Jobs at Djinni

We run both  AI Girlfriend and AI Influencer Platforms.

 We've been working with SEO agencies and weren't always happy – so it's time to hire someone internally who leads and manages our products with full focus and 100% in our interest.

What we're looking for:
* Highly experienced Senior SEO Manager in competitive niches (Tier 1)
* Capable of leading an SEO project
* Technical SEO – we run a Next.js site, this is not WordPress
* Combination of White / Grey / Black Hat SEO
* Link building for adult products (AI Girlfriend)
* Experience with PBNs (top competitors are using them)
* Competitor analysis
* Bonus: Automation expert
* Bonus: Parasite SEO

What we offer:
* Base salary + SERP-based success compensation
* Ukrainian + German team (English / Ukrainian speaking)
* Agile, motivated team of around 15 people
* Lead the SEO project for AI Girlfriend Product 2 years old, 55 DR)
* Lead and build up SEO for AI Influnecer from the ground up (new)
* Work directly with the founders

Hybrid work for Lviv region candidates

Nestlé Business Solutions (NBS) is a global team delivering smart, efficient solutions that keep Nestlé running worldwide. We combine technology and collaboration to simplify processes and create real business value.

Are you ready to join a multinational company and a dynamic team?

We’re excited to offer an opportunity for Accounting Operations Accountant to join our finance team.

With you we will:  

• Execute daily activities and functions in General Ledger​
• Process Manual Journal requests and prepare account reconciliation along with other reports​
• Identify and investigate unreconciled balances, differences in balances of various source and subsidiary ledgers and/or reports​
• Participate in KPIs trends, root cause analysis of mistakes/errors and problem solving
• Ensure timeliness and accuracy of processes performed according to defined SLAs, root cause analysis of mistakes/errors and problem solving
• Participate in department meetings, meetings with partners

Key requirements:

• A professional with knowledge of either in Economics/Accountancy/Finance/International relations ;
• Good in analytics, planning, with organizational, time-management and communication skills;
• Precise and accurate with figures
• Able to work with big volume of data;
• Skilled in MS Office, particularly in MS Excel​;
• Have Intermediate English level or higher

Let’s Talk Benefits:  

• Competitive package: annual salary review and annual bonus, 28 paid vacation days, paid sick leave, medical insurance, IT Club discounts
• Work arrangements: hybrid in Lviv region or fully remote across Ukraine, official employment, standard schedule 9:00–18:00 with a flexible lunch break, company-provided equipment
• Corporate culture: international environment, diverse and inclusive teams, strong internal communities, knowledge sharing.
• Well-being: mental health support program
• Grow with us: onboarding & mentorship from day one (buddy program for newcomers), professional development opportunities
• Stay active: support for sports and wellness activities

• We care: socially responsible company values: 

   

Nestlé Business Solutions Lviv is where innovation meets opportunity. Join us and help create value for Nestlé and for millions of consumers worldwide.

Your Journey with Us:

CV review - Interview with Recruiter - Interview with Hiring Manager - Job offer - Welcome aboard!

Our client is reshaping the way small businesses access funding by offering a unified technology platform that connects business owners, lenders, and service providers. This platform simplifies the loan application process through a single online form, matching businesses with suitable funding opportunities from a broad network of financial partners. Their embedded solution also allows third-party platforms to integrate a complete lending experience into their own ecosystems. For financial institutions, the platform helps automate loan decisions, streamline underwriting, and provides access to pre-qualified applicants. Ultimately, this solution supports small business growth by making access to capital faster and more efficient.

