Jobs Data & Analytics

Client

Our client is a large international manufacturing company listed in the S&P 500 and operating within a complex, multi‑site global environment. As part of a Data Strategy Development initiative, the organization is working to define a clear, pragmatic, and scalable data strategy aimed at improving decision‑making, reducing manual processes, strengthening data ownership, and laying a solid foundation for future analytics and digital transformation. The engagement is currently focused on strategy definition and is expected to progress into platform and analytics implementation phases.
 

Position overview

The Data Solutions Architect leads the definition of the future-state data and analytics architecture as part of the overall data strategy. The role is responsible for designing the end-to-end architectural blueprint, ensuring alignment between business objectives, governance requirements, and technology capabilities.

This position operates at a strategic and conceptual level, defining logical architecture, integration patterns, and platform standards centered on Microsoft Azure and Snowflake, without committing to physical implementation during the strategy phase.

Responsibilities

• Assess the current-state technology and data landscape across enterprise, manufacturing, logistics, and analytics systems
• Define the future-state data and analytics architecture aligned with business and governance objectives
• Design logical data integration and data flow models for a complex, multi-site environment
• Define target BI and analytics architecture supporting enterprise reporting and advanced analytics
• Establish data models, security principles, and platform standards for a scalable and governed data ecosystem
• Develop a phased data platform evolution roadmap with a focus on Azure and Snowflake
• Provide architectural inputs into the Data Governance Framework and operating model
• Contribute architecture sections to the Data Strategy Report
• Define logical data sourcing and integration approaches for enterprise systems without physical implementation commitments

Requirements

• Strong experience in enterprise data and analytics architecture
• Proven expertise with Microsoft Azure and Snowflake
• Experience designing future-state architectures in complex, global environments
• Solid understanding of data governance, security, and analytics enablement
• Ability to operate at strategy and blueprint level while grounding decisions in practical feasibility
• Experience working with senior stakeholders in high-visibility initiatives

Nice to have

• Experience with manufacturing, logistics, or industrial enterprise environments
• Familiarity with SAP ECC / SAP BW, SAP C4C, ERP and operational systems
• Experience with BI and analytics platforms such as Power BI, Qlik Sense, Alteryx
• Background in data strategy or large-scale transformation programs

N-iX is looking for Senior Salesforce Marketing Cloud Engineer to join the fast-growing team one our project! Our customer is the European online car market with over 30 million monthly users, with a market presence in 18 countries. As a Salesforce Marketing Cloud Engineer, you will play a pivotal role in shaping the future of online car markets and enhancing the user experience for millions of car buyers and sellers. This role ensures day-to-day platform reliability, supports scalable customer engagement across multiple brands and markets, and contributes to the continuous development of our omni-channel automation capabilities.
The position combines technical execution, platform administration, data-driven troubleshooting, and close collaboration with CRM Managers, Product, Data, and Engineering teams. collaboration with CRM Managers, Product, Data, and Engineering teams.

Responsibilities:

• Platform Management: Execute and support marketing activities across Email Studio, Content Builder, Contact Builder, Automation Studio, and Journey Builder. Monitor platform health, journey execution, error rates, and data synchronization issues across channels (Email, Push, In-App, WhatsApp).
  • Data Orchestration: Manage and optimize data flows between Salesforce CRM (Sales/Service Cloud) and SFMC. Ensure data integrity and seamless synchronization across platforms. Diagnose and resolve issues related to journey failures, template rendering, deliverability, and API-driven components.
  • Solution Design: Build and maintain complex automated journeys and multi-step automations for various use cases. Provide day-to-day troubleshooting and solution guidance on segmentation, templates, content automation, journeys, and campaign execution.
  • Optimization: Review existing CloudPages and content blocks, proposing and implementing technical optimizations to improve performance or scalability, using AMPscript or SSJS and SQL for data segmentation and personalization. Assist in monitoring and improving data synchronization reliability across systems. Maintain and evolve template libraries, modular email components, and reusable assets.
  • Stakeholder Collaboration: Engage directly with business stakeholders to gather requirements, provide updates, and translate business needs into technical solutions. Administer users, roles, permissions, and configuration settings across tools. Enable CRM Managers, Campaign Managers, and Data Delivery teams through training, documentation, and hands-on onboarding to platform capabilities.
  • Knowledge Sharing: Be an active voice in team meetings - don’t just listen but challenge the status quo and share your expertise with the team. Contribute to automation initiatives enabling highly personalized, real-time, multi-channel communication journeys for B2C and B2B audiences.
   

