Role : ML Engineer (Associate / Senior)

Experience : 2-3 Years (Associate) 4-5 Years (Senior)

Mandatory Skill: Python/MLOps/Docker and Kubernetes/FastAPI or Flask/CICD/Jenkins/Spark/SQL/RDB/Cosmos/Kafka/ADLS/API/Databricks

Location: Bangalore

Notice Period:  less than 60 Days

 

Job Description:

Other Skills:  Azure/LLMOps/ADF/ETL

We are seeking a talented and passionate Machine Learning Engineer to join our team and play a pivotal role in developing and deploying cutting-edge machine learning solutions. You will work closely with other engineers and data scientists to bring machine learning models from proof-of-concept to production, ensuring they deliver real-world impact and solve critical business challenges.

Collaborate with data scientists, model developers, software engineers, and other stakeholders to translate business needs into technical solutions.Experience of having deployed ML models to productionCreate high performance real-time inferencing APIs and batch inferencing pipelines to serve ML models to stakeholders.Integrate machine learning models seamlessly into existing production systems.Continuously monitor and evaluate model performance and retrain the models automatically or periodicallyStreamline existing ML pipelines to increase throughput.Identify and address security vulnerabilities in existing applications proactively.Design, develop, and implement machine learning models for preferably insurance related applications.Well versed with Azure ecosystemKnowledge of NLP and Generative AI techniques. Relevant experience will be a plus.Knowledge of machine learning algorithms and libraries (e.g., TensorFlow, PyTorch) will be a plus.Stay up-to-date on the latest advancements in machine learning and contribute to ongoing innovation within the team.