Jobs

We are seeking a highly skilled Machine Learning (ML) Tech Lead with a strong background in Large Language Models (LLMs) and AWS Cloud services. The ideal candidate will oversee the development and deployment of cutting-edge AI solutions while managing a team of 5-10 engineers. This leadership role demands hands-on technical expertise, strategic planning, and team management capabilities to deliver innovative products at scale.
 

Responsibilities:

• Leadership & Management
  -Lead and manage a team of 5-10 engineers, providing mentorship and fostering a collaborative team environment;
  -Drive the roadmap for machine learning projects aligned with business goals;
  -Coordinate cross-functional efforts with product, data, and engineering teams to ensure seamless delivery.
• Machine Learning & LLM Expertise
  -Design, develop, and fine-tune LLMs and other machine learning models to solve business problems;
  -Evaluate and implement state-of-the-art LLM techniques for NLP tasks such as text generation, summarization, and entity extraction;
  -Stay ahead of advancements in LLMs and apply emerging technologies;
  -Expertise in multiple main fields of ML: NLP, Computer Vision, RL, deep learning and classical ML.
• AWS Cloud Expertise
  -Architect and manage scalable ML solutions using AWS services (e.g., SageMaker, Lambda, Bedrock, S3, ECS, ECR, etc.);
  -Optimize models and data pipelines for performance, scalability, and cost-efficiency in AWS;
  -Ensure best practices in security, monitoring, and compliance within the cloud infrastructure.
• Technical Execution
  -Oversee the entire ML lifecycle, from research and experimentation to production and maintenance;
  -Implement MLOps and LLMOps practices to streamline model deployment and CI/CD workflows;
  -Debug, troubleshoot, and optimize production ML models for performance.
• Team Development & Communication
  -Conduct regular code reviews and ensure engineering standards are upheld;
  -Facilitate professional growth and learning for the team through continuous feedback and guidance;
  -Communicate progress, challenges, and solutions to stakeholders and senior leadership.
  
  Qualifications:
• Proven experience with LLMs and NLP frameworks (e.g., Hugging Face, OpenAI, or Anthropic models);
• Strong expertise in AWS Cloud Services;
• Strong experience in ML/AI, including at least 2 years in a leadership role;
• Hands-on experience with Python, TensorFlow/PyTorch, and model optimization;
• Familiarity with MLOps tools and best practices;
• Excellent problem-solving and decision-making abilities;
• Strong communication skills and the ability to lead cross-functional teams;
• Passion for mentoring and developing engineers.

We are looking for a passionate Senior Machine Learning Engineer eager to drive innovation and excellence in our machine learning processes. We strongly prefer those well-versed in the financial sector.

Join us to be part of a forward-thinking team that values innovation, growth, and collaboration.

Responsibilities:

• Cross-Functional Collaboration: Work closely with cross-functional teams to implement and support cutting-edge ML models
• Data-Driven Research: Conduct research and experiments with diverse datasets to optimize ML model performance
• Workflow Management: Handle complex data workflows with ease and efficiency
• Expert Knowledge Development: Deepen your expertise in your chosen field, staying ahead of industry trends
• Process Improvement: Enhance end-to-end development processes and pipelines, including data collection tools and production deployment, with a focus on CI/CD
• Continuous Learning: Stay at the forefront of technological advancements and trends in data science and AI
• Mentorship: Support and mentor junior team members, fostering a culture of knowledge sharing and growth
   

Requirements:

• Experience: 5+ years in machine learning and MLOps, with a track record of delivering impactful AI/ML solutions
• Research & Experimentation: Proven ability to conduct research and experiments to enhance AI/ML model performance
• Project Lifecycle Management: Skilled in handling all project stages, from business analysis to product implementation
• Python Proficiency: Expert in Python for crafting robust and high-quality code; experience with version control systems (preferably Git)
• Database Expertise: Proficient in working with databases and SQL (e.g., MS SQL, Snowflake)
• AWS Mastery: Hands-on experience with AWS cloud platform (e.g., SageMaker, Step Functions, Glue, Lambda, SQS, ECS, S3, ECR, CloudWatch, IAM, MWAA)
• Container & Orchestration Tools: Deep understanding of containers and orchestration tools (e.g., Docker, CI/CD)
• Remote Work Savvy: Comfortable working remotely and effectively communicating with cross-functional teams
• Financial Acumen: Strong foundational understanding of financial markets
• Language Proficiency: English proficiency at B2 level or higher is mandatory

Company overview:
Graphio.ai auto-generates playbooks from real team behavior, tracks execution drift, guides teams back on track, giving COOs and operating teams visibility to act before revenue slips.

