Jobs and Careers
CO
Machine Learning Operations Engineer 2
Constellation TechnologiesUnited Statesfull_timeVerifiedPosted 13 Oct 2023
About the role
About us: Mission Driven, Employee Focused At CTI, you’ll be at the center of an award-winning corporate culture, breaking technological barriers and solving real-world problems for our federal government customers. We are committed to hiring the best of the best, and in return, we offer a world-class, truly unique employee experience that is rare within our industry. If you’re a technical changemaker with a passion for Cyber Operations, Cloud and Data Analytics, or Engineering, we’re looking for you! Love what you do AND where you work - alongside a supportive, innovative team of like-minded individuals. After all, we know that your best work happens when you live your best life, and we do everything we can to make that possible. Are you ready for your best career move?
Due to Federal contract requirements, US citizenship is required for this position.
The Day-to-Day: Leverage your in-depth knowledge of NVIDIA Triton to design and manage scalable and high-performance inference pipelines in a production, enterprise system. Collaborate with data scientists and software engineers to deploy machine learning models, ensuring optimal performance, resource utilization, and cost tracking and savings. Architect and implement solutions to scale machine learning inference to handle large workloads efficiently. Monitor and fine-tune model inference for optimal speed and resource utilization. Implement automation tools and processes for model deployment, monitoring, and scaling. Develop robust monitoring and logging solutions to track model performance, system health, and data quality in real-time. Help implement security best practices to protect machine learning models and data. Maintain detailed documentation of machine learning operations processes and best practices. Work closely with a cross-functional Product team to understand business requirements and translate them into technical solutions. Provide technical support for debugging and resolving issues related to model deployment and inference.
• Affordable healthcare options with 80% employer paid premium PLUS a company-funded HSA• Dental insurance with 100% employer paid premium• Vision with 80% employer paid premium• 100% employer paid Life insurance• 100% employer paid Short-term and Long-term disability • Annual training, continued education, and professional memberships reimbursement• Unlimited access to Red Hat Enterprise Linux, AWS, and NetApp training and accreditation• Annual reimbursement for phone and internet services• Annual reimbursement for technology i.e. phones, computers, printers, etc.• 401(k) with company match up to 5% with 100% immediate vesting (after 90 days of employment)
The environment and perks:
• Professional development investment and paid time off for training• Contract and work locations in Maryland, Virginia, Colorado, Texas, California, Florida and Hawaii.• Team building events throughout the year such as Destination Family Events, Holiday Party, Monthly Get-Togethers• Leadership Team engagement and mentorship• Performance Recognition• Unlimited complimentary branded apparel
Don't see a job opening that's the perfect fit? Apply to our General Position to join our talent pool for consideration for future or potentially unlisted opportunities.
Know someone else who may be a good fit? Refer them through the CTI External Referral Program and you could receive a one-time referral bonus of up to $10,000! Email cti-staffing@ct
Due to Federal contract requirements, US citizenship is required for this position.
The Day-to-Day: Leverage your in-depth knowledge of NVIDIA Triton to design and manage scalable and high-performance inference pipelines in a production, enterprise system. Collaborate with data scientists and software engineers to deploy machine learning models, ensuring optimal performance, resource utilization, and cost tracking and savings. Architect and implement solutions to scale machine learning inference to handle large workloads efficiently. Monitor and fine-tune model inference for optimal speed and resource utilization. Implement automation tools and processes for model deployment, monitoring, and scaling. Develop robust monitoring and logging solutions to track model performance, system health, and data quality in real-time. Help implement security best practices to protect machine learning models and data. Maintain detailed documentation of machine learning operations processes and best practices. Work closely with a cross-functional Product team to understand business requirements and translate them into technical solutions. Provide technical support for debugging and resolving issues related to model deployment and inference.
Basic Qualifications:
- Bachelor's or Master's degree in Computer Science, Software Engineering, or a related field.
- Proven experience (3+ years) as a Machine Learning Operations Engineer with a focus on NVIDIA Triton.
- Experience with other MLOps tools and platforms
- Strong programming skills in Python.
- Familiarity with machine learning frameworks like TensorFlow or PyTorch.
- Experience with GPU hardware and optimization for deep learning workloads.
- Strong problem-solving skills and the ability to work effectively in a collaborative team environment.
- Excellent communication skills and the ability to convey technical concepts to both technical and non-technical stakeholders.
- Solutions Architect Associate credential or other Associate (In Progress acceptable)
Preferred Qualifications (desired not required):
- Proficiency in containerization technologies and orchestration tools (e.g., Docker, AWS Fargate, Amazon Elastic Container Service, AWS Elastic Kubernetes Service).
- Knowledge of DevOps practices and continuous integration/continuous deployment (CI/CD) pipelines
- Familiarity with the AWS cloud platform
- Previous experience in the deployment of machine learning models in production environments.
• Affordable healthcare options with 80% employer paid premium PLUS a company-funded HSA• Dental insurance with 100% employer paid premium• Vision with 80% employer paid premium• 100% employer paid Life insurance• 100% employer paid Short-term and Long-term disability • Annual training, continued education, and professional memberships reimbursement• Unlimited access to Red Hat Enterprise Linux, AWS, and NetApp training and accreditation• Annual reimbursement for phone and internet services• Annual reimbursement for technology i.e. phones, computers, printers, etc.• 401(k) with company match up to 5% with 100% immediate vesting (after 90 days of employment)
The environment and perks:
• Professional development investment and paid time off for training• Contract and work locations in Maryland, Virginia, Colorado, Texas, California, Florida and Hawaii.• Team building events throughout the year such as Destination Family Events, Holiday Party, Monthly Get-Togethers• Leadership Team engagement and mentorship• Performance Recognition• Unlimited complimentary branded apparel
Don't see a job opening that's the perfect fit? Apply to our General Position to join our talent pool for consideration for future or potentially unlisted opportunities.
Know someone else who may be a good fit? Refer them through the CTI External Referral Program and you could receive a one-time referral bonus of up to $10,000! Email cti-staffing@ct
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