Software Engineer (ML/AI) Job at Shield (Singapore)

Principal ML/AI Software Engineer

We are looking for a Principal Engineer experienced in the ML/AI domain to drive...

Location

Turkey

Salary:

Not provided

Atlassian

Expiration Date

Until further notice

Requirements

7+ years of experience in Machine Learning engineering, including hands-on work with training/inference pipelines, prompt engineering, and ML systems, demonstrating deep expertise in applied ML
Proven track record of tech-leading AI/ML products from conception to launch
Strong platform mindset - experience building reusable tools/infras to accelerate AI development
Strong programming skills in any OOO programming language - we’re open to candidates from different tech backgrounds
Excellent communication and collaboration skills

Job Responsibility

Define the technical vision and roadmap for AI Foundation and NextGen
End-to-end ownership - from prototyping and development to production
Hands-on work in prompt engineering, model iteration, and training/inference systems
Collaborate with Product, Engineering, Data Science, and UX to align on priorities and deliver measurable impact
Facilitate product and technical decisions, ensuring alignment with business goals
Drive platformization of AI/ML systems to improve scalability, reliability, and adoption across teams
Partner with customer teams to understand needs, build relationships, and expand the scope of AI adoption
Explore and apply state-of-the-art AI/ML techniques to solve novel product challenges
Evaluate in-house model development vs. third-party APIs for ML/AI solutions
Establish best practices for AI development, quality measurement, monitoring, and scalability

What we offer

Health and wellbeing resources
Paid volunteer days

Senior Software Engineer - ML Infrastructure

We build simple yet innovative consumer products and developer APIs that shape h...

Location

United States , San Francisco

Salary:

180000.00 - 270000.00 USD / Year

Plaid

Expiration Date

Until further notice

Requirements

5+ years of industry experience as a software engineer, with strong focus on ML/AI infrastructure or large-scale distributed systems
Hands-on expertise in building and operating ML platforms (e.g., feature stores, data pipelines, training/inference frameworks)
Proven experience delivering reliable and scalable infrastructure in production
Solid understanding of ML Ops concepts and tooling, as well as best practices for observability, security, and reliability
Strong communication skills and ability to collaborate across teams

Job Responsibility

Design and implement large-scale ML infrastructure, including feature stores, pipelines, deployment tooling, and inference systems
Drive the rollout of Plaid’s next-generation feature store to improve reliability and velocity of model development
Help define and evangelize an ML Ops “golden path” for secure, scalable model training, deployment, and monitoring
Ensure operational excellence of ML pipelines and services, including reliability, scalability, performance, and cost efficiency
Collaborate with ML product teams to understand requirements and deliver solutions that accelerate experimentation and iteration
Contribute to technical strategy and architecture discussions within the team
Mentor and support other engineers through code reviews, design discussions, and technical guidance

What we offer

medical, dental, vision, and 401(k)

Fulltime

Senior ML/AI Engineer

Provectus helps companies adopt ML/AI to transform the ways they operate, compet...

Location

Colombia , Medellín; Bogotá; Cali; Barranquilla

Salary:

Not provided

Provectus

Expiration Date

Until further notice

Requirements

Comfortable with standard ML algorithms and underlying math
Practical experience with solving classification and regression tasks in general, feature engineering
Practical experience with ML models in production: orchestrating workflows, monitoring metrics
Practical experience with one or more use cases from the following: NLP, LLMs, and Recommendation engines
Solid software engineering skills (i.e., ability to produce well-structured modules, not only notebook scripts)
Python expertise, Docker
Practical experience with cloud platforms (AWS stack is preferred, e.g. Amazon SageMaker, GCP, ECS, EMR/Glue, S3, Lambda, SQS)
English level - Upper Intermediate
Excellent communication and problem-solving skills

Job Responsibility

Create ML models from scratch or improve existing models
Create ML/AI pipelines that include custom models or APIs as part of the processing
Collaborate with the engineering team, data scientists, and product managers on production models
Develop experimentation roadmap
Set up a reproducible experimentation environment and maintain experimentation pipelines
Monitor and maintain ML models in production to ensure optimal performance
Write clear and comprehensive documentation for ML models, processes, and pipelines

Intermediate Software Engineer SRE – AI

At PointClickCare our mission is simple: to help providers deliver exceptional c...

