Jobs ML / AI Engineer

We’re building an intelligent AI agent that doesn’t just answer questions, but reasons, retrieves, understands context, and acts across documents, SQL data, and visual inputs.

If you're excited by rapid experimentation, real users, and pushing LLMs beyond chat - this role is for you.

     What You'll Do

• Design and implement an intelligent chatbot/agent capable of reasoning over documents, structured SQL data, and multimodal inputs
• Fine-tune or integrate LLMs (OpenAI, Ollama, Deepseek, etc.) for contextual Q&A
• Develop text analytics pipelines (sentiment analysis, classification, topic modeling)
• Design image processing systems for tagging, feature extraction
• Experiment rapidly with new ideas, validate hypotheses
• Support and work with Hadoop clusters for big data processing.
  
  What We're Looking For
• 2+ years of experience as ML/AI engineering or in a similar role
• Bachelor’s degree in Computer Science, or a related field
• Strong proficiency in Python, and solid experience with ML frameworks
• Deep understanding of NLP and CV fundamentals
• Hands-on experience with AI/ML projects deployed in production
• Experience integrating LLMs, retrieval pipelines in multi-step reasoning agents
• Practical experience in text/image processing
  
  Nice to Have
• Knowledge of OCR, captioning
• Experience with prompt engineering
• Experience in predictive modeling

We’re building something very different at PRAI.

This is not a typical job.

This is a chance to work at the edge of AI, media, and attention economy.

About PRAI

PRAI is an AI platform transforming PR and communications.

We’re building AI Employees — systems that:

• generate content

• run outreach

• replace slow, manual work

Now we’re scaling into AI video content — fast, viral, performance-driven.

If you understand where media is going — you’ll get it.

What you’ll do

• Create viral short-form videos (TikTok / Reels / Shorts)

• Use AI tools:

• Sora (or similar)

• Runway / Pika / Kling

• Build clickbait hooks (first 1–3 seconds = everything)

• Turn ideas into high-converting video flows

• Produce content daily (speed matters more than perfection)

• Test → iterate → scale what works

Work format

• Fully remote

• Full-time

• Startup speed (fast, intense, no hand-holding)

• Performance-driven environment

We use Hubstaff for time tracking — we’re focused on output and accountability.

Who we’re looking for

You’re not “just editing videos”.

You:

• understand attention and psychology

• know what makes content go viral

• can produce a lot, not just “perfect”

• move fast and don’t overthink

Mindset

• speed > perfection

• execution > talking

• no excuses, just results

• test aggressively, drop what doesn’t work

Test task

We may ask you to create:

3 short AI-generated videos

→ strong hook

→ clear flow

→ engagement-focused

Why people want to work with us

• You work with cutting-edge AI tools before most people even understand them

• You build real output, not fake busy work

• You move fast and actually see results

• You’re not stuck in corporate nonsense — only execution matters

• If you’re good, you grow very fast with us

In one sentence

We’re building AI-driven content that people can’t scroll past.

APPLY IF:

You feel this is your environment.

Company website:
prai.us

📍 Kyiv — office-based role (offline only)
💰 $1500 + bonuses
🕙 10:00 – 19:00

🔥 Office role in Kyiv (not remote)

We are looking for a German Language Trainer to work full-time from our Kyiv office with a team involved in tech and international projects.
 

👉 This is a fully offline position (office in Kyiv)

💡 About the role

You will work closely with IT / tech specialists and support teams, helping them improve their German communication for work with international clients.
 

