What Jobs are available for Senior AI Engineers in Malaysia?

Overview

Senior Technical Talent Acquisition | Forex & Financial Industry | Malaysia Hiring Focus Machine Learning Engineer Who are we? CFI Financial Group is an award-winning trading provider with 25+ years of experience and offices worldwide including London, Larnaca, Beirut, Amman, Dubai, Port Louis, and others. CFI is hiring! Make your mark in the online trading industry. Job Description We are seeking a talented

Machine Learning Engineer

to join our growing team. Responsibilities

Design, build, and optimize ML models to support business and product needs. Develop, test, and deploy AI agents (internal and client-facing) using LLMs and MCP within Databricks. Implement Retrieval-Augmented Generation (RAG) systems and multi-step reasoning agents. Deliver scalable, robust ML and AI solutions that integrate seamlessly with existing systems. Acquire, clean, and analyze data from multiple sources to support ML initiatives. Ensure data and model quality, integrity, and compliance with best practices. Break down complex AI/ML projects into actionable tasks with realistic time estimates. Collaborate with cross-functional teams (data engineering, front-end, business, project management, product). Maintain clear documentation, project milestones, and deliverables. Foster a collaborative, innovative environment and contribute to knowledge sharing. Uphold and help establish coding standards and code review processes for AI/ML projects. Qualifications

Advanced Python skills with experience in ML libraries (TensorFlow, PyTorch, Scikit-learn, Keras). Proven experience developing and deploying LLM-powered agents with multi-step reasoning. Hands-on experience with RAG architectures and MCP. Strong proficiency in Databricks for ML workflows, training, and deployment. End-to-end experience deploying ML models and AI agents to production. Strong SQL skills and familiarity with relational & NoSQL databases. Experience with data streaming (Kafka, Flink, or similar). Familiarity with MLOps practices: model versioning, CI/CD, monitoring, automated retraining. Experience with cloud platforms (AWS, Azure, GCP) and containerization (Docker, Kubernetes). Experience with NLP, transformers, and predictive analytics models. Strong foundation in mathematics, statistics, and computer science. Fintech or financial services background strongly preferred. Excellent communication skills in English. Fast-growing, multinational company Competitive salaries and benefits Work and learn with industry professionals Supportive and collaborative environment Unlimited opportunities for growth and development Other

Seniority level: Mid-Senior level Employment type: Full-time Job function: Information Technology Referrals increase your chances of interviewing at CFI Financial Group by 2x Get notified about new Machine Learning Engineer jobs in

Petaling Jaya, Selangor, Malaysia . Kuala Lumpur, Federal Territory of Kuala Lumpur, Malaysia 1 week ago Kuala Lumpur, Federal Territory of Kuala Lumpur, Malaysia 2 weeks ago Federal Territory of Kuala Lumpur, Malaysia 2 weeks ago Kuala Lumpur, Federal Territory of Kuala Lumpur, Malaysia 1 week ago Junior Data Scientist (Recent graduates are encouraged to apply) WP. Kuala Lumpur, Federal Territory of Kuala Lumpur, Malaysia 1 week ago Federal Territory of Kuala Lumpur, Malaysia 1 week ago Kuala Lumpur, Federal Territory of Kuala Lumpur, Malaysia 2 weeks ago AI & Data - Data Scientist (GenAI), Experienced Hire Kuala Lumpur, Federal Territory of Kuala Lumpur, Malaysia 2 weeks ago Petaling Jaya, Selangor, Malaysia 4 days ago Petaling Jaya, Selangor, Malaysia 23 hours ago AI & Data - Data Scientist, Experienced Associate/Senior Associate Kuala Lumpur, Federal Territory of Kuala Lumpur, Malaysia 1 week ago Junior Data Engineer (Recent graduates are encouraged to apply) Federal Territory of Kuala Lumpur, Malaysia 1 week ago Kuala Lumpur, Federal Territory of Kuala Lumpur, Malaysia 1 month ago Petaling Jaya, Selangor, Malaysia 23 hours ago Bukit Jalil, Federal Territory of Kuala Lumpur, Malaysia 4 months ago Software Development, Integration & Test Engineer - Autonomous Driving (m/w/d) Petaling Jaya, Selangor, Malaysia 1 month ago Kuala Lumpur, Federal Territory of Kuala Lumpur, Malaysia 2 weeks ago Software Engineer - AI & Machine Learning (AI & ML) Federal Territory of Kuala Lumpur, Malaysia 2 weeks ago Petaling Jaya, Selangor, Malaysia 23 hours ago Federal Territory of Kuala Lumpur, Malaysia 2 weeks ago Federal Territory of Kuala Lumpur, Malaysia 3 weeks ago Data Scientist, GDAI - DM (GCB) - Data Science MY Kuala Lumpur, Federal Territory of Kuala Lumpur, Malaysia 1 week ago Kuala Lumpur, Federal Territory of Kuala Lumpur, Malaysia 2 weeks ago Kuala Lumpur, Federal Territory of Kuala Lumpur, Malaysia 4 days ago Kuala Lumpur, Federal Territory of Kuala Lumpur, Malaysia $2,000.00-$5,000.00 4 months ago We’re unlocking community knowledge in a new way. Experts add insights directly into each article, started with the help of AI.

