Qureos Mentor

Finaira

<div>
 
 The MLOps Engineer II will independently design, implement, and manage the automation and streamlining of the machine learning lifecycle, ensuring reliable, efficient, and scalable deployment and monitoring of models. This role requires a solid understanding of DevOps practices, cloud technologies, and machine learning frameworks, with the ability to bridge the gap between data science and operations effectively.
 
 
 
 Focus:
 
 Independent automation of ML pipelines, deployment strategies, and monitoring in production.
 
 
 
 
 
 
 
 The difference you will make
 
 
 
 :&bull; Independently design and implement CI/CD pipelines for machine learning models
 
 
 .&bull; Automate the process of model training, validation, testing, and deployment using relevant tools. &bull; Develop and maintain automated testing frameworks for machine learning models
 
 
 .&bull; Develop and manage various model deployment strategies (e.g., A/B testing, canary deployments)
 
 
 .&bull; Build and maintain scalable and reliable infrastructure for model serving (e.g., using Kubernetes, serverless functions)
 
 
 .&bull; Implement and manage model versioning and rollback mechanisms
 
 
 .&bull; Optimize model serving for latency, throughput, and resource utilization
 
 
 .&bull; Implement and manage comprehensive monitoring and logging systems to track model performance and identify issues (e.g., model drift, data drift)
 
 
 .&bull; Set up and manage alerting systems to notify the team of performance degradation
 
 
 .&bull; Contribute to the development and implementation of model governance policies and procedures
 
 
 .&bull; Ensure compliance with security and privacy requirements
 
 
 .&bull; Collaborate effectively with data scientists to understand model requirements and dependencies. &bull; Work with software engineers to integrate machine learning models into applications and services
 
 
 .&bull; Develop and maintain APIs and interfaces for model access
 
 
 
 
 
 
 .
 
 What you will bring to the rol
 
 
 
 
 e:Educatio
 
 
 <ul>
 <li>
 n:Bachelor's degree in Computer Science, Engineering, or a related fiel
 </li>
 </ul>
 
 
 
 
 
 d.
 
 Experien
 
 
 <ul>
 <li>
 ce:3+ years of experience in DevOps, software engineering, or a related role with a focus on machine learning deployment and operations. Proven experience with cloud platforms and containerization technologies. Experience in the financial services industry is a pl
 </li>
 </ul>
 
 
 
 
 
 us.
 
 Technical Skil
 
 
 <ul>
 <li>
 ls: Strong proficiency in DevOps practices and tools (e.g., Jenkins, GitLab CI, Docker, Kubernet
 </li>
 <li>
 es).Solid knowledge of cloud computing platforms (e.g., AWS, Azure, GCP) and their machine learning servi
 </li>
 <li>
 ces.Knowledge of MLflow or Kubeflow for model management, or simi
 </li>
 <li>
 lar.Familiarity with machine learning frameworks (e.g., TensorFlow, PyTorch, scikit-lea
 </li>
 <li>
 rn).Strong experience with scripting and automation (e.g., Python, Ba
 </li>
 <li>
 sh).Solid understanding of software engineering principles and best practi
 </li>
 <li>
 ces.Experience with infrastructure as code (IaC) tools (e.g., Terraform, CloudFormati
 </li>
 </ul>
 
 
 
 
 
 on).
 
 Soft Sk
 
 
 <ul>
 <li>
 ills:Strong ownership and accountability for assigned
 </li>
 <li>
 work.Excellent communication, interpersonal, and conflict resolution sk
 </li>
 <li>
 ills.Effective time management and task prioritiza
 </li>
 <li>
 tion.Analytical thinking and problem-solving sk
 </li>
 <li>
 ills.Ability to work independently and collaborate with teams within and across funct
 </li>
 <li>
 ions.Ability to actively listen to customers and accurately understand their needs, expectations, and challe
 </li>
 <li>
 nges.Adaptability and learning agility in a fast-paced environ
 </li>
 <li>
 ment.Strong attention to detail and a commitment to qua
 </li>
 <li>
 lity.Receptiveness to feedback and continuous improvement min
 </li>
 </ul>
 
