Python Gen AI Developer
Role details
Job location
Tech stack
Job description
- Design, implement, and optimize generative AI models using frameworks like TensorFlow, PyTorch, or JAX. This includes working with architecture like Generative Adversarial Networks (GANs), Variational Autoencoders (VAEs), and Large Language Models (LLMs)
- Research and implement machine learning algorithms and tools
- Integrate generative AI models into production systems and applications, often involving APIs, microservices, and cloud platforms (AWS, Azure, Google Cloud Platform).
- Manage and direct research and development processes to meet the needs of our AI strategy
- Develop machine learning applications in alignment with project requirements and business goals
- Perform machine learning tests and statistical analysis to fine-tune the machine learning systems
- Select appropriate datasets and data representation methods
- Extend existing machine learning libraries and frameworks
- Train systems and retrain as necessary
- Work with the engineering and leadership teams on the functional design, process design, prototyping, testing, and training of AI/ML solutions
Requirements
- Overall 5+ years of experience.
- 3+ Years of strong Python coding skills and python libraries (like NumPy, Pandas etc.)
- 2+ Years of solid understanding of generative AI models (GANs, VAEs, LLMs) and their underlying principles
- Strong experience in using Neo4J, Mongo DB
- Experience on any of the Python web development frameworks (FastAPI, Flask, Django)
- Experience in working as part of scrum team with knowledge of related ceremonies.
- Strong communication skills.
- Understanding and experience on Gen AI implementations
- Experience on Langchain, Vector DB, Embeddings or related frameworks
- Experience on AI/ML model implementations using scikit learn, Tensor flow etc.,
- Experience with Chat, IVR, Banking will be plus
- Google Cloud (Google Cloud Platform) knowledge
- About NTT DATA Services
Benefits & conditions
Where required by law, NTT DATA provides a reasonable range of compensation for specific roles. The starting hourly range for this remote role is $50 to $62. This range reflects the minimum and maximum target compensation for the position across all US locations. Actual compensation will depend on several factors, including the candidate''s actual work location, relevant experience, technical skills, and other qualifications.
This position is eligible for company benefits that will depend on the nature of the role offered. Company benefits may include medical, dental, and vision insurance, flexible spending or health savings account, life, and AD&D insurance, short-and long-term disability coverage, paid time off, employee assistance, participation in a 401k program with company match, and additional voluntary or legally required benefits.