109 Model Training jobs in Kuala Lumpur
Software Engineer, AI Model Training - Team Lead
Posted 9 days ago
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Software Engineer, AI Model Training - Team Lead
Job Openings Software Engineer, AI Model Training - Team Lead
About the job Software Engineer, AI Model Training - Team LeadKey Responsibilities
Team Leadership and Management:
Supervise and lead a team of coders/developers working on AI training data tasks, ensuring productivity, quality, and efficiency standards are met.
Provide daily guidance, mentoring, and support to team members to foster growth and maintain a positive work environment.
Conduct performance evaluations, provide regular feedback, and support professional development for team members.
Organize and schedule shifts and tasks, ensuring adequate coverage and that deadlines are met.
Quality Assurance:
Ensure the work produced by the team adheres to strict quality standards in terms of accuracy, efficiency, and consistency for AI training datasets.
Conduct regular reviews of the code and training data submitted by team members to ensure they align with project specifications.
Implement continuous improvements for coding processes to enhance the quality and effectiveness of AI model training.
Client Communication and Reporting:
Act as the primary point of contact for clients regarding project updates, timelines, and progress.
Prepare and present regular reports on team performance, project status, and any issues or risks to both internal and external stakeholders.
Address client inquiries, concerns, and feedback, ensuring client satisfaction and maintaining positive relationships.
Training and Development:
Facilitate training programs to upskill team members in coding, AI training datasets, and the specific needs of AI model training.
Stay updated with the latest trends in AI technologies, machine learning, and coding best practices, and share this knowledge with the team.
Performance Monitoring and KPI Management:
Define and track key performance indicators (KPIs) for team productivity, quality, and project delivery.
Implement corrective actions where necessary to ensure continuous performance improvement.
Create and maintain performance dashboards and regular team metrics reports for management review.
Problem Solving and Issue Resolution:
Address team or project challenges, providing solutions to technical, logistical, or communication issues as they arise.
Escalate any critical issues that cannot be resolved at the team level to higher management in a timely manner.
Qualifications
- Bachelors degree in Computer Science, Engineering, or a related field. A Masters degree is a plus.
- 3+ years of experience in a coding or software development role, with a focus on AI, machine learning, or data annotation.
- 2+ years of experience in a leadership or management position, ideally in a BPO or outsourcing environment.
- Familiarity with AI model training processes, including the creation of training datasets and the technical aspects of machine learning.
- Excellent leadership skills with the ability to manage, motivate, and develop a team.
- Strong problem-solving skills, with the ability to analyze data and resolve issues effectively.
- Experience with project management tools (e.g., Jira, Asana, Trello) a plus
- Ability to communicate complex technical concepts to both technical and non-technical stakeholders.
Why Join Gear Inc?Competitive salary and benefits package.
Dynamic and inclusive work environment.
Opportunities for professional growth and development.
Be part of a company with a global presence and an innovative mindset.