Graphio.ai is built for COOs and operational leaders who need visibility into where plans break and why. We analyze metadata from tools like Slack, Teams, Jira, Asana, Salesforce, HubSpot, Zendesk, and Google Workspace. We do not access or analyze content, only behavioral signals.

Using this data, Graphio.ai automatically generates live playbooks across critical operational areas, including sales execution, onboarding, handoffs, account transitions, customer delivery, implementation, support processes, and cross-functional escalations. Leaders can easily customize these playbooks to align with their goals. Graphio.ai continuously monitors how real execution compares to the plan. When teams drift or break from process, we surface risks early and send guidance to employees directly in Slack or Teams to help them get back on track.

Supported by dozens of senior leaders from Experian, Mastercard, Lattice, BambooHR, Altrata, Brex, SAP, JackHenry, FIS, Pfizer, Workday, and various SaaS, HR, payroll, ERP, and private equity-owned platforms, we are building the system that brings clarity and control to execution.

Position overview:
We are seeking a Senior Data Scientist to join our fully remote team and play a foundational role in building our data science capabilities. This position is ideal for a self-starter who thrives in startup environments. As one of the first hires in this area, you will organize processes, define objectives, and independently determine what needs to be done to advance our mission of delivering unbiased, data-driven employee assessments.

Key responsibilities:

• Build and lead the data science team from scratch, establishing processes, best practices, and a strong foundation for scalability.
• Independently identify priorities and define the roadmap for data science initiatives, with minimal direction.
• Analyze Business Data: Work with structured and unstructured HR-related datasets to extract actionable insights that impact workforce management decisions.
• Develop Predictive Models: Build models for employee turnover probability, churn rate, productivity trends, and other workforce-related KPIs.
• Share customer insights, develop key metrics, and explain testing results to both technical and non-technical stakeholders.
• Identify complex issues, simplify them, and collaborate with other teams to create scalable solutions for broader company challenges.
• Promote data-driven decision-making across the organization.
• Develop reusable frameworks for simulations, analysis methods, and reporting.
• Collaborate with the engineering team to enhance data collection for improved accuracy and quality.

Remote work requirements:

• Strong communication skills in English, both written and verbal.
• Proven ability to work effectively in a fully remote, distributed team environment.
• Self-motivated with excellent time management and organizational skills.

Qualifications:

• 5+ years of professional experience in a Data Science position.
• Proficiency in Python and experience with ML frameworks (Scikit-learn, Pandas, Matplotlib,TensorFlow, NLTK,  XGBoost, ect).
• Expirient in using Python for data analysis as well as development of production ready scalable solutions.
• Strong SQL and noSQL (MongoDB) expertise – must be able to write complex queries, optimize performance, and work with large datasets.
• Strong skills in data modeling, statistical analysis, and algorithm development.

Preferred qualifications:

• Experience in HRTech or workforce analytics.
• Expertise in developing AI models with biased, noizy data.

What we offer:

• Competitive salary and comprehensive benefits package.
• Work from anywhere with flexible hours and a supportive remote culture.
• Opportunities for professional development and career growth.
• The chance to be part of a groundbreaking team shaping the future of productivity AI.

Company cultural requirements:
At Graphio.ai, we embrace a high-performance, mission-driven culture with clear expectations:

• A professional corporate background on LinkedIn is required.
• The entire team takes synchronized vacations four times a year, ensuring better alignment and collaboration.
• Vacation time is only available after the company achieves stability.
• Team members can reside in Ukraine, but must be ready to relocate with their families to Europe or the USA upon the company’s request and legal ability to do so.
• A non-standard work schedule is part of the commitment, reflecting the demands of startup life.
• We are building something exceptional, which means full dedication and a willingness to tackle challenges that others find too complex.
• We are not for everyone - we need those who will consider our company as the step for their personal success. Preferably those who want to build their own companies one day and will learn with us how to do that better and faster

A final note:
If you’re ambitious, hungry for success, and just a little crazy, you might be who we need. But if you’re content with a quiet, predictable 9-to-5 life, feel free to move along.

Join us at Graphio.ai and take ownership of building and leading our data science function. If you’re ready to create something transformative, we’d love to hear from you!

upSWOT acquisition press release

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Deck
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Demo video
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We are seeking a highly skilled Machine Learning (ML) Tech Lead with a strong background in Large Language Models (LLMs) and AWS Cloud services. The ideal candidate will oversee the development and deployment of cutting-edge AI solutions while managing a team of 5-10 engineers. This leadership role demands hands-on technical expertise, strategic planning, and team management capabilities to deliver innovative products at scale.
 

