Senior Machine Learning Engineer at Kaizen Gaming | Athens, Greece

Optasia is a dynamic B2B2X financial technology platform that specializes in scoring, financial decision-making, disbursement, and collection. Our mission is to foster financial inclusion globally, as we are transforming the financial landscape.We are looking for passionate and energetic professionals who are results-oriented and possess a proactive mindset. Join our innovative team of like-minded individuals dedicated to delivering cutting-edge solutions in an exciting environment. At Optasia, data is central to our growth strategy, and our Data Engineering team plays a vital role in our success through data-driven insights and decision-making.As an ML & Data Ops Engineer at Optasia, you will be pivotal in ensuring the availability and performance of our workflows. You will monitor and optimize our existing data system infrastructure, prioritize issue resolution, and promote a culture of continuous improvement. Your contributions will be essential in maintaining high service standards and reinforcing our commitment to client success.Key Responsibilities:Oversee daily monitoring of ML workflows, service alerts, and all data system infrastructure, including storage, applications, databases, and resources.Act as an escalation point for critical ML and data incidents, diagnosing issues and resolving or escalating as needed.Champion continuous integration, continuous delivery, and automation practices to facilitate seamless software transitions from development to production.Manage customer inquiries efficiently to ensure prompt responses and resolutions within defined SLAs.Encourage a culture of continuous improvement by identifying enhancements in processes, tools, and technologies.Conduct health and quality checks of ML and data workflows to ensure operational excellence.Collaborate with cross-functional teams including ML/Data Engineering, Algorithmic Trading, and System & Network Administration to resolve internal and client-related issues effectively.Develop training materials and deliver sessions, maintaining comprehensive technical documentation.

Optasia is an innovative B2B2X financial technology platform dedicated to enhancing scoring, financial decision-making, disbursement, and collection processes. Our mission is to foster financial inclusion for everyone. Join us in transforming the financial landscape!We are on the lookout for passionate and driven professionals who thrive in a collaborative environment. As a member of our dynamic team, you will contribute to delivering innovative solutions that make a difference.Data plays a pivotal role in Optasia's growth strategy, with our ML Engineering team being a key contributor. We harness data from various sources into our extensive big data clusters and develop and manage multiple analytical pipelines using state-of-the-art big data technologies.As a Senior ML Infrastructure Engineer, you will play a crucial role in enhancing Optasia's data-driven decision-making and credit risk management by developing and optimizing scalable, end-to-end ML pipelines. Your key responsibilities will include: (i) building robust ML pipelines, (ii) designing statistical and machine learning algorithms, and (iii) operationalizing these solutions to bolster credit risk management, directly impacting Optasia's success.Your Responsibilities:Provide technical guidance in ML engineering to ensure the adoption of optimal tools and methodologies, staying ahead of emerging trends and delivering industry-leading solutions.Enhance the scalability, stability, accuracy, speed, and efficiency of ML workflows while maintaining stringent testing and code quality standards.Contribute to the design and development of microservices and tools that facilitate the Machine Learning lifecycle at Optasia.Collaborate on the design and implementation of scalable, real-time microservices utilized globally.Foster continuous improvements in the development lifecycle with the team.Design, develop, and maintain large-scale Spark jobs using PySpark and Scala.Build and manage CI/CD pipelines with Jenkins.Create automation scripts using Python or Bash.Develop and deploy scalable Airflow pipelines to support the Machine Learning lifecycle.Conduct data exploration and analysis to scope, build, and refine Machine Learning proof-of-concepts (PoCs).Partner with Engineers and the Credit Risk team to design and implement solutions that deliver business value at Optasia.Optimize the codebase through Spark job tuning and refactoring.Drive enhancements to our feature engineering engine for improved efficiency.

Optasia builds B2B2X financial technology for scoring, decision-making, disbursement, and collections, with a focus on expanding financial inclusion worldwide. The company’s growth relies on data-driven strategies, and the Machine Learning Engineering team is at the center of this effort. The Machine Learning Infrastructure Engineer role supports automated decision-making and risk management. This position involves working with large data sets, integrating information from multiple sources, and managing analytical pipelines built on a modern big data technology stack. What you will do Build and maintain resilient machine learning pipelines that support business-critical decisions Design and develop statistical and machine learning algorithms for credit risk management Deploy and operationalize ML solutions to improve automated risk assessment and decision processes What we are looking for Strong experience with end-to-end machine learning workflows Background in developing and deploying advanced algorithms Motivation, energy, and a results-oriented approach Ability to thrive in a collaborative team environment This position is based in Athens, Greece, and offers the chance to make a direct impact on Optasia’s data-driven initiatives.

