Data Scientist

Shuru; Bengaluru; On-site; INR 1,800,000 - 3,000,000; Full time

Benefits offered by this job

Competitive compensation

Strategic technology impact

Growth opportunities

Job summary

ShuruTech in Bengaluru seeks a data scientist to design and deliver AI solutions across LLMs, transformers, and deep learning for global clients.

You will lead end-to-end model development, build recommendation systems, and translate insights into strategic business outcomes using Python, SQL, Azure, and Snowflake. Travel up to 10% may be required.

Qualifications

• Master’s degree in CS/DS/Math/Stats or equivalent numerical field.
• Deep, hands-on expertise in ML/AI beyond tutorials.
• Production experience with LLMs, RAG, transformers, deep learning, XGBoost, CatBoost.
• Experience building recommendation systems: Search, Match, Rank, content/collaborative/two-tower.
• Strong Python/SQL; fluency in NumPy, Pandas, PyTorch, TensorFlow, Scikit-learn.
• Proficiency with Power BI; cloud exposure to Azure and Snowflake.
• Experience shipping ML models to production; deployment/maintenance.
• Experience in Agile and Waterfall environments.
• Willingness to travel ~10% internationally.

Responsibilities

• Lead end-to-end development and deployment of GenAI and ML models, including LLMs and transformers.
• Design and implement advanced recommendation systems—Search/Match/Rank architectures.
• Build data-driven models addressing critical business questions and outcomes.
• Design and conduct rigorous data analyses with methodology and statistics focus.
• Build AI solutions aligned with FATE for fairness, accountability, transparency, and explainability.
• Translate complex data insights into business strategy.
• Use Python, SQL and modern data stack (Azure, Snowflake) to scale solutions.
• Utilize NumPy, Pandas, PyTorch, TensorFlow, Scikit-learn to deliver production-grade models.
• Partner cross-functionally with engineering, product, and analytics; communicate trade-offs clearly.
• Establish and champion best practices for shipping ML models to production.

Skills

ML/AI expertise

Python

SQL

Cross-functional collaboration

Communication of trade-offs

Agile/Waterfall experience

Education

Master's degree in CS/DS/Math/Stats

Tools

NumPy

Pandas

PyTorch

TensorFlow

Scikit-learn

XGBoost

CatBoost

Power BI

Azure

Snowflake

Job description

ShuruTech is a rapidly growing B2B IT services company specializing in building scalable, secure, and tailored software solutions for global clients. Our focus spans across CRM development, product engineering, cloud transformation, and automation. We’re passionate about empowering businesses to innovate and grow with custom technology solutions.

We are looking for a skilled Data Scientist with deep expertise in machine learning and artificial intelligence to design and deliver impactful AI solutions spanning large language models (LLMs), recommendation systems, advanced regression and classification techniques, and deep learning architectures - creating actionable insights aligned with Fairness, Accountability, Transparency, and Explainability (FATE) principles.

• Lead end-to-end development and deployment of GenAI and machine learning models, including LLMs, transformer architectures, and deep learning solutions.
• Design and implement advanced recommendation systems - Search, Match, Search, Match, Rank, content-based, collaborative, and two-tower architectures.
• Build data-driven models that address critical business questions and drive strategic, measurable outcomes.
• Design and conduct rigorous data analyses with a focus on study design, methodology, algorithms, and statistical modeling.
• Build AI solutions aligned with the FATE framework to support fairness, accountability, transparency, and explainability.
• Translate complex data insights into strategies aligned with business goals.
• Use Python, SQL, and a modern data stack (Azure, Snowflake) to build scalable, efficient solutions.
• Use NumPy, Pandas, PyTorch, TensorFlow, and Scikit-learn to deliver production-grade ML models. Partner cross-functionally with engineering, product, and analytics teams; clearly communicate trade-offs, assumptions, and uncertainties to stakeholders.
• Establish and champion best practices for shipping ML models to production.

Requirements

• Master's degree in Computer Science, Computational Sciences, Data Science, Machine Learning, Statistics, Mathematics, or another quantitative field.
• Deep, hands-on expertise in ML/AI beyond tutorials or side projects.
• Proven production experience with LLMs, RAG, transformer architectures, deep learning, XGBoost, CatBoost, multivariate regression, classification, clustering, and topic modeling.
• Experience building recommendation systems, including Search, Match, Search, Match, Rank frameworks and content, collaborative, and two-tower architectures.
• Strong programming skills in Python and SQL; fluency in NumPy, Pandas, PyTorch, TensorFlow, and Scikit-learn.
• Proficiency with visualization tools such as Power BI.
• Practical knowledge of cloud platforms, particularly Azure and Snowflake.
• Demonstrated ability to ship ML models to production and manage deployment/maintenance.
• Experience working in both Agile and Waterfall environments.
• Self-directed, works effectively with minimal supervision; up to ~10% international travel may be required.

Benefits

• Competitive compensation and benefits.
• Opportunity to shape technology strategy and business outcomes.
• Strong learning and leadership growth opportunities.