Jobs ML / AI

Role Description

Parallel is a technology company building advanced 3D imaging and aesthetic visualization software for modern clinics. Using breakthroughs in artificial intelligence, computer vision, and 3D modeling, our technology enables highly realistic facial and body reconstructions and visualizations of potential aesthetic procedure outcomes.

We work with forward-thinking aesthetic clinics and practitioners to improve patient understanding, strengthen trust during consultations, and help practices communicate treatment possibilities more clearly.

Our platform is designed not only to elevate the patient experience, but also to drive real business outcomes for clinics—helping them increase conversion, stand out in a competitive market, and modernize the consultation journey.

As we continue to grow, we are focused on building category-defining technology with a strong emphasis on execution, product quality, and measurable impact. We care deeply about innovation, speed, and building tools that create meaningful value for both clinics and patients.

The opportunity

Parallel is growing quickly, and we are building new products that require exceptional talent. We are looking for a Junior Deep Learning Engineer to join our team. In this role, you will work closely with engineers and product teams in a highly creative, fast-moving, and international environment.

The team

We are a product-driven engineering team focused on building ambitious technology for the future of aesthetic medicine. At Parallel, we care about strong execution, technical depth, and creating an environment where talented people can do their best work.

The role

We are looking for a junior engineer to join our Deep Learning team. You will work across the full model development lifecycle, from data generation and preprocessing to model training, experimentation, evaluation, and deployment into production.

This is a strong fit for someone who wants to grow into an engineer who can bridge research and product engineering—someone who can read a paper, understand the core idea, and help turn it into production-ready systems.

Essential requirements

• Degree in Computer Science, Engineering, Data Science, Mathematics, Physics, or another quantitative field with strong analytical foundations
• Strong understanding of deep learning fundamentals, including optimization, loss functions, backpropagation, overfitting, and regularization
• Proficiency in Python and hands-on experience with PyTorch or another major deep learning framework
• Solid engineering fundamentals, including Git, GitHub, pull requests, code reviews, command line tools, and general software development workflows
• Ability and willingness to read, understand, and implement ideas from academic research papers

Nice to have

• Experience with computer vision tasks such as image classification, segmentation, landmark detection, or related areas
• Experience with 3D reconstruction, parametric models, neural rendering, NeRFs, or Gaussian splatting
• Experience with generative models, including training, fine-tuning, or inference with diffusion models, GANs, or VAEs
• Exposure to ML infrastructure, deployment, MLOps, model serving, containerization, or CI/CD workflows for machine learning

What we offer

At Parallel, you will have the opportunity to work on technically ambitious products at the intersection of AI, 3D visualization, and aesthetic medicine. We offer a fast-paced environment, meaningful ownership, and the chance to help shape products from an early stage.

We care about helping great people grow, and we aim to provide strong mentorship, real responsibility, and an environment where learning happens quickly.

Work style

We believe flexibility matters. Depending on the role, team, and location, we support remote, hybrid, and in-person work arrangements. Our goal is to help people do their best work while maintaining a healthy and sustainable balance.

Join our team as a Machine Learning Engineer, shaping the future of Generative AI with cutting-edge demos, scalable architectures, and hands-on development.

 We’re looking for a passionate Machine Learning Engineer to join our team and dive into the exciting world of Generative AI.  You’ll get hands-on experience with cutting-edge demos and proof of concepts (POCs), turning bold ideas into reality. The ideal candidate has solid Back-end engineering skills and is curious about Generative AI development. If you’re familiar with MLOps, large language models (LLMs), or concepts like Retrieval-Augmented Generation (RAG) is a plus, as is experience with Front-end languages! Experience in the Financial Services domain, particularly Banking, will be a big plus. 

You will be exposed to a variety of tasks, including: 

• Develop proof of concepts (PoC). Test and validate new ideas 
• Drive implementation. Optimize and transform data solutions to improve business outcomes 
• Help with proposals as a technical consultant.  

