CrawlJobs Logo

Lead Machine Learning Engineer

Singapore, Singapore · Job Posted January 12, 2026
Apply Position
Job Link Share

Job Description

Machine Learning Engineers specializing in Inference Optimization focus on maximizing the efficiency, speed, and cost-effectiveness of deploying AI models across diverse environments. They apply advanced optimization techniques to improve runtime inference and application performance. Their work ensures that clients can scale AI solutions sustainably, whether in the cloud, on-premises, or at the edge. As a Lead Machine Learning Engineer at Thoughtworks, you’ll combine deep technical capability with team leadership and architectural thinking. You’ll guide teams through complex optimization challenges, design scalable inference systems, and ensure AI solutions are not only high-performing but operationally sustainable. You’ll act as a bridge between hands-on engineering and strategic technical direction, mentoring others while shaping the standards and practices that define excellence in inference engineering.

Job Responsibility

  • Lead the design and implementation of advanced model optimization pipelines, including quantization, pruning, and distillation
  • Architect and tune inference runtimes and serving frameworks to achieve optimal performance across deployments
  • Guide teams in implementing high-throughput serving strategies (continuous batching, KV caching, speculative decoding, asynchronous scheduling)
  • Develop benchmarks and performance dashboards to measure and communicate system-level efficiency improvements (throughput, latency, GPU utilization, cost)
  • Evaluate trade-offs across accuracy, performance, and cost, and design architectures to meet target SLAs across varied hardware environments (cloud, on-prem, edge)
  • Collaborate with infrastructure, MLOps, and product teams to embed inference optimization into production workflows and platform designs
  • Provide technical leadership and mentorship to engineers, fostering a culture of experimentation, rigor, and continuous performance improvement
  • Contribute to the development of internal frameworks, reference architectures, and playbooks for scalable and cost-efficient inference
  • Engage with clients to translate optimization outcomes into business value and articulate the ROI of technical improvements

Requirements

  • Deep practical expertise in model and runtime optimization techniques (quantization, pruning, distillation, batching, caching)
  • Proven experience optimizing inference workloads using frameworks such as vLLM, NVIDIA Triton/Dynamo
  • Strong proficiency in deep learning frameworks (e.g. PyTorch, TensorFlow) with production deployment experience
  • Ability to diagnose and optimize performance using profiling tools (e.g. Nsight, PyTorch/TensorFlow profilers)
  • Solid understanding of GPU and accelerator architectures, and experience tuning workloads for cost and performance efficiency
  • Experience designing and benchmarking scalable inference systems across heterogeneous environments (GPU clusters, serverless, edge)
  • Familiarity with observability stacks, telemetry, and cost instrumentation for AI workloads
  • Demonstrated ability to lead small-to-medium engineering teams or technical workstreams
  • Skilled at balancing hands-on delivery with architectural oversight and mentorship
  • Strong communication and stakeholder engagement skills and are able to connect low-level optimizations with business impact
  • Comfortable in ambiguous and fast-evolving technology landscapes, with a passion for applied innovation
  • Commitment to continuous learning and knowledge sharing across teams and communities
  • Have a current right to work in Singapore i.e. Singapore Citizens and Singapore Permanent Residents only

What we offer

  • Learning & Development
  • Interactive tools
  • Numerous development programs
  • Teammates who want to help you grow
  • Empowering our employees in their career journeys

Looking for more opportunities?

Search for other job offers that match your skills and interests.