Join Kiefer Tech, a pioneering technology firm in the Green Energy sector with over 12 years of engineering excellence. We specialize in developing advanced AI, robotics, and enterprise solutions, ensuring data sovereignty within the EU. Our commitment to privacy and impactful business results drives our mission to create cutting-edge AI infrastructure, including the first true Greek Large Language Models and intelligent automation solutions. Collaborating with NVIDIA, we aim to enhance Greece’s technological sovereignty and innovation landscape. Be part of our journey to shape the AI-powered future.Your Role:As a Senior Machine Learning Engineer, you will be instrumental in designing, optimizing, and scaling our AI systems that power the Sophea and Kiefer multi-product platform. This position requires a blend of hands-on ML engineering expertise and collaborative systems thinking. You will focus on production-grade ASR pipelines, enhancing Greek-language LLM performance, and developing cost-effective inference solutions while establishing technical benchmarks and elevating our ML practices organization-wide.Your contributions will significantly enhance product performance, customer satisfaction, and our capacity to deploy AI solutions across various public and enterprise sectors in Greece and beyond.Key Responsibilities:Develop and scale production-grade ASR and LLM pipelines, optimizing throughput, latency, and reliability while ensuring compliance with data sovereignty requirements.Enhance model performance through dataset-centric optimizations, broadening Greek-language capabilities and domain-specific expertise.Architect and implement scalable multi-agent AI systems to automate complex enterprise document analyses and decision-making processes.Lead cost and performance optimization efforts for model inference, utilizing techniques like quantization, caching, and intelligent routing to lower costs.Establish and maintain ML engineering standards, including evaluation frameworks, CI/CD practices, testing protocols, and mentorship initiatives within the ML team.

Optasia is a cutting-edge B2B2X financial technology platform specializing in scoring, financial decision-making, disbursement, and collections. Our mission is to promote financial inclusion for everyone, and we pride ourselves on transforming the world in our own unique way.We are on the lookout for passionate and proactive professionals who are driven by results and possess a can-do attitude. Join a team of like-minded individuals dedicated to delivering innovative solutions in an exciting environment.We invite you to apply for the position of Data Engineer within our expanding Data Engineering team. In this role, you will design and implement highly scalable end-to-end batch and streaming data pipelines, contributing to the overall success of Optasia.Your responsibilities will include:Enhancing the scalability, stability, accuracy, speed, and efficiency of our existing data systems.Designing and developing end-to-end data processing pipelines.Navigating a diverse technology stack, including Scala, Spark, Python3, Bash/Python scripting, Hadoop, and SQL.Designing, constructing, testing, and deploying new libraries, frameworks, or complete systems while adhering to the highest standards of testing and code quality.Developing, maintaining, and optimizing core libraries for batch processing and large volume data ingestion into our big data infrastructure.Building and maintaining CI/CD orchestration.What we expect from you:Bachelor's or Master's degree in Computer Science or Informatics.A minimum of 2 years experience in Data Engineering.Proven experience in software/data engineering and/or operations/DevOps/DataOps.Familiarity with the Apache Hadoop ecosystem (YARN, HDFS, HBase, Spark).Hands-on experience with both relational and NoSQL databases.Proficient in systems administration with Linux.Experience in deploying, configuring, and maintaining distributed systems and data/software engineering tools.Your key attributes:Experience with fluid virtual infrastructures such as containers (e.g., Docker, Kubernetes).Familiarity with data and ML flow engines and tools, such as Apache Airflow.A strong passion for learning new technologies and collaborating with other creative professionals.Why you should join us:We offer a range of benefits including: Flexible hybrid working options Competitive remuneration package An extra day off on your birthday Performance-based bonus scheme‍ Comprehensive private healthcare insurance All the tech gear you need to work efficientlyExperience the Optasia perks: Join our multicultural working environment Engage with a unique and promising business and industry Gain insights into the future market landscape Enjoy a solid career path within our working family.