 
 
 dset.
</div>

MLOps Engineer II

<div>The Technical Solution Architect is responsible for designing and implementing scalable, secure, and high-performing technology solutions that meet business and technical requirements. This role focuses on translating business needs into technical architecture, supporting development teams in delivering reliable systems, and ensuring alignment with established architectural standards and best practices. The architect will work closely with engineering, product, and infrastructure teams to design solutions using modern architectural approaches such as Microservices, DevOps practices, and cloud-based environments (Azure/AWS), ensuring solutions are efficient, secure, and maintainable.
The difference you will make:<ul><li>
Design and implement scalable and reliable technical solutions aligned with business requirements and organizational architecture standards.</li><li>
Collaborate with product, engineering, and infrastructure teams to translate functional requirements into technical architecture and solution designs.
</li><li>Contribute to the design of modern architecture patterns, including Microservices architecture, Event-driven architecture, and Distributed systems.
</li><li>Support technology evaluations and recommend tools, frameworks, and integration approaches that enhance system performance and scalability.
</li><li>Develop and maintain architectural documentation including solution diagrams, integration flows, and technical specifications.
</li><li>Ensure solutions follow security best practices, including authentication and authorization models such as OAuth2, JWT, and RBAC.
</li><li>Support development teams by providing technical guidance on architecture implementation and DevOps practices.</li><li>
Participate in architectural reviews and ensure adherence to architectural standards, performance considerations, and reliability principles.</li><li>
Contribute to data-related design decisions including data integration, data access patterns, and database architecture (RDBMS, ETL/ELT processes).</li><li>
Stay updated with emerging technologies and industry trends to continuously improve system design and delivery.</li></ul> 
Requirements 
What you will bring to the role:
Education: Bachelor&rsquo;s degree in Computer Science, Information Systems, or a related field.
Experience:
<ul><li>7+ years of experience in software engineering, system design, or solution architecture with proven experience designing and implementing scalable systems.
</li><li>Experience in FinTech, banking, or financial services environments is highly preferred, including familiarity with systems such as payment gateways, digital banking platforms, or financial integrations.</li></ul>
Technical skills:<ul><li>
Solid understanding of Sftware Architecture Patterns (Microservices, Event-Driven Architecture, Distributed Systems).</li><li>
Experience with Integration Patterns (REST APIs, messaging systems such as Kafka).</li><li>
Familiarity with DevOps practices and tools (CI/CD pipelines, monitoring and observability tools).
</li><li>Experience with Cloud platforms (Azure or AWS) and containerization technologies (Docker, Kubernetes).
</li><li>Understanding of Security Architecture fundamentals, including authentication, authorization, and secure development practices. o Experience in API design and management (REST APIs, API Gateway).</li><li>
Knowledge of resilience and high availability principles (load balancing, fault tolerance).</li><li>
Understanding of Data Architecture concepts, including data pipelines, ETL/ELT, and relational databases.
</li><li>Good modeling and documentation skills for creating system architecture and integration diagrams.</li><li>
Ability to collaborate effectively with cross-functional teams and communicate technical concepts to both technical and non-technical stakeholders.</li><li>
Continuous learning mindset and interest in emerging technologies</li></ul>
Soft Skills:
<ul><li>Strong ownership and accountability for assigned work.</li><li>
Excellent communication, interpersonal, and conflict resolution skills.</li><li>
Effective time management and task prioritization.
</li><li>Analytical thinking and problem-solving skills.
</li><li>Ability to work independently and collaborate with teams within and across functions.</li><li>
Ability to actively listen to customers and accurately understand their needs, expectations, and challenges.
</li><li>Adaptability and learning agility in a fast-paced environment.
</li><li>Strong attention to detail and a commitment to quality.
</li><li>Receptiveness to feedback and continuous improvement mindset</li></ul></div>

Technical Solutions Architect

Join Finaira and explore 2   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.

Finaira

About Company

MLOps Engineer II

Technical Solutions Architect