Jobs ML / AI Engineer

We are open to collaboration with professionals who have hands-on experience in AI projects and strong English communication skills, and who are interested in full-time and long-term cooperation.

Responsibilities:

• Develop and integrate AI-powered features
• Write and optimize prompts for LLM-based applications
• Prepare and process data for AI models
• Support backend development for AI-related features (Python or Node.js)
• Test, evaluate, and improve AI solutions
• Collaborate with cross-functional teams (engineering, product, design)
• Document implemented solutions and workflows
   

Requirements:

• Solid programming skills in Python or JavaScript (Node.js). Ability to write and understand code is essential
• Understanding of fundamental machine learning concepts
• Experience working with REST APIs
• Familiarity with Git and version control
• Strong analytical mindset with the ability to approach problems logically and creatively
• Strong English speaking skills (B2 level or higher)

Recruitment stages: Pre-Screening call with Recruiter — Technical interview — (Optional) Technical Assignment — Job offer

Lumitech is a Dubai-based software engineering company building complex digital products for enterprise clients across the UAE and Saudi Arabia.

We are expanding our AI capabilities and looking for a strong Applied AI Engineer who can design and build real production AI systems — not just integrate APIs. Our team already handles full-stack engineering. We are looking for someone who can lead the AI layer of modern applications.

You will design and implement AI systems for enterprise products, including:

• Retrieval-Augmented Generation (RAG) platforms
• Enterprise knowledge assistants
• AI agents and workflow automation
• Document intelligence systems
• Internal copilots for large organizations

Typical projects include legal AI assistants, enterprise knowledge systems, and AI-driven automation tools.

This is not just an individual contributor role. We are looking for a person around whom we can build our AI direction — someone who can take ownership, shape architecture, and eventually grow and lead an AI team within Lumitech.

Our goal is to find a long-term partner, not just an employee — someone who will grow with us for years to come.

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.

At PwC, we work together to help clients make informed decisions, operate efficiently, and shape the future. Join our consulting team specializing in Generative AI as an AI Engineer. Our Technology Advisory team drives innovative projects every day, guiding companies through major technological changes. Current projects include applying large language models and generative AI in finance and energy sectors, as well as improving internal efficiency and accelerating workflows with AI tools.

What You’ll Do:

• Design and develop AI solutions using Large Language Models (LLMs), including advanced techniques like Retrieval-Augmented Generation (RAG) and multi-agent systems.
• Turn ideas into working prototypes and lead Proof of Concept (PoC) projects from planning to delivery.
• Apply the latest AI research to real-world challenges in industries like finance and energy.
• Collaborate with diverse teams to identify new use cases and deliver impactful solutions.

What We’re Looking For:

• 4+ years in software development, with at least 2 year in AI systems (RAG or agent-based).
• Strong Python knowledge, familiarity with databases (especially vector databases), and understanding of AI ecosystems.
• Basic knowledge and use of multi-agent systems, guardrail solutions, and orchestration frameworks (e.g., LangGraph).
• Proactive, solution-oriented, and able to work independently as well as in a team.
• Upper-intermediate English proficiency.

What We Offer:

• Work with leading experts on innovative projects that matter.
• Rapid career growth and continuous learning opportunities.
• Flexible schedule, hybrid work options, and a supportive environment.
• Competitive salary, annual bonus, and benefits including private healthcare, wellness programs, and home office allowance.
• A vibrant community with team-building events and a modern office in a prime location.

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

This is a fantastic opportunity to join a fast-growing company at the heart of the digital revolution. Our software product is revolutionising manufacturing through automation. We are trusted by global brands and work across sectors (mobility, consumer goods, machinery etc).

We have a talented and ambitious team. We value integrity and are passionate about our mission to revolutionise advanced manufacturing.

This is your opportunity to:

• Be part of an AI product company in advanced manufacturing.
• Be part of a research focused team.

Responsibilities: 

• Research, test and develop generative AI based solutions.
• Collaborate with mechanical engineers to enhance your research.
• Design and implement end-to-end AI solutions that integrate with existing systems.
• Collaborate with software engineers and product teams to understand business needs and translate them into technical solutions. 
• Research emerging AI trends and techniques to continually improve the AI solution offerings. 
• Prepare and maintain documentation on design, code, and processes to ensure organizational knowledge retention. 
• Monitor and evaluate the performance of AI systems in production, identifying areas for improvement or further development.

