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We are currently looking for a candidate for the position of (F/M) Senior Machine Learning Engineer for our client from the pharmaceutical and biotechnology industry.
Job Responsibility:
Leading the evolution of the architecture of a live global recommender system
Designing and implementing MLOps practices including CI CD automation monitoring and ML experiment reproducibility
Collaborating with data scientists to move machine learning models from research to production on AWS SageMaker
Being an active hands on contributor to the Python codebase for data ML infrastructure and model deployment
Acting as a technical leader and mentor for data science and engineering teams
Working closely with product managers and business stakeholders to translate business needs into technical solutions
Identifying and advocating for new technologies and continuous improvements in ML and MLOps
Requirements:
Have at least 5 years of professional experience as a Machine Learning Engineer and have worked with production ML systems
Have strong programming skills in Python and solid knowledge of the data science ecosystem
Have experience designing building and maintaining scalable ML systems in a cloud environment preferably AWS
Have hands on experience with AWS SageMaker for training and deploying machine learning models
Have experience with at least one deep learning framework such as TensorFlow or PyTorch
Have practical experience with MLOps especially MLflow and CI CD pipelines in GitLab
Are able to design document and clearly communicate the architecture of complex ML systems and data pipelines
Can work closely with business stakeholders and translate business requirements into technical solutions
Have experience mentoring data scientists or engineers
Nice to have:
A Masters or PhD degree in Computer Science Artificial Intelligence Machine Learning or a related field
Experience building and developing recommender systems
Familiarity with model monitoring and observability tools such as Prometheus Grafana or Evidently AI
Excellent communication skills and the ability to explain complex technical decisions to diverse audiences
What we offer:
Long-term collaboration
Technical training, certifications, and skills development
Competence Center mentoring – being a member of the Competence Center community from day one is an opportunity to develop your skills, participate in various conferences, and share knowledge and experience with people who face the same challenges every day
Clear career path
Employee benefits package (Multisport, private healthcare, life insurance)
Friendly working atmosphere, team-building events, and team-building meetings