N-iX

N-iX is looking for a Tech Lead/Senior QA Engineer with AI experience to join our team.

We're looking for a hands-on Tech Lead/Senior Manual QA Engineer who can cover the full testing spectrum: UI, API, and AI/ML output validation. You'll be joining a project building an AI-powered document analysis platform from the ground up. The system combines a CMS backend, modern UI, and a RAG-based AI layer used for intelligent document processing and analysis.

Key Responsibilities

• Follow a phased QA approach — begin with CMS and backend testing to establish a reliable baseline of expected system behavior, then apply those insights to validate AI agent outputs effectively
• Design and execute test cases for REST APIs, covering functional correctness, edge cases, error handling, authentication, and data integrity
• Perform UI testing across core user journeys, validating layout, behavior, and integration with backend services
• Transition into AI output validation once the deterministic layers are stable — using your knowledge of business rules to identify inconsistencies, hallucinations, or degraded outputs in agent responses
• Document and maintain test cases, test plans, and bug reports in a structured and traceable way
• Participate in requirement reviews and technical discussions to identify testability gaps early
• Collaborate with the Lead Big Data/AI Engineer and AI team to understand RAG pipeline behavior, document ingestion flows, and output quality expectations
• Contribute to building reusable test assets and QA processes as the project scales

Requirements

• 4+ years of experience in manual QA, with exposure to frontend, backend and AI testing
• Solid experience with API testing using tools such as Postman, REST Client, or similar
• Experience testing web UIs and understanding of cross-browser/cross-environment considerations
• Ability to read and interpret API documentation, data schemas, and system architecture descriptions
• Hands-on experience working on projects that included AI, ML, or NLP components — particularly validating outputs that are probabilistic or context-dependent
• Familiarity with the concept of RAG (Retrieval-Augmented Generation) or LLM-based systems
• Strong analytical thinking — especially the ability to assess whether an AI response is contextually correct, not just technically non-null
• Good understanding of test documentation practices: test plans, test cases, bug reports, traceability
• English level at least Upper-Intermediate

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

N-iX is looking for a talented Middle General QA engineer (Manual & Automation) to join our team!  

Our client is one of Europe's fastest-growing mobile companies with 6 million active customers, 1,000 employees worldwide, and operations in five countries. The client is using the mobile virtual network operator business model.
The role combines manual QA responsibilities such as requirements analysis, test design, API testing, defect management, and regression testing, with automation activities focused mainly on backend/API test automation using Java-based frameworks.

Responsibilities :

• Analyse business requirements, specifications, and technical design documents to provide meaningful feedback and identify potential gaps or risks early in the development process
• Design, develop, and execute comprehensive test cases, test plans, and scripts to validate new features, ensure non-functional requirements are met, and conduct regression testing
• Perform end-to-end testing of backend functionality, focusing on web services (REST, SOAP) and ensuring seamless integration within a microservice architecture
• Contribute to API/backend test automation using Java-based automation frameworks
• Maintain and extend existing automation tests, including regression and integration test scenarios
• Identify, document and track defects, ensuring timely resolution and effective communication of issues
• Manage and maintain test data, ensuring proper setup for efficient and accurate test execution
• Validate data using SQL queries and database checks.
• Work within a cross-functional team, closely collaborating with developers, automation testers, and production support engineers to improve overall software quality
• Lead demo sessions for stakeholders, showcasing test results, findings, and key observations
• Perform troubleshooting, root-cause analysis, and problem-solving, actively identifying and addressing issues to streamline development
• Communicate effectively in a multinational environment

• Contribute to continuous QA process improvements, enhancing reporting, documentation, and best practices

   

Requirements :