Requirements:

● 6+ years of professional experience in software engineering
● strong hands-on experience with PHP/Laravel and Node.js (Express, TypeScript, MySQL)
● experience working with microservices and monolithic architecture
● understanding of accessibility standards and best practices
● experience in system design, including the architecture of scalable systems
● you love patterns and complex challenges, you know how to evaluate solutions and how to choose the right one based on experience and clever decision making
● english — upper-intermediate or higher

Would be a Plus:

● hands-on experience with Vue.js or Angular
● experience with AI-assisted development workflows and tools
 

What you will do:

● develop high-quality, fast, and reusable code
● work with us on the design and implementation of new services and products
● take ownership of features from design to implementation and testing to deployment

Why Rolique?
‍
● we believe in fairness, transparency and helpfulness in everyday work
● your personal development is important to us, therefore we promote the internal transfer of knowledge and strengthen your “zone of genius”
● 20 days of paid vacation and 5 days of sick leaves
● personal budget for courses, training, and certifications
● health support and sports compensation
● accounting support

Acropolium, together with its international partners, is working on a healthcare platform focused on building a scalable, modern system based on microservices architecture.

The project involves developing robust backend services, integrating multiple data sources, and ensuring high-quality, reliable solutions in a cloud-native environment.

You will join an international team contributing to a product with real-world impact in the healthcare domain.

Responsibilities

• Design, develop, and maintain backend services using C# and .NET (Core / .NET 8)
• Build and evolve microservices architecture
• Develop and integrate RESTful and SOAP APIs
• Work with SQL Server (T-SQL) and MongoDB
• Implement and maintain automated testing strategies
• Collaborate with DevOps, frontend teams, and stakeholders
• Contribute to CI/CD pipelines and cloud infrastructure (Azure)

Core Requirements

• Strong experience with C# and .NET Core (.NET 6/7/8 preferred)
• Solid understanding of microservices architecture
• Hands-on experience with REST APIs and SOAP services
• Strong experience with SQL Server (T-SQL) and MongoDB
• Experience with testing frameworks (XUnit, Postman, Cypress, Playwright)
• Experience working with Microsoft Azure
• Familiarity with CI/CD pipelines (GitLab CI/CD or similar)
• Experience with Docker and Kubernetes
• Understanding of Infrastructure as Code (Terraform)

Nice to Have

• Experience in healthcare / regulated environments
• Experience with artifact repositories (JFrog, Artifactory)
• Strong focus on code quality and testing culture

What You’ll Get

• 100% remote setup
• Stable mid-term project with extension
• Work on modern microservices architecture in healthcare
• Collaboration with international partners and distributed teams
• High engineering standards and structured environment

Location: Europe, ability to come to the office to receive the device in France. 
Workload: Full-time
Duration: 7 months + possible extension
Language: French from В2, English B1+

 

💬 Interested? Let’s connect.
Feel free to share your CV or recommend someone suitable.

Senior Design Verification Engineer
Your role:
• Own verification of IP’s and SoC’s in prototype and SoC design environment;
• Establish functional and performance benchmarks;
• Lead the definition, execution, and continuous improvement of a robust design verification (DV) methodology and tools flow across different verification platforms;
• IP and SoC design verification (DV), from the RTL level to emulation, resulting in fully functional and performant IP’s/SoC’s.
Your profile:
• Sound knowledge of SystemVerilog, and good experience in Constrained Random and Coverage Driven Verification with UVM/OVM
• Experience in creating any UVC components or sequences is a must
• Basic knowledge on at least two of these: AHB/AXI, PCIe/CXL, USB, DDR, Serial protocols, Processor Verification etc. Expertise in one protocol is a must for Senior and above.
• Should be comfortable in updating the existing verification environment for feature updates. (Bring-up/Architect UVM based Test bench from Scratch is a strong plus)
• EDA simulation/debugging tools agnostic.
• Good knowledge of Perl/TCL/Python scripting.
• Domain expertise on any one of these for senior and above: CPU processor/server, multimedia, automotive, Ethernet, Mobile
Our offer:
• Competitive Salary & Benefits;
• Knowledge and support from more experienced engineers;
• Respect for your private life and your choices;
• All tools required for high performance in your field;
• Responsible approach, long term commitments, and stability;

We are seeking a high-performing Senior Python Full-Stack Developer / AI Engineer to join the development of an innovative, advanced multimodal AI coaching and virtual therapy platform. The project is designed to help couples improve relationships and communication by utilizing a deterministic state-machine approach based on predefined behavioral and therapy protocols. This is a long-term, full-time engagement in an early-stage startup environment, offering high stability and the opportunity to heavily influence the AI architecture of a cutting-edge product.