You will be joining a well-versed team if you have:

• Bachelor’s or Master’s degree in Computer Science, Engineering, Mathematics, or a related field. 
• Proven experience in developing generative AI or machine learning models.
• Commercial experience in using large language models.
• Programming skills in languages such as Python or JavaScript.
• Familiarity with databases (SQL, NoSQL). 
• Solid understanding of deep learning, NLP, computer vision, or other specialized areas within AI is a plus. 
• Excellent problem-solving skills and the ability to work in a fast-paced, collaborative environment.
• Good communication skills and the ability to translate complex technical concepts to non-technical stakeholders. 
• Commitment to continuous learning and development in the field of AI and emerging technologies.

About Us

Our client is MilTech startup building an on-premises platform for automated annotation of UAV video and training computer vision models for autonomous flight.

We have a strategic partnership with one of the largest Ukrainian UAV manufacturers and access to what is likely the largest privately owned UAV video dataset in the world.

The company is at a very early stage — the funding is secured, the technical vision exists, and the data is available. Our focus now is building the core engineering team to turn this platform into reality.

The Role

We are looking for aComputer Vision / Machine Learning Engineer.

We are looking for  CV/ML Engineer to join as one of the first engineers on the team. You will work closely with the technical lead to build the ML pipeline from the ground up — implementing core components across data processing, model training, and deployment.

This is an early-stage startup, so the tech stack and processes are still being shaped. You will have real input into the tools and approaches we adopt, and your work will directly define how the platform operates. We are looking for someone who is hands-on, curious, and comfortable building things that don’t exist yet.
 

What You Will Work OnData Pipeline & Preprocessing

• Build video preprocessing pipelines: clip segmentation, frame extraction, scene detection, quality filtering
• Implement embedding extraction and data curation workflows for selecting diverse training subsets from a massive video corpus
• Prepare and export datasets in standard formats for training and annotation
   

Model Training & Experimentation

• Train and evaluate computer vision models for object detection, classification, tracking, and segmentation
• Run experiments, track results, and iterate on model architectures and hyperparameters
• Implement data augmentation strategies for robustness across weather, lighting, and occlusion conditions
• Contribute to distributed multi-GPU training pipelines
   

Active Learning & Annotation Support

• Implement auto-labeling pipelines with confidence-based routing
• Build tooling around the annotation platform (pre-annotation, format conversion, quality
• Maintain automated quality checks for label consistency
   

Edge Deployment

• Export and optimize models for inference on NVIDIA Jetson (ONNX, TensorRT, FP16/INT8quantization)
• Run accuracy and latency benchmarks on edge devices
• Help maintain the model delivery pipeline from training to deployment
   

Requirements Must Have

• 3+ years of hands-on experience in computer vision and deep learning
• Solid PyTorch skills — comfortable writing training loops, custom datasets, and model code
• Experience with at least one detection or segmentation framework (YOLO family, Detectron2, MMDetection, or similar)
• Understanding of model evaluation metrics (mAP, IoU, precision/recall)
• Familiarity with experiment tracking (MLflow, W&B, or similar)
• Python as primary language; clean, well-structured code
• Comfortable working in Linux and containerized environments (Docker)
   

Nice to Have

• Model optimization experience (ONNX export, TensorRT, quantization)
• NVIDIA Jetson or other edge/mobile deployment
• Multi-object tracking (ByteTrack, DeepSORT, or similar)
• Experience with video processing pipelines (FFmpeg, OpenCV, decord)
• Data curation or annotation tools (FiftyOne, CVAT, Label Studio)
• Distributed training (DDP, Ray Train)
• UAV / drone / robotics or MilTech domain experience
   

What We Offer

• Join an early-stage team where your contributions shape the product from day one
• Work across the full ML pipeline — not just one narrow piece
• The largest privately owned UAV video dataset in the world — petabyte-scale, impossible toreplicate
• Dedicated on-prem GPU resources — no cloud queues or budget negotiations for compute
• Open-source-first approach with no vendor lock-in
• Growfast in a small team with direct mentorship from the technical lead

The product company is looking for a AI/ML Engineer in Warsaw.

