Senior MLOps and Machine Learning Engineer
5 days ago
We are seeking a Senior Machine Learning Engineer to join our team and help shape the future of healthcare technology. In this role, you will design, build, and deploy machine learning systems that power predictive analytics and intelligent decision support in healthcare. You will take ownership of the full ML lifecycle—from data preparation, feature engineering, training, and evaluation to deployment and MLOps practices such as monitoring, scaling, and optimizing production systems. The goal is to ensure that our models are robust, scalable, and cost-efficient. This position is fully remote, open to candidates based in Europe or India , with periodic team gatherings in Mountain View, California. What You'll Do Build reliable, scalable, and reproducible ML pipelines using Python, PySpark, SQL, and Airflow (AWS MWAA). Deploy ML models into production to address complex healthcare challenges. Design and manage automated workflows with Docker, ECS/Kubernetes, and CI/CD pipelines. Collaborate with research teams to transform prototypes into production-ready products. Implement monitoring, logging, and retraining workflows; participate in the on-call process to support production ML pipelines. Leverage AWS services (S3, SageMaker, Lambda, Athena, etc.) to train, deploy, and serve models. Connect models with real-time and batch data sources via APIs and pipelines. Contribute to code quality, reviews, and system design discussions. Stay current with new tools, research, and best practices in ML, MLOps/LLMOps, and production-scale AI. What We're Looking For ~5+ years of applied machine learning and data science experience, with strong MLOps expertise. ~ Proficiency in Python (Pandas, PySpark, LightGBM, PyTorch, HuggingFace, etc.) and SQL. ~ Experience with model development, feature engineering, evaluation, and deployment in real-world environments. ~ Hands-on expertise with Airflow; additional experience with Prefect, Dagster, Kubeflow, or similar tools is a plus. ~ Strong understanding of AWS infrastructure for ML (S3, SageMaker, ECS, Step Functions). ~ Experience with Docker and Kubernetes/ECS for packaging and deploying models. ~ Familiarity with CI/CD for ML (e.g., CircleCI, MLflow, model versioning, testing, automation). ~ Willingness to participate in the on-call rotation for ML pipeline monitoring and support. ~ Strong communication skills and ability to thrive in fast-paced, cross-functional teams. ~ If you're passionate about building scalable ML systems that make a real-world impact in healthcare, we'd love to hear from you.
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Senior Machine Learning Engineer
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Bengaluru, India VARITE INC Full timeJob Description Multiple positions for GEN AI . -Immediate joiners only We have 20 positions looking for immediate joiners. Kindly apply. 1.AI Engineer / GenAI Developer Experience :- Minimum 5 years AI Development Location :- any NTT Data Location - Hybrid Remote (1 day / week from office) Shift Timing : 02:00 PM to 12:00 AM IST ; MUST Have Mandatory skills...
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Bangalore Urban, Karnataka, India, IN Tata Consultancy Services Full timeTCS Hiring !!Senior Machine Learning EngineerRole** Senior Machine Learning EngineerExp -5-7Please read Job description before ApplyingNOTE: If the skills/profile matches and interested, please reply to this email by attaching your latest updated CV and with below few details:Name:Contact Number:Email ID:Highest Qualification in: (Eg....
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Senior Machine Learning Engineer
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Bengaluru, India Endava Full timeJob Description Company Description Technology is our how. And people are our why. For over two decades, we have been harnessing technology to drive meaningful change. By combining world-class engineering, industry expertise and a people-centric mindset, we consult and partner with leading brands from various industries to create dynamic platforms and...
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▷ Urgent Search: Machine Learning Engineer
3 weeks ago
India V3 Staffing Full timeWe are hiring passionate Machine Learning Engineers and ML Leads for one of our product-based clients, driving innovation in AI, data engineering, and MLOps. If you have hands-on experience in ML model development, cloud platforms, and Generative AI tools, this opportunity is for you. Responsibilities: - Build and maintain scalable data & ML pipelines using...
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Senior MLOps Engineer
5 days ago
India SAIVA AI Full timeWe are seeking a Senior Machine Learning Engineer to join our team and help shape the future of healthcare technology. In this role, you will design, build, and deploy machine learning systems that power predictive analytics and intelligent decision support in healthcare. You will take ownership of the full ML lifecycle—from data preparation, feature...
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Senior Machine Learning Engineer
4 days ago
Mumbai, India Quantiphi Full timeJob Description Role: Senior Machine Learning Engineer Experience Level: 3+ Years Work location: Bangalore/Mumbai Notice Period:0-30 days Key Responsibilities: Experience in AI/ML, with a track record of working in large-scale programs and solving complex use cases using GCP AI Platform/Vertex AI Exceptional command in Agentic AI architecture, development,...