Job Description

• Assist in building and testing Generative AI demos and POCs 
• Support the design of simple, scalable architectures for Generative AI applications 
• Work with team members to integrate AI components into larger systems 
• Use MLOps practices to help automate parts of the model development process 
• Follow guidelines to ensure that Generative AI applications are secure and meet basic governance standards 
• Help deploy AI applications on cloud platforms or on-premises setups with team support 
• Adapt to a fast-paced environment with evolving project needs 
• Keep up with AI trends and apply them to projects with guidance 
• Advise clients. Understand their needs, analyze possible solutions, and present the best options 

Qualifications

• 4+ years of experience in IT industry, with at least 2-3 years of experience in machine learning 
• Solid Back-end engineering skills, particularly with Python (e.g., Django, Flask, or FastAPI). 
• Experience with pre-sales activities and opportunity processing 
• Basic experience with databases or tools like vector databases (e.g., Pinecone, Weaviate, Faiss) 
• Familiarity with AI frameworks such as TensorFlow, PyTorch, or Hugging Face 
• Understanding of CI/CD pipelines  
• Knowledge of RAG or AI application fundamentals (security, governance, etc.) 
• Experience with cloud platforms (AWS, Google Cloud, Azure) or on-premises setups 
• Ability to solve problems and handle shifting priorities with team support 
• Experience with client-facing roles 
• Ability to demonstrate ideas and solutions clearly and confidently 
• Bachelor's or Master's degree in computer science, machine learning, artificial intelligence, or a related field 

• Upper-Intermediate level of English 

   

  Would be a plus

• Knowledge of other programming languages, such as Java or Go 
• Experience with open-source projects or exposure to tools, such as Airflow or Spark 
• Familiarity with containers (e.g., Docker) or orchestration tools (e.g., Kubernetes) 
• Experience in the Banking and Financial Services domain  
• Experience with prompt engineering or fine-tuning LLMs 

Are you passionate about building intelligent systems that transform industries? We are looking for Software Engineer to join our team and work on cutting-edge AI-powered solutions in the logistics domain.

This is a remote position, offering flexibility and the opportunity to collaborate with international teams. We at Sigma Software value innovation, quality, and teamwork, and provide our specialists with challenging projects and professional growth opportunities.

Why join us? You will work on impactful AI-driven products, gain exposure to advanced technologies, and be part of a company that supports continuous learning and career development.

CUSTOMER

Our customer is one of Europe’s leading logistics providers, headquartered in Germany. They specialize in developing and implementing integrated supply chain systems, leveraging advanced data analytics to optimize logistics operations. Recognized for innovation and efficiency, they deliver solutions that enhance operational performance across diverse industries.

PROJECT

The project focuses on developing advanced data products, including an AI assistant capable of performing analysis and providing insights based on user queries. The team is also building tools to support the client’s internal processes, integrating AI/ML models into production systems, and designing AI-powered features such as chatbots and recommendation engines.

RESPONSIBILITIES:

• Design, develop, and maintain backend services using TypeScript/JavaScript and Node.js
• Integrate AI/ML models into production environments to support business processes
• Build and orchestrate AI pipelines that consume model outputs and deliver actionable insights
• Develop AI-powered features such as chatbots and recommendation engines
• Collaborate closely with cross-functional teams to ensure seamless integration of AI solutions into applications
• Participate in architectural discussions and contribute to solution design
• Ensure high-quality code through testing, reviews, and adherence to best practices

• Communicate effectively with stakeholders and team members to align on requirements and deliverables

   

REQUIREMENTS:

• 3–4 years of development experience with TypeScript/JavaScript technology stack
• Proven experience with Node.js and Python
• Hands-on experience integrating AI/ML models into production systems
• Experience building backend services that consume AI outputs and orchestrate AI pipelines
• Experience designing AI-powered features such as chatbots or recommendation engines
• Familiarity with integrating LLMs into applications
• Strong communication and multitasking skills
• Strong problem-solving and decision-making abilities with a focus on results

• Upper-Intermediate level of English

   

WILL BE A PLUS:

• Experience with React

   

PERSONAL PROFILE:

• Motivated, self-driven, and positive individual
• Strong communication skills
• Ability to multitask and manage priorities effectively
• Skilled in solving complex problems under tight deadlines
• Passionate about leveraging technology to deliver impactful results

About

EdSpan is an innovative company in the EdTech space, building cutting-edge learning experiences for the next generation of students. Our collaboration with a US-based private school network helps us better understand user needs while expanding our B2C and B2B products to a broader audience. We are currently working on three major projects:

AI tutoring experience — an innovative project that brings real-time interaction with a 3D animated assistant powered by LLM technology. This virtual tutor helps students navigate challenges, provides guidance, and enhances the learning journey in a playful and engaging way.