#J-18808-LjbffrSoftware Engineer, AI Model Training - Team Lead
Posted 9 days ago
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Job Description
Job Openings Software Engineer, AI Model Training - Team Lead About the job Software Engineer, AI Model Training - Team Lead
Key Responsibilities Team Leadership and Management: Supervise and lead a team of coders/developers working on AI training data tasks, ensuring productivity, quality, and efficiency standards are met. Provide daily guidance, mentoring, and support to team members to foster growth and maintain a positive work environment. Conduct performance evaluations, provide regular feedback, and support professional development for team members. Organize and schedule shifts and tasks, ensuring adequate coverage and that deadlines are met. Quality Assurance: Ensure the work produced by the team adheres to strict quality standards in terms of accuracy, efficiency, and consistency for AI training datasets. Conduct regular reviews of the code and training data submitted by team members to ensure they align with project specifications. Implement continuous improvements for coding processes to enhance the quality and effectiveness of AI model training. Client Communication and Reporting: Act as the primary point of contact for clients regarding project updates, timelines, and progress. Prepare and present regular reports on team performance, project status, and any issues or risks to both internal and external stakeholders. Address client inquiries, concerns, and feedback, ensuring client satisfaction and maintaining positive relationships. Training and Development: Facilitate training programs to upskill team members in coding, AI training datasets, and the specific needs of AI model training. Stay updated with the latest trends in AI technologies, machine learning, and coding best practices, and share this knowledge with the team. Performance Monitoring and KPI Management: Define and track key performance indicators (KPIs) for team productivity, quality, and project delivery. Implement corrective actions where necessary to ensure continuous performance improvement. Create and maintain performance dashboards and regular team metrics reports for management review. Problem Solving and Issue Resolution: Address team or project challenges, providing solutions to technical, logistical, or communication issues as they arise. Escalate any critical issues that cannot be resolved at the team level to higher management in a timely manner. Qualifications - Bachelors degree in Computer Science, Engineering, or a related field. A Masters degree is a plus. - 3+ years of experience in a coding or software development role, with a focus on AI, machine learning, or data annotation. - 2+ years of experience in a leadership or management position, ideally in a BPO or outsourcing environment. - Familiarity with AI model training processes, including the creation of training datasets and the technical aspects of machine learning. - Excellent leadership skills with the ability to manage, motivate, and develop a team. - Strong problem-solving skills, with the ability to analyze data and resolve issues effectively. - Experience with project management tools (e.g., Jira, Asana, Trello) a plus - Ability to communicate complex technical concepts to both technical and non-technical stakeholders. Why Join Gear Inc?
Competitive salary and benefits package. Dynamic and inclusive work environment. Opportunities for professional growth and development. Be part of a company with a global presence and an innovative mindset.
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Azure, Data & AI Business Development Director (IC) for Malaysia
Posted 7 days ago
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Overview
Azure, Data & AI Business Development Director (IC) for Malaysia – Kuala Lumpur, Malaysia. The role is an Individual Contributor focused on growing new Azure, Data & AI services opportunities and driving the entire sales cycle from initial engagement to contract closure.
Responsibilities- Establish relationships with new and existing customers and secure new business in the assigned portfolio element.
- Collaborate with Account Managers to ensure the overall account strategy and goals are followed and achieved.
- Maintain a detailed knowledge of the assigned portfolio to enable meaningful conversations with customers and prospects.
- Work with Technical Architects/Practice Leaders to design appropriate solutions for customers.
- Collaborate with Partners (e.g., Microsoft) to grow services around Microsoft technology.
- Provide feedback to Account Management to shorten the sales cycle, enhance sales, and strengthen the company brand and reputation.
- Provide feedback to the service delivery team to ensure the delivered service meets or exceeds client satisfaction.
- Construct service contracts and associated commercial models based on scope and customer outcomes.
- Existing Full-Time Work Rights in Malaysia
- Ability to commute to the office in Kuala Lumpur and visit clients in Malaysia
- 10+ years of enterprise technology strategic sales/pre-sales experience with knowledge of selling cloud and digital transformation solutions, specifically Microsoft Azure, Data & AI.
- Ability to articulate cloud transformation use cases relevant to the customer’s industry and size and understand their journey stage.
- Engage with stakeholders from IT to C-level; create an IT transformation roadmap covering Cloud services, Modern Workplace, and provide business value of the offering.
- Position cloud services and related advisory or professional services based on customer requirements.
- Articulate the importance of adoption and change management in the customer journey; knowledge of Microsoft 365 technologies and secure, flexible workplace environments.
- Experience selling Data or Application transformation solutions, especially around Microsoft Azure.
- Experience selling professional services, managed services, and consulting services; ability to structure go-to-market offerings.
- Understanding of key cloud technologies and trends: Modern Workplace, Application Modernization, Data & Analytics, containers, cloud operating models, and cloud economics.
- Experience preparing and presenting formal proposals; leading negotiations and complex decision-making processes toward closure.
- Strong knowledge of the public cloud market in Asia and cloud consumption economics.
- Strong knowledge of data and application development using Microsoft technologies.
- Expertise in enterprise solution selling and cloud-based solutions; strong territory/account management and sales leadership capabilities.
- Experience selling to C-suite executives by aligning cloud transformation value with business strategy.
