Thermo Fisher Scientific AI Jobs - 4 Open Positions

Thermo Fisher Scientific is actively hiring for 4 AI and machine learning positions, concentrated in MLOps Engineer (3) and Data Engineer (1) roles. Posted salary ranges span $185K - $185K, with 75% of listings disclosing compensation. The median posted ceiling sits at $185K. Positions are based in TX, US, Raleigh, NC, US, Pittsburgh, PA, US. The most frequently requested skills across these postings are AWS, Azure, Python, RAG, AI Agents. Senior-level roles account for 75% of openings.

Skills & Technologies

AWS (4)Azure (4)Python (4)RAG (4)AI Agents (3)

Locations

TX, US, Raleigh, NC, US, Pittsburgh, PA, US, Carlsbad, CA, US

Hiring by Role Category

MLOps Engineer

3 roles

$143K – $185K

Data Engineer

1 roles

Open Positions (4)

Data Engineer

Data Analytics Engineer

TX, US

MLOps Engineer

Sr Staff IT Architect

Raleigh, NC, US $143K - $185K

MLOps Engineer

Sr Staff IT Architect

Pittsburgh, PA, US $143K - $185K

MLOps Engineer

Sr Staff IT Architect

Carlsbad, CA, US $143K - $185K

Frequently Asked Questions

Thermo Fisher Scientific currently has 4 open AI positions across roles including Data Engineer, MLOps Engineer. The most common positions involve applied machine learning, model development, and AI infrastructure. Check the job listings above for the latest openings and requirements.

AI roles at Thermo Fisher Scientific range from $185K - $185K based on current job postings. Compensation varies by role type, seniority, and location. Senior and staff-level positions typically fall at the upper end of this range, while mid-level roles cluster near the median. These figures reflect posted salary ranges and may not include equity, bonuses, or signing packages.

The most frequently requested skills in Thermo Fisher Scientific's AI job postings are AWS, Azure, Python, RAG, AI Agents. Python appears in the majority of listings, reflecting its dominance in the ML ecosystem. Candidates with experience in multiple skills from this list are more competitive, as most roles require a combination of programming, framework, and domain expertise.

Thermo Fisher Scientific's AI positions are based in TX, US, Raleigh, NC, US, Pittsburgh, PA, US. Location requirements vary by team and role. Some positions may offer hybrid arrangements even if listed as on-site. Check individual job listings for the most current location and remote work policies.