Senior Data Scientist-II

Dover India; Bengaluru; On-site; INR 1,500,000 - 2,500,000; Full time

Job summary

Dover India is seeking a Senior Data Scientist to work closely with the AI team. You will design and deploy machine learning and Generative AI solutions to enhance business operations.

The ideal candidate should possess 3-5 years of experience and strong skills in Python programming and computer vision. This position will be based in Whitefield, Bangalore, and offers exciting challenges in AI development.

Qualifications

• 3-5 years of experience in relevant field.
• Deep hands-on experience building computer vision systems.
• Familiarity with Generative AI development patterns.

Responsibilities

• Build algorithms providing unique insights using data.
• Design and deploy machine learning and AI solutions.
• Support scalable data pipelines and engineering workflows.

Skills

Python programming

Computer vision

Data engineering

Tools

NumPy

pandas

scikit-learn

Azure OpenAI

AWS Bedrock

Google Vertex AI

Hugging Face

Job description

Dover is a diversified global manufacturer with annual revenue of over $8 billion. We deliver innovative equipment and components, specialty systems, consumable supplies, software and digital solutions, and support services through five operating segments: Engineered Products, Clean Energy & Fueling, Imaging & Identification, Pumps & Process Solutions and Climate & Sustainable Technologies. Dover combines global scale with operational agility to lead the markets we serve. Recognized for our entrepreneurial approach for over 60 years, our team of approximately 24,000 employees takes an ownership mindset, collaborating with customers to redefine what's possible. Headquartered in Downers Grove, Illinois, Dover trades on the New York Stock Exchange under "DOV." Additional information is available at dovercorporation.com.

Designation

Senior Data Scientist

Experience

3-5 years

Location

Whitefield Bangalore

Roles & Responsibilities

• Work closely with the AI team to help build complex algorithms that provide unique insights into our data using images, text, documents, and other structured and unstructured data sources
• Design, develop, and deploy machine learning, deep learning, and Generative AI solutions in support of business and operational objectives
• Contribute to the development of LLM-based and multimodal AI applications, including use cases such as intelligent document processing, semantic search, summarization, question answering, and retrieval-augmented generation (RAG)
• Develop and support scalable data pipelines and data engineering workflows to enable efficient data ingestion, transformation, feature generation, and model deployment.
• Work with modern Generative AI platforms and model ecosystems, including Azure Open AI, AWS Bedrock, Google Vertex AI, OpenAI, Anthropic, Hugging Face, or similar technologies, to prototype and operationalize AI solutions. Apply ML Ops and LLM Ops best practices to support model development, evaluation, deployment, monitoring, and continuous improvement

Must Have Skills

• Experience with the Python programming language, including libraries such as NumPy, pandas, scikit-learn and open-source OCR models
• Deep hands‑on experience building computer vision and anomaly detection systems involving algorithm development in field such as image segmentation. Familiarity with Generative AI development patterns such as embeddings, fine‑tuning, retrieve augmented generation (RAG)
• Competence with Generative AI platforms and services such as Azure OpenAI, AWS Bedrock, Google Vertex AI, OpenAI, Anthropic, Hugging Face, or similar solutions
• Experience with data engineering concepts and data pipeline techniques, including data ingestion, transformation, ETL/ELT workflows, data preprocessing, and feature pipeline development

We consider several job-related, non-discriminatory factors when determining the pay rate for a position, including, but not limited to, the position’s responsibilities, a candidate’s work experience, a candidate’s education/training, the position’s location, and the key skills needed for the position. Pay is one of the Total Rewards that we provide to compensate and recognize employees for their work.

All qualified applicants will receive consideration for employment without discrimination on the basis of race, color, religion, sex, sexual orientation, gender identity, national origin, protected veteran status, disability, age, genetic information, or any other factors prohibited by law.