Tutorpeers – a peer-to-peer tutoring platform with a young teachers marketplace, event booking features and Zoom-like online sessions with additional interactive learning tools.

Spark Incubator – LMS-like system designed to teach kids entrepreneurship.

We have well-defined processes, trying to automate routine things, conduct code reviews, use CI and CD pipelines to validate and ship our code. We use the Agile approach with daily stand-ups, bi-weekly sprints, and other Scrum artifacts. We keep the number of meetings to a minimum so that engineers can focus on writing high-quality code and delivering cool features.

Who you are

We’re hiring our first AI/ML Engineer to lead the development of our AI agents, including prompting, the RAG and evaluation pipelines, potential fine-tuning. So, you’ll play a key role in shaping the technical direction. We’re seeking someone with a strong understanding of machine learning and NLP fundamentals, capable of tackling complex challenges in agentic workflows and optimizing model performance across the stack.

Requirements

• At least 4 years of experience in the field of Machine Learning, working as a Data Engineer, Data Scientist, Machine Learning Engineer, or in a similar role.
• Bachelor’s degree in Computer Science, Mathematics, or equivalent practical experience;
• Proficiency in Python and common data science libraries (pandas, NumPy, scikit-learn);
• In-depth knowledge of machine learning principles, understanding of LLM architectures, prompt optimization, and fine-tuning strategies;
• Skilled in designing and optimizing RAG pipelines, including embedding generation, sparse and dense retrieval, and hybrid search techniques;
• Familiar with LLM evaluation metrics and tools (BLEU, RAGAS, DeepEval, and other);

• Upper-Intermediate level of English (B2) or above.

   

Highly desireable

• Proven experience building AI-driven workflows using frameworks such as LangGraph, AutoGen, or similar orchestration tools;

• Knowledge of AWS cloud and MLOps.

   

Responsibilities

• Design, implement, and optimize LLM prompts to ensure reliable outputs;
• Assist in developing and maintaining AI evaluation workflows, including designing evaluation guidelines and metrics;
• Help design and develop AI data pipelines: collection, storage, annotation, and model improvement;
• Leverage agent orchestration tools to improve and automate AI workflows;
• Collaborate with the product team to ensure AI capabilities power usable product features.

Job Description

5+ years of experience in applied machine learning or data science roles
Strong proficiency in Python
Experience developing, training, and optimizing models with a focus on timeseries data analysis
Solid understanding of data preprocessing, feature engineering, and model evaluation methods
Familiarity with MLOps workflows and collaboration with platform engineers for model deployment
Experience with any of the following: Amazon Sagemaker, MLFlow, Vertex AI
Strong problem-solving, communication, and collaboration skills
Strong understanding of data structures, algorithms, and software engineering principles.
Hands-on experience with cloud platform (AWS) is a plus

Job Responsibilities

Design and develop machine learning models. ML Engineer will handle model selection, implementation, training, testing, and optimization, ensuring models meet requirements and achieve learning standards.
Model Lifecycle Management.
Onboard new ML models onto the existing platform with standardized training automation and interfaces.
• Collaborate with DevOps and data engineers to deliver end-to-end solutions:
• Manage and optimize big data and training data pipelines for cost and reliability.
• Oversee, maintain and enhance CI/CD operations for ML services"

Department/Project Description

We are seeking a highly skilled and motivated Sr. ML Engineer to join our team and contribute to the development for a leading telecommunications provider.

