🧠 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:

• 6+ 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.