At SPD Technology, we bring together a team of like-minded people who are driven by the desire to bring value through their work, united in their commitment to high performance and delivering custom, cutting-edge tech solutions that drive clients’ growth. We empower our people with a culture of excellence and enable them with the opportunity to uphold their accountability to contribute on each level. We value humanity and collaboration, encourage professional and personal growth, and foster a supportive and flexible work environment where everyone’s contribution is welcomed.
We are looking for a Senior ML Engineer to join us as part of our team.
About the role
We’re looking for a Senior ML Engineer to join our dynamic AI team. In this role, you’ll be at the forefront of ML innovation, driving the research and development of cutting-edge ML solutions for the company and customers. You’ll work with new and innovative ML projects across different business (e.g. retail, finance) and technical (e.g. tabular data, computer vision, NLP) domains. If you’re passionate about ML, thrive in a fast-paced R&D environment, and love tackling complex problems, we encourage you to apply!
Team
Director of Data & AI, Senior AI Engineer
Work Environment
The role offers a flexible work schedule, allowing you to adapt your working hours with the requirement to attend all team meetings. The team follows a Scrum-based Agile methodology.
As a qualified expert, You will
- Solve business tasks using machine learning methods to obtain maximum effect
- Be actively involved in pre-sale activities for our customers
- Extract and transform data to implement Machine Learning models, feature engineering
- Design and implement Machine Learning models for different technical and business domains
- Deploy Machine Learning Solutions via Docker, REST API and AirFlow workflows
- Present the obtained results and insights to business customers
- Creation of necessary reports to monitor model performance
- Ongoing support of machine learning models, generation of ideas for their further improvement
- Research of new models, methods and tools for solving Machine Learning tasks, demonstrations and lectures based on the results of the research for the team
We’re looking for you if you have
- Education. Bachelor’s or Master’s degree in Computer Science, Artificial Intelligence, Machine Learning, or a related field.
- Experience. 2+ years of experience as a Machine Learning Engineer or Data Scientist with a strong portfolio of cases.
- Programming. At least 2 years of Python programming experience (including machine learning libraries like pandas, scikit-learn, etc). Experience with version control systems (GitHub, GitLab).
- Databases. At least 2 years of SQL experience (working with databases and data warehouses, writing queries and procedures)
- Data preparation. Skills in preparing different types of data for modeling. Feature engineering.
- Machine Learning. Skills in implementation of classic machine learning models (classification, regression, clustering).
- Deep Learning. Skills in implementation of deep learning models (computer vision, NLP).
- ML Interpretation. Skills in interpreting machine learning models and explaining their predictions.
- Cloud. Hands on experience with cloud platforms (AWS, GCP, Azure) for ML development and deployment.
- Deployment. Skills in deploying machine learning models via API (e.g. FastAPI) or batch workflows (e.g. AirFlow). Experience with containerization technologies like Docker.
- Excellent problem-solving skills and the ability to conduct independent research.
- Strong communication and presentation skills, with the ability to articulate complex technical concepts to both technical and non-technical audiences.
- English: At least an Upper – Intermediate level.
Bonus points
- Skills in preparing reports and dashboards to monitor model performance using PowerBI, Tableau
- Skills in AI systems development (LLMs, RAG, Agents)
- A/B testing skills
- Big Data Engineering skills (e.g. Data Lakes, Spark)
What’s in it for You
Reveal great tech solutions
Join the team of experts who create custom, cutting-edge tech solutions for world-renowned businesses, fueling client growth. Unleash your potential, tackle new challenges, and be part of a team that values your skills and contributions. Focus on long-term impact and building tailored, long-lasting partnerships with our clients.
Experience an agile and flexible working environment
Enjoy the freedom of fully remote work with a flexible working schedule. Empower yourself with a stable workload and a stable income, supported by provided laptops and licensed software. We focus on lasting cooperation and unite result-oriented individuals who stand on a high-performance approach to work.
Embrace the opportunity for personal and professional growth
Benefit from performance and merit reviews, elevate your skills with personal development plans, and individual learnings through the corporate library, public speaking support, and more.
Be among like-minded people
Work with a team of one mind who cares about what they do and how they do. Collaborate with top-notch experts who are always ready to help and support you through any challenges. Join company-wide tech and cultural events, and contribute to meaningful CSR initiatives that resonate with your values. Feel supported by your HR, and take advantage of our referral bonus program.
Interview steps
- Pre-Screening with the recruiter.
- Experience Interview (1.5h) – Includes Manager Interview + ML Systems Design.
- ML Coding Interview (1h).
