ML Engineer
Social Discovery Group
full-time
Posted on:
Location Type: Remote
Location: Serbia
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About the role
- Own a project end-to-end: from data and experiments to production and monitoring
- Improve existing recommender models (ranking/matching) and iterate via offline evaluation + A/B tests
- Build and refine value prediction signals (e.g., LTV@30, first purchase / conversion probability)
- Develop training and scoring pipelines; ensure data quality and reproducibility
- Deploy models to production (batch/API), package solutions into Docker, follow CI/CD practices
- Collaborate with Product and Analytics to define success metrics and turn results into product changes
- Share knowledge through code reviews, documentation, and mentoring within the team
Requirements
- 3+ years of hands-on classic ML development (from data exploration to production use)
- Strong Python for ML (pandas, NumPy, scikit-learn; solid coding and debugging skills)
- Solid understanding of ML algorithms and how to choose the right approach for a task
- Experience with recommender/ranking problems and their evaluation (offline metrics, A/B testing basics)
- SQL and experience working with large datasets
- Production ML experience: building training/inference pipelines, deployment, monitoring, Docker
- Cloud experience: AWS / GCP / Azure (at least one)
Benefits
- REMOTE OPPORTUNITY to work full time
- Vacation 28 calendar days per year
- 7 wellness days per year (time off) that can be used to deal with household issues, to lie down and recover without taking sick leave
- Bonuses up to $5000 for recommending successful applicants for positions in the company
- 50% payment for professional training, international conferences and meetings
- Corporate discount for English lessons
- Health benefits. According to the paychecks, if you are not eligible for corporate medical insurance, the company will compensate you with up to $ 1,000 gross per year per employee. This can be spent on self-purchase of health insurance or on doctor’s fees for yourself and close relatives (spouse, children)
- Workplace organization. The company provides all employees with an equipped workplace and all the necessary equipment (table, armchair, wifi, etc.) in our offices or co-working locations
- In the other locations, the company provides reimbursement of workplace costs up to $ 1000 gross once every 3 years, according to the paychecks. This money can be spent on the rent of the co-working room, on equipping the working place at home (desk, chair, Internet, etc.) during those 3 years
- Internal gamified gratitude system: receive bonuses from colleagues and exchange them for our merchandise, team building activities, massage certificates, etc.
Applicant Tracking System Keywords
Tip: use these terms in your resume and cover letter to boost ATS matches.
Hard Skills & Tools
machine learningPythonpandasNumPyscikit-learnSQLA/B testingrecommender systemsdata qualityproduction deployment
Soft Skills
collaborationmentoringdocumentationcode reviews