Synectics for Management Decisions, Inc
MLOps Engineer – Advanced AI Technologies (Public Trust Eligible)
Synectics for Management Decisions, Inc, Alexandria, Virginia, us, 22350
MLOps Engineer – Advanced AI Technologies (Public Trust Eligible)
Join to apply for the
MLOps Engineer – Advanced AI Technologies (Public Trust Eligible)
role at
Synectics for Management Decisions, Inc MLOps Engineer – Advanced AI Technologies (Public Trust Eligible)
2 weeks ago Be among the first 25 applicants Join to apply for the
MLOps Engineer – Advanced AI Technologies (Public Trust Eligible)
role at
Synectics for Management Decisions, Inc MLOps Engineer - Advanced AI Technologies (Public Trust Eligible)
Location:
Hybrid (remote with on-site support as needed)
Employment Type:
Full-time
Clearance Requirement:
Must be able to attain and retain a Public Trust clearance
About The Role
We are seeking a seasoned
MLOps Engineer
with at least 8 years of professional experience to lead and optimize machine learning operations across enterprise-scale AI initiatives. The ideal candidate has deep expertise in advanced AI/ML technologies, infrastructure automation, and continuous delivery pipelines. This role supports mission-critical AI/ML systems and requires clearance eligibility due to the sensitive nature of the projects.
️ Key Responsibilities
Design, develop, and maintain MLOps pipelines for training, deploying, monitoring, and managing ML models at scale. Collaborate closely with data scientists, machine learning engineers, and DevOps teams to implement reliable CI/CD processes for AI workloads. Automate and optimize ML workflows across multiple environments (development, staging, production). Ensure security, scalability, and compliance of AI solutions in accordance with federal standards. Integrate with AI frameworks such as LangChain, OpenAI, and other LLM tooling in cloud-native environments. Leverage cloud infrastructure (preferably AWS) to implement reproducible and containerized ML solutions (e.g., using Docker, SageMaker, Kubernetes). Monitor model performance in production using observability and drift detection techniques. Contribute to best practices, process automation, and documentation within a fast-paced AI-driven environment. Provide technical mentorship to junior engineers and collaborate cross-functionally with stakeholders.
Required Qualifications
8+ years of hands-on experience in software engineering, DevOps, or MLOps roles. Proven expertise working with advanced AI technologies, including LLMs, generative models, or real-time ML systems. Strong understanding of CI/CD pipelines, model versioning, and ML lifecycle management. Experience with tools such as MLflow, Kubeflow, SageMaker, Airflow, Docker, Terraform, or Kubernetes. Solid programming skills in Python or Go, with emphasis on automation, reproducibility, and clean code. Familiarity with AWS ecosystem - EC2, S3, EKS, SageMaker, Lambda, and IAM. Strong communication skills and the ability to translate complex technical requirements to various audiences.
Preferred Qualifications
Experience with LLM fine-tuning, prompt engineering, or retrieval-augmented generation (RAG). Hands-on with LangChain, OpenAI APIs, Vector DBs (e.g., Pinecone, Weaviate). Prior experience working on government data projects or within a regulated AI/ML environment. Familiarity with hybrid or multi-cloud MLOps architectures.
Benefits
Competitive compensation package Comprehensive health, dental, and vision insurance 401(k) retirement plan with company match Paid time off (PTO) and federal holidays Life and disability insurance Wellness programs and employee assistance services Tuition reimbursement and training support Paid parental leave Computer purchase program
Why Join Us?
Work with cutting-edge AI technologies and contribute to mission-focused solutions. Join a collaborative, remote-first engineering team passionate about operationalizing AI. Influence AI system design and infrastructure at scale for public impact.
Not for You? Refer a Friend!
If this role isn't a fit for you but you know someone who might be perfect, feel free to forward this opportunity to them! Referrals are always appreciated.
️ Synectics is an Equal Opportunity Employer
and is committed to creating a diverse and inclusive environment for all employees. We do not discriminate on the basis of race, color, religion, sex, national origin, age, disability, genetic information, veteran status, or any other protected status under applicable law. We provide an environment that supports everyone's professional growth. Seniority level
Seniority level Mid-Senior level Employment type
Employment type Full-time Job function
Job function Engineering and Information Technology Industries IT Services and IT Consulting Referrals increase your chances of interviewing at Synectics for Management Decisions, Inc by 2x Sign in to set job alerts for “Technology Engineer” roles.
Technology Strategy Engineer (2025 Grads)
Strategic Product Engineer - Early Career
Bethesda, MD $91,825.00-$125,000.00 6 months ago Washington, DC $100,000.00-$125,000.00 1 month ago Washington, DC $160,000.00-$240,000.00 6 months ago City of Washington County, DC 2 weeks ago Washington DC-Baltimore Area $130,000.00-$160,000.00 6 days ago Chantilly, VA $150,000.00-$175,000.00 4 months ago Gaithersburg, MD $67,600.00-$122,200.00 3 days ago Washington DC-Baltimore Area $132,347.00-$172,199.00 3 months ago Washington, DC $215,731.00-$240,240.00 1 hour ago We’re unlocking community knowledge in a new way. Experts add insights directly into each article, started with the help of AI.