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Our talented Data & AI Practice is made up of globally recognized experts - and there's room for more analytical and ambitious data professionals. If you're passionate about helping clients make better data-driven decisions to tackle their most complex business issues, let's talk. Take your skills to a new level and launch a career where you can truly do what matters.
Come join us:
The Databricks M/L Technical Lead is a senior, hands-on role responsible for the design, development, and delivery of highly scalable, secure, and performant data solutions on the Databricks Lakehouse Platform. It is expected to provide technical leadership to a team of engineers, defining coding standards, implementing architectural patterns, and ensuring the delivery of high-quality data products.
What you'll do:
* Lead the Design: Define and implement robust data architectures utilizing the Databricks ecosystem, including Delta Lake, Unity Catalog, Machine Learning Models and Databricks Workflows.
* Hands-on Development: Serve as the most senior developer, writing high-quality, production-grade code in PySpark/Scala and SQL for complex batch and streaming ETL/ELT pipelines.
* Performance Optimization: Lead performance tuning and optimization efforts for large-scale Spark jobs, ensuring efficient cluster utilization and cost management
* Standards & Best Practices: Define and enforce technical standards, code quality, testing frameworks (unit, integration), and DataOps/CI/CD pipelines for the engineering team.
Required Skills & Experience:
· 8+ years of experience in machine learning, data science, or MLOps, with at least 4+ years focused specifically on the Databricks Lakehouse Platform.
· Expert proficiency in Python and PySpark/Scala for large-scale data processing and machine learning.
· Deep understanding and practical experience with Delta Lake architecture and optimization techniques.
· Proven expertise implementing MLOps principles using MLflow (Tracking, Registry, Projects, and Deployment).
Preferred Skills & Certifications:
* Experience with Databricks features like Databricks Workflows, and Unity Catalog.
* Experience with streaming technologies (e.g., Kafka, Spark Streaming).
* Familiarity with CI/CD tools and Infrastructure-as-Code (e.g., Terraform, Databricks Asset Bundles).
* Databricks Certified Machine Learning Professional certified.
About you
Characteristics that can spell success for this role
· Consultative, collaborative, curious
· Resilient, adaptable, flexible
· Humble leader, strong negotiator, relationship builder
· Passionate about tech and engaging with and advising clients
Enjoy your career
Some of the best things about working at Avanade
· People-first culture that supports innovation and encourages people to move forward
· Turn your ideas to human impact by cultivating a team that will help clients unlock what's next
· Opportunities to innovate in the Microsoft platform while charting your own career path
· On-the-job growth through hackathons, innovation contests, and other expressions of our passion for innovating with purpose
· Real-time access to technical and skilled resources globally
Find out more about some of our benefits (1) here.
A great place to work
As you bring your skills and abilities to Avanade, you'll get distinctive experiences, limitless learning, and ambitious growth in return. As we continue to build our diverse and inclusive culture, we become even more innovative and creative, helping us better serve our clients and our communities. You'll join a community of smart, supportive collaborators to lift, mentor, and guide you, but to also lean on your expertise. You get a company purpose-built for business-critical, leading-edge technology solutions, committed to improving the way humans work, interact, and live. It's all here, so take a closer look!
We work hard to provide an inclusive, diverse culture with a deep sense of belonging for all our employees. Visit our (2) Inclusion & Diversity page.
Create a future for our people that focuses on
- Expanding your thinking - Experimenting courageously - Learning and pivoting
Inspire greatness in our people by
- Empowering every voice - Encouraging boldness - Celebrating progress
Accelerate the impact of our people by
- Amazing the client - Prioritizing what matters - Acting as one
Learn more
To learn more about the types of projects our Data & AI team works on check out these case studies:
· (3) thyssenkrupp Materials Services uses data to help strike a delicate operational balance
· (4) What matters to SSE Renewables is innovating for a sustainable future
· (5) Hachette UK enables employees with machine learning-driven contract searches
· (6) Marston Holdings identifies significant cloud savings
Interested in knowing what's going on inside Avanade? Check out our blogs:
· (7) Avanade Insights - exchange ideas that drive tomorrow's innovation
· (8) Inside Avanade - explore what life is like working at Avanade
References
Visible links
1. work hard to provide an inclusive, diverse culture with a deep sense of belonging for all our employees. Avanade believes that all persons are entitled to equal employment opportunities, and we do not discriminate against our employees, applicants, or job seekers because of their race, color, gender, religion, national origin, disability, veteran status, age, marital status, sexual orientation, genetic information, gender identity, or any other protect group status as defined by law.

