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Job Description & How to Apply Below
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, Tensor Flow, or Py Torch
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 Lang Chain, CrewAI, Auto Gen, 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.
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