Skill Category

AI/ML

Keyskills - Must Have

• Machine Learning
• Python

Keyskills - Nice to Have

• Amazon SageMaker
• AWS

We’re looking for an Senior AI Automation Engineer (Full-time or Part-time) with hands-on experience in building AI-powered automations and agent-based workflows, and operating such systems in production

This role is for someone who can independently take a business task, design an AI-driven automation solution, and deploy it into production
 

What You’ll Do
 

• Design and build complex business automation workflows using N8N and Make, Zapier as an additional tools
• Implement AI-powered logic within automation flows using leading LLMs (OpenAI, Claude, Gemini, etc.)
• Design and configure agent-based scenarios for multi-step reasoning and task execution
• Apply advanced prompt engineering to ensure stable and predictable LLM behavior
• Integrate automation systems with external platforms via APIs
• Deploy and maintain AI automation flows in production environments
• Work directly with stakeholders to clarify tasks and translate business needs into technical solutions
   

Requirements
 

• 2+ years of experience building AI-driven automations and agent-based workflows
• Strong practical experience with N8N, experience with Make and/or Zapier is a plus
• Hands-on experience working with major LLMs (OpenAI, Claude, Gemini, etc.)
• Solid understanding of agent-based system architecture
• Advanced prompt engineering skills
• Strong understanding of system integrations and REST APIs
• Experience deploying and operating AI automation systems in production
• Ability to work autonomously from task clarification to production deployment
• English level B2+
   

Would Be a Plus
 

• Previous experience with RPA platforms
• Programing background with Python or JavaScript
• Experience building AI chatbots for open-ended communications
   

Why Join Us
 

• Architect and implement complex AI-driven automation systems, not just simple integrations
• Deliver production solutions for top international clients across the US, Canada, and UK
• Flexible remote work format (full-time or part-time)
• 20 paid vacation days and 5 paid sick days for full-time position 
   

We hire for an engineering mindset and ownership. If you're ready to move beyond simple prototypes and embed best-in-class engineering practices into AI automation - we’d love to hear from you

We are looking for an AI/ML Engineer to help build AI-powered systems using modern LLM architectures.

Responsibilities:

• Design the pipeline from input processing to generation and streaming.
• Implement file processing and context preparation.
• Build semantic search and summarization using embeddings and vector databases.
• Develop structured and hierarchical LLM outputs.
• Design agent architectures (roles, context management, JSON Patch updates).
• Select and implement frameworks such as LangGraph, LangChain, or alternatives.

• Optimize performance, reliability, and error handling.

   

Requirements:

• Strong Python and AI/ML experience.
• Experience with LLMs, RAG pipelines, embeddings, and vector DBs.
• Familiarity with AI orchestration frameworks (LangChain, LangGraph, etc.).
• Understanding of agent-based systems and structured outputs.

• Good English communication.

   

Format: Part-time collaboration, flexible schedule.

What We Offer :

 Professional Growth & Support:

• Mentorship: Hands-on learning from senior experts.
• Career Growth: A clear and documented path to advance.
• Feedback: Continuous support and regular performance reviews.

• Accounting: Full paperwork and tax support managed by us.

   

 Work-Life Balance & Flexibility

• Flexibility: Work from home or our Lviv office (Hybrid).
• Vacation: 18 days of paid annual leave.
• Extra Leave: 10 additional paid days off every year.

• Sick Days: 5 paid days for your health and recovery.

   

 Culture & Office Life

• Office Perks: Free lunches for those working from the office.
• Team Events: Regular gatherings and community-building activities.
• Celebrations: Personal gifts for your work milestones.
• Team Spirit: Corporate gifts and a supportive atmosphere

We're not hiring a traditional SMM manager. We're building an AI-driven content distribution system across 13+ platforms — and we need someone to design and operate it.

What you'll do

• Build and run a cross-platform content machine: idea → AI production → adaptation → posting → analytics → iteration
• Use AI to generate scripts, hooks and content at scale
• Analyze trends, competitors and viral mechanics
• Launch automations and semi-automated workflows
• Grow owned channels including Telegram communities
•  

Platforms: TikTok · YouTube · Instagram · LinkedIn · Reddit · X · Telegram · Substack · Medium · and more

You must have

• Deep understanding of social algorithms and viral mechanics
• Real experience with AI content tools
• Cross-platform thinking — not single-platform
• System mindset, ownership, speed
• English: Upper-Intermediate+
•  

You'll know you're succeeding when

• Cross-posting system is live across multiple platforms
• AI content pipeline is running
• First viral or high-performing pieces are published
• 2–3 repeatable content formats are identified

We are looking for a Machine Learning Engineer to design and implement intelligent systems that power personalized digital experiences across connected devices and mobile applications.

