The AI Engineer will design, build, and deploy machine learning (ML) models and multi-agent AI systems. This role focuses on implementing production-ready generative AI, building data pipelines, and converting complex infrastructure into scalable APIs. You will collaborate closely with cross-functional teams to align advanced automation with organizational goals
Core Responsibilities
- Model Development: Design, build, and train deep learning models, neural networks, and generative AI frameworks.
- System Integration: Convert trained AI/ML models into actionable APIs and embed them into live software products.
- Data Management: Collect, clean, and optimize large scale datasets to establish efficient model training pipelines.
- AI Agent Workflows: Develop and orchestrate autonomous multi-agent systems and semantic search indices.
- Performance Tuning: Conduct model evaluation, error tracking, and hyperparameter tuning for scalability and accuracy.
- Cross-Team Collaboration: Partner with data scientists, software engineers, and product owners to meet technical project milestones.
- Technical Skills & Qualifications
- Education: Bachelor’s or Master's degree in Computer Science, Data Science, or a heavily quantitative field.
- Languages: Complete proficiency in Python, SQL, and optionally C++ or Java.
- ML Frameworks: Proven experience using PyTorch, TensorFlow, and the HuggingFace ecosystem.
- GenAI Tools: Mastery of orchestrating LLM frameworks via LangChain, LlamaIndex, or CrewAI.
- Cloud & Infrastructure: Hands-on experience with cloud platforms like AWS (SageMaker), Azure ML, and vector databases
Pay: ₹20,000.00 - ₹40,000.00 per month
Benefits:
- Cell phone reimbursement
- Flexible schedule
- Food provided
- Paid sick time
- Paid time off
Work Location: In person