Work Model: Hybrid | Employment Type: Full-timeAt Accepted, we specialize in software and digital transformation services that empower clients to drive innovation across various sectors such as Finance, Energy, Gaming, Telco, and more. With over 20 years of engineering excellence, we pride ourselves on delivering outcome-focused solutions and cultivating high-performance teams that integrate seamlessly with your operations.We are on the lookout for an experienced Senior Machine Learning Engineer to enhance our hybrid delivery teams.Key ResponsibilitiesDesign, implement, and deploy machine learning solutions tailored for document-intensive environments, emphasizing automation and intelligent document processing;Develop and refine NLP and LLM-based applications for document comprehension, including classification, entity recognition, and semantic search;Construct and oversee comprehensive ML pipelines, covering data preprocessing, training, evaluation, deployment, and monitoring;Work on document ingestion and processing workflows involving PDFs, scanned documents, and unstructured data, facilitating metadata extraction and indexing;Implement and enhance RAG pipelines and LLM integrations for enterprise knowledge management systems;Collaborate closely with product, engineering, and business teams to convert document management and operational requirements into scalable ML solutions;Contribute to the design and ongoing development of internal AI platforms and automation workflows;Ensure the performance, scalability, and reliability of ML systems within production environments;Support experimentation, model optimization, and the continuous enhancement of ML solutions.

Optasia is a cutting-edge B2B2X financial technology platform focused on providing innovative solutions in scoring, financial decisioning, disbursement, and collection. We are dedicated to fostering financial inclusion for everyone and transforming the financial landscape.We are on the lookout for passionate and energetic professionals who are results-oriented and possess a can-do attitude. Join our vibrant team of like-minded individuals who are committed to delivering exceptional solutions in a dynamic and innovative environment.Data is the backbone of Optasia’s growth strategy, and our Data Engineering team plays a pivotal role in our success through data-driven decision-making and risk management. We ingest and process data from diverse sources into our expansive data lakehouses, utilizing state-of-the-art open-source big data technology stacks to create robust analytical pipelines.We are searching for a seasoned Senior Data Engineer – Team Leader to guide and motivate a team of two to three Data Engineers. In this role, you will blend hands-on expertise in constructing data infrastructure and pipelines with leadership responsibilities, empowering your team to produce high-quality, scalable, and dependable data solutions that advance Optasia’s objectives.Your ResponsibilitiesLead, mentor, and nurture a team of Data Engineers, promoting collaboration, technical excellence, and professional development.Provide technical guidance and expertise in data engineering, steering the team toward delivering high-quality, scalable data analytical pipelines.Assist in selecting, testing, and deploying data engineering tools, technologies, and methodologies.Design, construct, and enhance end-to-end batch and streaming data analytical pipelines.Develop, maintain, and evolve the organization’s big data infrastructure and core libraries for large-scale data ingestion and processing.Collaborate closely with Solution Architects, Data Assurance Engineers, ML Engineers, and System Administrators for the design, delivery, and support of comprehensive data workflows.Promote best practices in code quality, testing, CI/CD, and data governance, ensuring scalability, performance, and adherence to data protection regulations (e.g., GDPR).Oversee code reviews, align coding standards, and manage the configuration of the big data infrastructure.