This role is ideal for someone who thrives at the intersection of ML models, data pipelines, and product integration. You will collaborate closely with backend engineers, data scientists, and product managers to bring ML-driven features into production and continuously optimize them based on real-world usage.

Responsibilities:

• Design, train, and deploy machine learning models for use cases such as personalization, recommendations, and visual analysis;
• Build and maintain scalable, production-grade data pipelines (batch and real-time);
• Collaborate with product and engineering teams to translate product ideas into ML-powered features;
• Implement model observability, monitoring, and retraining workflows;
• Optimize inference performance and model serving in resource-constrained environments (e.g., edge or mobile);
• Contribute to the architecture of a modern ML platform within a cloud-native microservices environment;

• Work with backend teams to expose model outputs via APIs and integrate them into customer-facing experiences.

   

Requirements:

• 3+ years of experience in applied machine learning or data science;
• Strong knowledge of:
  • Supervised learning, recommendation systems, or computer vision;
  • Python and ML libraries such as TensorFlow, PyTorch, scikit-learn;
  • Building, deploying, and maintaining ML models in production.
• Familiarity with:
  • MLOps tools (e.g., MLflow, TFX, Airflow, Vertex AI);
  • Data pipelines and messaging systems (e.g., Kafka, BigQuery, dbt);
  • Model serving frameworks (e.g., FastAPI, TensorFlow Serving, TorchServe, ONNX);
• Comfortable collaborating with product, engineering, and analytics teams;
• Experience with cloud platforms (GCP, AWS, or Azure) and container-based deployments;
• Bonus: Experience with edge AI, mobile ML, or video/image processing pipelines.

We Offer:

• Remote work and flexible working hours.
• Legal support.
• Paid sick leaves.
• Paid vacations.
• Medical insurance. 
• Free English classes.

We are looking for a strong Middle Backend Engineer to help us build AI-powered products and workflows. This role is ideal for someone with solid Node.js / TypeScript experience who is already exploring AI in practice and wants to go deeper into RAG, voice agents, and multi-agent systems.

What matters most is a strong backend foundation, the ability to build reliable production systems, and a genuine interest in how LLM-based applications work and in using AI to speed up delivery.

What you’ll do

• Design and build backend services for AI-powered product features
• Work with LLM APIs, prompts, AI SDKs, and agent workflows
• Help shape systems involving retrieval, grounding, tool use, and orchestration
• Collaborate on products that include Node.js backend 
• Improve reliability, latency, observability, and overall production readiness of AI features

• Explore and implement capabilities around RAG, voice experiences, and multi-agent systems

   

What we’re looking for

• Strong commercial experience with Node.js / TypeScript, 2+ years of experience
• Experience building and maintaining complex backend systems in production
• Solid understanding of architecture, APIs, async flows, integrations, and system reliability
• Some hands-on exposure to LLM applications: prompt design, AI APIs, agent flows, or internal AI tooling
• Ability to learn quickly in a fast-moving technical area
• Strong engineering judgment and product mindset

• A degree in Computer Science, Mathematics, or a related field is a plus, but not required

   

Nice to have

• Experience with LangChain, LangGraph, Vercel AI SDK, or similar frameworks
• Familiarity with RAG concepts such as chunking, embeddings, retrieval, reranking, and hallucination reduction
• Experience with voice agents or real-time AI experiences
• Experience with React

• Familiarity with Python

   

Why this role

• You’ll work on real AI product problems, not toy demos
• You’ll have room to grow into RAG and agentic systems
• We’re open to hiring a strong engineer with the right mindset, even if some of the AI-specific depth is still developing

PwC is a global network of more than 370,000 professionals in 149 countries that turns challenges into opportunities. We create innovative solutions in audit, consulting, tax and technology, combining knowledge from all over the world.

