Advanced Data Scientist

Bengaluru - India

Monthly Salary: Not Disclosed

Posted on: 8 hours ago

Vacancies: 1 Vacancy

Job Summary

Description

As a Advanced Data Scientist 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 architect and deliver end-to-end data and model pipelines with a special emphasis on deploying Generative AI solutions for smart and sustainable buildings. 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.

Responsibilities

Key Responsibilities

Design 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.
Build comprehensive end-to-end data and model pipelines maintaining data integrity and facilitating efficient GenAI model deployment.
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.
Partner with cross-functional teams to seamlessly integrate Generative AI solutions into existing systems and workflows.
Collaborate proactively with product managers and business leaders to ensure GenAI efforts are aligned with broader business goals.
Oversee the data science development lifecycle encompassing project planning resource management and progress tracking with a focus on GenAI initiatives.
Mentor and support data scientists in Generative AI methodologies promoting innovation and technical excellence within the team.

Qualifications

You Must Have

A bachelors degree in Artificial intelligence Data science computer science statistics mathematics or a closely related field is required.
Preferably with masters degree or PhD in data science or advanced artificial intelligence is considered an asset.
6+ years of experience building solutions using ML DL OCR/CV GenAI based models.
Strong E2E hands-on experience in building and deploying AI/ML models/Computer Vision models/GenAI models
Expertise in CI/CD pipelines and MLOps frameworks especially for GenAI model deployment.
Excellent communication skills to convey complex GenAI concepts to stakeholders.
Proven ability to lead and influence direct and indirect reports.
Experience gathering requirements independently proposing GenAI solutions and implementing them.
Strong proficiency in programming languages such as Python and SQL.
Experience of Lifesciences domain is good to have
Proficiency in cloud platforms AWS Azure

We Value

Advanced 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 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.

Required Experience:

DescriptionAs a Advanced Data Scientist 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 architect and de...

Description

Responsibilities

Key Responsibilities

Design 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.
Build comprehensive end-to-end data and model pipelines maintaining data integrity and facilitating efficient GenAI model deployment.
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.
Partner with cross-functional teams to seamlessly integrate Generative AI solutions into existing systems and workflows.
Collaborate proactively with product managers and business leaders to ensure GenAI efforts are aligned with broader business goals.
Oversee the data science development lifecycle encompassing project planning resource management and progress tracking with a focus on GenAI initiatives.
Mentor and support data scientists in Generative AI methodologies promoting innovation and technical excellence within the team.

Qualifications

You Must Have

A bachelors degree in Artificial intelligence Data science computer science statistics mathematics or a closely related field is required.
Preferably with masters degree or PhD in data science or advanced artificial intelligence is considered an asset.
6+ years of experience building solutions using ML DL OCR/CV GenAI based models.
Strong E2E hands-on experience in building and deploying AI/ML models/Computer Vision models/GenAI models
Expertise in CI/CD pipelines and MLOps frameworks especially for GenAI model deployment.
Excellent communication skills to convey complex GenAI concepts to stakeholders.
Proven ability to lead and influence direct and indirect reports.
Experience gathering requirements independently proposing GenAI solutions and implementing them.
Strong proficiency in programming languages such as Python and SQL.
Experience of Lifesciences domain is good to have
Proficiency in cloud platforms AWS Azure

We Value

Advanced 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 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.

Required Experience:

Key Skills

Laboratory Experience
Immunoassays
Machine Learning
Biochemistry
Assays
Research Experience
Spectroscopy
Research & Development
cGMP
Cell Culture
Molecular Biology
Data Analysis Skills

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About Company

Honeywell

Honeywell helps organizations solve the world's most complex challenges in automation, the future of aviation and energy transition. As a trusted partner, we provide actionable solutions and innovation through our Aerospace Technologies, Building Automation, Energy and Sustainability ... View more

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