Requirements: 

• Minimum 4 years of experience in marketing automation, CRM engineering, or MarTech operations.
• Hands-on experience within the Salesforce ecosystem.
• Solid experience within the Salesforce Marketing Cloud.
• A deep understanding of how data moves, syncs, and updates between CRM and SFMC.
• Proven expertise in both stakeholder management and project management.
• Hands-on working with REST APIs, data integration patterns, SSJS, AmpScript and SQL.
• Experience building, troubleshooting, and optimizing multi-step journeys or workflows.
• Strong analytical skills, comfort with dashboards, and campaign performance metrics.
• Familiarity with GDPR and data privacy principles related to CRM operations.
• English level - at least Upper-Intermediate, both spoken and written.

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

We’re looking for a proactive Data Scientist to join our growing team and help us redefine the future of eSports betting! You will develop and implement advanced models for esports betting, focusing on games such as Dota 2, League of Legends, etc. Oversee the entire model development lifecycle, including design, testing, and performance optimization.

What you’ll be doing:

• Develop and implement betting models using Python and Golang.
• Design and optimize mathematical models, including statistical models, classical machine learning techniques, and neural networks.
• Analyze the performance and impact of models, ensuring operational efficiency.
• Prototype and assess models to evaluate their effectiveness and user acceptance.
• Integrate models with existing systems and optimize performance.
• Collaborate with backend and frontend teams for seamless implementation and decision-making.
• Conduct in-depth statistical analysis and apply machine learning methods to enhance forecasting accuracy.

What we’re looking for:

• 3+ years of commercial experience with Python.
• Strong knowledge of statistics and practical experience with ML techniques.
• Proven expertise in mathematical modeling, including statistical methods, classical ML approaches, and neural networks.
• Strong data processing skills (validation, parsing, visualization).
• Understanding business logic of decisions and analytical thinking ability.
• Excellent communication skills and the ability to work in a team.
• Ability to assess the business value of tasks.
• English – Intermediate level.
• Nice to have: Higher education in computer science, mathematics, statistics, or a related discipline is a plus.

• Nice to have: Experience in the betting industry or related fields is an advantage.

   

What We Offer:

• Your wellbeing and a comfortable work environment are our top priorities:
• Flexible schedule & work format (office/hybrid): work where and when you feel most productive.
• 20 paid + 15 unpaid vacation days: take time off whenever you need to reset.
• An extra day off on your birthday — celebrate it your way!
• Medical insurance: take care of your health with extended coverage (available in Ukraine only).
• 22 sick days: 8 days without a doctor’s note (for sick leave or mental health), 10 with a note, plus 4 Personal Days per year — for personal matters, when it is necessary.
• Gifts and bonuses for life’s big moments: weddings, new babies, kindergarten support (available in Ukraine only).

Who We Are:

We’re DATA.BET — a product-driven IT company transforming the world of sports, esports, and virtual betting with our innovative sportsbook solution. 

Since 2017, we’ve been building tech that directly shapes the industry.
Our team of experts blends hands-on experience with AI technologies to deliver cutting-edge solutions that set new standards in betting.

About the Role

As a Senior Business Systems Analyst, you will play a key role in defining requirements and shaping the AI-driven future of Pearl’s Analytics and Experimentation platforms. You will work closely with Analytics, Machine Learning, and cross-functional Engineering teams to ensure our data and experimentation platforms are high-quality, AI-enabled, and lean.

This role is critical for driving the adoption of AI tooling, improving experiment workflows, supporting data platform enhancements, and ensuring data quality and regulatory compliance across systems.

 

What You’ll Do

AI Analytics Tooling (30%)

• Evaluate and pilot AI tools (e.g., ADI Bot, Databricks Agents) and design future enhancements.
• Define adoption metrics and collect user feedback.
• Create enablement materials and promote AI-driven workflow improvements.

Experimentation Platform Support & Optimization (25%)

• Support A/B testing frameworks and validate experiment configurations.
• Partner with Analytics, Engineering, and Machine Learning to improve experimentation workflows.
• Recommend tooling enhancements and streamline experiment lifecycle processes.

