AI Engineer + Python

Job Summary

We are seeking a highly skilled
AI Engineer with strong Python expertise
to design, develop, and deploy scalable AI/ML solutions. The ideal candidate will have hands-on experience in machine learning, deep learning, model deployment, and building production-grade AI systems. This role requires strong problem-solving skills and the ability to work in a fast-paced, collaborative environment.

Key Responsibilities

• Design, develop, and implement AI/ML models using Python.
• Build and optimize machine learning pipelines for structured and unstructured data.
• Develop scalable APIs for model inference and real-time predictions.
• Work with large datasets for data preprocessing, feature engineering, and model training.
• Deploy AI/ML models into production environments (AWS/Azure/GCP).
• Monitor model performance and implement model retraining strategies.
• Collaborate with Data Engineers, DevOps, and Product teams.
• Stay updated with the latest advancements in AI/ML technologies.

Required Skills & Qualifications

• Bachelor’s or Master’s degree in Computer Science, AI, Data Science, or related field.
• 3+ years of experience in AI/ML development.
• Strong proficiency in Python .
• Hands-on experience with:
• Machine Learning libraries: Scikit-learn, XGBoost, LightGBM
• Deep Learning frameworks: TensorFlow / PyTorch / Keras
• NLP libraries: NLTK, SpaCy, Transformers (preferred)
• Experience with data manipulation using Pandas, NumPy.
• Strong understanding of:
• Supervised & Unsupervised Learning
• Model evaluation techniques
• Feature engineering
• Experience with REST APIs (FastAPI/Flask).
• Knowledge of cloud platforms (AWS/Azure/GCP).
• Experience with Docker & CI/CD pipelines.
• Strong SQL knowledge.

Preferred Qualifications

• Experience with Generative AI / LLMs.
• Experience with MLOps tools (MLflow, SageMaker, Kubeflow).
• Knowledge of vector databases (Pinecone, FAISS, Weaviate).
• Experience with real-time inference systems.
• Familiarity with distributed computing (Spark/PySpark).

Nice to Have

• Experience with Agentic AI frameworks (LangChain, AutoGen, CrewAI).
• Experience with RAG (Retrieval-Augmented Generation) systems.
• Experience with prompt engineering.