Location

Canada , Mississauga

Salary:

115000.00 - 128000.00 CAD / Year

PointClickCare

Expiration Date

Until further notice

Requirements

5+ years' experience in software engineering
Experience with SRE principles
Experience with AI/ML in production environments
A passion for automation, intelligent systems, and operational excellence
Strong debugging, problem-solving, and system design skills
Languages: Python, Java, Bash, Terraform
Platforms: Azure, Kubernetes, Docker
Tools: Datadog, Prometheus, AppDynamics, ELK, GitHub Actions
ML/AI: MCP framework, AI agents, Vector store, Agent orchestration (LangChain), RAG
CI/CD: Jenkins, ArgoCD, Spinnaker

Job Responsibility

Build ML-based anomaly detection and pattern recognition systems
Enhance telemetry with smart tagging and metadata for better AI insights
Develop event-driven workflows and self-healing systems using AI triggers
Automate incident response with generative AI and custom AI agent orchestration
Use time-series forecasting and predictive modelling to anticipate failures
Optimise infrastructure with AI-powered autoscaling and cost-aware resource allocation
Build scalable, fault-tolerant systems in a cloud-native environment
Participate in on-call rotations and lead incident response for critical systems
Skilled in API integration for streamlined data exchange and system connectivity
Run internal AIOps workshops and help teams adopt AI maturity models

What we offer

Benefits starting from Day 1
Retirement Plan Matching
Flexible Paid Time Off
Wellness Support Programs and Resources
Parental & Caregiver Leaves
Fertility & Adoption Support
Continuous Development Support Program
Employee Assistance Program
Allyship and Inclusion Communities
Employee Recognition … and more

Fulltime

AI Engineer

At Helsing we deliver AI-based capabilities and the enabling infrastructure that...

Location

United States , Washington, DC

Salary:

Not provided

Helsing

Expiration Date

Until further notice

Requirements

Hold an MSc in artificial intelligence, machine learning, computer science or a related field with experience in conceptualizing, implementing, and thoroughly evaluating advanced AI-based systems
Have experience with the complete machine learning pipeline, from collecting and annotating data, to evaluating model architectures, and iteratively training and tuning models to meet performance requirements
Have excellent communication skills and the ability to report and present research findings clearly and efficiently both internally and externally
Possess solid software engineering skills, writing clean and well-structured code in Python and/or languages like Rust, Java, or modern C++, and experience deploying AI software to production including testing, QA, and monitoring
Have developed or implemented AI applications in defense and broadly understand defense specific use cases

Job Responsibility

Develop ML/AI that leverage and extend the latest state-of-the-art methods and architectures
Design experiments and conduct benchmarks to evaluate and improve their performance in real-world scenarios
Collaborate with people across several teams and backgrounds to integrate cutting edge ML/AI in our production systems

What we offer

Insurance coverage (medical and travel)
Flexible paid time off
Paid holidays

Fulltime

Sr.Manager Systems Engineering

The role of Systems Engineering Sr.Manager is to innovate, develop, standardize ...

Location

Switzerland , Campocologno

Salary:

Not provided

Baxter

Expiration Date

Until further notice

Requirements

Deep knowledge of design for automatic machines
Deep knowledge of computerized drawing techniques
Computer proficiency in Microsoft Office, AutoCAD software and ability to use enterprise software
Good knowledge of automatic machine controls and programming techniques
Knowledge of material technologies and their application into pharmaceutical industry
Knowledge of main norms related to machines manufacturing and fundamentals of technical documentation, safety rules
Proven track record of leading improvement initiatives and projects in manufacturing operations and functional disciplines delivering complex projects on time and within budget
Strong interpersonal skills and flexibility to effectively work at different levels of the organization and ability to provide coaching, motivate and guide team members
Strong understanding of systems engineering principles, methodologies, and tools
Expert problem solver and ability to think strategically

Job Responsibility

Lead and manage a team of Mechanical, Electrical, Systems Engineers
Resolve technical issues related to automatic processes and equipment that are complex and unclearly defined
Contribute to the development of new design techniques, innovative systems within the area of automation for pharmaceutical processes
Collaborate with cross-functional teams, including Product Management, Software Engineering, Mechanical Design, and Manufacturing
Responsible for executing the project strategy for simple, medium and complex automatic machines at global manufacturing sites
Lead the evaluation of equipment user requirements both during the quotation phase and at the receipt of project documentation
Define the functional architecture of a new system
Arrange, manage and plan the resources and activities of the equipment designers
Oversee the design, development, and testing of systems, including mechanical components and process automation systems
Collaborate with project leaders, suppliers and segments leaders for project strategy reviews and technical discussions

What we offer

Support for Parents
Continuing Education/Professional Development
Employee Heath & Well-Being Benefits
Paid Time Off
2 Days a Year to Volunteer

Fulltime

New

Machine Learning Engineering Lead

As our Machine Learning Engineering Lead, you will be responsible for building a...

