EntryFull TimeEN
Work Schedule
Standard (Mon-Fri)Environmental Conditions
OfficeJob Description
About Company:
Thermo Fisher Scientific Inc. is the world leader in serving science, with annual revenue of more than $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 complex analytical challenges, increasing productivity in their laboratories, improving patient health through diagnostics or the development and manufacture of life-changing therapies, we are here to support them. Our global team delivers an unrivaled 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.
About Team: The Enterprise Technology & Operations (ETO) team partners with the business and other IT groups to define, manage, test, validate and deliver the strategic direction and operational performance of Enterprise Applications and Systems for Thermo Fisher Scientific.
Our enterprise applications manage business critical activities like order taking and fulfillment, manufacturing, managing new product development and launch, sales and customer management, data and document management, and business insights.
Role Responsibilities :
Assist with developing business applications that leverage AI technologies such as OpenAI, Claude etc
Work with datasets to perform data cleaning, preprocessing, and basic feature engineering within the CRM Data store
Support / Maintain integration of AI solutions with Salesforce platforms using APIs and built-in tools
Contribute to building intelligent workflows within Salesforce (Einstein, Flows, basic automation)
Collaborate with senior engineers and cross-functional teams to deliver end-to-end solutions
Participate in testing, debugging, and improving AI-driven applications
Document solutions, experiments, and learnings clearly
Open mindset towards learning and adapting to new skills within CRM ecosystem such as – Salesforce.com, Oracle CPQ etc.
Open towards participating and contributing in DevOps initiatives (Flexdeploy, GitHub, etc)
Candidate Requirement:
Education : BS degree in Computer Science Engineering, Information Systems, Data Science, AI/ML, or related field (Batch of 2025 / 2026)
Preferred Skills:
Hands-on knowledge – Python, Typescript
Understanding and Handson experience in implementing and supporting Devops tools.
Understanding of AI Concepts such as RAG, MCP, APIs, JSON, and system integration basics.
Experience working with SQL and handling real datasets
Exposure / Understanding of Salesforce.com platform and Saas platforms such as AWS
Good to Have (Not Mandatory)
Any exposure to Salesforce, low-code/no-code platforms, or automation tools
Experience in Devops tools such as Flexdeploy, Github etc, specific to CRM Ecosystem.
Academic projects or internships involving AI/ML or data analysis
Exposure to cloud platforms (AWS/GCP/Azure) or SaaS platforms
Basic understanding of CRM concepts or business workflows
Learning & Growth Expectations (Key Filter)
Strong interest in learning the Salesforce ecosystem (Sales Cloud, Service Cloud, Einstein AI)
Willingness to pick up platform-specific development skills (Apex, Lightning Web Components)
Ability to quickly learn new tools, frameworks, and business domains
Interest in applying AI to real-world enterprise problems (customer data, workflows, automation)
