Вакансії Data Scientist / Machine learning Engineer

Project description

Our client, a leading manufacturer of high-end household appliances, is expanding into new smart product lines. As part of this strategic initiative, a large-scale global program is being implemented across the company's IP portfolio. This includes the development of new embedded software, enhancements to cloud infrastructure.

Responsibilities

• Work directly with computer vision perception engineers, and camera ISP engineers.
• Define the image quality requirements for customer use cases
• Develop image processing algorithms to optimizing the camera image quality for performance improvement of computer vision applications
• Develop custom ML models for visual recognition and training it from scratch
• Quantization and pruning the ML models
• Data evaluation using relevant metrics to increase the model performance
• Implement computer vision/image processing algorithms in fast/optimal C++ code
• Implement heuristic/math algorithms and probabilistic methods for camera AI
• Research existing C++ solutions for CV logic
• Develop cross platform C++ code
• Cover algorithms and CV code with unitest
• Ramp up on new technologies related to CV/ML/algorithms (not R&D)
• Integrate machine learning modules into algorithms

Must have skills

• Bachelor's Degree or greater in Computer Science, Software Engineering, or related field.
• 3-5 years of experience developing computer vision applications/algorithms
• Participate in at least 2 image processing / computer vision projects and 1 of them productized
• Image processing / computer vision background/understanding
• Strong C/C++ experience
• Experience with OpenCV and ML frameworks such as Pytorch, TensorFlow, TensorFlow Lite
• Deep understanding of neural network architectures
• Experience to work with embedded devices in C++ on Linux
• Decent understanding geometry 2D/3D and algebra
• Desire to learn new technologies
• Desire to follow test driven development(in CV/ML too)

Nice to have

• Experience with machine learning integration, inference engines
• Machine learning general understanding
• Building for Android/Yocto experience
• OpenCL/cuda or OpenGL/Vulkan(shaders) experience/understanding and desire to learn or any different SIMD language

That would be wonderful if you have:

• Minimum 5 years of experience in autonomy, robotics, or computer vision systems.
• Proficient in OpenCV, visual SLAM, and real-time localization.
• Strong skills in C++ and Python; experience with ROS/ROS2.
• Demonstrated experience with ML model training and deployment (TensorFlow, PyTorch, etc.).
• Ability to run perception and AI systems on embedded Linux hardware.
• Understanding of flight dynamics and real-time motion planning.
• Ability to debug and tune systems in field environments.

Would be a plus:

• Experience with ArduPilot, PX4, or similar UAV control frameworks.
• Familiarity with object detection models (e.g., YOLO, MobileNet) and model quantization.
• Experience with multi-agent autonomy, swarm logic, or distributed path planning.
• Background in defense, tactical robotics, or mission-critical systems.
• English level not lower than B1 (Intermediate).
• Agile development experience (Jira, Git).

Responsibilities:

• Design and integrate real-time SLAM pipelines (visual-inertial preferred) for autonomous navigation.
• Object tracking algorithms using OpenCV.
• Train and deploy lightweight ML models for onboard inference in real-world conditions.
• Integrate AI/ML modules for target detection and behavioral decision-making.
• Support GPS-agnostic navigation via sensor fusion and terrain-aware motion planning.
• Collaborate with embedded, full-stack, and hardware teams to align the autonomy stack with system-level constraints.
• Optimize performance on ARM-based edge compute platforms (Raspberry Pi, Jetson Nano, etc.).

We are looking for a skilled Senior Data Science Engineer to join our team on a part-time basis.
In this role, you will work on enhancing and customizing Language Models (LLMs) for various business needs. Your expertise in Python, AI/ML frameworks, NLP, and Prompt Engineering will be crucial in refining AI-generated text prompts and optimizing their performance.

Required Skills and Experience

• 3+ years of Python experience, including proficiency in AI/ML frameworks (TensorFlow, PyTorch, Keras)
• 2-5 years of experience in NLP & LLMs (BERT, GPT-3/4, T5) with expertise in fine-tuning models
• Strong knowledge of Prompt Engineering techniques (Chain of Thought, In-Context Learning, Tree of Thought)
• Familiarity with Retrieval-Augmented Generation (RAG)
• Analytical mindset with strong problem-solving skills to optimize prompts and evaluate model performance
• Excellent communication skills for collaboration and documentation
• B2+ English proficiency

