Engineer III, Artificial Intelligence

Work Schedule

Standard (Mon-Fri)

Environmental Conditions

Office

Job Description

Job Title – AI/ML Engineer Job Location: Bangalore, India

About Company

Thermo Fisher Scientific Inc. is the world leader in serving science, with revenues of more than $40 billion and approximately 1,20,000 employees globally. Our Mission is to enable our customers to make the world healthier, cleaner, and safer. We help our customers accelerate life sciences research, solve complex analytical challenges, improve patient diagnostics, deliver medicines to market and increase laboratory productivity.

About Team

We are Automation, AI and Data (AAD) team that caters to data engineering and analytics, automation and AI solutions for various groups and divisions within Thermofisher Scientific.

Job Functions

• Design, develop, and deploy machine learning models and AI applications.

• Preprocess, clean, and analyze large datasets for training and testing.

• Implement deep learning, natural language processing (NLP), and computer vision algorithms.

• Optimize and fine-tune models for performance, accuracy, and efficiency.

• Collaborate with data engineers, software developers, and business stakeholders.

• Develop and maintain scalable AI pipelines and infrastructure.

• Monitor and evaluate model performance, ensuring continuous improvement.

• Stay updated with the latest advancements in AI, ML, and deep learning.

• Implement microservices architecture to build scalable and resilient software solutions.

• Use Cloud platforms like AWS, Azure to deploy and run software applications.

How will you get here?Education

• Bachelor’s/master’s degree in computer science, AI, Data Science, or a related field.

Experience

• 5+ years of experience in AI/ML engineering

• Strong programming skills in Python, TensorFlow, PyTorch, or similar ML frameworks.

• Experience with NLP, reinforcement learning, or generative AI models.

• Familiarity with big data technologies like Spark, Hadoop, or Databricks.

• Experience with cloud platforms (AWS, GCP, Azure) and MLOps practices.

• Solid understanding of algorithms, data structures, and statistics.

• Hands-on experience with data preprocessing, feature engineering, and model training.

• Proficiency in deploying ML models using APIs, Docker, or Kubernetes.

• Strong problem-solving skills and the ability to work in a team

• Experience in agile development methodologies to deliver solutions and product features.

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 on the basis of race, color, religion, sex, sexual orientation, gender identity, national origin, protected veteran status, disability or any other legally protected status.