AI | ML Engineer

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 : Natural Language Processing (NLP)

Good to have skills : NA

Minimum 5 Year(s) Of Experience Is Required

Educational Qualification : BE

Summary: As an AI/ML & Python Engineer, you will be responsible for developing applications and systems that utilize AI tools and Cloud AI services. Your typical day will involve applying GenAI models, developing deep learning and neural network models, and working with chatbots and image processing. Roles & Responsibilities: - Develop and deploy AI models using Python & Natural Language Processing (NLP) techniques. - Design and implement cloud-based AI solutions with proper application pipelines and production-ready quality. - Apply GenAI models as part of the solution, including deep learning, neural networks, chatbots, and image processing. - Collaborate with cross-functional teams to integrate AI solutions into existing systems and applications. - Stay updated with the latest advancements in AI and machine learning, integrating innovative approaches for sustained competitive advantage. Professional & Technical Skills: - Must To Have Skills: Proficiency in Python & Natural Language Processing (NLP) techniques. - Good To Have Skills: Experience with deep learning, neural networks, chatbots, and image processing. - Strong understanding of cloud-based AI solutions and application pipelines. - Experience with cloud AI services such as AWS, Azure, or Google Cloud. - Experience with programming languages such as Python, Java, or C++. - Solid grasp of data munging techniques, including data cleaning, transformation, and normalization to ensure data quality and integrity. Additional Information: - The candidate should have a minimum of 5 years of experience in Natural Language Processing (NLP) techniques. - The ideal candidate will possess a strong educational background in computer science, mathematics, or a related field, along with a proven track record of delivering impactful AI-driven solutions.

BE