The company is a successful market leader, a live-streaming Platform with 450+ Million registered users.
Their B2C mobile platform allows millions of talented people worldwide to connect with their fans and monetize their talents.
The company was founded in 2018 in the USA and is powered by 350+ global employees.

They offer: options, medical insurance (100% for employees and 75% for family members), lunch in the office, parking, multisport card.

Requirements: experience in an ML role and with LLMs (prompt engineering, RAG architectures, LLM integration).

WPP is the creative transformation company. We use the power of creativity to build better futures for our people, planet, clients and communities. For more information, visit wpp.com.
WPP Media is WPP’s global media collective. In a world where media is everywhere and in everything, we bring the best platform, people, and partners together to create limitless opportunities for growth. For more information, visit wppmedia.com

About Choreograph: A Leading WPP Media Brand
Choreograph is WPP’s global data products and technology company. We’re on a mission to transform marketing by building the fastest, most connected data platform that bridges marketing strategy to scaled activation.

We work with agencies and clients to transform the value of data by bringing together technology, data and analytics capabilities. We deliver this through the Open Media Studio, an AI-enabled media and data platform for the next era of advertising.

We’re endlessly curious. Our team of thinkers, builders, creators and problem solvers are over 1,000 strong, across 20 markets around the world.

Essential

• GCP (esp Vertex, BigQuery, Model Registry)
• Python (needs to be very strong)
• Docker
• FastAPI (or similar)
• SQL
• Terraform
• Strong understanding or even hands-on ML experience
• Package management (uv is cool, but don’t mind others e.g. poetry; we work with a whole range here)
• Scalable experimentation & model tracking (no specific tech as we’re using native GCP logging and metadata store atm, but as we mature open-source tech e.g. MLFlow will be brilliant), and Scalable ML deployment experience (i.e. standing up an inference endpoint for hardly no traffic doesn’t count)

Desirable:

• FTI (Feature/Training/Inference) framework
• Common ML frameworks (such as PyTorch, Sklearn)

Bonus:

• RAG
• LLM orchestration tool e.g LangGraph,
• Reinforcement Learning tools e.g. OpenaiGym, RLib

Job Responsibilities

The Machine Learning Engineer is responsible for deploying and maintaining the algorithms developed by data scientists. This role will be part of the Optimize Data Science team (3 FTEs plus seconded team of 5 FTEs)

While Data Scientists focus on research and model development, the ML Engineer is responsible for the technical infrastructure, scaling, performance optimization, and maintenance of the models. Their work involves implementing, testing, deploying, and monitoring the models in a production environment.

• Model deployment: Takes models (brand new or improvements to existing models) developed by data scientists and builds the software and infrastructure to deploy them into a live production environment.
• Performance optimization: Optimizes code for latency and efficiency across different hardware, like CPUs and GPUs, and overall quality (e.g. readability, maintainability, reliability and so forth).
• System design & scaling: Designs, builds, and maintains the technical components that integrate into existing software to train, deploy, and scale ML models. (N.B. There will be opportunity to work on new systems from ground up later in the year, too.)
• Monitoring and maintenance: Implements logging and monitoring to track model performance, identifies and fixes bugs (in collaboration with wider teams if appropriate), and performs necessary updates and improvements.
• Collaboration: Works closely with data scientists and wider engineering teams to understand the model and help convert it into a production-ready system.
• Experimentation: Design, build and deploy technical components based on the methodologies designed by Data Scientists to enable scalable experiments, model evaluation and visualisation of results.
• Up-skilling DS in ML Engineering and AI innovations: Support DS team to utilise modern and cloud-based (esp GCP) technologies for development (e.g. Vertex, Docker, BigQuery, Dev Containers, Ray and others) to expedite and innovate the entire development lifecycle

OLSYS Ltd provides full-service solutions for mid-market and enterprise organizations.

As an enterprise software development company, we are building long-term partnerships helping our clients accelerate their digital experiences with reasonable IT investments.

Our tailored approach, e-commerce focus, and flexible solutions allow us to design, develop, and deliver scalable, integrated commerce platforms that drive profits and boost the business.

19+ years of experience, 100+ projects, 200+ specialists.

Overview

Are you passionate about coding and curious about the world of Artificial Intelligence?
Do you want to work on real AI projects and grow with a team that encourages experimentation, creativity, and hands-on learning?