Location

United States , New York; Philadelphia; Pittsburgh; Plymouth Meeting

Salary:

200000.00 - 250000.00 USD / Year

Credit Genie

Expiration Date

Until further notice

Requirements

7-10+ years of Backend Software Development experience and demonstrated prior experience working with ML/AI teams in a technical leadership capacity
Strong foundation in Software Development and prior experience leading impactful ML software projects
Strong foundation and demonstrated prior experience with Version Control, Infrastructure as Code, Testing, CI/CD, Monitoring and Observability
Demonstrated ability to deliver end-to-end production-grade ML solutions (e.g., experience with databases and data warehouses, streaming vs. batch data ingestion, feature engineering and versioning of features, Jupyter Notebooks and similar ML development environments, building and testing prediction services, versioning model artifacts, …)
Significant prior experience with ML-specific technologies such as Feature Stores/Feature Platforms and Model Registries, and demonstrated knowledge of ML-specific architectural patterns and tradeoffs (real-time vs. batch prediction, batch features vs. streaming features)

Job Responsibility

Responsible for building the Engineering foundation for the Data Science and ML/AI team, and for setting the company’s ML/AI Engineering roadmap in collaboration with our leadership team
Collaborate hands-on with Data Scientists and ML/AI Engineers to deliver production-grade ML/AI systems that support critical areas of our business (e.g., Risk and customer-facing in-app experiences)
Collaborate with leads from Engineering, Data Engineering, and Product to expand the existing technological stack of the company and support ML/AI-specific requirements
Responsible for setting and maintaining the highest ML Engineering standards in the Data Science and ML/AI team
Have fun working on hard and highly impactful problems

What we offer

Offers Equity
Offers Bonus
100% company-paid medical, dental, and vision coverage for you and your dependents on your first day of employment
Receive up to $100 per month in fitness reimbursement or enjoy a complimentary full membership to LifeTime Fitness or Equinox
401(k) with a 3.5% match and immediate vesting
Meal program available for both lunch and dinner
Pre-tax benefits, including a $1,000 HSA match
Life and accidental insurance
Flexible PTO

Fulltime

Engineering Manager, GenAI Platform

Our generative AI-powered products are bringing joy back to the practice of medi...

Location

United States , San Francisco

Salary:

220000.00 - 270000.00 USD / Year

Abridge

Expiration Date

Until further notice

Requirements

5+ years as a software engineer
2+ years managing software engineering teams
Experience in building and leading teams in the AI Infrastructure domain - LLM workflows, agentic systems, retrieval and evaluation
Comfortable giving constructive feedback on technical designs and code reviews
Skilled in building secure, compliant systems in major cloud platforms (GCP preferred, AWS experience welcome)
Familiar with containers, databases, and modern frontend frameworks
Skilled at hiring and mentorship, with a track record of helping engineers grow their skills and careers
Excited about being hands-on in a fast-moving, productive, and supportive environment
Has thrived in a fast-growing startup, knows how to operate in that environment

Job Responsibility

Recruit and mentor engineers with backgrounds in LLM-driven workflows and Agentic systems
Provide regular feedback
create opportunities for career growth
and foster a culture of collaboration and excellence
Work closely with ML/AI Research, Inference, Data, and Product teams to plan, execute, and support multiple projects simultaneously
responsible for the engineering process in the team and the output of the team
Help set business context for the team and apply your knowledge of business and software engineering to guide architectural discussions
anticipate and resolve technical challenges
and advocate for technology projects
Set a high standard for your team including software quality

What we offer

Generous Time Off: 14 paid holidays, flexible PTO for salaried employees, and accrued time off for hourly employees
Comprehensive Health Plans: Medical, Dental, and Vision coverage for all full-time employees and their families
Generous HSA Contribution: If you choose a High Deductible Health Plan, Abridge makes monthly contributions to your HSA
Paid Parental Leave: Generous paid parental leave for all full-time employees
Family Forming Benefits: Resources and financial support to help you build your family
401(k) Matching: Contribution matching to help invest in your future
Personal Device Allowance: Tax free funds for personal device usage
Pre-tax Benefits: Access to Flexible Spending Accounts (FSA) and Commuter Benefits
Lifestyle Wallet: Monthly contributions for fitness, professional development, coworking, and more
Mental Health Support: Dedicated access to therapy and coaching to help you reach your goals

Fulltime

Software Engineer (ML/AI)

Shield

Location:
Singapore , Singapore

Category:
IT - Software Development

Contract Type:
Not provided

Salary:

Job Description:

Job Responsibility:

Requirements:

Nice to have:

Additional Information:

Job Posted:
February 18, 2026

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Shield

Location:Singapore , Singapore

Category:IT - Software Development

Contract Type:Not provided

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Job Description:

Job Responsibility:

Requirements:

Nice to have:

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Job Posted:February 18, 2026

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