378 Feature Engineering jobs in Malaysia
Data Analysis
Posted 10 days ago
Job Viewed
Job Description
Overview
LexisNexis Federal Territory of Kuala Lumpur, Malaysia
Data Analyst III role consults with internal stakeholders to understand problems, collect and analyze data to support data driven business decisions. This role uses data tools to collate, model, interpret, develop visualizations/information products, and communicate to the business. Specifically, individuals in this role will execute on projects/initiatives with high complexity independently. The role will be on shift hour ideally from 3PM to 12AM.
Responsibilities- Solid understanding of best practices
- Executes on projects and initiatives independently
- Provides support to the analytics team members
- Begins to lead analytics effort with high complexity
- Partners with stakeholders to understand their business needs and to make suggestions for analysis and metrics to drive insights and recommendations
- Understands who the customers are and what is happening in the market with necessary commercial awareness
- Creates visual displays of data through selected tools and analytical packages
- Effectively lead and manage small/operational analytics projects
- Bachelors or Master Degree in Data Analytics/Data Science/Math or equivalent work experience
- Ability to understand complex data structure and to apply advanced blending and refinement techniques including big data and knows how to apply advanced data preparation and refinement techniques
- Experience with different visualizations tools such as Tableau or PowerBI
- Experience in intermediate statistics
- Basic knowledge of big data platforms
- Ability to present complex issues in simple and sophisticated insights
- Ability to combine visualizations from multiple sources to tell an effective and engaging story
- Knowledge of different project management approaches and lifecycles
We promote a healthy work/life balance across the organisation. We offer an appealing working prospect for our people. With numerous wellbeing initiatives, shared parental leave, study assistance and sabbaticals, we will help you meet your immediate responsibilities and your long-term goals.
- Working flexible hours - flexing the times when you work in the day to help you fit everything in and work when you are the most productive
We know that your wellbeing and happiness are key to a long and successful career. These are some of the benefits we are delighted to offer:
- Medical Inpatient and Outpatient Insurance: Coverage for your healthcare needs.
- Life Assurance Policies: Providing financial security for your loved ones.
- Long Service Award: Recognition for your dedication and loyalty
- Access to Learning and Development Resources: Empowering your professional growth.
LexisNexis Legal & Professional provides legal, regulatory, and business information and analytics that help customers increase their productivity, improve decision-making, achieve better outcomes, and advance the rule of law around the world. As a digital pioneer, the company was the first to bring legal and business information online with its Lexis and Nexis services.
#J-18808-LjbffrData Analysis
Posted 10 days ago
Job Viewed
Job Description
LexisNexis Federal Territory of Kuala Lumpur, Malaysia Data Analyst III role consults with internal stakeholders to understand problems, collect and analyze data to support data driven business decisions. This role uses data tools to collate, model, interpret, develop visualizations/information products, and communicate to the business. Specifically, individuals in this role will execute on projects/initiatives with high complexity independently. The role will be on shift hour ideally from 3PM to 12AM. Responsibilities
Solid understanding of best practices Executes on projects and initiatives independently Provides support to the analytics team members Begins to lead analytics effort with high complexity Partners with stakeholders to understand their business needs and to make suggestions for analysis and metrics to drive insights and recommendations Understands who the customers are and what is happening in the market with necessary commercial awareness Creates visual displays of data through selected tools and analytical packages Effectively lead and manage small/operational analytics projects Qualifications
Bachelors or Master Degree in Data Analytics/Data Science/Math or equivalent work experience Ability to understand complex data structure and to apply advanced blending and refinement techniques including big data and knows how to apply advanced data preparation and refinement techniques Experience with different visualizations tools such as Tableau or PowerBI Experience in intermediate statistics Basic knowledge of big data platforms Ability to present complex issues in simple and sophisticated insights Ability to combine visualizations from multiple sources to tell an effective and engaging story Knowledge of different project management approaches and lifecycles Work in a way that works for you
We promote a healthy work/life balance across the organisation. We offer an appealing working prospect for our people. With numerous wellbeing initiatives, shared parental leave, study assistance and sabbaticals, we will help you meet your immediate responsibilities and your long-term goals. Working flexible hours - flexing the times when you work in the day to help you fit everything in and work when you are the most productive Working for you
We know that your wellbeing and happiness are key to a long and successful career. These are some of the benefits we are delighted to offer: Medical Inpatient and Outpatient Insurance: Coverage for your healthcare needs. Life Assurance Policies: Providing financial security for your loved ones. Long Service Award: Recognition for your dedication and loyalty Access to Learning and Development Resources: Empowering your professional growth. About the Business
LexisNexis Legal & Professional provides legal, regulatory, and business information and analytics that help customers increase their productivity, improve decision-making, achieve better outcomes, and advance the rule of law around the world. As a digital pioneer, the company was the first to bring legal and business information online with its Lexis and Nexis services.