Responsibilities:

• Leadership & Management
  -Lead and manage a team of 5-10 engineers, providing mentorship and fostering a collaborative team environment;
  -Drive the roadmap for machine learning projects aligned with business goals;
  -Coordinate cross-functional efforts with product, data, and engineering teams to ensure seamless delivery.
• Machine Learning & LLM Expertise
  -Design, develop, and fine-tune LLMs and other machine learning models to solve business problems;
  -Evaluate and implement state-of-the-art LLM techniques for NLP tasks such as text generation, summarization, and entity extraction;
  -Stay ahead of advancements in LLMs and apply emerging technologies;
  -Expertise in multiple main fields of ML: NLP, Computer Vision, RL, deep learning and classical ML.
• AWS Cloud Expertise
  -Architect and manage scalable ML solutions using AWS services (e.g., SageMaker, Lambda, Bedrock, S3, ECS, ECR, etc.);
  -Optimize models and data pipelines for performance, scalability, and cost-efficiency in AWS;
  -Ensure best practices in security, monitoring, and compliance within the cloud infrastructure.
• Technical Execution
  -Oversee the entire ML lifecycle, from research and experimentation to production and maintenance;
  -Implement MLOps and LLMOps practices to streamline model deployment and CI/CD workflows;
  -Debug, troubleshoot, and optimize production ML models for performance.
• Team Development & Communication
  -Conduct regular code reviews and ensure engineering standards are upheld;
  -Facilitate professional growth and learning for the team through continuous feedback and guidance;
  -Communicate progress, challenges, and solutions to stakeholders and senior leadership.
  
  Qualifications:
• Proven experience with LLMs and NLP frameworks (e.g., Hugging Face, OpenAI, or Anthropic models);
• Strong expertise in AWS Cloud Services;
• Strong experience in ML/AI, including at least 2 years in a leadership role;
• Hands-on experience with Python, TensorFlow/PyTorch, and model optimization;
• Familiarity with MLOps tools and best practices;
• Excellent problem-solving and decision-making abilities;
• Strong communication skills and the ability to lead cross-functional teams;
• Passion for mentoring and developing engineers.

About the Role:

As a Computer Vision Engineer, you will play a key role in our AI team, designing and building solutions that make legal collaboration seamless and accessible. You will work on a cutting-edge product that leverages computer vision and other advanced AI techniques to support the automotive industry. Our platform, SelfInspection, enables automated vehicle inspections. Users capture photos of a vehicle's exterior, interior, and tires, which are then analyzed by our AI and experts to generate detailed condition reports. The first version of the product is live, and we are actively developing its second iteration.

Responsibilities:

• Train, evaluate, and deploy computer vision models for tasks such as instance segmentation, object detection, classification, and tracking
• Improve and optimize existing computer vision models
• Prepare high-quality training datasets using annotated data provided by the annotation team
• Stay current with advancements in the computer vision field to ensure the use of efficient and modern approaches
• Collaborate with C-level stakeholders to define technical requirements and specifications for new features

Qualifications:

• Minimum of 5 years of hands-on experience in machine learning, computer vision, or a closely related field
• Proven experience in training, evaluating, and optimizing deep learning models for production environments
• Strong background in data collection, preprocessing, augmentation, and annotation workflows
• Bachelor's, Master’s, or Ph.D. degree in Computer Science, Electrical Engineering, Mathematics, or a related discipline (preferred but not required)

Skills:

• Hands-on experience with deep learning frameworks, particularly PyTorch and/or TensorFlow
• Deep understanding of convolutional neural networks (CNNs), transformers, and core computer vision tasks such as image classification, object detection, segmentation, and tracking
• Proficiency with scientific and image processing libraries such as NumPy, OpenCV, and scikit-learn
• Familiarity with model deployment techniques (e.g., ONNX, TensorRT, TorchScript, TensorFlow Lite) and performance optimization strategies
• Strong problem-solving skills and the ability to decompose complex vision tasks into modular components
• Excellent communication and collaboration skills across both technical and non-technical teams

Will be a Plus:

• Interest in prototyping and experimenting with new computer vision techniques
• Experience designing AI products from the ground up, with a solid understanding of AI system architecture

Our client is a leading SaaS company offering pricing optimization solutions for e-commerce businesses. Its advanced technology utilizes big data, machine learning, and AI to assist customers in optimizing their pricing strategies and maximizing their profits.

About the Role:
As a Data Scientist you’ll play a critical role in shaping and enhancing our AI-driven pricing platform.

Key Responsibilities:

• Develop and Optimize Advanced ML Models: Build, improve, and deploy machine learning and statistical models for forecasting demand, analyzing price elasticities, and recommending optimal pricing strategies.
• Lead End-to-End Data Science Projects: Own your projects fully, from conceptualization and experimentation through production deployment, monitoring, and iterative improvement.
• Innovate with Generative and Predictive AI Solutions: Leverage state-of-the-art generative and predictive modeling techniques to automate complex pricing scenarios and adapt to rapidly changing market dynamics.

