AI/ML & Generative AI Engineer

Job highlights

• . 3+ years of experience using Python . and relevant packages for ML and data science
• . Hands-on experience with cloud-based AI platforms,including Azure OpenAI,Google Vertex Gen AI,and AWS AI services

Job Summary:

We are seeking a highly skilled and motivated AI/ML Generative AI Engineer to join our growing team. This role requires deep expertise in artificial intelligence and machine learning with a particular focus on Generative AI, LLMs, NLP , and Recommendation Predictive Modelling . The ideal candidate will have experience developing innovative AI solutions using modern frameworks and cloud-based tools, working across cross-functional teams, and delivering high-impact AI/ML applications for diverse industries.

Key Responsibilities:

• Develop, and implement AI/ML and Generative AI solutions across various domains, including prediction systems, recommendation engines, text analytics, computer vision, chatbots, and content intelligence platforms.
• Build and deploy advanced ML models using frameworks such as TensorFlow, PyTorch, Keras, Spacy , and scikit-learn .
• Apply deep knowledge of statistics, machine learning, NLP, and generative models including GANs and transformers .
• Work with RAG (Retrieval-Augmented Generation) techniques and tools including Langchain , LlamaIndex , and vector databases like FAISS and Milvus .
• Integrate and manage LLM APIs and registries (e.g., Hugging Face, OpenAI, Google Vertex AI, AWS Bedrock).
• Build scalable APIs using Python frameworks such as Flask, Django, Django Rest Framework , or FastAPI .
• Collaborate with cross-functional teams to design and implement end-to-end AI pipelines, from data ingestion to model deployment and monitoring.
• Support the development of GenAI use cases, prototypes, and POCs tailored to specific industry requirements.
• Maintain and enhance data infrastructure for collecting, cleaning, and analysing large-scale datasets.
• Communicate technical concepts clearly and effectively with both technical and non-technical stakeholders.
• Engage with clients to understand business needs and deliver customized AI/ML solutions that drive value.
• Demonstrate innovation in Private AI and Smart Agent Solutions , ensuring data privacy and intelligent automation.
• Stay current with trends and advancements in AI, GenAI, LLMs, and related fields.
• Contribute to the development of frameworks, capabilities, and features for NTT DATA s global GenAI platform and TechHub.

Minimum Qualifications:

• 3+ years of experience using Python and relevant packages for ML and data science.
• 2+ years of experience in delivering impactful GenAI solutions , preferably in Private AI and Smart Agentic Systems .
• 5+ years of experience in one or more of the following areas:
  • Predictive Analytics
  • Machine Learning and Deep Learning
  • Generative AI
  • Data Design
  • ML Ops / AI Infrastructure
• Strong understanding of LLM technologies , embedding models , cloud-based AI services , and AI/ML operations .
• Hands-on experience with cloud-based AI platforms , including Azure OpenAI , Google Vertex Gen AI , and AWS AI services .

Soft Skills:

• Strong problem-solving skills and critical thinking.
• Effective communicator capable of translating complex AI topics to stakeholders.
• Self-driven, collaborative, and adaptable to fast-paced environments.