AI Engineer

We seek a AI Engineer with min 3 years of hands-on experience (or strong internships/projects) in machine learning, NLP, or GenAI. You will support the development and deployment of AI models, contribute to data preparation pipelines, and learn best practices in MLOps and applied AI engineering.

Key Responsibilities

1. Model Development & Support
   Assist in building ML models (classification, regression, clustering, forecasting).
   Contribute to fine-tuning and prompt engineering for LLMs (GPT, LLaMA, etc.).
   Experiment with vector databases and RAG pipelines for GenAI applications.
2. Data Preparation & Engineering
   Work with structured/unstructured datasets for ML training.
   Perform data cleaning, feature engineering, and basic pipeline development.
3. MLOps & Deployment (Learning Role)
   Support containerization and deployment of models using Docker/Kubernetes.
   Learn to implement CI/CD pipelines for ML workflows.
4. Collaboration & Learning
   Work under guidance of senior engineers and data scientists.
   Document experiments and present results to technical and business stakeholders.

Technical Skills:o Programming: Python (pandas, NumPy, scikit-learn, PyTorch/TensorFlow).
o ML Basics: Regression, classification, clustering, time-series.
o GenAI/LLMs: Prompt engineering, LangChain basics, RAG concepts.
o Databases: SQL (basic), exposure to NoSQL/vector DBs (Pinecone, FAISS).
o MLOps Exposure: Docker, Git, basic CI/CD knowledge.
Bonus: Knowledge of vision models, transformers, or cloud AI services (AWS Sagemaker, Azure ML, GCP Vertex AI).