Similar Jobs for

Lead Machine Learning Engineer

8 matching positions

Senior AI and Machine Learning Engineer

We are seeking Senior AI/ML & Innovation Engineer who will be leading initiative...
Location
Location
United States , Aguadilla
Salary
Salary:
Not provided
https://www.hpe.com/ Logo
Hewlett Packard Enterprise
Expiration Date
Until further notice
Flip Icon
Requirements
Requirements
  • Bachelor's or master’s degree in computer science, engineering, data science, machine learning, artificial intelligence, or closely related quantitative discipline
  • Typically, 7-10 years’ experience
  • Deep understanding of machine learning algorithms, such as linear regression, decision trees, support vector machines, random forests, deep learning models (e.g., neural networks), and reinforcement learning
  • A strong foundation in mathematics and statistics
  • Proficiency in programming languages such as Python, R, or Java
  • Strong understanding of GitHub CoPilot, Cursor, N8N, vibe coding, Windsurf, and similar technologies
  • Experience in Cloud Infrastructure (AWS, Azure, etc)
  • Knowledge of Open Source, Linux, etc
  • Understanding of Devops, SRE
  • Advanced knowledge and experience in deep learning
Job Responsibility
Job Responsibility
  • Conducts research and stays up to date with the latest advancements in AI and machine learning technologies, frameworks, and algorithms
  • Collaborates with cross-functional teams to understand business requirements and design AI and machine learning solutions
  • Develops, implements, and optimizes machine learning models and algorithms
  • Deploys machine learning models into production environments
  • Monitors the performance of deployed models
  • Organizes and leads comprehensive design review sessions
  • Works collaboratively with the engineering manager and team lead to set design and implementation standards
  • Regularly leads meetings
  • Has experience in providing technical leadership, mentorship, and guidance to junior team members
  • Develops and delivers strategic presentations and reports to senior stakeholders
What we offer
What we offer
  • Health & Wellbeing
  • Personal & Professional Development
  • Unconditional Inclusion
  • Fulltime
Read More
Arrow Right

AI and Machine Learning Engineer

AI and Machine Learning Engineer role at Hewlett Packard Enterprise, responsible...
Location
Location
India , Bangalore
Salary
Salary:
Not provided
https://www.hpe.com/ Logo
Hewlett Packard Enterprise
Expiration Date
Until further notice
Flip Icon
Requirements
Requirements
  • Bachelor's degree in computer science, engineering, data science, machine learning, artificial intelligence, or closely related quantitative discipline
  • Master's degree is desirable
  • Typically 5-7 years' experience
  • Deep understanding of machine learning algorithms (linear regression, decision trees, support vector machines, random forests, deep learning models, reinforcement learning)
  • Strong foundation in mathematics and statistics (linear algebra, calculus, probability theory)
  • Proficiency in programming languages such as Python, R, or Java
  • Experience with version control systems (e.g., Git)
  • Knowledge of libraries and frameworks like TensorFlow, PyTorch, sci-kit, Keras
  • Proficiency in using agentic frameworks like langGraph
  • Knowledgeable in lineage tracking of agentic architectures
Job Responsibility
Job Responsibility
  • Conduct advanced research in AI and machine learning
  • Stay up to date with latest advancements in the field
  • Explore emerging technologies
  • Identify opportunities to apply cutting-edge techniques
  • Evaluate traditional AI/ML and Gen-AI based applications
  • Design solutions considering scalability, performance, and maintainability
  • Provide technical guidance and mentorship to junior team members
  • Work with stakeholders to understand requirements and translate into technical solutions
  • Collaborate with cross-functional teams
  • Drive continuous improvement and innovation
What we offer
What we offer
  • Health & Wellbeing benefits
  • Personal & Professional Development programs
  • Unconditional Inclusion environment
  • Comprehensive benefits suite supporting physical, financial and emotional wellbeing
  • Career development programs
  • Fulltime
Read More
Arrow Right

Senior Machine Learning Engineer

As Babylist’s Senior Machine Learning Engineer, you’ll be the founding expert dr...
Location
Location
United States; Canada
Salary
Salary:
189900.00 - 237400.00 USD / Year
babylist.com Logo
Babylist
Expiration Date
Until further notice
Flip Icon
Requirements
Requirements
  • 6+ years of experience delivering end to end solutions that drive business growth
  • Deep expertise in the Python ML ecosystem (pandas, sklearn, xgboost, PyTorch)
  • Strong expertise creating custom embeddings from raw data sources
  • Experience going beyond off-the-shelf image/text embeddings to develop domain-specific representations for ML models
  • Proven track record building and delivering production-grade ML solutions, especially recommender systems or personalization features
  • Experience with the entire ML lifecycle, including workflow orchestration (Airflow) and model monitoring
  • Strong communication skills with technical and non-technical stakeholders
  • Background in consumer-facing products preferred
  • Expertise with e-commerce, dating apps, or complex user journey platforms is highly relevant
  • Demonstrate autonomy: able to define problem space, architect solutions from scratch (zero to one), and operate with ownership
Job Responsibility
Job Responsibility
  • Pioneer ML at Babylist: shape the roadmap, practices, and culture for machine learning and personalization at scale
  • Own high-impact work end-to-end: build and launch high-leverage personalization features from the ground up
  • Lead both technically and strategically: be the technical pioneer and strategic leader for ML at Babylist
  • Collaborate across a strong data organization: partner with data scientists, data engineers, and analytics engineers
What we offer
What we offer
  • Competitive salary with equity and bonus opportunities
  • Company-paid medical, dental, and vision insurance
  • Retirement savings plan with company matching and flexible spending accounts
  • Generous paid parental leave and PTO
  • Remote work stipend to set up your office
  • Perks for physical, mental, and emotional health, parenting, childcare, and financial planning
  • Fulltime
Read More
Arrow Right

