Jobs Python

We're looking for a mid-to-senior Python data engineer to join the data team of a fast-growing, privacy-focused fintech (Series A). The company is backed by a global credit bureau and a major retailer, and has teams across South Africa, the UK, the US, the UAE and Brazil.

Its platform lets banks and lenders work with retailer and telco data without raw personal data ever changing hands. The main goal is to help people with no credit history get access to credit.

Your purpose in this role is to lead the move of legacy SQL Server / Azure Synapse pipelines onto open-source Apache Spark and Delta Lake. You'll write production software, not notebook scripts.

Logistics

• Location: fully remote, Europe 
• Working hours: South Africa time zone (UTC+2, the same as Kyiv and one hour ahead of Warsaw). Senior leadership is on US Eastern time.
• Employment: full-time. Contract type (B2B or permanent) and salary band to be confirmed.

• Level: Mid-Senior, about 4–8 years of experience

   

What you'll do

• Rebuild legacy T-SQL stored-procedure logic as typed, tested PySpark pipelines
• Prove that the new pipelines match the legacy outputs
• Build FastAPI services that run and report on pipeline jobs
• Add provider-neutral LLM features (local and hosted models) to the data workflows
• Work in a spec-first codebase: design docs and ADRs, with tests and documentation shipped alongside every change

Core stack

Python, PySpark, Spark SQL, Delta Lake, FastAPI, pytest, Docker, T-SQL, LLM integration

Requirements

• Python as your primary production language: modern typed Python (3.10+, ideally 3.12), with type hints that pass pyright or mypy, and Pydantic models
• 2+ years running production Apache Spark / PySpark pipelines, using the DataFrame API and Spark SQL, partitioning and performance tuning, and with a solid grasp of the driver/executor architecture
• Maintainable, tested code (pytest), with tooling such as uv or Poetry and a CLI framework such as Click
• Based in Europe or South Africa and happy to work UTC+2 hours

Strong advantages

• Experience migrating SQL Server / Synapse / stored-procedure logic to Spark and proving output parity with the legacy system
• Open-source or self-managed Spark (Spark on Kubernetes, EMR, Dataproc, Spark Connect), not only Databricks notebooks; Hive Metastore, Trino, Apache Ranger
• FastAPI services with request validation, HMAC-signed auth, idempotency and job-status semantics
• LLM features: prompt construction, structured-output validation, local models (Ollama, vLLM, llama.cpp), evaluation and guardrails
• Privacy engineering: PII tokenisation and hashing, k-anonymity, GDPR/POPIA, multi-tenant isolation
• Fintech, banking, credit-bureau, adtech-measurement or retail-data background
• Observability: structlog, OpenTelemetry, OpenLineage
• Azure (ADLS, Synapse) and a Databricks Certified Spark Developer credential

We're looking for a mid-to-senior Platform Engineer to join an early-stage AI company in Stockholm. The company builds agentic AI for intellectual property and legal teams, and its platform serves Fortune 500 customers with long-running, document-heavy workloads. The purpose of the hire is to own the Kubernetes platform underneath the product. As concurrent agent sessions grow from hundreds to thousands, you'll keep the infrastructure fast, secure and resilient. We want a software engineer at heart who builds the platform as code and cares about reliability, performance and cost.

Role at a glance

• Location: Stockholm, Sweden (on-site)
• Employment: Full-time
• Seniority: Mid-Senior
• Core stack: Kubernetes, Azure, Terraform / Infrastructure as Code, TypeScript, Python, distributed systems

What you'll do

• Own and evolve the Kubernetes platform for heavy, long-running workloads
• Design and scale distributed systems that handle unpredictable load
• Build the services that run the platform, in TypeScript and/or Python
• Automate infrastructure with Infrastructure as Code
• Balance reliability, performance and cost with a product mindset

Must have

• Deep expertise in Kubernetes and cloud infrastructure
• Hands-on Infrastructure as Code experience (e.g. Terraform)
• Strong software engineering background, with production experience in TypeScript and/or Python
• A proven track record of designing and scaling distributed systems in production

Nice to have

• Experience running AI or inference-heavy workloads at scale
• Experience with enterprise security, compliance and data residency
• Direct experience with Azure and Terraform

Process

1. Short intro call with me
2. Technical and experience-based conversation
3. Further steps with the client

Keymakr is a leading provider of high-quality data annotation services for machine learning and artificial intelligence applications. We specialize in delivering accurate and scalable annotation solutions that empower businesses to develop cutting-edge AI models. Our team is dedicated to excellence, innovation, and customer satisfaction.

