Qureos Mentor

Synapse Analytics

<div><ul><li>Work with stakeholders throughout the organization to identify opportunities for leveraging company data to drive business solutions</li><li>
Mine and analyze data from client databases to drive optimization and improvement of product development, marketing techniques and business strategies</li><li>
Build, optimize and maintain machine learning models</li><li>
Assess &ldquo;health&rdquo; of new data sources and soundness of data gathering techniques employed by the client</li><li>
Process, clean, and verify the integrity of data used for analysis</li><li>
Perform ad-hoc analysis and present results in a clear manner</li></ul><ul><li><br>
Experience in one or more of the following programming languages: Python, R, MATLAB, Julia</li><li>Experience in data wrangling of (messy) datasets using pandas or dplyr</li><li>Experience in exploratory data analysis</li><li>Experience in data visualization using one or more of the following packages/tools:</li></ul>
seaborn, matplotlib, plotly, ggplot, Tableau<br>
<ul><li>Knowledge of machine learning techniques and algorithms such as K-nearest</li></ul>
neighbors, naive bayes, support vector machines, random forest, logistic regression, etc.<br>
<ul><li>Awareness of machine learning concepts such as over-fitting and under-fitting, the difference between bias and variance, generalization capability of the prediction model to unseen data, feature engineering, etc.</li><li>Excellent written and verbal communication skills for coordinating across teams</li><li>A drive to learn and master new technologies and techniques</li></ul><p></p><div><b>
Bonus Points</b><br>
<ul><li>A Masters or PhD degree in a relevant discipline</li><li>Data engineering experience; e.g., SQL, Hadoop, Spark, cloud computing</li><li>Competitive programming experience (e.g., ACM, Topcoder, Code Forces, etc.)</li><li>Experience participating in machine learning competitions (e.g., Kaggle, Hacker Earth, etc.)</li><li>Strong statistics background</li><li>An up-to-date portfolio (on GitHub?) showing your experience in all of the above!</li></ul></div></div>

Senior Data Scientist

<div><p>We are seeking a talented Product Owner to join our Product department at Synapse Analytics, for Azka Vision specifically.</p><p>
As the Product Owner for Azka Vision, you will have a pivotal role in shaping the vision and strategy for this cutting-edge product.</p><p></p><p>
Key Responsibilities:</p><ul><li>
Collaborate with key stakeholders to define and refine the product vision and roadmap.</li><li>
Work closely with the development team to prioritize features and enhancements based on business objectives.</li><li>
Translate requirements to clear and concise user stories.</li><li>
Gather and analyze feedback from users to drive continuous product improvement and enhance user experience</li><li>
Ensure the timely delivery of high-quality features that align with customer needs and expectations</li><li>
Monitor market trends and competitive landscape to identify opportunities for product growth and differentiation</li><li>
Participate in agile ceremonies such as Daily Standups, Sprint Planning, Sprint Reviews and Sprint Retrospectives.</li><li>
Manage and keep track of technical and commercial KPIs.</li><li>
Attend business development meetings and product demos.</li><li>
Assess external partnership opportunities.</li></ul><ul><li>
Bachelor or masters degree in Computer Science/Computer Engineering, or equivalent work experience.</li><li>
Minimum of 2 years of experience in a product management or product owner role</li><li>
Demonstrated ability to lead cross-functional teams and drive product development</li><li>
Strong understanding of Agile methodologies and experience with Agile tools</li><li>
Excellent communication skills with the ability to collaborate with stakeholders at all levels</li><li>
Proven track record of delivering successful products to market</li><li>
Experience in defining product vision, strategy, and roadmap</li><li>
Ability to prioritize and manage multiple projects simultaneously</li><li>
Analytical mindset with a focus on data-driven decision-making</li><li>
Experience working with Atlassian's Jira and/or any product management tool.</li><li>
Basic understanding of machine learning is a plus.</li></ul></div>