Senior Staff Machine Learning Engineer (AI Agent)

At Cresta, the AI Agent team is on a mission to create state-of-the-art AI Agent...
Location
Location
United States; Canada
Salary
Salary:
Not provided
cresta.com Logo
Cresta
Expiration Date
Until further notice
Flip Icon
Requirements
Requirements
  • Bachelor’s Degree in Computer Science, Mathematics, or a related field
  • Master’s or Ph.D. preferred, or equivalent professional experience
  • 7+ years of hands-on industry experience with AI and machine learning
  • 3+ years of experience working with LLMs in large-scale production environments
  • Expert knowledge of machine learning concepts and methods, especially those related to NLP, Generative AI, and working with LLMs
  • Proven leadership in designing and deploying AI solutions at scale
  • Extensive practical knowledge of modern machine learning frameworks and technologies (e.g., PyTorch, Tensorflow, Hugging Face, NumPy)
  • Experience with distributed systems and cloud-based AI infrastructure
  • Strong problem-solving and strategic thinking abilities
  • Proven ability to lead cross-functional teams and work collaboratively to deliver innovative AI solutions in production
Job Responsibility
Job Responsibility
  • Design, develop, and deploy Cresta’s AI Agent solutions and proprietary models
  • Focus on practical AI challenges such as improving reasoning, planning capabilities, and evaluation in real-world scenarios
  • Collaborate with cross-functional teams including front-end and back-end software engineers to integrate AI Agents into Cresta’s customer solutions
  • Lead initiatives to scale AI systems for production environments, ensuring performance and reliability across use cases
  • Contribute to solving cutting-edge problems in AI and help define the future roadmap for Cresta’s AI Agents
  • Innovate and research ways to improve security, cost-efficiency, and reliability of AI systems
What we offer
What we offer
  • Variety of medical, dental, and vision plans
  • Paid parental leave
  • Monthly Health & Wellness allowance
  • Work from home office stipend
  • Lunch reimbursement for in-office employees
  • PTO: 3 weeks in Canada
  • Base salary, equity, and a variety of benefits
  • Fulltime
Read More
Arrow Right

Machine Learning Engineering Intern

At Cresta, the Knowledge Assist (KA) team develops AI solutions for the contact ...
Location
Location
Canada , Toronto
Salary
Salary:
45.00 - 70.00 USD / Hour
cresta.com Logo
Cresta
Expiration Date
Until further notice
Flip Icon
Requirements
Requirements
  • Currently pursuing a Bachelor's or Master's degree in Computer Science, Artificial Intelligence, Machine Learning, or a related technical field
  • Proficiency in Python and familiarity with at least one deep learning framework (e.g., PyTorch, TensorFlow)
  • Strong understanding of machine learning fundamentals and generative modeling
  • Ability to design and analyze experiments involving large-scale datasets
  • Work authorization in the country of employment at the time of hire
Job Responsibility
Job Responsibility
  • Design, develop, and deploy Cresta’s KA solutions and proprietary models
  • Focus on practical AI challenges such as improving reasoning, and evaluation in real-world scenarios
  • Collaborate with cross-functional teams including front-end and back-end software engineers to integrate KA solutions into Cresta’s customer solutions
  • Lead initiatives to scale AI systems for production environments, ensuring performance and reliability across use cases
  • Contribute to solving cutting-edge problems in AI and help define the future roadmap for Cresta’s KA
  • Innovate and research ways to improve security, cost-efficiency, and reliability of AI systems
What we offer
What we offer
  • Lunch can be expensed (up to $25) while working in the office
  • PTO: 4 days
  • Compensation for this position includes a base salary, equity, and a variety of benefits
Read More
Arrow Right