We are seeking an AI Architect to design, build, and guide the secure and scalable adoption of AI platforms and AI‑driven applications. This role partners with engineering, data science, and product teams to define AI solution architectures, ensure technical excellence, and embed best practices throughout the AI lifecycle—from data ingestion and model development to deployment and monitoring.

Key Responsibilities:

AI Architecture & Design

• Architect scalable AI/ML and LLM‑based solutions, including data flows, integration patterns, and deployment approaches.
• Conduct architectural reviews for new AI features and system changes.
• Define reference architectures and reusable AI patterns.

Collaboration With Engineering & Product Teams

• Partner with engineering, MLOps, and product teams to translate needs into AI solutions.
• Provide technical guidance that balances performance, cost, and speed.
• Build repeatable processes for reviewing AI capabilities and changes.

MLOps & Deployment

• Support integration of AI workflows into CI/CD processes.
• Promote automated testing, validation, and monitoring of AI models.
• Collaborate on tooling for model deployment, versioning, and observability.

Governance & Responsible AI

• Ensure AI designs follow internal governance and responsible AI principles.
• Support documentation and transparency for AI system behaviors.
• Align architectures with regulatory and compliance requirements.

Monitoring & Continuous Improvement

• Guide teams on monitoring, anomaly detection, and model performance tracking.
• Identify improvement opportunities and evolve AI architecture standards.
• Share best practices and mentor teams on modern AI technologies.

Required Skills:

• Experience in AI/ML system design, cloud‑native architecture, or application architecture.
• Strong understanding of the AI/ML development lifecycle, including training, deployment, and inference.
• Hands‑on exposure to LLM applications, RAG pipelines, vector databases, and API‑based AI integrations.
• Familiarity with MLOps, DevOps, and modern cloud platforms (Azure, AWS, GCP).
• Strong communication skills and ability to work cross‑functionally.
• Curiosity and passion for emerging AI technologies.

Preferred Qualifications:

• Experience building or securing generative AI applications.
• Knowledge of frameworks like NIST AI RMF, OWASP LLM Top 10, MITRE ATLAS, ISO/IEC 42001.
• Cloud or AI‑related certifications.
• Background in ML engineering or MLOps.

Policy statements:
https://www.pwc.com/ua/uk/about/privacy.html

About Atlas Technica & our AI & Advisory Practice 

Atlas Technica is the premier technology partner for the world’s most sophisticated hedge funds, private equity firms, and RIAs. We power the infrastructure behind the scenes, and now we are building the "factory floor" for their next generation of alpha. We are evolving into the industry’s first Managed Intelligence Provider (MIP). 

Our AI & Advisory practice doesn't just sell licenses. We architect the secure blueprints and complex agentic frameworks that allow elite investment teams to operate at the frontier of GenAI. We are currently scaling a product lane centered on Intelligent Workflow Design: a tiered, institutional offering designed to rewire how fundamental research and investment operations happen. 

The Mission 

We are looking for a Principal, Agentic Strategy & Solutions to architect and pilot our client-facing advisory business. This is a strategic player-coach role for an elite practitioner who is tired of making slides and wants to actually build the future of high finance. 

You will start as our lead architect for client enablement, personally designing the multi-agent systems that drive real ROI for our clients. As the practice scales, you will have the mandate to hire and lead a specialized pod of 2–3 AI consultants, initially, ensuring our global delivery model remains as sharp as our code. 

What You’ll Own 

1. Strategic Product Development 

• Architect the Atlas "Agentic Workflow Training" series as a repeatable, institutional product. We want intensive cohorts and strategic office hours, not generic webinars. 
• Develop and maintain proprietary Pattern Libraries for complex fund strategies: 
• Long/Short Equity: Automating fundamental synthesis and 10-K/Q anomaly detection. 
• Macro / Multi-Strat: Building global news triage systems and cross-asset scenario companions. 
• Credit & Private Markets: Engineering covenant extraction and automated deal-memo synthesis. 
• Define the "Basic" vs "Advanced" AI Factory playbooks, ensuring we have a solution for every stage of client maturity. 