Optasia is a B2B2X financial technology platform focused on scoring, financial decision-making, disbursement, and collection. The company’s mission centers on advancing financial inclusion worldwide and reshaping the financial sector through a distinct approach. Role Overview The Quantitative Risk Data Scientist will join the Credit Portfolio Optimization team in Athens. This position sits at the intersection of risk management, research, and technology, contributing to algorithmic trading and portfolio optimization projects. The role involves working alongside traders, big data experts, and machine learning engineers to support real-time decision-making and maintain strong system performance. What You Will Do Design and implement algorithmic solutions to maximize revenue through detailed credit risk analysis. Extract actionable insights on credit risk using advanced big data analytics. Develop tools and procedures for portfolio risk assessment to monitor and manage credit risk effectively. Conduct thorough risk analyses of microloans and other financial products, refining risk models to improve decision quality. Identify and evaluate credit risk factors by applying advanced computational techniques to large datasets. Build predictive models using statistical and machine learning methods to strengthen risk management strategies. Collaborate closely with data scientists and machine learning engineers. Continuously update risk assessment methods in response to changing market conditions. What We Look For Bachelor’s or Master’s degree in Data Science, Statistics, Finance, Mathematics, or a related discipline. 2-5 years of experience in quantitative risk analysis, preferably within financial services. Demonstrated skill in developing and applying algorithmic models for revenue and risk optimization. Strong background in statistical modeling and experience with machine learning models. Proficiency in Python or R, and hands-on experience with big data risk analytics. Track record of designing and deploying portfolio risk assessment tools. Excellent problem-solving skills and attention to detail when working with complex datasets. Key Attributes Sound judgment and strong analytical thinking. Self-driven, resourceful, and comfortable working independently.

Kiefer Tech is the technology division of Kiefer, drawing on over 12 years of engineering experience in the Green Energy field. The team designs and delivers AI, robotics, and enterprise solutions for clients throughout Greece and the European Union. Project work includes building sovereign AI infrastructure with a focus on data privacy, deploying enterprise automation, and developing Greece’s first production-ready Large Language Models. Kiefer Tech emphasizes technical quality, innovation, and long-term relationships with clients. The company has a strategic partnership with NVIDIA, which brings together sustainable infrastructure and advanced AI systems. This collaboration aims to support Greece’s technological independence and deliver real-world benefits across multiple industries.

Optasia is an innovative B2B2X financial technology platform dedicated to enhancing scoring, financial decision-making, disbursement, and collection processes. We are passionate about fostering financial inclusion globally and are on a mission to transform financial services.We are looking for energetic and enthusiastic professionals who are driven by results and possess a positive, can-do attitude. Join our team of like-minded individuals in an exciting and innovative environment. As a Software & Performance Engineer, you will play a crucial role in developing software solutions that address real-world challenges. You will be actively engaged in the full software development lifecycle, contributing to the design, coding, analysis, and documentation of application programs within the Spring Framework. Working closely with cross-functional teams, you will help evolve our products and implement modern technologies and methodologies for software development.

Optasia is a leading B2B2X financial technology platform dedicated to enhancing scoring, financial decision-making, disbursement, and collection processes. Our mission is to drive financial inclusion for everyone, and we are passionate about transforming the financial landscape.We are on the lookout for dynamic and motivated professionals who are results-oriented and possess a proactive mindset. Join a team of like-minded individuals who are innovating solutions in an exciting work environment. As a Senior Quantitative Risk Data Scientist, you will play a crucial role in Optasia's algorithmic trading and portfolio optimization unit. As part of the Credit Portfolio Optimization team, you will merge your expertise in risk management, research, and technology to implement trading strategies across various projects. You will utilize your insights and knowledge to make real-time critical decisions while collaborating with experienced traders, big data specialists, and machine learning engineers to optimize system performance.Your ResponsibilitiesDevelop and implement algorithmic solutions aimed at optimizing revenues through credit risk analysis.Generate credit-risk insights using advanced big data analytics.Create and execute portfolio risk assessment tools and procedures to effectively monitor and manage credit risk.Conduct in-depth risk analysis on microloans and other financial products, refining risk models to enhance decision-making processes.Identify and assess credit risk factors using sophisticated computational techniques on extensive datasets.Build predictive models, employing both statistical and machine learning methods, to bolster risk management strategies.Work collaboratively with fellow data scientists and machine learning engineers.Continuously enhance and refine risk assessment methodologies to keep pace with evolving market conditions.Mentor junior and mid-level quantitative analysts, fostering an environment of collaboration and knowledge sharing.Stay informed about industry trends, emerging technologies, and evolving methodologies to maintain best-in-class risk management practices.