We’re looking for a Junior Developer who’s eager to dive into the AI space and help us build smart solutions for our internal needs. You’ll also have the chance to take part in exciting R&D initiatives where we explore the latest AI technologies and tools.

Requirements:

• Some proven development experience (pet projects or non-billable positions in commercial projects)
• Curiosity about AI/ML and desire to build cool things with it (OpenAI APIs, Hugging Face, LangChain).
• Interested in solving problems and thinking creatively.
• Proactivity, self-motivation, and willing to learn fast.
• Desire to  work in a small, friendly, and supportive team.
• Higher education 

English level: Strong Intermediate or higher

Responsibilities:

• Maintain existing AI-powered tools and applications.
• Research and experiment with new technologies in the fields of AI and automation.
• Work closely with our product and engineering teams to bring AI ideas to life.
• Learn and grow through real projects, mentorship, and collaboration.

What We Offer

• A chance to work on real AI projects that have a visible impact. 
• Freedom to explore and experiment with new ideas. 
• Access to learning resources, mentorship, and growth opportunities. 
• Flexible schedule and remote-friendly environment. 
• A team that values initiative, creativity, and fun.

We are looking for a Senior Data Scientist with strong technical expertise and a practical mindset to work on complex data-driven challenges. In this role, you will design and implement ML and GenAI solutions, experiment with modern approaches, and transform ambiguous business problems into scalable, production-ready systems.

Requirements
Must-have

• 4+ years of experience in Data Science
• 4+ years of hands-on experience with Python
• Strong understanding of Machine Learning fundamentals, including:
  • regression and classification models
  • feature engineering and model evaluation
• Practical experience with LLMs and GenAI, including:
  • GPT / ChatGPT or similar LLMs
  • LangChain
  • Retrieval-Augmented Generation (RAG)
• Experience with EDA, data preprocessing, and basic dimensionality reduction (e.g. PCA)
• Hands-on experience with tree-based models (e.g. XGBoost)
• Experience building scalable and high-load solutions
• Ability to write clean, maintainable code
• Participation in technical and architectural decisions
  
  Nice to have
• Experience with NLP libraries (SpaCy, Hugging Face)
• Understanding of Explainable AI (XAI) and model interpretability
• Experience with cloud platforms (AWS / GCP / Azure)
• Ability to translate business problems into ML solutions

• Background in R&D, experimentation, or prototyping

  
  Key Responsibilities

• Develop AI agents that utilize LLM, RAG and langchain approach;
• Implement LLM and Diffusion models to boost business productivity;
• Utilize LLM (LLM Vision) to improve object detection, text classification and extraction;
• Create forecasting, recommendation, and classification models;
• Transform business challenges to AI applications;
• Conduct R&D activities: explore new ML/GenAI techniques and assess their practical impact.
• Collaborate with engineering, product, and business teams to deliver impactful data-driven solutions.
  
  We offer:
• Great networking opportunities with international clients, challenging tasks;
• Building interesting projects from scratch using new technologies;
• Personal and professional development opportunities;
• Competitive salary nominated in USD;
• Paid vacation and sick leaves;
• Flexible work schedule;
• Friendly working environment with minimal hierarchy;

• Team building activities, corporate events.

   

N-iX is a global software development company founded in 2002, connecting over 2,400+ tech professionals across 40+ countries. We deliver innovative technology solutions in cloud computing, data analytics, AI, embedded software, IoT, and more to global industry leaders and Fortune 500 companies. Join us to create technology that drives real change for businesses and people across the world.

We are seeking an exceptional Senior AI Engineer to join our team and drive the development of cutting-edge AI solutions that includes conversational, Agentic AI's. This role focuses on building advanced conversational AI systems, implementation AI Agents across different use cases,  implementing sophisticated RAG architectures, and deploying production-grade voice AI applications. The ideal candidate will have deep expertise in LLM technologies and a proven track record of delivering scalable AI solutions.
 