MoneyLion is a leader in financial technology powering the next generation of personalized products and content, with a top consumer finance super app, a premier embedded finance platform for enterprise businesses and a world-class media arm. MoneyLion’s mission is to give everyone the power to make their best financial decisions. We pride ourselves on serving the many, not the few; providing confidence through guidance, choice, personalization; and shortening the distance to an informed action. In our go-to money app for consumers, we deliver curated content on finance and related topics, through a tailored feed that engages people to learn and share. People take control of their finances with our innovative financial products and marketplace - including our full-fledged suite of features to save, borrow, spend, and invest - seamlessly bringing together the best offers and content from MoneyLion and our 1,100+ Enterprise Partner network, together in one experience. MoneyLion’s enterprise technology provides the definitive search engine and marketplace for financial products, enabling any company to add embedded finance to their business, with advanced AI-backed data and tools through our platform and API. Established in 2013, MoneyLion connects millions of people with the financial products and content they need, when and where they need it. About the Role The Kuala Lumpur office is the technology powerhouse of MoneyLion. We pride ourselves on innovative initiatives and thrive in a fast-paced and challenging environment. Join our multicultural team of visionaries and industry rebels in disrupting the traditional finance industry! We are looking for a Machine Learning Engineer who is technically proficient in programming to build machine learning systems and maintain high performing machine learning models in production. Designing machine learning systems requires that you, as the machine learning engineer, be able to frame business problems and design machine learning solutions that can effectively bring value to the company. You will prototype, implement and experiment with machine learning methods to solve business use cases. You will lead efforts to automate, architect and optimize machine learning processes and workflows. You will also help define, execute and enforce best practices for test-driven model development processes for the entire Data Science team in MoneyLion. Key Responsibilities Able to frame and contextualize machine learning problems Research, build and design machine learning systems and models that can solve business problems Assess, understand and analyze data to select appropriate datasets for data modeling and testing Identify, prototype and implement appropriate machine learning algorithms and tools to improve our products Design, execute and monitor machine learning model experiments and metrics Perform statistical analysis to evaluate and prove business impact of modeling improvements Automate, architect and orchestrate machine learning processes and pipelines Monitor, optimize and maintain machine learning solutions in production Enrich existing machine learning libraries and model development frameworks to empower model development in MoneyLion Work with MLOps Engineers and Data Scientists to improve systems designs and architectures Enforce test-driven development and advocate engineering best practices to reduce technical debt in machine learning systems Develop tools and internal libraries to facilitate model governance over the machine learning development lifecycle About You 3 - 5 years of experience in machine learning Strong mathematical, statistical or actuarial background Good programming knowledge and software engineering skills Must have hands-on experience in machine learning, predictive analytics and statistical modeling Experience developing and deploying machine learning models in production. Adept at problem solving and troubleshooting using both textbook methods and novel viewpoints Proficient in Python and SQL Proficient with machine learning libraries and frameworks such as scikit-learn, XGBoost, LightGBM Preferably have experience in building machine learning systems and workflows Preferably familiar and have experience with MLOps tools such as DVC, MLFlow, Metaflow, Seldon, BentoML Preferably familiar and have experience with AWS, Docker, Kubernetes. Solid communication and collaboration skills. What's Next. After you submit your application, you can expect the following steps in the recruitment process: Online Technical Test Interview - Talent Acquisition Team (Virtual or face-to-face) Take-Home Assessment Interview & Discussion of Take-Home Assessment - Hiring Manager (Virtual or face-to-face) *If you’ve already sent in your application for this position and were not selected, please reapply after 6 months.* What We Value

