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Salary
≈ $33k – $70k per year (Estimated)
Location
In office (Bengaluru)
Seniority
Staff · 7+ years exp

First seen by Alion on Sep 23, 2026.

Overview
Company
Impact
Profile match
GyanSys is a global systems integrator headquartered in Indianapolis, Indiana, that implements SAP, Salesforce, Microsoft and ServiceNow platforms along with data, analytics and AI solutions for sales, finance, supply chain, manufacturing and HR processes. Founded in 2005 with a focus on SAP services, it has more than 3,000 employees in 12 countries serving about 160 active customers in manufacturing, automotive, high-tech, consumer goods and life sciences, with large delivery teams in Bengaluru. It hires SAP functional and technical consultants and architects, AI and ML engineers, data scientists and architects, .NET developers and project managers.

Role Overview:

Looking for a Lead/Senior Data Scientist with strong expertise in machine learning, statistical modeling, deep learning, optimization, and production AI solutions. The role will focus on translating complex business problems into data-driven solutions and delivering measurable business outcomes.

Key Responsibilities:

- Analyze complex business problems and develop ML/AI-driven solutions.

- Build, train, validate, and optimize machine learning and statistical models.

- Apply deep learning, predictive modeling, optimization, and statistical techniques to real-world problems.

- Work with large and complex datasets for feature engineering, model development, and evaluation.

- Develop and evaluate LLM, GenAI, RAG, and Agentic AI use cases where applicable.

- Define model evaluation frameworks and ensure accuracy, reliability, and business relevance.

- Collaborate with engineering teams to transition models from experimentation to production.

- Communicate analytical findings, model outcomes, and recommendations to technical and business stakeholders.

- Mentor data scientists and contribute to technical standards and best practices.

Required Skills:

- 7+ years of experience in Data Science, Machine Learning, or AI.

- Strong expertise in Python, statistics, probability, linear algebra, and optimization.

- Strong experience with Machine Learning and Deep Learning.

- Hands-on experience with PyTorch, TensorFlow, or JAX.

- Experience developing and deploying production-grade ML models.

- Strong analytical, problem-solving, communication, and stakeholder management skills.

- Proven experience delivering AI/ML solutions with measurable business impact.

Good to Have:

- LLM/SLM, Generative AI, RAG, Agentic AI.

- Reinforcement Learning and multi-agent systems.

- Gurobi/CPLEX, LP/MIP, optimization, or OR experience.

- Julia/SciML exposure.

- Experience in semiconductor, manufacturing, or supply-chain domains.

Skills

Machine Learning, Python, Data Science, Deep Learning, PyTorch, Tensorflow, Generative AI, NLP, Julia, Artificial Intelligence

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