At Optasia, we are pioneering a transformative B2B2X financial technology platform that encompasses scoring, financial decisioning, disbursement, and collection. Our mission is to promote financial inclusion for everyone. Join us as we revolutionize the industry.Since our establishment over ten years ago, we have emerged as a global frontrunner in the fintech sector, consistently enhancing our portfolio with innovative solutions and uncovering new monetization avenues for our partners and clients.As a vital part of the Systems Engineering team at Optasia, your key responsibility will be to guarantee the stability, security, and seamless operation of our Linux-based systems. This includes managing core platforms, supporting essential services, and ensuring optimal performance across both production and staging environments.Your ResponsibilitiesAdminister and maintain Linux systems (Red Hat and Debian) across production and staging environments.Execute regular patch management, system updates, and security enhancements.Oversee and monitor system performance utilizing Nagios, Grafana, and other relevant tools.Support and maintain applications such as Passbolt, DNS, FreeIPA, Radius, Jenkins, and Red Hat Satellite.Conduct incident management, troubleshooting, and root cause analysis to secure system reliability and uptime.Engage in operations and maintenance tasks as well as system improvement initiatives.Track and manage licenses, End of Support, and End of Life for Linux assets and software.Collaborate with cross-functional teams to bolster infrastructure and authentication services.Ensure precise documentation for configurations, changes, and operational procedures.Your Qualifications3-5 years of substantial experience as a Linux Systems Engineer or Administrator.Deep understanding of Red Hat Enterprise Linux and Debian administration.Proficient in FreeIPA, DNS, and Red Hat Satellite.Familiar with Nagios, Grafana, and Radius.Strong grasp of system patching, incident management, and operations & maintenance processes.Proficient in scripting or automation (Bash, Python, Ansible).Excellent documentation, communication, and collaboration abilities.Why You Should Join UsWe Offer: Competitive salary package Additional day off on your birthday Performance-related bonus scheme All the necessary tech to work efficientlyOptasia’s Benefits: Be part of a diverse and multicultural team Engage with a unique and promising business landscape Gain insights into the future of the marketOptasia’s Core Values #1 Drive to Thrive: Fully committed to continuous evolution. We embrace challenges and learning opportunities.

Join our dynamic team as a Senior Engineering Manager in the Fintech domain at efood, where you will be pivotal in developing a robust, scalable, and adaptive platform that underpins customer payments and internal financial operations.This is a high-impact leadership position within a critical business sector, overseeing the complete lifecycle of efood's payment and financial transaction processes. Your responsibilities will span from customer order payments through downstream operations, inclusive of refunds, cancellations, fraud checks, vendor payouts, reporting, and regulatory compliance. Your engineering expertise, leadership acumen, and ability to navigate a complex stakeholder landscape will be essential.You will collaborate closely with Product Managers, Finance stakeholders, Engineering leaders, C-level executives, and Delivery Hero teams to enhance operational efficiency, elevate technical standards, and support the growth of the domain as our business expands. Technical EnvironmentOur architecture employs microservices, with over 80 services managing high volumes of requests through both synchronous and event-driven communication.Our technology stack includes Golang, REST APIs, gRPC, Kubernetes, AWS, GCP, PostgreSQL, MongoDB, Redis, and messaging platforms like SNS, SQS, Kafka, and cloud messaging services.As part of the Delivery Hero group, we maintain close collaboration with their Global Services teams. Your Responsibilities:Lead the Fintech engineering domain, managing a hybrid team structure that includes an Engineering Manager and senior engineers, adapting the team layout as priorities evolve.Collaborate with Product Managers to drive the delivery of innovative payment capabilities and domain enhancements, while providing valuable technical insights, tradeoffs, and prioritization guidance.Engage with Finance stakeholders to optimize finance flows, minimize discrepancies, enhance automation, and clarify cross-team issues and dependencies.Provide technical leadership by guiding architectural and design decisions, mentoring engineers and managers, and raising the standard for engineering quality, ownership, and systems thinking.Ensure execution across multiple services and teams, managing dependencies with Delivery Hero services by maintaining clear priorities, surfacing risks early, and tracking progress, challenges, and outcomes.Assist the team in balancing feature delivery, system reliability, and technical enhancements, with hands-on involvement as needed to remove obstacles or support critical choices.Mentor and support the development of engineers and managers to foster their growth.