We value

growth-minded

and

collaborative

people with high

learning agility

who embody our core values of

teamwork, customer-first

and

innovation . Every member of the MoneyLion Team is passionate about fintech and ready to give 100% in helping us achieve our mission. Working At MoneyLion At MoneyLion, we want you to be well and thrive. Our generous benefits package includes: Competitive salary packages Wellness perks Paid parental leave Generous Paid Time Off Learning and Development resources MoneyLion is committed to equal employment opportunities for all employees. Inside our company, every decision we make regarding our employees is based on merit, competence, and performance, completely free of discrimination. We are committed to building a team that represents a variety of backgrounds, perspectives, and skills. Within that team, no one will feel more “other” than anyone else. We realize the full promise of diversity and want you to bring your whole self to work every single day.

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Overview

Career.io is dedicated to creating a better landscape for job seekers everywhere. Through our community of career experts and data insights, our brands—we empower professionals to take control of their careers, tell the best version of their career stories, and reach their full potential. This is a 100% remote/work-from-home role. This is a temporary 6 month contract position. The Role

Career.io is seeking a highly experienced Machine Learning Engineer to join our innovative team. As a Machine Learning Engineer, you will be responsible for developing and implementing machine learning models and algorithms to solve complex business problems and drive data-driven decision-making. You will collaborate closely with data scientists, software engineers, and other stakeholders to deploy machine learning solutions in production environments. MUST HAVE: ML experience with both classical ML and deep learning (PyTorch/TensorFlow), with a proven track record shipping ML products end-to-end Optimization and causal inference expertise including multi-objective optimization, constraint satisfaction, and counterfactual/scenario modeling for decision support systems Familiarity with LLMs and generative AI with basic understanding of how to integrate LLM APIs, or willingness to quickly learn prompt engineering and RAG concepts Strong software engineering fundamentals with ability to handle messy real-world data, build scalable systems, and communicate technical concepts to non-technical stakeholders Experience with data preprocessing, feature engineering, and data visualization Understanding of supervised and unsupervised learning techniques Familiarity with deep learning architectures and neural networks Proficiency in using cloud platforms (e.g., AWS, Azure, GCP) for model deployment and scaling Strong problem-solving skills and the ability to work with complex, unstructured data Excellent communication and teamwork skills to collaborate with cross-functional teams Experience with version control systems like Git Knowledge of data privacy and security considerations in machine learning Ability to work independently and adapt to fast-paced, evolving projects NICE TO HAVE: Experience with reinforcement learning Knowledge of containerization (e.g., Docker) and orchestration (e.g., Kubernetes) Familiarity with big data technologies (e.g., Hadoop, Spark) Contributions to open-source machine learning projects or publications in the field Experience with automated machine learning (AutoML) tools and platforms At Career.io, we believe that diversity in thought and cultural background leads to better teams and stronger companies. We seek talented, qualified employees, regardless of race, color, sex/gender (including pregnancy, gender identity, and gender expression), national origin, religion, sexual orientation, disability, age, marital status, citizen status, veteran status, or any other protected classification under country or local law. Career.io is proud to be an Equal Employment Opportunity Employer. Come join our team. Together, we’ll help others tell their career stories and land their dream jobs. Seniority level

