Senior Machine Learning Engineer
hace 3 semanas
Job Title: Senior Machine Learning Engineer
About the Role:
We are seeking a highly motivated and detail-oriented Machine Learning (ML) Engineer to join our dynamic team at Basf Se. In this role, you will be responsible for developing and maintaining the ML components. You will work closely with our senior developers to create high-quality, scalable, and responsive AI solutions.
Key Responsibilities:
- Design and build reusable ML templates and components to streamline the development of AI, ML, and Generative AI (GenAI) use cases
- Develop the LLMOps framework to extend the ML capabilities of the company to multiple teams, enabling reusability and standardization
- Collaborate with the DevOps team to develop, run, and automate CI/CD pipelines specifically for ML models and workflows
- Assist in monitoring cloud PaaS and IaaS components for availability, performance, and security as it pertains to ML models and services
- Ensure adherence to BASF compliance and security guidelines in ML and AI development
- Support and enable various AI, ML, and GenAI use cases on the DevHub Platform through effective model development and deployment
- Contribute to the improvement of internal development processes, particularly those related to ML and AI
Requirements:
- Proficiency in ML frameworks such as TensorFlow, PyTorch, or Scikit-learn
- Ability to design, implement, and manage machine learning models
- Expertise in Python
- Experience with Generative AI techniques and frameworks
- Demonstrated experience with cloud platforms, particularly Azure
- Ability to design, implement, and manage cloud infrastructure for ML and AI applications
- Experience with Terraform for provisioning and managing infrastructure
- Experience designing and implementing solutions to automate the experimentation and release cycle of machine learning, from traditional ML to LLM using CI/CD pipelines
- Experience with data preprocessing, feature engineering, and data pipeline development
- Experience with deploying, scaling, and managing ML models in Kubernetes environments
- Proven experience working in Agile environments
- Ability to approach problems with a product mindset, focusing on delivering value to end-users
- Excellent interpersonal and communication skills
- Strong analytical and problem-solving abilities
- Commitment to staying updated with the latest industry trends, technologies, and best practices
What We Offer:
- Responsibility from day one in a challenging work environment and on-the-job training as part of a committed team
- Adequate compensation according to your qualifications and experience
- A secure work environment because your health, safety, and wellbeing is always our top priority
- Flexible work schedule and Home-office options, so that you can balance your working life and private life
- Learning and development opportunities
- 23 holidays per year
- Another 5 days (readjustment days) and 2 days (cultural days)
- A collaborative, trustful, and innovative work environment
- Being part of an international team and work in global projects
- Relocation assistance to Madrid provided
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