Product Owner - Azka Vision

<div><ul><li>Partner with Account Executives to conduct discovery calls, identifying client technical requirements, pain points, and business objectives.</li><li>
Deliver high-impact technical presentations and product demonstrations tailored to various audiences, from Data Scientists to C-level executives.</li><li>
Design high-level solution architectures that demonstrate how Synapse products will integrate with the client&rsquo;s existing stack (Cloud, On-Premise, or Hybrid).</li><li>
Lead the scoping, execution, and presentation of Proof of Concepts (POCs) to demonstrate value and technical feasibility.</li><li>
Respond to technical sections of RFPs (Request for Proposals) and RFIs, ensuring accurate and compliant answers regarding security, architecture, and scalability.</li><li>
Act as the &quot;voice of the customer&quot; back to the Product and Engineering teams, providing feedback on feature requests and market trends.</li><li>
Address technical objections regarding security, deployment models (Docker/Kubernetes), and model performance capabilities.</li><li>
Visit client premises for critical pitches, workshops, and technical deep-dive sessions.</li></ul><ul><li>
Bachelor's degree in Computer Science, Engineering, or a related field.</li><li>
2+ years of experience in a technical role (Software Engineering, Data Science, DevOps) or as a Solutions/Sales Engineer.</li><li>
Strong understanding of the Machine Learning lifecycle and familiarity with Python/Data Science concepts.</li><li>
Solid understanding of Enterprise Infrastructure (Cloud vs. On-Premise, Docker, Kubernetes) and networking fundamentals.</li><li>
Ability to explain complex technical concepts (e.g., how an AI model is served via API) to non-technical stakeholders.</li><li>
Experience with Python and SQL to build custom demos or manipulate data during POCs.</li><li>
Excellent presentation and public speaking skills.</li><li>
Ability to think on your feet and troubleshoot technical issues during live demonstrations.</li><li>
Willingness and ability to visit client sites for meetings and workshops.</li><li>
Knowledge of enterprise security standards (LDAP, SSO, Encryption) is a strong plus.</li></ul></div>

Presales Engineer

<div><ul><li>Define and champion the long-term Quality Assurance vision and strategy, ensuring it aligns with the company&rsquo;s engineering and business goals.</li><li>
Oversee the quality lifecycle for multiple product lines, balancing resource allocation and release timelines.</li><li>
Standardize testing methodologies, metrics, and tools across all teams to ensure consistency and efficiency.</li><li>
Collaborate with the Head of Engineering and Product to define quality gates and release criteria.</li><li>
Establish and track key quality metrics (e.g., Defect Escape Rate, Test Coverage, Cycle Time) to identify areas for process improvement.</li><li>
Provide advanced mentorship to Senior QA Engineers and foster a culture of technical excellence and continuous learning.</li><li>
Lead the strategy for non-functional testing, including Security (OWASP), Performance, and Reliability testing across the organization.</li><li>
Lead efforts to prevent major business risks through proactive risk analysis and management during the release process.</li><li>
Communicate quality status, risks, and strategic decisions effectively to senior leadership and non-technical stakeholders.</li></ul><ul><li>
Bachelor&rsquo;s degree in Computer Science, Engineering, or a related field.</li><li>
6+ years of experience in Quality Assurance, with a significant amount of time in a lead or management role.</li><li>
Proven ability to define QA strategy for complex, enterprise-grade software products.</li><li>
Deep expertise in automation architectures, CI/CD strategies, and modern testing stacks.</li><li>
Experience managing high-performing QA teams, conducting performance reviews, and hiring.</li><li>
Exceptional ability to assess risk and make critical go/no-go release decisions under pressure.</li><li>
Understanding of the specific challenges regarding testing AI models and Big Data applications is a strong plus.</li><li>
Excellent leadership, communication (both written and verbal), and conflict resolution skills.</li><li>
Experience leading complex migrations or establishing QA processes in greenfield environments.</li></ul></div>