Responsibilities:

• Design and implement advanced Retrieval-Augmented Generation (RAG) systems with sophisticated chunking strategies, multi-vector retrieval, and hybrid search architectures.
• Develop and optimize conversational AI agents with complex multi-turn dialogue management and context awareness.
• Build production-ready voicebot solutions integrating real-time speech processing pipelines.
• Architect and deploy Text-to-Speech (TTS) and Speech-to-Text (STT) systems with low latency and high accuracy.
• Design and deploy PROD-grade AI Agents that can scale up for various use cases.
• Fine-tune large language models using various techniques.
• Optimize model performance through prompt engineering, few-shot learning, and retrieval strategies.
• Implement evaluation frameworks and metrics for LLM outputs and conversational quality.
• Develop custom training pipelines for domain adaptation and specialized use cases.
• Design scalable AI infrastructure supporting real-time inference and high-throughput batch processing.
• Implement efficient vector databases and semantic search systems (Pinecone, Azure Search).
• Build monitoring and observability solutions for AI systems in production.
• Stay current with latest developments in LLM architectures, RAG techniques, and voice AI technologies.
• Experiment with emerging models and frameworks to evaluate applicability to business problems.
• Contribute to technical documentation, best practices, and knowledge sharing within the team.
• Prototype and validate new AI capabilities through POCs and pilots.
   

Requirements:

• 5+ years of software engineering experience with focus on AI/ML engineering.
• Strong proficiency in Python and ML frameworks (PyTorch, TensorFlow).
• Deep hands-on experience with advanced RAG systems.
• Proven experience building conversational AI systems.
• Production experience with voicebot development.
• Expertise in TTS and STT technologies.
• Strong experience with LLM fine-tuning.
• Proficiency with cloud platforms (AWS, GCP, or Azure) and containerization (Docker, Kubernetes).
• Experience with MLOps tools and practices (MLflow, Weights & Biases, experiment tracking).
• Strong understanding of API design, microservices architecture, and system integration.
   

We offer*:

• Flexible working format - remote, office-based or flexible
• A competitive salary and good compensation package
• Personalized career growth
• Professional development tools (mentorship program, tech talks and trainings, centers of excellence, and more)
• Active tech communities with regular knowledge sharing
• Education reimbursement
• Memorable anniversary presents
• Corporate events and team buildings
• Other location-specific benefits

*not applicable for freelancers

N-iX is a global software development company founded in 2002, connecting over 2,400+ tech professionals across 40+ countries. We deliver innovative technology solutions in cloud computing, data analytics, AI, embedded software,IoT, and more to global industry leaders and Fortune 500 companies. Join us to create technology that drives real change for businesses and people across the world.

Our client is a global UK-based financial services and investment banking organization developing an AI-powered document processing and automation platform used across multiple businesses within the wider banking group. The platform leverages modern cloud and AI technologies to transform legacy workflows, enhance data quality, and accelerate digital decision-making.

Position Overview:
 

We are looking for a Tech Lead Full Stack Engineer with strong hands-on engineering expertise leading agile software development teams. The ideal candidate will define and drive the technical strategy of the platform, guide engineers in delivering scalable and secure systems, and actively contribute to architectural decisions and solution design.

This role requires both strong technical depth and leadership capabilities, particularly in environments involving Google Cloud, microservices, APIs, Python and data-intensive processing.

The Tech Lead will work closely with product, architecture, data science, and engineering teams to ensure high-quality delivery and alignment with business outcomes.

Join Our Team & Earn Exciting Bonuses!
As a special incentive, we’re offering a Welcome Bonus of $3,000 USD for a new hire. Plus, if you refer a friend who gets hired, you’ll receive a Referral Bonus of $2000 USD!

Key Responsibilities:

• Define and communicate the technical vision, architecture, and engineering roadmap for the team and platform.
• Lead engineers, conduct code reviews, provide architectural guidance, and ensure adherence to engineering standards.
• Lead the technical delivery lifecycle from design and development to deployment and maintenance.
• Build scalable, high-performance microservices and UI and APIs using modern frameworks and cloud-native design principles.
• Oversee integration of AI components (E.g Google Cloud, Vertex AI, Gemini models, and LLM evaluation frameworks)
• Promote test-driven development, automate testing pipelines, and ensure robust, maintainable code.
• Work with product managers, architects, BAs, and business teams to translate business needs into technical solutions.
• Contribute to product strategy, identify technical opportunities, and propose improvements to shape future releases.
• Drive best practices for cloud infrastructure, security, observability, and performance optimization on Google Cloud.
   

