Senior Data Science Engineer

Role

We are seeking a highly skilled and experienced Senior Data Science & ML Engineer to join our innovative AI team. This role is perfect for a hands-on expert with 4-5 years of experience who is passionate about building intelligent, production-ready AI systems, with a particular emphasis on Generative AI, Large Language Models (LLMs), and Agentic AI.

You will be instrumental in designing, developing, and deploying advanced machine learning solutions across various domains, including Computer Vision and Natural Language Processing. You'll work with the latest tools and techniques to bring state-of-the-art research into practical, scalable applications.

Technical Skills

• Experience with cloud platforms (AWS, Azure, GCP) and their respective AI/ML services (e.g., SageMaker, Azure ML, Vertex AI).
• Familiarity with MLOps tools and practices beyond Docker (e.g., Kubernetes, MLflow, CI/CD pipelines).
• Contributions to open-source projects or relevant publications in AI/ML conferences.
• Knowledge of vector databases (e.g., Pinecone, Weaviate, Milvus).
• Strong communication and collaboration skills, with the ability to explain complex technical concepts to non-technical stakeholders.

Soft Skills

• Work in a team/ Independently.
• Excellent Written & Verbal Communication Skills
• Solid critical thinking and questioning skills.
• High degree of flexibility - willing to fill in the gaps rather than relying on others
• Strong communication skills, especially in presenting data insights.

Flexibility, problem-solving, and a proactive approach in a fast-paced environment

Required Educational Qualification & Relevant Experience

• Experience: 4-5 years of hands-on experience in Data Science, Machine Learning Engineering, or a related field, with a strong portfolio of deployed solutions.
• Programming: Python
• Generative AI & LLMs: Generative AI, LLMs
• AI Orchestration: LangChain, LangGraph, Agentic AI
• LLM Techniques: RAG (Retrieval Augmented Generation), Prompt Engineering, LLM Finetuning
• ML Domains: Natural Language Processing (NLP), Computer Vision
• ML Lifecycle: End-to-end ML Model Lifecycle management
• API Development: Flask, FastAPI
• Containerization: Docker
• Rapid Prototyping: Streamlit
• Problem-Solving: Excellent analytical and problem-solving skills.
• Education: Bachelor's or Master's degree in Computer Science, Data Science, AI, Electrical Engineering, or related quantitative field.

Quadratyx is an equal opportunity employer - we will never differentiate candidates on the basis of religion, caste, gender, language, disabilities or ethnic group. Quadratyx reserves the right to place/move any candidate to any company location, partner location or customer location globally, in the best interest of Quadratyx business.