Machine Learning Engineer - 3,730+ job offers

Spark Eighteen

This is a remote position. We’re not just building tech — we’re building smart, scalable solutions that make a real impact. We’re on the lookout for a curious and driven Senior AI/ML Engineer who’s excited about pushing the boundaries of what AI and machine learning can do. If you love working on re

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Role: AI/ML Engineer (Remote) Location: Remote (Work from Anywhere) Job Type: Full-Time Payout: $160K - $300K/yr Role Overview: We are hiring for one of our clients, seeking a Member of Technical Staff, AI/ML Engineering to work on a full-time basis. The role involves designing, developing, and depl

SPADTEK SOLUTIONS

Job Title: Senior AI/ML Engineer Employment Type: Contract Work Location: Remote, India Experience Range: 5 8 Years We re hiring for one of the top IT services companies. SPADTEK Solutions is proud to collaborate with leading IT organizations to source exceptional talent for their full-time and Cont

Versatile People

IMPORTANT Geography: Candidates based in India Job type: Permanent Work type: 100% Remote Notice Period: 2 weeks or less Engagement: Full-time, 4-5 hours (PST overlap) ABOUT THE ROLE A leading company specializing in delivering cutting-edge AI and machine learning solutions is seeking a seasoned ML

People Prime Worldwide

₹12,50,000 - ₹12,50,000 /year

Develop and deploy AI/ML models using Python. Work with LLM-based solutions (prompt engineering, fine-tuning, embeddings, model evaluation). Build scalable ML pipelines for training, inference, and automation. Analyze datasets and develop algorithms to solve business problems. Integrate AI models in

People Prime Worldwide

₹12,50,000 - ₹12,50,000 /year

Develop and deploy AI/ML models using Python. Work with LLM-based solutions (prompt engineering, fine-tuning, embeddings, model evaluation). Build scalable ML pipelines for training, inference, and automation. Analyze datasets and develop algorithms to solve business problems. Integrate AI models in

Design, develop, and maintain automated pipelines for input data ingestion and output model deployment to SAT environments. Collaborate with data engineering and AI/ML teams to ensure seamless integration of data and models across environments. Build CI/CD workflows for ML model lifecycle management

Roles and Responsibilities: Technical Leadership Architect, design, and implement scalable machine learning systems for optimized content delivery, connectivity, and personalization. Lead decision-making for ML infrastructure, cloud-based data pipelines, and deployment strategies. Define best practi

Key Responsibilities: Design, implement, and optimize machine learning, information extraction, and probabilistic matching algorithms. Build and deploy scalable, production-ready machine learning models to address real-world business challenges. Collaborate with Data Engineers to design and prepare

TAC Security

₹2,50,000 - ₹2,50,000 /year

Key Responsibilities: Perform requirements analysis, identifying deficiencies, ambiguities, and outstanding questions. Distinguish clearly between business requirements, design, and implementation constructs. Follow established software patterns, development processes, and best practices. Write conc

Train and evaluate ML/DL models for classification, regression, or computer vision tasks. Prepare and process structured and unstructured datasets (design files, simulations, time-series, sensors). Prototype solutions such as anomaly detection, surrogate modeling , or recommendation systems. Automat

Roles & Responsibilities: AI/ML Solution Development: Solve business use cases using computer vision, OpenCV, machine learning, AI, and analytics. Develop machine learning applications according to business requirements. Train, retrain, and fine-tune models as necessary. Select appropriate datasets

Preferred Qualifications: Experience in AI/ML in the healthcare sector Experience working with cross-functional and distributed teams in a global and diverse environment Experience in establishing AI/ML best practices, standards, RUAI, and ethics Required Qualifications: Proven solid Python programm

Key Objectives: Translate business problems into ML/AI solutions with measurable impact. Build and optimize production-grade ML models that are scalable and reliable. Ensure robustness, fairness, and efficiency in ML pipelines. Drive adoption of AI/ML best practices across the organization. Core Res

What You Need To Succeed 4–6 years of proven, hands-on industry experience as a Machine Learning Engineer. Strong command of Python and SQL; experience with distributed computing frameworks like Spark or Hadoop is a significant plus. A bachelor's degree in computer science, Mathematics, Physics, Sta

What You Need To Succeed 2 to 4 years of proven experience as a Machine Learning Engineer in a professional setting. Proficiency in any programming language (Python preferable). Prior experience in building and deploying Machine learning systems. Experience with containerization: Docker & Kubernetes

What the Candidate Will Need / Bonus Points What the Candidate Will Do Design and develop large-scale machine learning models systems Collaborate with backend and frontend engineers to integrate your solutions into our products & platforms. Write clean, modular, and maintainable code. Conduct code r

What the Candidate Will Need / Bonus Points What the Candidate Will Do ode: Writes high-quality code (i.e., reliable, readable, efficient, testable), provides quality code reviews, and creates comprehensive tests and quality documentation using software engineering principles. This includes knowledg

ABOUT THE ROLE Applied AI is a horizontal AI team at Uber collaborating with business units across the company to deliver cutting-edge AI solutions for core business problems. We work closely with engineering, product and data science teams to understand key business problems and the potential for A

What You'll do: Apply leading Models to solve business problems Use models from GPT-* to LLama-* to solve wide range of business problems from sales tech, employee productivity, coding and automation Build RAG frameworks Build Langchain modules Model Development and Implementation: Design, develop,