• 3+ years of experience in software quality assurance
• Practical experience with test automation, preferably backend/API automation
• Strong knowledge of QA methodologies, testing processes, tools, and best practices
• Proven ability to write clear, concise, and comprehensive test cases
• Understanding of microservice architecture and integration testing
• Hands-on experience with Web Services (REST and SOAP)
• API testing experience (Postman, Swagger, or similar tools)
• Good skills in requirement analysis, test design, defect reporting, and risk identification
• Good practical experience with SQL for database querying and test validation
• Good understanding of XML and JSON
• Experience in Agile/Scrum/Kanban development environments
• Experience with project management tools (JIRA, Confluence) and test case management (TestRail, XRay) tools
• Knowledge and experience with messaging systems and patterns (topics, queues), and tools (Azure Service Bus)
• Understanding and hands-on experience with CI/CD processes and tools (e.g., Azure DevOps, Jenkins etc)
• Strong problem solving skills and attention to detail
• Ability to work independently and drive tasks to completion
• Solid verbal and written English communication skills (Upper-Intermediate)

Would be a plus:

• Experience with Azure cloud environment and cloud-based testing
• Deeper experience with CI/CD pipelines and test execution integration
• Experience with performance, reliability, or non-functional testing
• Experience in backend-heavy or microservice-based platforms.
• Understanding of telecom industry principles

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 are looking for a Senior DevOps Engineer to join our team, collaborating closely with engineers on the client side. We are looking for a skilled professional with strong expertise in Kubernetes, Golang, and C#, along with experience in infrastructure automation, CI/CD pipelines, and cloud/on-prem environments. Familiarity with OpenText Content Server is a plus, as is experience with Proxmox for virtualization.
 

Responsibilities:

• Design, deploy, and manage Kubernetes clusters for scalable and resilient applications.
• Develop and maintain infrastructure-as-code (IaC) and automation scripts (e.g., Helm, Terraform, Ansible).
• Build and optimize CI/CD pipelines for efficient software delivery.
• Collaborate with developers to ensure smooth deployments, monitoring, and troubleshooting.
• Work on business requests and infrastructure improvements—proactivity is appreciated!
• Ensure system reliability, performance, and security across cloud and on-prem environments.
• Participate in project meetings and contribute to team performance and continuous improvement.
   

Requirements:

• 3+ years of experience in DevOps/SRE or infrastructure-focused roles.
• Strong expertise in Kubernetes (K8s) for orchestration and scaling.
• Proficiency in Golang (for tooling/automation) and C# (for application support).
• Experience with OpenText Content Server (a strong plus).
• Familiarity with Proxmox for virtualization (desirable).
• Solid understanding of CI/CD tools (GitLab CI, Jenkins, ArgoCD, etc.).
• Knowledge of infrastructure-as-code (Ansible, Helm).
• Experience with monitoring/logging tools (Prometheus, Grafana, ELK, etc.).
• Excellent verbal and written communication skills in English (B2+)
   

Personal Attributes:

• Self-organizing problem solver with a proactive mindset.
• Able to think outside the box and propose innovative solutions.
• Strong team player, capable of collaborating and motivating others.
• Encourages high-quality, reliable, and scalable infrastructure.
• Attention to detail and a commitment to continuous improvement.

We are seeking a motivated Junior Big Data Engineer to join our team. In this role, you will contribute to the development and maintenance of data pipelines, data models, and data processing solutions within modern cloud and big data environments. You will work closely with senior engineers to build scalable data solutions and support data-driven business initiatives.

The ideal candidate has hands-on experience with Python, PySpark, and SQL, a solid understanding of data engineering fundamentals, and an interest in working with large-scale data platforms and AI-powered solutions.

Key Responsibilities:

• Support the design, development, and maintenance of data pipelines and ETL/ELT processes.
• Develop and optimize data transformation workflows using Python and PySpark.
• Assist in integrating data from multiple sources while ensuring data quality, consistency, and reliability.
• Collaborate with data engineers, data scientists, and AI/ML engineers to prepare and manage datasets for analytics and machine learning applications.
• Participate in data modeling, schema design, and data warehousing activities.
• Monitor data pipelines, investigate issues, and contribute to performance improvements.
• Follow data governance, security, and privacy best practices.
• Document technical solutions, processes, and data flows.
• Stay current with emerging technologies and industry trends, incorporating innovative solutions into data engineering practices, and effectively document and communicate technical solutions and processes.

