TVARIT Jobs

Senior Data Scientist

TVARIT

Senior Data Scientist

Posted 2 Days Ago

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Pune, Mahārāshtra, IND

In-Office

Senior level

Software

The Role

Develop and deploy scalable machine learning solutions for industrial customers, from requirements gathering through production monitoring. Responsibilities include exploratory data analysis, feature engineering, Python development, model building, cloud deployment, MLOps, client presentations, technical collaboration, and mentoring junior data scientists. The role focuses on predictive quality, maintenance, energy reduction, and other AI applications in manufacturing and metal industries.

Summary Generated by Built In

Job Title: Senior Data Scientist

Location: Pune

Job Type: Full-Time

About TVARIT

TVARIT GmbH specializes in developing and delivering cutting-edge artificial intelligence (AI) solutions for the metal industry, including steel, aluminum, copper, cast iron, and more. Our software products empower customers to make intelligent, data-driven decisions, driving advancements in Predictive Quality (PsQ), Predictive Maintenance (PdM), and Energy Consumption Reduction (PsE), etc.

With a strong portfolio of renowned reference customers, state-of-the-art technology, a talented research team from prestigious universities, and recognition through esteemed awards such as the EU Horizon 2020 AI Prize, TVARIT is recognized as one of the most innovative AI companies in Germany and Europe.

We are looking for a self-motivated person with a positive "can-do" attitude and excellent oral and written communication skills in English.

About the Role

We are looking for a highly skilled and motivated Senior Data Scientist who is passionate about solving complex data problems and developing cutting-edge solutions. This role requires someone with a strong technical background in data science, with full-stack development exposure from requirement gathering to solution deployment. The ideal candidate will be comfortable working as an individual contributor and as an active team member.

Key Responsibilities

· Translate business challenges into ML solutions by understanding customer needs and the broader context.

· Perform exploratory data analysis (EDA) and feature engineering on large-scale datasets.

· Write clean, efficient, and maintainable Python code for data processing, modeling, and analysis, following MLOps best practices.

· Build, optimize, deploy, and monitor scalable machine learning models and pipelines on cloud platforms (Azure preferred; AWS/GCP is a plus)

· Actively participate in code reviews, technical discussions, and knowledge-sharing sessions to drive innovation and best practices.

· Lead client discussions and present actionable insights and recommendations to stakeholders effectively.

· Mentor junior data scientists, providing guidance on model development, best practices, and technical problem-solving.

Qualifications

· Bachelor’s or master's degree in Metallurgy, mechanical, IT, Computer, or a related field from IIT, NIT, or top university.

· 5+ years of experience in data science and machine learning.

· Experience in the metal industry, manufacturing industry, or similar industry exposure

Technical Skills

· Strong Python programming skills with experience in libraries like Pandas, Scikit-learn, TensorFlow, or PyTorch.

· Strong foundation in ML & AI, covering statistical analysis, time series forecasting, deep learning, and optimization, with expertise in ML techniques like Random Forest, Gradient Boosting, Neural Networks, SVM, Clustering, PCA, Reinforcement Learning and and optimization algorithms.

· Proficiency in cloud platforms such as Azure [Preferred], AWS, or GCP.

· Good to have experience with real-time AI model deployment in industrial environments [On-premises, cloud or edge]

· Familiar with SQL and NoSQL databases.

· Understanding of MLOps, including model versioning, monitoring, and deployment.

· Good to have knowledge of deep learning architectures and techniques for computer vision, NLP, and generative AI is plus

· Strong analytical and problem-solving skills with a structured approach to debugging and optimization.

· Effective communicator and team collaborator in agile, fast-paced environments.

· Ability to work in a fast-paced, agile environment and adapt to changing priorities.

Skills Required

Bachelor's or master's degree in Metallurgy, Mechanical, IT, Computer Science, or a related field
Degree from IIT, NIT, or another top university
5+ years of experience in data science and machine learning
Experience in the metal, manufacturing, or similar industry
Strong Python programming skills
Experience with Pandas and Scikit-learn
Experience with TensorFlow or PyTorch
Knowledge of statistical analysis, time series forecasting, deep learning, and optimization
Proficiency with Azure, AWS, or GCP cloud platforms
Familiarity with SQL and NoSQL databases
Understanding of MLOps, including model versioning, monitoring, and deployment
Strong analytical, problem-solving, communication, and collaboration skills
Experience with real-time AI model deployment in industrial environments
Knowledge of computer vision, NLP, and generative AI

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The Company

Hesse

49 Employees

Year Founded: 2019

What We Do

We are a specialized Deep Tech company based in Frankfurt, Germany, and a provider of cutting-edge TVARIT Industrial AI (TiA) Technology with a focus on the manufacturing industry, especially foundries and metalworking companies. Our sole mission is to enable a sustainable, zero-waste manufacturing using our technology by almost eliminating energy losses, waste and maximizing machine and equipment availability. Through our unique patented technologies like “Hybrid AI” & “Transfer learning,” we guarantee first results (on average -30% less scrap and -20% less energy consumption) within 2-3 months and thus an ROI under 6 months. With our technology TiA, we combat the knowledge drain at foundries and metal companies. The expert knowledge is "conserved" and continuously increased making the platform smarter and more accurate through longer use. We are creating "Digitally Empowered Operators": by using TiA less experienced operators can be "empowered" to make optimal recipe adjustments in real-time, ensuring virtually defect-free and non-disruptive production. Our customers include world-renowned manufacturing companies in the metal industry such as Aditya Birla, Kamax, Schunk Group, and Maxion Wheels. In addition to proven results from more than 55 industrial projects in reducing scrap, increasing machine availability & productivity as well as reducing CO2 emissions, we have been recognized as the best AI company in Europe in the track “Best Smart Factory Startup in Europe" (out of 8 tracks with 495 participants) by the European Data Incubator (EDI) in 2020. Check out our website www.tvarit.com for more details on what we do