Data Scientist - Product Development

BMC Software; Pune District; On-site; INR 2,557,000 - 3,125,000; Full time

Job summary

BMC Software seeks an Experienced Data Scientist to join the IZOT team in India. You will lead end-to-end data science tasks for the BMC AMI product, building predictive models and deploying AI solutions while collaborating with domain experts to align with business goals.

Ideal candidates have 5+ years in Data Science, strong ML/Gen AI experience, and proficiency in Python, ML frameworks, and cloud platforms. The role emphasizes governance, performance metrics, and production deployment.

Qualifications

• Bachelor's degree in Computer Science, Engineering, or related field.
• 5+ years of Data Science experience with ML and Generative AI.
• Experience with LLMs (OpenAI, Anthropic, Gemini, Llama, etc.).
• Hands-on with prompt engineering, RAG, LLM evaluation, and AI apps.
• Experience with LangGraph, LangChain, or CrewAI.
• Proficient in Python and data science libraries.
• Experience with SQL and data platforms; backend API development.

Responsibilities

• Design and develop ML and Generative AI solutions for complex business problems.
• Apply prompt engineering, RAG, and LLM evaluation in end-to-end AI apps.
• Collaborate with domain experts to translate requirements into data-driven solutions.
• Deliver enterprise-grade, validated AI models and documentation.
• Deploy models in production and optimize within mainframe-adjacent environments.
• Explain complex analytics to technical and non-technical audiences.

Skills

Machine Learning

Generative AI

Prompt engineering

RAG

LLM evaluation

LangGraph

LangChain

CrewAI

Python

Pandas

NumPy

scikit-learn

PyTorch

TensorFlow

SQL

FastAPI/Flask

Data visualization

OpenShift (OCP)

AWS

Education

Bachelor's degree in Computer Science or Engineering

Tools

LangGraph

LangChain

CrewAI

Jira

Confluence

Langfuse

OpenTelemetry

Vector databases

MLflow

Kubeflow

Job description

BMC empowers nearly 80% of the Forbes Global 100 to accelerate business value, faster than humanly possible. Our industry-leading portfolio unlocks human and machine potential to drive business growth, innovation, and sustainable success. BMC does this in a simple and optimized way by connecting people, systems, and data that power the worlds largest organizations so they can seize a competitive advantage.

The IZOT product line includes BMCs Intelligent Z Optimization Transformation products, which help the worlds largest companies to monitor and manage their mainframe systems. The modernization of mainframe is the beating heart of our product line, and we achieve this goal by developing products that improve the developer experience, the mainframe integration, the speed of application development, the quality of the code and the applicationssecurity, while reducing operational costs and risks. We acquired several companies along the way, and we continue to grow, innovate, and perfect our solutions on an ongoing basis.

BMC is looking for an Experienced Data Scientist to join our amazing IZOT team, responsible for development of the BMC AMI product. In this role, you will be responsible for End-to-end design and execution of BMC Data Science tasks, including development of predictive and quantitative models, deploy completed solutions. You will provide expertise and recommendations for plans, programs, advance analysis, strategies, and policies.

Here is how, through this exciting role, YOU will contribute to BMC''s and your own success:

Machine Learning Generative AI Development (core focus)

• Design and develop Machine Learning and Generative AI solutions for complex business problems, applying statistical analysis, data mining, and machine learning techniques.
• Apply prompt engineering, RAG, and LLM evaluation in end to end AI application development.
• Work on complex problems where analysis of situations or data requires an in depth evaluation of several factors.
• Collaborate with domain experts to understand business requirements and formulate data driven solutions.

Evaluation, Governance Enterprise Grade Quality

• Deliver solutions to enterprise grade quality standards: rigorous, validated, reproducible, and ready for mission critical use.
• Define and implement evaluation frameworks for agent accuracy, task completion, reliability, and user satisfaction.
• Develop benchmarks, test datasets, and performance metrics for agentic AI systems.
• Contribute to AI governance, model validation, and continuous improvement initiatives.

Model Optimization Deployment

• Implement strategies for model optimization, considering the constraints and requirements of mainframe environments.
• Support packaging and deployment of models and AI solutions into production environments.

Collaboration Communication

• Explain complex technical concepts and predictive analytics clearly to both technical and non technical audiences.
• Contribute to code reviews, technical documentation, and best practices.

To ensure youre set up for success, you will bring the following skillset experience:

Education Experience

• Bachelor's degree in Computer Science, Engineering, or a related field.
• 5+ years of Data Science experience, with proven expertise in Machine Learning and Generative AI.

Generative AI LLMs

• Experience working with Large Language Models (OpenAI, Anthropic, Gemini, Llama, or equivalent), with familiarity across different LLM architectures.
• Hands on experience with prompt engineering, Retrieval Augmented Generation (RAG), LLM evaluation, and AI application development.
• Experience designing performance metrics and evaluation frameworks for AI/ML systems.
• Familiarity with agentic frameworks and agent based workflows using LangGraph, LangChain, or CrewAI.

Data Science Programming

• Strong proficiency in Python and data science libraries such as Pandas, NumPy, scikit-learn, and PyTorch or TensorFlow.
• Strong knowledge of statistical analysis, hypothesis testing, data mining, and machine learning techniques.
• Experience querying and analyzing data using SQL and modern data platforms.
• Familiarity in writing Python backend APIs using FastAPI, Flask, or similar frameworks.
• Proficiency in data exploration and data visualization techniques and tools.
• Familiarity with cloud platforms such as OpenShift (OCP) and AWS.

Experience with LLM evaluation and observability tooling such as Langfuse, OpenTelemetry based stacks.

Experience with vector databases and embedding models for retrieval and semantic search.

Experience with MLOps practices such as experiment tracking, model registries, and pipelines (MLflow or Kubeflow).

Experience with fine tuning and open weight models such as Llama, Mistral, and Qwen.

Experience with Agile methodology and Atlassian products (Jira, Confluence).

Our commitment to you!

BMCs culture is built around its people. We have 6000+ brilliant minds working together across the globe. You wont be known just by your employee number, but for your true authentic self. BMC lets you be YOU!

If after reading the above, Youre unsure if you meet the qualifications of this role but are deeply excited about BMC and this team,

BMC is committed to equal opportunity employment regardless of race, age, sex, creed, color, religion, citizenship status, sexual orientation, gender,gender expression,gender identity, national origin, disability, marital status, pregnancy, disabled veteran or status as a protected veteran.

BMC Software maintains a strict policy of not requesting any form of payment in exchange for employment opportunities, upholding a fair and ethical hiring process.

At BMC we believe in pay transparency and have set the midpoint of the salary band for this role at 2,841,000 INR. Actual salaries depend on a wide range of factors that are considered in making compensation decisions, including but not limited to skill sets; experience and training, licensure, and certifications; and other business and organizational needs.

The salary listed is just one component of BMC's employee compensation package. Other rewards may include a variable plan and country specific benefits.

We are committed to ensuring that our employees are paid fairly and equitably, and that we are transparent about our compensation practices.