Tools and skills you will use in this role:

• Palantir Foundry
• Python
• PySpark
• SQL
• TypeScript

Requirements:

• 1+ year of experience in data engineering
• Strong proficiency in Python and SQL
• Hands-on experience with PySpark
• Familiarity with big data technologies (e.g., Apache Hadoop, Spark, Kafka, BigQuery, etc.)
• Basic experience with cloud services (e.g., AWS Glue, Azure Data Factory, Google Cloud Dataflow)
• Understanding of ETL/ELT pipelines and data integration techniques
• Experience with database systems (e.g., PostgreSQL, MySQL, NoSQL, etc.)
• Effective problem-solving and analytical skills, coupled with excellent communication and collaboration abilities
• Strong communication and teamwork abilities
• Strong mathematical, statistical, and algorithmic skills
• English - Upper-Intermediate or higher

Nice to have:

• Experience with AI/ML
• Previous experience working with JavaScript and TypeScript

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 are looking for an experienced SAP S/4HANA Engineer to join a global SAP transformation and delivery program. The specialist will be responsible for designing and developing scalable SAP solutions, supporting system integrations, and driving SAP S/4HANA modernization initiatives. The role requires close collaboration with business stakeholders, functional consultants, architects, and distributed development teams to deliver high-quality, maintainable solutions aligned with business needs.

Responsibilities:

• Design, develop, and maintain SAP S/4HANA applications and extensions using modern ABAP technologies.
• Build and enhance solutions using ABAP OO, RAP (RESTful Application Programming Model), and OData Services.
• Design and implement APIs and integration interfaces between SAP and external systems.
• Translate business and functional requirements into scalable technical solutions.
• Collaborate with functional consultants, architects, product owners, and business stakeholders throughout the development lifecycle.
• Participate in solution design, code reviews, testing, deployment planning, and continuous improvement initiatives.
• Support Material Master Data processes and related SAP business functions.
• Ensure compliance with development standards, security requirements, and quality best practices.

Requirements:

• 6+ years of hands-on SAP development experience.
• Strong experience with SAP S/4HANA development and implementation projects.
• Expertise in: ABAP OO, SAP RAP (RESTful Application Programming Model), OData Services, and SAP APIs and integration technologies
• Solid understanding of Material Master Data and related business processes.
• Experience delivering solutions across the full software development lifecycle.
• Strong analytical, problem-solving, and stakeholder management skills.
• Experience working within international and distributed teams.
• Professional English proficiency.

Nice to have:

• Experience with large-scale SAP transformation or migration programs.
• Knowledge of SAP integration platforms and enterprise integration patterns.
• Experience working in Agile environments.
• Understanding of SAP Clean Core principles and extensibility concepts.
• Familiarity with additional SAP integration technologies and modern SAP development practices.

Our client is a leading financial institution focused on digital innovation and customer-centric solutions. You will join a cross-functional Agile squad working on the development of a new, cutting-edge banking product aimed at redefining the digital experience for millions of users. The team collaborates closely to deliver secure, scalable, and intuitive financial solutions powered by modern technologies.

Responsibilities:

• Breaking down high-level business requirements into clear, actionable tasks for the development team
• Overseeing the implementation of tasks and maintaining quality control throughout the development lifecycle
• Facilitating communication between customers and the technical team at all stages
• Maintaining comprehensive project documentation within Confluence
• Analyzing existing business processes to identify opportunities for automation and increased operational efficiency
•  

Requirements:

• 5+ years of commercial experience as a System/Business Analyst, demonstrating a clear Senior-level proficiency
• Proven track record in the development and deployment of WEB and Mobile products
• Exceptional ability to gather, structure, and document complex business requirements
• Ability to lead and monitor tasks from the initial requirement phase through to final product launch.
• Hands-on experience with BPMN and UML notations to map business processes and identify bottlenecks
• Practical experience in REST API design and a solid understanding of microservices architecture
• Experience working closely with UI/UX designers, Backend/Frontend developers, QA, and DevOps engineers
• Experience working with non-functional requirements (scalability, security, performance)

We are looking for a Senior AI/ML Engineer to join our team!

