AI/ML Engineer

ThermoFisher Scientific; México; Remote; MXN 700,000 - 1,100,000; Full time

Job summary

Thermo Fisher Scientific in Mexico is seeking a Data Engineer Developer to join the BI Delivery and Operations team. You will work on data pipelines, AI use cases, and analytics projects to enable internal stakeholders to make data-driven decisions.

You’ll collaborate with data analysts and engineers, apply Python and SQL, and contribute to SAP-related data workflows. This role requires strong problem solving and cross-functional teamwork in a global context.

Qualifications

• 3–5 years of practical experience in data engineering, software development, or data analytics.
• Hands-on Python coding, REST APIs, and data integration experience.
• Familiar with modern data platforms and AI workflows.
• Able to work independently and cross-functionally across global teams.
• Degree in computer science, data science, or software engineering; masters preferred.

Responsibilities

• AI & Data Solutioning: prototype and implement data/AI use cases using Databricks, SAP Business AI, or cloud AI services.
• LLM & API integration: build and integrate AI capabilities via LLM APIs and connectors.
• Data Engineering & Modeling: acquire, cleanse, transform, and map data for analytic reports and AI apps.
• Pipeline Development & ETL: design ETL/ELT pipelines and perform data prep.
• Process Automation: automate data workflows, tests, and monitoring scripts.

Skills

Python

SQL

REST APIs

AI frameworks

Cloud data platforms

Education

Bachelor's degree in computer science/data science/software engineering

Master's degree (preferred)

Tools

Databricks

PySpark

OpenAI API

SAP BW/4HANA

SAP Datasphere

LangChain

Job description

Work Schedule

Standard (Mon-Fri)

Environmental Conditions

Office

Job Description

When you’re part of Thermo Fisher Scientific, you’ll do challenging work, and be part of a team that values performance, quality and innovation. As part of a successful, growing global organization, you will be encouraged to perform at your best. With revenues of more than $40 billion and the largest investment in R&D in the industry, we give our people the resources and opportunities to make significant contributions to the world.

Location/Division Specific Information

Business Intelligence Delivery and Operations team is part of corporate IT function under Enterprise Technology Organization. BI Team is responsible for data service, data lake and analytics services for internal customers of Thermo Fisher Scientific

How will you make an impact?

The Data engineer Developer role provides an opportunity for data job seekers who currently hold a data science, data analytics, computer engineering, or like engineering degree. Individuals will be working with team of data analyst, data engineers in a fast-paced bi analytics environment. The candidate will contribute to development projects, pilots and advance best design practices.

What will you do?

• AI & Data Solutioning: Support the prototyping, testing, and implementation of data and AI use cases using Databricks, SAP Business AI, or any cloud AI services( aws or azure)
• LLM & API Integration: Assist in building and integrating AI capabilities using LLM APIs, custom API connectors (such as MCP), or retrieval workflows to enhance analytics deliverables.
• Data Engineering & Modeling: Participate in data acquisition, cleansing, transformation, and mapping to build clean data models for Analytical reporting and AI applications or use cases within SAP and non-SAP ecosystem.
• Pipeline Development & ETL: Perform data source evaluations, design basic ETL/ELT pipelines, and perform data preparation and business rule development.
• Process Automation: Identify and automate repetitive data workflows, testing tasks, and monitoring scripts using Python and SQL.
• Documentation & Support: Create and maintain technical documentation for integrations and applications. Support incidents, requests, and operational support activities per standard ITSM lifecycles.
• Operational Readiness: Participate in on-call schedules to address critical operational incidents and data pipeline issues as needed.
• Performs all other related duties as assigned.

How will you get here?

• Have 3-5 years of practical experience in data engineering, software development, or data analytics with hands-on exposure to modern data platforms.
• Hands-on familiarity with writing clean Python code, consuming REST APIs, and working with modern AI frameworks.
• Ability to work independently and as a member of a cross-functional team across the globe.
• Strong willingness to learn enterprise systems (like SAP) and innovate new solutions.
• Passionate about applications, analytics, and end-user productivity.
• Exceptional customer focus.
• Degree with major in computer science, data science, software engineering (or equivalent) from an accredited university (preferred).
• Master's degree in computer science or related technical field from an accredited university (desired).

Tool & Technology Skills

• Programming & SQL: Strong proficiency in Python (Pandas, API integration) and complex SQL queries (Must have).
• Modern Data Stack: Practical experience with Databricks, PySpark, or similar cloud data platforms (Must have).
• AI & API Integration: Experience working with LLM APIs (e.g., OpenAI, Anthropic, Azure OpenAI) or building API-driven integrations/prototypes (Must have).
• SAP Knowledge: Basic familiarity with SAP data structures or exposure to tools like SAP BW/4HANA, SAP Datasphere, CDS views, or SAP Business AI (Desirable).
• Protocols & Frameworks: Exposure to Model Context Protocol (MCP) concepts or orchestration frameworks like LangChain/LlamaIndex(Desirable).
• BI & ETL Tools: Familiarity with traditional BI reporting tools (e.g., SAP BOBJ, Power BI) or SAP Analytics Cloud(Desirable).

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