Senior Machine Learning Engineer
Senior Machine Learning Engineer
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Job Description
Your job:
- Implement and productionise ML-based services using Sagemaker
- Work on NLP and LLM projects applying your expertise to contribute to and build on our existing solutions.
- Utilize IaC and CI/CD best practices to increase the efficiency in deployment and management of resources.
- Collaborate with our Data Scientists team to design and implement ML workflows.
- Participate in code reviews contributing to our culture of continuous improvement.
- Communicate effectively with team members and stakeholders explaining complex machine learning concepts in a clear and concise manner.
This is how we will work together:
- You will join an established team owning self-hosted LLM-based internal services
- You have influence on design planning and implementation of technical solutions.
- You will be collaborating closely with Data Scientists Data Engineers and Cloud Developers
Qualifications :
Qualifications
- Strong team player willing to learn from and contribute to an experienced team
- High engagement proactivity and sense of ownership
- 5 years of experience in Machine Learning Engineering Data Engineering or a related field
- Proficiency in production-level Python (Clean SOLID)
- Industry experience in Amazon Sagemaker deployment
- Experience in deploying and scaling LLMs in production
- Experience with IaC (Terraform) CI/CD (Atlassian Bamboo) and test automation best practices.
- Excellent communication skills in English both written and verbal.
- Bachelors degree in Computer Science or a related field. Masters degree is preferred.
- Experience in Natural Language Processing (NLP) projects is a plus.
- Experience with PyTorch or transformers is a plus.
- Experience with managed Vector DBs is a plus.
Our expectations:
- You contribute to technical discussions with our team Product Manager and Stakeholders
- You are proactive focused on delivery and value creation.
- You work self-sufficiently in an autonomous team.
- You have experience working in Scrum or empowered teams with multiple roles.
Additional Information :
We believe in supporting our team members both inside and outside the office. We strive to ensure that your job enriches your life. Here are just some of the benefits we offer:
- Premium medical and dental care
- Life insurance
- Flex Benefits - Worksmile Cafeteria System (Multisport vouchers tickets etc.)
- Employee Referral Program
- Hackathons Knowledge Sharing Hours In-house projects
- Tech and sport communities
- Events and integration parties
- Charity initiatives including 2 extra volunteer days
- English/German language classes
- A supportive and inclusive workplace that promotes professional and personal growth for everyone
- Flexible working hours and hybrid work model to support worklife balance.
Our commitment
At The Stepstone Group diversity and inclusion are key to our success. We encourage applications from everyone regardless of gender identity sexual orientation disability status ethnicity belief age family or parental status or any other characteristic. We are particularly passionate about attracting more women into tech and leadership roles and provide an environment that supports your growth. We offer mentoring and support networks to help women and underrepresented colleagues grow into senior and leadership roles.
Remote Work :
No
Employment Type :
Full-time
Employment Type
Full-time