Mid-Senior level Employment type

Contract Job function

Engineering and Information Technology Industries Internet Publishing Note

Referrals increase your chances of interviewing at career.io.

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Grab is Southeast Asia's leading superapp. From getting your favourite meals delivered to helping you manage your finances and getting around town hassle-free, we've got your back with everything. In Grab, purpose gives us joy and habits build excellence, while harnessing the power of Technology and AI to deliver the mission of driving Southeast Asia forward by economically empowering everyone, with heart, hunger, honour, and humility. Job Description

Get to know the Team: In the Mobility Data Science team you are at the core and center of Grab's ride hailing business. We are responsible for building and serving AI models to empower our pax' ride hailing experience in Grab. Our primary goals are to enhance our passenger experience, and drive decision-making that contributes to user growth and platform efficiency We leverage your mathematical modeling, statistical analysis, machine learning algorithms, and programming proficiency to drive data-driven decisions and help us conquer unique business challenges in the ride-hailing industry Get to know the role: Explore and extract insights from massive dataset of geospatial, behavioral, economic, and tens of millions of interactions of our passengers on our platform that can improve passenger experience and network efficiency Contribute to solving key business problems such as user experience, user growth, demand and supply balancing, and service differentiation. Develop and implement machine learning models to predict ride demand, passenger preferences, passenger cancellation/churn and improve the overall efficiency of the ride-hailing system. Continues improvement through iterative model enhancement and A/B testing Collaborate cross-functionally with software engineers, product managers, and operational teams to translate business needs into data solutions, implementing and deploying these solutions at scale. Contribute to team's innovation and IP creation Qualifications

Ph.D. graduate, or Master's Degree graduate with at least 3 years of experience, in Machine Learning, Statistics, Applied Mathematics, Computer Science, Economics, Operations Research, or a related field Extensive proven experience as a Data Scientist, preferably within the ride-hailing or related industries. Deep understanding of machine learning, deep learning, data mining, algorithmic foundations of optimization. Experience with machine learning framework (Tensorflow, pytorch, etc) Proficient in one or more of the following programming languages: Python, Scala. Self-motivated, independent learner, and willing to share knowledge with team members Excellent interpersonal and communication skills to foster collaboration with team members and effectively articulate insights to stakeholders. Ability to thrive in a dynamic, fast-paced work environment, managing multiple priorities simultaneously. Additional Information

Life at Grab We care about your well-being at Grab, here are some of the global benefits we offer: We have your back with

Term Life Insurance

and comprehensive

Medical Insurance. With

GrabFlex , create a benefits package that suits your needs and aspirations. Celebrate moments that matter in life with loved ones through

Parental

and

Birthday leave , and give back to your communities through

Love-all-Serve-all (LASA)

volunteering leave We have a confidential

Grabber Assistance Programme

to guide and uplift you and your loved ones through life's challenges. Balancing personal commitments and life's demands are made easier with our FlexWork arrangements such as differentiated hours What We Stand For At Grab We are committed to building an inclusive and equitable workplace that provides equal opportunity for Grabbers to grow and perform at their best. We consider all candidates fairly and equally regardless of nationality, ethnicity, race, religion, age, gender, family commitments, physical and mental impairments or disabilities, and other attributes that make them unique.