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IT Business Analyst (Data Analysis)
Posted 2 days ago
Job Viewed
Job Description
Whats the role?
You will be a part of one of our biggest programs called “Systematic Account Development” which is fully embedded into the new company strategy and a truly global initiative focusing on superior Customer Relationship Management. Your focus will be on Salesforce Sales Cloud, Power BI & CRM analytics, whose goal is to provide cutting-edge processes and features to support our internal sales teams. With innovative and user-centric features embedded into our Salesforce CRM tool, our sales teams are able to help our customers realize the full potential of our Hilti products on the job sites.
What does the role involve?As a Business Analyst, your role is to understand business requirements, design solution proposals and implement as well as support them in the respective systems. You will be part of an international scrum team, leveraging agile methods while creating strong impact to our customers. Systematic Account Development is an essential part of how we manage our sales processes and enable customers to benefit fully from Hilti products. The team is taking care of implementing and maintaining solutions in Salesforce that gives all stakeholders full transparency about sales opportunities. While your primary technology focus will be on Salesforce Sales Cloud, you will get in touch with other technologies supporting those processes such as SAP S4 HANA, Salesforce Service Cloud, Microsoft, Microservices on AWS and others. Designs, builds, and implements CRMA dashboards, dataflows, and data integrations.
What you need is:- At least Bachelor’s degree in computer science, software engineering, information technology or related fields.
- Minimum 3 years of experience in Data Analysis & Visualization – Ability to query, interpret & analyze data to generate meaningful insights and eloquently communicate findings to stakeholders.
- Dealing with cloud software business process management and agile methods.
- Strong communication skills with excellent English and interpersonal skills to manage change and perform in a global matrix environment and demonstrated ability in stakeholder management.
- Strong willingness and ability to learn.
- Passion for digital sales and service processes covering business requirements, solution designing, and hands-on implementation, paired with an interest in CRM software (ideally Salesforce area).
- Analytical mindset with strong problem-solving skills and the ability to work independently.
- Data Analysis & Visualization – Ability to query, interpret & analyze data to generate meaningful insights and eloquently communicate findings to stakeholders
- Business acumen - Understand CRM principles and practice, business processes to align analytics with organizational goals
At Hilti, were leading the digital transformation in the construction industry. With our innovative technologies, were pushing the boundaries of what's possible—whether it's through advanced software development, data-driven solutions, or state-of-the-art IT infrastructure. By joining our team, youll be part of a dynamic environment where technology meets real-world impact, enabling smarter, more efficient, and safer construction processes worldwide.
We offer:
- Cutting-edge projects that utilize the latest in AI, cloud computing, and advanced analytics.
- A chance to work with global teams on solutions that are shaping the future of construction.
- Continuous learning and development opportunities to grow your skills in the rapidly evolving tech landscape.
If youre passionate about technology and ready to make an impact in an industry thats critical to shaping the world around us, Hilti Asia IT Services is the place for you!
What do we offer?At Hilti, we believe in a caring and performance-oriented culture. Our people are our greatest strength, and our Great Place to Work 2024 recognition celebrates our commitment to a culture that values care, performance, and innovation. We offer competitive rewards and comprehensive career development opportunities that ensure your success is our priority. Kuala Lumpur | Hilti Careers
#J-18808-LjbffrManager, Data Analysis (Malaysia , India)
Posted 2 days ago
Job Viewed
Job Description
Overview
Manager, Data Analysis (Malaysia, India)
Responsible for managing data analysis controls and operational risk processes related to the Client List Derivation. Focus on executing and updating controls, conducting root cause analysis, and communicating findings to stakeholders.
Responsibilities- Execute and update the Key Control Indicator (KCI) / Control Sample Testing (CST) for the Client List Derivation process to minimise potential failures arising from operational risk events; perform root cause analysis on issues identified and communicate to the relevant process owners.
- Assist in designing and updating KCIs / CSTs to ensure potential failure points are adequately mitigated.
- Coordinate, drive, and direct effective operational risk management for the automated Client List Derivation process.
- Perform root cause analysis on issues and ensure timely communication to the respective process owner.