We are looking for a motivated Junior Python Software Engineer to help build, maintain, and improve internal tools and services. This role offers a great opportunity to grow your technical skills while contributing to real-world projects and automation processes.

Technical Skills:

• 2+ years of experience in Software development  
• 1+ years of practical experience with Python.
• Knowledge of RESTful API design and implementation.
• Experience in scripting and automating workflows, including working with APIs for task automation.
• Understanding of software design principles, particularly SOLID.
• Basic knowledge of Linux systems and familiarity with the Linux command line.
• Proficiency with version control systems (e.g., Git, GitHub, Bitbucket).
• Practical experience with web frameworks like Flask, Django, or FastAPI.
• Familiarity with Celery, Redis, and RabbitMQ.
• Hands-on experience with containerization tools like Docker.
• Skilled in writing unit and integration tests.
• Knowledge of cloud platforms (e.g., AWS, Azure, GCP)

Problem-Solving Skills:

• Strong analytical thinking and problem-solving capabilities.
• Ability to debug, troubleshoot, and optimize code effectively.

Nice-to-Have Skills:

• Basic understanding of frontend technologies (HTML, CSS, JavaScript).
• English at an intermediate level or higher (to read and understand technical documentation).
• Familiarity with Agile development methodologies.
• Understanding of CI/CD pipelines and DevOps practices.

Responsibilities:

• Developing and maintaining tools and applications for the company’s infrastructure.
• Designing, supporting, and maintaining internal services.
• Transforming and storing data in various formats (e.g., JSON, XML, CSV).
• Automating workflows using APIs.
• Researching, configuring, and integrating third-party software into company processes.
• Providing general IT support and troubleshooting.

RedCore is an international business group that creates technological solutions for digital markets. Our products and services cover fintech, marketing, e-commerce, customer service, communications, and regulatory technologies.
 

We are looking for a Team Lead Python to join our team!

Requirements:
- 5+ years of commercial Python development experience.
- 1+ years as a Team Lead.
- Experience with Docker, Kubernetes, CI/CD and cloud environments.
- Understanding REST, experience with different protocols (especially http and gRPC))
- Experience with databases (MongoDB/PostgreSQL/MySQL/Redis) and messaging systems (NATS, Kafka, RabbitMQ or similar).
- Strong engineering practices (code reviews, testing, clean code) and people management skills.

Will be plus:
- Experience with Grafana/LGTM, Datadog or similar observability tools.
- Experience with DORA metrics or engineering performance metrics.
- On-call experience.

Responsibilities:

- Lead a team of backend engineers, providing technical guidance, mentoring and regular feedback.
- Own the team's technical delivery—from planning and estimation to releases and production support.
- Drive code quality, architecture decisions and continuous improvement of existing services.
- Collaborate with Product, QA, DevOps and other stakeholders to ensure predictable delivery.
- Hire, onboard and develop engineers while fostering a culture of ownership and accountability.

Our benefits to you:

- Paid annual leave.

- Paid days off.

- RedCore TEAM corporate gamification system.

- Annual corporate events for employees.

- Reimbursement of business travel expenses.

- Flexible working format and start time.

- Employee learning and development system.

- Mentoring program.

- Overtime compensation.

- Referral program with a cash bonus.

- Corporate psychologist.

- Cafeteria benefit system: sports, insurance, language learning (depends on region).

Project Description:

You will join a long-term, enterprise-scale project for a global client in the investment banking domain. The project focuses on building and evolving a set of mission-critical backend services that support complex business workflows, regulatory processes, and system integrations across the bank's ecosystem.

The platform is based on a distributed microservices architecture, leveraging Spring Boot, event-driven communication, and BPM-driven process orchestration. The system operates in a cloud-enabled, containerized environment, with a strong emphasis on security, scalability, resiliency, and maintainability.

You will work closely with architects, QA engineers, DevOps, and business stakeholders in an agile setup, contributing not only code but also technical direction, best practices, and mentoring.

Responsibilities:

The Python Engineer's role is to design and implement scalable, production-grade backend systems and microservices. The person we are looking for should be able to develop clean, maintainable codebases, build and scale distributed services, implement well-known communication and integration patterns, and apply best practices for large-scale distributed systems.

