GlobalLogic

The Digital Health organization is a technology team focused on next-generation Digital Health capabilities which deliver on the mission and vision to deliver Insight Driven Care. This role will operate within the Digital Health Applications & Interoperability subgroup of the broader Digital Health team, focused on patient engagement, care coordination, AI, healthcare analytics & interoperability amongst other advanced technologies which enhance our product portfolio with new services, while improving clinical & patient experiences.

Requirements:

• Terraform

• AWS Platform: Working experience with AWS services - in particular serverless architectures (S3, RDS, Lambda, IAM, API Gateway, etc…) supporting API development in a microservices architecture

• Programming Languages: Python (strong programming skills)

• Data Formats: Experience with JSON, XML and other relevant data formats

• CI/CD Tools: experience setting up and managing CI/CD pipelines using GitLab CI, Jenkins, or similar tools

• Scripting and automation: experience in scripting language such as Python, PowerShell, etc…

• Monitoring and Logging: Familiarity with monitoring & logging tools like CloudWatch, ELK, Dynatrace, Prometheus, etc…

• Source Code Management: Expertise with git commands and associated VCS (Gitlab, Github, Gitea or similar) 

NICE TO HAVE:

• Strongly Preferred: Infrastructure as Code: Experience with Terraform and CloudFormation - Proven ability to write and manage Infrastructure as Code (IaC)
• Documentation: Experience with markdown and in particular Antora for creating technical documentation
• Experience working with Healthcare Data, including HL7v2, FHIR and DICOM
• FHIR and/or HL7 Certifications
• Building software classified as Software as a Medical Device (SaMD)
• Understanding of EHR technologies such as EPIC, Cerner, etc…
• Experience implementation enterprise grade cyber security & privacy by design into software products
• Experience working in Digital Health software
• Experience developing global applications
• Strong understanding of SDLC – Waterfall & Agile methodologies
• Software estimation
• Experience leading software development teams onshore and offshore

Job Responsibilities:

• Develops, documents, and configures systems specifications that conform to defined architecture standards, address business requirements, and processes in the cloud development & engineering.
• Involved in planning of system and development deployment as well as responsible for meeting compliance and security standards.
• API development using AWS services
• Experience with Infrastructure as Code (IaC)
• Actively identifies system functionality or performance deficiencies, executes changes to existing systems, and tests functionality of the system to correct deficiencies and maintain more effective data handling, data integrity, conversion, input/output requirements, and storage.
• May document testing and maintenance of system updates, modifications, and configurations.
• May act as a liaison with key technology vendor technologists or other business functions.
• Function Specific: Strategically design technology solutions that meets the needs and goals of the company and its customers/users.
• Leverages platform process expertise to assess if existing standard platform functionality will solve a business problem or customization solution would be required.
• Test the quality of a product and its ability to perform a task or solve a problems.
• Perform basic maintenance and performance optimization procedures in each of the primary operating systems.
• Ability to document detailed technical system specifications based on business system requirements
• Ensures system implementation compliance with global & local regulatory and security standards (i.e. HIPAA, SOCII, ISO27001, etc…)

The project focuses on the development of a software solution for cash collection and cash-in-transit operations. The system is designed to support daily activities of cash collectors and related operational teams, helping them perform their tasks efficiently, securely, and in a controlled manner.

The software covers key operational workflows such as route execution, task tracking, status reporting, and interaction with centralized back-office systems. It aims to improve operational transparency, accuracy of data, and overall process efficiency while meeting high requirements for reliability and security.

The project involves collaboration between development, QA, DevOps, and product roles and is built as a long-term solution that evolves based on operational needs, regulatory requirements, and scalability demands.

Requirements:

• 0–1 year of experience in technical writing, documentation, or related fields (including academic, internship, or personal projects)
• Strong written communication skills with the ability to explain complex topics in a clear and structured way
• Good analytical skills and attention to detail
• Basic understanding of software development concepts and terminology
• Ability to learn new technologies and domains quickly
• Proactive attitude and willingness to improve writing and technical skills
• Good time-management and prioritization skills
• Ability to work collaboratively with engineers, QA, and product stakeholders
• At least upper-intermediate level of English (written and spoken)
   

Job responsibilities:

• Assisting in creating and maintaining technical documentation
• Editing, structuring, and improving existing documentation for clarity and consistency
• Working with engineers and other stakeholders to gather information and clarify technical details
• Preparing user guides, internal documentation, and basic technical specifications
• Ensuring documentation follows defined templates, style guides, and standards
• Supporting documentation updates related to new features, changes, or releases
• Organizing documentation repositories and maintaining version consistency
• Participating in sprint activities and documentation-related planning
• Learning best practices in technical writing and documentation management
   

The project focuses on the development of a software solution for cash collection and cash-in-transit operations. The system is designed to support daily activities of cash collectors and related operational teams, helping them perform their tasks efficiently, securely, and in a controlled manner.

