AI / ML Engineer

Job Description

Job Description Project Role : AI / ML Engineer Project Role Description : Develops applications and systems that utilize AI tools, Cloud AI services, with proper cloud or on-prem application pipeline with production ready quality. Be able to apply GenAI models as part of the solution. Could also include but not limited to deep learning, neural networks, chatbots, image processing. Must have skills : Machine Learning Operations Good to have skills :NA Minimum5year(s) of experience is required Educational Qualification :15 years full time education Job Summary: As an AI/ML Engineer , you will be responsible for developing and implementing applications and systems that leverage cutting-edge AI tools and Cloud AI services. Your work will involve building production-ready application pipelines, utilizing Generative AI (GenAI) models, and incorporating advanced techniques such as deep learning, neural networks, chatbots, and image processing. Join our team to be part of innovative AI projects and contribute to the future of AI/ML technologies. Roles & Responsibilities: Expected to be an SME (Subject Matter Expert) in AI/ML technologies, guiding and mentoring the team. Collaborate and manage the team to perform effectively, ensuring high-quality deliverables. Engage with multiple teams to contribute to key decisions and problem-solving efforts across the organization. Provide solutions to technical challenges , leveraging AI and ML technologies to improve processes and applications. Collaborate with stakeholders to gather and understand project requirements and objectives. Design and develop AI/ML applications and systems using Cloud AI services to deliver impactful solutions. Implement and optimize machine learning algorithms and models for various business needs. Ensure quality and performance of AI applications through rigorous testing, debugging, and optimizations. Stay up-to-date with the latest advancements in AI/ML technologies, tools, and industry trends. Contribute to documentation and knowledge-sharing efforts within the team to foster continuous learning and improvement. Professional & Technical Skills: Must-Have Skills: Proficiency in Machine Learning Operations (MLOps). Experience with cloud-based AI tools and services (e.g., AWS AI, Azure AI, Google Cloud AI). Strong understanding of deep learning , neural networks , and image processing . Hands-on experience with chatbot development , utilizing frameworks and AI models. Solid knowledge of data preprocessing and feature engineering techniques . Good-to-Have Skills: Experience with Natural Language Processing (NLP) techniques. Familiarity with big data technologies and distributed computing frameworks . Experience with containerization and orchestration tools like Docker and Kubernetes . Additional Information: The candidate should have a minimum of 5 years of experience in Machine Learning Operations . A 15 years full-time education is required.