🚀 Responsibilities

• Teach German to employees (tech / support teams) 🇩🇪
• Focus on business & IT communication
• Prepare employees for client interaction
• Adapt materials to real work scenarios
• Track progress and provide feedback
   

🎯 Requirements

• German level C1+
• Experience in teaching or corporate training
• Understanding of business / IT communication
• Strong communication skills
• Ability to explain clearly and practically
   

💸 What we offer

• $1500 fixed + bonuses
• Full-time office role in Kyiv
• Work with tech-oriented team
• Stable environment + growth
   

⚠️ Location

📍 Kyiv — office work only
👉 We consider only candidates ready for offline work
 

🚀 Why this role stands out

• Work with IT / tech environment
• Real communication, not academic theory
• Direct impact on team performance
• Long-term стабильность

Backend AI Engineer

[Freelance, Full-time, Remote]

SNEAK PEEK

⇨ Location: Remote, GMT+0/+4

⇨ Interview process: HR Interview ⇨ Technical interview ⇨ Take-home challenge ⇨ Presentation of home challenge 

WHO ARE WE? 

At Rounds, we believe in harnessing the power of cutting-edge technology to drive business success. Our transformative, machine-learning technology identifies and optimizes mobile assets, while our team of experts, with their unparalleled human capital and business acumen, provides the strategic direction and support to turn mobile assets into profitable businesses. Together, we are revolutionizing the mobile industry. You can find out more info about us here: www.rounds.com.

THE ROLE

We’re looking for a strong systems-oriented engineer with hands-on LLM experience to join our AI Innovation team. In this role, you’ll build AI systems and internal products that improve how teams work across different departments and areas in the company. The common denominator is ownership: you should be comfortable leading projects end-to-end, including clarifying needs with stakeholders, making decisions under ambiguity, and pushing through blockers when they arise.

This role is a strong fit for someone who enjoys both sides of applied AI work: full-stack engineering and practical use of LLM capabilities.

Hiring manager: Ori Nahum, AI Innovation Team Lead 

What you’ll be working on

Examples of projects you may work on:

• AI agents for code generation workflows (especially in mobile applications)
• A mobile app navigation agent
• Backend services that orchestrate LLM workflows, tool calling, and integrations with internal systems
• AI chatbot connected to internal data sources and business systems
• And other new AI-driven solutions that support different departments across the company

You’ll be expected to move between experimentation and implementation: validating ideas quickly, turning the promising ones into reliable tools, and leading projects far enough to make them useful in practice — not just technically possible.

WHAT ARE WE LOOKING FOR?

Must-have

• 5+ years experience in software development (preferably in Python, TypeScript, or mobile development).
• Ability to lead projects from idea to production, including aligning with stakeholders, driving decisions, and proactively removing blockers when needed
• Hands-on experience building LLM-based products, tools, or agents beyond toy prototypes
• Good understanding of prompt design, tool calling, orchestration, and how to make LLM systems actually useful
• Strong English communication skills

Big advantage

• Experience building internal developer tools or productivity systems
• Background in mobile development, especially native Android or iOS
• Design and implement evaluation frameworks to assess AI performance, accuracy, and reliability.
• Solid understanding of ML theory and how LLMs work under the hood, including key concepts, limitations, and trade-offs beyond the API layer
• Familiarity with cloud infrastructure / DevOps / CI-CD
• Good judgment around where AI adds value and where it doesn’t

Who will do well here

You’ll likely do well in this role if you:

• Like building practical systems, not just demos
• Take initiative without waiting for perfect specs
• Enjoy exploring new tools, but know how to separate hype from what’s actually useful
• Want the freedom to research, experiment, and then ship
• Enjoy working across different problem spaces and use cases, rather than staying in one narrow lane

INTERESTED?

Our recruitment process consists of the following steps: 

• HR interview with the recruitment manager: 45 min
• Technical interview with the AI Engineer Tech Lead & Team Lead: 1 hour
• Take-home challenge: ~ 4 hours of work
• Final Interview - take-home challenge presentation with CTO and AI Engineer Team Lead and Tech Lead: 1 hour

Get in touch at hr@rounds.com. 

We look forward to hearing from you! 

Who we are:

Adaptiq is a technology hub specializing in building, scaling, and supporting R&D teams for high-end, fast-growing product companies in a wide range of industries. 

About the Product: 
Over the past few years Coro has received $175M in funding and is one of the fastest growing Cybersecurity companies in the world. The funding is primarily being used to enhance the Coro Cybersecurity SaaS platform and for additional headcount growth, as Coro continues to expand globally.   

