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AI / ML Engineer

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

Good to have skills : NA

Minimum 12 year(s) of experience is required

Educational Qualification : BE


Summary: Stakeholder management Creation, tracking and reporting of project status by working closely with customer Use the different statistical/ modelling techniques to increase and optimize the business outcomes. Roles & Responsibilities: - Strong understanding of Python data types and Object-oriented programming. - Understanding of the Machine Learning algorithms. (Supervised, Semi-supervised and unsupervised) - Understanding different integrations touch points in ML delivery. - Should anchor Pilot/MVP/Production Machine learning use case delivery for deployments on cloud as well as open source. - Familiar with computer vision and NLP. - Mine and analyze the data using state of the arts methods. Develop and implement custom data models and algorithms to apply to datasets. Professional & Technical Skills: - Collaborative mindset with strong verbal and written communication skills. - Experience to work in Agile and DevOps processes. - Experience in GenAI and machine Learning skills - Good to have experience in the GenAI technologies like Prompt Engineering, Azure openAI models like GPT3.5,GPT4, VectorDB, langchain, etc. - Open to learn newer technologies. Additional Information: - 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.

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