Mandatory Skills Description:

• At least 8+ years of practical experience in Python development and delivering production systems.
• Advanced Python proficiency, especially in scalable, clean code architecture and microservices (e.g., FastAPI, AsyncIO)
• Solid understanding of API integration patterns and inter-service communication (e.g., REST, Kafka)
• At least two backend/data-intensive solutions successfully delivered to production, ideally involving high-throughput APIs, data pipelines, or search/retrieval systems
• Practical knowledge and hands-on experience with: Relational and NoSQL databases (e.g., PostgreSQL, MongoDB), caching layers (e.g., Redis), message queues, and containerization (Docker, Kubernetes)
• Strong grasp of software engineering fundamentals: data structures, algorithms, concurrency, asynchronous programming, and API design (REST/gRPC)
• Solid understanding of testing practices: unit, integration, and end-to-end testing (e.g., pytest), plus CI/CD pipelines
• Ability to evaluate trade-offs and select appropriate tools, frameworks, and architectural patterns for a given problem
• Experience with PoC development and iterating quickly based on results
• Familiarity with cloud platforms (e.g., Azure, AWS, GCP) and infrastructure-as-code
• Strong debugging, profiling, and optimization skills for high-performance Python applications

Nice-to-Have Skills Description:

• Familiarity with agentic frameworks such as LangChain/LangGraph, LlamaIndex, or similar
• Practical experience integrating LLMs (e.g., OpenAI, Anthropic) into production applications, including prompt engineering and tool/function calling
• Knowledge of RAG architectures, embeddings (e.g., OpenAI), and vector databases (e.g., FAISS, Azure AI Search)
• Awareness of LLM evaluation, guardrails, and cost/latency trade-offs when designing AI-powered services

Languages:

English: B2 Upper Intermediate

We're looking for a Senior Quant Developer for a specialized fintech company that builds front-office software for commodities trade risk assessment. The company was founded in 2015 by alumni of London investment banks and hedge funds. The product is used by traders every day. You would join a developer-driven team that prefers writing new code to maintaining legacy systems. You'd design, build and test core front-office components, data pipelines and market data ingestion tools. This role suits an academically strong engineer who enjoys hard technical problems, and who likes working at a whiteboard with colleagues in the office.

Details

• Location: Warsaw (Powiśle), hybrid, with most days in the office
• Employment: Full-time
• Level: Mid-Senior

What you'll do

• Design and develop front-office components used by traders daily
• Build and maintain data pipelines and ETL processes
• Own market data ingestion: streaming, time-series and high-frequency trade data
• Test your own work and contribute to the technical decisions of a small, specialized team

Requirements

• 5+ years of software engineering experience
• Expert-level Python
• Proven experience with streaming technologies such as Kafka and Redis
• Degree in Computer Science, Mathematics, Physics or a related field
• Strong knowledge of data structures and algorithms
• Ability to work from the Warsaw office most days (fully remote is not possible)

Tech stack

Python, SQL, NoSQL, Kafka, Redis, ETL, Time Series, AWS / Azure

Nice to have

• A PhD
• Experience in financial markets or commodities trade risk
• Cloud experience (AWS or Azure)
• Olympiad achievements (Informatics or Mathematics)
• A degree from the University of Warsaw (JSIM, CS, Math, Physics) or a background at Staszic / Matex

Interview process

1. Informal introduction: a casual chat with the founders
2. Technical assessment: a practical task to see how you code and solve problems
3. Team meeting: meet the people you'd be working with

Insiders is a fast-growing IT company which employs about 200 people. Our company focused on providing innovative digital services and cutting-edge technologies to solve complex business challenges.

We are located in Lviv and currently work in an office format. 

What we expect from the candidate:

- Experience in development using the Python programming language is required.

- Strong knowledge of frameworks such as Django, Django REST Framework (DRF), and FastAPI.

- Experience with database migrations using Alembic and Django ORM.

- Understanding of the fundamental principles of object-oriented programming is essential.

- Proficiency in working with databases such as MySQL and PostgreSQL is important.

- Experience with version control systems like Git is mandatory.