Coro started in Tel-Aviv, Israel and is also headquartered in Chicago, IL with additional offices in New York, London, and remotely across the globe. As a global organization, Coro gives you the ability to work with people and teammates from around the world. 

Coro’s AI enabled Modular Cybersecurity Platform is the only one in the industry specifically designed to provide Mid-Market customers with scalable and affordable “enterprise grade” protection for all of their priority threat vectors. 

About the Role: 
This is a principal-level AI engineering role focused on driving the next generation of AI adoption across Coro — both within the product and across the organization.

You will take ownership of AI-driven initiatives end-to-end, shaping how engineering teams build, ship, and scale software using LLMs, agents, and intelligent tooling. The role is not about day-to-day coding, but about defining architecture, building workflows, and delivering impactful AI solutions that improve developer productivity and system quality.

You will work closely with DevEx, Core Engineering, Product, and R&D, helping standardize and scale AI usage across teams — moving from ad-hoc usage to a structured, high-impact AI-driven environment.

If you are looking for a role where you can combine technical leadership, ownership, and innovation, and influence how a global engineering organization adopts AI — this is the role for you.

Key Responsibilities: 

•  Build a shared vision with DevEx and Core Engineering leadership for AI-driven developer tooling, supporting development by prototyping agents and workflows while serving as a subject matter expert for internal R&D efficiency
• Work closely with Product and R&D stakeholders, taking full responsibility and ownership from conception to post-deployment of AI tools that automate and optimize the daily work of engineering teams
• Work in a modern CI/CD environment with a team of highly skilled developers, leveraging LLMs and agentic frameworks to redefine and improve the developer experience
• Spearhead the development of new internal features and AI agents — from automated code review to intelligent debugging tools — while owning the full development lifecycle
• Contribute to the overall technical strategy and roadmap of the internal platform, driving initiatives that use AI to improve developer velocity, code quality, and system reliability
• Promote a culture of innovation and continuous growth, encouraging the exploration of emerging AI technologies to solve complex engineering bottlenecks

• Continuously monitor developer feedback and internal productivity metrics to identify opportunities for optimization and further tool refinement

   

Our Stack: Java (Spring-based microservices), Golang, and Python services, running on Kubernetes (AWS EKS). We use Redis, MongoDB, SQL, OpenSearch, RabbitMQ,  AWS Lambda and additional cloud-native technologies. We encourage engineers to stay current with industry trends and emerging technologies to continuously evolve our platform

Required Competence and Skills:

• Proven experience working with AI/LLMs, agents, or AI-driven workflows in production environments
• 7+ years of experience building complex web applications and scalable backend systems
• Strong background in platform engineering, developer productivity, or internal tooling
• Ability to work closely with engineers, R&D leaders, and cross-functional stakeholders to define productivity goals and design AI-driven solutions
• Strong product and engineering judgment, with a clear understanding of how to build internal tools that create a smooth and frictionless developer experience
• Strong focus on quality, simplicity, and maintainability when designing solutions for complex engineering problems
• Hands-on experience with LLMs, automation, and AI-driven workflows, combined with an analytical, curious, and data-driven mindset
• Experience implementing AI solutions at an organizational level (not only in isolated projects)
• Strong collaboration and communication skills, with empathy for the challenges faced by modern engineering teams

Nice to have:

• Technical leadership experience in roles such as Architect, Tech Lead, or similar, especially in platform engineering or developer productivity areas
• A degree in Computer Science or a related field is a plus, but we are also open to exceptional candidates with strong practical experience

Why Us?

We provide 20 days of vacation leave per calendar year (plus official national holidays of a country you are based in).

We provide full accounting and legal support in all countries we operate.

We utilize a fully remote work model with a powerful workstation and co-working space in case you need it.

We offer a highly competitive package with yearly performance and compensation reviews.

Impressit is looking for a Platform Engineer (Databricks Administration & Data Governance) to join a cross-functional Data Platform team.

