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.