Associate AI-ML Engineer

AI/ML Engineer Job Summary

We are seeking a highly motivated AI/ML Engineer to join our growing Artificial Intelligence and Automation team. The ideal candidate will have a strong foundation in Machine Learning Generative AI Python development and data-driven problem solving. This role provides an excellent opportunity to work on cutting-edge AI initiatives including Large Language Models (LLMs) Agentic AI systems Retrieval-Augmented Generation (RAG) MLOps Intelligent Automation and AI-powered enterprise solutions.

The candidate will collaborate with cross-functional teams to design develop deploy and optimize AI solutions that drive business value across multiple domains.

Key Responsibilities

• Develop and implement Machine Learning and Generative AI solutions to solve business challenges.
• Build test and optimize AI models using Python and modern AI/ML frameworks.
• Design and develop Retrieval-Augmented Generation (RAG) applications using enterprise knowledge sources.
• Assist in developing AI Agents and multi-agent workflows using frameworks such as LangChain LangGraph CrewAI or similar technologies.
• Perform data preparation feature engineering model training evaluation and performance monitoring.
• Support deployment and operationalization of AI models using MLOps best practices.
• Integrate AI solutions with enterprise applications APIs databases and cloud platforms.
• Collaborate with business stakeholders developers and data teams to gather requirements and deliver AI-driven solutions.
• Conduct research on emerging AI technologies tools and frameworks and recommend innovative solutions.
• Create technical documentation test cases and deployment artifacts for developed solutions.
• Participate in code reviews knowledge-sharing sessions and continuous improvement initiatives.

Required Qualifications

• Bachelors degree in Computer Science Information Technology Artificial Intelligence Data Science or related field.
• 0-2 years of experience in AI Machine Learning Data Science Software Development or related areas.
• Strong programming skills in Python.
• Understanding of Machine Learning concepts including supervised and unsupervised learning.
• Familiarity with Generative AI and Large Language Models (LLMs).
• Knowledge of data structures algorithms and software engineering fundamentals.
• Basic understanding of REST APIs databases and cloud technologies.
• Strong analytical and problem-solving skills.
• Excellent communication and collaboration abilities.

Preferred Skills

• Experience with Python libraries such as Pandas NumPy Scikit-learn TensorFlow PyTorch or Hugging Face.
• Exposure to LLM platforms such as OpenAI Anthropic Claude Azure OpenAI Gemini or similar.
• Familiarity with LangChain LangGraph CrewAI AutoGen or agentic AI frameworks.
• Understanding of Vector Databases and Retrieval-Augmented Generation (RAG).
• Knowledge of MLOps concepts including MLflow model deployment monitoring and CI/CD practices.
• Exposure to cloud platforms such as Azure AWS or Google Cloud.
• Understanding of Git Docker and containerized deployments.
• Experience working on AI-related academic internship personal or open-source projects.

What Youll Gain

• Hands-on experience with enterprise-scale AI and Automation initiatives.
• Opportunity to work on Generative AI Agentic AI and next-generation AI technologies.
• Exposure to cloud-native AI solutions and MLOps practices.
• Mentorship from experienced AI and technology leaders.
• Opportunity to contribute to impactful business transformation programs through AI innovation.