Senior Ml Ops Engineer
3 weeks ago
Sagri is a pioneering AgriTech startup that combines satellite data artificial intelligence and grid technology to tackle critical challenges in agriculture and the environment Our mission is to create value by visualizing agricultural land enabling sustainable farming practices reducing carbon emissions and driving positive change for farmers the planet and future generations The RoleAs a skilled and committed Senior MLOps Engineer you will oversee the entire lifecycle of machine learning ML models from development through production with a focus on automation scalability and monitoring Your role will be vital to Sagris mission of empowering agricultural enterprises to track and reduce their carbon footprint and greenhouse gas emissions In this role you will Design and implement automated ML pipelines for developing testing deploying and monitoring ML models Collaborate closely with Data Science and Engineering teams to integrate models into production environments Develop infrastructure for model versioning scaling and serving to ensure high availability and low latency Establish CI CD processes for model deployment and data pipelines ensuring reproducibility and consistency across environments Monitor model performance set up logging and create alert systems for ML models in production Optimize ML workloads for performance and cost-efficiency in cloud environments e g AWS GCP or Azure Ensure data integrity compliance and security standards especially concerning sensitive agricultural data Participate in green computing initiatives to minimize the carbon footprint of ML operations Assist in creating and maintaining a central data platform for collaborative model development and application ensuring data pipelines and models are well-documented Ideal Profile You possess a Bachelor s degree in Computer Science Engineering or a related field You have 6-7 years of experience in IT focusing on MLOps DevOps or Data Engineering roles You possess expertise with cloud platforms AWS GCP Azure and infrastructure as code tools e g Terraform CloudFormation You demonstrate hands-on experience with Kubernetes or other container orchestration technologies for scaling ML models You are proficient with CI CD tools e g Jenkins GitLab CI ArgoCD and familiar with version control e g Git You have experience with data pipeline orchestration tools like Apache Airflow or Kubeflow You understand monitoring tools and techniques for tracking model performance e g Prometheus Grafana ELK stack You are knowledgeable in data management and ETL processes particularly with agricultural and environmental data You show proficiency in Python with exposure to ML frameworks like TensorFlow PyTorch or Scikit-learn You have experience in the agriculture sector or climate tech with knowledge of carbon GHG emissions projects You are familiar with geospatial data and remote sensing tools e g Sentinel-2 Google Earth Engine is a plus You display a commitment to automation efficiency and sustainability in ML operations What s on Offer Work with a well-funded AgriTech startup tackling critical challenges in Agriculture and the Environment Play a pivotal role in shaping a high-impact product driving the future of Agriculture Work with state-of-the-art technologies in AI remote sensing and data analytics Be part of a diverse talented and mission-driven team
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Ml ops engineer
1 week 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 engineer/ml ops
3 weeks ago
Bangalore, India Tiger Analytics Full timeSenior ML Engineer (ML Ops) Chennai / Bangalore / Hyderabad Who we are Tiger Analytics is a global leader in AI and analytics, helping Fortune 1000 companies solve their toughest challenges. We offer full-stack AI and analytics services & solutions to empower businesses to achieve real outcomes and value at scale. We are on a mission to push the boundaries...
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Ml engineer/ml ops
2 weeks ago
Bangalore, India Tiger Analytics Full timeSenior ML Engineer (ML Ops) Chennai / Bangalore / Hyderabad Who we are Tiger Analytics is a global leader in AI and analytics, helping Fortune 1000 companies solve their toughest challenges. We offer full-stack AI and analytics services & solutions to empower businesses to achieve real outcomes and value at scale. We are on a mission to push the boundaries...
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ML Ops Engineer
3 days ago
bangalore, 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...
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ML Ops Engineer
3 days ago
Bangalore, 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...
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ML Ops Engineer
2 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...
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ML Ops Engineer
2 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
3 weeks ago
Bangalore, 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 Sat Sure: Sat Sure is a deep tech, decision Intelligence company that works...
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ML Ops Engineer
1 week ago
bangalore district, 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
1 week ago
bangalore, India EXL Full timePrior ~2+ years of experience working with ML Ops & DS Responsibilities & Skills : Deploy, monitor, and scale ML models on AWS (SageMaker, EKS, Lambda) or GCP (Vertex AI, GKE, Cloud Functions) . Build and maintain CI/CD pipelines for ML workflows using GitHub Actions / Jenkins / cloud-native tools . Containerize and orchestrate workloads with ...