Responsibilities
Develop, scale, and enhance the core AI microservice.
Build and optimize complex LLM orchestration workflows and LangGraph-based multi-protocol conversation workflows.
Implement deterministic AI conversation flows mapped directly to predefined psychological frameworks and therapy protocols.
Design, maintain, and optimize RAG architecture and long-term memory systems utilizing Pinecone and vector search mechanisms.
Build and scale multimodal AI capabilities, including text, voice, and video processing pipelines.
Optimize token usage, monitor infrastructure costs, and evaluate various LLM providers (Claude, OpenAI, Gemini).
Collaborate closely with founders, backend developers, and behavioral experts to translate therapy logic into machine-executable workflows.

Qualifications
5+ years of professional software engineering experience.
3+ years of hands-on experience building LLM-based systems, production-ready AI applications, and Conversational AI / Chatbots.
Deep commercial expertise in Python, FastAPI, Prompt Engineering, and Vector Databases (Pinecone).
Strong experience with LangGraph, AI Agents, and advanced workflow orchestration.
Proven track record with Multimodal AI (integrating text, audio, and video formats).
Strong understanding of token optimization and cost-efficient AI infrastructure.
Excellent English communication skills (very good verbal and written level).
Nice to Have: Experience with coaching, therapy, psychology, or behavioral AI applications; experience with deterministic AI workflows; hands-on knowledge of audio/video processing pipelines.

Location & Logistics
Location: Remote (Poladn)
Time Zone: CET
Engagement: Full-time (40 hours per week) 1-2 months to begin with and long-term potential.

Remote · Full-time · 2 - 4 years experience

TrueSeaMoss is a wellness brand scaling across Shopify (DTC), Amazon, TikTok Shop, and Wholesale. Our growth is outpacing our ability to measure it cleanly - that is the gap this role exists to close.

We are hiring a Financial Analyst who can do the full stack: build the data plumbing, write the models, and ship the dashboards that drive every operational decision across Finance, Marketing, Operations, and Leadership. This is a hybrid finance + data role - equally comfortable writing SQL, debugging an Amazon SP-API connector, modeling a cohort, and presenting unit economics to the founder.

What you'll do

• Build a centralized data warehouse (Snowflake, BigQuery, or Postgres) consolidating Shopify, Amazon Seller Central, TikTok Shop, ad platforms, and the ERP.
• Tune and document API integrations across Shopify, Amazon SP-API, TikTok Shop, and ad platforms.
• Build forecasting models, channel P&Ls, and CAC / LTV / payback / cohort analyses.
• Stand up automated dashboards and replace manual Excel pulls with reproducible analyses.
• Turn complex data into short, decision-grade memos for leadership.

What we are looking for

• 2-4 years in FP&A, financial analysis, or analytics engineering - CPG, DTC, or e-commerce preferred.
• Strong SQL (CTEs, window functions, multi-table joins, query performance).
• Working Python for data manipulation and API work (pandas / polars / requests).
• Hands-on experience with at least one cloud data warehouse.
• Strong Excel / Google Sheets financial modeling.
• Real fluency in e-commerce and subscription metrics: LTV, CAC, payback, churn, cohorts, contribution margin.

Nice to have: Shopify or Amazon Seller Central data; dbt / Airflow / Fivetran in production; BI-tool greenfield experience; FBA inbound / landed-cost exposure; CPG, DTC, or wellness background.

