Senior Data Scientist

Nxtwave Disruptive Technologies (Hiring for a client); Bengaluru; Hybrid; INR 1,500,000 - 2,500,000; Full time

Job summary

Nxtwave Disruptive Technologies (Hiring for a client) is seeking an AI/ML Engineer to work on cutting-edge data science, ML, and Generative AI across industries. You will collaborate with clients and stakeholders to understand business challenges and build scalable AI/ML solutions.

The role focuses on production deployment, experimentation, and responsible AI practices, with emphasis on building enterprise-ready AI systems and integrating them into products and APIs.

Qualifications

• Strong Python and ML framework experience.
• Deep understanding of ML/DL and Generative AI.
• Experience with LLMs and Foundation Models.
• Knowledge of RAG, Knowledge Graphs, and multi-agent systems.
• Experience deploying AI solutions to production.
• Ability to translate business problems into AI solutions.

Responsibilities

• Architect, develop, and deploy ML models and AI solutions into production environments.
• Partner with data scientists to convert ML prototypes into scalable, enterprise-ready applications.
• Design and implement enterprise AI solutions using LLMs, RAG, Knowledge Graphs, and Multi-Agent Systems.
• Integrate AI/ML models into existing products, APIs, and enterprise applications.
• Perform experimentation, model fine-tuning, validation, and error analysis to improve model accuracy and reliability.
• Monitor, maintain, and retrain deployed models to ensure optimal performance.
• Work with stakeholders to understand business requirements and translate them into effective AI-driven solutions.
• Stay updated with the latest developments in AI/ML, Generative AI, MLOps, and cloud-native AI technologies.
• Follow responsible AI and ethical AI practices throughout the AI development lifecycle.
• Collaborate with cross-functional teams including data scientists, engineers, product teams, and business stakeholders.

Skills

Python

ML concepts

Deep Learning

Generative AI

LLMs

Prompt Engineering

RAG

Knowledge Graphs

Multi-Agent Systems

Production-ready ML

Education

Bachelor's/Master's in CS/ML

Tools

LangGraph

AutoGen

OpenAI SDK

Docker

Kubernetes

Spark

Hugging Face

Job description

About the Role

We are looking for an AI / Machine Learning Engineer to work on cutting-edge data science, machine learning, and Generative AI problems across multiple industries. The role involves working closely with clients and stakeholders to understand business challenges and develop scalable AI/ML solutions for complex, unstructured problems.

Key Responsibilities

• Architect, develop, and deploy machine learning models and AI solutions into production environments.
• Partner with data scientists to convert ML prototypes into scalable, enterprise-ready applications.
• Design and implement enterprise AI solutions using LLMs, RAG, Knowledge Graphs, and Multi-Agent Systems.
• Integrate AI/ML models into existing products, APIs, and enterprise applications.
• Perform experimentation, model fine-tuning, validation, and error analysis to improve model accuracy and reliability.
• Monitor, maintain, and retrain deployed models to ensure optimal performance.
• Work with stakeholders to understand business requirements and translate them into effective AI-driven solutions.
• Stay updated with the latest developments in AI/ML, Generative AI, MLOps, and cloud-native AI technologies.
• Follow responsible AI and ethical AI practices throughout the AI development lifecycle.
• Collaborate with cross-functional teams including data scientists, engineers, product teams, and business stakeholders.

Mandatory Skills

• Strong programming skills in Python.
• Hands-on experience with machine learning frameworks such as TensorFlow, PyTorch, and scikit-learn.
• Strong understanding of Machine Learning, Deep Learning, and Generative AI concepts.
• Experience working with LLMs and Foundation Models such as OpenAI, Hugging Face, Anthropic, etc.
• Experience with Prompt Engineering and LLM application development.
• Hands-on experience with GenAI frameworks/tools such as:
  • LangGraph
  • AutoGen
  • OpenAI SDK
• Understanding of Retrieval-Augmented Generation (RAG) and LLM-based applications.
• Strong analytical, problem-solving, and data interpretation skills.
• Ability to work in a fast-paced, deadline-driven environment.
• Strong ownership, learning ability, and passion for technology.

Good to Have / Nice-to-Have Skills

• Experience with MLOps tools and practices:
  • MLflow
  • Kubeflow
  • Airflow
  • Docker
  • Kubernetes
• Experience with Big Data technologies such as:
  • Apache Spark
  • Hadoop
  • Databricks
• Exposure to Responsible AI, AI governance, bias detection, and model fairness.
• Contributions to open-source AI/ML projects.
• Experience deploying AI/ML solutions on cloud platforms.