Requirements:

• 8+ years of experience in software engineering with at least 3+ years in a Tech/Team Lead role.
• Strong background in software/platform/database design in data-heavy or distributed environments.
• Hands-on experience with microservices, React JS, and cloud-native architectures.
• Proficiency in Python.
• Solid Cloud experience (GCP is prefferable) 
• Hands-on experience building and integrating LLM pipelines, handling conversation memory, and long-running workflows
• Proficiency in RAG architectures with a focus on optimized search retrieval and scalable data indexing strategies
• Practical experience with AI output validation, automated evaluation strategies, and secure AI integration
• Experience with LLM observability, tracing (e.g., LangSmith, Langfuse), and token usage/cost optimization
• Experience implementing automated testing frameworks, CI/CD pipelines, and TDD/BDD practices.
• Strong understanding of software engineering principles: scalability, performance, reliability, observability.
• Proven experience leading engineering teams in agile delivery environments.
• Advanced English and excellent communication skills and ability to work with both technical and non-technical stakeholders.
   

Nice to Have:

• Prior exposure to document processing platforms, OCR, NLP, or workflow automation.
• Experience in financial services or other regulated industries.
• Familiarity with architectural frameworks (C4 modeling, DDD, event-driven systems).

We offer*:

• Flexible working format - remote, office-based or flexible
• A competitive salary and good compensation package
• Personalized career growth
• Professional development tools (mentorship program, tech talks and trainings, centers of excellence, and more)
• Active tech communities with regular knowledge sharing
• Education reimbursement
• Memorable anniversary presents
• Corporate events and team buildings
• Other location-specific benefits

*not applicable for freelancers

About the Role

We’re looking for a GPU Performance Engineer to optimize and scale high-performance AI workloads at the kernel level.

This role focuses on deep performance engineering — working directly with CUDA kernels, GPU architecture, and profiling tools to unlock efficiency across training and inference systems. You’ll work on compute-intensive workloads where every microsecond and memory access pattern matters.

If you enjoy low-level optimization, understanding how hardware really works, and pushing systems to their limits — this role is for you.

What You’ll Do

• Design, optimize, and debug CUDA kernels for high-performance AI workloads
• Improve performance of compute-intensive operations (e.g., GEMM, attention, MoE, graph workloads)
• Apply low-level optimization techniques across memory hierarchy, warp execution, tensor cores, and compute efficiency
• Profile and eliminate GPU bottlenecks using tools like Nsight Systems and Nsight Compute
• Integrate optimized kernels into modern AI training and inference stacks
• Build internal tooling for benchmarking, profiling, and performance analysis
• Collaborate with engineering teams on performance-critical model infrastructure
• Contribute reusable performance improvements and best practices across the stack

What We’re Looking For

• Strong hands-on experience with CUDA kernel development and optimization
• Deep understanding of GPU architecture (memory hierarchy, warp scheduling, synchronization)
• Strong C/C++ skills for high-performance systems programming
• Proven experience identifying and resolving GPU performance bottlenecks
• Experience optimizing compute-heavy workloads in real-world systems
• Familiarity with GPU profiling tools (Nsight Systems, Nsight Compute, or similar)
• Experience integrating custom kernels into ML frameworks
• Strong debugging skills and performance-oriented mindset

Nice to Have

• Experience with PTX and architecture-specific optimizations
• Familiarity with modern GPU architectures (e.g., Hopper, Blackwell)
• Experience optimizing Transformer workloads (e.g., attention, FlashAttention)
• Familiarity with Triton, CUTLASS, Thrust, or CUB
• Experience with multi-GPU systems (e.g., NVLink, NCCL)
• Open-source contributions or relevant research in GPU / HPC

Why This Role

• Work on cutting-edge AI systems with real performance impact
• Solve complex low-level engineering problems at the hardware boundary
• High ownership over performance-critical components
• Opportunity to push modern GPU systems to their limits

About the Role

We’re looking for a Machine Learning Engineer focused on evaluation and data quality to help improve the performance of modern ML and LLM systems.

This role is centered around understanding model behavior, identifying failure patterns, and building strong evaluation and feedback loops. You won’t be training models directly — instead, you’ll play a critical role in improving model outcomes through better data, analysis, and experimentation.