What you'll get

• Remote-first, trust-based culture - outcomes over hours.
• 14 days paid vacation + 12 day-offs + 5 sick days + your birthday off; unused vacation cashed out as a year-end bonus.
• Real ownership - you are the analytics function, not a junior on a 15-person team.
• Career trajectory in a 5x-scaling company: build the stack from scratch, then lead the team that grows on top of it.

How to apply

Send a short note explaining why this role fits, plus a CV or LinkedIn. Bonus points for a sample analysis, dashboard, or model you have built - we care about your work more than your résumé.

The area we appreciated are:

Good control of Verilog/SV language
Good understanding of the CDC, linting and EDA tools for RTL
Hands-on experience with DSP designs (Multiply ACcumulate, filters, data manipulation)
Decent experience with overall RTL design flow
Very open and communicative
Ready to learn
The main areas of growth are:

AMBA protocols, especially APB, AHB, AXI
High speed interfaces
High frequency designs, low technology nodes
Complex SOC design, integration and usage, including CPU, NOC, debug, coherency

Description
Your role and responsibilities

We are seeking a skilled Software Change Manager (SCM) Subject Matter Expert (SME) to support application migration projects utilizing IBM's DBB/Git/IDD Solutions. The SME will play a key role in guiding clients through the Endevor (and other SCMs) DBB/GIT/IDD conversion process, providing technical expertise, hands-on migration support, and training delivery. The ideal candidate has a strong z/OS and mainframe background, experience in application development or system programming, and proven customer interfacing and troubleshooting skills within migration environments.

Key Responsibilities

·    Lead and support Endevor (and other SCMs) DBB/GIT/IDD migration projects.

·    Perform installation, configuration, and problem determination for DBB/GIT/IDD on customer systems.

·    Analyze, convert, and validate Endevor applications.

·    Provide technical support and troubleshooting DBB/GIT/IDD related issues.

·    Conduct customer training sessions and develop presentation materials for DBB/Git/IDD and migration processes.

·    Collaborate with IBM teams and client stakeholders to ensure successful project delivery.

·    Document migration processes, best practices, and technical resolutions.

Required Professional and Technical Expertise

Required Skills and Experience

·       Clear, concise communications Skills

·    Strong Application Development or System Programmer background.

·    Proven installation and migration experience on IBM z/OS.

·    Excellent customer interfacing and communication skills.

·    Solid problem determination and troubleshooting ability related to IMU.

·    Proficiency in the following:

·       Working knowledge/not high level

·       Groovy Scripts writer

·       YAML

·       GIT experience

·       Repos

·       Pipeline - ability to debug what pipeline/builds failed

·       Branching

Training & Knowledge Transfer

·    Ability to conduct DBB/Git/IDD training sessions.

·    Experience preparing and delivering technical presentations using Microsoft Word and other standard tools.

·    Ability to assist clients in diagnosing and fixing conversion-related errors.

·    

Preferred Professional and Technical Expertise

Education and Experience:

·    Bachelor's Degree, or equivalent experience

·    8 + years as a Systems Programmer or other similar position

·    4+ years customer facing consulting experience

·    Development, application lifecycle or change management experience is a plus

Preferred Attributes

·    Strong analytical and organizational skills.

·    Hands-on experience in mainframe modernization, SCM, DBB/GIT/IDD.

·    Self-motivated and capable of working independently or as part of a global team.

​We are building a premium global ecosystem in the ultra-luxury real estate and hospitality sector. As we scale through international acquisitions (M&A), we are consolidating a fragmented infrastructure of isolated booking platforms, marketing CRMs, and vendor tools into a unified, AI-driven data ecosystem.
 

​We are seeking a dedicated Technical Product Manager who will act as the core Product Owner on our side. This is a critical role requiring deep, absolute immersion into our business operations, workflows, and global product vision. You will not just manage tasks; you will thoroughly absorb the product ecosystem from the inside, master the domain, and become the primary strategic anchor who defines the product and translates it directly to the project managers and engineering teams.
 

