AI/ML Engineer

· Design, develop, and deploy AI/ML models for enterprise applications.

· Build scalable machine learning pipelines and data preprocessing workflows.

· Develop and optimize LLM, NLP, and Generative AI solutions.

· Integrate AI models with cloud platforms and production systems.

· Monitor model performance, retrain models, and improve accuracy.

· Collaborate with Data Engineers, Data Scientists, and software development teams.

· 8+ years of AI/ML engineering experience.

· Strong proficiency in Python, TensorFlow, PyTorch, and Scikit-learn.

· Experience with LLMs, Generative AI, RAG, LangChain, and Vector Databases.

· Knowledge of AWS or Azure AI/ML Services.

· Experience with Docker, Kubernetes, Git, and CI/CD.

· Strong SQL and data engineering fundamentals.

Preferred Skills

· MLOps use MLflow or Kubeflow.

· Apache Spark or PySpark.

· Hugging Face Transformers.

· Databricks and Snowflake.

· Knowledge Graphs and Graph Databases.

· Excellent communication and problem-solving skills.