Our client is an innovative technology division within one of the world's top-10 copper producers. The team focuses on leveraging AI, machine learning, and advanced analytics to optimize industrial operations, improve asset reliability, and support data-driven decision-making across global mining and production facilities. The role is focused on building intelligent solutions for predictive maintenance, anomaly detection, and asset performance optimization, helping reduce downtime and improve operational efficiency across large-scale industrial environments.

Responsibilities:

• Design, develop, and deploy machine learning models for predictive maintenance, anomaly detection, and asset health monitoring.
• Build and maintain production-grade ML pipelines for time-series forecasting and sensor/telemetry data processing.
• Collaborate with Data Engineers and Analytics Engineers on data preparation, feature engineering, and model integration.
• Integrate model outputs, risk scores, and predictive insights into operational dashboards and business applications.
• Establish and maintain MLOps processes, including model deployment, monitoring, retraining, and drift detection.
• Research and evaluate new AI/ML approaches, tools, and technologies to improve predictive capabilities and business outcomes.
• Work closely with business and technical stakeholders to translate complex analytical results into actionable recommendations.

Requirements:

• 5+ years of experience as a Machine Learning Engineer or Data Scientist.
• Strong Python skills and hands-on experience with Pandas, NumPy, Scikit-Learn, SciPy, and related ML libraries.
• Proven experience with time-series forecasting and predictive modeling techniques (ARIMA, Prophet, XGBoost, LSTM/RNN, etc.).
• Experience working with telemetry, IoT, sensor, or equipment performance data.
• Hands-on experience with Azure Machine Learning, Databricks, MLflow, or similar MLOps platforms.
• Strong SQL skills and experience working with both relational and non-relational databases.
• Experience building and deploying production-ready ML solutions.
• Strong analytical and problem-solving skills with the ability to translate technical insights into business value.

Nice to have:

• Master's or PhD degree in Data Science, Statistics, Engineering, Mathematics, Operations Research, or a related quantitative field.
• Experience in mining, manufacturing, heavy industry, utilities, or other asset-intensive domains.
• Knowledge of Operational Technology (OT) environments and reliability engineering concepts.
• Experience with enterprise asset management systems such as SAP PM or IBM Maximo.
• Familiarity with reliability methodologies such as RCM or FMEA.
• Experience with real-time data processing and anomaly detection on streaming platforms (Kafka, Azure Stream Analytics, etc.).

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

N-iX is looking for Senior DevSecOps Engineer (Azure, Terraform, Sentinel)

Over 1.5 million customers and more than a billion people in over 180 countries use Customer solutions to accelerate the process of doing business and simplify people’s lives. With intelligent agreement management, Client unleashes business-critical data that is trapped inside of documents. Until now, these were disconnected from business systems of record, costing businesses time, money, and opportunity. Using our product companies can create, commit, and manage agreements.

We are seeking a skilled and motivated engineer to join our Threat Detection Engineering team for an Infrastructure-as-Code migration initiative. Reporting to the Manager of Threat Detection Engineering, you will be responsible for the migration of Microsoft Sentinel and associated Azure resources that power our threat detection capabilities to Infrastructure-as-Code (Terraform). This role requires a strong software engineering, DevOps, and cloud engineering foundation and a focus on system reliability.