​In the first 3 to 6 months, your primary mission will be architectural: driving the creation of a centralized Data Lake from scratch to ingest and unify data from various CRMs across newly acquired global branches (Europe and beyond). Following this, you will scale the platform by integrating AI to automate complex back-of-house estate operations (cleaning, logistics, procurement, security) and launching a next-generation end-user web portal.
 

​The ideal candidate is a high-energy, "live" professional with a strong technical background in data pipelines, who is ready to sit on the business side, take full accountability for the product's DNA, and act as the vital bridge to the development team.

​KEY RESPONSIBILITIES

• ​Deep-Dive Product Ownership: Thoroughly immerse yourself in the company’s internal operations, understanding the needs of realtors, managers, and elite clients to become the definitive domain expert on our side.
• ​Bridging Business & Engineering: Act as the core product anchor, translating high-level business vision, M&A requirements, and operational pain points into structured, actionable product backlogs and roadmaps for the project managers and dev teams.
• ​Phase 1 — Data Lake & Platform Ingestion: Define requirements and oversee the architectural build of a centralized Data Lake from scratch. Standardize data ingestion from multiple fragmented CRMs and booking systems used by newly acquired global offices.
• ​Phase 2 — AI & Operations Automation: Lead the transition from manual coordination (phone/email) to an AI-driven automated ecosystem that orchestrates complex estate management logistics (cleaning, security, supply provisioning from flowers to facility management, and insurance).
• ​Phase 3 — End-User Portal Development: Productize the unified data infrastructure into an elegant, premium front-end portal utilized by both internal managers and ultra-high-net-worth clients.
• ​Stakeholder & Cross-Border Alignment: Maintain constant communication with global partners. Due to working across various international destinations, this role requires flexibility to participate in late-evening syncs and conference calls.

​REQUIREMENTS & QUALIFICATIONS

• ​4+ years as an in-house Product Manager / Product Owner handling complex, data-heavy backend products, platform tools, Data Lakes, or enterprise CRM/ERP ecosystems.
• Strong Technical & Analytical Backbone: Solid understanding of API integrations, ETL/ELT pipelines, and data architectures. Experience merging fragmented legacy software systems or handling M&A technical integrations is highly valued.
• ​Practical AI Vision: Hands-on understanding of how to apply AI/ML to automate manual operational data processing (e.g., parsing emails/chats and routing them into automated workflows).
• ​"Live" & High-Ownership Persona: A proactive, highly resilient individual who takes absolute personal accountability for the product, dives deep into details, and brings vibrant energy to the team.
• ​Impeccable Communication & Translation Skills: Fluent in English. Exceptional ability to articulate complex technical dependencies to business stakeholders and, conversely, turn vague business requests into precise technical requirements for developers.

• ​Schedule Flexibility: Absolute readiness and comfort with a flexible schedule that includes late/evening calls to sync with global cross-functional teams.

   

WHAT WE OFFER

• ​The opportunity to build and scale a premium global technology product in the high-growth, ultra-luxury PropTech sector.
• ​A fast-paced, highly professional, international team environment with a flat structure and rapid decision-making.
• ​Competitive compensation packages commensurate with your background and product portfolio.
• ​Flexible, remote-first workflow optimized for seamless global alignment.
• Medical Insurance in Ukraine and Multisport program in Poland.
• Offices in Ukraine (Kyiv, Kharkiv) and Poland (Wroclaw) or Remote.
• Paid vacation, sick leaves, and official holidays.
• Legal & Accounting services.
• The company provides all necessary equipment.
• English classes and Education reimbursement.

We are looking for a Lead Hardware & Systems Engineer to own the full hardware domain — from system architecture through to serial production and stable field operation. You will drive our prototype to a production-ready device, coordinate mechanical and electronics engineers, and set up small-series manufacturing with potential to scale.

