Machine Learning Engineer

16 hours ago

Delhi, India Insight Global Full time
Client Industry: Healthcare
Job Title: ML Engineer
Location: Remote, India (ideally sit out of Bangalore)
Duration : FTE
BR: 40,000 lakhs – flexible for right person. Benefits, PTO, stock
Interview Process: 3 round plus take home assignment
Job Description:
Key Responsibilities
Model Deployment and Productionization : Lead the design, development, and deployment of machine learning models to production environments. Ensure smooth productionization of code that meets high standards of scalability and reliability.
Code Optimization : Productionize code for various ML models (Video LLM, Computer Vision, Audio Models, etc.) and contribute to their seamless integration into production systems.
Collaboration and Communication : Work closely with researchers in India and engineering teams in the US to ensure smooth knowledge transfer, alignment on project goals, and seamless model deployment.
Troubleshooting and Debugging : Proactively identify, diagnose, and resolve issues in production environments to ensure minimal service disruptions.
MLOps Best Practices : Develop and maintain CI/CD pipelines for automated model deployment, and ensure that version control practices using Git are followed consistently.
Productionize Research Models : Take experimental code from the research team and develop production-ready code, optimizing it for performance, scalability, and deployment readiness.
Cloud Integration : Leverage cloud platforms such as AWS , Azure , or GCP to deploy and manage models at scale.
Qualifications
Bachelor’s or Master’s degree in Computer Science , Engineering , or a related field.
5+ years of experience in software engineering , with a strong focus on productionizing code and deploying machine learning models.
Proficiency in Python programming , including relevant ML libraries like scikit-learn , TensorFlow , and PyTorch .
Experience with CI/CD pipelines and automation tools for continuous integration and deployment.
Solid understanding of Object-Oriented Programming (OOP) principles.
Hands-on experience with version control systems such as Git .
Expertise in cloud platforms like AWS , Azure , or GCP for deploying and scaling machine learning models.
Strong problem-solving, debugging, and analytical skills.
Excellent communication and collaboration skills, with a demonstrated ability to work effectively in distributed, cross-functional teams.
Preferred Qualifications
Experience with various ML model deployment strategies (batch inference, real-time inference, model serving).
Familiarity with Agile methodologies and working in iterative development environments.
Hands-on experience with productionizing code for Video LLMs , Computer Vision , and Audio models .
About the Role
Frontera Health is looking for a highly skilled and motivated ML Engineer to join our expanding team in India (Goa/Bangalore). This role is crucial in taking research to production, ensuring our cutting-edge machine-learning models are efficiently developed, deployed, and maintained at scale. As part of a dynamic and fast-paced environment, you will work closely with our research and infrastructure teams across India and the US , focusing on productionizing machine learning models in various domains, including Video LLM , Computer Vision , Audio Models , and Reidentification Algorithms .
This position demands strong software engineering principles, a passion for optimization, and the ability to communicate and collaborate effectively within cross-functional teams.

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