This role focuses on enabling analytics and AI teams to build efficiently and securely on a shared Databricks platform. You will be responsible for defining and enforcing platform standards, ensuring data quality, governance, and cost efficiency across the organization.

This is a highly impactful role where you will act as the technical owner of platform guardrails, access models, and operational stability, helping scale the platform across multiple business domains.

Candidate must be located in Portugal or Spain.

What do we expect?

— 5+ years of experience in Data Engineering or Platform Engineering, including hands-on Databricks administration
— Strong expertise in Databricks ecosystem (Unity Catalog, cluster policies, Delta Lake, Spark, jobs, workspace configuration)
— Solid understanding of data governance principles, including data modeling, ingestion frameworks, schema enforcement, lineage, and versioning
— Proven experience implementing access control models (RBAC, ABAC) in Databricks or similar platforms
— Experience with cost management, monitoring, billing analysis, and compute optimization
— Strong Python (PySpark) and SQL skills
— Experience working with data pipelines and orchestration tools (e.g., DLT, Airflow, Databricks Workflows)
— Ability to define standards, enforce best practices, and influence engineering teams
— Strong communication and collaboration skills

What will you do?

— Administer and optimize Databricks workspaces, clusters, jobs, and platform configurations
— Define and enforce platform-wide data governance standards, including ingestion patterns, naming conventions, and schema rules
— Implement and maintain secure access controls, including RBAC, ABAC, and fine-grained data policies
— Establish and monitor data quality, lineage, and compliance across pipelines
— Review and approve data pipelines to ensure alignment with platform standards
— Implement cost control mechanisms, including alerts, compute policies, and usage monitoring
— Analyze platform usage and proactively identify cost optimization opportunities
— Ensure platform reliability through CI/CD practices, automated checks, and governance controls
— Build and maintain dashboards for observability (costs, pipeline health, access, schema drift)
— Troubleshoot platform issues and continuously improve stability and guardrails
— Enable and guide data teams by providing best practices, templates, and documentation

As a plus:

— Experience with large-scale cloud data platforms (Azure, AWS, or GCP)
— Background in trading, supply, or other data-intensive domains
— Experience building governance, cost, or operational dashboards
— Familiarity with CI/CD tools (GitHub Actions, Azure DevOps, etc.)

We’re looking for an AI Builder to help our client design, develop, and deploy scalable AI solutions that enhance internal efficiency and accelerate innovation across go-to-market teams.
 

Beetroot’s client is an Israeli food and beverage AI platform built for revenue activation. They are trusted by industry leaders like Campbell’s, Givaudan, Kraft Heinz, Nestlé, Mars, PepsiCo, and more, and are the AI platform powering food and beverage brands to dominate the shelf, optimize campaigns, and maximize revenue. With insights sourced from billions of data points, they’re empowering clients to create, market, and sell their products faster and more successfully than ever before.

As an AI Builder, you’ll play a key role in driving internal innovation by designing and implementing practical AI solutions that streamline workflows and improve decision-making across go-to-market teams. From identifying opportunities to prototyping and deploying solutions, your work will directly enhance operational efficiency and empower marketing, sales, and customer teams to perform at scale.

What you'll do in this role 

• Build and deploy AI-powered tools and features for internal use across teams 
• Design and implement automated pipelines to streamline workflows and improve operational efficiency 
• Develop scalable AI solutions that integrate with existing systems and data infrastructure 
• Collaborate with cross-functional teams to translate business needs into AI-driven solutions 
• Rapidly prototype, test, and iterate on new AI capabilities 
• Monitor, maintain, and optimize deployed solutions for performance and reliability 

We're looking for

• Strong experience building and deploying AI/ML solutions in production environments 
• Familiarity with agent frameworks and tool protocols (e.g., MCP and similar standards) 
• Hands-on experience with pipeline automation and workflow orchestration 
• Proven ability to scale AI solutions across systems and teams 
• Experience with modern AI platforms and no-code/low-code automation tools (e.g., N8N, Make, Lovable, Claude) 
• Strong problem-solving skills with a builder mindset - able to go from idea to implementation quickly 
• Very good English level, all communications and meetings are in English 

How to knock our socks off

• A proactive research mindset — someone who brings new solutions and tools to the table, not just executes on what's given 
• Experience working with go-to-market teams 
• Familiarity with CRMs like HubSpot, Salesforce, etc. 
• Solid understanding of data analysis practices and methodologies 
• Experience in fast-paced, startup, or scale-up environments 
• Naming five or more dishes that include beetroot besides borshch.