Data Platform Analysis & Metadata Governance (25%)

• Evaluate and design enhancements for current data platform offerings (Google Analytics, Internal Data, PostHog).
• Promote adoption of OpenMetadata and improve metadata coverage.
• Design and track AI readiness through documentation scores, dataset lineage, and other readiness metrics.
• Work with platform teams to enforce data standards and governance.

Data Quality Support (10%)

• Review data quality audits and communicate results across teams.
• Maintain data health scorecards and identify recurring issues.
• Collaborate with engineering teams to prioritize and resolve data quality issues.

Regulatory Compliance & Requirements Management (10%)

• Translate regulatory obligations (GDPR, CCPA, etc.) into system requirements.
• Work with Legal, Security, and Data Engineering on compliance controls.
• Document workflows, maintain audit artifacts, and support periodic reviews.
  
   

What We’re Looking For

• 5+ years of experience in Business Systems Analysis and/or database analysis, including end-to-end business requirements identification and gathering.
• Ability to query, analyze, and troubleshoot datasets using SQL.
• Experience with agile software development.
• Hands-on use of AI tools within analytics or data engineering workflows.
• Basic experience with a modern software development language (Python, C#, Java, TypeScript/JavaScript).
• Strong knowledge of Experimentation methodology/platforms
• Understanding of documentation standards, lineage, data quality audits, and governance processes.
• Сonceptual thinking, analytical, and problem-solving skills.
• Strong communication skills with proven experience collaborating cross-functionally with engineers, product managers, and analytics teams.
• Desire and ability to lead, advocate for features, and make data-driven recommendations.
• Ability to thrive in a fast-paced environment and meet aggressive deadlines while managing multiple projects.
• English proficiency (at least strong upper-intermediate level).

About The Role

In this role, you will drive tangible business impact by delivering high-quality insights and recommendations, leveraging your ability to combine strategic thinking and problem-solving with detailed analysis. You will collaborate closely with Product Managers and cross-functional teams, uncovering business insights, devising optimization strategies, and validating them through experiments.
 

What You’ll Do

• Collaborate with Product and Analytics leadership to structure and perform deep-dive analyses, delivering actionable insights into key business areas
• Analyze large datasets (internal and external) to identify growth and optimization opportunities, translating findings into business recommendations and effectively communicating them to stakeholders, including senior leadership.
• Perform Descriptive and Prescriptive Analytics using ML models, A/B and MAB experimentation, while building reports to understand business trends
• Track and implement business metrics to drive continuous improvement and support data-driven decision-making
• Act as a lead analyst, gaining deep insights into the JustAnswer audience to inform strategic decisions.
   

What We’re Looking For

• 5+ years of experience (preferably within e-commerce or customer experience products).
• Strong proficiency in Excel for analysis and business modeling
• Experience with SQL with a strong ability to write complex queries to extract information and arrive at an answer
• Experience with Google Analytics, BigQuery, PowerBI, Python/R, and ML is desirable.
• Expertise in Descriptive and Inferential Statistical Analysis, A/B testing, or Hypothesis Testing, with proven ability to analyze results.
• Excellent communication skills, with confidence in interacting across all levels of management and diverse business functions.
• English proficiency (at least strong upper-intermediate level).

About The Role

As a Senior/Lead Software Engineer in our Machine Learning department, you will take ownership of high-impact initiatives that drive product quality, monetization, and user experience. You’ll apply your expertise in Python, data analysis, and modern AI tools to build, deploy, and optimize ML solutions end-to-end. This is a hands-on technical role that blends data science and engineering to deliver measurable business outcomes. You’ll collaborate closely with cross-functional stakeholders and contribute to evolving areas such as LLMs, Generative AI, and ML infrastructure. The role offers exposure to complex data challenges and the opportunity to shape Pearl’s AI-driven capabilities.

What You’ll Do

• Build, train, and deploy ML models that improve product performance and monetization.
• Collaborate with data, product, and engineering teams across multiple internal initiatives.
• Design and implement data pipelines for extraction, transformation, and analysis.
• Apply statistical and machine learning techniques to real-world business problems.
• Work on projects involving LLMs and Generative AI technologies.
• Analyze large datasets to identify trends, insights, and optimization opportunities.
• Integrate ML models into production systems and monitor their performance.
• Communicate findings and recommendations clearly to technical and non-technical stakeholders.
• Experiment with emerging AI tools and methodologies to enhance existing workflows.
• Ensure data quality, reliability, and scalability in all deliverables.

