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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.

· 4+ 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.

Profile:Azure Data Engineer

Experience: 5 Years

Locations: Nagpur | Nashik | Pune | Indore | Jaipur | Gurgaon | Noida | Bhopal | Gwalior | Mumbai

Mode:Hybrid

Mandatory Skills

• Azure Databricks - Autoloader, DLT (Delta Live Tables)
• Azure Data Factory (ADF) - ETL/ELT pipeline development
• Azure Synapse Analytics - Data warehousing solutions
• Delta Lake - ACID transactions and schema evolution
• Apache Kafka & Azure Event Hub - Real-time streaming
• SQL - Advanced querying and optimization
• Data Quality - Validation and monitoring frameworks

Key Responsibilities

• Design and develop data pipelines using ADF and Databricks
• Implement real-time and batch processing with Kafka/Event Hub
• Build Delta Live Tables for declarative ETL workflows
• Manage Delta Lake architecture with schema evolution
• Optimize data ingestion using Databricks Autoloader
• Implement data quality and monitoring solutions
• Performance tuning of Synapse Analytics queries

Required Qualifications

• 5+ years of hands-on Azure data engineering experience
• Strong programming skills in Python/Scala/Spark
• Experience with data warehousing and dimensional modeling
• Knowledge of CI/CD practices for data pipelines

Preferred

• Azure Data Engineer Associate or Databricks certification
• Experience with Power BI and version control (Git)

Key Responsibility Areas:

• Develop tools and applications by producing clean, efficient code.
• Determine operational feasibility by evaluating analysis, problem definition, requirements, solution development and proposed solutions
• Perform validation and verification testing and debud code.
• Work collaboratively with others to achieve goals
• Experience working in an agile environment

Required Skills:

• Experience in implementing Object-Oriented Python, Django.
• Good understanding on Django
• Experienced in interfacing with *third party API’s using REST
• Worked with varieties of Relational Databases (RDBMS) like SQLite, MySQL, PostgreSQL.
• Experience in Version Control with Git and Bitbucket.
• Experience with JIRA the development progress and tracking deadlines of the project

We are looking for a Senior Data Engineer with strong expertise in GCP, Databricks, and Airflow to design and implement a GCP Cloud Native Data Processing Framework. The ideal candidate will work on building scalable data pipelines and help migrate existing workloads to a modern framework.

• Shift: 2 PM 11 PM
• Work Mode: Hybrid (3 days a week) across Xebia locations
• Notice Period: Immediate joiners or those with a notice period of up to 30 days

Key Responsibilities:

• Design and implement a GCP Native Data Processing Framework leveraging Spark and GCP Cloud Services.
• Develop and maintain data pipelines using Databricks and Airflow for transforming Raw → Silver → Gold data layers.
• Ensure data integrity, consistency, and availability across all systems.
• Collaborate with data engineers, analysts, and stakeholders to optimize performance.
• Document standards and best practices for data engineering workflows.

Required Experience:

• 7-8 years of experience in data engineering, architecture, and pipeline development.
• Strong knowledge of GCP, Databricks, PySpark, and BigQuery.
• Experience with Orchestration tools like Airflow, Dagster, or GCP equivalents.
• Understanding of Data Lake table formats (Delta, Iceberg, etc.).
• Proficiency in Python for scripting and automation.
• Strong problem-solving skills and collaborative mindset.

⚠️ Please apply only if you have not applied recently or are not currently in the interview process for any open roles at Xebia.

Looking forward to your response!

Best regards,

Vijay S

Assistant Manager - TAG

https://www.linkedin.com/in/vijay-selvarajan/

                Dot Net Programming-C# .Net,MS SQL Server,ASP.NET MVC Domain Skills-

                Dot Net Framework,WCF,ASP.NET,ANSI SQL,ADO.NET,.Net Programming-VB .Net, Technology .NET

As a Director Engineering, your role & responsibility will include the following.  

