Data Scientist - Product Development

BMC Software, Inc.; Maharashtra; Hybrid; INR 2,500,000 - 3,000,000; Full time

Job summary

BMC Software, Inc. is seeking an Experienced Data Scientist to join the IZOT team. You will design and deploy predictive models, GenAI solutions, and end-to-end data science workflows for the BMC AMI product line.

The role emphasizes evaluation, governance, and enterprise-grade quality, with collaboration across technical and business teams in a hybrid environment.

Qualifications

• Bachelor's degree in Computer Science, Engineering, or a related field.
• 5+ years of Data Science experience with ML & Generative AI.

Responsibilities

• Design and develop ML/Generative AI solutions for complex business problems.
• Apply prompt engineering, RAG, and LLM evaluation in end-to-end AI applications.
• Collaborate with domain experts to translate business requirements into data-driven solutions.
• Define evaluation frameworks for agent accuracy and reliability.

Skills

Python

Pandas

NumPy

scikit-learn

PyTorch

TensorFlow

SQL

FastAPI/Flask

OpenShift/AWS

LLMs

Prompt engineering

LangChain

Education

Bachelor's degree in Computer Science, Engineering, or related field

Tools

LangGraph/LangChain/CrewAI

MLflow/Kubeflow

Job description

You may occasionally be required to travel for business

Secondary locations:

Looking for details about our benefits? You can learn more about them by clicking HERE

Description and Requirements

CA-SB

Hybrid: #LI-Hybrid

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 world’s largest organizations so they can seize a competitive advantage.

The IZOT product line includes BMC’s Intelligent Z Optimization & Transformation products, which help the world’s 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 applications’ security, 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 you’re 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.

Whilst these are nice to have, our team can help you develop in the following skills:

• 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!

BMC’s culture is built around its people. We have 6000+ brilliant minds working together across the globe. You won’t be known just by your employee number, but for your true authentic self. BMC lets you be YOU!

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. If you need a reasonable accommodation for any part of the application and hiring process, visit the accommodation request page.

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.

We use AI technology to support parts of our recruitment process, but people—not algorithms—make all final hiring decisions. AI may assist with tasks like scheduling, screening for role alignment, or helping us manage large volumes of applications more efficiently. However, candidates are reviewed by a member of our recruitment team, and interviews and hiring decisions are always made by people. We’re committed to ensuring that technology enhances fairness, efficiency, and the candidate experience—never replaces genuine human judgment.

( Returnship@BMC )