AI Engineer

the opportunity to grow as we grow, taking their career into their own hands. DIVERSITY & INCLUSION We believe that diversity of people and perspective gives us a competitive advantage. Location - Pune/Bangalore Experience - 5 to 9 Skills and Qualifications : Preferred skills: Programming: Advanced Python (async programming, OOP, REST APIs, FastAPI, Flask, Pandas, NumPy) GenAI Frameworks: LangChain, LlamaIndex, Haystack, Semantic Kernel Machine Learning and AI: Snowflake Cortex, TensorFlow, PyTorch AI Engineer: Key Responsiblities: 1. System Development: Designing and building AI models, such as neural networks, that learn from data and mimic human cognitive functions 2. Production Deployment: Transitioning research-level ML models into scalable, operational applications via APIs, microservices, or cloud platforms. 3. Data Handling & Training: Selecting, managing, and training models using large datasets, including natural language processing (NLP) and computer vision tasks. 4. Testing & Optimization: Evaluating accuracy, debugging, and improving AI performance to ensure systems run efficiently. 5. Collaboration: Working with data scientists and software engineers to align AI solutions with business objectives. Required Skills and Qualifications: 1. Programming languages: Strong proficiency in Python, Java, or C++. How to use AI tooling to build up capability. Any UI/API automation framework. 2. ML Frameworks: Experience with TensorFlow, PyTorch, Keras, or Scikit-learn. How to use MCP server. 3. Data & Cloud Tools: Proficiency in SQL, Big Data Technologies, and cloud platforms like AWS SageMaker, Azure ML, or Google Cloud 4. Technical Skills: Expertise in machine learning, deep learning, NLP, computer vision, and algorithm development. 5. Education: Typically requires a Bachelor’s or Master’s degree in Computer Science, Data Science, or a related field.