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Transform Language Models into Real-World Applications At Bjak, we’re building AI systems that reach millions across Southeast Asia. Our Machine Learning team is at the forefront of text generation, captioning, moderation, and chat-like interactions, deploying LLMs into real-world products that must be fast, safe, and aligned with our brand voice.

This role is based in Malaysia with a hybrid work arrangement - combining flexible remote work with in‑office collaboration at our HQ. You’ll work closely with regional teams across product, engineering, and data to build and scale impactful AI solutions.

Why This Role Matters We are scaling LLM capabilities that power how people interact with financial services. As a Machine Learning Engineer (LLM), you’ll fine‑tune state‑of‑the‑art models, design evaluation frameworks, and bring AI features into production. Your work ensures our models are not only intelligent, but also safe, trustworthy, and impactful at scale.

What You’ll Do

Fine‑tune & Adapt - Use LoRA/QLoRA to optimize open‑source models (LLaMA, Mistral, Gemma) for Bjak’s applications.

Engineer Prompts & Curate Data - Craft prompts and datasets that reflect tone, brand voice, and safety.

Evaluate Models – Build metrics pipelines for perplexity, toxicity, and relevance to ensure safe and high‑quality outputs.

Deploy & Monitor – Scale models into production with performance optimization and monitoring for drift.

Collaborate & Deliver – Partner with product, engineering, and design teams to launch user‑facing AI features.

You’ll Thrive Here If You.

Treat every problem as your own, regardless of scope or title.

Enjoy switching hats - builder, debugger, architect, and product thinker when needed.

Believe clarity comes from action - prototype, test, and iterate without waiting for perfect plans.

Stay calm and effective in startup chaos - shifting priorities and building from zero doesn’t faze you.

Bias for speed - you believe it’s better to deliver something valuable now than a perfect version much later.

See feedback and failure as part of growth - you’re here to level up.

Believe “done” beats “perfect,” but still care deeply about UX and code quality.

Show up with humility, hunger, and hustle, and lift others up as you go.

Requirements

Strong experience in transformers, deep learning, and fine‑tuning methods (LoRA/QLoRA, SFT, distillation).

Proficiency with PyTorch (preferred) or TensorFlow.

Skilled in prompt engineering and dataset curation for alignment with tone, safety, and trust.

Familiar with evaluation metrics: perplexity, toxicity, relevance.

Strong software engineering foundations in algorithms, data structures, and clean code practices.

Nice to Have

Prior work in text generation, moderation, or personalization.

Experience with RLHF or reinforcement learning in LLMs.

Contributions to open‑source ML projects.

What You’ll Get

Competitive salary and performance‑based bonuses

Flexibility in work arrangement

High‑impact role with visibility across product, data, and engineering

Flat structure - your work is seen, your ideas are heard

Fast learning curve and accelerated growth in a mission‑driven company

Cross‑border exposure to regional product development

Our Team & Culture We’re a lean, high‑performance team that moves fast and holds a high bar. Titles don’t matter here - output, integrity, and ownership do. Everyone is expected to roll up their sleeves, contribute meaningfully, and take initiative. We reward people who think like owners. We value speed, clarity, and relentless ownership. If you’re hungry to grow and care deeply about excellence, this is your kind of environment.

About Bjak BJAK is Southeast Asia’s #1 insurance aggregator with 8M+ users, fully owned by its employees. Headquartered in Malaysia and operating in Thailand, Taiwan, and Japan, we help millions of users access transparent and affordable financial protection through Bjak.com. We simplify complex financial products through cutting‑edge technologies, including APIs, automation, and AI, to build the next generation of intelligent financial systems.

If you’re excited to build real‑world AI systems and grow fast in a high‑impact environment, we’d love to hear from you.

