Data Scientist

Job Description – AI/ML Engineer (GenAI | Agentic AI | Computer Vision | Cloud)

We are looking for passionate and highly skilled AI/ML Engineers to join our growing team and work on next-generation AI solutions across Generative AI, Agentic AI, and Computer Vision domains. This role is ideal for candidates who enjoy solving complex business problems using cutting-edge technologies and building scalable, production-ready AI systems.

As an AI/ML Engineer, you will be responsible for designing, developing, and deploying intelligent applications leveraging Large Language Models (LLMs), AI Agents, Machine Learning, and Computer Vision techniques. You will collaborate closely with cross-functional teams to build innovative solutions that create real business impact.

Key Responsibilities:

• Design and develop scalable AI/ML solutions using Generative AI, Agentic AI, and Computer Vision technologies
• Build intelligent AI agents and workflow automation systems using LLM frameworks
• Develop and optimize machine learning and deep learning models for production environments
• Work on image processing, object detection, OCR, classification, segmentation, and related Computer Vision use cases
• Build and manage end-to-end ML pipelines, model deployment, and monitoring systems
• Integrate AI solutions with cloud ecosystems such as Azure, AWS, or GCP
• Utilize Databricks and modern data platforms for large-scale data processing and model training
• Collaborate with product, engineering, and business teams to translate requirements into AI-driven solutions
• Ensure performance optimization, scalability, reliability, and security of deployed models

Required Skills:

• Strong experience in Python programming and AI/ML development
• Hands-on experience with Generative AI, LLMs, and Agentic AI frameworks
• Experience with Computer Vision libraries and frameworks such as OpenCV, YOLO, TensorFlow, or PyTorch
• Good understanding of machine learning algorithms, deep learning, and MLOps practices
• Experience with cloud platforms such as Azure, AWS, or GCP
• Working knowledge of Databricks and distributed data processing
• Familiarity with APIs, vector databases, RAG pipelines, prompt engineering, and model fine-tuning
• Strong coding, debugging, and problem-solving abilities

Preferred Qualifications:

• Experience with LangChain, CrewAI, AutoGen, Hugging Face, or similar AI frameworks
• Exposure to model deployment tools such as Docker and Kubernetes
• Understanding of CI/CD pipelines and production-grade AI systems
• Excellent communication and stakeholder management skills

Experience:

3–10 Years

Preferred Candidates:

Immediate joiners or candidates currently serving notice period will be preferred.