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채용Thermo Fisher

Staff Engineer, Artificial Intelligence

Thermo Fisher

Staff Engineer, Artificial Intelligence

Thermo Fisher

Bangalore, India

·

On-site

·

Full-time

·

3w ago

필수 스킬

Python

SQL

AWS

Azure

Spark

Work Schedule

Standard (Mon-Fri)

Environmental Conditions

Office

Job Description

Job Location: Bangalore, India

About Company:

Thermo Fisher Scientific Inc. is the world leader in serving science, with annual revenue exceeding $40 billion. Our Mission is to enable our customers to make the world healthier, cleaner and safer. Whether our customers are accelerating life sciences research, solving sophisticated analytical challenges, improving patient diagnostics and therapies or growing efficiency in their laboratories, we are here to support them. Our distributed team of more than 100,000 colleagues delivers an outstanding combination of innovative technologies, purchasing convenience and pharmaceutical services through our industry-leading brands, including Thermo Scientific, Applied Biosystems, Invitrogen, Fisher Scientific, Unity Lab Services, Patheon and PPD.

What will you do?

We are looking for an experienced AI & Data Lead to drive end to end delivery of AI and data initiatives. This role combines strong technical expertise with leadership capabilities to guide teams in building scalable GenAI solutions, predictive models, and enterprise data platforms.

You will own solution delivery, technical quality, and stakeholder alignment across multiple initiatives.

Key Responsibilities

  • Lead design and delivery of GenAI and agent-based solutions, ensuring scalability and governance.

  • Architect and oversee development of Python-based APIs and AI services.

  • Design and review enterprise-grade data architectures and pipelines.

  • Establish engineering standards for performance, testing, monitoring, and deployment.

  • Drive adoption of LLMOps/MLOps best practices, including evaluation, monitoring, and model lifecycle management.

  • Provide mentorship and technical leadership to engineers.

  • Partner with business leaders to translate strategic objectives into technical roadmaps.

  • Ensure security, compliance, and data governance across AI solutions.

Required Qualifications:

  • 12+ years of experience in AI, data engineering, or analytics solution delivery.

  • 3+ years leading technical teams or complex workstreams.

  • Strong expertise in Python, SQL, Spark/Py Spark, and cloud platforms (AWS/Azure).

  • Experience deploying enterprise GenAI solutions.

  • Strong understanding of system architecture, distributed systems, and API design.

  • Excellent stakeholder management and communication skills.

Good to have skills

  • Experience embedding AI into CRM/ERP systems.

  • Familiarity with BI tools and semantic data modeling.

  • Exposure to supply chain or commercial analytics domains.

  • Experience leading or contributing to Ui Path or enterprise RPA implementations.

  • Ability to design integrated AI + automation workflows.

Education

Bachelor’s or Master’s degree in Computer Science, Engineering, Data Science, or equivalent experience.

  • Our Mission is to enable our customers to make the world healthier, cleaner, and safer. Watch as our colleagues explain 5 reasons to work with us. As one team of 1,20,000 colleagues, we share a common set of values
  • Integrity, Intensity, Innovation and Involvement - working together to accelerate research, solve complex scientific challenges, drive technological innovation and support patients in need.

Thermo Fisher Scientific is an EEO/Affirmative Action Employer and does not discriminate based on race, color, religion, sex, sexual orientation, gender identity, national origin, protected veteran status, disability or any other legally protected status.

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Thermo Fisher 소개

Thermo Fisher

Thermo Fisher Scientific Inc. is an American life science and clinical research company. It is a global supplier of analytical instruments, clinical development solutions, specialty diagnostics, laboratory, pharmaceutical and biotechnology services.

10,001+

직원 수

Waltham

본사 위치

$200B

기업 가치

리뷰

3.0

10개 리뷰

워라밸

3.5

보상

3.8

문화

3.2

커리어

3.5

경영진

2.1

45%

친구에게 추천

장점

Good benefits and compensation

Nice people to work with

Learning opportunities and skill development

단점

Poor management and leadership issues

Disengaged or unsupportive management

Frequent reorganizations and chaos

연봉 정보

2,092개 데이터

Junior/L3

Mid/L4

Junior/L3 · DATA ANALYST

1개 리포트

$130,000

총 연봉

기본급

$100,000

주식

-

보너스

-

$130,000

$130,000

면접 경험

8개 면접

난이도

3.0

/ 5

소요 기간

14-28주

합격률

12%

경험

긍정 12%

보통 63%

부정 25%

면접 과정

1

Application Review

2

Recruiter Screen

3

Hiring Manager Interview

4

Panel Interview

5

Final Interview

6

Offer

자주 나오는 질문

Technical Knowledge

Behavioral/STAR

Past Experience

Culture Fit

Industry Specific