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Transform Language Models into Real-World Applications

We're building AI systems for a global audience. We are living in an era of AI transition - this new project team will be focusing on building applications to enable more real world impact and highest usage for the world. This role is a global role with hybrid work arrangement - combining flexible remote work with in-office collaboration at our HQ. You'll work closely with regional teams across product, engineering, operations, infrastructure and data to build and scale impactful AI solutions. Why This Role Matters You'll fine-tune state-of-the-art models, design evaluation frameworks, and bring AI features into production. Your work ensures our models are not only intelligent, but also safe, trustworthy, and impactful at scale. What You'll Do

Fine-tune & adapt - Use LoRA/QLoRA to optimize open-source models (LLaMA, Mistral, Gemma) Engineer prompts & curates data - Craft prompts and datasets that reflect tone, brand voice, and safety. Evaluate models - Build metrics pipelines for perplexity, toxicity, and relevance to ensure safe and high-quality outputs. Deploy & monitor - Scale models into production with performance optimization and monitoring for drift. Collaborate & deliver - Partner with product, engineering, and design teams to launch user-facing AI features. What Is It Like Likes ownership and independence Believe clarity comes from action - prototype, test, and iterate without waiting for perfect plans. Stay calm and effective in startup chaos - shifting priorities and building from zero doesn't faze you. Bias for speed - you believe it's better to deliver something valuable now than a perfect version much later. See feedback and failure as part of growth - you're here to level up. Possess humility, hunger, and hustle, and lift others up as you go. Requirements Strong experience in transformers, deep learning, and fine-tuning methods (LoRA/QLoRA, SFT, distillation). Proficiency with PyTorch (preferred) or TensorFlow. Skilled in prompt engineering and dataset curation for alignment with tone, safety, and trust. Familiar with evaluation metrics: perplexity, toxicity, relevance. Strong software engineering foundations in algorithms, data structures, and clean code practices. Nice to Have Prior work in text generation, moderation, or personalization. Experience with RLHF or reinforcement learning in LLMs. Contributions to open-source ML projects. What You'll Get Flat structure & real ownership Full involvement in direction and consensus decision making Flexibility in work arrangement High-impact role with visibility across product, data, and engineering Top-of-market compensation and performance-based bonuses Global exposure to product development Lots of perks - housing rental subsidies, a quality company cafeteria, and overtime meals Health, dental & vision insurance Global travel insurance (for you & your dependents) Unlimited, flexible time off Our Team & Culture

We're a densed, high-performance team focused on high quality work and global impact. We behave like owners. We value speed, clarity, and relentless ownership. If you're hungry to grow and care deeply about excellence, join us. About Bjak BJAK is Southeast Asia's #1 insurance aggregator with 8M+ users, fully owned by its employees. Headquartered in Malaysia and operating in Thailand, Taiwan, and Japan, we help millions of users access transparent and affordable financial protection through Bjak.com. We simplify complex financial products through cutting-edge technologies, including APIs, automation, and AI, to build the next generation of intelligent financial systems. If you're excited to build real-world AI systems and grow fast in a high-impact environment, we'd love to hear from you.

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Overview

Career.io is dedicated to creating a better landscape for job seekers everywhere. Through our community of career experts and data insights, our brands—we empower professionals to take control of their careers, tell the best version of their career stories, and reach their full potential. This is a 100% remote/work-from-home role. This is a temporary 6 month contract position. The Role