• Define the product roadmap and delivery planning. 
• Provides technical leadership in design, delivery, and support of product software and platforms. 
• Participate in driving technical architectural decisions for the product.  
• Prioritization of the features and deliverable artifacts 
• Augmentation of the product development staff.  
• Mentor managers to implement best practices to motivate and organize their  teams. 
• Prepare schedules, report status as well as make hiring decisions. 
• Ensure to provide proven ability to evaluate and improve software development  best practices. 
• Provide DevOps and other processes to assure consistency, quality and  timeliness. 
• Participate in interviewing as well as hiring final decisions. 
• Guide and provide input to all strategic as well as technical planning for entire  products. 
• Monitor and provide input for evaluation and prioritize change requests.
• Create and monitor the set of policies that establish standard development  languages, tools, and methodology; documentation practices; and examination  procedures for developed systems to ensure alignment with overall architecture.' 
• Participate in project scope, schedule, and cost reviews. 
• Understand and socialize product capabilities and limitations. 
• Identify and implement ways to improve and promote quality and demonstrate  accuracy and thoroughness. 
• Establish working relationships with external technology vendors. 
• Integrate customer requirements through the engineering effort for championing  next generation products. 
• Quickly gain an understanding of the company's technology and markets,  establish yourself as a credible leader. 
• Release scheduling. 
• Keeps abreast of new technologies and has demonstrated knowledge and  experience in various technologies. 
• Manage 3rd party consulting partners/vendors implementing products. 
• Prepare and submit weekly project status reports; prepare monthly reports  outlining team assignments and/or changes, project status changes, and  forecasts project timelines.
• Provide leadership to individuals or team(s) through coaching, feedback,  development goals, and performance management. 

• Prioritize employee career development to grow the internal pipeline of leadership  talent. 
• Prioritize, assign, and manage department activities and projects in accordance  with the department's goals and objectives. Adjust hours of work, priorities, and  staff assignments to ensure efficient operation, based on workload. 

Qualification & Experience  

• Master’s or bachelor’s degree in Computer Science, Business Information  Systems or related field or equivalent work experience required. 
• Relevant certifications also preferred among other indications of someone who  values continuing education. 
• 15+ years’ experience "living" with various operating systems, development tools  and development methodologies including Java, data structures, Scala, Python,  NodeJS 
• 8+ years of individual contributor software development experience.
• 6+ years management experience in a fast-growing product software  environment with proven ability to lead and engage development, QA and  implementation teams working on multiple projects. 
• Idea generation and creativity in this position are a must, as are the ability to  work with deadlines, manage and complete projects on time and within budget. 
• Proven ability to establish and drive processes and procedures with quantifiable  metrics to measure the success and effectiveness of the development  organization. 
• Proven history of delivering on deadlines/releases without compromising quality. 
• Mastery of engineering concepts and core technologies: development models,  programming languages, databases, testing, and documentation. 
• Development experience with compilers, web Services, database engines and  related technologies. 
• Experience with Agile software development and SCRUM methodologies. 
• Proven track record of delivering high quality software products. 
• A solid engineering foundation indicated by a demonstrated understanding of  
• product design, life cycle, software development practices, and support services.  Understanding of standard engineering processes and software development  methodologies. 
• Experience coordinating the work and competences of software staff within  functional project groups. 
• Ability to work cross functionally and as a team with other executive committee  members. 
• Strong verbal and written communication skills. 
• Communicate effectively with different business units about technology and  processes using lay terms and descriptions.  
•  
• Experience Preferred: 
• Experience building horizontally scalable solutions leveraging containers,  microservices, Big Data technologies among other related technologies. 
• Experience working with graphical user experience and user interface design. 
• Experience working with object-oriented software development, web services,  web development or other similar technical products. 
• Experience with database engines, languages, and compilers  
• Experience with user acceptance testing, regression testing and integration  testing. 
• Experience working on open-source software projects for Apache and other great  open-source software organizations. 
• Demonstrable experience training and leading teams as a great people leader.
•