AI Engineer will be responsible for designing, developing, and deploying AI and Machine Learning solutions, with a focus on NLP and Computer Vision. The role involves building and optimizing ML models, analyzing complex datasets, developing ML pipelines, and collaborating with cross-functional teams to deliver innovative, data-driven solutions that support business objectives.
Responsibilities:
• Gather, analyse, and translate business requirements into AI and Agentic AI solutions.
• Design, develop, test, deploy, and maintain AI-powered applications and intelligent agents.
• Develop Agentic AI workflows capable of reasoning, planning, task execution, and orchestration.
• Build and integrate Large Language Model (LLM), Retrieval-Augmented Generation (RAG), and multi-agent solutions.
• Integrate AI solutions with enterprise systems, APIs, databases, both cloud services and on-premises.
• Optimize AI models, prompts, workflows, and overall solution performance.
• Ensure AI solutions comply with security, governance, privacy, and responsible AI standards.
• Prepare technical documentation, deployment guides, and knowledge transfer materials.
• Provide technical support, troubleshooting, and continuous enhancements.
• All use cases must be on-prem with local models and on-prem tools.
Requirements:
• Bachelor's degree or higher in Computer Science, Mathematics, Statistics, Data Science, or a related field.
• 2-3 years of experience in Machine Learning model design and implementation.
• Strong proficiency in Python and ML/DL frameworks such as PyTorch, Transformers, LiteLLM, Scikit-learn, and MLflow.
• Deep understanding of Classical Machine Learning, Deep Learning, and NLP techniques.
• Experience with data processing and ETL processes.
• Familiarity with workflow orchestration tools such as Prefect and Apache Airflow.
• Ability to interpret and implement ML techniques from research papers.
• Strong communication and collaboration skills.
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