If you enjoy analytical problem-solving, working with real-world data, and making ML systems measurably better — this role is for you.

What You’ll Do

• Analyze and improve datasets used in ML and LLM workflows
• Perform detailed error analysis on model outputs (qualitative and quantitative)
• Design and implement evaluation frameworks, benchmarks, and quality checks
• Identify failure modes, data gaps, and improvement opportunities
• Support model experimentation with structured insights and feedback
• Collaborate closely with ML engineers and researchers to improve system performance
• Document evaluation methodologies, findings, and recommendations
• Help maintain high standards for data quality, consistency, and bias awareness

What We’re Looking For

• 5+ years of experience in Machine Learning or Applied ML roles
• Strong understanding of ML fundamentals and evaluation methodologies
• Hands-on experience working with real-world datasets for ML or LLM systems
• Strong Python skills
• Experience with data validation, evaluation pipelines, and error analysis
• Strong analytical thinking and attention to detail
• Ability to work independently and clearly communicate insights

Nice to Have

• Experience with LLMs, NLP, or generative AI systems
• Background in data annotation, QA, or evaluation-heavy ML environments
• Experience with experiment tracking, prompt evaluation, or benchmark design
• Exposure to bias analysis, robustness testing, or dataset auditing
• Research or competition-based ML background

Why This Role

• Work on cutting-edge ML and LLM systems
• Direct impact on model quality and real-world performance
• High ownership in shaping evaluation and data practices
• Collaborative, fast-moving engineering environment

Are you a Data Scientist with a love of LLMs, generative AI?

We are looking for a passionate Data Scientist to implement AI solutions aimed at achieving business goals.

This role offers the opportunity to work on cutting-edge AI adoption projects that helps to improve current business processes.

Skills requirements:
• Strong Python Experience (3 year +);
• Experience with LLM , Diffusion models;
• Knowledge of Prompt engineering;
• Experience with Gen AI-related technologies such as LangChain and RAG;
• Experience with Neural Networks (Optional) ;
• Experience with NLP , Predictive analytics and Machine learning;
• Experience with Pandas;
• Experience with SQL, including experience with large datasets;
• Strong experience in statistics;

Key responsibilities:
• Develop AI agents that utilize LLM, RAG and langchain approach;
• Implement LLM and Diffusion models to boost business productivity;
• Utilize LLM (LLM Vision) to improve object detection, text classification and extraction;
• Create forecasting, recommendation, and classification models;
• Transform business challenges to AI applications;

We offer:

• Great networking opportunities with international clients, challenging tasks;

• Building interesting projects from scratch using new technologies;

• Personal and professional development opportunities;

• Competitive salary nominated in USD;

• Paid vacation and sick leaves;

• Flexible work schedule;

• Friendly working environment with minimal hierarchy;

• Team building activities, corporate events.

About the Role

We’re looking for a strong Backend Engineer to help build and scale the systems that power complex AI training and execution workflows.

This is a high-impact role focused on designing and operating distributed systems that process large volumes of data and tasks. You’ll work on core backend infrastructure where performance, reliability, and scalability are critical.

If you enjoy building production systems from the ground up, solving complex engineering problems, and owning systems end-to-end — this role is for you.

What You’ll Do

• Design and build backend services that support large-scale AI workflows and task execution
• Develop and operate high-throughput, low-latency systems
• Build distributed workflows and orchestration components
• Collaborate closely with ML engineers, researchers, and product teams
• Own production systems: reliability, performance, monitoring, and scalability
• Contribute to system architecture and engineering best practices

What We’re Looking For

• 3+ years of experience building and shipping backend systems in production
• Strong fundamentals in system design, data structures, and distributed systems
• Experience building systems that operate at scale
• Proficiency in Python or Go
• Solid understanding of databases, async processing, and backend architecture
• Ability to work in fast-moving, high-ownership environments
• Strong problem-solving skills and engineering judgment

Nice to Have

• Experience with workflow engines or orchestration systems
• Background in infrastructure-heavy or AI-adjacent systems
• Experience building early-stage (0→1) products or platforms
• Computer Science degree or equivalent practical experience

Why This Role

• Work on technically challenging systems at scale
• High ownership and real impact on product and architecture
• Opportunity to shape core infrastructure from early stages
• Collaborative environment with strong engineering culture