Team Overview:

Security Operations, comprising Threat Intel, Detection Engineering, and CSIRT, identifies and mitigates threats through detection building, alert analysis, and forensic investigations. We are proactive, engineering-oriented, intent-driven problem-solvers dedicated to securing the business. We prioritize trust, safeguarding customer data, and platform integrity. Our dynamic and global team innovates at speed with cutting-edge tech, fostering continuous improvement and proactive defense against evolving threats. 

Detection Engineering forms the backbone of our data platform and detection operations, designing and engineering the pipeline and developing code and detections to provide for its efficacy. This pipeline powers our software engineering-based monitoring service, enabling the identification of relevant threats and delivering actionable alerts to the CSIRT for effective response.

Responsibility:

• Transition the configuration of existing Microsoft Sentinel and Azure resources (used to collect, process, and ingest security telemetry) to Infrastructure-as-Code (Terraform).
• Build, automate, and manage Azure resource configuration leveraging GitHub and Azure DevOps (ADO) pipelines.
• Demonstrate software engineering principles throughout the migration lifecycle, including using version control, automated testing, and continuous integration/continuous deployment (CI/CD) pipelines to eliminate breaking changes and false negatives.
• Partner effectively with the Threat Detection Engineering team to establish repeatable, scalable documentation around automated infrastructure deployment.
• Clearly and concisely communicate technical security concepts, infrastructure findings, and migration status updates to both technical and non-technical stakeholders.

Requirements

Basic:

• 4+ years of progressive experience in Software Engineering, DevOps, Cloud Engineering, or Cybersecurity, with at least 2+ years explicitly focused on Infrastructure-as-Code automation (Terraform) and provisioning cloud platform environments.
• Direct, hands-on proficiency building, managing, and maintaining secure continuous integration and continuous deployment (CI/CD) pipelines within both GitHub and Azure DevOps (ADO).
• Deep technical expertise in provisioning and managing cloud infrastructure using Terraform, including state file management, modular development, and executing zero-downtime refactoring.
• Direct experience configuring and optimizing Microsoft Sentinel SIEM environments, with a specific focus on deploying the associated Azure resources used for security log collection and ingestion via code.
• Highly proficient in programming languages like Python or Go, alongside scripting tools (e.g., PowerShell, Bash), specifically tailored for system automation, cloud platform interactions, and custom API integrations.
• Demonstrated ability to author clean, comprehensive engineering documentation, including architectural mappings of cloud deployments and exhaustive inventory tracking of resources maintained under Terraform management.

Preferred:

• Bachelor's degree or equivalent experience in Computer Science, Engineering, or a related field ; advanced security or cloud engineering certifications (e.g., Microsoft Certified: DevOps Engineer Expert, Azure Security Engineer Associate, or HashiCorp Certified: Terraform Associate are a distinct advantage.
• Experience managing large-scale infrastructure deployments across complex, multi-tenant cloud environments.
• Strong foundational background in security-focused software engineering, DevSecOps, or automation-heavy system architecture.
• Proven history of collaborating effectively across engineering, infrastructure, and security operations teams to drive architectural excellence.

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

N-iX is looking for Chinese Annotator to join our team. Our customer is used by our clients to stay on top of threats to their business. In our tools, they can create alerts or search, analyze and process the cybersecurity information we are providing. Analytics team is responsible for analysis and structuring of text information in different languages.
Basing on this information solution defines possible risks for different areas of customer's work.

Responsibilities:

• Work on engaging in the accurate and efficient annotation of text data using the provided tools
• Support researchers in training deep learning models through accurately categorizing content and annotating data
• Report and document issues faced from data annotation to team and discuss solutions to improve data
• POS-tagging and lemmatization

Qualification:

• Good English level
• Good speaking and reading level of second language - Chinese
   

Good to have:

• Education level in philology
• Some certifications for Chinese language level.