Lead QA Engineer

<div><ul><li>Lead the deployment and orchestration of applications on client infrastructure, specializing in On-Premise and Air-Gapped environments using Docker and Kubernetes.</li><li>
Regularly visit client premises to lead deployment workshops, perform installations, and resolve critical site-specific technical issues.</li><li>
Design and develop complex integration flows to connect Synapse products with external legacy systems, proprietary databases, and third-party enterprise software.</li><li>
Consult clients on ideal infrastructure requirements, network security configurations, and data integration strategies.</li><li>
Troubleshoot complex networking issues (Firewalls, VPNs, Proxies, Load Balancers) within restricted client environments.</li><li>
Collaborate closely with data scientists to ensure models are packaged and exposed correctly via robust APIs.</li><li>
Implement strong security protocols (SSL/TLS, Encryption, Authentication) to meet strict client compliance standards.</li><li>
Lead code reviews and provide technical guidance to junior integration engineers regarding deployment best practices.</li><li>
Participate in a rotational on-call schedule to provide 24/7 support for critical production environments and promptly resolve urgent client-facing integration and deployment issues.</li></ul><ul><li>
Bachelor's degree in Computer Science, Engineering, or a related field, or equivalent work experience.</li><li>
2-4 years of experience in Systems Integration, DevOps, or Backend Development.</li><li>
Strong proficiency in Python and experience building APIs (Django/FastAPI).</li><li>
Strong experience with Docker and Orchestration tools like Kubernetes (experience with on-prem distros like RKE2/OpenShift is a plus).</li><li>
Strong understanding of Networking (Firewalls, Load Balancing, VPNs) and ability to troubleshoot connectivity in restrictive enterprise environments.</li><li>
Strong knowledge of the Linux operating system, including shell scripting and system configuration.</li><li>
Proven experience integrating with external systems (e.g., ERPs, SOAP/REST APIs, Oracle/SQL Server databases).</li><li>
Strong knowledge of Security concepts (Network Security, Certificate management, Cryptography).</li><li>
Willingness and ability to visit client sites and lead on-site technical engagements.</li><li>
Excellent troubleshooting skills for resolving ambiguous integration problems under pressure.</li><li>
Excellent communication skills with experience consulting external clients on technical problems.</li></ul></div>

Integration Engineer II

<div><ul><li>Develop and deploy complex software for our current AI products and technologies, with a strong focus on Python and the Django/Django Rest Framework.</li><li>
Collaborate closely with data scientists, business analysts, and project managers to design and create comprehensive software solutions.</li><li>
Maintain and support our current backend projects, proactively identifying areas for improvement and optimization.</li><li>
Create comprehensive unit, functional, and automation testing for the developed software, ensuring high code quality and reliability.</li><li>
Analyze and deeply understand complex business requirements, breaking them down into detailed, actionable development scenarios.</li><li>
Research and stay up-to-date with the latest software technologies, actively evaluating and choosing the right technology for each product and project.</li><li>
Work effectively and contribute to process improvements in a fast-paced agile environment.</li><li>
Work with and enhance our current software development life cycle, including contributing to DevOps concepts such as continuous integration and automated testing.</li><li>
Collaborate and integrate seamlessly with frontend developers and other team members, ensuring robust end-to-end solutions.</li></ul><ul><li>
BS/BA, MS or PhD in Computer Science or equivalent work experience.</li><li>
Excellent knowledge in Python.</li><li>
Excellent knowledge in Django/Django Rest Framework.</li><li>
Expertise in building highly scalable and robust RESTful APIs.</li><li>
Excellent knowledge of UNIX/Linux environments.</li><li>
Solid understanding of TCP/IP, Network Programming, and Operating Systems.</li><li>
In-depth knowledge and experience with designing and implementing DevOps concepts such as continuous integration and automated testing.</li><li>
In-depth knowledge of relational database concepts and extensive experience writing complex SQL queries and optimizing database interactions.</li><li>
Strong knowledge of Application Security (TLS/SSL/HTTPS) best practices.</li><li>
Excellent experience in using Git for collaborative development.</li><li>
Excellent experience in using Docker for containerization and local development.</li><li>
Experience in Machine Learning concepts is a plus.</li></ul></div>

Backend Engineer II

Join Synapse Analytics and explore 6   exciting career opportunities. They're hiring for various roles with options for remote or on-site work. Apply today and become part of their innovative team.