✔ Not checking every box?

This job looks very exciting, but you hesitate to apply because of the confidence gap? Reach out to us anyway! Beetroot is an inclusive workplace that considers all applicants. We’re committed to openness — promoting equality and fostering an environment where different backgrounds, ideas, and experiences are not just accepted, but embraced. So let’s discover together whether we could be an excellent fit for each other.

Please send us your CV in English, and we'll be happy to discuss your application further.

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 

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 are seeking a Senior AI Engineer to join our AI & Data project. In this role, you will combine high-end machine learning engineering with a revolutionary approach to software delivery. You will not just build AI; you will build AI using AI, orchestrating agentic workflows to deliver complex solutions at a velocity traditional teams cannot match.

You will focus on building practical, production-ready solutions that bridge the gap between unstructured data and structured logic using LLMs, agentic workflows, and knowledge representations (ontologies, knowledge graphs). You are expected to be an "AI-Native" pioneer, utilizing tools like Claude Code, Cursor, Antigravity, and custom MCP servers to automate your own development lifecycle - from data exploration and model evaluation to code generation and documentation.

Requirements:

• 4+ years of professional experience in machine learning, data science, or AI engineering.
• Software development background 
• Strong proficiency in Python and the modern AI ecosystem (e.g., PyTorch, Hugging Face, LangChain/LangGraph, Scikit-learn).
• Hands-on experience with data ingestion, RAG pipeline optimization, model evaluation, deployment (MLOps), and monitoring.
• Deep understanding of generative AI (LLMs, embeddings, RAG, prompt engineering, and agentic reasoning) and its practical constraints (latency, cost, safety, hallucinations).
• Experience turning complex business needs into "machine-ready" technical specifications and acceptance criteria.
• Strong experience with major cloud platforms; hands-on Azure knowledge (Azure AI Search, Azure OpenAI) is highly desirable.
• Evidence of using modern GenAI tools (Claude Code, GitHub Copilot, etc.) to significantly accelerate your development and testing process.
• Good English to work in a multinational team

Responsibilities: 

• Work with stakeholders to translate domain-specific knowledge into "Spec-Driven" ML architectures and agentic workflows.
• Design and implement solutions that combine the reasoning power of LLMs with the precision of structured knowledge (ontologies/knowledge graphs).
• Pilot the Claude Code CLI and other agentic tools to generate code, run automated tests, and maintain "Context Hygiene" within the project repository.
• Apply structured 4-phase debugging to ML pipelines, focusing on root-cause analysis of hallucinations, retrieval failures, and data drift.
• Define and automate "Skills" (prompt libraries, evaluation scripts, and deployment templates) to be re-used across multiple AI-Native pods.
• Define and implement quality gates, safety metrics, and cost-control practices for GenAI components.
• Lead by example in adopting AI-Native practices, mentoring the AI Apprentice and other team members in the "People + Agents" delivery model.
• Strong problem-solving and follow-up skills; must be proactive and take initiative
• Work independently on development tasks with a minimal amount of supervision

What is in for You: 

Culture of caring. At GlobalLogic, we prioritize a culture of caring. Across every region and department, at every level, we consistently put people first. From day one, you’ll experience an inclusive culture of acceptance and belonging, where you’ll have the chance to build meaningful connections with collaborative teammates, supportive managers, and compassionate leaders. 

Learning and development. We are committed to your continuous learning and development. You’ll learn and grow daily in an environment with many opportunities to try new things, sharpen your skills, and advance your career at GlobalLogic. With our Career Navigator tool as just one example, GlobalLogic offers a rich array of programs, training curricula, and hands-on opportunities to grow personally and professionally.

