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

Skills Required
MLops, Python