The software covers key operational workflows such as route execution, task tracking, status reporting, and interaction with centralized back-office systems. It aims to improve operational transparency, accuracy of data, and overall process efficiency while meeting high requirements for reliability and security.

The project involves collaboration between development, QA, DevOps, and product roles and is built as a long-term solution that evolves based on operational needs, regulatory requirements, and scalability demands.

Requirements:

• 0–1 year of experience in technical writing, documentation, or related fields (including academic, internship, or personal projects)
• Strong written communication skills with the ability to explain complex topics in a clear and structured way
• Good analytical skills and attention to detail
• Basic understanding of software development concepts and terminology
• Ability to learn new technologies and domains quickly
• Proactive attitude and willingness to improve writing and technical skills
• Good time-management and prioritization skills
• Ability to work collaboratively with engineers, QA, and product stakeholders
• At least upper-intermediate level of English (written and spoken)
   

Job responsibilities:

• Assisting in creating and maintaining technical documentation
• Editing, structuring, and improving existing documentation for clarity and consistency
• Working with engineers and other stakeholders to gather information and clarify technical details
• Preparing user guides, internal documentation, and basic technical specifications
• Ensuring documentation follows defined templates, style guides, and standards
• Supporting documentation updates related to new features, changes, or releases
• Organizing documentation repositories and maintaining version consistency
• Participating in sprint activities and documentation-related planning
• Learning best practices in technical writing and documentation management
   

The project focuses on the development of a software solution for cash collection and cash-in-transit operations. The system is designed to support daily activities of cash collectors and related operational teams, helping them perform their tasks efficiently, securely, and in a controlled manner.

The software covers key operational workflows such as route execution, task tracking, status reporting, and interaction with centralized back-office systems. It aims to improve operational transparency, accuracy of data, and overall process efficiency while meeting high requirements for reliability and security.

The project involves collaboration between development, QA, DevOps, and product roles and is built as a long-term solution that evolves based on operational needs, regulatory requirements, and scalability demands.

Requirements:

• 0–1 year of experience in technical writing, documentation, or related fields (including academic, internship, or personal projects)
• Strong written communication skills with the ability to explain complex topics in a clear and structured way
• Good analytical skills and attention to detail
• Basic understanding of software development concepts and terminology
• Ability to learn new technologies and domains quickly
• Proactive attitude and willingness to improve writing and technical skills
• Good time-management and prioritization skills
• Ability to work collaboratively with engineers, QA, and product stakeholders
• At least upper-intermediate level of English (written and spoken)
   

Job responsibilities:

• Assisting in creating and maintaining technical documentation
• Editing, structuring, and improving existing documentation for clarity and consistency
• Working with engineers and other stakeholders to gather information and clarify technical details
• Preparing user guides, internal documentation, and basic technical specifications
• Ensuring documentation follows defined templates, style guides, and standards
• Supporting documentation updates related to new features, changes, or releases
• Organizing documentation repositories and maintaining version consistency
• Participating in sprint activities and documentation-related planning
• Learning best practices in technical writing and documentation management
   

The project focuses on the development of a software solution for cash collection and cash-in-transit operations. The system is designed to support daily activities of cash collectors and related operational teams, helping them perform their tasks efficiently, securely, and in a controlled manner.

The software covers key operational workflows such as route execution, task tracking, status reporting, and interaction with centralized back-office systems. It aims to improve operational transparency, accuracy of data, and overall process efficiency while meeting high requirements for reliability and security.

The project involves collaboration between development, QA, DevOps, and product roles and is built as a long-term solution that evolves based on operational needs, regulatory requirements, and scalability demands.

