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Digital Senior Engineer
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About Sonata Software
In today's market, we observe a distinct duality in technology adoption. On one front, clients are keenly focused on cost containment, while on the other, there is a strong drive to modernize their digital storefronts, aiming to appeal to both consumers and B2B customers alike.
As a leading Modernization Engineering company, we aim to deliver modernization-driven hypergrowth for our clients based on the deep differentiation we have created in Modernization Engineering, powered by our Lightening suite and 16-step Platformation playbook. In addition, we bring agility and systems thinking to accelerate time to market for our clients.
Headquartered in Bengaluru, India, Sonata Software has a strong global presence, with strategic operations spanning across key regions such as the US, UK, Europe, APAC, and ANZ. We are a trusted partner of world-leading companies in TMT (Telecom, Media, and Technology), Retail & CPG, Manufacturing, BFSI (Banking, Financial Services and Insurance), and HLS (Healthcare and Lifesciences). Our bouquet of Modernization Engineering services cuts across Cloud, Data, Dynamics, Contact Centers, and around newer technologies like Generative AI, MS Fabric, and other modernization platforms.
To know more, visit: www.sonata-software.com
Job Title: AI/ML Data Scientist – Supply Chain Analytics
Experience: 4–8 Years
Location: Bangalore / Hyderabad / Chennai
Notice Period: Less than 15 Days
Employment Type: Full-Time
Location: Bangalore / Hyderabad / Chennai
Notice Period: Less than 15 Days
Employment Type: Full-Time
Key Responsibilities:
- Design, develop, and deploy AI/ML models to solve complex business challenges within the Supply Chain domain.
- Partner with data engineers and architects to design robust data pipelines and models aligned with Fabric and Lakehouse architecture.
- Lead model training, validation, deployment, and monitoring through MLOps frameworks ensuring scalability and sustainability.
- Work with stakeholders to translate business requirements into actionable data science and analytics solutions.
- Perform data wrangling, feature engineering, and exploratory data analysis (EDA) to drive insights.
- Develop and optimize SQL/T-SQL queries for data extraction, transformation, and analytics.
- Collaborate cross-functionally with IT, digital, and supply chain teams to ensure seamless data integration and governance.
- Contribute to best practices for model lifecycle management, version control, and performance monitoring.
Required Qualifications:
- Bachelor’s or Master’s degree in Data Science, Computer Science, Engineering, or related field.
- 4–8 years of experience in AI/ML model development, training, and deployment in a production environment.
- Strong proficiency in Python, SQL/T-SQL, and experience with data modeling and ETL frameworks.
- Hands-on experience with MLOps tools (e.g., MLflow, Azure ML, Databricks, Kubeflow, or similar).
- Working knowledge of Lakehouse architecture and data fabric concepts.
- Proven experience applying data science in Supply Chain functions within Healthcare or Life Sciences industries.
Preferred Qualifications:
- Experience with Databricks, Azure Synapse, or AWS Glue/Lake Formation.
- Familiarity with deep learning and generative AI use cases in supply chain optimization.
- Strong understanding of data governance, quality, and lineage in large-scale data ecosystems.
- Excellent communication and stakeholder management skills.
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