Remote Machine Learning Engineer Jobs in India

25 Machine Learning Engineer jobs in India available for remote work from home. Apply for positions such as Machine Learning Engineer, Machine Learning Engineer, Senior Machine Learning Engineer and more! Discover the best work-from-home or hybrid, full- and part-time jobs.

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Remote Machine Learning Engineer Jobs in India (25)

Search = Machine Learning Engineer Remote in = India
Portcast is hiring for remote Senior Machine Learning Engineer

Senior Machine Learning Engineer

Portcast · Full Time · Yesterday
Portcast
🌎 Bosnia and Herzegovina, India, Indonesia, Malaysia, Philippines, Singapore, Thailand, Vietnam ⭐ 5-10 yrs exp 💼 Software Development Machine Learning Engineer
You will own the end-to-end machine learning lifecycle, from research and model development to deployment and scaling in production environments. You will work directly with product teams to design algorithms for visibility, demand forecasting, and freight audit while ensuring system reliability and performance.
Atlassian is hiring for remote Principal Machine Learning Engineer

Principal Machine Learning Engineer

Atlassian · Full Time · 2 Weeks Ago
Atlassian
You will set the technical direction for AI initiatives within Jira Service Management, designing and optimizing multi-step LLM pipelines. Additionally, you will own the quality, reliability, and performance of AI workflows while mentoring emerging engineers and driving long-term ML strategy.
‎ConnectWise is hiring for remote Principal Machine Learning Engineer

Principal Machine Learning Engineer

‎ConnectWise · Full Time · 2 Weeks Ago
‎ConnectWise
The Principal Machine Learning Engineer will build and optimize machine learning models while designing and maintaining the necessary infrastructure. They will collaborate with cross-functional teams to establish data pipelines and deliver production-grade ML services for the company platform.

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Atlassian is hiring for remote Principal Machine Learning Engineer

Principal Machine Learning Engineer

Atlassian · Full Time · 3 Weeks Ago
Atlassian
Drive the development and implementation of cutting-edge machine learning algorithms and sophisticated models to build AI functionalities into Atlassian products. Responsibilities include designing system architectures, conducting rigorous model evaluations, and mentoring emerging ML engineers.
Nagarro is hiring for remote Associate Principal Engineer, Machine Learning

Associate Principal Engineer, Machine Learning

Nagarro · Full Time · 7 Weeks Ago
Nagarro
🌎 India ⭐ 10+ yrs exp 💼 Software Development
Translate client business use cases into technical designs and oversee the overall architecture for AI/ML applications. Lead the development process by defining benchmarks, reviewing design documents, and conducting POCs to ensure scalability and security.
Nagarro is hiring for remote Principal Engineer, Machine Learning

Principal Engineer, Machine Learning

Nagarro · Full Time · 7 Weeks Ago
Nagarro
🌎 India ⭐ 10+ yrs exp 💼 Software Development
Translate client business use cases into technical designs and oversee the overall architecture and framework of AI applications. Responsible for reviewing designs for scalability and security while conducting POCs to validate technology choices.
High 5 Games is hiring for remote Machine Learning Engineer with an Agentic Focus

Machine Learning Engineer with an Agentic Focus

High 5 Games · Full Time · 21 Weeks Ago
High 5 Games
The role involves designing, developing, and deploying machine learning models and solutions, utilizing tools like LangGraph and MLflow for orchestration and lifecycle management. Responsibilities also include building scalable data pipelines using GCP services and implementing robust monitoring strategies for model performance and reliability.
Smart Working Solutions is hiring for remote Machine Learning Engineer (Mid/Senior) (Remote, Full-Time) [AS221]

Machine Learning Engineer (Mid/Senior) (Remote, Full-Time) [AS221]

Smart Working Solutions · Full Time · 21 Weeks Ago
Smart Working Solutions
The Machine Learning Engineer will be responsible for driving the development and integration of AI capabilities by building end-to-end ML solutions, from data modeling through to system deployment. Key tasks include automating complex processes, translating business problems into scalable ML solutions, and promoting machine learning best practices across the organization.
Weave is hiring for remote Senior Machine Learning Engineer, Gen AI

Senior Machine Learning Engineer, Gen AI

Weave · Full Time · 23 Weeks Ago
Weave
The role involves designing and developing machine learning infrastructure, tooling, and models to enable teams to deliver world-class experiences and build internal platforms for incorporating AI features. You will also consult with teams on machine learning patterns, tradeoffs, and guide them through creating excellent end-to-end customer experiences.

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Loopio Inc. is hiring for remote Senior Machine Learning Engineer (Library)

Senior Machine Learning Engineer (Library)

Loopio Inc. · Full Time · 23 Weeks Ago
Loopio Inc.
The role involves building and productionizing core ML components, focusing on LLM and NLP models for search, summarization, and generative tasks by developing optimized pipelines and prompt strategies. Responsibilities also include designing scalable ML services and inference pipelines in Python, ensuring robust engineering discipline through testing and observability.

Machine Learning Engineer (Remote)

Codvo.ai · Full Time · 35 Weeks Ago
Codvo.ai
The Machine Learning Engineer will work closely with the Data Science team to develop and implement ML algorithms into production code. They will ensure that algorithms are optimized for performance and scalability while collaborating with cross-functional teams.
Smartsheet is hiring for remote Senior Machine Learning Operations Engineer

Senior Machine Learning Operations Engineer

Smartsheet · Full Time · 7 Weeks Ago
Smartsheet
🌎 India ⭐ 10+ yrs exp 💼 Software Development
Architect and maintain the machine learning production lifecycle by designing scalable infrastructure and automation pipelines. Collaborate cross-functionally to deploy, monitor, and optimize AI models to ensure high performance and security.

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