Senior Applied Machine Learning Engineer

Machine learning is integral to every financial service we provide. As we embark...
Location
Location
United States , Mountain View
Salary
Salary:
232200.00 - 283800.00 USD / Year
earnin.com Logo
EarnIn
Expiration Date
Until further notice
Flip Icon
Requirements
Requirements
  • Bachelor’s/Master’s in Computer Science, Engineering, or equivalent industry experience
  • 4+ years of machine learning experience with strong software engineering skills
  • Proficiency in ML techniques (LLMs, deep learning, sequence, and tree-based models)
  • Advanced Python programming, SQL, and data manipulation skills
  • Experience with ML frameworks (TensorFlow, PyTorch) and cloud platforms (AWS Sagemaker, Databricks, GCP Vertex AI)
  • Excellent communication and collaboration abilities
  • A passion for continuous learning and personal growth in a dynamic work environment
Job Responsibility
Job Responsibility
  • Design, develop, A/B test, and deploy models while collaborating with data scientists to drive data-driven decisions
  • Enhance models by incorporating innovative features every quarter and leveraging the latest industry research
  • Monitor feature and model health, and communicate changes in model decisions
  • Explore and integrate advanced technologies, including deep learning and LLMs, in the risk domain
  • Lead by example to foster operational excellence and transformative change
  • Expand responsibilities as new products emerge
What we offer
What we offer
  • equity and benefits
  • Fulltime
Read More
Arrow Right

Senior Machine Learning Engineer

As a Fintech company where Machine Learning (ML) is a key feature, our operation...
Location
Location
India , Bengaluru
Salary
Salary:
Not provided
earnin.com Logo
EarnIn
Expiration Date
Until further notice
Flip Icon
Requirements
Requirements
  • MS degree or PhD degree in Computer Science or a related technical field
  • 4+ years of experience in ML engineering
  • Strong programming skills in Python and data engineering skills
  • Extensive knowledge of machine learning algorithms
  • Hands-on experience on architectural patterns for large-scale software applications
  • Industry experience building and productionizing machine learning systems
  • Strong oral and written communication skills
Job Responsibility
Job Responsibility
  • Design, build, and launch efficient and reliable machine learning (ML) models to drive business impact
  • Train and validate state-of-the-art multi-modal, multi-task deep learning models as well as statistical models, considering use-case, complexity, performance, and robustness
  • Demonstrate end-to-end understanding of applications and develop a deep understanding of the “why” behind our models & systems
  • Partner with product managers, tech leads, and stakeholders to analyze business problems, clarify requirements, and define the scope of the systems needed
  • Work closely with data platform teams to enable robust, scalable batch and real-time data pipelines
  • Drive high ML and engineering standards on the team through mentoring and knowledge sharing. Drive engineering best practices around code reviews, automated testing and monitoring
What we offer
What we offer
  • healthcare
  • internet/cell phone reimbursement
  • a learning and development stipend
  • opportunities to collaborate with and travel to our Palo Alto HQ and Bangkok Site
Read More
Arrow Right

Senior Machine Learning Engineer

As a Fintech company where Machine Learning (ML) is one of the key features, our...
Location
Location
India , Bengaluru
Salary
Salary:
Not provided
earnin.com Logo
EarnIn
Expiration Date
Until further notice
Flip Icon
Requirements
Requirements
  • MS degree or PhD degree in Computer Science or a related technical field
  • 4+ years of experience in ML engineering
  • Strong programming skill in Python and data engineering skills
  • Extensive knowledge of machine learning algorithms
  • Hands-on experience on architectural patterns for large-scale software applications
  • Industry experience building and productionizing machine learning systems
  • Strong oral and written communication skills
Job Responsibility
Job Responsibility
  • Design, build, and launch efficient and reliable machine learning (ML) models to drive business impact
  • Train and validate state-of-the-art multi-modal, multi-task deep learning models as well as statistical models considering use-case, complexity, performance, and robustness
  • Demonstrate end-to-end understanding of applications and develop a deep understanding of the “why” behind our models & systems
  • Partner with product managers, tech leads, and stakeholders to analyze business problems, clarify requirements, and define the scope of the systems needed
  • Work closely with data platform teams to enable robust, scalable batch and real-time data pipelines
  • Drive high ML and engineering standards on the team through mentoring and knowledge sharing. Drive engineering best practices around code reviews, automated testing and monitoring
What we offer
What we offer
  • healthcare
  • internet/cell phone reimbursement
  • a learning and development stipend
  • opportunities to collaborate with and travel to our Palo Alto HQ and Bangkok Site
Read More
Arrow Right