2. Hands-On Agentic Orchestration 

• Design sophisticated system prompts and multi-agent workflows.  
• Work daily in the "workbench": utilizing Claude, ChatGPT, … to ship production-ready patterns. 
• Establish robust evaluation harnesses to measure agent performance, hallucination risk, and research depth. You find a 1% error rate on a financial metric personally offensive. 

3. Executive Advisory & Client Delivery 

• Lead high-stakes design sprints for C-suite stakeholders at $10B+ AUM funds. 
• Partner with Sales and CTMs to translate "we want AI" into scoped, high-value consulting engagements that deliver. 

4. Internal Practice Enablement 

• Serve as the firm-wide "Internal Coach" for prompt and agent fluency. You’ll create the playbooks that empower our engineering teams to sustain these environments. 
• Contribute to R&D on "AI Defense," focusing on prompt safety and governance patterns for SEC and FINRA-regulated environments. 

Your DNA 

• The Consulting Pedigree: You have 7+ years of experience within a global consultancy (e.g., EY, Deloitte, Accenture, McKinsey, BCG) in a client-facing, engagement-leadership role. You know how to manage a room and a project plan. 
• The Builder Mindset: You are a daily practitioner of LLMs and orchestration frameworks. You don't just "manage" the tech; you operate in the terminal and understand what works. 
• Capital Markets Fluency: You speak the language of PMs, Research Analysts, and CCOs and understand the fundamental research process. 
• The Clever Edge: you can demystify "Retrieval Augmented Generation" for a non-technical COO while keeping the technical respect of a Principal Architect. 
• High-Velocity Orientation: You thrive in the "N of 1" environment where the tech changes weekly. You believe that shipping beat perfection every single time. 

What Success Looks Like (First 12 Months) 

• Q1-Q2: A codified training offer with a validated library of "Bronze" workflow families ready for global scale. 
• Q3-Q4: High NPS and measurable research compression for a cohort of pilot clients. 
• Practice Growth: A clear roadmap and your first 2–3 direct reports hired as practice revenue hits target milestones. 

About the Company

Headshot Recruitment agency is looking for Senior ML, GenAI engineer.

Our client’s company with its HQ in Cyprus, was founded in 2024.

The company is building a next-generation AI-driven companion, an adult entertainment platform focused on highly personalized, progression-based experiences across image, video, voice, and interactive AI content. They operate at scale and prioritize performance, cost efficiency, and monetization. This is a production-first environment, not a research lab.

Employees work on-site in Cyprus and remotely from other countries.

The dev team is Ukrainian.

About the role

We are looking for a hands-on AI engineer to own the technical direction of generative AI systems in the company. You will design architecture, lead implementation and remain deeply involved in coding and optimization.

This role involves working directly with NSFW / adult content generation.

Your future tasks

• Lead design and implementation of generative AI pipelines (image, video, voice).
• Own LoRA-based personalization and fine-tuning workflows.
• Architect scalable serverless GPU inference systems.
• Optimize latency, quality, and cost for large-scale generation.
• Build and maintain image generation, video generation, and upscaling pipelines.
• Define standards for model versioning, prompting, and inference orchestration.
• Work closely with Product, Backend, and DevOps teams.

We expect from you

• 5+ years of experience in AI engineering.
• 2+ years of hands-on commercial experience with generative AI (image and video) in production.
• Strong experience with LoRA and model fine-tuning.
• Experience with upscaling / super-resolution techniques.
• Production experience with GPU infrastructure and inference optimization.
• Experience with serverless or elastic compute setups.
• Comfortable working with NSFW / adult content datasets.
• English language at B2+ level (internal communications are in English).
• Your time zone and location (GMT-GMT+6).

Amazing, if you have experience with

• ComfyUI workflows and node-based pipelines.
• Strong cost optimization experience at scale.
• Prompt orchestration systems and dynamic prompting.
• Experience with moderation or safety layers.
• Background in adult, gaming, or high-scale consumer products.

Company offers

• Remote asynchronous work with CET time overlap.
• Type of contract: Employment contract (on-site, Cyprus) or B2B/B2C (remote work)
• Full-time job.
• Key leadership role with direct product and architectural impact.
• Opportunity to build and lead an AI team.
• Flexibility and freedom in the engineering approach.
• No bureaucracy, real impact on architecture and infrastructure.

