ML Ops Engineer
17 hours ago
We are looking for a Machine Learning Operations Engineer to join our team, to design, build, and integrate ML Ops for large-scale, distributed machine learning systems, focusing on cutting-edge tools, distributed GPU training, and enhancing research experimentation. About SatSure: SatSure is a deep tech, decision Intelligence company that works primarily at the nexus of agriculture, infrastructure, and climate action creating an impact for the other millions, focusing on the developing world. We want to make insights from earth observation data accessible to all. Join us to be at the forefront of building a deep tech company from India that solves problems for the globe. Roles & Responsibilities: Architect, build and integrate end-to-end life cycles of large-scale, distributed machine learning systems i.e. ML Ops using cutting-edge tools/frameworks. Develop tools and services for explainability of ML solutions. Implement distributed cloud GPU training approaches for deep learning models. Build software/tools that improve the rate of experimentation for the research team and extract insights from it. Identify and evaluate new patterns and technologies to improve the performance, maintainability, and elegance of our machine learning systems. Contribute to and execute technical projects to completion. Collaborate with peers to develop requirements and monitor progress. Collaborate with engineers across various functions to solve complex data problems at scale. Qualification: 5 - 8 years of professional experience in implementing MLOps framework to scale up ML in production. Master’s degree or PhD in Computer Science, Machine Learning / Deep Learning domains Must-haves: Hands-on experience with orchestration and pipeline tools like Kubernetes, Apache Airflow, etc., and ML lifecycle management tools such as MLflow, SageMaker, or similar, covering model training, inference, evaluation, and deployment. Proficient in deploying ML models using frameworks like Ray Serve, TorchServe, TensorFlow Serving, or NVIDIA Triton Inference Server. Strong foundation in ML model training frameworks such as PyTorch, PyTorch Lightning, TensorFlow, etc. Experience leveraging GPU computing for parallel processing of data and model training. Solid software engineering skills with a track record of building production-grade systems. Advanced programming skills in Python. Proven experience in designing and implementing end-to-end data systems in roles like ML Engineer, ML Platform Engineer, or similar. Familiarity with cloud-based data processing tools and services such as AWS (S3, ECR, Lambda), Spark, Dask, Elasticsearch, Presto, and SQL. Exposure to geospatial or remote sensing data is an added advantage. Core Competencies: Strong debugging and critical thinking capabilities. Excellent analytical and problem-solving skills. Ability to thrive in fast-paced, collaborative team environments. Benefits: Medical Health Cover for you and your family, including unlimited online doctor consultations Access to mental health experts for you and your family Dedicated allowances for learning and skill development Comprehensive leave policy with casual leaves, paid leaves, marriage leaves, bereavement leaves Twice a year appraisal Interview Process: Intro call Assessment Presentation Interview rounds (ideally up to 3-4 rounds) Culture Round / HR round
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Ml ops engineer
4 weeks ago
Bangalore, India Aurigo Software Technologies Full timeRole Brief: We are seeking a skilled ML Ops Engineer to design, implement, and maintain scalable machine learning and large language model (LLM) pipelines in cloud environments, primarily using AWS services. This role is critical to ensuring the reliability, efficiency, and performance of ML systems in production. The ideal candidate will have hands-on...
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ML Ops Engineer
6 days ago
bangalore, India Aurigo Software Technologies Full timeRole Brief: We are seeking a skilled ML Ops Engineer to design, implement, and maintain scalable machine learning and large language model (LLM) pipelines in cloud environments, primarily using AWS services. This role is critical to ensuring the reliability, efficiency, and performance of ML systems in production.The ideal candidate will have hands-on...
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ML Ops Engineer
3 days ago
bangalore district, India Wenger & Watson Full timeExperience - 5 - 10 yrs Locations - Bangalore, Chennai, Mumbai, Pune, Hyderabad Key Responsibilities Design, develop, and deploy machine learning models using AWS SageMaker for various business applications Implement end-to-end ML pipelines from data preprocessing to model serving and monitoring Build and maintain automated model training, validation, and...
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ML Ops Engineer
2 weeks ago
bangalore, India Mastech Digital Full timePosition Title: ML Ops Engineer 4Complete onsite.Full-Time role Shift Timings: 10-7 pm /11-8 pm /12-9 pmAddress: Spire T110, Hyderabad Knowledge City, Madhapur, Hyderabad, Telangana, India, 500081.Job Description:Roles & Responsibilities:Define the long-term vision and strategy for MLOps initiatives: Set the direction for the organization’s MLOps, model...
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Senior ML Ops Engineer-Databricks
2 days ago
hyderabad district, India ValueMomentum Full timeJob Responsibilities: Evaluate and source appropriate cloud infrastructure solutions for machine learning needs, ensuring cost-effectiveness and scalability based on project requirements. Automate and manage the deployment of machine learning models into production environments, ensuring version control for models and datasets using tools like Docker and...
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Lead ML Engineer
17 hours ago
bangalore district, India ANSR Full timeAbout 4flow: Headquartered in Berlin, Germany, 4flow provides consulting, software and services for logistics and supply chain management. More than 1300 team members leverage their supply chain expertise and IT know-how to best serve their customers at 20+ locations around the world. 4flow develops and implements lean, agile and sustainable supply chain...
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ML Ops Engineer
3 days ago
bangalore, India Wenger & Watson Full timeExperience - 5 - 10 yrs Locations - Bangalore, Chennai, Mumbai, Pune, Hyderabad Key Responsibilities Design, develop, and deploy machine learning models using AWS SageMaker for various business applications Implement end-to-end ML pipelines from data preprocessing to model serving and monitoring Build and maintain automated model training, validation, and...
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Devops engineer- ml framework
4 weeks ago
Bangalore, India ITC Infotech Full timeJob Opportunity Dev Ops and ML framework at ITC Infotech ???? Location: Bangalore Experience Required: 4-7 Years Job Type: Full-Time Budget: 0 - 22 lacs only Notice period: Immediate to 15 days only. Job Title Dev Ops and ML framework Job Description Dev Ops Engineer with Machine Learning Framework Expertise Proficient in Python programming...
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ML Ops Engineer
2 weeks ago
bangalore, India GTT Data Solutions Ltd Full timeRole & Responsibilities: Good knowledge of Azure and Databricks cloud platform and services. Strong hands-on experience in end-to-end ML solution orchestration for – 1) Data/Feature Engineering, 2) Model Training/Inferences, 3) Real-time/Batch Processing. Hands-on experience in backend development using FastAPI. Very good knowledge of MLOps concepts like...
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Lead ML Engineer
1 week ago
bangalore, India ANSR Full timeAbout 4flow: Headquartered in Berlin, Germany, 4flow provides consulting, software and services for logistics and supply chain management. More than 1300 team members leverage their supply chain expertise and IT know-how to best serve their customers at 20+ locations around the world. 4flow develops and implements lean, agile and sustainable supply chain...