Career.io is seeking a highly experienced Machine Learning Engineer to join our innovative team. As a Machine Learning Engineer, you will be responsible for developing and implementing machine learning models and algorithms to solve complex business problems and drive data-driven decision-making. You will collaborate closely with data scientists, software engineers, and other stakeholders to deploy machine learning solutions in production environments. MUST HAVE: ML experience with both classical ML and deep learning (PyTorch/TensorFlow), with a proven track record shipping ML products end-to-end Optimization and causal inference expertise including multi-objective optimization, constraint satisfaction, and counterfactual/scenario modeling for decision support systems Familiarity with LLMs and generative AI with basic understanding of how to integrate LLM APIs, or willingness to quickly learn prompt engineering and RAG concepts Strong software engineering fundamentals with ability to handle messy real-world data, build scalable systems, and communicate technical concepts to non-technical stakeholders Experience with data preprocessing, feature engineering, and data visualization Understanding of supervised and unsupervised learning techniques Familiarity with deep learning architectures and neural networks Proficiency in using cloud platforms (e.g., AWS, Azure, GCP) for model deployment and scaling Strong problem-solving skills and the ability to work with complex, unstructured data Excellent communication and teamwork skills to collaborate with cross-functional teams Experience with version control systems like Git Knowledge of data privacy and security considerations in machine learning Ability to work independently and adapt to fast-paced, evolving projects NICE TO HAVE: Experience with reinforcement learning Knowledge of containerization (e.g., Docker) and orchestration (e.g., Kubernetes) Familiarity with big data technologies (e.g., Hadoop, Spark) Contributions to open-source machine learning projects or publications in the field Experience with automated machine learning (AutoML) tools and platforms At Career.io, we believe that diversity in thought and cultural background leads to better teams and stronger companies. We seek talented, qualified employees, regardless of race, color, sex/gender (including pregnancy, gender identity, and gender expression), national origin, religion, sexual orientation, disability, age, marital status, citizen status, veteran status, or any other protected classification under country or local law. Career.io is proud to be an Equal Employment Opportunity Employer. Come join our team. Together, we’ll help others tell their career stories and land their dream jobs. Seniority level

Mid-Senior level Employment type

Contract Job function

Engineering and Information Technology Industries Internet Publishing Note

Referrals increase your chances of interviewing at career.io.

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Overview

Career.io is dedicated to creating a better landscape for job seekers everywhere. Through our community of career experts and data insights, our brands—we empower professionals to take control of their careers, tell the best version of their career stories, and reach their full potential. This is a 100% remote/work-from-home role. This is a temporary 6 month contract position. The Role

Career.io is seeking a highly experienced Machine Learning Engineer to join our innovative team. As a Machine Learning Engineer, you will be responsible for developing and implementing machine learning models and algorithms to solve complex business problems and drive data-driven decision-making. You will collaborate closely with data scientists, software engineers, and other stakeholders to deploy machine learning solutions in production environments. MUST HAVE: ML experience with both classical ML and deep learning (PyTorch/TensorFlow), with a proven track record shipping ML products end-to-end Optimization and causal inference expertise including multi-objective optimization, constraint satisfaction, and counterfactual/scenario modeling for decision support systems Familiarity with LLMs and generative AI with basic understanding of how to integrate LLM APIs, or willingness to quickly learn prompt engineering and RAG concepts Strong software engineering fundamentals with ability to handle messy real-world data, build scalable systems, and communicate technical concepts to non-technical stakeholders Experience with data preprocessing, feature engineering, and data visualization Understanding of supervised and unsupervised learning techniques Familiarity with deep learning architectures and neural networks Proficiency in using cloud platforms (e.g., AWS, Azure, GCP) for model deployment and scaling Strong problem-solving skills and the ability to work with complex, unstructured data Excellent communication and teamwork skills to collaborate with cross-functional teams Experience with version control systems like Git Knowledge of data privacy and security considerations in machine learning Ability to work independently and adapt to fast-paced, evolving projects NICE TO HAVE: Experience with reinforcement learning Knowledge of containerization (e.g., Docker) and orchestration (e.g., Kubernetes) Familiarity with big data technologies (e.g., Hadoop, Spark) Contributions to open-source machine learning projects or publications in the field Experience with automated machine learning (AutoML) tools and platforms At Career.io, we believe that diversity in thought and cultural background leads to better teams and stronger companies. We seek talented, qualified employees, regardless of race, color, sex/gender (including pregnancy, gender identity, and gender expression), national origin, religion, sexual orientation, disability, age, marital status, citizen status, veteran status, or any other protected classification under country or local law. Career.io is proud to be an Equal Employment Opportunity Employer. Come join our team. Together, we’ll help others tell their career stories and land their dream jobs. Seniority level

Mid-Senior level Employment type

Contract Job function

Engineering and Information Technology Industries Internet Publishing Note

Referrals increase your chances of interviewing at career.io.

#J-18808-Ljbffr