Responsibilities

• Architecture & Design — system hardware architecture, component and enclosure selection, thermal management, sealing, rugged design decisions, and technical specifications
• Hands-on Development — hardware bring-up, testing, verification, reliability analysis, and fault investigation
• Industrial Readiness — prototype-to-DFM/DFA transition, production documentation, contractor management, and quality control

• System Integration — integration of hardware with electronics, sensors, and antenna systems; cable architecture; field power; uptime and health monitoring

   

Requirements

• Proven experience in hardware system development
• Track record of taking a product from prototype to serial production
• Strong system architecture skills and hands-on hardware development
• Familiarity with industrial-grade or mil-tech standards
• Understanding of mechanical design and CAD tools

Nice to Have

• Experience with rugged solutions for field or industrial environments
• Background in DefenseTech, aerospace, or adjacent domains
• Familiarity with RF components or antenna systems
• English — B1+ (technical documentation, occasional communication)

What We Offer

• Real impact — your decisions directly affect the reliability of air defence systems in the field
• Full ownership of the hardware domain from day one
• Deep-tech engineering challenges that don’t exist in the civilian sector
• Office in central Kyiv, 3 minutes from the metro
• Full-time, standard business hours; some tasks may require involvement outside the usual schedule (field testing, critical updates)

Role Type: Contract / Fixed-Scope Consulting Engagement
Duration: 2–3 months (10–12 weeks)
Allocation: Full-time or near full-time (4–5 days/week preferred)
Location: Remote (Must overlap with Spain / CET ± 6 hours)
Languages Required: Spanish (C1+) and English (B2+)
 

The Opportunity

We are looking for a hands-on Senior Data Science / Analytics Engineering Consultant to audit, redesign, and rebuild our core chargeback estimation and revenue estimation models.

This is a critical, end-to-end project. You will turn existing prototypes into production-grade pipelines within our modern data stack (dbt on Databricks & Python). Additionally, you will design and build a lightweight, business-facing scenario tool that enables finance and operations stakeholders to run “what-if” revenue simulations.

Our Technical Philosophy: Parsimony Over Black Boxes

We explicitly favor simple, highly interpretable, parametric approaches. If your first instinct for a forecasting problem is to throw an XGBoost ensemble, a deep learning model, or an LLM at it, this is not the project for you.

We build models where every parameter carries an explicit business meaning that can be explained to non-technical stakeholders in plain language (e.g., “If price increases by 10%, conversion drops by X% because our calculated price elasticity is −1.3”).
 

Scope of Work & Deliverables

• Phase 1: Discovery & Audit (Weeks 1–2): Review current estimation models (assumptions, dbt lineage, validation methods). Reconcile historical model outputs against actual accounting figures for the last 12–24 months to quantify bias and error. Deliver a written findings report.
• Phase 2: Redesign (Weeks 3–4): Propose the target parametric methodology for each model (granularity, refresh cadence, uncertainty quantification) and secure stakeholder sign-off.
• Phase 3: Rebuild (Weeks 5–9): Productionize the new models in dbt, Databricks, and Python. Use curve-based formulations with fitted historical parameters and clear confidence intervals. Implement strict unit/dbt testing and MLflow tracking.
• Phase 4: Scenario Tool (Weeks 9–10): Build a lightweight business interface (e.g., Streamlit on Databricks or a parameterized Databricks SQL dashboard). Users must be able to input hypotheses (price ±X%, volume ±Y%, mix shifts) and instantly view projected net impact with uncertainty bands.
• Phase 5: Handover (Weeks 11–12): Conduct knowledge transfer sessions, deliver runbooks/model cards, and provide a 2-week post-handover bug-fix support window.
   