- Experience leading large cloud engagements, including infrastructure modernization and migration.
- Excellent executive-level communication and presentation skills, with strong problem-solving and negotiation abilities.
- Collaborative skills to engage internal and external stakeholders.
Discover the heartbeat of SoftwareOne. Our values guide how we work, connect, and succeed with customers and teams.
Legal and NoticesSoftwareOne does not accept unsolicited resumes from recruiters or employment agencies. Without a signed Services Agreement with a recruiter, SoftwareOne will not pay referral fees.
Job DetailsLocation: Malaysia
Seniority level: Mid-Senior level
Employment type: Full-time
Job function: Business Development, Sales, and Consulting
Industries: IT Services and IT Consulting
Azure, Data & AI Business Development Director (IC) for Malaysia
Posted 7 days ago
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Job Description
Azure, Data & AI Business Development Director (IC) for Malaysia – Kuala Lumpur, Malaysia. The role is an Individual Contributor focused on growing new Azure, Data & AI services opportunities and driving the entire sales cycle from initial engagement to contract closure. Responsibilities
Establish relationships with new and existing customers and secure new business in the assigned portfolio element. Collaborate with Account Managers to ensure the overall account strategy and goals are followed and achieved. Maintain a detailed knowledge of the assigned portfolio to enable meaningful conversations with customers and prospects. Work with Technical Architects/Practice Leaders to design appropriate solutions for customers. Collaborate with Partners (e.g., Microsoft) to grow services around Microsoft technology. Provide feedback to Account Management to shorten the sales cycle, enhance sales, and strengthen the company brand and reputation. Provide feedback to the service delivery team to ensure the delivered service meets or exceeds client satisfaction. Construct service contracts and associated commercial models based on scope and customer outcomes. Job Requirements
Existing Full-Time Work Rights in Malaysia Ability to commute to the office in Kuala Lumpur and visit clients in Malaysia Technical Qualifications
10+ years of enterprise technology strategic sales/pre-sales experience with knowledge of selling cloud and digital transformation solutions, specifically Microsoft Azure, Data & AI. Ability to articulate cloud transformation use cases relevant to the customer’s industry and size and understand their journey stage. Engage with stakeholders from IT to C-level; create an IT transformation roadmap covering Cloud services, Modern Workplace, and provide business value of the offering. Position cloud services and related advisory or professional services based on customer requirements. Articulate the importance of adoption and change management in the customer journey; knowledge of Microsoft 365 technologies and secure, flexible workplace environments. Experience selling Data or Application transformation solutions, especially around Microsoft Azure. Experience selling professional services, managed services, and consulting services; ability to structure go-to-market offerings. Understanding of key cloud technologies and trends: Modern Workplace, Application Modernization, Data & Analytics, containers, cloud operating models, and cloud economics. Experience preparing and presenting formal proposals; leading negotiations and complex decision-making processes toward closure. Strong knowledge of the public cloud market in Asia and cloud consumption economics. Strong knowledge of data and application development using Microsoft technologies. Expertise in enterprise solution selling and cloud-based solutions; strong territory/account management and sales leadership capabilities. Experience selling to C-suite executives by aligning cloud transformation value with business strategy. Experience leading large cloud engagements, including infrastructure modernization and migration. Excellent executive-level communication and presentation skills, with strong problem-solving and negotiation abilities. Collaborative skills to engage internal and external stakeholders. Why SoftwareOne?