Required Competence and Skills:

• A Master’s or PhD in Computer Science, Physics, Applied Mathematics or a related field, demonstrating a strong foundation in analytical thinking.
• At least 5 years of professional experience in end-to-end machine learning lifecycle (design, development, deployment, and monitoring).
• At least 5 years of professional experience with Python development, including OOP, writing production-grade code, testing, and optimization.
• At least 5 years of experience with data mining, statistical analysis, and effective data visualization techniques.
• Deep familiarity with modern ML/DL methods and frameworks (e.g., PyTorch, XGBoost, scikit-learn, statsmodels).
• Strong analytical skills combined with practical experience interpreting model outputs to drive business decisions.

Nice-to-Haves:

• Practical knowledge of SQL and experience with large-scale data systems like Hadoop or Spark.
• Familiarity with MLOps tools and practices (CI/CD, model monitoring, data version control).
• Experience in reinforcement learning and Monte-Carlo methods.
• A solid grasp of microeconomic principles, including supply and demand dynamics, price elasticity, as well as econometrics.
• Experience with cloud services and platforms, preferably AWS.

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.

Overview

We are seeking a highly skilled and experienced Senior/Lead Computer Vision Engineer specializing in Navigation to join our innovative R&D team. In this pivotal role, you will drive the development and deployment of state-of-the-art computer vision algorithms for autonomous navigation systems, contributing to our efforts in robotics, autonomous vehicles, drones, or similar fields. You will work cross-functionally with engineering, product, and research teams to deliver robust, real-time solutions that enable safe and intelligent navigation in dynamic environments.

Responsibilities

• Lead the design, development, and optimization of computer vision algorithms for localization, mapping, and navigation.
• Develop and implement algorithms for object detection, segmentation, SLAM, 3D scene reconstruction, visual odometry, and sensor fusion (using cameras, LiDAR, IMUs, etc.).
• Guide the integration of computer vision modules with navigation and control systems, ensuring seamless operation in real-world conditions.
• Collaborate with software, hardware, and product teams to define requirements and deliver scalable, robust navigation solutions.
• Stay current with advancements in deep learning, computer vision, and robotics, and introduce relevant state-of-the-art techniques into the product.
• Design and execute experiments to evaluate performance and robustness; analyze results and iterate on solutions.
• Prepare technical documentation, progress reports, and presentations for internal and external stakeholders.

Requirements

• 5+ years of experience in computer vision, preferably in navigation, robotics, or autonomous systems.
• Master’s or PhD in Computer Science, Robotics, Electrical Engineering, or related field.
• Strong proficiency in Python and/or C++.
• Hands-on experience with deep learning frameworks (e.g., PyTorch, TensorFlow) and classical computer vision libraries (e.g., OpenCV, PCL).
• Experience in deploying and optimizing models for single-board computers such as Raspberry Pi, Nvidia Jetson
• Proven track record of developing and deploying real-time vision algorithms for navigation tasks in challenging environments.
• Extensive knowledge of SLAM, visual odometry, sensor fusion, and related algorithms.
• Experience with ROS, embedded systems, and real-time software development is a plus.
• Excellent problem-solving skills, strong analytical mindset, and effective communication abilities.

Preferred Qualifications

• Knowledge of SLAM and related models.
• Familiarity with the MAVLink protocol and ArduPilot.
• Familiarity with edge computing or real-time GPU-based inference.
• Publications or contributions to the open-source community in vision or robotics.

RESPONSIBILITIES  

• Discover, envision and land Data Science, AI and Machine Learning opportunities alongside EPAM teams & clients  
• Lead cross-functional EPAM and/or EPAM clients` teams through the journey of understanding business challenges and defining solutions leveraging AI, Data Science, Machine Learning and MLOps  
• Work with clients to deliver AI Products which provide value to end-users  
• Participate and drive EPAM competencies development, work on new EPAM offerings in AI, Data Science, ML and MLE space, as well as work on refining existing offerings  
• Bring your creative engineering mind to deliver real-life practical applications of Machine Learning  
• Work closely with DevOps practice on infrastructure and release planning 
  
