Machine Learning Engineer | Geneva
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Position Overview & Specifications
We are looking for Machine Learning Engineer- Poland based.
Duration: Permanent-Fulltime
Technical stack : Python, Gitlab, Docker
OS : UNIX
Job Description:
We are seeking a Machine Learning Engineer to manage the machine learning pipeline solution and development ecosystem for the AI team. The successful candidate will have a strong understanding of machine learning concepts and algorithms, as well as experience with data processing and storage technologies such as Hadoop, Spark, and NoSQL databases. Additionally, this role will assist the AI team in daily tasks around the Unix environment and manage the computation server.
Responsibilities:
- Manage the machine learning pipeline solution that builds the models.
- Train and assist the AI team in the use of the machine learning pipeline.
- Propose evolutions to enable data processing for everyone in the team.
- Manage the development ecosystem of the AI team, including Gitlab and ensure best practices are followed.
- Maintain the whole solution, including the computation server.
- Assist the AI team in daily tasks around the Unix environment, including the automation of various tasks using batch scripting
Qualifications:
- Bachelor's or Master's degree in Computer Science, Engineering, or a related field.
- At least 2 years of experience in machine learning model development and data processing, preferably with Python.
- Strong understanding of machine learning algorithms and data processing concepts.
- Familiarity with data storage technologies such as Hadoop, Spark, and NoSQL databases .
- Experience with Gitlab and implementing CI.
- Proficient in batch scripting for Unix technology watch on Data processing, ML Engineering solutions etc…
- Excellent problem-solving and analytical skills.
- Excellent communication and teamwork skills.
- Handle the support of the whole development ecosystem configuration (Gitlab, Devpi, Autoops…) - Become the SME of the team when it comes to deal with Machine Learning ecosystem - Achieve to convert every AI Engineers’ Data processing needs in reality - Demonstrate the ability to steer project or small initiatives on the Machine Learning Engineering components of the team - Conduct some technology watch and propose alternative/evolutions for the tools used in the team
Job Types: Full-time, Permanent
Salary: £33,033.43-£97,740.69 per year
Schedule:
- Day shift
- Monday to Friday
Education:
- Bachelor's (preferred)
Work Location: Remote
Candidate Selection & Onboarding Process
Application & Resume Screening
Submit your tailored CV/Resume directly to the talent acquisition portal.
Technical & Competency Interviews
Virtual interviews with the hiring manager and multidisciplinary team.
Formal Offer & Benefits Negotiation
Written agreement outlining compensation, equity, retirement vesting, and relocation allowances.
Onboarding & Corporate Integration
Equipment provisioning, team orientation, and commencement of duties.
United Kingdom Right to Work & Skilled Worker Visa Guide
Employment in the United Kingdom requires legal Right to Work verified under the Home Office Points-Based Immigration System:
Sponsoring employers must hold an active Home Office A-rated Sponsor License and assign a valid Certificate of Sponsorship (CoS). Role must meet the general minimum salary threshold (£38,700) or occupation going rate.
Continuous employment under Skilled Worker status establishes eligibility for Indefinite Leave to Remain (ILR) after 5 continuous years, leading to British Citizenship.
Candidate Preparation Blueprint: Information Technology Support Services
Based on transatlantic hiring benchmarks for Machine Learning Engineer | Geneva roles across IGT Solutions's corporate sector, successful applicants typically excel across three core dimensions:
Demonstrated portfolio evidence, architecture/system design case studies, or validated professional certifications directly applicable to Information Technology Support Services.
STAR method competency responses highlighting cross-functional leadership, conflict resolution, and delivering measurable enterprise ROI under tight timelines.
Total compensation expectation aligned within the benchmarked £33,033 - £97,741 bracket, including retirement vesting and health parity.
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