Machine Learning Engineer
Machine Learning Engineer
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Job Description
At Syngenta we believe every employee has a role to play in safely feeding the world and taking care of our planet. To support that challenge we are currently seeking a Machine Learning Engineer. As a Machine Learning Engineer at Syngenta you will work within a multidisciplinary global team to discover define and design experiences that empower researchers to work more effectively and efficiently by utilizing our data-driven solutions.
Duties:
- Design build and maintain scalable machine learning solutions in production environments
- Contribute across the full lifecycle of machine learning projects including problem definition data exploration model selection performance evaluation and deployment
- Develop robust maintainable code for AI model serving and inference optimization
- Architect prompt engineering systems and LLM orchestration frameworks
- Collaborate with product managers and engineers to integrate ML systems into user-facing products
- Implement robust software engineering practices for ML systems including version control testing and CI/CD pipelines
- Stay current with the latest ML techniques and propose adaptations and improvements to internal practices
Qualifications :
- Masters or Doctoral degree in Computer Science Mathematics Statistics Engineering or a related field
- 5-8 years of experience in a machine learning engineering role with solid software development practices
- Proficiency with machine learning frameworks and libraries (e.g. PyTorch TensorFlow Keras scikit-learn XGBoost) and data manipulation (e.g. Pandas/Polars SQL)
- Experience applying ML to both structured (tabular) and unstructured (text image) data
- Knowledge of modern AI approaches including large language models agentic orchestration and generative AI applications
- Solid understanding of data fundamentals machine learning algorithms and statistical methods
- Strong programming skills in Python with emphasis on writing production-quality code proficiency in SQL
- Knowledge of cloud services (e.g. AWS GCP Azure) and containerization technologies (e.g. Docker)
Preferred:
- Experience optimizing models for production deployment and inference
- Experience with ML monitoring observability and evaluation frameworks
- Experience implementing agentic AI systems
- Familiarity with LangGraph or similar agentic LLM orchestration frameworks
- Familiarity with vector databases and embedding models for information retrieval
- Experience fine-tuning language models
Additional Information :
What We Offer:
- A culture that celebrates diversity & inclusion promotes professional development and strives for a work-life balance that supports the team members. Offers flexible work options to support your work and personal needs.
- Full Benefit Package (Medical Dental & Vision) that starts your first day.
- 401k plan with company match Profit Sharing & Retirement Savings Contribution.
- Paid Vacation Paid Holidays Maternity and Paternity Leave Education Assistance Wellness Programs Corporate Discounts among other benefits.
- Salary for this role is $102900 to 191000 per year.
Syngenta has been ranked as atop employerby Science Journal.
Learn more about ourteamand ourmission here: is an Equal Opportunity Employer and does not discriminate in recruitment hiring training promotion or any other employment practices for reasons of race color religion gender national origin age sexual orientation marital or veteran status disability or any other legally protected status.
WL: 5B
#LI-NL2 #LI-REMOTE
Remote Work :
Yes
Employment Type :
Full-time
Employment Type
Remote