  
  QUALIFICATIONS  
• Consulting:  Experience in exploring the business problem and converging it to applied AI technical solutions; expertise in pre-sales, solution definition activities   
• Data Science:  3+ years of hands-on experience with core Data Science, as well as knowledge of one of the advanced Data Science and AI domains (Computer Vision, NLP, Advanced Analytics etc.)   
• Engineering:  Experience delivering applied AI from concept to production, familiarity, and experience with MLOps, Data, design of Data Analytics platforms, data engineering, and technical leadership.   
• Leadership:  Track record of delivering complex AI-empowered and/or AI-empowering programs to the clients in a leadership position. Experience managing and growing the team to scale up Data Science, AI &ML capability is a big plus  
• Excellent communication skills (active listening, writing and presentation), drive for problem solving and creative solutions, high EQ  
  
  NICE TO HAVE  
• One or more business domains expertise (e.g. CPG, Retail, Financial Services, Insurance, Healthcare/ Life Science)  
  
  TECHNOLOGIES  

• Python, Databricks, Azure ML, Big Data (Hadoop, Spark, Hive, etc.), AWS, Docker, Kubernetes, DB (Pl SQL, HQL, Mongo), Google (Vertex AI) or similar  

   

Project Description:

As a Data & Application Engineer for FP&A, you are responsible for the engineering team and the technology that the team owns. You will not only work as a coach for your team but also as a technical leader, ensuring that the right technical decisions are made when building our data and reporting product(s).
As a data and analytics team, we are responsible for building a cloud-based Data Platform for BHI Global Services and its stakeholders across brands. We aim to provide our end users from different Finance departments, e.g.., Risk, FPA, Tax, Order to Cash, the best possible platform for all of their Analytics, Reporting & Data needs.
Collaborating closely with a talented team of engineers and product managers, you'll lead the delivery of features that meet the evolving needs of our business on time. You will be responsible to conceptualize, design, build and maintain data services through data platforms for the assigned business units. Together, we'll tackle complex engineering challenges to ensure seamless operations at scale and in (near) real-time.
If you're passionate about owning the end-to-end solution delivery, thinking for future and driving innovation and thrive in a fast-paced environment, join us in shaping the future of the Data and Analytics team!
 

Responsibilities:

Strategy and Project Delivery
● Together with the business Subject Matter Experts and Product Manager, conceptualize, define, shape and deliver the roadmap to achieving the company priority and objectives
● Lead business requirement gathering sessions to translate into actionable delivery solutions backlog for the team to build
● Lead technical decisions in the process to achieve excellence and contribute to organizational goals.
● Lead the D&A teams in planning and scheduling the delivery process, including defining project scope, milestones, risk mitigation and timelines management including allocating tasks to team members and ensuring that the project stays on track.
● Have the full responsibility in ensuring successful delivery by the D&A teams to deliver new products on time, set up processes and operational plans from end to end, e.g., collecting user requirement, design, build & test solution and Ops Maintenance
● Technical leader with a strategic thinking for the team and the organization. Visionary who can deliver strategic projects and products for the organization.
● Own the data engineering processes, architecture across the teams
Technology, Craft & Delivery
● Experience in designing and architecting data engineering frameworks, dealing with high volume of data
● Experience in large scale data processing and workflow management
● Mastery in technology leadership
● Engineering delivery, quality and practices within own team
● Participating in defining, shaping and delivering the wider engineering strategic objectives
● Ability to get into the technical detail (where required) to provide technical coach, support and mentor the team
● Drive a culture of ownership and technical excellence, including reactive work such as incident escalations
● Learn new technologies and keep abreast of existing technologies to be able to share learnings and apply these to a variety of projects when needed
 

Mandatory Skills Description:

Role Qualifications and Requirements:
● Bachelor degree
● At least 5 years of experience leading and managing one or multiple teams of engineers in a fast-paced and complex environment to deliver complex projects or products on time and with demonstrable positive results.
● 7+ years' experience with data at scale, using Kafka, Spark, Hadoop/YARN, MySQL (CDC), Airflow, Snowflake, S3 and Kubernetes
● Solid working experience working with Data engineering platforms involving languages like PySpark, Python or other equivalent scripting languages
● Experience working with public cloud providers such as Snowflake, AWS
● Experience to work in a complex stakeholders' organizations
● A deep understanding of software or big data solution development in a team, and a track record of leading an engineering team in developing and shipping data products and solutions.
● Strong technical skills (Coding & System design) with ability to get hands-on with your team when needed
● Excellent communicator with strong stakeholder management experience, good commercial awareness and technical vision
● You have driven successful technical, business and people related initiatives that improved productivity, performance and quality
● You are a humble and thoughtful technology leader, you lead by example and gain your teammates' respect through actions, not the title
● Exceptional and demonstrable leadership capabilities in creating unified and motivated engineering teams

Gypsy is looking for a Senior Data Science — a seeker of patterns, a builder of meaning, and a navigator through metrics, models, and signals.

