Hybrid Staff Engineer, Artificial Intelligence at Thermo Fisher

Work Schedule

Environmental Conditions

Job Description

Job Title – AI/ML Architect

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.

What will you do?

We are looking for an experienced AI/ML Architect to design and lead the implementation of advanced AI and machine learning solutions. This role involves defining scalable AI/ML architectures, optimizing model performance, and collaborating  with different business units and divisions in Thermo Fisher to integrate AI capabilities into business applications. The ideal candidate will have a strong background in machine learning, cloud computing, and software architecture.

Job Functions

• Design and architect end-to-end AI/ML solutions, ensuring scalability, security, and efficiency.
• Guide data scientists and engineers in developing, training, and deploying machine learning models.
• Define best practices for MLOps, including model versioning, monitoring, and retraining strategies.
• Develop AI frameworks and reusable components to accelerate AI adoption across the organization.
• Collaborate with stakeholders to understand business requirements and align AI solutions accordingly.
• Optimize data pipelines and AI infrastructure to support high-performance model training and inference.
• Evaluate emerging AI technologies and recommend suitable tools, frameworks, and methodologies.
• Ensure compliance with AI ethics, governance, and data privacy regulations.
• 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/Ph.D. in Computer Science, Artificial Intelligence, or a related field

Experience:

• 8+ years of experience in AI/ML engineering, including at least 3 years in an architectural role
• Extensive experience in AI/ML model development, deployment, and lifecycle management.
• Expertise in machine learning frameworks (TensorFlow, PyTorch, Scikit-learn) and cloud platforms (AWS, GCP, Azure).
• Strong programming skills in Python, Java, or C++
• Proficiency in MLOps tools (Kubeflow, MLflow, Airflow, Docker, Kubernetes).
• Deep understanding of distributed computing, big data technologies (Spark, Hadoop), and scalable data pipelines.
• Experience with NLP, deep learning, reinforcement learning, or generative AI.
• Experience in AI-driven business transformation and enterprise AI strategies.
• Familiarity with edge AI, IoT, or real-time AI processing.
• Knowledge of ethical AI frameworks and responsible AI principles.
• Strong problem-solving skills and ability to mentor AI/ML teams.
• 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.