Interesting & meaningful work. GlobalLogic is known for engineering impact for and with clients around the world. As part of our team, you’ll have the chance to work on projects that matter. Each is a unique opportunity to engage your curiosity and creative problem-solving skills as you help clients reimagine what’s possible and bring new solutions to market. In the process, you’ll have the privilege of working on some of the most cutting-edge and impactful solutions shaping the world today.

Balance and flexibility. We believe in the importance of balance and flexibility. With many functional career areas, roles, and work arrangements, you can explore ways of achieving the perfect balance between your work and life. Your life extends beyond the office, and we always do our best to help you integrate and balance the best of work and life, having fun along the way!

High-trust organization. We are a high-trust organization where integrity is key. By joining GlobalLogic, you’re placing your trust in a safe, reliable, and ethical global company. Integrity and trust are a cornerstone of our value proposition to our employees and clients. You will find truthfulness, candor, and integrity in everything we do.

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

We are looking for an Autonomous systems engineer with a background in computer vision, control theory and mathematical modelling. The ideal candidate will have a strong math background, experience with autonomous systems, modelling and control design. 

Required Qualifications: 

• 2 years of hands-on experience with classical computer vision
• Understanding of geometrical computer vision principles 
• System identification and control
• Sensor fusion/signal processing
• Proficiency in C++ and/or experience with Python
• Experience with Linux and single-board computers
• Experience with PID controllers tuning in embedded or autonomous systems
• Ability to quickly navigate through recent research and trends in computer vision and autonomous systems
• Relevant work experience or education in STEM field

Nice to Have:

• Experience with SLAM and/or Visual-Inertial Odometry (VIO)
• Matlab
• Experience with PX4, betaflight, Ardupilot 
• Familiarity with neural networks and common CV frameworks/libraries (OpenCV, NumPy, PyTorch, ONNX, Eigen, etc.)
• Experience with simulation tools (Gazebo, AirSim)
• SITL, HITL testing
• ROS2

About us:

BetterMe — a global wellness ecosystem empowering millions to become better — physically, mentally, and emotionally. We build what makes people better and keep challenging ourselves to inspire others.

We are looking for an engineer who can build, configure, and optimize automations, including AI agents powered by modern LLM technologies.

Your impact:

• Improve and expand automation processes.
• Develop logic and prompts for multi‑step AI agents.
• Integrate agents with databases and APIs.
• Test, debug, and optimize agent performance.
• Maintain documentation and monitor agent efficiency.
• Strengthen AI expertise within the company and evolve solutions based on business needs.
• Identify new opportunities for applying AI solutions across the organization.
• Contribute to the development of AI‑related processes and infrastructure.

About you:

• 2+ years of experience with automation and AI tools.
• Understanding of LLM principles, prompt engineering, and OpenAI APIs.
• Strong proficiency in Python and SQL.
• Experience building production‑ready AI agents.
• Experience with LangChain / LlamaIndex / GPTs approach is a plus.
• Ability to quickly build MVP solutions.

What you get at BetterMe:

A mission that inspires. Every line of code, every design, every idea helps millions of people become healthier and more confident.
Trust without micromanagement. You manage your time and make decisions independently. We value outcomes, not online hours.
Growth opportunities. 90% of our leads have grown within the company. There’s space for initiative, new responsibilities, and real career upgrades.
Flexible work format. Choose what works best for you — office, remote, or hybrid.
Wellness in practice. Offline: workouts with professional trainers in our corporate gym, massage, corporate lunches, sports, and team activities — everything you need to recharge and reset together. Online: regular online workouts, partner discounts, and free access to our products.
Health insurance & corporate doctor.
Open communication. Transparency across teams, honest feedback, and support for initiatives are part of our everyday culture.
Support for sports events. We cover entry fees and encourage the team to compete and participate together.
Modern equipment. We provide new hardware and everything you need for productive work.
Legal & finance support. Experienced lawyers and financial specialists are always there to help — from documents to personal consultations.