ABOUT COMPANY

Fast-scaling DTC supplement brand focused on lymphatic drainage. We run a high-output creative team and ship winning ad concepts every week.

THE ROLE

You'll take creative briefs from our Creative Strategist and produce polished, performance-ready video ads — fast. You're expected to use AI tools as part of your workflow and deliver without hand-holding.

WHAT YOU'LL DO
— Receive briefs from the Creative Strategist and execute from start to finish

— Edit and produce 10–20 ad concepts per week

— Handle captions, b-roll, visual overlays, and all post-production

— Prepare every deliverable to IEDC structure (Intro, Engagement, Detail, CTA)

— Implement feedback quickly and stay on schedule

WHAT WE'RE LOOKING FOR

— Experience editing performance video ads for DTC or e-commerce brands

— Comfortable using AI tools to speed up your workflow

— Fast, clean output — quality without slow turnarounds

— Self-directed, reliable, and communicates clearly

COMPENSATION

Starting at $2,500/month for 10–20 concepts per week. As your quality and output improve, salary grows up to $5,000/month. Performance bonuses available on top of base.

This is a full-time role — no freelance or side engagements to start.

OUR VALUES

— Hungry — you want to grow

— Speed — we move fast

— Ownership — no chasing you down

— Results Over Activity — output matters, not effort

Data Science UA is a service company with deep expertise in AI and Data Science. Our story started in 2016 with the first Data Science UA Conference in Kyiv, and since then, we’ve built one of the largest AI communities in Europe.

About the role:
We are looking for a hands-on Sr. Machine Learning / Computer Vision Engineer with strong practical experience in designing, training, evaluating, and improving vision systems for real-world applications. The ideal candidate combines solid theoretical ML/CV fundamentals with an engineering mindset and is comfortable taking ownership of the full pipeline, from data preparation and experimentation to model optimization and deployment.

Responsibilities:
- Design, train, evaluate, and improve machine learning and computer vision models for real-world production use cases
- Build and maintain end-to-end ML pipelines, including data collection support, preprocessing, feature engineering, training, validation, and inference
- Develop solutions across both computer vision and machine learning tasks depending on business needs
- Perform error analysis, diagnose model weaknesses, and drive improvements in accuracy, robustness, and reliability
- Select and justify appropriate methods and model architectures based on dataset characteristics, product constraints, and deployment requirements
- Work with challenging real-world data, including noisy, limited, imbalanced, or weakly labeled datasets
- Collaborate with engineering and product teams to translate business problems into practical ML solutions
- Contribute to production-ready development with a focus on maintainability, reproducibility, and performance

Requirements:
- 3–5+ years of professional experience in Machine Learning / Computer Vision
- Strong senior-level practical expertise in computer vision, machine learning, and applied model development
- Hands-on experience with tasks such as object detection, image classification, anomaly detection, feature-based approaches, or similar
- Solid understanding of classical ML methods, including tree-based models, linear models, feature engineering, model selection, and evaluation
- Strong Python skills and practical experience with PyTorch, OpenCV, and common ML tooling
- Experience building full ML workflows including data preparation, augmentation, preprocessing, training, validation, testing, and deployment handoff
- Strong understanding of model evaluation, debugging, overfitting, generalization, optimization, and experiment-driven improvement
- Ability to write clean, modular, maintainable code and independently own technical solutions
- Strong analytical thinking, engineering maturity, and problem-solving skills

Nice to Have:
- Experience in adjacent ML domains such as time-series, audio, or NLP
- Experience with embedding-based methods, metric learning, retrieval systems, or memory-bank approaches
- Practical experience with model optimization techniques such as quantization, pruning, distillation, or related efficiency-focused approaches
- Experience working with real-world industrial datasets and ambiguous problem formulations
- Knowledge of software engineering best practices, reproducible experimentation, and pipeline design

We offer:
- Free English classes with a native speaker and external courses compensation;
- PE support by professional accountants;
- Medical insurance;
- Team-building events, conferences, meetups, and other activities;
- There are many other benefits you’ll find out at the interview.