AI/ML Specialist with Python Expertise

Key Responsibilities:

• Custom Agent Development: Build, configure, and optimize agentic AI systems capable of autonomous reasoning, multi-step problem solving, and task execution.
• Python Engineering: Design clean, efficient, scalable Python code for data processing, model training, and API integration.
• Model Training & Fine-Tuning: Train, validate, and fine-tune models (LLMs, transformers, reinforcement learning agents) for specific business use cases.
• Integration: Develop pipelines to connect AI agents with external APIs, databases, and third-party services.
• Experimentation & Evaluation: Run A/B tests, evaluate agent performance metrics, and ensure robustness and reliability in real-world environments.
• Collaboration: Work closely with product, engineering, and research teams to align AI implementations with business objectives.
• Continuous Learning: Stay updated with cutting-edge AI research, libraries, and frameworks to optimize products.

Required Skills & Qualifications:

• Education: Bachelor s or masters degree in computer science, Artificial Intelligence, Data Science, or related field.

Technical Proficiency:

• Strong programming skills in Python (async programming, OOP, modular design).
• Hands-on experience with machine learning frameworks such as TensorFlow, PyTorch, Hugging Face, LangChain, or RAG pipelines.
• Good understanding of LLMs, reinforcement learning, training of models, and prompt engineering.
• Proficiency in building and deploying REST APIs, microservices, and cloud-based AI solutions (AWS/GCP/Azure).

Experience:

• Minimum 3 5 years of experience in developing intelligent, Python-based applications with integrated AI capabilities, along with hands-on expertise in working with modern, newly released frameworks.
• Prior hands-on experience developing conversational bots, AI copilots, or agent-based systems.

Soft Skills: Strong problem-solving ability, collaborative mindset, curiosity for AI research, and effective communication skills.

Preferred Qualifications-Nice to have:

• Knowledge on Web dev tools & tech - html, js, css are a plus point.
• Exposure to knowledge graphs, vector databases (Milvus, Pinecone, Weaviate, FAISS).
• Understanding of MLOps practices (model versioning, deployment automation, CI/CD for ML).
• Familiarity with Responsible AI principles (ethics, bias detection, explainability).
• Experience with generative AI (NLP, text-to-speech, multi-modal LLMs).