Discover the heartbeat of SoftwareOne. Our values guide how we work, connect, and succeed with customers and teams. Legal and Notices
SoftwareOne does not accept unsolicited resumes from recruiters or employment agencies. Without a signed Services Agreement with a recruiter, SoftwareOne will not pay referral fees. Job Details
Location: Malaysia Seniority level: Mid-Senior level Employment type: Full-time Job function: Business Development, Sales, and Consulting Industries: IT Services and IT Consulting
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(Remote) Cybersecurity & AI Sales Development Representative / GTM Executive, Asia
Posted 8 days ago
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Job Description
Location:
Fully Remote. Malaysia, Indonesia, Singapore would be strongly preferred About Us:
AI Sales DR is an AI Services startup that is at the forefront of shaping the future of Sales function in the era of AI in Asia. We provide AI-led lead generation solution to B2B customers, especially Cybersecurity vendors, across Asia. Our core values are 1) Customer Centricity (we offer money back guarantees for our solutions) and 2) Employees grow before the Company grow (clearly defined career path & promotion timeline due to our promote from within culture). We pride ourselves on our diverse and inclusive work culture, where every team member is valued and respected. Remuneration:
Up to MYR 10,500 per month in total. Monthly base pay MYR 2,500 to MYR 4,150. Additional commission variable pay is monthly MYR 2,500 to MYR 4,150, with 200% accelerator when exceeding target. Hence total monthly remuneration is MYR 5,000 to MYR 10,500 per month. There could also be Employee Stock Options of an early-stage AI Services startup. Job Description:
As a resourceful, fluent English-speaking Cybersecurity Sales Development Representative (SDR) / GTM Executive at AI Sales DR, you will play a crucial role in using our proprietary AI technology to deliver results that exceed the expectations of our Cybersecurity customers. You will be responsible for identifying and qualifying prospects & generating leads by setting up discovery meetings or calls for our customers via email campaigns and cold calling. This is in partnership with our GTM engineer, to jointly reinvent the Sales function in the era of AI and contribute inputs towards the building of Agentic AI workflows & automation. This role requires a proactive and motivated individual who is eager to learn and grow. Key Responsibilities: Lead Research & Prospecting - Research and identify potential leads across
LinkedIn, Google etc.
with the aid of AI tools, - Enrich contacts via leading tools & obtain verified contacts, - Research and profile key decision-makers at target companies for our Cybersecurity clients. - Set up and execute
hyper-personalised outbound email campaigns
using our AI tools and email marketing/automation platforms (e.g. Instantly, Lemlist, Mailjet), - Analyse email campaigns, optimize email automation and act on signals with cold calls, - Coordinate and schedule follow-ups with interested prospects and our customers. Cold Calling & Lead Qualification - Make cold calls in fluent English
to follow up on email leads or direct cold calls without fear, - Qualify the lead, gather key information, and book meetings or calls for our customers, - Handle objections professionally and build rapport with prospects for our Cybersecurity clients. Maintain CRM hygiene and Customer reporting - Maintain CRM hygiene via
data accuracy
in CRM and other systems, - Organize lead data clearly and track progress, - Provide Customer reporting related to outreach efforts with our AI tools and adjust campaigns as per discussions & strategic realignment with customers to maximize impact and customer’s satisfaction. Success in this role means a) meeting or exceeding pipeline and quota goals and contributing to the overall success of the sales team by generating qualified discovery meetings for the customers’ Account Executives and b) in depth collaboration with our GTM engineer to analyse & identify critical paths, bottlenecks and to jointly invent new AI agentic workflows. Requirements: Fluent spoken and written English
– this is
non-negotiable
as cold calling is a key part of the role Minimum of 1+ years of strong experience in
sales outreach
&
lead generation . Proven ability to
make professional cold calls
and handle client conversations with confidence Familiarity with Cybersecurity & IT/Technology sales is mandatory. Familiarity with
email marketing tools
and basic campaign setup and sales tools such as HubSpot, LinkedIn Sales Navigator, etc. Excellent
organizational and time management skills Self-motivated, resourceful, and reliable
– able to work independently and hit deadlines CAREER PROGRESSION AND GROWTH PATH: We offer a clear career advancement path within 6-9 months, with opportunities to progress to senior sales or account management roles, such as Account Executive or SDR Manager / GTM Manager. We have a strong bias for ambitious candidates who are determined to learn, grow & ready to go the extra mile to invest in their own career growth. Professional Development and Support: We are committed to your continuous improvement and professional development. We offer ongoing coaching, call reviews, and enablement resources to help you succeed in your role & prepare you for promotion. Our training and mentorship programs are designed & delivered by experienced professionals from ex-Google, ex-Microsoft, ex-Oracle to support your growth and ensure you have the tools you need to excel. Equal Employment Opportunity:
AI Sales DR is an equal opportunity employer and welcomes applications from diverse candidates.