#J-18808-Ljbffr
Join to apply for the
MLOps Engineer – Advanced AI Technologies (Public Trust Eligible)
role at
Synectics for Management Decisions, Inc MLOps Engineer – Advanced AI Technologies (Public Trust Eligible)
2 weeks ago Be among the first 25 applicants Join to apply for the
MLOps Engineer – Advanced AI Technologies (Public Trust Eligible)
role at
Synectics for Management Decisions, Inc MLOps Engineer - Advanced AI Technologies (Public Trust Eligible)
Location:
Hybrid (remote with on-site support as needed)
Employment Type:
Full-time
Clearance Requirement:
Must be able to attain and retain a Public Trust clearance
About The Role
We are seeking a seasoned
MLOps Engineer
with at least 8 years of professional experience to lead and optimize machine learning operations across enterprise-scale AI initiatives. The ideal candidate has deep expertise in advanced AI/ML technologies, infrastructure automation, and continuous delivery pipelines. This role supports mission-critical AI/ML systems and requires clearance eligibility due to the sensitive nature of the projects.
️ Key Responsibilities
Design, develop, and maintain MLOps pipelines for training, deploying, monitoring, and managing ML models at scale. Collaborate closely with data scientists, machine learning engineers, and DevOps teams to implement reliable CI/CD processes for AI workloads. Automate and optimize ML workflows across multiple environments (development, staging, production). Ensure security, scalability, and compliance of AI solutions in accordance with federal standards. Integrate with AI frameworks such as LangChain, OpenAI, and other LLM tooling in cloud-native environments. Leverage cloud infrastructure (preferably AWS) to implement reproducible and containerized ML solutions (e.g., using Docker, SageMaker, Kubernetes). Monitor model performance in production using observability and drift detection techniques. Contribute to best practices, process automation, and documentation within a fast-paced AI-driven environment. Provide technical mentorship to junior engineers and collaborate cross-functionally with stakeholders.
Required Qualifications
8+ years of hands-on experience in software engineering, DevOps, or MLOps roles. Proven expertise working with advanced AI technologies, including LLMs, generative models, or real-time ML systems. Strong understanding of CI/CD pipelines, model versioning, and ML lifecycle management. Experience with tools such as MLflow, Kubeflow, SageMaker, Airflow, Docker, Terraform, or Kubernetes. Solid programming skills in Python or Go, with emphasis on automation, reproducibility, and clean code. Familiarity with AWS ecosystem - EC2, S3, EKS, SageMaker, Lambda, and IAM. Strong communication skills and the ability to translate complex technical requirements to various audiences.
Preferred Qualifications
Experience with LLM fine-tuning, prompt engineering, or retrieval-augmented generation (RAG). Hands-on with LangChain, OpenAI APIs, Vector DBs (e.g., Pinecone, Weaviate). Prior experience working on government data projects or within a regulated AI/ML environment. Familiarity with hybrid or multi-cloud MLOps architectures.
Benefits
Competitive compensation package Comprehensive health, dental, and vision insurance 401(k) retirement plan with company match Paid time off (PTO) and federal holidays Life and disability insurance Wellness programs and employee assistance services Tuition reimbursement and training support Paid parental leave Computer purchase program
Why Join Us?
Work with cutting-edge AI technologies and contribute to mission-focused solutions. Join a collaborative, remote-first engineering team passionate about operationalizing AI. Influence AI system design and infrastructure at scale for public impact.
Not for You? Refer a Friend!
If this role isn't a fit for you but you know someone who might be perfect, feel free to forward this opportunity to them! Referrals are always appreciated.
️ Synectics is an Equal Opportunity Employer
and is committed to creating a diverse and inclusive environment for all employees. We do not discriminate on the basis of race, color, religion, sex, national origin, age, disability, genetic information, veteran status, or any other protected status under applicable law. We provide an environment that supports everyone's professional growth. Seniority level
Seniority level Mid-Senior level Employment type
Employment type Full-time Job function
Job function Engineering and Information Technology Industries IT Services and IT Consulting Referrals increase your chances of interviewing at Synectics for Management Decisions, Inc by 2x Sign in to set job alerts for “Technology Engineer” roles.
Technology Strategy Engineer (2025 Grads)
Strategic Product Engineer - Early Career
Bethesda, MD $91,825.00-$125,000.00 6 months ago Washington, DC $100,000.00-$125,000.00 1 month ago Washington, DC $160,000.00-$240,000.00 6 months ago City of Washington County, DC 2 weeks ago Washington DC-Baltimore Area $130,000.00-$160,000.00 6 days ago Chantilly, VA $150,000.00-$175,000.00 4 months ago Gaithersburg, MD $67,600.00-$122,200.00 3 days ago Washington DC-Baltimore Area $132,347.00-$172,199.00 3 months ago Washington, DC $215,731.00-$240,240.00 1 hour ago We’re unlocking community knowledge in a new way. Experts add insights directly into each article, started with the help of AI.
#J-18808-Ljbffr