🧭 What makes you a great match

• 5+ years of experience working with large datasets and building complex models;
• Python experience: 3+ years. Use of libraries for analysis and modeling: pandas, numpy, scikit-learn, statsmodels;
• SQL experience: 3+ years. Working with relational databases: PostgreSQL, BigQuery;
• Tableau/Superset: 2+ years of experience. Visualization optimization for large datasets;
• Git: Confident user. Code and data version control, conflict resolution, pull requests;

• Experience in the iGaming environment.

   

📋 Your daily adventures

• Creating and validating hypotheses based on data;
• Using statistical methods to identify patterns;
• Building and optimizing predictive models (Machine Learning, regression, clustering);
• Analyzing changes in key metrics and identifying their causes;
• Developing logic for distinguishing VIP and regular players;
• Designing models for analyzing player activity and player retention;
• Continuously improving data collection, processing, and analysis workflows;
• Developing and maintaining Python scripts to automate processes;
• Ensuring data quality and troubleshooting processing errors.

🏆 Preferred Qualifications

• Experience with A/B testing tools;
• Experience with BigQuery or other analytical DWHs.

Benefits:

💸 Flexible payment options: choose the method that works best for you;

🧾 Tax assistance included: we handle part of your taxes and provide guidance on the local setup;

🎁 Financial perks: Bonuses for holidays, B-day, work milestones and more — just to show we care;

📈 Learn & grow: We cover courses and certifications — and offer real opportunities to grow your career with us;

🥐 Benefit Сafeteria: Choose what suits you — sports, language courses, therapy sessions, and more;

🎉 Stay connected: From team-building events to industry conferences — we bring people together online, offline, and on stage;

💻 Modern Equipment: We provide new laptops along with essential peripherals like monitors and headphones for a comfortable workflow;

🕘 Your schedule, your rules: Start your day at 9, 10, or even 11 — we care about results, not clock-ins.

About project:
isitetech is an innovative startup focused on transforming the oil and gas industry through advanced data solutions. Our core product is a powerful web application built on Google Application Engine and a complementary iPad app, designed to efficiently collect, analyze, and visualize data from oil facilities.

This platform empowers our clients to make informed, data-driven decisions, optimizing their operations and improving efficiency. We operate with a distributed, global team, with our head office in Dallas and development hubs in Ukraine (Kharkiv, Kyiv), Spain, and Poland. Our philosophy emphasizes efficiency and flexibility, with a focus on results-oriented work and communication primarily via Slack, rather than rigid daily calls.

Requirements:

- 5+ experience in applying data science and machine learning techniques
- Python programming using classic scientific stack (numpy, pandas, scipy, scikit-learn, pytorch, lightgbm, matplotlib or any other visualization library)
- Understanding of classic machine learning algorithms and theory (supervised/unsupervised learning techniques, metrics and visualizations for interpretation of model performance, time-series analysis, anomaly detections, recommendation models, hyperparameter optimization)

- NLP (NLP techniques, GenAI, LLM finetuning)

- Statistics and optimization basic understanding

- Data manipulation and cleaning skills (fill missing entries / filter dataframes / apply certain changes to columns)

- Prior experience with Python web frameworks would be great, but not critical (FastAPI, Flask or anything else)

- Dockerization technologies

- Cloud solutions (any of AWS, GCP, Azure)
- Understanding of prompt engineering or experience with building scripts or applications around LLMs
- Proficient with SQL (Postgres, Snowflake), NoSQL (ElasticSearch, Mongo(optional))
- Monitoring services

 Responsibilities:
- Work on time series forecasting problems with real, complex data. Implement features, interpret their importance, train models and incorporate them in the production pipeline.
- Work on LLM-based solutions, which use techniques like Contextual RAG (Retrieval Augmented Generation), LLM as Judge, semantic search, chatbot services, etc.

- Create anomaly detection models and clustering methods for non-stationary, “dirty”, semi-organized data
 

We are toogeza, a Ukrainian recruiting company that is focused on hiring talents and building teams for tech startups worldwide. People make a difference in the big game, we may help to find the right ones.

We are currently looking for a Game Mathematician for Spinlab.
Job Type: Full-Time

About the client:

We help slot gaming leaders unlock the potential of their data, enhancing business outcomes and strengthening their competitive edge in the market. We collect and process data using advanced methods and technologies to provide our clients with clear, actionable recommendations based on real metrics. SpinLab’s goal is not just to collect data but to help businesses use it for maximum efficiency and amplify their performance results.

 

About the Role:

We are looking for a mathematician with a proven record of creating slot games, who will join our team and help to build data-driven projects on game math optimization. You will have an opportunity to learn players’ behavior and shape the future vision of our products.

The main task:

• is to adapt the mathematics of existing games, not develop new ones;
• It is desirable to be interested in development in the direction of analytics and DS;
• Most of the time will be spent working with AB testing.