Requirements:

• 0–1 year of experience in technical writing, documentation, or related fields (including academic, internship, or personal projects)
• Strong written communication skills with the ability to explain complex topics in a clear and structured way
• Good analytical skills and attention to detail
• Basic understanding of software development concepts and terminology
• Ability to learn new technologies and domains quickly
• Proactive attitude and willingness to improve writing and technical skills
• Good time-management and prioritization skills
• Ability to work collaboratively with engineers, QA, and product stakeholders
• At least upper-intermediate level of English (written and spoken)
   

Job responsibilities:

• Assisting in creating and maintaining technical documentation
• Editing, structuring, and improving existing documentation for clarity and consistency
• Working with engineers and other stakeholders to gather information and clarify technical details
• Preparing user guides, internal documentation, and basic technical specifications
• Ensuring documentation follows defined templates, style guides, and standards
• Supporting documentation updates related to new features, changes, or releases
• Organizing documentation repositories and maintaining version consistency
• Participating in sprint activities and documentation-related planning
• Learning best practices in technical writing and documentation management
   

Department/Project Description

Project aims to integrate a data-driven Markdown Optimization module and enhance Promotions Forecasting within clients' Price Index Management (PIM) to maximize gross profit, sell-through, and capture rate while maintaining price image. It will automate pricing recommendations based on inventory, generate accurate demand forecasts, and improve markdown/promotional strategies through user-friendly workflows.
GlobalLogic will develop the backend, data science, and UI/UX for this standalone application.

Job Responsibilities

• Build and maintain data pipelines adhering to the suggested enterprise architecture principles and guidelines
• Collect and manage data, converting it into useful information
• Work on the optimisation of partitioning and clustering for selected tables
• Implementation of data retention policies and removal of unused/dormand tables
• Work on the various optimisations
• Design, build, test, and maintain data management systems
• Work in sync with internal and external team members like data architects, data scientists, data analysts to handle all sorts of technical issue
• Deliver quality deliverables on time
• Translate complex functional requirements into technical solutions.

Job Description

• 5+ years of experience in Data Engineering
• Creation and maintenance of optimum data pipeline architecture for the ingestion and processing of data
• Creation of necessary infrastructure for ETL jobs from a wide range of data sources
• Experience in Snowflake cost optimisation, query pruning, and performance tuning
• Experience in Data storage technologies
• Upper Intermediate level of English
• Experience with GCP
• Good experience developing ETL pipeline using DBT
• Good Communication skills
• Willing to learn new technologies, share your ideas and assist other team members as needed
• Strong analytical and problem-solving skills; ability to define problems, collect data, establish facts, and draw conclusions

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

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

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

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

Essential

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

Desirable:

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

Bonus:

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

Job Responsibilities

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

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

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

Description

As the Data Architect, you will be the senior technical visionary for the Data Platform. You will be responsible for the high-level design of the entire solution, ensuring it is scalable, secure, and aligned with the company’s long-term strategic goals. Your decisions will form the technical foundation upon which the entire platform is built, from initial batch processing to future real-time streaming capabilities.

Requirements

– Cloud Architecture: Extensive experience designing and implementing large-scale data platforms on Microsoft Azure.
– Expert Technical Knowledge: Deep, expert-level understanding of the Azure data stack, including ADF, Databricks, ADLS, Synapse, and Purview.
– Data Concepts: Mastery of data warehousing, data modeling (star schemas), data lakes, and both batch and streaming architectural patterns.
– Strategic Thinking: Ability to align technical solutions with long-term business strategy.

Nice-to-Have Skills:

– Hands-on Coding Ability: Proficiency in Python/PySpark, allowing for the creation of architectural proofs-of-concept.
– DevOps & IaC Acumen: Deep understanding of CI/CD for data platforms and experience with Infrastructure as Code (Bicep/Terraform)/Experience with AzureDevOps for BigData services
– Azure Cost Management: Experience with FinOps and optimizing the cost of Azure data services.

Job responsibilities

– End-to-End Architecture Design: Design and document the complete, end-to-end data architecture, encompassing data ingestion, processing, storage, and analytics serving layers.
– Technology Selection & Strategy: Make strategic decisions on the use of Azure services (ADF, Databricks, Synapse, Event Hubs) to meet both immediate MVP needs and future scalability requirements.
– Define Standards & Best Practices: Establish data modeling standards, development best practices, and governance policies for the engineering team to follow.
– Technical Leadership: Provide expert technical guidance and mentorship to the data engineers and BI developers, helping them solve the most complex technical challenges.
– Stakeholder Communication: Clearly articulate the architectural vision, benefits, and trade-offs to technical teams, project managers, and senior business leaders.

What we offer

Culture of caring. At GlobalLogic, we prioritize a culture of caring. Across every region and department, at every level, we consistently put people first. From day one, you’ll experience an inclusive culture of acceptance and belonging, where you’ll have the chance to build meaningful connections with collaborative teammates, supportive managers, and compassionate leaders. 