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Data Science
Posted 22 days ago
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Project Coordinator | Recruitment | Management | Content Creator | Video Editing | HR | PA Responsibilities- Strategic Collaboration with Data Science: Partner with data scientists to operationalize analytical models, transforming raw insights into production-ready data assets for game monetization and user retention strategies.
- Full-cycle Data Pipeline Engineering: Design and deploy scalable ETL/ELT pipelines leveraging PySpark/SQL to process 10M+ daily transactions across multi-dimensional datasets (e.g., player behavior, in-game economy). Ensure data integrity for modeling, KPI reporting, and regulatory compliance.
- Actionable Insights Visualization: Develop and maintain real-time Tableau dashboards integrating internal BI platforms. Translate complex metrics into strategic insights for stakeholders using frameworks like AARRR or LTV analysis.
- Onsite: KL, reachable by public transport (location note).
- Degree in Computer Science or related technical field
- 2+ years of working experience in data analysis/data warehouse/mart development and BI reporting
- Good understanding of Python, SQL, HiveQL/SparkSQL and the relevant best practices/techniques for performance tuning
- Working experience in building BI dashboards with Tableau and other BI tools
- Strong analytical and technical skills in building batch/streaming data pipelines for big data
- Proficiency in Mandarin (both written and spoken) to effectively communicate with non-English speaking counterparts based in China for gathering requirements and analysis.
- Experience deploying models in production and adjusting model thresholds to improve performance is a plus
- Strong interest or knowledge in gaming industry is a plus
- Seniority level: Associate
- Employment type: Contract
- Job function: Information Technology
- Industries: IT Services and IT Consulting
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#J-18808-LjbffrData Science
Posted 11 days ago
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Responsibilities
Strategic Collaboration with Data Science: Partner with data scientists to operationalize analytical models, transforming raw insights into production-ready data assets for game monetization and user retention strategies. Full-cycle Data Pipeline Engineering: Design and deploy scalable ETL/ELT pipelines leveraging PySpark/SQL to process 10M+ daily transactions across multi-dimensional datasets (e.g., player behavior, in-game economy). Ensure data integrity for modeling, KPI reporting, and regulatory compliance. Actionable Insights Visualization: Develop and maintain real-time Tableau dashboards integrating internal BI platforms. Translate complex metrics into strategic insights for stakeholders using frameworks like AARRR or LTV analysis. Onsite: KL, reachable by public transport (location note). Qualifications
Degree in Computer Science or related technical field 2+ years of working experience in data analysis/data warehouse/mart development and BI reporting Good understanding of Python, SQL, HiveQL/SparkSQL and the relevant best practices/techniques for performance tuning Working experience in building BI dashboards with Tableau and other BI tools Strong analytical and technical skills in building batch/streaming data pipelines for big data Proficiency in Mandarin (both written and spoken) to effectively communicate with non-English speaking counterparts based in China for gathering requirements and analysis. Experience deploying models in production and adjusting model thresholds to improve performance is a plus Strong interest or knowledge in gaming industry is a plus Employment details
Seniority level: Associate Employment type: Contract Job function: Information Technology Industries: IT Services and IT Consulting Referrals increase your chances of interviewing at iSoftStone by 2x. Get notified about new Data Science Specialist jobs in
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Data Science, Principal
Posted 4 days ago
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Overview
AIA Malaysia Kuala Lumpur, Federal Territory of Kuala Lumpur, Malaysia
This role is responsible for establishing and leading a high-performing analytics function that supports AIA’s strategic goals and business growth.
To get there, we need people with tech/digital/analytics expertise and passion to help develop positive, sustainable change through digitally enhanced experiences that will impact the lives of millions of people and create a healthier future for everyone.
Build a career with us as we help our customers and the community live Healthier, Longer, Better Lives.
Responsibilities- To create a Centre of Excellence for analytics solution strategy to enable AIA’s vision in helping more Malaysians live healthier, longer and better lives.