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

N-iX is a global software development service company that helps businesses across the globe create next-generation software products. Founded in 2002, we unite 2,400+ tech-savvy professionals across 40+ countries, working on impactful projects for industry leaders and Fortune 500 companies. Our expertise spans cloud, data, AI/ML, embedded software, IoT, and more, driving digital transformation across finance, manufacturing, telecom, healthcare, and other industries. Join N-iX and become part of a team where your ideas make a real impact.

Our customer is a leading fashion retailer and retail innovator. We can not share who they are, but we can assure you that they are taking a big part of your wardrobe and you adore them. We are looking for an experienced Product Owner/ Business Analyst to join our team and focus on customer pain points and PO vision. The Product Owner who will join our team is going to work closely with the customer's managers, our clients, the support team, and the technical team

What You Will Bring to the product:

• Defined the end-to-end product strategy, helping to define and shape solution value through a focus on customer pain points and the team's vision
• Captures requirements from business stakeholders and prepares users' stories with detailed acceptance criteria
• Ensure backlog is aligned with UX/UI design
• Drive a Production Product mindset across the team, ensure that the definition of minimum value and user-testable team outputs
• Work closely with technology teams to ensure the delivery of User Value in line with User Story goals
• Support a shared understanding of User Stories across the team, particularly why they are valuable/prioritised
• Ensure backlog captures dependencies on vendors and other parallel work, being closer to Technical / Process detail than Journey Owner

• Ensure the roadmap is aligned with backlog priorities

   

Requirements:

• Solid understanding of the Production Product mindset, understanding of the value of short-term planning
• At least 5 years of experience working in Scrum, SAFe, or LeSS framework environment as PO/BA
• Advanced English level and advanced Spanish level
• Experience with writing User Stories accordance with DOR, decomposing work to drive prioritisation
• Strong communication skills with the ability to communicate complex messages and trade-offs, telling a compelling story
• Comfortable with processes/ technology/IT to be able to understand and help problem solve with the technical team(s), addressing their concerns
• Strong leadership and influencing skills, with confidence in explaining complex processes or technical details to diverse groups of people
• Strong problem solver with the ability to lead the team and to push the solution and progress

Would be a big plus:

• Experience in retail, distribution, and commercial areas, but it is not a must

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 are looking for a Senior ML Computer Vision Engineer to join our team!

Our client is an innovative technology division within one of the world's top-10 copper producers. You'll play a pivotal role in their expanding Computer Vision and AI ambitions. While the initial focus involves advanced asset management, the team is embarking on a long-term journey to leverage traditional machine learning, artificial intelligence, and predictive maintenance across their global operations.

Working closely with a newly appointed Computer Vision Subject Matter Expert (SME) and cross-functional data and integration teams, you will drive research and development initiatives from proof-of-concept through to production. Your work will directly shape how the organisation utilizes visual and operational data, eventually integrating these cutting-edge AI capabilities into the core asset management scope and broader operational ecosystem.

Responsibilities:

• Partner with the Computer Vision SME to drive R&D initiatives, exploring new applications for AI, CV, and traditional machine learning within heavy industry.
• Design, develop, and deploy Computer Vision models (e.g., object detection, image classification, segmentation) and traditional ML algorithms for predictive maintenance and asset monitoring.
• Translate business requirements and R&D concepts into scalable, production-ready machine learning pipelines.
• Collaborate with Data Engineers and Analytics Engineers to ensure seamless ingestion, transformation, and availability of visual, sensor, and operational data.
• Work alongside Integration Engineers to embed AI/ML capabilities and model outputs into existing enterprise applications and asset management systems.
• Implement MLOps best practices for model training, versioning, deployment, monitoring, and lifecycle management within an Azure-centric environment.
• Evaluate and select appropriate algorithms, frameworks, and cloud-native AI tools to meet evolving business and performance needs.
• Prepare comprehensive technical documentation, model architectures, and performance reports for technical and non-technical stakeholders.

