AI/ML/GEN AI Engineer

Job Description:

• We are seeking a dynamic candidate with expertise in Python Machine Learning Natural Language Processing NLP GenAI techniques
• The ideal candidate should have hands on experience in designing and implementing end to end data science and ML solutions including model productionisation and guiding development teams on ML use case implementation
• A strong background in AI ML solutioning combined with experience in NLP GenAI solutions is highly preferred
• Candidates with experience in Microsoft Copilot Studio will be a great asset to the team

Key Responsibilities:

• Perform data collection profiling exploration data analysis EDA and data preparation
• Apply a range of ML techniques including supervised unsupervised and reinforcement learning
• Design develop and deploy machine learning models using Python and popular ML frameworks
• Implement NLP solutions using NLP techniques like preprocessing tokenization vectorization and semantic analysis
• Develop and deploy GenAI solutions such as RAG systems and Agentic AI
• Monitor model performance in production and implement retraining strategies
• Adhere to and implement Responsible AI principles in all ML workflows
• Present analytical insights to business stakeholders and project teams
• Propose ML based solutions and provide effort estimates for new use cases
• Collaborate with data scientists and engineers on model training evaluation and deployment
• Utilize AI services from cloud platforms such as Azure AWS and GCP

Technical Requirements:

• Strong proficiency in Python for data processing automation and model development
• Deep understanding of ML model lifecycle training evaluation and deployment
• Strong proficiency in Python and ML frameworks e
• g
• TensorFlow PyTorch Scikit learn
• Good to have experience integrating GenAI capabilities into enterprise applications using platforms like Microsoft Copilot Studio
• Good to have experience in monitoring model performance and conduct thorough evaluations using metrics such as Precision Recall F1 Score and BLEU
• Understanding of Responsible AI practices including model fairness transparency and auditability
• Hands on experience with Python based web applications for AI ML use cases
• Solid knowledge of cloud based AI services Azure AWS GCP

Additional Responsibilities:

• Experience with MLOps frameworks for model lifecycle versioning deployment and monitoring such as Azure Machine Learning or AWS Sagemaker
• Experience with Python based web frameworks such as Flask and Django is essential and familiarity with front end technologies like Angular or React
• js is a valuable addition
• Hands on experience in fine tuning large language models LLM using techniques such as LoRA and QLoRA is highly valued
• Experience with Kubernetes docker containerization and Kafka is preferred
• Knowledge on model optimization model distillation quantization is an advantage

Preferred Skills:

Technology->AI-AI Engineering->AI/ML Solution Architecture and Design,Technology->AI-Generative AI->Generative AI - Basic