What We’re Looking For

• 3+ years of hands-on experience in ML Engineering or Data Science.
• 5-6+ years total experience in software or data engineering.
• Strong programming skills in Python.
• Proficiency in SQL for data querying and analysis.
• Solid understanding of data processing, analysis, and visualization.
• Experience with LLMs / Generative AI tools (e.g., OpenAI, Copilot, Cursor).
• Ability to build and deploy ML models end-to-end.
• Strong analytical and problem-solving mindset.
• Experience with .NET for integration work
• Upper-intermediate English proficiency (B2 or higher).
• Familiarity with Databricks or similar data platforms (nice-to-have).
• Exposure to AWS or other cloud-based ML environments (nice-to-have).

Why Join Us?

• High-Impact Data — Work with vast datasets generated by over a million daily visits, uncovering valuable insights.
• Collaborative Analytics Team — Join a team of 30+ skilled analysts who actively share knowledge and support each other.
• Cutting-Edge Tools & Techniques — Get hands-on experience with ML, Bayesian methods, and LLMs to solve real business challenges.
• Data-Driven Culture — Thrive in an environment where data informs every decision and drives continuous improvement.

About the Role

As a Business Systems Analyst (BSA) for CRM, you will play a pivotal role in shaping how we communicate with customers at scale. You’ll act as the primary business owner for Touchpoint, our in-house marketing automation platform, translating business communication and engagement needs into scalable, data-driven CRM capabilities.

This role sits at the intersection of Marketing, Product, Engineering, Analytics, and Branding. You’ll partner closely with stakeholders to define CRM strategy, prioritize initiatives, and deliver high-impact messaging experiences across email and SMS. You will balance day-to-day operational needs with longer-term platform evolution — including AI-driven personalization, experimentation, and cost efficiency.


 

What You’ll Do

CRM Platform Ownership & Requirements Management (20%)

• Act as the primary business owner for Touchpoint, our in-house marketing automation platform.
• Partner with stakeholders across Product, Marketing, Branding, Finance, and Engineering to gather, refine, and document detailed functional and non-functional requirements.
• Ensure CRM capabilities evolve to support AI-driven segmentation, personalization, and retention use cases.
• Balance operational needs with longer-term platform scalability and growth initiatives.

Support for Emerging Businesses & New Use Cases (20%)

• Support CRM communication requirements for emerging businesses (e.g., Fount), including onboarding flows, lifecycle messaging, and experimentation.
• Help define repeatable CRM patterns that can be reused as new businesses launch.

CRM Experimentation, Optimization & Cost Efficiency (30%)

• Partner with CRM and Branding teams to define, execute, and analyze A/B tests aimed at improving engagement, retention, and customer satisfaction.
• Continuously optimize email and SMS workflows to reduce messaging costs while maintaining or improving business performance (e.g. retention).
• Use data and experimentation results to inform prioritization and roadmap decisions.

Vendor & Third-Party Coordination (5%)

• Act as the liaison with third-party messaging providers (e.g., Twilio).
• Coordinate feature requests, issue resolution, and roadmap dependencies with external partners.
• Support vendor performance reviews and cost optimization initiatives.

Planning, Prioritization & Delivery Management (25%)

• Collaborate with stakeholders to define, negotiate, and prioritize quarterly OKRs for the CRM development team.
• Translate business priorities into clear, actionable backlog items.
• Identify and resolve implementation blockers.
• Run cross-functional status meetings and communicate progress, risks, and outcomes to stakeholders.

What We’re Looking For

• 3+ years of experience in Business Systems Analysis and/or Business Analysis and/or Product Manager including end-to-end business requirements identification and gathering.
• Hands-on experience with CRM or marketing automation platforms and designing/supporting email and SMS workflows.
• Familiarity with lifecycle messaging, segmentation, and experimentation concepts.
• Strong communication skills and ability to translate between business users and technical teams.
• Proven ability to prioritize, make trade-offs, and drive decisions across multiple stakeholders.
• Experience in cross-functional coordination with Product, Engineering, UX, QA, Marketing, and external partners.
• Ability to work with AI-enabled CRM features, translating business needs into clear requirements.
• Data analysis skills, including SQL querying, Excel, and BI tools (e.g., Power BI), are a plus.
• English proficiency (at least strong upper-intermediate level).

