Senior AI/ML Engineer
8 часов назад
FAVBET
Tech develops software that is used by millions of players around the world for the international company FAVBET Entertainment.
We develop innovations in the field of gambling and betting through a complex multi-component platform which is capable to withstand enormous loads and provide a unique experience for players.
FAVBET
Tech does not organize and conduct gambling on its platform. Its main focus is software development.
We're looking for an experienced
AI/ML Engineer
with a strong focus on
deploying and maintaining machine learning models in production
. The ideal candidate has hands-on experience with
CI/CD for ML
,
AWS SageMaker
(or similar tools), and a solid understanding of
MLOps practices and ML infrastructure
.
Responsibilities:
- Work on continuous product improvement.
- Collaborate with marketing and product teams to understand business needs and deliver data-driven solutions.
- Design, develop, deploy, and maintain advanced machine learning models.
- Enhance and optimize existing machine learning models.
- Analyze large-scale datasets to uncover actionable insights that drive business and product outcomes.
- Clearly present analytical findings and model results to business stakeholders.
Requirements:
- At least 3 years of experience in designing and implementing modern ML solutions.
- Proficiency in data mining and analysis.
- Strong knowledge of Python, including libraries such as scikit-learn, LightGBM, Keras/PyTorch/JAX.
- Proficiency in SQL, including writing optimized queries.
- Experience with version control systems (e.g., GitHub, GitLab, Bitbucket).
- Experience with cloud data platforms (preferably AWS) for ML tasks (S3, Athena, RDS, Redshift, Lambda, SageMaker, ECR).
Would be a plus:
- Deep experience with MLOps tools and practices (e.g., SageMaker, CI/CD, MLflow, DVC).
- Experience with feature stores.
- Hands-on experience in designing, running, and interpreting A/B tests.
We offer:
- 30 days off — we value rest and recreation.
- Medical insurance for employees and the possibility of training employees at the expense of the company, and gym membership.
- Remote work or the opportunity — our own modern lofty office with spacious workplace, and brand-new work equipment (near Pochaina metro station).
- Flexible work schedule — we expect a full-time commitment, but do not track your working hours.
- Flat hierarchy without micromanagement — our doors are open, and all teammates are approachable.
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