ML Ops Engineer
7 days 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 domainsMust-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 consultationsAccess to mental health experts for you and your familyDedicated allowances for learning and skill developmentComprehensive leave policy with casual leaves, paid leaves, marriage leaves, bereavement leavesTwice a year appraisalInterview Process:Intro callAssessmentPresentationInterview rounds (ideally up to 3-4 rounds)Culture Round / HR round
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ML Ops Engineer
14 hours ago
Bengaluru, Karnataka, India Agiliad Full time ₹ 12,00,000 - ₹ 36,00,000 per yearJob Title: ML Ops EngineerLocation: BangaloreExperience: 38 YearsEmployment Type: Full-timeAbout the RoleWe are looking for a skilled ML Ops Engineer to design, build, and optimize scalable machine learning (ML) infrastructure and pipelines. You will collaborate with data scientists, ML engineers, and DevOps teams to operationalize ML models for production...
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Ml ops engineer
4 weeks ago
Bengaluru, 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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1 week ago
Bengaluru, Karnataka, India foundit Full time ₹ 15,00,000 - ₹ 25,00,000 per yearPosition:- ML Ops EngineerExperience:- 6+ yearsLocation:- BangaloreRequired Skills: ● Demonstrated ability in designing, building, refactoring and releasing software written in Python. ● Hands-on experience with ML frameworks such as PyTorch, TensorFlow, Triton. ● Ability to handle framework-related issues, version upgrades, and compatibility with data...
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2 days ago
Bengaluru, Karnataka, India Aziro Full time ₹ 15,00,000 - ₹ 25,00,000 per yearKey ResponsibilitiesDevelop, deploy, and maintain ML services using Langserve for efficient model serving.Monitor model performance and manage observability using Langfuse.Containerize applications and services using Docker for consistent development and production environments.Orchestrate and manage containerized workloads using Kubernetes (EKS/GKE/AKS or...
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ML Ops Engineer
2 weeks ago
Bengaluru, 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
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Bengaluru, Hyderabad, Noida, India Axtria Full time ₹ 20,00,000 - ₹ 25,00,000 per yearRole: Manager / Sr Manager ML Ops EngineerLocation: Gurugram / Noida / Bengaluru / Hyderabad / PuneJob Responsibilities: Axtria is a global provider of cloud software and data analytics to the life sciences industry. We help life sciences companies transform the product commercialization journey to drive sales growth and improve healthcare outcomes for...
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Ml ops engineer
2 weeks ago
Bengaluru, India Wenger & Watson Full timeExperience - 5 - 10 yrsLocations - Bangalore, Chennai, Mumbai, Pune, HyderabadKey ResponsibilitiesDesign, develop, and deploy machine learning models using AWS Sage Maker for various business applicationsImplement end-to-end ML pipelines from data preprocessing to model serving and monitoringBuild and maintain automated model training, validation, and...
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Ml ops engineer
2 weeks ago
Bengaluru, India Wenger & Watson Full timeExperience - 5 - 10 yrsLocations - Bangalore, Chennai, Mumbai, Pune, HyderabadKey ResponsibilitiesDesign, develop, and deploy machine learning models using AWS Sage Maker for various business applicationsImplement end-to-end ML pipelines from data preprocessing to model serving and monitoringBuild and maintain automated model training, validation, and...
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ML Ops Engineer
2 weeks ago
Bengaluru, India SatSure Full timeWe 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...