Satori Analytics builds data-driven AI solutions for clients in sectors such as fintech, airlines, FMCG, retail, manufacturing, and financial services. Headquartered in Athens, the company has a team of over 100 specialists, including Data Engineers and Data Scientists, who focus on delivering analytics that clarify business decisions. As a scale-up, Satori Analytics continues to grow its presence across South-Eastern Europe and beyond. Role overview The Senior MLOps Engineer will design and maintain the infrastructure required to bring machine learning models into production. This role ensures that models transition smoothly from experimentation to real-world deployment, supporting the reliability and scalability of AI solutions. Key responsibilities Develop and maintain infrastructure for deploying machine learning models at production scale, ensuring reliability and scalability. Build automated, reproducible ML pipelines for training, evaluation, deployment, and retraining, with strong version control practices. Package and serve models as production services across cloud, on-premise, or hybrid environments, focusing on performance and reliability. Monitor model performance, data drift, system health, and production signals to support retraining and troubleshooting. Collaborate with Data Scientists, AI Engineers, and Software Engineers to improve model testing, deployment, and maintenance processes. Contribute to standards for CI/CD, model registry, observability, security, and governance across ML projects. Support deployment and optimization of large language model (LLM) systems, including inference services and GPU resource management. Maintain strong access control, data governance, and operational resilience within ML deployments. Location This position is based in Athens, Attica, Greece.

Join Optasia, a pioneering B2B2X financial technology platform that is revolutionizing financial inclusion through advanced scoring, decision-making, disbursement, and collection solutions. We are dedicated to changing the world of finance for the better.At Optasia, we thrive on innovation, and we are looking for passionate individuals who are results-oriented and eager to collaborate in a dynamic team environment. Data is the backbone of our growth strategy, and the Data Engineering team plays a crucial role in driving data-driven automated decision-making processes.We invite you to become a part of our expanding Data Engineering team as a Junior Data Engineer. In this role, you will have the opportunity to design and implement robust batch and streaming data pipelines, significantly contributing to our mission.Your ResponsibilitiesCollaborate with Data Architects, Machine Learning Engineers, and Data Analysts to design, deliver, and support the company's ETL and ML pipelines.Develop and maintain essential libraries for batch processing and large-scale data ingestion.Create and implement new processes to facilitate real-time data streaming from various sources.Enhance the efficiency and accuracy of data injection into our big data infrastructure.Explore and apply innovative data engineering patterns and technologies.Your QualificationsBachelor's or Master's degree in Computer Science, Informatics, or a related field.Understanding of data modeling, mining, and warehousing methodologies.Proficiency in at least one programming language, preferably Java, Scala, or Python.Solid SQL skills.Strong analytical abilities with meticulous attention to detail.A genuine enthusiasm for learning new technologies and working collaboratively with creative professionals.Preferred QualificationsPractical experience with Big Data technologies (e.g., Apache Spark, YARN, HDFS, MapReduce).Experience with NoSQL databases.Familiarity with mathematical modeling, algorithm development, and machine learning.Why Optasia?What we offer: Flexible hybrid working environment Competitive salary package Additional day off on your birthday Performance-based bonuses‍ Comprehensive private health insurance All necessary tech gear to work efficientlyJoin our multicultural team at Optasia and be part of a unique and rewarding workplace!

Join Kaizen GamingAt Kaizen Gaming, we are at the forefront of the GameTech industry, operating in 20 markets and delivering exceptional entertainment experiences to millions of customers. Our team of over 2,700 professionals hails from more than 40 nationalities across three continents, making us a truly diverse and innovative workplace.We are proud to be recognized as one of the Best Workplaces in Europe, certified as a Great Place to Work in our offices. Here, every day is unique and filled with opportunities to grow. Are you ready to 'Press Play' on your potential?About the RoleAs the Data Science Team Lead, you will spearhead an AI product team dedicated to developing impactful AI solutions. Your role will involve analyzing data, designing machine learning models, and collaborating with technology teams to launch successful AI products.The ideal candidate will possess a robust understanding of machine learning algorithms, extensive experience in building production-ready ML/AI applications, and a proven track record of leading AI teams.Your ResponsibilitiesLead and manage a team of 5 to 7 talented data scientists and machine learning engineers.Translate product requirements into machine learning challenges while identifying key areas for AI-driven business impact.Conduct data analysis to uncover significant patterns and insights.Perform exploratory data analysis (EDA) and feature engineering to enhance the modeling process.Implement best practices in model selection, optimization, and tuning.Execute comparative experiments for model training.Evaluate various potential solutions through ML metrics analysis.Oversee the complete lifecycle of AI features, from data collection to design, implementation, and optimization in production environments.Mentor junior team members and guide the team through complex projects.