As a Business Analyst, your core mission is to bridge business needs and technical solutions, ensuring software aligns with requirements.

What you will do:

• Collaborate with stakeholders to gather, analyze, validate, and document business requirements;
• Evaluate and mitigate risks associated with project requirements;
• Advocate for stakeholders' needs and priorities;
• Work closely with developers, QA team, and other BAs to ensure that software solutions meet quality standards and functional requirements.

Requirements:

• 3+ years of experience in Business Analysis;
• At least intermediate proficiency in both written and spoken English;
• Proficiency in eliciting and documenting business requirements;
• Ability to break down large and complex tasks into simple and easy ones, build the correct connections between them, and the ability to describe the algorithm for developers;
• Ability to model and prototype interfaces in Figma or others;
• Experience in integrating with third-party systems (API, files exchange);
• Experience using Jira, Trello, browser Developer tools, Figma, Postman, Slack, any raster graphic editor;
• Confident understanding of various file formats (CSV, JSON, XML);
• Basic knowledge of SQL;
• Ability to model processes and data on UML diagrams;
• High level of mastery of Google Workspace or Microsoft Office tools.
   

Soft skills

• Strong analytical mindset with exceptional attention to detail and problem-solving abilities;
• Self-reliance and autonomy in work;
• Effective interpersonal and cross-cultural communication;
• Results-oriented with a focus on achieving goals and delivering outcomes.

What would be a plus but not required:

• Experience in CRM/Fintech.

About Orgmeter

OrgMeter is deal-flow, tracking and reporting software to help take your merchant cash advance business to the next level

Company website:

orgmeter.com 

OpenMinds is seeking a skilled and curious Data Engineer who’s excited to design and build data systems that power meaningful insight. You’ll work closely with a passionate team of behavioral scientists and ML engineers on creating a robust data infrastructure that supports everything from large-scale narrative tracking to sentiment analysis.
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In the position you will:
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— Take ownership of our multi-terabyte data infrastructure, from data ingestion and orchestration to transformation, storage, and lifecycle management

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— Collaborate with data scientists, analysts, ML engineers, and domain experts to develop impactful data solutions

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— Optimize and troubleshoot data infrastructure to ensure high performance, cost-efficiency, scalability, and resilience

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— Stay up-to-date with trends in data engineering and apply modern tools and practices

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— Define and implement best practices for data processing, storage, and governance

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— Translate complex requirements into efficient data workflows that support threat detection and response
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We are a perfect match if you have:
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— 5+ years of hands-on experience as a Data Engineer, with a proven track record of leading complex data projects from design to production

— Experience with Google Cloud Platform (GCP) and its data ecosystem (BigQuery, GCS, Pub/Sub, Cloud Run, Cloud Functions, Looker)

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— Highly skilled in SQL and Python for advanced data processing, pipeline development, and optimization

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— Deep understanding of software engineering best practices, including SOLID, error handling, observability, performance tuning, and modular architecture

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— Ability to write, test and deploy production-ready code

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— Extensive experience in database design, data modeling, and modern data warehousing, including ETL orchestration using Airflow or equivalent
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— Open-headed, capable of coming up with creative solutions and adapting to frequently changing circumstances and technological advances
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— Experience in DevOps (docker/k8s, IaaC, CI/CD) and MLOps
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— Fluent in English with excellent communication and cross-functional collaboration skills

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We offer:
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— Professional development within a multidisciplinary team with backgrounds in academia, tech, and defence sector.

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— Competitive market salary with room for performance-based progression.

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— Work in a fast-growing company with proprietary AI technologies, solving the most complex problems in the domains of information resilience and national security.

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— Participation in Tier-1 international industry conferences, events, and closed briefings.

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— Flexible work arrangements — adjustable hours, location, and hybrid/remote options.

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— A work culture that values focus, speed, experimentation, strategic thinking, and elegance in the proposed solutions.

Data Science UA is a service company with strong data science and AI expertise. Our journey began in 2016 with the organization of the first Data Science UA conference, setting the foundation for our growth. Over the past 9 years, we have diligently fostered one of the largest Data Science & AI communities in Europe.

About the role:
We are looking for a Computer Vision / Machine Learning Engineer to develop offline CV models for industrial visual inspection.