Requirements:

• 5+ years of hands-on experience as a Machine Learning Engineer, Computer Vision Engineer, or AI Researcher in a software development environment.
• Strong proficiency in Python and deep learning frameworks such as PyTorch, TensorFlow, or Keras.
• Proven experience building and deploying Computer Vision solutions (e.g., using OpenCV, YOLO, ResNet) in real-world scenarios.
• Solid foundation in traditional machine learning techniques (e.g., scikit-learn, XGBoost) and statistical data analysis, particularly for predictive maintenance or time-series forecasting.
• Experience with cloud-based ML platforms and MLOps practices, preferably utilizing Azure Machine Learning, Databricks, or similar enterprise environments.
• Familiarity with data manipulation and analysis libraries (Pandas, NumPy) and working with large, diverse datasets (images, video streams, sensor data).
• Strong analytical and problem-solving skills, with a track record of transitioning models from R&D phases into production scale.
• Excellent communication skills, with the ability to collaborate effectively with SMEs, data engineering teams, and business leadership.
• Master’s degree or PhD in Computer Science, Artificial Intelligence, Data Science, or a related highly quantitative field (or equivalent applied experience).

Nice to have:

• Background in mining, heavy industry, or manufacturing environments, particularly working with OT (Operational Technology) or IoT sensor data.
• Experience processing and analyzing geospatial data, drone imagery, or edge-computing AI deployments.
• Familiarity with Azure Data Factory, Azure Synapse, or Azure Integration Services to better align with the broader data platform team.

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

Our customer is the European online car market with over 30 million monthly users, with a market presence in 18 countries. As a Senior Data 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.

Requirements:

• 5+ years of experience in data engineering;
• Expertise in AWS services ( Glue, Athena, etc.);
• Proficiency in Python, PySpark, GCP;
• Experience with Snowflake, DBT, SQL, Airflow;
• Expirience with Qlik to AWS Datalake (nice to have);
• English - Upper-Intermediate+;
• Experience in building and maintaining data pipelines;
• Experience in building data platforms, not just using them;

• Proficiency in data modeling techniques and best practices.

   

Responsibilities:

• Work on migration from Snowflake to the client’s service;
• Propose improvements, be actively involved in team discussions and decision-making, drive initiatives;
• Work closely with a team of Senior Engineers, Product & Project Manager and Data Analysts.
   

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

Our customer is the European online car market with over 30 million monthly users, with a market presence in 18 countries. As a Senior Data 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.

Requirements:

• 5+ years of experience in data engineering;
• Expertise in AWS services ( Glue, Athena, etc.);
• Proficiency in Python, PySpark, GCP;
• Experience with Snowflake, DBT, SQL, Airflow;
• Expirience with Qlik to AWS Datalake (nice to have);
• English - Upper-Intermediate+;
• Experience in building and maintaining data pipelines;
• Experience in building data platforms, not just using them;

• Proficiency in data modeling techniques and best practices.

   

Responsibilities:

• Work on migration from Snowflake to the client’s service;
• Propose improvements, be actively involved in team discussions and decision-making, drive initiatives;
• Work closely with a team of Senior Engineers, Product & Project Manager and Data Analysts.
   

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

N-iX is looking for Senior Full-Stack Engineer (Spanish-speaking) to join the team

Our client is one of the world’s leading global fashion retailers operating in more than 200 markets through both e-commerce platforms and thousands of physical stores worldwide. The company manages the full fashion value chain – from design and manufacturing to distribution and retail – with a strong focus on flexibility, digital integration, and sustainability.

Technology plays a critical role across all business areas including stores, e-commerce, logistics, and supply chain. Engineering teams work in small, autonomous product teams that own the full lifecycle of the solutions they build. Engineers are encouraged to understand the broader business context, collaborate directly with stakeholders and users, and actively contribute to technical and product decisions.