Your Profile

• Experience: 5–8+ years in Data Science, Quant Analytics, or Senior Analytics Engineering.
• Production Ownership: Proven track record of owning financial-estimation or forecasting models in production end-to-end.
• The “Parsimony” Mindset: Demonstrable expertise in parametric/curve-based modeling (price elasticity, cohort survival curves, demand curves, GLMs) over black-box ML.
• Stakeholder Tooling: Experience building clean “what-if” tools or financial planning interfaces for business leadership.
• The Stack: Advanced Python (pandas, numpy, scikit-learn, statsmodels, and/or scipy.optimize), production dbt (incremental models, snapshots, tests), and Databricks (PySpark, Delta, workflows).
• Domain Knowledge: Direct experience in payment risk, chargebacks, refund/dispute modeling, revenue forecasting, cohort LTV, or pricing analytics.
• Communication: Exceptional ability to cross-reference data science outputs with strict financial accounting figures.
• Languages: Spanish (C1+) is mandatory for daily synchronization with local finance/ops teams; English (B2+) is required for technical documentation.
   

Nice to Have

• Background in FinTech, subscription models, payments, or high-volume e-commerce.
• Deep familiarity with Unity Catalog, Databricks Workflows, or Airflow.
• A strong track record of successful independent consulting engagements (references requested).

We are looking for a Senior AI/Machine Learning Engineer to join a healthcare project from the Netherlands focused on simplifying preparation for orthopedic surgeries. The product uses artificial intelligence to automatically analyze 3D images of the skeletal system and support surgical planning. In this role, you will focus on continuing and improving the X3D pipeline (X-ray to 3D bone reconstruction) and integrating it into the web application.
 

Requirements:
— 5+ years of commercial experience in Machine Learning/AI engineering.
— Proven commercial experience working on medical imaging or healthcare-related projects is a must.
— Strong experience with PyTorch and deep learning model training, evaluation, and optimization.
— Solid background in medical image analysis (CT, X-ray) and/or 3D computer vision.
— Strong understanding of image processing fundamentals, including registration, segmentation, and data augmentation techniques.
— Familiarity with GAN architectures (Pix2Pix, CycleGAN) and encoder-decoder networks.
— Experience working with medical imaging file formats (NIfTI, DICOM).
— Ability to read and implement techniques from research papers.
— Proficiency in Python and scientific computing libraries (NumPy, SciPy, SimpleITK or similar).
— Self-directed and independent working style with the ability to effectively collaborate under technical guidance.
— Upper-Intermediate or higher level of English (spoken and written).

Nice to have:
— Experience with 3D shape reconstruction or 3D mesh processing.
— Familiarity with DRR generation from CT volumes.
— Experience with Azure ML or similar cloud ML platforms.
— Background in orthopedic or musculoskeletal imaging.
— Experience in a medical device or regulated environment (FDA, CE).

Responsibilities:
— Improve and extend the existing X3D pipeline for X-ray to 3D bone reconstruction.
— Design, train, evaluate, and optimize deep learning models for medical image analysis and 3D reconstruction tasks.
— Work with medical imaging data (CT, X-ray, DICOM, NIfTI) and implement preprocessing, augmentation, segmentation, and registration techniques.
— Research, prototype, and implement new approaches from academic papers and industry best practices.
— Integrate machine learning solutions into the web application and support deployment workflows.
— Collaborate closely with the Head of Engineering to further develop and productionize the existing AI pipeline.
— Maintain code quality through testing, documentation, and continuous improvement of ML infrastructure and development processes.

Interview stages:
— HR interview (30 minutes).
— Technical interview (1 hour).
— Interview with the customer (1 hour).
— Job offer 🎉🎉🎉

We offer:
— Competitive salary.
— Challenging tasks and projects.
— Opportunities for professional development and growth.
— Flexible working hours.
— New hardware.
— Free English lessons.
— Table tennis and yoga classes.
— Availability of generators and Starlinks in the office.
— Small gym in the office.
— Adjustable height tables.
— Regular office fruit delivery and other benefits.

Let’s create value together!

We are looking for an experienced ML Ops & Infrastructure Engineer to join an AI-oriented project focused on building technology solutions for automating complex processes in heavy industry domains — from construction and mining to the energy sector.
 

