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Data Scientist and ML Engineer: Cognizant AI Agent HUB

Data Scientist and ML Engineer: Cognizant AI Agent HUB

Cognizant

4 - 12 years

3 - 7 Lacs

chennai

Posted:1 day ago| Platform: GlassDoor logo

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Skills Required

data ml ai developer learning drive design cutting networks autoencoders reinforcement research model experimentation tuning optimization documentation support collaborative development deployment containerization orchestration scalability azure openai vertex aws programming python tensorflow pytorch keras communication collaboration

Work Mode

On-site

Job Type

Part Time

Job Description

Job Description:

Data Scientist and Machine Learning

Exp - 4-12 years

Location - Hyderabad and Chennai

We are seeking a talented and experienced AI & Generative AI Developer to join our team and help us create groundbreaking generative AI models and applications. In this role, you will work closely with our team of data scientists, machine learning engineers, and researchers to develop, implement, and optimize generative LLM and foundational models for various verticals, such as Banking, Retail, Comms, and more. The ideal candidate will have a strong background in artificial intelligence, machine learning, NLP, and deep learning, with a passion for innovation and a drive to push the boundaries of generative AI technologies.

Responsibilities:

Design, develop, and implement cutting-edge generative AI models using state-of-the-art techniques such as General Adversarial Networks (GANs), variational autoencoders (VAEs), and reinforcement learning.

Collaborate with cross-functional teams to define project goals, research requirements, and develop innovative solutions.

Optimize model performance through experimentation, hyperparameter tuning, and advanced optimization techniques.

Stay up-to-date on the latest advancements in generative AI, deep learning, and related fields, and incorporate new techniques and methods into the team's workflow.

Develop and maintain clear and concise documentation of generative AI models, processes, and results.

Communicate complex concepts and results to both technical and non-technical stakeholders.

Provide support and guidance to other team members, and contribute to a positive, collaborative working environment.

Lead the development and deployment of large language models (LLMs) and agentic frameworks such as Autogen or CrewAI.

Oversee cloud deployments, containerization, and orchestration of AI models to ensure scalability and reliability.

Requirements:

Bachelor's or Master's degree in Computer Science, Artificial Intelligence, Machine Learning, or a related field.

Strong background in artificial intelligence, machine learning, NLP, and deep learning, with a focus on generative models.

Technical knowledge and hands-on experience with Azure OpenAI, Google Vertex Gen AI, and AWS LLM foundational models, BERT, Transformers, PaLM, Bard, etc.

Proficiency in programming languages such as Python, and experience (3 - 6 years) with various Python packages (like TensorFlow, PyTorch, or Keras, etc.).

Demonstrated experience with generative AI techniques, including GANs, VAEs, and reinforcement learning.

Strong analytical and problem-solving skills, with the ability to quickly understand and adapt to new concepts and technologies.

Excellent communication and collaboration skills, with the ability to work effectively both independently and as part of a team.

Familiarity with cloud computing platforms such as AWS, Google Cloud, or Azure.

Experience with leading LLMs and agentic frameworks such as Autogen or CrewAI.

Experience with cloud deployments, containerization, and orchestration of AI models.

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Data Scientist and ML Engineer: Cognizant AI Agent HUB