Responsibilities:

• Develop engaging game mathematics and mechanics in collaboration with Product Owners and Game Developers;
• Fine-tune game mathematics and mechanics to create the best possible product;
• Perform simulations of game math;
• Explore the most popular games from other providers;
• Provide competitive game math analysis to reveal valuable insights;
• Be involved in the game creation process from start to finish;
• Collaborate with development teams, provide game math specifications;
• Be a discussion sparring partner inside our team to help build better products

Requirements:

• University degree in mathematics / computer science / technology / engineering;
• At least 5 years commercial experience as a game mathematician (or similar position) in online gambling;
• An understanding of how different slot mechanics work;
• A high level of attention to detail: the ability to spot even small mistakes in your math models and troubleshoot them;
• Brilliant at solving abstract and highly complex math problems;
• Data-driven and analytical mindset in decision-making;
• Teamwork experience;
• English B2+

Will be a plus:

• Scripting skills in Python;
• Experience with Git (or other VCS);
• Motivated by challenges and stretch goals;
• Strong mathematical intuition, creativity and curiosity;
• Ability to look at games from players’ point of view;
• Self-organization, ability to prioritize tasks

Benefits:

• Interesting products and ability to shape them with your vision.
• Flexible schedule with remote mode.
• 21 working days of vacation.
• 25 sick leaves.
• Paid Ukrainian National Holidays.
• Medical insurance is provided after completing the probation period (3 months from the start date).
• Budget for education.
• Paid individual English classes.
• Technical equipment that meets the working needs.

About the Client:
We’re hiring on behalf of a fast-growing startup in the eCommerce & AI space. Their product helps Amazon and Shopify sellers optimize pricing and promotions using advanced machine learning and experimentation. The team works in a high-data, fast-paced environment and is looking for a Senior Data Scientist to lead critical R&D initiatives and shape the future of their data-driven product.
 

What You’ll Do:

• Design, build, and evaluate machine learning models for forecasting, price optimization, and recommendation systems.
• Work closely with Product and Engineering teams to turn raw data into insights and data products.
• Prototype and test new approaches, especially in Time Series Forecasting and multimodal ML.
• Lead and mentor a small data team (including Data Scientists, Analysts, and Engineers).
• Translate complex models into actionable insights and simple business language.
• Conduct user interviews and communicate findings to stakeholders.
• Take part in setting data science strategy, experimentation frameworks, and MLOps practices.
   

Must-Have:

• 5+ years of experience in Data Science or a related field.
• Strong SQL skills for data manipulation and extraction.
• Advanced Python skills — you write clean, modular, and reusable code.
• Deep understanding of scientific Python stack: NumPy, pandas, scikit-learn, plus Keras/TensorFlow or PyTorch.
• Solid mathematical background (ideally CS or applied mathematics).
• Experience with Time Series Forecasting models.
• 3+ years working with tabular and mixed (multimodal) data — e.g. structured data + text, audio, or images.
• Upper-intermediate or higher English for cross-team communication and client-facing research.
   

Nice-to-Have:

• Hands-on experience with Reinforcement Learning.
• Experience with A/B testing and statistical testing methodologies.
• Familiarity with MLOps practices (e.g. model versioning, pipelines, monitoring). 
   

What’s in It for You:

• Remote-first environment with flexible hours.
• Impactful role in a growing startup with global clients.
• Fast-paced, product-centric culture where ideas are heard and valued.
• Opportunity to shape the data science culture from the ground up.

WE ARE

SoftServe is a global digital solutions company, headquartered in Austin, Texas, and founded in 1993.

With 2,000+ active projects across the USA, Europe, APAC, and LATAM, we deliver meaningful outcomes through bold thinking and deep expertise. Our people create impactful solutions, drive innovation, and genuinely enjoy what they do.

The AI and Data Science Center of Excellence (CoE) is SoftServe’s premier AI/ML hub, primarily based in Europe. With 130+ experts—including data scientists, research analysts, MLOps engineers, ML and LLM architects—we cover the full AI lifecycle, from problem framing to deployment.

In 2024, we delivered 150+ AI projects, including over 100 focused on Generative AI, combining scale with measurable impact.

We are a 2024 NVIDIA Service Delivery Partner and maintain strong collaborations with Google Cloud, Amazon, and Microsoft, ensuring our teams always work with cutting-edge tools and technologies.

We also lead Gen AI Lab—our internal innovation engine focused on applied research and cross-functional collaboration in Generative AI.

In 2025, a key area of innovation is Agentic AI — where we design and deploy autonomous, collaborative agent systems capable of addressing complex, real-world challenges at scale for our clients and internally.