- The candidate must demonstrate seriousness and the ability to collaborate effectively both in a team and independently.

what we offer:

- free study in our Corporate English Academy

- growth and development opportunities for young developers even if you have no commercial experience

- regular salary review (after the completion of each contract)

- provision of Apple equipment

- comfortable office with all amenities not far from the center (uninterrupted internet, generator, tea and coffee, pastries).

- timely payment of salaries.

- corporate events, teambuildings, etc.

- working on projects side by side with Senior developers, which will give you the opportunity to learn and develop.

If you design and simulate circuits in Qucs-S and can explain your reasoning as clearly as you build, this role puts that skill to work. You’ll join a remote AI training project for a global AI company, solving real circuit design and simulation tasks in Qucs-S and walking through your workflow step by step, so AI systems learn how electronics engineers actually work. Fully remote, flexible hours, paid by the hour.

Your responsibilities will include:

• Design and simulate electronic circuits using Qucs-S.
• Work with analog, digital, and mixed-signal circuits.
• Run circuit analysis, including AC, DC, and transient simulations.
• Troubleshoot circuit issues and improve circuit performance.
• Complete advanced Qucs-S tasks and explain your workflow step by step.

• Write clear instructions and detailed prompts for circuit simulation tasks.

   

What we expect from you:

• Strong professional, hands-on experience with Qucs-S.
• Hands-on experience with electronic circuit design and simulation.
• Good understanding of SPICE simulation, circuit analysis, and electronic components.
• Experience troubleshooting circuits and analyzing simulation results.
• Access to Qucs-S and comfort recording your screen while you work.
• English at B2 level or higher.

• Ability to explain technical workflows clearly.

   

Nice to Have:

• A master’s degree or PhD in Electrical or Electronics Engineering.
• Experience with other circuit simulation or EDA tools.
• Professional experience in electronics or hardware engineering.

• Previous AI data experience (data annotation, RLHF, or AI model evaluation) is a plus, but not required

   

What we offer:

• Hourly pay for real, hands-on engineering work.
• Fully remote work with a flexible schedule: you choose when you work.
• A chance to shape how next-generation AI understands electronics engineering.
• A short, simple selection process with a fast start.

About Us

We are a deep-tech company building state-of-the-art LLM-based assistants augmented with knowledge graphs. We are seeking a Senior Backend Python Engineer (7+ years of experience) to design and scale the backend infrastructure powering our AI platform.
 

Key Responsibilities

• Architect and implement scalable backend services and multi-tenant SaaS systems.
• Design and operate high-throughput data pipelines (both batch and streaming).
• Build APIs and services integrating LLM inference, retrieval systems, and knowledge graphs.
• Productionize research-grade AI systems into reliable, production-ready distributed systems.
   

Core Requirements (Must Have)

• Experience: 7+ years of hands-on backend engineering experience.
• Architecture & Data: Strong background in building high-throughput data pipelines and multi-tenant SaaS architectures.
• Programming: Deep proficiency in Python.
• Distributed Systems: Strong understanding of distributed systems and cloud-native environments.
• Kubernetes: Hands-on experience in the architecture, development, and deployment of Kubernetes-based systems.
   

Nice to Have

• Languages: Experience with Go and/or Scala.
• AI/LLM Ecosystem: Practical experience with LLM systems (RAG, model serving, evaluation).
• Graph & Vector Databases: Experience working with knowledge graphs, vector databases (e.g., Neo4j), or hybrid retrieval architectures.

Why Join Us? 

    🌍 Remote-first & flexible work

• Fully remote working model.
• Access to an office if there is one available in your location.
• Monday–Friday, 40-hour working week.

• Flexible working hours: schedule options between 08:00 and 19:00, including a 1-hour lunch break (the only requirement is a minimum of 5 hours of overlap with the team)

  🏖️ Vacation & sick leave

• 20 paid working days of vacation during the first year.
• 10 paid sick days per year (for childcare would also be covered), compensated at 100% of salary.

• Public holidays are days off by default.

  ❤️ Health & family benefits

• Medical insurance or medical insurance compensation.
• Company gifts for:
  • Birthday
  • Wedding
  • Birth of a child
• Paid lunches at the office.
• Family days etc.
• 📑 FOP / Individual Entrepreneur Support if needed
  🔄 Paid Bench period between projects
  🤝 No time-tracking software — transparent and trust-based time reporting.
  🎁 Referral Program

🌍 Location: North & South America (preferred), Poland, Ukraine & Eastern Europe
💼 Employment: Full-time | B2B
📅 Duration: 3+ months, potential extension
💰 Rate: Up to $25/hour
🚀 Seniority: Senior / Staff

About the Project

We are looking for an experienced Senior / Staff Software Engineer to join a product engineering team building a SaaS platform focused on marketing attribution, conversion tracking, and real-time data processing.