- Implement and monitor KCI / CST processes, sampling, testing, and recording of related activities; monitor Key Risk Indicators (KRIs).
- Enhance automated KCIs to remain effective and aligned with framework requirements; maintain proper records of KCI / CST activities.
- Identify, assess, mitigate, report, and escalate operational risk exposures; support the team in minimizing risk-related failures and investigate material issues to prevent recurrence.
- Identify new potential failure points and implement appropriate controls; coordinate exceptions and track risk issue resolutions.
- Identify weaknesses in control standards and ensure effectiveness of controls; assist with internal/external audits and provide timely information to stakeholders.
- Prepare risk-related metrics including trend analysis and dashboards.
- 7+ years of banking/financial services experience
- University degree (preferred)
- Strong understanding of operational risk management within a banking environment
- Excellent analytical and problem-solving skills
- Strong background in customer due diligence (CDD) policies and procedures
- Team player with excellent communication, interpersonal and stakeholder management skills
- Practical, pragmatic, and capable of challenging the status quo
- Ability to work in a fast-paced environment and operate independently
- Advanced Excel skills and ability to automate functions
- Good English writing skills
- Action Oriented
- Collaborates
- Customer Focus
- Gives Clarity & Guidance
- Manages Ambiguity
- Develops Talent
- Drives Vision & Purpose
- Nimble Learning
- Decision Quality
- Courage
- Instills Trust
- Strategic Mindset
- Technical Competencies: role-specific technical skills
We’re an international bank, committed to responsible growth and making a positive difference for clients and communities. We value diversity and inclusion and seek individuals who bring unique talents to our teams.
What We Offer- Competitive salary and benefits in line with our Fair Pay Charter
- Retirement savings, medical and life insurance with flexible benefits
- Generous time-off (annual leave, parental leave, sabbatical, volunteering leave) plus global public holidays
- Flexible working options based on location and role
- Wellbeing support, development courses, and Employee Assistance Programmes
- Learning culture with opportunities to reskill and upskill
- Inclusive, values-driven environment
- Mid-Senior level
- Full-time
- Information Technology
- Industries: Banking
Associate, Integrated Operations (Data Analysis)
Posted 12 days ago
Job Viewed
Job Description
Associate, Integrated Operations (Data Analysis) — Lazada, Kuala Lumpur, Malaysia
The Integrated Operations Team is responsible for the strategic planning, execution, and continuous improvement of our core seller programs. Additionally, the team holds ownership of the commercial team’s quarterly target setting and performance management processes, while also administering incentive computations for the commercial team. Furthermore, the team operates the Commercial Academy—a dedicated initiative that designs and deploys soft- and hard-skill training programs to enhance workforce capabilities.
Responsibilities- Analyze and enhance business strategies using data, optimizing resources across various teams, like sales operations, seller programmes.
- Lead our commercial target-setting process to guide business growth effectively, Create and maintain dashboards to keep track of key performance indicators.
- Work with Business Intelligence and Data Product teams to ensure our data is accurate and actionable for key stakeholders.
- Spot trends and opportunities in seller program design for improvements and maintain strong governance of financial viability.
- Monitor seller performance and provide insights to refine seller programs and optimise KAM incentive distributions according the efficient seller target setting process.
- Conduct targeted analyses to solve unique business challenges, offering data-driven solutions. Provide strategic insights to leadership on sales operations, including incentives and profitability models.
- Collaborate with Seller Engagement and Sales Operations teams to manage seller communications and inquiries.
- Bachelor’s Degree in Business Management or related field.
- At least 3-4 years of experience in Data Analytics, Business Intelligence, or commercial operations (e-commerce, consulting, or retail).
- Strong communication and interpersonal skills; you thrive in teamwork settings.
- Quick learner who adapts well to changing environments and priorities.
- Solid analytical abilities, especially with Excel; familiarity with data tools such as SQL is a plus but not mandatory.
- Organized, detail-oriented, and self-motivated. Project management experience is a bonus.
- Associate
- Full-time
- Analyst, General Business, and Strategy/Planning
- Internet Marketplace Platforms and Consumer Services
IT Business Analyst (Data Analysis)
Posted 1 day ago
Job Viewed
Job Description
You will be a part of one of our biggest programs called “Systematic Account Development” which is fully embedded into the new company strategy and a truly global initiative focusing on superior Customer Relationship Management. Your focus will be on Salesforce Sales Cloud, Power BI & CRM analytics, whose goal is to provide cutting-edge processes and features to support our internal sales teams. With innovative and user-centric features embedded into our Salesforce CRM tool, our sales teams are able to help our customers realize the full potential of our Hilti products on the job sites. What does the role involve?