IF YOU ARE

• A holder of a Ph.D. or master’s degree in Computer Science or a related field
• Experienced in Generative AI and natural language processing (NLP), working with large-scale transformer models and generative pre-trained LLMs like GPT-4, Claude, and Gemini
• Knowledgeable about the latest advancements in diffusion models and other generative frameworks for text and image generation
• Adept at applying advanced deep learning techniques to practical use cases
• Well-versed in emerging trends and breakthroughs in machine learning, deep learning, and NLP, with a strong focus on their real-world applications
• Proficient in working with state-of-the-art pre-trained language models like GPT-4 and BERT, including fine-tuning for specialized tasks
• Aware of the software development lifecycle for AI projects and the operationalization of machine learning models
• Experienced in deploying AI solutions on major cloud platforms
• Hands-on with Python and deep learning frameworks such as TensorFlow or PyTorch
• Skilled in interpersonal communication, analytical reasoning, and complex problem-solving
• Capable of translating technical concepts into clear, concise insights that non-technical audiences can easily grasp
• Proficient in business communication in English at an upper-intermediate level

AND YOU WANT TO

• Work with the full stack of data analysis, deep learning, and machine learning model pipeline that includes deep analysis of customer data, modeling, and deployment in production
• Choose relevant computational tools for study, experiment, or trial research objectives
• Drive the development of innovative solutions for language generation, text synthesis, and creative content generation using the latest state-of-the-art techniques
• Develop and implement advanced Generative AI solutions such as intelligent assistants, Retrieval-Augmented Generation (RAG) systems, and other innovative applications
• Produce clear, concise, well-organized, and error-free computer programs with the appropriate technological stack
• Present results directly to stakeholders and gather business requirements
• Develop expertise in state-of-the-art Generative AI techniques and methodologies
• Grow your skill set within a dynamic and supportive environment
• Work with Big Data solutions and advanced data tools in cloud platforms
• Build and operationalize ML models, including data manipulation, experiment design, developing analysis plans, and generating insights
• Lead teams of data scientists and software engineers to successful project execution

TOGETHER WE WILL

• Be part of a team that's shaping the future of AI and data science through innovation and shared growth.
• Advance the frontier of Agentic AI by shaping intelligent multi-agent ecosystems that drive autonomy, scalability, and measurable business value.
• Have access to world-class training, cutting-edge research, and collaborate with top industry partners.
• Maintain a synergy of Data Scientists, DevOps team, and ML Engineers to build infrastructure, set up processes, productize machine learning pipelines, and integrate them into existing business environments
• Communicate with the world-leading companies from our logos portfolio
• Enjoy the opportunity to work with the latest modern tools and technologies on various projects
• Participate in international events and get certifications in cutting-edge technologies
• Have access to powerful educational and mentorship programs
• Revolutionize the software industry and drive innovation in adaptive self-learning technologies by leveraging multidisciplinary expertise

Overview:

We are looking for a senior data scientist with deep expertise in causal inference and Bayesian network modeling to help build advanced analytical capabilities. In this role, you will lead the evaluation and implementation of Bayesian tools, support business-driven use cases, and collaborate across internal teams and external partners to drive strategic insights and decision-making.

Key Responsibilities:

• Modeling Leadership: Design and implement Bayesian networks and causal inference models to support complex business questions and R&D projects.
• Platform Evaluation: Assess Bayesian modeling tools using structured evaluation frameworks; guide platform selection and implementation.
• Capability Building: Support planning and funding processes for horizontal analytical capabilities, including hiring plans, vendor engagement, and tool acquisition.
• Stakeholder Collaboration: Work closely with data science, engineering, product, and business teams to align modeling efforts with organizational goals.
• Communication & Enablement: Translate technical findings into actionable insights for technical and non-technical stakeholders. Prepare clear documentation and presentations to drive adoption and understanding.

Basic Qualifications:

• Advanced degree (Master’s or PhD) in Statistics, Computer Science, Data Science, or a related quantitative field.
• Hands-on experience with Bayesian networks and causal inference methodologies, including model structure learning, parameter tuning, and evaluation.
• Familiarity with industry-leading tools such as GeNIe, Netica, Hugin Expert, BayesiaLab, AgenaRisk, Bayes Server, TETRAD, Bayes Suites, or CausaLens.
• Proficiency with Python or R, and strong foundations in statistical programming.
• Strong communication and project management skills; ability to lead cross-functional workstreams.

Preferred Qualifications:

• Experience in healthcare, pharmaceuticals, or life sciences domains.
• Background in evaluating and deploying analytics platforms within enterprise environments.
• Track record of leading or mentoring data science teams.
• Ability to align complex modeling work with strategic business needs.