▷ [Apply Now] Machine Learning Engineer
3 weeks ago
Title: Machine Learning Engineer (AWS + MLOps + LLMs) Location: Remote / Hybrid About the Role LowPropTax is looking for a Machine Learning Engineer who can manage the full ML lifecycle — from data preparation and model experimentation to cloud deployment and monitoring. You will build and scale ML systems using AWS tools, with a focus on Lambda, SageMaker, and Databricks. Responsibilities Design and automate end-to-end ML pipelines using AWS Lambda, SageMaker, and Step Functions. Experiment with models including LLMs, regression, and classification tasks. Use Databricks for feature engineering, model training, and performance tuning. Deploy models to production environments with CI/CD automation. Implement monitoring for accuracy, drift, and cost optimization. Collaborate with data and backend teams to integrate ML systems with core business applications. Document experiments, version models, and manage reproducibility. Requirements Strong Python programming experience (Pandas, NumPy, Scikit-learn, PyTorch or TensorFlow). Proven experience writing and deploying AWS Lambda functions. Experience with SageMaker, EC2, S3, IAM, and CloudWatch. Solid understanding of data workflows using Databricks or Spark. Familiarity with LLMs and prompt-based model fine-tuning. Knowledge of CI/CD, Git, and Docker. Good grasp of statistics, model evaluation, and performance metrics. Preferred Skills Experience building APIs for model inference. Understanding of MLflow, DVC, or similar model tracking tools. Hands-on experience with cost optimization in AWS ML workloads. Familiarity with data governance and versioning best practices. Ideal Profile This role blends data science experimentation with MLOps deployment. You’ll work on both — building models and running them in production. Compensation: Competitive, based on experience. Would you like me to make a shorter LinkedIn version (2-3 lines per section, punchier tone for posts and job boards)?
-
(Apply Now) Senior Machine Learning Engineer
3 weeks ago
Delhi, India Tata Consultancy Services Full timeWe are hiring for Senior Machine Learning Engineer !!!! Role: - Senior Machine Learning Engineer Experience: - 8+ years Location: - Bangalore Mandatory Skills: - Developer with hands on experience in ML Algorithms MLOPs TensorFlow, PyTorch AWS, Python Required technical Skill Set :- A Senior Machine Learning (ML) Engineer designs, builds, and deploys...
-
Machine Learning Engineer
2 weeks ago
Delhi, India Whatjobs IN C2 Full timeDesignation: - ML / MLOPs Engineer Location: - Noida (Sector- 132) Key Responsibilities: - Model Development & Algorithm Optimization : Design, implement, and optimize ML models and algorithms using libraries and frameworks such as TensorFlow , PyTorch , and scikit-learn to solve complex business problems. - Training & Evaluation : Train and evaluate models...
-
Machine Learning Engineer
2 weeks ago
delhi, India ThoughtSol Infotech Ltd. Full timeDesignation: - ML / MLOPs EngineerLocation: - Noida (Sector- 132)Key Responsibilities:• Model Development & Algorithm Optimization: Design, implement, and optimize MLmodels and algorithms using libraries and frameworks such as TensorFlow, PyTorch, andscikit-learn to solve complex business problems.• Training & Evaluation: Train and evaluate models using...
-
Machine Learning Engineer
2 weeks ago
Delhi, India ThoughtSol Infotech Ltd. Full timeDesignation: - ML / MLOPs EngineerLocation: - Noida (Sector- 132)Key Responsibilities:• Model Development & Algorithm Optimization: Design, implement, and optimize MLmodels and algorithms using libraries and frameworks such as TensorFlow, PyTorch, andscikit-learn to solve complex business problems.• Training & Evaluation: Train and evaluate models using...
-
Machine Learning Engineer
2 weeks ago
Delhi, India ThoughtSol Infotech Ltd. Full timeDesignation: -ML / MLOPs EngineerLocation: -Noida (Sector- 132)Key Responsibilities:•Model Development & Algorithm Optimization : Design, implement, and optimizeMLmodels and algorithmsusing libraries and frameworks such asTensorFlow ,PyTorch , andscikit-learnto solve complex business problems.•Training & Evaluation : Train and evaluate models using...
-
Machine Learning Engineer
3 weeks ago
New Delhi, India Luxoft Full timeProject descriptionWe are seeking a skilled and domain-expert Machine Learning Engineer to develop and deploy data-driven solutions in the context of Digital Oilfield (DOF) systems. The ideal candidate will have a strong foundation in machine learning, model development, and data analytics, with the ability to apply these skills to subsurface and production...
-
Machine Learning Engineer
2 weeks ago
Delhi, India Galleon Consultants Full timeJob Summary: As a Machine Learning Engineer specializing in generative AI, you will be responsible for designing, developing, and deploying advanced machine learning models that generate high- quality, human-like content. You will collaborate with cross-functional teams to integrate these models into our products, enhancing their capabilities and delivering...
-
Machine Learning Engineer
1 week ago
Delhi, India TalentBridge Full timeJob Summary: As a Machine Learning Engineer specializing in generative AI, you will be responsible for designing, developing, and deploying advanced machine learning models that generate high-quality, human-like content. You will collaborate with cross-functional teams to integrate these models into our products, enhancing their capabilities and delivering...
-
Machine Learning Engineer
3 weeks ago
Delhi, 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...
-
Machine Learning Engineer
4 hours ago
New Delhi, India techjays Full timeWhat makes Techjays an inspiring place to workAt Techjays, we are driving the future of artificial intelligence with a bold mission to empower businesses worldwide by helping them build AI solutions that transform industries. As an established leader in the AI space, we combine deep expertise with a collaborative, agile approach to deliver impactful...