As a Business Analyst, your role is to understand business requirements, design solution proposals and implement as well as support them in the respective systems. You will be part of an international scrum team, leveraging agile methods while creating strong impact to our customers. Systematic Account Development is an essential part of how we manage our sales processes and enable customers to benefit fully from Hilti products. The team is taking care of implementing and maintaining solutions in Salesforce that gives all stakeholders full transparency about sales opportunities. While your primary technology focus will be on Salesforce Sales Cloud, you will get in touch with other technologies supporting those processes such as SAP S4 HANA, Salesforce Service Cloud, Microsoft, Microservices on AWS and others. Designs, builds, and implements CRMA dashboards, dataflows, and data integrations. What you need is:
At least Bachelor’s degree in computer science, software engineering, information technology or related fields. Minimum 3 years of experience in Data Analysis & Visualization – Ability to query, interpret & analyze data to generate meaningful insights and eloquently communicate findings to stakeholders. Dealing with cloud software business process management and agile methods. Strong communication skills with excellent English and interpersonal skills to manage change and perform in a global matrix environment and demonstrated ability in stakeholder management. Strong willingness and ability to learn. Passion for digital sales and service processes covering business requirements, solution designing, and hands-on implementation, paired with an interest in CRM software (ideally Salesforce area). Analytical mindset with strong problem-solving skills and the ability to work independently. Data Analysis & Visualization – Ability to query, interpret & analyze data to generate meaningful insights and eloquently communicate findings to stakeholders Business acumen - Understand CRM principles and practice, business processes to align analytics with organizational goals Why should you apply?
At Hilti, were leading the digital transformation in the construction industry. With our innovative technologies, were pushing the boundaries of what's possible—whether it's through advanced software development, data-driven solutions, or state-of-the-art IT infrastructure. By joining our team, youll be part of a dynamic environment where technology meets real-world impact, enabling smarter, more efficient, and safer construction processes worldwide. We offer: Cutting-edge projects that utilize the latest in AI, cloud computing, and advanced analytics. A chance to work with global teams on solutions that are shaping the future of construction. Continuous learning and development opportunities to grow your skills in the rapidly evolving tech landscape. If youre passionate about technology and ready to make an impact in an industry thats critical to shaping the world around us, Hilti Asia IT Services is the place for you! What do we offer?
At Hilti, we believe in a caring and performance-oriented culture. Our people are our greatest strength, and our Great Place to Work 2024 recognition celebrates our commitment to a culture that values care, performance, and innovation. We offer competitive rewards and comprehensive career development opportunities that ensure your success is our priority. Kuala Lumpur | Hilti Careers
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Manager, Data Analysis (Malaysia , India)
Posted 1 day ago
Job Viewed
Job Description
Manager, Data Analysis (Malaysia, India) Responsible for managing data analysis controls and operational risk processes related to the Client List Derivation. Focus on executing and updating controls, conducting root cause analysis, and communicating findings to stakeholders. Responsibilities
Execute and update the Key Control Indicator (KCI) / Control Sample Testing (CST) for the Client List Derivation process to minimise potential failures arising from operational risk events; perform root cause analysis on issues identified and communicate to the relevant process owners. Assist in designing and updating KCIs / CSTs to ensure potential failure points are adequately mitigated. Coordinate, drive, and direct effective operational risk management for the automated Client List Derivation process. Perform root cause analysis on issues and ensure timely communication to the respective process owner. Implement and monitor KCI / CST processes, sampling, testing, and recording of related activities; monitor Key Risk Indicators (KRIs). Enhance automated KCIs to remain effective and aligned with framework requirements; maintain proper records of KCI / CST activities. Identify, assess, mitigate, report, and escalate operational risk exposures; support the team in minimizing risk-related failures and investigate material issues to prevent recurrence. Identify new potential failure points and implement appropriate controls; coordinate exceptions and track risk issue resolutions. Identify weaknesses in control standards and ensure effectiveness of controls; assist with internal/external audits and provide timely information to stakeholders. Prepare risk-related metrics including trend analysis and dashboards. Ideal Candidate / Qualifications
7+ years of banking/financial services experience University degree (preferred) Strong understanding of operational risk management within a banking environment Excellent analytical and problem-solving skills Strong background in customer due diligence (CDD) policies and procedures Team player with excellent communication, interpersonal and stakeholder management skills Practical, pragmatic, and capable of challenging the status quo Ability to work in a fast-paced environment and operate independently Advanced Excel skills and ability to automate functions Good English writing skills Competencies