- To build, lead and inspire the data science team to deliver brilliant analytics work that drives business growth, customer experience, drive productivity and optimize efficiencies.
- To create valuable best practices that can be replicated in other markets.
- To develop best practice analytics solutions to support business decisions with measurable success to drive business growth and effectiveness.
- To create and manage the analytics workplan with the Insights team and business users to ensure delivery of brilliant analytics work that meets the business pace.
- To create the data science approach and roadmap to support the long-term and short-term business needs.
- To partner with the Insights team to ensure that the data science team delivers against the analytics workplan in a timely manner with brilliant quality work.
- To take a hands-on approach as the analytics technical expert, using large data sets and applying a variety of machine learning methodologies/algorithms and Generative/Cognitive AI (e.g. deep learning, NLP, image recognition, text recognition, chatbots, robotics, etc.) with different data tools to develop models, run simulations, and drive tangible business outcomes.
- To act as an analytics consultant for business stakeholders and a coach for team members, recommending and delivering creative analytics solutions for continuous improvement and solving business questions.
- To collaborate with potential partner(s)/vendor(s) or internal teams to develop efficient prototypes, assess AI solutions, provide feedback, identify areas for improvement, and finalize designs to automate or streamline operations within the Company.
- To apply MLOps and uphold high ethical standards when implementing machine learning models and AI solutions.
- To implement and manage a high standard of procedural documentation.
- To research and experiment with creative and advanced machine learning techniques and tools.
- To drive the collection of new data and the refinement of existing data sources.
- To possess strong stakeholder management and communication skills, with experience working with senior leadership teams and EXCO members.
- Bachelor’s or Master’s Degree in a relevant field of study is required.
- Minimum of 5 years of relevant working experience.
- Expertise in programming-based analytics, with experience in at least two languages: SQL (mandatory), R, Python, SAS.
- Proven experience in building statistical models, segmentation, predictive and propensity models (e.g. clustering, logistic regression, predictive models, conceptual modeling, hypothesis testing).
- Good understanding of machine learning algorithm design principles.
- Good understanding of machine learning model management practices.
- Ability to work in a fast-paced, multidisciplinary, and competitive environment.
- Strong analytical, problem-solving, deductive reasoning, and critical thinking skills.
- Ability to collaborate effectively with other teams to drive positive outcomes.
- Strong project management skills and ability to manage multiple priorities.
- Added advantage if the candidate has completed machine learning or data science courses on platforms such as Udacity or Coursera.
- Strong sense of urgency and accountability to drive business outcomes.
- Experience in developing Generative AI solutions and working with Large Language Models (LLMs) is a plus.
You must provide all requested information, including Personal Data, to be considered for this career opportunity. Failure to provide such information may influence the processing and outcome of your application. You are responsible for ensuring that the information you submit is accurate and up-to-date.
Seniority level- Mid-Senior level
- Full-time
- Education and Training
- Insurance
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Kuala Lumpur, Federal Territory of Kuala Lumpur, Malaysia
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#J-18808-LjbffrData Science Manager
Posted 6 days ago
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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.
About UsMoneyLion is America’s most powerful and rewarding financial membership, empowering people to take control of their finances to achieve their overall life goals. Since its launch in 2013, MoneyLion has amassed more than 4 million members and has earned its customers trust with new banking and investments capabilities that offer a one-of-a-kind rewards program, no-fee checking account, overdraft protection, and loans funded in 15 seconds or less.
About The RoleThe 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!
As a Data Science Manager in the Machine Learning Department, you will have the opportunity to lead a high-performing team responsible for developing the next generation of Moneylion’s machine learning algorithms behind MoneyLion’s data-driven products.
