Вакансии Data Scientist / Machine learning Engineer

Pwrteams are seeking a Senior Data Engineer to join the TUI Musement Data Science & Analytics Team. As a Data & ML Engineer, you will be providing support to the rest of Data profiles in TUI Musement building the tooling used on analytical and operational Data and ML/AI Products helping them at the task of delivering value to the business, and managing the platform used by all Data and ML/AI products on the Data area.

Responsibilities:

• Develop and maintain cutting-edge Data and ML/AI solutions for TUI Musement that meet our Service Level Agreements (SLAs) and fit within our budget.
• Build and optimize Data and ML/AI tools to empower your fellow data professionals, helping them unlock the full potential of our platform.
• Design and manage ETL pipelines and workflows using technologies like SQL and AWS Big Data services, ensuring that data flows seamlessly from source to insight.
• Create robust Machine Learning pipelines that handle the lifecycle of ML models from development to deployment, monitoring, and optimization.
• Implement and manage APIs for model inference, supporting Data Scientists in deploying their solutions at scale.
• Monitor and enhance ML Data products, fine-tuning them for performance, accuracy, and scalability.
• Lead efforts to automate and optimize internal processes – whether it’s reducing manual work, improving data delivery, or re-designing infrastructure for greater efficiency.
• Collaborate with your team in an agile environment, following operational and control procedures to deliver top-tier results.
• Contribute to the design and modeling of a scalable Enterprise Data Platform within the cloud (AWS), ensuring that our data architecture remains future-proof.

Qualifications:

• Proficient in Python, with a commitment to writing clean, maintainable, and testable code.
• Experience with API frameworks like FastAPI, Flask, or Django.
• Demonstrated expertise in Data and ML pipelines, with hands-on experience in CI/CD frameworks.
• Comfortable building containerized solutions with Docker and using orchestration tools like Airflow.
• Proficient in working with both SQL and NoSQL databases: Our current stack includes technologies like Snowflake and DynamoDB, among others.
• A strong understanding of data transformation, metadata management, and workflow orchestration.
• Familiarity with Machine Learning frameworks and libraries is highly valued.
• Experience with AWS cloud services and stream-processing systems like Apache Spark, Apache Flink, or Kinesis is a plus.
• You have an analytical mindset and a passion for continuous learning, embracing challenges as opportunities.
• Fluent in English, you’re able to communicate both technical details and big-picture concepts with ease, whether you’re speaking to senior stakeholders or peers in the technical team.
• You’re passionate about data, machine learning, and finding solutions to complex challenges, but you also thrive in a collaborative environment.
• You see data not just as numbers but as the foundation for meaningful change, and you’re excited about the opportunity to help revolutionize the travel experience.

Anadea’s ML/DL team is rapidly expanding, and we’re looking for a Senior Deep Learning Engineer to play a pivotal role in shaping our AI projects. This position is ideal for someone with a proven track record of delivering AI solutions across multiple business domains, who thrives in a fast-paced environment and enjoys both hands-on development and technical mentorship.
As a Senior Engineer, you will collaborate closely with clients and internal teams to define requirements, architect cutting-edge solutions, and oversee the end-to-end delivery of AI projects – whether it’s LLM fine-tuning, computer vision pipelines, or the next big AI breakthrough. In addition to contributing code and designing systems, you’ll have the opportunity to share expertise, guide junior team members, and push our AI capabilities to the next level.

Who We Are Looking For:

• Must have:
  • Proven experience leading and delivering AI projects end-to-end, from concept through deployment.
  • Proficiency in Python programming, Pytorch or Tensorflow.
  • Strong understanding of ML/DL principles and fundamentals.
  • Proven experience with either CV or NLP tasks and architectures.
  • Strong communication and stakeholder management skills – able to align technical decisions with business goals and articulate value to clients.
• Nice to have:
  • Expertise in model optimization (e.g., quantization, distillation) or additional domain knowledge (NLP, CV, etc.).
  • Background in AI Agents, training multi-modal models for downstream tasks, building RAG applications..
  • Experience with MLOps, cloud deployment (AWS/Azure/GCP), or scalable AI infrastructure.
  • Publicity and thought leadership – conference participation, research, or community contributions.
  • Leadership experience or mentoring background – coaching, mentoring, recruiting, and performance management.

Materialise is looking for a highly motivated researcher to work in an environment full of innovative technology and surrounded by people passionate about their work. As a Research Engineer, you will have the opportunity to support the development of a new generation of medical image processing algorithms.