Action Oriented Collaborates Customer Focus Gives Clarity & Guidance Manages Ambiguity Develops Talent Drives Vision & Purpose Nimble Learning Decision Quality Courage Instills Trust Strategic Mindset Technical Competencies: role-specific technical skills About Standard Chartered
We’re an international bank, committed to responsible growth and making a positive difference for clients and communities. We value diversity and inclusion and seek individuals who bring unique talents to our teams. What We Offer
Competitive salary and benefits in line with our Fair Pay Charter Retirement savings, medical and life insurance with flexible benefits Generous time-off (annual leave, parental leave, sabbatical, volunteering leave) plus global public holidays Flexible working options based on location and role Wellbeing support, development courses, and Employee Assistance Programmes Learning culture with opportunities to reskill and upskill Inclusive, values-driven environment Seniority level
Mid-Senior level Employment type
Full-time Job function
Information Technology Industries: Banking
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Machine Learning Engineer
Posted 2 days ago
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Job Description
Overview
Senior Consultant - TCMG at HTC Global Services
Responsibilities- Python Programming – for AI/ML model development and data processing.
- Real-Time Task Scheduling & Monitoring – for AGV job assignment and fleet coordination.
- Work Order (WO) Optimization – for intelligent routing and task prioritization.
- Predictive Maintenance Modeling – using historical data and sensor logs.
- Issue Tracking Algorithms – for anomaly detection and resolution.
- Log Analysis & Feature Extraction – for training models and system diagnostics.
- TensorFlow / PyTorch – for deep learning applications.
- Scikit-learn / XGBoost – for classical ML approaches.
- Time Series Forecasting – for maintenance and usage prediction.
- Data Pipeline Tools (e.g., Airflow, Kafka) – for scalable data ingestion and processing.
- Experience with AGV or MES systems – for domain-specific insights.
- Associate
- Contract
- Information Technology
- IT Services and IT Consulting
Machine Learning Engineer
Posted 2 days ago
Job Viewed
Job Description
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, is 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 optimise 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 analyse data to select appropriate datasets for data modelling 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 modelling improvements
- Automate, architect and orchestrate machine learning processes and pipelines
- Monitor, optimise 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
- 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 modelling
- 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
- 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 ValueWe valuegrowth-minded andcollaborative people with highlearning agility who embody our core values ofteamwork, customer-first andinnovation . Every member of the MoneyLion Team is passionate about fintech and ready to give 100% in helping us achieve our mission.
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.
Working at MoneylionAt MoneyLion, we want you to be well and thrive. Our generous benefits package includes:
- Competitive salary packages and bonuses
Machine Learning Engineer
Posted 4 days ago
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Job Description
On our Perception team , you have the opportunity to work with world-class ML engineers and research scientists, whose mission is to make self-driving vehicles a reality and to create a positive social impact. Our team works on the tech stack responsible for perceiving the dynamic scenarios, and further tracking and classifying objects around our robo-taxi. We are looking for engineers who are passionate about Level 4 autonomous driving technology, excited by intellectual challenges, and interested in pursuing career growth with a fast-growing company.
What you’ll be doing:
- Participate in the full machine learning development cycle, including data preprocessing, model training, evaluation, and deployment.
- Productionize and deploy our large perception model on edge devices with optimization techniques in mind (e.g. pruning, quantization)
- Optimize training with large data and distributed machines
- Collaborate with cross-functional teams to implement scalable solutions and improvements
- Troubleshoot, debug, and optimize machine learning workflows for efficiency and performance.
What We’re Looking for:
- Bachelor’s Degree. Masters or Ph.D. in Machine Learning, Computer Science, Robotics, Applied Mathematics, Statistics, Physics or a related field; or equivalent industry experience
- 1+ years of experience with deep learning frameworks such as Pytorch
- Strong programming skills in C++, TensorRT, and/or CUDA programming
- Fluency in Python, including standard scientific computing libraries and Python bindings development experience
- Proven track record of developing and deploying perception systems for autonomous vehicles or robotics
- Advanced knowledge of software engineering principles including software design, source control management, build processes, code reviews, testing methods
Bonus Points:
- Experience with embedded systems and real-time optimization, especially in the autonomous driving industry