AI Technical Delivery Lead/AI/ML Engineer/Manager/Data Scientist

Role: AI Technical Delivery Lead

- Total 12+ yrs in Analytics/AI Delivery Mgmt.

- Must have around 3-+ yrs of NLP/ Machine Learning Exp

- Must have yr of Cloud exp as mentioned (AWS/Azure)

- Must have Python - 4+ yrs

- Good to have 2yrs of LLM Exp

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/NLP/LLM/Computer vision

Experience - Min12 year(s) of experience is required

Educational Qualification : 15 years full time education

Summary:

As an AI / ML Engineer, you will engage in the development of applications and systems that leverage artificial intelligence tools and cloud AI services.

- Your typical day will involve designing and implementing production-ready solutions, ensuring that they meet quality standards.

- You will work with various AI models, including generative AI, deep learning, and neural networks, while also exploring innovative applications such as chatbots and image processing. Collaboration with cross-functional teams will be essential to integrate these solutions effectively into existing systems and pipelines.

Roles & Responsibilities:

- Expected to be an SME.

- Collaborate and manage the team to perform.

- Responsible for team decisions.

- Engage with multiple teams and contribute to key decisions.

- Expected to provide solutions to problems that apply across multiple teams.

- Facilitate knowledge sharing and mentoring within the team to enhance overall performance.

- Continuously evaluate and improve existing processes and systems to optimize efficiency.

Professional & Technical Skills:

- Must To Have Skills: Proficiency in Machine Learning.

- Strong understanding of various machine learning algorithms and their applications.

- Experience with cloud-based AI services and deployment strategies.

- Familiarity with data preprocessing and feature engineering techniques.

- Ability to work with frameworks such as TensorFlow or PyTorch.

Additional Information:

- The candidate should have experience in Machine Learning.

- A 15 years full time education is required.