What you will do:

• Discuss project requirements with key stakeholders.
• Analyze requirements to come up with a creative solution to solve the problem.
• Conduct research and data analysis.
• Implement, train, and optimize algorithms for patient-specific planning.
• Validate algorithm performance, document project progress, and report the results to stakeholders.
• Work with development teams to deploy algorithms.
• Stay up to date on the latest trends in medical image processing.

Your profile:

• Applicants should have a Master’s degree in engineering (biomedical, mathematical, electrical, computer sciences) or its equivalent;
• You are passionate about innovation in medical applications and strongly interested in state-of-the-art technologies;
• You are an experienced Python programmer with knowledge of Tensorflow, PyTorch, or ONNX;
• You are result-oriented and a team player, driven to contribute to the success of our products by collaborating with colleagues from around the world;
• You are a born problem solver with strong analytical skills. You adapt easily to change and can work independently with a proactive yet critical mindset;
• In addition, you’re also fluent in English, both written and verbal;
• Familiarity with medical terminology is a plus.

We are on a mission to revolutionize professional services through the seamless integration of human expertise and artificial intelligence. Guided by our core values - Data-driven, Humble, Courageous, Innovative, and Lean - we aim to optimize every aspect of our business and customer interactions. This role will lead transformative change and make a meaningful impact on our organization and the industry as we become a leading AI company in the $5 trillion dollar professional services space.

What You’ll Do:

As the Head of AI Operations, you will be a dedicated bold, AI champion driving the adoption, optimization, and strategic evolution of AI across all internal teams at JustAnswer. To meet our ambitious AI aspirations, we need a full-time leader with a clear mandate to accelerate AI's impact. Thie role will lead strategic programs, reimagine organizational practices, manage cross-functional efforts, and ensure alignment with our company’s mission and values.

Key Responsibilities:

• AI Strategy and Program Leadership: Develop and implement a comprehensive AI strategy aligned with organizational goals. Lead cross-departmental AI efforts, ensuring cohesive execution and measurable outcomes.
• AI Tool Assessment and Optimization: Conduct end-to-end evaluations of AI tools in use across the organization to identify opportunities for optimization. Provide actionable insights on AI spending and the value derived, enabling data-driven investment decisions.
• Behavioral Change and Alignment: Drive organizational behavior change to foster a culture of AI integration and continuous learning. Align disparate teams to work collaboratively, breaking silos and building synergy.
• Build, Buy, or Borrow Recommendations: Assess AI tools and technologies to determine the most effective strategy for achieving organizational goals. Provide clear recommendations on whether to develop in-house solutions, purchase tools, or collaborate with external providers.
• Project Management and Execution: Oversee the execution of AI-related efforts, managing timelines, resources, and risks with precision. Regularly communicate progress, milestones, and results to stakeholders across the company.
• Champion JustAnswer Values: Embed our core values of being Data-driven, Humble, Courageous, Innovative, and Lean into all AI-related efforts. Foster a positive and inclusive work culture that drives employee engagement and empowerment.

What We’re Looking For:

• Leadership Experience: Proven track record in leading complex, organization-wide programs, ideally related to AI, technology, or digital transformation.
• AI Knowledge: Solid understanding of AI technologies, trends, and best practices in applying AI to drive business impact.
• Strategic Thinking: Ability to define long-term strategic goals while managing day-to-day execution.
• Organizational Influence: Exceptional communication and influencing skills to inspire change and align diverse teams.
• Data-Driven Approach: Analytical mindset with a focus on leveraging data for decision-making and optimization.
• Project Management Skills: Strong planning, execution, and prioritization skills to drive results effectively.
• Alignment with Values: Demonstrated commitment to fostering a work environment that aligns with JustAnswer’s values and culture.

Desired Outcomes in the First 120-days:

• Deliver at least three high-impact, AI-powered "quick wins" across different departments.
• Complete an organization-wide audit of all AI tools and technologies, providing an assessment of their effectiveness and alignment with goals.
• Assessment of all AI tools across the organization reporting current adoption rates, costs, and performance.
• Provide a detailed analysis of AI-related expenditures and their ROI.
• Improving alignment and coordination among various AI training courses/workshops/materials.
• Deliver a self-service hub/AI University.
• Launch programs to embed AI adoption into daily workflows, with measurable cultural shifts evident by the 6-month mark.
• Provide strategic recommendations on what AI tools to buy, build, or borrow for the various needs across the organization.
• Deliver a comprehensive AI operational strategy including metrics of success (e.g. adoptions rates, ROI, etc.)
• Organize an AI Virtual Summit or similar event to share and celebrate learnings and successes internally.
• Lead the process on the IMUA awards program (Bold with AI).