The team is developing reliable AI and robotics-oriented systems that help people perform difficult and potentially dangerous work more efficiently and safely. The project combines software engineering, AI infrastructure, and real-world hardware-oriented challenges, where reliability, scalability, and the ability to work with high-load ML workflows are essential.
 

In this role, you will work closely with Research and Engineering teams to build infrastructure for data processing, model training, evaluation, and deployment of ML models.
 

Requirements:
— 3+ years of commercial experience in ML infrastructure, MLOps, Data Engineering, or related backend/infrastructure roles.
— Strong experience with AWS and/or GCP.
— Hands-on experience with Docker and Kubernetes (K8s).
— Strong Python skills and solid software engineering fundamentals.
— Experience building and maintaining scalable data pipelines and workflow orchestration systems.
— Experience with orchestration/workflow tools such as Airflow, Argo, Kubeflow, or similar.
— Understanding of distributed compute environments and ML training workflows.
— Experience with Git and bash scripting.
— Strong problem-solving skills and the ability to work independently in a dynamic environment.
— Upper-Intermediate or higher English proficiency.

Nice to have:
— Experience with Terraform or other Infrastructure as Code tools.
— Familiarity with distributed training frameworks (PyTorch DDP, Ray, Horovod, etc.).
— Experience with model monitoring, observability, or data drift detection.
— Experience working with large volumes of unstructured data (video, sensor data, spatial data).
— Background in AI-heavy domains such as computer vision, autonomous systems, robotics, or similar fields.

Responsibilities:
— Design, build, and maintain scalable ML infrastructure and internal platforms.
— Develop reliable data ingestion, processing, and versioning pipelines.
— Build and optimize environments for distributed model training and evaluation.
— Manage cloud compute workloads across AWS and/or GCP.
— Containerize and orchestrate ML workloads using Docker and Kubernetes.
— Collaborate closely with ML researchers and software engineers to improve development workflows.
— Improve infrastructure reliability, scalability, and deployment processes.
— Build tooling and systems that accelerate AI research and production readiness.

Interview stages:
— HR interview (30 minutes).
— Technical interview (1 hour).
— Interview with the customer (1 hour).
— Job offer 🎉🎉🎉

We offer:
— Competitive salary.
— Challenging tasks and projects.
— Opportunities for professional development and growth.
— Flexible working hours.
— New hardware.
— Free English lessons.
— Table tennis and yoga classes.
— Availability of generators and Starlinks in the office.
— Small gym in the office.
— Adjustable height tables.
— Regular office fruit delivery and other benefits.

Let’s create value together!

We are looking for Salesforce Developers and Tech Leads to join our team for a global project.
Currently, we are open to specialists of different seniority levels:
Middle Salesforce Developers
Senior Salesforce Developers
Salesforce Tech Leads
In this role, you will work on Salesforce development and technical delivery for complex enterprise projects. Depending on your seniority, responsibilities may include custom development, configuration, integrations, optimization of existing logic, code review, unit testing, technical documentation, and collaboration with Architects and Consultants.
Relevant experience for this role:
Apex, Triggers, SOQL
LWC / Aura
Flow Builder
Salesforce integrations
REST / SOAP APIs
Salesforce Data Model
Security, Sharing / Visibility, Governor Limits
Git, CI/CD
code review and development best practices
For Senior and Tech Lead profiles, experience with technical leadership, architecture decisions, mentoring, and complex Salesforce implementations will be especially valuable.
Experience with Revenue Cloud / CPQ Cloud, Commerce Cloud, Industrial Cloud, Salesforce Industries / Vlocity, Manufacturing Cloud, Automotive Cloud, Energy & Utilities Cloud, Quote-to-Cash, ecommerce, or order management processes will be a plus.
We offer remote work, a flexible schedule, a global Salesforce project, support from experienced Architects / Tech Leads, mentorship, knowledge sharing, and the opportunity to grow toward a Tech Lead or Solution Architect role.