Learning and development. We are committed to your continuous learning and development. You’ll learn and grow daily in an environment with many opportunities to try new things, sharpen your skills, and advance your career at GlobalLogic. With our Career Navigator tool as just one example, GlobalLogic offers a rich array of programs, training curricula, and hands-on opportunities to grow personally and professionally.

Interesting & meaningful work. GlobalLogic is known for engineering impact for and with clients around the world. As part of our team, you’ll have the chance to work on projects that matter. Each is a unique opportunity to engage your curiosity and creative problem-solving skills as you help clients reimagine what’s possible and bring new solutions to market. In the process, you’ll have the privilege of working on some of the most cutting-edge and impactful solutions shaping the world today.

Balance and flexibility. We believe in the importance of balance and flexibility. With many functional career areas, roles, and work arrangements, you can explore ways of achieving the perfect balance between your work and life. Your life extends beyond the office, and we always do our best to help you integrate and balance the best of work and life, having fun along the way!

High-trust organization. We are a high-trust organization where integrity is key. By joining GlobalLogic, you’re placing your trust in a safe, reliable, and ethical global company. Integrity and trust are a cornerstone of our value proposition to our employees and clients. You will find truthfulness, candor, and integrity in everything we do.

Description

As the Data Architect, you will be the senior technical visionary for the Data Platform. You will be responsible for the high-level design of the entire solution, ensuring it is scalable, secure, and aligned with the company’s long-term strategic goals. Your decisions will form the technical foundation upon which the entire platform is built, from initial batch processing to future real-time streaming capabilities.

Requirements

– Cloud Architecture: Extensive experience designing and implementing large-scale data platforms on Microsoft Azure.
– Expert Technical Knowledge: Deep, expert-level understanding of the Azure data stack, including ADF, Databricks, ADLS, Synapse, and Purview.
– Data Concepts: Mastery of data warehousing, data modeling (star schemas), data lakes, and both batch and streaming architectural patterns.
– Strategic Thinking: Ability to align technical solutions with long-term business strategy.

Nice-to-Have Skills:

– Hands-on Coding Ability: Proficiency in Python/PySpark, allowing for the creation of architectural proofs-of-concept.
– DevOps & IaC Acumen: Deep understanding of CI/CD for data platforms and experience with Infrastructure as Code (Bicep/Terraform)/Experience with AzureDevOps for BigData services
– Azure Cost Management: Experience with FinOps and optimizing the cost of Azure data services.

Job responsibilities

– End-to-End Architecture Design: Design and document the complete, end-to-end data architecture, encompassing data ingestion, processing, storage, and analytics serving layers.
– Technology Selection & Strategy: Make strategic decisions on the use of Azure services (ADF, Databricks, Synapse, Event Hubs) to meet both immediate MVP needs and future scalability requirements.
– Define Standards & Best Practices: Establish data modeling standards, development best practices, and governance policies for the engineering team to follow.
– Technical Leadership: Provide expert technical guidance and mentorship to the data engineers and BI developers, helping them solve the most complex technical challenges.
– Stakeholder Communication: Clearly articulate the architectural vision, benefits, and trade-offs to technical teams, project managers, and senior business leaders.

What we offer

Culture of caring. At GlobalLogic, we prioritize a culture of caring. Across every region and department, at every level, we consistently put people first. From day one, you’ll experience an inclusive culture of acceptance and belonging, where you’ll have the chance to build meaningful connections with collaborative teammates, supportive managers, and compassionate leaders. 

Learning and development. We are committed to your continuous learning and development. You’ll learn and grow daily in an environment with many opportunities to try new things, sharpen your skills, and advance your career at GlobalLogic. With our Career Navigator tool as just one example, GlobalLogic offers a rich array of programs, training curricula, and hands-on opportunities to grow personally and professionally.

Interesting & meaningful work. GlobalLogic is known for engineering impact for and with clients around the world. As part of our team, you’ll have the chance to work on projects that matter. Each is a unique opportunity to engage your curiosity and creative problem-solving skills as you help clients reimagine what’s possible and bring new solutions to market. In the process, you’ll have the privilege of working on some of the most cutting-edge and impactful solutions shaping the world today.

Balance and flexibility. We believe in the importance of balance and flexibility. With many functional career areas, roles, and work arrangements, you can explore ways of achieving the perfect balance between your work and life. Your life extends beyond the office, and we always do our best to help you integrate and balance the best of work and life, having fun along the way!

