Technical Lead

Role: ML Engineer (Associate / Senior) Experience : 2-3 Years (Associate), 4-5 Years (Senior) Location : Bangalore Notice Period : Less than 60 Days Job Description: 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. Key Responsibilities: 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 production. Create 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 periodically. Streamline 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 ecosystem . Knowledge 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. Additional Skills: Azure / LLMOps / ADF / ETL Docker , Kubernetes , FastAPI , Flask , CI/CD , Jenkins , Spark , SQL , RDB , Cosmos , Kafka , ADLS , API , Databricks