Our client is a leading technology company revolutionizing how brands and agencies make marketing decisions. Their Marketing Platform empowers marketers to plan and execute cross-channel, programmatic media campaigns using real-time market research, proprietary audience data, advanced analytics, and integrations with over 150 partners, including Facebook, Instagram, Pinterest, Snapchat, and Twitter. Operating globally, the client is now exploring opportunities to integrate AI into their products and services to enhance user experience and operational efficiency.

Project Description:

The client is actively pursuing two AI-driven initiatives:

1. Audience Creation Mechanism: A chat-like system where users provide keywords, and the system recommends audiences using AI-driven tools such as OpenAI;
2. Chatbot for Campaign Insights and Recommendations: An exploratory project focusing on leveraging LLMs (Large Language Models) and RAG (Retrieval Augmented Generation) solutions. The chatbot will allow users to ask questions about their campaigns, receive data-driven insights, and get optimization recommendations. This initiative uses low-code tools like Dify and advanced prompt engineering.

The new hire will primarily focus on the second initiative, helping design and build a robust chat solution based on business requirements.

What You'll Do:

• Develop and implement a chatbot solution for campaign insights and optimization recommendations;
• Collaborate with the client to experiment and identify the best AI-driven solutions;
• Design and build LLM and RAG solutions to meet the project’s requirements;
• Conduct research and provide recommendations on alternative technologies to tools like Dify;
• Work closely with the client to refine and iterate on solutions based on user feedback;
• Optimize system performance and scalability for production deployment;
• Perform prompt engineering to enhance AI interactions and outputs;
• Ensure seamless integration of the chatbot with the existing Marketing Platform;
• Document project progress, key decisions, and technical designs for stakeholders.

Job Requirements:

• 3+ years of experience in AI-driven development or similar roles;
• Expertise in Python, LangChain, LangGraph, and TypeScript;
• Hands-on experience designing and implementing LLM and RAG solutions;
• Strong problem-solving skills and the ability to work independently with minimal direction;
• Familiarity with tools like Dify or similar low-code AI platforms;
• Excellent communication skills for client interaction and collaboration;
• Proficiency in experimenting and defining innovative technical solutions;
• Level of English - from Intermediate (spoken/written).

Про клієнта та проєкт:

Країна: Німеччина-Іспанія.
Клієнт працює у сфері альтернативної енергетики, розробляє продукти для менеджменту альтернативних джерел енергії, чим сприяє зменшенню рівня забрудненості атмосфери.
Проєкт – програмне забезпечення для моніторингу та аналізу роботи вітряних та сонячних електростанцій. Окрім моніторингу, він також об’єднує інструменти для фінансового, операційного та технічного обслуговування. Є можливість віддаленого моніторингу, де інформацію можна отримати в режимі реального часу.

Обов'язки на проєкті:

• Підтримка та покращення існуючих моделей машинного навчання;
• Навчання моделей із налаштуванням гіперпараметрів;- Використання Kubernetes;
• Робота з такими базами даних, як MongoDB, ClickHouse і PostgreSQL для зберігання та обробки;
• Співпраця з членами команди та іншими відділами для інтеграції рішень машинного навчання в існуючі робочі процеси.

Основні вимоги:

• 3+ роки комерційного досвіду на посаді Data Scientist;
• Відмінне знання Python, а також бібліотек Pandas, NumPy, Scikit-learn;
• Досвід аналізу та моделювання даних часових рядів;
• Знання алгоритмів машинного навчання (досвід роботи з методами кластеризації та алгоритмами бустингу (XGBoost, LightGBM, CatBoost), методами глибокого навчання та фреймворками TensorFlow або PyTorch;
• Досвід оптимізації моделей машинного навчання;
• Знання наступних баз даних: MongoDB, ClickHouse, PostgreSQL (або схожих);
• Досвід використання Git;
• Профільна ІТ освіта (Комп’ютерна інженерія, Комп’ютерні науки і суміжні з ними);
• Рівень англійської – Upper-intermediate;
• Особисті якості: клієнтоорієнтованість, комунікабельність, організованість, дисциплінованість, вміння працювати в команді.

Буде плюсом:

• Знання AutoML;
• Знання Kubeflow;
• Досвід роботи з хмарними сервісами (AWS, Azure) та інструментами контейнеризації (Docker);
• Досвід роботи у сфері відновлюваної енергетики.

We seek a skilled Computer Vision Engineer with expertise in PyTorch to develop AI solutions for real-time person detection and tracking on edge devices within the oil and gas production domain.
In this role, you will design and optimize computer vision models as a core component of a larger video processing pipeline, working closely with ML engineers responsible for the pipeline’s integration and performance.