High-trust organization. We are a high-trust organization where integrity is key. By joining GlobalLogic, you’re placing your trust in a safe, reliable, and ethical global company. Integrity and trust are a cornerstone of our value proposition to our employees and clients. You will find truthfulness, candor, and integrity in everything we do.

GlobalLogic is a digital product engineering company. GlobalLogic integrates experience design and complex engineering to help our clients imagine what’s possible and accelerate their transition into tomorrow’s digital businesses. GlobalLogic is a Hitachi Group Company.

We are looking for a Middle Automation Mobile QA Engineer who is passionate about quality and automation and wants to make a real impact on product reliability and user experience.

As a Middle AQA, you will play a key role in ensuring high product quality throughout the development lifecycle, working closely with engineers and stakeholders.

• Requirements
  3+ years of experience in test engineering with a strong focus on automated testing.
• Hands-on experience testing mobile applications on both Android and iOS platforms.
• Practical experience with Appium or similar tools for mobile and browser-based test automation.
• Strong proficiency in JavaScript as the primary programming language.
• Experience working with Node.js for building and maintaining automation solutions.
• Proven experience in developing, maintaining, and scaling an automation framework for mobile or web applications.
• Experience with API testing, including tools such as Postman or other API automation frameworks.
• Hands-on experience with GIT and IDEs such as VS Code for automation development.

Job responsibilities

• Analyzing information needs and creating test data
• Write automated test scripts, both mobile and web-based
• Conferring with users and engineers
• Studying systems flow, data usage, and work processes
• Investigating and understanding problem areas
• Standing up and maintaining the test automation suite
• Review test cases and ensure that they align with requirements and have appropriate coverage.
• Design test cases and perform various types of testing such as functional, integration, and end-to-end, on various platforms such as mobile devices and web browsers.
• Support project teams in defining suitable quality objectives and acceptance criteria.
• Participate in code reviews and provide feedback and suggestions to increase quality.
• Fulfill all the duties of more junior test engineer team members when necessary.

Description

The project is delivered for a client who is one of the world’s leading providers of elevators, escalators, and moving walkways, as well as maintenance and modernization services. The company operates in over 100 countries and has production sites as well as research and development facilities in the US, Brazil, Europe, China, and India. In other words, their products are used by people around the world every day.

Requirements

• 3+ years of experience in a DevOps role
• 3+ years of experience implementing and maintaining Azure cloud infrastructure
• Experience with Infrastructure as Code (Terraform)
• Experience in software deployment and maintenance
• Experience building CI/CD pipelines
• Experience working with Kubernetes
• Understanding of networking concepts (routing, VPNs)
• Experience with Azure infrastructure services: IoT Hub, IoT Edge, Azure Key Vault, Microsoft Entra ID, Azure Monitor, Cosmos DB
• Solid understanding of networking: DNS, TCP/IP, routing, load balancers
• Strong team player
• Upper-intermediate level of English (spoken and written), with the ability to actively and openly communicate with an English-speaking client
   

Job responsibilities

• Design, implement, and maintain observability solutions using Prometheus, Loki, and Grafana, including actionable dashboards, alerting rules, and monitoring strategies for distributed systems
• Develop automation and operational tooling in Python, including integrations with cloud and internal APIs to streamline infrastructure and platform operations
• Operate and support event-driven architectures using Azure Event Hub and Azure Service Bus, ensuring reliability, scalability, and proper message processing patterns
• Monitor and optimize database and platform performance, including tuning Cosmos DB and PostgreSQL, as well as optimizing resource utilization in Kubernetes environments
• Design, maintain, and improve CI/CD pipelines in Azure DevOps, ensuring reliable build, test, and deployment processes
• Support the transition to GitOps practices using ArgoCD, improving deployment consistency and operational efficiency
• Scale and evolve the platform observability stack to support growing infrastructure and service complexity
• Collaborate with cloud development teams and consumers (e.g., mobile app and frontend teams)

We are developing a new tool to evaluate the effectiveness of retailer (e.g. large groceries chains) promotions. This solution will enhance promotion effectiveness forecasting, support choosing right way of introducing it (time, volume, type of discounts etc.) based on engeneering of historical data and introducing forecasting models.

The tool incorporates modern solution stack requirements, which will improve user experience, back-end robustness, and data processing efficiency. We anticipate these enhancements will meet stakeholder needs and contribute to business goals.

