We're thrilled to unveil a unique opportunity in collaboration with a global leader in the IT sector. Committed to delivering cutting-edge solutions, our esteemed client is seeking talented individuals to join their innovative team, and we're here to guide you through the application process.

Our client's Innovation Team is pioneering disruptive AI-driven products for consumers in real estate and mortgage finance, leveraging their extensive data and technology ecosystem. They are in search of an MLOps Engineer with experience in collaborating with Data Scientists to ensure seamless model deployment from development to production. Test. Deploy. Maintain. Monitor. The possibilities to contribute to groundbreaking projects across ML, traditional AI, and GenAI are boundless. You'll collaborate closely with scientists, engineers, and IT experts to spearhead CI/CD pipelines and automation for their AI/ML service delivery lifecycle. Your proficiency in Python, shell scripts, SageMaker, IaaC (Ansible, Terraform), CI tools, Docker, Kubernetes, and similar tools will drive efficiency and performance. As a pivotal member of their team, you'll tackle operational challenges across all layers of the system infrastructure and implement essential tools like Spark, Databricks, Snowflake, Kubernetes, and Kafka for data science infrastructure. They believe in your potential to make significant contributions within months and advance your career with our client.

Embark on this thrilling journey where you'll play a crucial role in configuring and maintaining systems, developing automation, and bolstering infrastructure security. As a self-motivated team player, you'll thrive in their collaborative work environment. Seize the opportunity to be part of groundbreaking projects, and let your career flourish with competitive compensation, generous paid time off, and a supportive work culture that values diversity and inclusion. Your future begins here—apply now and join them on their impactful journey.

Key Responsibilities:

• Collaborate with seniors, Data Engineering, and IT teams to implement MLOps for AI/ML infrastructure and SaaS API services.
• Develop automation for CI/CD and SaaS API delivery across AWS, Azure, Elastic, and Snowflake.
• Configure and maintain systems such as Kubernetes, Kafka, Spark, Elastic, Bitbucket/GitLab, Nexus, and Jenkins.
• Proficient with Python, Git, shell scripts, Ansible, Docker, and Terraform.
• Establish dashboarding, observability, and alerts using tools like Prometheus and Grafana.
• Enhance infrastructure security through IAM configuration and least permissions.
• Identify and automate manual processes.

Requirements:

• Collaborate effectively with senior team members, Data Engineering, and IT teams to implement MLOps strategies for AI/ML infrastructure and SaaS API services.
• Develop robust automation solutions for continuous integration and continuous delivery (CI/CD) pipelines and SaaS API deployment across cloud platforms such as AWS, Azure, Elastic, and Snowflake.
• Configure, optimize, and maintain complex systems including Kubernetes, Kafka, Spark, Elastic, Bitbucket/GitLab, Nexus, and Jenkins to support AI/ML workflows and data processing pipelines.
• Demonstrate proficiency in programming languages such as Python, shell scripting, along with hands-on experience in tools like Ansible, Docker, and Terraform.
• Establish comprehensive monitoring, dashboarding, and alerting systems using industry-standard tools like Prometheus, Grafana, and others to ensure system reliability and performance.
• Enhance infrastructure security by implementing robust IAM configurations, adhering to least privilege principles, and ensuring compliance with security standards and best practices.
• Identify manual processes and opportunities for automation, developing scalable solutions to streamline operational workflows and increase efficiency.

Qualifications:

• Bachelor’s Degree in Computer Science or related field required; advanced degree (e.g., Master’s or Ph.D.) preferred.
• Minimum of 1-3 years of hands-on experience in MLOps or related roles, with a strong understanding of machine learning lifecycle management and deployment best practices.
• Demonstrated ability to work independently and collaboratively in a fast-paced, Agile environment, with a proven track record of delivering high-quality solutions on time and within budget.
• Excellent communication skills, with the ability to effectively bridge the gap between technical and non-technical stakeholders, including data scientists, engineers, and external IT infrastructure teams.
• Bonus: Experience with stress testing and scaling systems, particularly in high-volume production environments, along with a solid understanding of cloud-native architectures and microservices design principles.

Benefits:

• Competitive compensation package
• Supportive work culture promoting diversity and inclusion
• Opportunities for professional development and career advancement
• Access to cutting-edge technology and tools for innovation
• Hybrid work environment with flexibility for remote work
• Comprehensive healthcare benefits and wellness programs

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‍Please note that this job opportunity is presented by Radar Roster, in collaboration with our client. All applications will be processed through our platform. As our client's trusted partner, we specialize in connecting top talent with exceptional professional opportunities. Your application will be treated with the utmost confidentiality and professionalism.‍