Your main task will be to design, train, and evaluate models on inspection data in order to:

• Improve discrimination between good vs. defect samples
• Provide insights into key defect categories (e.g., terminal electrode irregularities, surface chipping)
• Significantly reduce false-positive rates, optimizing for either precision, or recall
• Prepare the solution for future deployment, scaling, and maintenance
•  

Key Responsibilities:
Data Analysis & Preparation
- Conduct dataset audits, including class balance checks and sample quality reviews
- Identify low-frequency defect classes and outliers
- Design and implement augmentation strategies for rare defects and edge cases
Model Development & Evaluation
- Train deep-learning models on inspection images for defect detection
- Use modern computer vision / deep learning frameworks (e.g., PyTorch, TensorFlow)
- Evaluate models using confusion matrices, ROC curves, precision–recall curves, F1 scores and other relevant metrics
- Analyze false positives/false negatives and propose thresholds or model improvements
Reporting & Communication
- Prepare clear offline performance reports and model evaluation summaries
- Explain classifier decisions, limitations, and reliability in simple, non-technical language when needed
- Provide recommendations for scalable deployment in later phases (e.g., edge / on-prem inference, integration patterns)

Candidate Requirements:
Must-have:
- 1-2 years of hands-on experience with computer vision and deep learning (classification, detection, or segmentation)
- Strong proficiency in Python and at least one major DL framework (PyTorch or TensorFlow/Keras)
- Solid understanding of:

• Image preprocessing and augmentation techniques
• Classification metrics: accuracy, precision, recall, F1, confusion matrix, ROC, PR curves
• Handling imbalanced datasets and low-frequency classes

- Experience training and evaluating offline models on real production or near-production datasets
- Ability to structure and document experiments, compare baselines, and justify design decisions
- Strong analytical and problem-solving skills; attention to detail in data quality and labelling
- Good communication skills in English (written and spoken) to interact with internal and client stakeholders

Nice-to-have:
- Experience with industrial / manufacturing computer vision (AOI, quality inspection, defect detection, etc.)
- Familiarity with ML Ops/deployment concepts (ONNX, TensorRT, Docker, REST APIs, edge devices)
- Experience working with time-critical or high-throughput inspection systems
- Background in electronics, semiconductors, or similar domains is an advantage
- Experience preparing client-facing reports and presenting technical results to non-ML audiences

We offer:
- Free English classes with a native speaker and external courses compensation;
- PE support by professional accountants;
- 40 days of PTO;
- Medical insurance;
- Team-building events, conferences, meetups, and other activities;
- There are many other benefits you’ll find out at the interview.

Who we are  

MINT is the leader in Advertising Resource Management (ARM) software, driving marketing transformation in the age of agentic AI. At the core of our innovation is an open enterprise platform that deploys autonomous AI agents to augment human teams across the marketing and advertising value chain, connecting marketing performance with enterprise growth and real business impact. 

Thanks to a diverse team of over 300 professionals worldwide, we integrate technology, data, and agentic intelligence to redefine how global brands and agencies plan, execute, and optimize their advertising investments. 

With the recent acquisitions of technology leaders Redmill Solutions and info³, MINT has further expanded its unified ecosystem, completing the long-awaited connection of media planning, buying, and execution within one intelligent environment. 

The Role 

We’re looking for a Data Science Associate to support the development of a cutting-edge agentic AI suite for full cycle media operations, from media planning, activation to financial reconciliation. Your job will focus on designing, developing and deploying end-to-end data initiatives - from data ingestion to data presentation, from proof of concept to production. In this role, you'll have the opportunity to shape product direction and technical development.  

This is a consultancy engagement, not an employment contract. The selected consultant will work independently, bringing their specialized knowledge and experience to our projects. 

What you'll be doing  

• Contribute to the design, development, and deployment of data science solutions, from exploration to production 
• Work closely with product, engineering and solution consultants’ teams to translate business challenges into scalable data products 
• Develop, evaluate, and deploy machine learning models and data pipelines for real-world applications 
• Explore and integrate new technologies such as LLMs, MCP/A2 and AI agents to enhance our products 
• Explore building a standalone agentic workforce for media operations  
• Ensure data quality and integrity across multiple sources and processing stages 
• Communicate findings and insights clearly to technical and non-technical stakeholders 
• Assist in identifying and implementing SOTA and emerging AI/ML techniques  
• Contribute to team-wide technical decisions, planning, and long-term strategy 

This role will be a great fit if you have:  

