Job Description

: Key Responsibilities:? Design and develop machine learning and deep learning models for various use cases.? Collect, preprocess, and analyze large datasets to support model training and evaluation.? Deploy, monitor, and maintain ML models in production environments.? Collaborate with cross-functional teams to integrate AI solutions into applications and workflows.? Research and evaluate new algorithms, tools, and frameworks to enhance ML infrastructure.? Optimize model performance and retrain models as needed.? Document processes, models, and systems for transparency and reproducibility.Skill:? Strong programming skills in Python (and libraries such as TensorFlow, PyTorch, Scikit-learn, etc.).? Solid understanding of machine learning, deep learning, statistics, and data modeling.? Experience with ML lifecycle tools (e.g., MLflow, Kubeflow) and deployment platforms (e.g., AWS SageMaker, Google Vertex AI).? Familiarity with data engineering tools and frameworks (e.g., Spark, Kafka, Airflow).? Proficiency in working with APIs, version control systems (Git), and containerization (Docker/Kubernetes)
Job Location: NEW DELHI~BANGALORE~HYDERABAD '