Responsibilities:

• Develop and optimize computer vision algorithms in PyTorch for person detection, tracking, and anomaly detection in real-time applications.
• Utilize OpenCV for image processing tasks to enhance model performance and accuracy.
• Collaborate with ML engineers on pipeline integration, ensuring seamless interaction between CV models and video processing components.
• Continuously enhance model reliability, scalability, and resource efficiency on edge devices.

Key qualifications:

• MS/PhD in Computer Science, Electrical Engineering, or a related field.
• Proven experience with PyTorch in real-time computer vision model development and optimization for edge devices.
• Proficiency with OpenCV for image processing and computer vision tasks.

Must-have skills:

• Experience with C++.
• Experience with GStreamer, or NVIDIA DeepStream for collaborative work within video processing environments.

Nice-to-have skills:

• Familiarity with AI applications in the energy industry or similar fields.
• C++ proficiency.
• MS/PhD degree in Computer Science, Electrical Engineering, Machine Learning, or a related field.

We are seeking a talented and experienced Generative AI Developer to join our innovative team. The ideal candidate will have deep expertise in generative AI models, frameworks, and techniques, with the ability to develop cutting-edge solutions. This role requires a proven ability to work in cloud computing environments, deploying and managing machine learning models effectively.

Key Responsibilities:

• Design and implement generative AI models using advanced techniques and methodologies.
• Collaborate with cross-functional teams to establish project objectives, gather requirements, and deliver innovative AI-driven solutions.
• Optimize model performance through experimentation, hyperparameter tuning, and advanced optimization strategies.
• Stay current with developments in generative AI, deep learning, and related technologies, integrating the latest advancements into ongoing projects.
• Create and maintain comprehensive documentation of generative AI models, workflows, and results.
• Effectively communicate technical concepts and findings to both technical and non-technical audiences.
• Mentor team members, fostering collaboration and contributing to a positive work environment.

Qualifications:

• Bachelor’s degree in Computer Science, Artificial Intelligence, or a related field.
• Experience in generative AI development.
• Proficiency in programming languages such as Python, Java, or C++.
• Hands-on experience with machine learning frameworks like TensorFlow, PyTorch, or scikit-learn.
• Proven experience working with cloud computing platforms, especially Google Cloud Platform (GCP).
• Strong communication and problem-solving abilities.
• Capability to work independently as well as collaboratively within a team.

Must-Have Skills:

• Programming Expertise: Python, Java, or C++
• Machine Learning Frameworks: TensorFlow, PyTorch, scikit-learn
• Cloud Platforms: Google Cloud Platform (GCP)
• Generative AI Techniques:
  • Natural Language Processing (NLP)
  • Generative Adversarial Networks (GANs)
  • Variational Autoencoders (VAEs)
  • Diffusion Models
• Data Visualization: Ability to present complex results effectively

Our customer is a photo-sharing platform focusing on on-device machine learning to organize photos by categorizing people, places, objects, and timestamps. The app is built on Flutter and powered by TensorFlow Lite, prioritizing privacy by processing data locally.

Responsibilities

• Integration and optimization of machine learning models to organize photos by detecting and categorizing people, places, objects, timestamps, and other metadata.
• Enhance ML stack by implementing face detection, object detection, scene recognition, image quality/type assessment, and location/mode/timestamp extraction.
• Optimize models for mobile performance, including caching and hardware acceleration.
• Seamlessly integrate ML models with the app’s local database (SQLite) and ensure efficient real-time processing.
• Develop processes and infrastructure to support the deployment of new models, including model training and testing frameworks.
• Collaborate with the project manager, founder, and CTO to refine requirements and coordinate technical decisions.
• Maintain and improve test documentation, including unit and integration tests for ML components.
• Ensure consistent performance, stability, and scalability of the ML features.

Requirements

• Technical Skills:
  • Proficiency in Flutter and TensorFlow Lite, with strong knowledge of on-device ML model deployment.
  • Familiarity with Python for model training and computer vision tasks.
  • Experience with hardware accelerators (GPU, NNAPI) for mobile ML model optimization.
  • Solid understanding of image classification, metadata extraction, and real-time processing.
  • Proficiency in optimizing and integrating ML models into mobile apps, with a focus on performance and scalability.
  • Knowledge of SQLite for local data storage integration.
• Nice to have:
  • Experience in image classification, metadata extraction, and/or hardware acceleration optimization.
• Soft Skills:
  • Ability to work independently as the sole developer on ML integration.
  • Excellent problem-solving skills and a collaborative approach to teamwork.
  • Strong communication skills to engage with C-level team members and stakeholders.
• English Level Advanced. The candidate should be able to clearly communicate and deliver his ideas.
• Work Schedule and Timezone
  • Flexible, with availability across time zones in Ukraine, Israel, and London. (8hr/day)