• 1+ years of experience in data science with a solid foundation in statistics and machine learning 
• Proficiency in Python (and its core data/ML libraries) and SQL 
• Hands-on experience with ETL processes, large datasets (1M+ rows), and data cleaning and validation 
• Knowledge of frameworks like LangChain, Langraph 
• Ability to design and customize AI agents using RAG and similar techniques 
• Familiarity with AWS or another major cloud platform 
• Experience with time-series forecasting, recommender systems, NLP, or optimization problems  
• Strong communication and presentation skills, with the ability to bridge technical and non-technical perspectives 
• Self-driven and comfortable handling tasks independently in a remote setup 

We would also appreciate: 

• Familiarity with Docker or Kubernetes, CI/CD pipelines, monitoring tools, and Git 
• Previous experience with setting up MCP/A2 integrations is desired but not required 
• Background or interest in the advertising or marketing technology space 

Interview Process 

Candidates can expect the following steps in our interview process: 

• HR Video Interview (30 minutes): A virtual interview with HR to provide an overview of the company and the role, as well as to gain insight into your experience and background. 
• Technical Interview with Tech team (1 hour): A virtual interview with the Data Science Team Lead and/or other Team members, focused on your technical expertise, past experience, and problem-solving approach. 
• Offer: after completing the interview process, successful candidates will receive an offer. 

MINT is committed to a diverse and inclusive workplace. MINT AI is an equal opportunity employer and does not discriminate on the basis of age, race, religion, color, national origin, gender, gender identity, gender expression, sexual orientation, immigration status, medical condition, protected veteran status, disability, genetic information, political views or activity, or other legally protected status.  

About Us
We are a fast-growing and leading company in the AI Voice space for the iGaming industry. We replace inefficient manual processes with scalable, reliable, and high-performance AI technology. Our solutions are already used by 20+ brands across 8+ geographies. We are well-funded, ambitious, and building a team of top professionals.

What we need
We’re hiring a Head of AI (hands-on leader) who will own the technical vision and execution of our voice agent systems end-to-end. We already have an AI engineer, but we need someone more senior who can set direction, raise the quality bar, and reliably deliver production results.

Mission of the role
A senior owner responsible for building and scaling AI voice agents with strong quality, low latency, and controlled costs — plus the infrastructure to ship agents quickly across projects.

Primary outcomes
AI Voice Agent Infrastructure

• Create a solid infrastructure for fast development, testing, deployment, and iteration of voice agents.
• Enable rapid creation of personalized agents for different projects/clients.

1. Call Transcript Evaluation System
   • Build a reliable system that evaluates calls using transcripts:
     • Summaries
     • Outcome + intent detection
     • Call classification (lead quality, objections, next steps, disposition)
     • QA / scoring rubric (automated + human review loop)
2. Chat Agents for Leads
   • Build AI chat agents that communicate with warm and hot leads, qualify them, and push toward conversion / handoff.

Responsibilities
Own architecture and delivery of production-grade AI voice agents.

• Design conversation flows for outbound promotional calls (prompting + guardrails + objection handling).
• Improve agent reliability and quality (edge cases, interruptions, silence, ambiguous user input).
• Lead TTS strategy: selecting models, voice quality, and custom voice creation (where appropriate).
• Optimize latency and cost across the entire pipeline.
• Implement tooling and best practices for:
  • versioning and rollbacks
  • QA and evaluation harnesses
  • monitoring/observability (latency, errors, outcomes, conversion metrics)
  • repeatable agent templates and reusable components
• Mentor and upskill the existing AI engineer and set engineering standards.

Requirements
We need someone generally proficient in creating and deploying AI voice agents, including:
Voice agents & prompting

• Strong prompt engineering skills
• Experience designing prompts and dialogue logic specifically for outbound agents (promo/sales calls, objections, lead qualification)
• Understanding of how real-time voice agents work end-to-end (ASR → LLM → TTS, streaming, turn-taking, barge-in)

Platforms knowledge (as proficiency requirement)

• Proficient with voice-agent platforms such as Vapi, Retell, and/or LiveKit(or equivalent)
  • Recruiter guidance: they don’t need all three, but should have strong experience in at least one and understand the general category well.

