Ml ops jobs in India

We are looking for a senior ML Ops professional to design, build and operate ML Ops and Data ETL pipelines. · ...

We are seeking a highly skilled ML Ops engineer with experience in deploying and managing machine learning models in cloud environments. The ideal candidate will have strong proficiency in Python and experience with machine learning libraries such as TensorFlow and PyTorch. · * D ...

Experience in GPU cluster development and deployment of large-scale neural net models required. · ...

Experience in GPU cluster development with 5+ years of experience in model lifecycle architecture, end-to-end AI solution deployment, large-scale neural net models deployment and orchestrated LLM applications. · ...

Automating AI/ML model deployment and setting up monitoring for the ML pipeline integrate the existing new codebase to the customer pipelines. · ...

Join Iris Software — one of the fastest-growing IT services companies — where you own and shape your success story. · ...

We are seeking an experienced ML Ops professional to join our team in Noida. As a key member of our infrastructure team, you will be responsible for building and managing scalable ML workflows using AWS SageMaker and other cloud-based technologies. · ...

Design and implement scalable data pipelines using AWS services such as S3, Lambda, and EMR. · Develop and maintain large-scale machine learning models using AIML and other relevant technologies. · Collaborate with cross-functional teams to integrate ML models into existing syste ...

Join Iris Software — one of the fastest-growing IT services companies — where you own and shape your success story. · ...

You should have experience with Databricks, including cluster configuration, pipelines, job orchestration, · and admin setup. Additionally you should be proficient in PySpark for ETL and data transformations. · Experience with Databricks. · Familiarity with infrastructure automat ...

Join our perception team to industrialize sophisticated low-level perception algorithms for our next generation of advanced driver assistance systems. · ...

We are looking for an ML OPS to join our team. The role will involve working on complex applications with the latest technologies such as high-value complex Application & Product Engineering, Data & Analytics, Cloud, DevOps, Data & MLOps, Quality Engineering and Business Automati ...

The purpose of this role is to design, test and maintain software programs for operating systems or applications which needs to be deployed at a client end and ensure its meet 100% quality assurance parameters. · ...

+ Develop scalable,maintainable Python-based backend systems+ Build and optimize APIs using Flask,Django,FastAPI+ Integrate ML and LLM models into production workflows+ Collaborate with Data Science,DevOps,Architecture,QA,and Cyber Security teams+ Design efficient database schema ...

+Job summary · We are seeking a skilled ML Ops Engineer to design and implement scalable machine learning pipelines in cloud environments. · +ResponsibilitiesStrategizing and implementing scalable infrastructure for ML model pipelines using tools like AWS Batch, Fargate and Bedro ...

· As an AI / ML Ops Engineer, you'll play a key role in building and operating production-ready ML and GenAI solutions, helping us deliver reliable, scalable, and well-governed AI capabilities. · ...

Design deploy and manage scalable secure and automated ML/AI platforms across Azure and AWS. · Lead MLOps lifecycle model deployment monitoring retraining CI/CD orchestration and drift management. · ...

We're Hiring: ML Ops Engineer · Experience: 5+ Years · Location: RMZ Infinity, Bangalore · Company: Andor Tech India · Duration: 6 Months(Extendable) · Deployment: Leading global financial infrastructure and data provider client · Key Responsibilities · Develop scalable, maintain ...

ML Ops Engineer · We are seeking a skilled ML Ops Engineer to support and enhance our machine learning operations infrastructure. · Monitor support channels and incident queues to proactively identify and address operational issues. · Investigate and resolve issues reported by au ...

Design, develop, and implement MLOps pipelines for the continuous deployment and integration of machine learning models. · Machine Learning Consultant with ML Ops Skill and 2-3 minimum production level implementation on their portfoli · Azure ML experience preferred · Strong prob ...