Would be a plus

• Experience with Vector Databases
• Knowledge of LangChain

Responsibilities

• Design, refine, and improve AI-generated prompts for different applications
• Collaborate with engineers to integrate optimized prompts into production systems
• Analyze prompt efficiency using key metrics and user feedback for continuous improvement
• Work closely with cross-functional teams to align prompts with business objectives and user needs
• Document best practices, train teams on Prompt Engineering, and stay updated on the latest AI advancements

Our mission at Geniusee is to help businesses thrive through tech partnership and strengthen the engineering community by sharing knowledge and creating opportunities. Our values are Continuous Growth, Team Synergy, Taking Responsibility, Conscious Openness and Result Driven. We offer a safe, inclusive and productive environment for all team members, and we’re always open to feedback. If you want to work from home or work in the city center of Kyiv, great – apply right now.

Requirements

• 4+ years of hands-on experience in computer vision, with a strong focus on embedded/edge device optimization;
• Deep knowledge of CNN-based object detection and face detection techniques;
• Expertise in model compression, quantization, and acceleration for embedded inference;
• Strong Python and C++ development skills;
• Experience with deployment tools: TensorRT, ONNX Runtime, TFLite, OpenVINO, or CoreML;
• Familiarity with embedded platforms (e.g., NVIDIA Jetson, Qualcomm Snapdragon, Raspberry Pi with Coral Edge TPU);
• Experience in profiling and optimizing models for latency, throughput, and memory efficiency.

What you will do

• Communication: Lead as part of a scrum team focused on delivering production-ready, optimized computer vision models. Promote clear, respectful, and constructive communication;
• Collaboration: Work closely with machine learning engineers, software developers, and hardware teams to ensure seamless integration of vision models into products;
• Documentation: Maintain high standards for documenting model training processes, optimization techniques, deployment pipelines, and performance benchmarks;
• Continuous improvement: Stay updated on state-of-the-art research in embedded computer vision and edge AI, bringing new ideas and technologies into the development process;
• Planning: Actively participate in sprint planning and provide accurate estimations, particularly for model optimization and deployment tasks.
• Model Development and Optimization:
  • Design and optimize CNN-based object detection and face detection models;
  • Implement advanced model optimization techniques, including pruning, quantization, and knowledge distillation;
  • Develop models with a focus on efficient deployment on embedded or edge devices.
• Embedded Deployment:
  • Use tools like TensorRT, ONNX Runtime, TFLite, OpenVINO, or CoreML for deployment;
  • Work with embedded hardware platforms such as NVIDIA Jetson, Qualcomm Snapdragon, and Raspberry Pi with Coral Edge TPU.
• Performance Profiling:
  • Profile models for latency, throughput, and memory efficiency;
  • Optimize the inference performance to meet strict resource and timing constraints on target devices.
• Development Skills:
  • Develop and maintain codebases in Python and C++ to support model integration and deployment pipelines.

Binariks is looking for an experienced and highly skilled solutions engineer/architect specialized in LLMs and Agentic Frameworks.This role bridges sales/pre-sales activities and technical delivery teams. Main responsibilities lie in understanding client needs, architecting and designing innovative AI solutions, demonstrating feasibility via POC, supporting the sales process and providing technical leadership and advisory during the project execution.

What We’re Looking For:

• 5+ years of experience combined in DataScience, AI/ML Engineering or Software engineering
• At least 2 years of proven hands on experience in building solutions utilizing LLMs including practical application of fine tuning, prompt engineering techniques
• Demonstrated ability in design, building and deploy AI agents or multi agents systems using well established frameworks (LangChain, LlamaIndex, CrewAI, AutoGen or similar) including regulatory requirements and constraints around security and explainability
• Familiarity with AutoML platforms like DataRobot, H2O and cloud deployments AWS/GCP/AZURE
• Proved experience in a client facing role such as Architect, advisor, consultant, technical presales

Desired qualifications

• Professional certification in one of the top clouds (AWS, GCP, Azure) in Architecture or AI/ML specialty
• Experience with specific enterprise platforms like Salesforce Einstein, Databricks Mosaic Ai etc
• Experience in applying AI solution in specific industry verticals (Healthcare, Finances, Insurance, Manufacturing, Retail)

Your Responsibilities:

• Collaborate closely with the presales teams to engage prospective clients acting as a primary technical point and trusted advisor
• Lead technical discovery sessions, workshops and assessments to deeply understand client business challenges, technical environment and identify opportunities.
• Architect end to end solutions tailored to client needs to automate complex business processes and workflows.
• Develop and deliver compelling technical presentations, demos and customized POCs that effectively showcase business value
• Provide technical expertise for creation proposals, SOWs,implementation roadmaps and accurate cost/effort estimations
• Engage in hands on development activities, review code, fine tune LLMs and models, implementing advanced prompt engineering techniques and integrating AI components with client existing system.
• Build, test, deploy, manage scalable and secure AI agents and agentic workflows
• Implementing and follow MLOps/LLMOps best practices for AI project lifecycle, including version control and CI/CD, performance monitoring and feedback loops.
• Collaborate effectively with project delivery teams and ensure seamless integration with clients systems, facilitate smooth transition from POC to production
• Serve as SME in LLMs, Generative AI, Agentic AI and their practical applications for both external and internal teams
• Provide advisory services, guidance and support during and after project implementation to guarantee client success
• Identify opportunities and contribute to the development of reusable components, frameworks and reference architectures
• Continuously research and stay up to day to the latest advancements , frameworks, tools and best practices.

About client

They use generative AI to scale formal verification, making software safer and more secure. They specialize in verifying smart contracts within the web3 ecosystem and plan to expand to traditional software. They are a small team tackling blockchain challenges while building automated verification tools.

Qualifications and skills

• LLM & Context Engineering: Expertise with prompt engineering, RAG, and designing AI systems that work with complex data and reasoning.
• Measuring: Familiarity with Weights and Biases Weave or similar tracking and evaluation frameworks.
• Math Excellence: Strong math background, with a history of excelling in school, university, or equivalent experience.
• Mindset: Thinking from first principles.
• Must have an understanding of what MCP and MLOps are and be aware of industry developments over the past 2–3 years

Nice to have:

• Move: Experience with Sui Move is highly valued but not required.
• Join a small, elite team with a culture of excellence.
• Work on the cutting edge of program analysis, AI, and blockchain security.
• Shape the future of software verification and security.

Responsibilities:

• Develop techniques to help LLMs reason about complex code and security properties
• Context engineering
• Design and evolve our test/evaluation framework
• Optimize for cost and scaling in AI systems deployed for verification and analysis

Що потрібно робити:

• Регулярно досліджувати та оцінювати передові технології, інструменти та методології в галузі генеративного ШІ та машинного навчання
• Надавати практичну підтримку команді Data Science на початкових етапах проєктів у сфері ML/AI (технічна оцінка, проєктування архітектури, розробка PoC та код-рев'ю)
• Розробляти універсальні рішення та спільні стандарти, для прискорення роботи над майбутніми проєктами
• Забезпечувати відповідність технічних рішень бізнес-цілям та операційним стандартам
• Проводити технічну оцінку та рев'ю архітектури, що охоплюють валідацію моделей, відповідність вимогам безпеки та нормативним вимогам

Необхідні знання, досвід та особисті якості:

• 4+ роки досвіду в розробці, навчанні, налаштуванні (fine-tuning) та розгортанні ML-моделей у робочому середовищі (production)
• Практичний досвід роботи щонайменше з однією хмарною платформою (AWS, GCP або Azure)
• Досвід роботи з інструментами для відстеження експериментів та системами моніторингу як для ML систем, так і для генеративного ШІ
• Практичний досвід створення та оцінки сервісів на основі генеративного AI, включно з RAG-системами, інтеграцією API великих мовних моделей (LLM) та інжинірингом запитів/контексту (prompt/context engineering)
• Досвід роботи з фреймворками етики ШІ, виявленням упередженості (bias) та оцінкою справедливості моделей (model fairness)
• Сильні навички програмування, особливо у Python
• Впевнене володіння основними фреймворками для ML та генеративного ШІ (PyTorch/TensorFlow, HuggingFace, SKlearn, OpenAI/Anthropic/Google SDK, LangChain/LangGraph тощо)
• Здатність ефективно пояснювати складні технічні концепції та бути наставником для членів команди
• Знання англійської мови на рівні Intermediate (B1) + для письмової звітності і комунікації

We are looking for a skilled and motivated Data & ML Engineer to join our IT team. In this role, you will design, build, and maintain scalable data pipelines and infrastructure to support analytics, reporting, and decision-making, as well as develop and deploy AI agents and generative AI solutions. You will collaborate closely with analysts and software engineers to ensure efficient data flow and integrity across systems.