The primary focus of this role is to design and build a mobile attribution SDK from scratch, alongside developing real-time conversion APIs, tracking integrations, and scalable data pipelines.

This is a hands-on engineering position for someone who enjoys building production-grade products, designing reusable abstractions, and solving complex integration challenges.

What You'll Do

Mobile Attribution SDK (Greenfield Project)

• Design and develop a new mobile attribution SDK from scratch.
• Build and maintain JavaScript and iOS SDK components.
• Develop reliable tracking, attribution, and event collection mechanisms.
• Design reusable SDK architecture with performance, scalability, and maintainability in mind.
• Ensure seamless integration with client applications and backend services.

Conversion API & Real-Time Tracking

• Build and maintain real-time conversion tracking integrations using Python.
• Process tracking signals and forward conversion events to advertising platforms.
• Develop integrations with third-party advertising APIs, handling platform-specific requirements.
• Work with Google Pub/Sub and Shopify JavaScript tracking.
• Ensure data accuracy, reliability, and efficient event processing.

Data Pipelines & Product Engineering

• Design and optimize production data pipelines supporting SaaS product functionality.
• Build backend services and product integrations.
• Contribute to full-stack application features when needed.
• Participate in architectural decisions and technical design discussions.

Requirements

• 5+ years of commercial software engineering experience, preferably at Senior or Staff level.
• Strong production experience with Python.
• Hands-on experience developing JavaScript SDKs.
• Experience building or maintaining native iOS SDKs (Swift / Objective-C).
• Strong SQL skills and experience working with production databases.
• Solid understanding of SDK architecture, API design, event tracking, and asynchronous processing.
• Experience building customer-facing software products, not only internal tools or dashboards.
• Ability to design scalable engineering abstractions and make architectural decisions.
• Experience integrating third-party APIs.
• Strong problem-solving skills and ability to work independently.
• Fluent English for technical discussions and collaboration.

Nice to Have

• React Native SDK development experience.
• Android SDK development (Kotlin / Java).
• Experience with mobile attribution, mobile analytics, or marketing technology (MarTech).
• Familiarity with attribution platforms, conversion tracking, or advertising APIs.
• Google Cloud Platform (GCP).
• Google Pub/Sub, BigQuery, and Apache Airflow.
• Shopify tracking integrations.
• Experience with streaming architectures and event-driven systems.
• Previous experience building developer tools or SDKs from scratch.

Working Conditions

• Fully remote, full-time engagement.
• Initial project duration of 3+ months, with potential extension.
• Hourly rate up to $25 USD.
• Preference for candidates based in North or South America.
• Candidates from Eastern Europe, especially Poland and Ukraine, are also welcome, provided they can maintain working-hour overlap until approximately 22:00–23:00 local time.

Why Join?

• Build from scratch: Own the architecture and implementation of a new mobile attribution SDK.
• Real product impact: Work on customer-facing SaaS functionality used in production.
• Technical ownership: Influence architecture, SDK design, and integration strategies.
• Modern engineering challenges: Work with real-time data, advertising APIs, event streaming, and cross-platform SDKs.
• Remote collaboration: Join a distributed engineering team with meaningful technical autonomy.

Interested? Apply with your CV and briefly describe your experience developing JavaScript and/or iOS SDKs, especially any SDKs built from scratch.

We're looking for a Senior Backend / Platform Engineer to join an AI-first digital consultancy that helps large enterprises deploy agentic AI solutions across Europe. You'll build the core backend platform and orchestration layer that lets the company's Forward Deployed Engineers ship secure, reliable and reusable AI workflows to customers. If you've taken LLM or agentic features into production and enjoy the hard parts (orchestration, tool calling, state, observability, integrations), this role is for you.

