Data Scientist II

Posted 13 Days Ago
Be an Early Applicant
2 Locations
In-Office
Mid level
Aerospace • Security • Energy • Industrial
The Role
Develop and deploy data science, Generative AI, computer vision, OCR, and machine learning models. Build end-to-end data and model pipelines, productionize solutions on-premises and in the cloud, and apply MLOps practices using AWS and Azure. Collaborate with cross-functional teams to integrate AI solutions into intelligent building systems and support digital transformation initiatives.
Summary Generated by Built In

As a Data Scientist II at Honeywell Technology solutions in the life sciences domain, you will play a pivotal role in leveraging data and cutting-edge Generative AI techniques to drive insights, develop innovative models, and accelerate digital transformation. You will work on building advance OCR/CV /GenAI based models and deliver end-to-end data and model pipelines, with a special emphasis on deploying Generative AI solutions. Your expertise in cloud platforms (AWS, Azure) and ML Ops will be crucial for optimizing and scaling these advanced models. This is an exciting opportunity to shape the future of intelligent building systems using the latest advancements in AI.

You will report directly to our Sr Manager, software Engineering and work out of our Bangalore, India location on a hybrid schedule.

Responsibilities

Key Responsibilities

· Work on develop, and implement sophisticated data science models with a particular emphasis on Generative AI (GenAI), Computer vision, covering applications in text, image, and data synthesis for system development.

· Support the creation and maintenance of data and model pipelines, ensuring data integrity and helping with GenAI model deployment under supervision.

· Employ cloud platforms such as AWS, Azure to utilize scalable computing resources for Generative AI workloads.

· Having experience of productionizing the AI/ML/GenAI based solution on Prem and on cloud.

· Optimize and deploy machine learning and GenAI models in accordance with established ML Ops best practices.

· Collaborate with cross-functional teams to help integrate Generative AI solutions into existing systems and workflows, contributing to project goals and learning from team interactions.

Qualifications

You Must Have

· A bachelor's degree in Artificial intelligence, Data science ,computer science, statistics, mathematics, or a closely related field is required.

· Preferably, with master's degree or PhD in data science or advanced artificial intelligence is considered an asset.

· 3+ years of experience building solutions using ML, DL, OCR/CV, GenAI based models.

· Good experience in developing E2E solutions of building and deploying AI/ML models/Computer Vision models/GenAI models

· Experience in CI/CD pipelines and MLOps frameworks, especially for GenAI model deployment.

· Excellent communication skills to convey complex GenAI concepts to stakeholders.

· Good proficiency in programming languages such as Python and SQL.

· Experience of Lifesciences domain is good to have

· Proficiency in cloud platforms – AWS, Azure

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We Value

· Good proficiency in Generative AI, CV/ML/DL/NLP, and related programming languages.

· Experience in the life sciences domain, especially manufacturing, is a plus.

· Hands-on experience with GenAI and Computer vision models, knowledge graph technologies.

· Strong leadership and management skills.

· Experience working in agile development environments.

· Proven ability to drive successful GenAI and data science projects.

· Ability to work in a fast-paced, dynamic environment.

· Attention to detail and excellent problem-solving capability.

About UsHoneywell Technologies is a global, pure-play automation company with a legacy of innovating to help solve the world’s most mission-critical challenges, enhancing the quality of life for people and communities around the world. We serve the building, industrial and process sectors with a broad portfolio of services, solutions and products, underpinned by our Honeywell Technologies Accelerator operating system and Honeywell Technologies Forge intelligence layer. By combining the deep domain expertise of our more than 50,000 employees with decades of data from our global installed base, we are uniquely positioned to lead the industrial sector’s transition from automation to autonomy.

Skills Required

  • Bachelor’s degree in artificial intelligence, data science, computer science, statistics, mathematics, or a closely related field
  • 3+ years of experience building solutions using machine learning, deep learning, OCR, computer vision, or Generative AI models
  • Experience developing end-to-end solutions for building and deploying AI, machine learning, computer vision, or Generative AI models
  • Experience with CI/CD pipelines and MLOps frameworks, especially for Generative AI model deployment
  • Proficiency in Python and SQL
  • Proficiency with AWS and Azure cloud platforms
  • Excellent communication skills for conveying complex Generative AI concepts to stakeholders
  • Master’s degree or PhD in data science or advanced artificial intelligence
  • Experience in the life sciences domain, especially manufacturing
  • Hands-on experience with Generative AI and computer vision models
  • Knowledge of knowledge graph technologies
  • Strong leadership and management skills
  • Experience working in agile development environments
  • Proven ability to drive successful Generative AI and data science projects

Honeywell Compensation & Benefits Highlights

The following summarizes recurring compensation and benefits themes identified from responses generated by popular LLMs to common candidate questions about Honeywell and has not been reviewed or approved by Honeywell.

  • Retirement Support — Retirement benefits are anchored by a strong 401(k) match with clear vesting and annual funding mechanics. Plan administration and education resources further reinforce long‑term savings support.
  • Leave & Time Off Breadth — Time away provisions include company holidays, flexible vacation for many exempt roles, and paid sick time. These policies contribute meaningful breadth beyond base pay.
  • Parental & Family Support — Paid parental leave is available to all parents with flexible usage options, and certain family‑building supports are included. Birth mothers can coordinate leave with short‑term disability for extended coverage.

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The Company
HQ: Charlotte, NC
110,269 Employees
Year Founded: 1906

What We Do

Honeywell is a Fortune 500 company that invents and manufactures technologies to address tough challenges linked to global macrotrends such as safety, security, and energy. With approximately 110,000 employees worldwide, including more than 19,000 engineers and scientists, we have an unrelenting focus on quality, delivery, value, and technology in everything we make and do.

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