Develop and deploy scalable, production-grade machine learning and AI solutions for financial research. Build LLM- and NLP-based applications, collaborate with senior engineers, and contribute to reliable AI-driven products. Responsibilities require Python, software engineering, deep learning, databases, Docker, and at least one major deep learning framework. Preferred experience includes RAG pipelines, vector databases, LLM fine-tuning, cloud platforms, and Kaggle competitions.
Description
We are building scalable, production-grade AI systems that make high-quality financial research accessible and data-driven.
We are looking for a Data Science / AI Engineer to develop and deploy machine learning and AI solutions, with exposure to LLM-based systems and modern NLP applications. You will collaborate with senior engineers to build scalable and reliable AI-driven products.
RequirementsRequirements:
- 3+ years of commercial experience as a Data Science / AI Engineer
- Strong Python skills and solid software engineering fundamentals
- 1+ year of experience with LLM and NLP-related tasks
- Understanding of modern deep learning architectures
- Experience with at least one deep learning framework (TensorFlow or PyTorch)
- Experience with SQL and NoSQL databases
- Good knowledge of Docker
- Strong knowledge of object-oriented programming
- Fluency in Ukrainian
- Upper-Intermediate or higher level of English (spoken and written)
Nice to Have:
- Hands-on experience with RAG pipelines and vector databases
- Experience training or fine-tuning LLMs
- Experience with cloud platforms (AWS, Google Cloud, Azure)
- Participation in Kaggle or similar competitions
Similar Jobs
Artificial Intelligence • Healthtech • Machine Learning • Natural Language Processing • Biotech • Pharmaceutical
Leads the technical direction, architecture, and delivery of developer-facing desktop, web, and MCP surfaces for Pfizer’s internal developer platform. Provides hands-on software engineering leadership, ensures secure and privacy-first designs, guides cross-team delivery, mentors engineers, oversees code quality and DevOps practices, and leads incident response and continuous improvement. The role influences teams without direct reports and requires expertise across frontend, desktop, backend, developer tooling, enterprise software delivery, and technical architecture.
Top Skills:
Ci/CdDevOpsElectronKanbanMicroservicesModel Context Protocol (Mcp)Restful ApisScrumVue
4 Days Ago
Big Data • Food • Hardware • Machine Learning • Retail • Automation • Manufacturing
Lead data governance capability building for a global food safety data intelligence project. Ensure data quality, consistency, and governance standards across plants, suppliers, business units, and regions. Support solution implementation, assess project risks, confirm go-live readiness, provide hyper-care support, and deliver status reporting. Collaborate with quality, project, and multifunctional teams while applying analytical, project planning, stakeholder management, and manufacturing-process knowledge.
Top Skills:
Data AnalyticsData Modeling
Artificial Intelligence • Consumer Web • Digital Media • Information Technology • Social Impact • Software
Develop and promote product quality across multiple engineering teams through exploratory, risk-based, automated, API, and integration testing. Build reliable test coverage, investigate complex application and CI failures, improve testability and feedback loops, identify systemic quality issues, and influence product and technical decisions. The role also supports quality strategy, reusable test infrastructure, developer tooling, and engineering productivity.
Top Skills:
AndroidApi TestingAutomated TestingCi/CdIntegration TestingiOSLoad TestingObservabilityPerformance TestingPlaywrightProduction MonitoringReact NativeTypescriptWeb Testing
What you need to know about the Calgary Tech Scene
Employees can spend up to one-third of their life at work, so choosing the right company is crucial, not just for the job itself but for the company culture as well. While startups often offer dynamic culture and growth opportunities, large corporations provide benefits like career development and networking, especially appealing to recent graduates. Fortunately, Calgary stands out as a hub for both, recognized as one of Startup Genome's Top 100 Emerging Ecosystems, while also playing host to a number of multinational enterprises. In Calgary, job seekers can find a wide range of opportunities.