Details: 

• Location: Remote, within Europe (EU-based)
• Employment: Full-time, B2B contract only
• Seniority: Mid-Senior
• Core stack: Python, TypeScript, distributed systems, APIs, queues, databases, OAuth, webhooks, LLMs, agentic AI, observability, data pipelines

What you'll do

• Design and build the backend platform and orchestration layer for agentic AI solutions
• Create scalable, asynchronous, queue-based systems in Python and/or TypeScript
• Implement LLM and agent patterns: tool calling, orchestration, state management
• Build enterprise integrations (OAuth, webhooks, REST APIs, SDKs) and data ingestion/normalisation pipelines
• Set up observability and evaluation for AI workloads: latency, cost, trace capture
• Enable Forward Deployed Engineers to reuse secure, reliable building blocks for customer projects

Must have

• 4–6 years in backend engineering, platform engineering or distributed systems
• Strong hands-on Python and/or TypeScript
• Practical production experience with LLM or agentic applications (tool calling, orchestration, state management)
• Experience with enterprise integrations: OAuth, webhooks, REST APIs, SDKs, data pipelines
• Degree in Computer Science, Software Engineering or a related field
• Based in the EU, available on a B2B basis

Nice to have

• Additional European languages beyond English
• Deep experience with enterprise integrations at scale

Interview process

1. Prepared technical assessment with the engineering team (1 hour)
2. Follow-up discussion (1 hour)

ZentixSoft is looking for a Senior Python + Data Systems Engineer! 🚀
 

Format: Full-Time Outstaffing, 100% Remote.

Location: North and South America (Priority). We also consider candidates from Eastern Europe (Ukraine, Poland) ready to overlap working hours up to 22:00–23:00 local time (EET/CET).
 

🏛️ Our Approach & Culture at ZentixSoft:

At ZentixSoft, we operate on trust and high autonomy. We have no micromanagement, no invasive time-trackers, and no minute-by-minute monitoring—we value a mature engineering mindset and freedom in decision-making.
 

🧩 Responsibilities:

• Streaming & Event-Driven Architecture: Design, build, and maintain real-time streaming data pipelines and event-driven architectures in Python.
• Conversion API & Integrations: Implement robust API integrations to process tracking signals and transmit them in real time to ad platform APIs.
• Product Data Pipelines: Develop analytical data processing pipelines integrated directly into our commercial SaaS application.
• System Architecture & Ownership: Own backend microservices, data ingestion, database modeling, and technical decision-making from concept to production.
   

🎓 Our Perfect Match (Requirements):

• Seniority & Mindset: Senior or Staff Engineer with a strong product-building mindset and high architectural ownership.
• Backend Stack: Deep commercial expertise in Python and advanced SQL database design.
• Data Systems: Hands-on experience with API integrations and real-time streaming/event-driven systems (e.g., Python streaming, message brokers).
• Schedule Overlap & Communication: Fluent English (Advanced/C1) and readiness to overlap with US time zones (up to 22:00–23:00 local time for EU-based engineers).
   

➕ Nice to Have:

• Hands-on experience with Snowplow or OpenSnowcat.
• Domain expertise in Conversion APIs, marketing analytics, tracking analytics, or e-commerce platforms (e.g., Shopify).
• Practical experience with GCP (Google Pub/Sub, BigQuery) and Apache Airflow.

About us

Farsight Vision converts flight footage into digital 2D and 3D twins for real-time intelligence in GNSS-denied environments, making analytics and situational awareness convenient and accessible while saving time and effort. We create multi-layered digital twins of terrain with dynamic tracking and object/landscape monitoring and predicting.

As a Computer Vision Engineer focused on Visual Place Recognition (VPR), you will own the models and pipelines that answer a critical question in the field: where are we? You will research, train, and ship VPR systems that work under viewpoint change, illumination shift, seasonal variation, and degraded imagery typical of real operations — not only clean academic benchmarks.

If you thrive in startup environments, are proactive, and enjoy turning research into reliable production systems, this role is a chance to shape core localization capability for a defense-tech platform used in live operations.

