Job Title – Senior Data Scientist & Machine Learning Engineer

Location – HYD

Experience - 7-10 Years

Work Mode - Hybrid (4 Days a Week from Office, 1 Day from Home)

Employment Type – Full Time

Role Summary

As a Senior Data Scientist & Machine Learning Engineer, you will design, build, and operationalize AI solutions across multiple domains, including data science initiatives, and projects requiring the

development and training of custom Machine Learning and Deep Learning models. You will play a key role in ensuring solutions are accurate, explainable, and ready for production use.

Key Responsibilities

• Translate business problems into data science, data-driven, and AI solutions

• Move models from PoC to production in collaboration with engineering teams

• Ensure model performance, robustness, and explainability

• Analyze data, define features, and select appropriate evaluation metrics

• Design, develop, and validate machine learning, and deep learning solutions

• Support maintenance, monitoring, and continuous improvement of models

Required Skills & Experience

Technical Skills

• Strong experience in data science, machine learning, and deep learning, including exploratory

analysis and statistical modeling

• Proficiency in Python and common Data Science and ML libraries

• Experience in time-series analysis and/or forecasting

• Experience with model evaluation and validation techniques

• Understanding of responsible and explainable AI concepts

Professional Experience

• Min 6 years of experience as a Data Scientist and/or ML Engineer

• Proven experience delivering production-grade AI solutions

• Experience working in cross-functional teams with engineers and business stakeholders

• Comfortable working across multiple projects and domains

Nice to Have

• Experience with Generative AI use cases

• Experience integrating AI solutions into applications

• Experience working with large or heterogeneous datasets

• Experience in enterprise environments

• Familiarity with cloud-based ML platforms

Time Zone – Selected candidate is required to work as per:

• India Time (IST) / European Time (CET/GMT) / Americas Time Zone (EST)

ArcelorMittal's Equal Opportunity Statement

ArcelorMittal's equal opportunity statement is a reflection of their commitment to creating a safe and inclusive workplace where everyone feels welcomed, valued, respected, and heard. The company's journey to build a diverse and inclusive workplace is guided by their longstanding belief in Our Strength is People®. They are focused on enhancing their Diversity and Inclusion commitment with a strong sense of purpose and resolve to evolve into a more diverse and inclusive organization. ArcelorMittal's commitment to diversity and inclusion extends to all areas of their business, including recruitment, job assignment, talent development, skills enhancement, employee retention, policies, and procedures. They strive to create an environment where everyone can bring their whole self to work, where they can excel personally and professionally.