Description

You will drive the development, deployment, and productionization of AI/ML solutions, including Text Analytics and Generative AI techniques.

This role is on-site.

Responsibilities

• Own the end-to-end lifecycle of ML models and implement MLOps practices.
• Build and maintain microservices and REST APIs for model serving.
• Orchestrate complex data and ML workflows using workflow management tools.
• Develop production-ready solutions utilizing Text Analytics and Generative AI.

Required Skills

• 10+ years of experience in AI/ML development.
• Expert proficiency in Python and Java.
• Deep knowledge of ML frameworks: TensorFlow, PyTorch, Keras, SciKit-learn.
• Hands-on experience with cloud platforms: AWS, Azure.
• Expertise in neural network architectures: Transformers, CNN, RNN, and Ensemble Models.
• Experience with NLP tools: NLTK, SpaCy, and Gensim.
• Familiarity with MLOps tools: Kubeflow, MLflow, and Airflow.
• Proficiency with SQL and NoSQL databases (MongoDB, Postgres, Neo4j).

Key Skills

Education

Any Graduate