Key Responsibilities- Lead the technical direction and execution of the complete machine learning lifecycle, from research and development to validation, deployment, and post-production
- Envision and craft roadmap for machine learning projects towards well-defined success metrics
- Ensure the delivery of machine learning systems according to roadmap and with exceptional quality
- Provide thought leadership in ideating and innovating on cutting-edge techniques from literature to improve the performance of existing solutions
- Collaborate across company leadership and partner with stakeholders to drive adoption of machine learning models, identify and remove roadblocks while minimizing risk to the business and the team
- Define and drive best practices and model development policies to ensure the feasibility, generalizability, and stability of models while ensuring verbose documentation and diagrams are maintained
- Establish and define frameworks for ensuring robust development of machine learning codebase to enable maintainable and continuous improvements with measurable business impact
- Demonstrated experience in leading data science teams with strong focus on success metrics
- Experience owning, building, and validating machine learning systems in production
- Practical experience with deep learning, computer vision, and NLP projects
- Proficient with machine learning libraries and frameworks such as scikit-learn, XGBoost, LightGBM, TensorFlow, Keras
- Proficient in programming languages such as Python and SQL
- Strong understanding of data structures, data modeling and software architecture
- Deep knowledge of probability, statistics, distributions, and analysis methods
- Have strong product/business orientation
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)
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 MoneyLionAt MoneyLion, we want you to be well and thrive. Our generous benefits package includes:
- Competitive salary packages
- Comprehensive medical, dental, vision and life insurance benefits
- Wellness perks
- Paid parental leave
- Generous Paid Time Off
- Learning and Development resources
- Flexible working hours
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.
#J-18808-LjbffrData Science, Analyst
Posted 8 days ago
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Job Description
Overview
At AIA we’ve started an exciting movement to create a healthier, more sustainable future for everyone.
As pioneering innovators for over 100 years, we’re now transforming our organisation to be faster, simpler and more connected. Because we want to be even better equipped to develop digital solutions and experiences that help more people live Healthier, Longer, Better Lives.
To get there, we need people with tech/digital/analytics expertise and passion to help develop positive, sustainable change through digitally enhanced experiences that will impact the lives of millions of people and create a healthier future for everyone.
If you believe in developing a better tomorrow, read on.
About the Role
This role supports the development and execution of analytics strategies that align with AIA’s strategic goals and business growth.
• To support the Centre of Excellence for analytics solution strategy to enable AIA’s vision of promoting Healthier, Longer, Better Lives.
• To be part of the data science team to deliver analytical work that drives business growth, enhances customer experience, improves productivity, and optimizes efficiencies.
• To create valuable best practices that can be replicated in other markets.
• To produce best practice analytics solutions that support business decisions with measurable success, driving growth and effectiveness.
• To deliver the analytics workplan in collaboration with the Insights team and business users, ensuring timely and high-quality output that meets business needs.
Roles & Responsibilities- To be part of the data science team in delivering analytical work that supports business execution, contributing to business growth, enhancing customer experience, improving productivity, and optimizing efficiencies.
- To create valuable best practices that can be replicated across other markets.
- To produce best practice analytics solutions that support business decisions with measurable success, driving growth and effectiveness.
- To deliver the analytics workplan in collaboration with the Insights team and business users, ensuring high-quality output that aligns with business pace and priorities.
- Bachelor's Degree or Master's in any relevant field of study is required.
- Minimum 3 years of experience in data science or related fields.
- Expert in programming-based analytics, with experience in two or more languages such as SQL, R, or Python.
- Proven experience in building statistical models, segmentations, and predictive or propensity models, including clustering, neural networks, scenario analysis, conceptual modelling, and hypothesis testing.
- Good understanding of machine learning algorithm design principles and model management practices.
- Able to work effectively in a fast-paced, multidisciplinary, and competitive environment.
- Strong analytical skills, deductive reasoning, problem-solving, and critical thinking abilities.
- Able to collaborate with other teams to drive positive outcomes.
- Strong business acumen and project management skills, with the ability to manage multiple priorities.
- Added bonus if the candidate has experience with Big Data platforms (especially unstructured data) and deep learning.
- Strong sense of urgency and accountability to drive business outcomes.
Build a career with us as we help our customers and the community live Healthier, Longer, Better Lives.
You must provide all requested information, including Personal Data, to be considered for this career opportunity. Failure to provide such information may influence the processing and outcome of your application. You are responsible for ensuring that the information you submit is accurate and up-to-date.
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