Senior AI/ML Engineer- Senior Data Scientist

Cloudxtreme; Hyderabad, Bengaluru, Delhi; On-site; INR 1,800,000 - 3,000,000; Full time

Job summary

Cloudxtreme in Hyderabad, India seeks a Senior Data Scientist with strong AI/ML expertise to drive end-to-end data science initiatives, from raw data understanding to delivering measurable business impact.

The role requires hands-on ability with Python and Databricks, deep knowledge of AI models, and the capacity to partner with business stakeholders, data engineers, and GenAI specialists to define problems, guide data strategy, and deliver scalable, production-ready AI solutions.

Qualifications

• Experience in selecting AI/ML algorithms, designing features, building and evaluating models.
• Proven ability to derive AI/ML use cases from data even when requirements are unclear.
• Experience delivering generative AI solutions such as copilots, chatbots, and knowledge retrieval systems.

Responsibilities

• Analyze existing structured and unstructured data to assess quality and identify data gaps for model building.
• Identify and derive potential AI/ML use cases from data to guide data strategy and problem definitions.
• Translate data and model outputs into clear business insights and measurable impact; drive AI adoption with stakeholders.
• Mentor junior team members and contribute to AI best practices and enterprise GenAI initiatives.

Skills

AI/ML expertise

Python

Databricks

Generative AI

LLM copilots

Prompt engineering

RAG

Tools

Databricks

Job description

Role & responsibilities

Role Overview: We are seeking a Senior Data Scientist with strong expertise in AI/ML to drive endtoend data science initiatives, from understanding raw data to delivering measurable business impact. The role requires deep knowledge of a wide range of AI models and algorithms and the ability to work handson using Python and Databricks. The candidate will partner closely with business stakeholders, data engineers, and GenAI specialists to define problems, guide data strategy, and deliver scalable, productionready AI solutions.

Data, Use Case & Model Ownership:

The candidate will analyze existing structured and unstructured data to assess quality, identify gaps, and guide clients on the right data required to define and build AI/ML models. A key responsibility is to proactively identify and derive potential AI/ML use cases from the data available, even when requirements are not clearly defined. The role demands strong capability in selecting appropriate AI/ML algorithms, designing features, building and evaluating models, and developing Generative AI solutions such as LLMbased copilots, chatbots, and knowledge retrieval systems using techniques like prompt engineering and RAG.

• Business Impact & Leadership: Beyond model development, the Senior Data Scientist is expected to translate data and model outputs into clear business insights and predict the potential business impact, such as efficiency gains, cost reduction, risk mitigation, or revenue improvement. The role involves communicating recommendations effectively to clients and stakeholders, driving AI adoption, and ensuring solutions are aligned with business objectives. The candidate will also mentor junior team members, contribute to AI best practices, and act as a trusted advisor in shaping enterprise AI and GenAI initiatives.