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Job Views:  
6
Applications:  3
Recruiter Actions:  0

Posted in

GenAI

Job Code

1652565

Senior Gen AI Developer with Python

Work Location : Bangalore, Hybrid

Experience ( Relevant) : 1+ Year (10 years total)

Rate Card : As per market rate

Shift Timings : UK Shift

Remote / Hybrid : Hybrid

Start date : Immediate

YOE: 6 to 15 years


Top 3 skills which is mandatory:


- Developing AI/ML applications on prediction, recommendation, text analytics, computer vision, bots, and content intelligence.

- Advanced statistical techniques and concepts

- Deep knowledge of ML frameworks such as TensorFlow, PyTorch, Keras, Spacy, and scikit-learn.

- As a GenAI Professional with NTT DATA, you will be at the forefront of innovation, leveraging your skills to design and implement cutting-edge AI solutions. With a focus on creativity, collaboration, and technical excellence, this role offers a unique opportunity to work on transformative projects that drive business intelligence and decision-making across diverse industries available to work in hybrid mode out of Bengaluru location

Key Responsibilities:

- Exercise expertise in ideating and developing AI/ML applications on prediction, recommendation, text analytics, computer vision, bots, and content intelligence.

- Apply statistical skills and advanced statistical techniques and concepts.

- Demonstrate deep knowledge of ML frameworks such as TensorFlow, PyTorch, Keras, Spacy, and scikit-learn.

- Leverage advanced knowledge of Python open-source software stack such as Django or Flask, Django Rest or FastAPI, etc.

- Deep knowledge in statistics and Machine Learning models, deep learning models, NLP, Generative Adversarial Networks (GAN), and other generative models.

- Experience working with RAG technologies and LLM frameworks, LLM model registries (Hugging Face), LLM APIs, embedding models, and vector databases

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

- Display proficiency in programming languages such as Python and understanding of various Python packages. Experience with TensorFlow, PyTorch, or Keras.

- Develop and implement GenAI solutions, collaborating with cross-functional teams, and supporting the successful execution of AI projects for a diverse range of clients.

- Assist in the design and implementation of GenAI use cases, projects, and POCs across multiple industries.

- Work on RAG models and Agents Frameworks to enhance GenAI solutions by incorporating relevant information retrieval mechanisms and frameworks

- Create and maintain data infrastructure to ingest, normalize, and combine datasets for actionable insights.

- Work closely with customers to understand their requirements and deliver customized AI solutions.

- Interact at appropriate levels to ensure client satisfaction and project success.

- Communicate complex technical concepts clearly to non-technical audiences.

- Conduct training sessions to enhance overall data science skills within the organization.

Basic Qualifications:

- 1+ years of experience:

- Architecting high-impact GenAI solutions for diverse clients with At least 2 projects having agents /agentic rag and integration with biz systems - exposure to MCP integration with enterprise applications.

- Enterprise scale solution design eg multii threading on vector db, integration with LLM

- Exposure to emerging tech and biz trends in AI / Agentic RAG based capabilities etc

- Exposure to predictive modelling, ANN additional plus

- 8+ year(s) of experience participating in projects that focused on one or more of the following areas:

- Predictive Analytics

- Data Design

- Generative AI

- AI/ML

- ML Ops

- 3+ years of experience using Python.

- Ability to travel at least 25%.

- Bachelor's Degree required.

Preferred Skills:

- Preferably worked with hyperscaler based products eg bedrock, opensearch (and/or OpenAI Foundry, cosmos db) ) - else experienced in deploying other open-source integrated stack on cloud

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Job Views:  
6
Applications:  3
Recruiter Actions:  0

Posted in

GenAI

Job Code

1652565

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