AI/ML Engineer

Key Responsibilities

• Design, develop, and deploy scalable machine learning models for real-world applications.
• Work on Generative AI-based solutions such as chatbots using RAG approaches.
• Implement and optimize product matching, image recognition, and NLP/LLM solutions.
• Collaborate with cross-functional teams to integrate AI/ML solutions into existing products and workflows.
• Develop and maintain ML pipelines using MLflow, Kubeflow, or similar frameworks.
• Write and optimize SQL queries for data manipulation and analysis.
• Ensure model performance, scalability, and maintainability.
• Stay current with advancements in AI/ML, deep learning, and Gen AI frameworks.
  

Required Skills & Experience

• 2+ years of hands-on experience as an ML Engineer, Data Scientist, or AI Developer.
• Proficiency in Python (functions, debugging, data manipulation, system design principles).
• Strong understanding of ML algorithms, techniques, and best practices.
• Experience with Databricks, Azure AI Services, and other ML/cloud platforms (AWS, Azure, GCP).
• Proficiency in TensorFlow, PyTorch, and Scikit-learn.
• Expertise in SQL (aggregations, joins, complex queries).
• Hands-on experience in Generative AI frameworks such as LangChain, LangGraph, AutoGen, CrewAI, etc.
• Familiarity with LLMs (GPT, BERT, etc.) and RAG-based chatbot development.
• Strong understanding of MLOps tools like MLflow or Kubeflow.
  

Preferred Skills

• Experience in model optimization and performance tuning.
• Familiarity with product integration and deployment on cloud environments.
• Knowledge of version control (Git) and Agile development practices.