AI Developer

- Ability to face customer as AI expert, assisting in client consultations. - - Own the solutioning process, Align AI projects with client requirements. - - Drive the development of AI and ML solutions that address business problems. - - Collaborate with development teams and solution architects to develop and integrate AI solutions. - - Monitor and evaluate the performance and impact of AI and ML solutions and ensure continuous improvement and optimization. - - Design and develop AI/ML models to solve complex business problems using supervised, unsupervised, and reinforcement learning techniques.. - - Build, train, and evaluate machine learning pipelines, including data preprocessing, feature engineering, and model tuning. - - Establish and maintain best practices and standards for architecture, AI and ML models, innovation, and new technology evaluation. - - Collaborate with software developers to integrate AI capabilities into applications and workflows - - Develop APIs and microservices to serve AI models for real-time or batch inference. - - Foster a culture of innovation and collaboration within the COE, across teams and provide mentorship/guidance to the team members. - - Implement responsible AI practices, including model explainability, fairness, bias detection, and compliance with ethical standards. - - Experience in deploying AI models into production environments using tools like TensorFlow Serving, TorchServe, or container-based deployment (Docker, Kubernetes) Qualifications - - 3+ years of experience in AI and ML projects. - - Proven track record of delivering successful AI and ML solutions that address complex business problems. - - Expertise in design, development, deployment and monitoring of AI ML solutions in production. - - Proficiency in various AI and ML techniques and tools, such as deep learning, NLP, computer vision, ML frameworks, cloud platforms, etc. - - 1+ year experience in building Generative AI applications leveraging Prompt Engineering and RAG - - Preference to candidates with experience in Agentic AI, MCP and A2A (Agent2Agent) protocol. - - Strong leadership, communication, presentation and stakeholder management skills. - - Ability to think strategically, creatively and analytically, and to translate business requirements into AI and ML solutions. - - Passion for learning and staying updated with the latest developments and trends in the field of AI and ML. - - Demonstrated commitment to ethical and socially responsible AI practices Skills: Ml, Ai Experience: 3.00-5.00 Years