Job Description

• Expert in Tableau or Power BI with ability to build complex, interactive visualizations from scratch quickly and 6+ years of experience in the field
• Proven ability to compare and contrast BI tools (specifically the trade-offs between Tableau’s visual flexibility and Looker’s governed modeling).
• Expert-level SQL for data manipulation and performance tuning within cloud warehouses (Snowflake, BigQuery, or Databricks).
• Cross-Platform Literacy: Proven ability to compare and contrast BI tools (specifically the trade-offs between Tableau’s visual flexibility and Looker’s governed modeling).
• English proficiency 
• Good to have: Experience with open table format LakeHouse architectures (Delta Lake, Apache Iceberg, DuckLake)

As a Senior BI specialist, your main responsibilities will be:

• Maintaining the Business Intelligence repository and catalog. Working closely with data architects, data analysts, and a variety of end-users to ensure technical compatibility and user satisfaction.
• Data Ingestion & Cleaning: Analyze and process raw log files (CSV/Excel), handling data inconsistencies and structuring it for analysis.
• Dashboard Creation: Design and build interactive dashboards in Tableau or PowerBI to visualize key metrics.
• Work with the engineering team to define the long-term data requirements for the future platform.
• Conduct a comprehensive audit of current BI workflows to recommend a "future-state" platform (e.g., Looker, Sigma, or ThoughtSpot) based on scalability, cost, and user adoption.

Description

Our Customer is one of the biggest companies on the market of home entertainment consumer electronics devices that strives to provide their clients with high-quality products and services.

Project goals include automation of tests and processes for new firmware releases; creating tools and reports to help other teams perform better and get data and summaries more easily.

Requirements

• Good Software Testing skills (good knowledge of test design and testing techniques; excellent reporting and documentation skills)
• Good Requirement analysis skills
• Knowledge of Python and usage of automated testing frameworks
• Experience in BDD AUtomation
• At least intermediate English level
• Self-motivated person who is able to work independently and in the team
• Good communication skills
• Ability to learn new technologies quickly

Job responsibilities

• Working with automated and manual test frameworks 
• Creating automated scripts, tools and reports
• Debugging issues and creating bug reports
• Developing test plans for new features and ensure good level of test coverage
• Contributing to team processes
• Communication with clients and team members

Job Description

• Core AI Frameworks: Strong proficiency in Python, PyTorch, and TensorFlow and other Deep Learning libriries for developing denoising and enhancement models.
• Computer Vision & Enhancement: Deep understanding of image transformation matrices and granular control over image enhancement parameters.
• Advanced Image Metrics: Experience in calculating and thresholding quality metrics, including brightness, noise, and shape indices.
• AI-Assisted Labeling: Hands-on experience with Label Studio for real-time interactive AI-assisted segmentation and data annotation.
• MLOps for Vision: Proficiency in MLflow for artifact tracking and DVC for managing large image dataset versioning.
• Orchestration & Tools: Experience using Apache Airflow to automate complex enhancement workflows and OpenVINO for model optimization.
• Statistical Auditing: Ability to perform statistical reviews of evaluation results to ensure production safety and model accuracy.

Job Responsibilities

As an ML Engineer (AI Developer), you will bridge the gap between process engineering and scalable AI infrastructure.

• Modular Image Processing: Design and develop custom image pre-processing flows and device-specific adapters to ensure customer needs are met across different device types.
• Pipeline Engineering: Construct various types of data processing pipelines specific to use cases on CD-SEM devices.
• Deep Learning Implementation: Utilize modern Deep Learning libraries to perform ML model training and evaluation specifically for image enhancement.
• Quality Control & Validation: Implement automated model validation and image enhancement quality control to compare processed vs. original images.
• Algorithm Integration: Add new algorithms and image processing tools via a plug-in approach to the unified platform.

Department/Project Description

Our client is evolving its existing application from a monolithic, device-specific tool into a scalable, unified MLOps platform.

The project focuses on supporting multiple Critical Dimension Scanning Electron Microscope (CD-SEM) devices and expanding AI denoising model usage across diverse environments. You will join a team moving away from hard-coded solutions toward a modular "Plugin and Adapter" architecture that automates the machine learning lifecycle—from data ingestion to edge deployment.

Description

English – Upper-Intermediate
PC proficiency (Windows)
Ability to work with maps services
Good knowledge of Microsoft Office(Excel), GSuit

Requirements

We are looking for a content coordinator engineer with a good internet connection and communication skills. In this position, you will process geodata collected by field workers in different cities around the world. As a coordinator, you will be involved in training, coordinating and supervising field workers.

Job responsibilities

Data analyzing
Data processing
Field workers coordination and support
Support for data deliveries at all stages