Optasia is a cutting-edge B2B2X financial technology platform specializing in scoring, financial decision-making, disbursement, and collection. Our mission is to promote financial inclusion for everyone. We are transforming the financial landscape in our unique way.We are on the lookout for passionate professionals who are energetic, results-oriented, and possess a can-do attitude. Join our dynamic team of innovators dedicated to delivering top-notch solutions in an exhilarating environment.As a vital member of the Systems Engineering team at Optasia, you will oversee the efficient provisioning, installation/configuration, operation, and maintenance of our systems hardware and software, along with associated infrastructure. Your contributions will include participating in technical research and development to foster ongoing innovation within our infrastructure. You will ensure compliance with organizational values by upholding high standards in system hardware, operating systems, software systems, and related procedures, thereby empowering staff, volunteers, and partners.

Optasia is a cutting-edge B2B2X financial technology platform focused on providing scoring, financial decisioning, disbursement, and collection services. Our mission is to promote financial inclusion for everyone. We are reshaping the financial landscape in our unique way.We are looking for passionate and energetic professionals who are results-oriented and possess a proactive mindset. Join our team of like-minded individuals dedicated to delivering innovative solutions in an exciting and dynamic environment.As an Integration Support Engineer (ISE), you will assess operational changes proposed by external systems integrated with Optasia, evaluate their technical impact, and create appropriate rollout strategies. You will also be responsible for ensuring that all new or existing projects meet the technical criteria necessary to initiate the System Integration Testing phase, collaborating closely with a Solutions Architect to ensure architectural alignment.This position is focused solely on integration readiness, excluding live production support, low-level solution design, software development, and the maintenance of test environments.Your ResponsibilitiesAssess change requests including platform upgrades, protocol migrations, and topology modifications by quantifying technical impacts and rollback risks, outlining mitigation strategies, and securing a consensus on rollout plans with both internal and external stakeholders. Engage with the Solutions Architect as needed for modifications to the solution design.Communicate configuration and development prerequisites that third-party systems must fulfill to achieve System Integration Testing readiness, collaborating directly with system owners.Conduct a targeted suite of HTTP-based API smoke tests (REST, SOAP, RPC, etc.), troubleshoot any anomalies, and escalate unresolved issues to third-party counterparts and the Solutions Architect.Develop Integration Acceptance Testing (IAT) test cases for execution by Optasia developers, guided by the Solutions Architect.Maintain transparency and traceability by updating Jira and Confluence records for change requests and SIT preparations.Foster continuous improvement by converting lessons learned into reusable templates, including change request assessments, SIT readiness checklists, and smoke test scripts, to standardize future integrations.Transition smoothly to an Associate Solution Architect role once you demonstrate proficiency in design and business insight.

Are you enthusiastic about artificial intelligence? At Satori Analytics, we are on a mission to revolutionize the world, one algorithm at a time, by empowering global brands through Data and AI. Our innovative solutions span the entire data lifecycle, from cloud-based ecosystems for fintech to predictive models for airlines. As a rapidly expanding scale-up with a team of over 100 tech specialists—including Data Engineers, Data Scientists, and more—we provide cutting-edge analytics solutions across various sectors, including FMCG, retail, manufacturing, and financial services. Join us as we spearhead the data revolution in South-Eastern Europe and beyond! Your Daily Responsibilities: Explore diverse data sources, analyze them, and evaluate their influence on business outcomes. Develop and optimize Data Science pipelines, balancing performance, business objectives, and model complexity. Design and maintain machine learning pipelines, encompassing data cleaning, transformation, model evaluation, hyperparameter tuning, and deployment. Investigate emerging technologies, platforms, and industry best practices to identify innovative opportunities. Contribute to the advancement of our Data Analytics platform, particularly in Machine Learning and MLOps capabilities.