Responsibilities

• Own Visual Place Recognition end-to-end: problem framing, dataset curation, training, evaluation, and deployment into the FSV Platform.
• Design, train, and iterate on VPR models and retrieval pipelines — global descriptors, local feature matching, and hybrid approaches as the task requires.
• Work with and extend modern VPR / visual localization methods (for example NetVLAD, MixVPR, CosPlace, EigenPlaces, AnyLoc, DINOv2-based descriptors, SuperPoint / SuperGlue / LightGlue-style matching) and know when classical or learning-based methods fit better.
• Build robust training pipelines: data prep, augmentations for domain shift, hard-negative mining, loss design, hyperparameter search, and reproducible experiment tracking.
• Evaluate models beyond top-line recall — failure modes under night, blur, compression, seasonal change, and map–query domain gap; define metrics that matter for field use.
• Package and serve models for production inference (GPU and constrained / edge settings when needed), working with backend and MLOps on versioning, monitoring, and redeployment.
• Collaborate with backend, geospatial, and field teams to integrate VPR into mapping, localization, and digital-twin workflows.
• Use AI coding tools daily, and review, test, and stand behind every line and every model that ships.
• Run small PoCs on new architectures or training recipes, measure them honestly, and bring the team a reasoned recommendation.

Requirements

• 3+ years in computer vision / deep learning for real products or research transferred to production.
• Strong Python and hands-on experience with PyTorch (or equivalent) for training and debugging vision models.
• Proven experience with Visual Place Recognition, visual localization, image retrieval, or closely related geo-localization / SLAM-adjacent perception.
• Ability to train and fine-tune VPR / retrieval models from scratch or from public checkpoints: datasets, losses, mining strategies, and evaluation protocols (e.g. recall@N, precision–recall under realistic splits).
• Working knowledge of modern VPR and matching literature and the judgment to pick methods for viewpoint, appearance, and domain shift — not only recreate paper numbers.
• Experience with large-scale feature indexes / ANN search (FAISS or similar) and practical retrieval system design.
• Solid understanding of CNN and transformer backbones, representation learning, and metric learning.
• Comfort debugging models and data issues that show up in the field (noisy labels, distribution shift, rare failure cases).
• Experience in a fast-paced environment with high ownership and ambiguous requirements.

Nice to have

• Published work or strong open-source contributions in VPR, visual localization, or image retrieval.
• Multi-view geometry, SfM / SLAM, or photogrammetry experience (COLMAP, OpenMVG, etc.).
• Geospatial stack: georeferencing, map alignment, GDAL, orthophotos, point clouds.
• Model optimization for deployment: ONNX, TensorRT, quantization, distillation.
• Video / sequential place recognition, temporal consistency, or map maintenance over time.
• Experience with aerial / drone imagery and GNSS-denied or contested environments.
• CUDA and GPU training at scale.
• Defense tech or dual-use background.

Security Eligibility

Our platform is actively used by the Armed Forces in live operations. As an Estonian-Ukrainian defense technology company handling sensitive operational data, we have a responsibility — legal, ethical, and practical — to ensure the integrity of everyone on our team.

All candidates must be able to confirm the following:

• Neither you nor your close relatives (parents, spouse, siblings, children) reside in Russia, Belarus, or temporarily occupied Ukrainian territories
• You have no regular personal, financial, business, or professional contact with individuals in those territories
• You consent to a deeper security verification if the process advances to later stages

If any of the above criteria are not met, please do not proceed with your application.

Why us

• With us, you will become part of a team of professionals who strive to contribute to the development of advanced technologies.
• We value teamwork and create an atmosphere of mutual support where everyone can unleash their potential.
• Flexible work schedule.
• Paid vacation and sick days.

Hiring process

1. Technical Interview (CV / VPR deep dive + practical discussion of training and evaluation).
2. PM & C-level management Interview.

Requirements:

• Strong production experience with Python and SQL.
• Experience developing JavaScript SDKs and iOS SDKs, ideally covering both.
• Ability to design and build a mobile attribution SDK from scratch.
• Experience building products, designing reusable abstractions, and making architecture decisions.
• Fluent English.
• Nice to have: React Native, Android SDKs, mobile attribution, mobile analytics, or GCP.

We offer:

• Attractive financial package

• Challenging projects

• Professional & career growth

• Great atmosphere in a friendly small team

• Flexible working hours

Requirements: 

• Strong production experience with Python, TypeScript, and SQL.
• Deep understanding of databases, data modeling, and query performance.
• Experience delivering product features and integrations across frontend and backend.
• Ability to design reusable abstractions and discuss architectural trade-offs.
• Fluent English.
• Nice to have: e-commerce, tracking analytics, GCP, Pub/Sub, BigQuery, or Airflow.

We offer:

• Attractive financial package

• Challenging projects

• Professional & career growth

• Great atmosphere in a friendly small team