What you will do

• Design, develop, and maintain reliable data pipelines and ETL processes
• Build and optimize data systems and architectures for real-time and batch processing
• Develop AI agents using LLMs, multi-agent frameworks, and advanced prompting strategies
• Build and maintain vector databases and embedding pipelines for semantic search and RAG
• Integrate search engines and retrieval systems with AI agents
• Develop and manage data models, schemas, and integration strategies
• Ensure data quality, consistency, and security across all platforms
• Work with cloud technologies (AWS, Azure, GCP) to deploy and manage solutions
• Monitor and troubleshoot data infrastructure performance
• Document data flows, processes, and best practices

Who we are looking for

• Bachelor’s or Master’s degree in Computer Science, Data/ML Engineering, or related field
• Strong knowledge of SQL and Python
• Familiarity with data warehousing, big data technologies (e.g., Spark), and data lakes
• Hands-on experience with cloud-based data services (AWS Glue, Azure Data Factory, GCP Dataflow)
• Strong problem-solving skills and attention to detail

Preferred qualifications

• 3+ years of experience in ML engineering, including work with generative AI
• Experience with statistical data processing, and distributed ETL pipelines
• Experience with ML libraries (Transformers, LangChain) and foundation models (GPT, Claude, etc.)
• Knowledge of transformer architectures and attention mechanisms
• Knowledge of Elasticsearch/OpenSearch integration and optimization
• Experience with Docker/Kubernetes for deployment and orchestration
• Familiarity with CI/CD pipelines and version control (Git)
• Relevant certifications (AWS, Google Cloud, etc.)

What is the project, and why should you care?

Symphony Solutions is a Cloud and AI-driven IT company headquartered in the Netherlands. We are a premier software provider of custom iGaming, Healthcare, and Airline solutions. Devoted to delivering the highest quality of service, we offer our expertise in full-cycle software development, cloud engineering, data and analytics, AI services, digital marketing orchestration, and more. Since our founding in 2008, Symphony Solutions has been serving many international clients primarily in Western Europe and North America.
We’re seeking a Python Developer to join our innovative AI team. This role is focused on building intelligent agents using Microsoft Autogen (or similar tools) and integrating them into AI-driven platforms. You’ll work closely with architects, data engineers, and other developers to create dynamic, adaptive systems that interact with users, data, and tools autonomously. Your work will power solutions in various domains, including automation, analytics, and LLM-based product features.

You will be an excellent fit for this position if you have:

• 4+ years of experience in Python development, including async programming
• Hands-on experience with LLM agent frameworks, especially Microsoft Autogen, Langchain, Crew AI, LlamaIndex, etc
• Solid knowledge of cloud platforms: Azure, AWS, or GCP (at least one required)
• Strong understanding of web development and modern API design (e.g., FastAPI, Flask)
• Good experience with SQL and NoSQL databases (e.g., PostgreSQL, MongoDB, Redis)
• Understanding of Machine Learning basics (e.g., inference pipelines, embeddings, vector stores)
• Familiarity with containerized development (Docker) and cloud deployment practices
• Solid Git workflow experience, CI/CD pipelines knowledge
• English proficiency (Intermediate or higher)

Nice to Have:

• Experience building multi-agent systems or working with agent orchestration tools
• Exposure to RAG (Retrieval-Augmented Generation) and vector search (e.g., FAISS, Weaviate)
• Familiarity with LangChain, LangGraph, LlamaIndex, CrewAI
• Hands-on experience with streaming data, event-driven architecture, or message queues (e.g., Kafka, RabbitMQ, and their cloud versions like Kinesis and MQ)
• Knowledge of observability tools (e.g., Prometheus, Grafana, OpenTelemetry)
• Experience with DevOps tools and infrastructure-as-code (Terraform, Helm, etc.)

Here are some of the things you’ll be working on:

• Design and develop intelligent agents using Python and Autogen framework (or similar frameworks)
• Collaborate with AI/ML teams to integrate LLMs (e.g., OpenAI, Anthropic, Google, etc.) into multi-agent workflows
• Develop and maintain cloud-native applications and services (Azure / AWS / GCP)
• Create robust APIs and integrate them with external/internal systems
• Implement data ingestion, transformation, and storage logic using SQL, NoSQL, Columnar, and Vector DBs
• Support system scalability, performance, and maintainability using clean architecture principles
• Contribute to agent orchestration logic, tool integrations, and interaction flows
• Work closely with the Solutions Architect to align implementation with the architecture vision
• Write tests, maintain documentation, and participate in code reviews