N-iX is looking for a Lead Machine Learning Engineer (Computer Vision) to join our external expert network.
 

We are looking for a Lead-level ML expert who will support our hiring process by conducting technical interviews and evaluating candidates according to our internal competency matrix.

This is not a full-time project role, but a flexible collaboration where you will participate in technical interviews when needed.

We are looking for a Lead-level ML expert who will support our hiring process by conducting technical interviews and evaluating candidates according to our internal competency matrix.

This is not a full-time project role, but a flexible collaboration where you will participate in technical interviews when needed.

Responsibilities

• Conduct technical interviews for ML / Computer Vision candidates
• Evaluate candidates according to competency matrix
• Assess both practical experience and theoretical knowledge
• Provide clear and structured feedback after interviews
• Validate real-world experience in building and deploying ML solutions

 Requirements

• 6+ years of experience in Machine Learning / Computer Vision
• Experience taking ownership of technical solutions (design, decision-making, mentoring or leading initiatives)
• Strong hands-on engineering background
• Experience working with production ML systems
• Upper-Intermediate English or higher
  Strong hands-on experience with PyTorch or TensorFlow
• Solid understanding of end-to-end ML lifecycle
  Experience with model deployment and inference optimization
• Experience with experiment tracking tools
  (MLflow, Weights & Biases, DVC or similar)
• Understanding of distributed training concepts

 Nice to have

• Experience with model optimization tools (ONNX, TensorRT, OpenVINO, etc.)
• Experience with cloud platforms (AWS, GCP, Azure)
• Experience mentoring engineers or conducting interviews

Domain: Audio/Sound recording

Job Description

Qualifications:

• 3+ years of experience in Machine Learning Engineering, Applied AI, or related roles, with experience building and shipping production applications.
• Hands-on experience developing applications with LLMs (e.g., OpenAI APIs, open-source models, LangChain, LlamaIndex, or similar).
• Strong proficiency in Python and experience building scalable, user-facing systems or APIs.
• Experience designing and deploying interactive or real-time AI systems.
• Solid understanding of LLM concepts, including prompt engineering, retrieval-augmented generation (RAG), and model evaluation.
• Familiarity with cloud-based ML infrastructure (AWS, SageMaker, or similar), with the ability to collaborate effectively with MLOps teams.
• Clear grasp of latency, cost, and performance trade-offs when serving LLMs in production.
• Bonus: Familiarity with music production workflows, DAWs, or audio plugins.

Education:

• Bachelor’s or Master’s degree in Computer Science, related technical field, or equivalent practical experience.

Job Responsibilities

You will develop customer-facing AI experiences and contribute to the systems that support them. This includes:

• LLM Application Development: Design and build interactive, user-facing LLM-powered features such as virtual assistants, creative copilots, and intelligent workflow tools integrated into our products.
• Product Integration: Work closely with product, design, and audio engineering teams to embed AI capabilities directly into DAWs, plugins, and user-facing platforms.
• LLM Deployment & Optimization: Implement efficient, low-latency model serving strategies for real-time user interactions, balancing performance, cost, and responsiveness.
• Prompt & Interaction Design: Develop robust prompt engineering and response strategies tailored to creative workflows, ensuring high-quality, context-aware user experiences.
• Collaboration with ML Platform Teams: Partner with cloud and infrastructure engineers to leverage and extend existing pipelines (e.g., AWS SageMaker) for production deployment.
• User-Centric Iteration: Analyze usage patterns and feedback to continuously improve AI-driven features and ensure they provide clear value to musicians and creators.

Department/Project Description

The company is looking for a Machine Learning Engineer to help build and deliver next-generation AI-powered experiences for our customers. This role focuses on developing outward-facing LLM applications, such as intelligent assistants, creative tools, and interactive features integrated into our digital audio workstation and plugin ecosystem.

While you will work with state-of-the-art Large Language Models and collaborate with infrastructure teams, the core of this role is application development: designing, building, and deploying engaging, real-time AI features that enhance music creation workflows and delight our users.