TTS & voice
Strong knowledge of TTS models and practical tradeoffs (quality vs latency vs cost)

• Experience creating or integrating custom voices (where allowed/ethical/consented)

Performance & deployment
Proven ability to optimize latency and cost

• Experience building infrastructure for fast agent development and deployment
• Experience with evaluation of calls using transcripts:
  • summaries
  • classification
  • structured outputs / scoring

Nice-to-have
Experience building an internal “agent factory” (templates + reusable components + deployment pipeline)

• Experience with multichannel systems (voice + chat + CRM/lead systems)
• Experience with compliance-oriented conversation design (disclosure rules, consent flows, logging policies), depending on market

What we offer
Fully remote work format and flexible working hours.

• Competitive salary pegged to USD.
• 24 days of paid vacation (sick leave, national, religious, and company holidays).
• A friendly communication culture and transparent processes.
• Dynamic work environment.
• Opportunities for professional development and career growth.
• No micromanagement — just trust, ownership, and freedom to experiment.

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.

PwC SDC Lviv, opened in 2018, is part of this global space. It is a place where technology is combined with team spirit, and ambitious ideas find their embodiment in real projects for Central and Eastern Europe.

What do we guarantee?

• Work format: Remote or in a comfortable office in Lviv - you choose.
• Development: Personal development plan, mentoring, English and Polish language courses.
• Stability: Official employment from day one, annual review of salary and career prospects.
• Corporate culture: Events that unite the team and a space where everyone can be themselves.

We are looking for a talented and experienced Cloud Engineer to join our growing team. As well as experience with cloud infrastructure, networking, and security, the Cloud Platform Engineer will be responsible for operating, monitoring, and maintaining our many Azure subscriptions and associated global applications. As a Cloud Platform Engineer with cloud architecture, you will work closely with other data professionals, software engineers, and business stakeholders to build, maintain and support efficient, scalable, and secure data pipelines. This role involves both engineering and operations, requiring comfort with project work and handling incident tickets as part of the team.

Responsibilities: 

• Design, build and maintain Azure based infrastructure with Terraform modules (IaaS and PaaS resources) as part of new projects or updates needed to production environments;
• Troubleshoot IaaS and PaaS issues raised via SNow incident and meet ticket closure SLA’s;
• Documentation and knowledge sharing: create and maintain environment diagrams, playbooks, runbooks, and best practice documents;
• Communicate with internal business partners including guidance on application design.

Qualifications:

• 2+ years of experience with Azure core services: Resource Manager, Virtual Machines/Scale Sets, Storage (Blob/Files), Networking (VNets, NSGs, Load Balancer, App Gateway, DNS, Private Link);
• 2+ year of experience in Windows or Linux administration, with strong problem-solving abilities;
• 2+ years of experience with Azure Kubernetes Service;
• 2+ years of experience with Terraform;
• Ability to work independently and initiate tasks without supervision and utilize strong interpersonal and organizational skills;
• Excellent problem-solving and analytical skills.

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

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

Cosmolot is a Ukrainian product IT company that creates and develops an online digital entertainment platform. We build technology-driven solutions with a strong focus on security, transparency, and user comfort.

As a Marketing Analyst, you will analyze marketing activity data across channels to evaluate campaign effectiveness, identify trends, and support business growth.

Requirements

• 2+ years of experience as a Marketing Analyst or in a similar role
• Strong practical knowledge of SQL (CTEs, window functions) and Excel
• Practical experience with BI tools (Power BI or similar)
• Ability to work with large datasets and collect, organize, and analyze large volumes of data
• Strong analytical thinking and attention to detail
• Strong communication and collaboration skills, with the ability to clearly present insights to business stakeholders

Your Responsibilities

• Analyze marketing-related data (marketing channels and campaigns, conversion funnels, and cohorts to support business decision-making
• Collect and prepare data from multiple sources for analysis and reporting
• Build and maintain reports and dashboards 
• Perform ad-hoc and exploratory analysis based on business requests
• Identify trends, patterns, and key drivers behind changes in marketing metrics
• Present analytical insights and findings to stakeholders

Nice to Have

• Experience in gaming and traffic or other product verticals
• Experience with Google Analytics

What We Offer

• Work in a strong team of professionals and genuinely supportive people
• Opportunities for professional growth and development
• Flexible working hours
• Medical insurance
• Sports expense compensation
• Psychological support
• Free language classes (English, Spanish, and German)
• 18 working days of paid vacation, paid sick leave, and sick days
• Regular team buildings and corporate events
• All necessary equipment for comfortable work