Ml Ops Engineer
7 days ago
ABSC's ML Ops Engineer position requires an individual with a deep understanding of operating systems, hardware, and extensive knowledge of the ML Ops industry, particularly in the context of Linux-based systems. As a ML Ops Engineer, you will play a pivotal role in designing, developing, and optimizing ML Ops for various applications, with a strong emphasis on seamless integration with operating systems and hardware. Your expertise will contribute to advancing ML Ops technology and its efficient utilization in diverse fields. This is a 100% on-site position. All work must be performed at the customer site in Bethesda at the Intelligence Community Campus.
Have impact as part of a mission-focused, solutions-oriented, and adaptive team that values innovation, collaboration, and professional development. If you are ready to join ABSC in enabling DIA's NMEC to provide critical and unique capabilities to the Intelligence Community, apply today
Responsibilities include, but are not limited to: As an integral member of the team, you will work closely with DTP system architects, systems, software and test engineers on the following key tasks. ML Ops Architecture and Design: Collaborate with a multidisciplinary team to define, develop, and optimize ML Ops architectures, ensuring they meet stringent performance, power efficiency, and feature requirements. Leverage industry insights to drive design decisions. Ensure that ML Ops designs and integrations are not only optimized for Linux but are also adaptable to other operating systems. Operating System Integration: Work closely with operating system developers to ensure smooth ML Ops integration with Linux-based systems. Optimize ML Ops drivers for compatibility, performance, and reliability in a Linux environment. Provide regular maintenance and updates to ensure continued compatibility. Hardware Expertise: Contribute to the design and development of ML Ops hardware, providing insights into hardware architecture to ensure efficient interaction with software components. Maintain and update hardware designs as needed. CUDA (Compute Unified Device Architecture) /OpenCL (Open Computing Language) Programming: Develop and optimize applications using CUDA or OpenCL, harnessing the full potential of GPU hardware for parallel processing, high-performance computing, and machine learning on Linux platforms. Maintain and update software for optimal performance. Performance Analysis: Analyze ML Ops performance, identify bottlenecks, and develop strategies to enhance performance across various applications in Linux, addressing both hardware and software considerations. Regularly monitor and improve performance. ML Ops Tooling: Create and maintain debugging tools, profiling utilities, and performance analysis software tailored for Linux systems to facilitate efficient ML Ops development and troubleshooting. Keep tools up-to-date and functional. Power Efficiency: Work on power management techniques to optimize ML Ops power consumption, ensuring efficient operation on both mobile and desktop Linux platforms. Continuously assess and enhance power efficiency strategies. Testing and Validation: Design and execute tests to validate ML Ops performance and functionality on Linux, including stress testing, benchmarking, and debugging to ensure robust operation. Maintain and expand the testing suite. Documentation: Maintain comprehensive technical documentation, including architectural specifications, code documentation, and Linux-specific best practices for ML Ops development. Keep documentation up-to-date with changes and improvements. Industry Insight: Stay updated on the latest trends, innovations, and competitive landscapes within the ML Ops industry, contributing to research efforts and proposing Linux-specific approaches to ML Ops design and optimization. Share regular updates and insights with the team. Experience and education required for this role: Bachelor's or higher degree in Computer Science, Electrical Engineering, or a related field. Additional years of experience may be considered in lieu of a degree. 10+ years of relevant systems engineering experience Proven experience in ML Ops architecture design, and ML Ops performance optimization. Expertise in operating system integration for Linux. Strong understanding of computer hardware architecture, particularly as it relates to Linux systems. Knowledge of parallel computing, graphics algorithms, and real-time rendering in Linux environments. Familiarity with ML Ops debugging tools and profiling software for Linux. Excellent problem-solving skills and the ability to collaborate within a team. Strong communication skills for conveying technical information in a Linux context. Proficiency with scripting languages such as Python or BASH. Proficiency with automation tools such as Ansible, Puppet, Salt, Terraform, etc. Candidate must, at a minimum, meet DoD 8570.11- IAT Level II certification requirements (currently Security+ CE, CCNA-Security, GICSP, GSEC, or SSCP along with an appropriate computing environment (CE) certification). An IAT Level III certification would also be acceptable (CASP+, CCNP Security, CISA, CISSP, GCED, GCIH, CCSP). Desired experience for this role: Knowledge of AWS or Azure cloud services and the cloud ecosystem. Published research or contributions in the ML Ops industry, especially related to Linux. Experience with machine learning and neural network frameworks on ML Ops in Linux. Knowledge of ML Ops virtualization, cloud computing, and emerging Linux-based technologies in the field. Proficiency in programming languages such as ML Ops-specific languages. Experience with container technologies (Docker, Kubernetes) Experience with Prometheus/Grafana for monitoring Knowledge of distributed resource scheduling systems (Slurm (preferred), LSF, etc.) Familiarity with CUDA and managing ML Ops-accelerated computing systems Basic knowledge of deep learning frameworks and algorithms. On-site Amenities: Available parking Accessible from MD, VA, or DC Metro-accessible shuttle service Wide open campus Gym on site Restaurants within walking distance Who we are: Since 2001, Absolute Business Solutions Corp (ABSC) has delivered professional services and technology-enabled solutions to federal, defense, and intelligence customers through a mission-first ethos resulting in agile, innovative, and technology-advancing capabilities.ABSC's employees – including software developers, multi-disciplined intelligence analysts, technology protection engineers, program support personnel, and specialists in cloud, data science, AI/ML, and cyber – diligently support their customers, address their challenges, and stay ahead of technological or operational impacts to the mission.
ABSC stands ready to deliver the next generation of programs, personnel, and solutions to help advance our federal government customers' driving innovation, agility, and security across all mission areas.
Some of our benefits include: 4 weeks of PTO plus 11 Federal Holidays Retirement Planning – 401k Fully Vested with Matching Tuition Assistance Program – Have Student Loans? Let us help Annual Health and Wellness Allowance Career Development – 5,250 USD Annually Towards Education and Training Volunteer Time Off – Spend time directly supporting a charity of your choice Charitable Match – ABSC matches (set amount) an employee's donation to a qualifying charity Paid Parental Leave – Employees receive 3 weeks of paid parental leave at 100% pay Referral Program – We pay for internal and external referrals Performance Bonus Apply to join our team today We are always looking to grow our team - if you know someone who is seeking a new career opportunity, please share this job opening with them ABSC offers generous external referral bonuses. You don't need to be an employee to benefit from our Referral Program
*ABSC is a proud V3, Virginia Values Vets, member which recognizes our commitment to hiring Veterans. If you are a veteran, please be sure to include that in your application. Thank you *
Absolute Business Solutions Corp. is an Equal Opportunity Employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, or protected veteran status and will not be discriminated against on the basis of disability.
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