Responsibilities:

• Participate actively and constantly in the design and development of APIs
• Ensure the availability and resilience of its services that help the development of the company’s business
• Ensure the quality of development and code cleanliness (Clean Code)
• Continuously perfect our style guides, design, and code patterns as well as our React component library
• Implement the scripts for the automation of the test cases
• Automatic and manual exploratory execution during the development to verify that the acceptance criteria are covered
• Maintain and evolve automated test cases with QA
• Work in close contact with the Product Owner and support in the technical definition of product backlog items
• Guarantee continuous deployment, write qualitative, maintainable code with extensive test coverage in a fast-paced professional software engineering environment
• Suggest technical and functional improvements to add value to the product

Requirements:

• 5+ years of software development experience
• 4+ years of strong Java development experience with Maven
• 2–3 years of experience with Spring framework and building Spring-based web applications
• Solid understanding of microservices architecture and RESTful APIs (OpenAPI)
• Experience with modern frontend technologies including React, Redux, Redux-Saga, TypeScript, ES6
• Experience with HTML5, CSS3/SCSS, responsive design techniques, and frontend performance optimization
• Strong knowledge of OOP, OOD, DDD, and design patterns
• Experience with relational databases and NoSQL solutions (e.g., MongoDB)
• Experience with Kafka and event-driven architectures 
• Experience working with cloud platforms such as AWS or Azure
• Experience working in Agile environments and understanding Agile development practices.
• Experience actively using AI tools in the development workflow is required.
• Spanish – Upper-Intermediate or higher (required)
• English – Upper-Intermediate or higher

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 are looking for a Lead/Senior AI/ML Engineer to join our team!

Our client is an innovative technology division within one of the world's top-10 copper producers. The team focuses on leveraging AI, machine learning, and advanced analytics to optimize industrial operations, improve asset reliability, and support data-driven decision-making across global mining and production facilities. The role is focused on building intelligent solutions for predictive maintenance, anomaly detection, and asset performance optimization, helping reduce downtime and improve operational efficiency across large-scale industrial environments.

Part-time work is also possible (4 hours a day).

Responsibilities:

• Design, develop, and deploy machine learning models for predictive maintenance, anomaly detection, and asset health monitoring.
• Build and maintain production-grade ML pipelines for time-series forecasting and sensor/telemetry data processing.
• Collaborate with Data Engineers and Analytics Engineers on data preparation, feature engineering, and model integration.
• Integrate model outputs, risk scores, and predictive insights into operational dashboards and business applications.
• Establish and maintain MLOps processes, including model deployment, monitoring, retraining, and drift detection.
• Research and evaluate new AI/ML approaches, tools, and technologies to improve predictive capabilities and business outcomes.
• Work closely with business and technical stakeholders to translate complex analytical results into actionable recommendations.

Requirements:

• 5+ years of experience as a Machine Learning Engineer or Data Scientist.
• Strong Python skills and hands-on experience with Pandas, NumPy, Scikit-Learn, SciPy, and related ML libraries.
• Proven experience with time-series forecasting and predictive modeling techniques (ARIMA, Prophet, XGBoost, LSTM/RNN, etc.).
• Experience working with telemetry, IoT, sensor, or equipment performance data.
• Hands-on experience with Azure Machine Learning, Databricks, MLflow, or similar MLOps platforms.
• Strong SQL skills and experience working with both relational and non-relational databases.
• Experience building and deploying production-ready ML solutions.
• Strong analytical and problem-solving skills with the ability to translate technical insights into business value.

Nice to have:

• Master's or PhD degree in Data Science, Statistics, Engineering, Mathematics, Operations Research, or a related quantitative field.
• Experience in mining, manufacturing, heavy industry, utilities, or other asset-intensive domains.
• Knowledge of Operational Technology (OT) environments and reliability engineering concepts.
• Experience with enterprise asset management systems such as SAP PM or IBM Maximo.
• Familiarity with reliability methodologies such as RCM or FMEA.
• Experience with real-time data processing and anomaly detection on streaming platforms (Kafka, Azure Stream Analytics, etc.).

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