We are searching for a skilled Senior Data Scientist / Machine Learning Engineer to join our team, with a focus on finance-related machine learning processes.
Our candidate should have experience in data science, machine learning, MLOps and data engineering, enabling them to handle data at all stages of development.
This is a fully remote position that offers you the flexibility to work from any location in Armenia, whether it's your home or well-equipped offices in Yerevan or Gyumri.
#LI-DNI
Responsibilities
- Collaborate with cross-functional teams to ensure successful implementation and maintenance of ML models
- Conduct research and experiments with diverse data sets to enhance ML models' performance
- Manage complex data workflows and develop domain expertise
- Contribute to the improvement of end-to-end development processes and pipelines, from data collection to production deployment, including CI/CD processes
- Stay updated with emerging technologies and industry trends in data science and AI
- Support and mentor junior members of the team, fostering knowledge-sharing and growth
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- 4+ years of experience in data science, machine learning and MLOps
- Ability to conduct research and experiments to improve the performance of AI/ML models
- Hands-on project lifecycle experience, from business analysis to productization
- Strong proficiency in Python development, version control (preferably Git) anddatabases with SQL (e.g., MS SQL, Snowflake)
- Proficiency in AWS cloud platform (e.g., SageMaker, Step Functions, Glue, Lambda, SQS, ECS, S3, ECR, CloudWatch, IAM, MWAA)
- Solid grasp of containers and orchestration tools (e.g., Docker, CI/CD)
- English level: upper-intermediate or higher
- We connect like-minded people:
- Delivering innovative solutions to industry leaders, making a global impact
- Enjoyable working environment, whether it is the vibrant office or the comfort of your home
- Opportunity to work abroad for up to two months per year
- Relocation opportunities within our offices in 55+ countries
- Corporate and social events
- We invest in your growth:
- Leadership development, career advising, soft skills and well-being programs
- Certifications, including GCP, Azure and AWS
- Unlimited access to LinkedIn Learning and Get Abstract
- Free English classes with certified teachers
- We cover it all:
- Participation in the Employee Stock Purchase Plan
- Monetary bonuses for engaging in the referral program
- Comprehensive medical & family care package
- Four trust days per year for personal needs
- Discounts for fitness clubs
- Benefits package (hotels, restaurants, stores and services)