Lead the design and development of AI/ML infrastructure, implementing MLOps pipelines, mentoring engineers, and ensuring models are production-ready. Monitor performance, optimize models, and stay updated on MLOps trends.
About Egen:
Egen is a fast-growing and entrepreneurial company with a data-first mindset. We bring together the best engineering talent working with the most advanced technology platforms, including Google Cloud and Salesforce, to help clients drive action and impact through data and insights. We are committed to being a place where the best people choose to work so they can apply their engineering and technology expertise to envision what is next for how data and platforms can change the world for the better. We are dedicated to learning, thrive on solving tough problems, and continually innovate to achieve fast, effective results. If this describes you, we want you on our team.
Want to learn more about life at Egen? Check out these resources in addition to the job description.
Meet Egen
Life at Egen
Culture and Values at Egen
Career Development at Egen
Benefits at Egen
About the opportunity:
Drive the future of our client's AI/ML infrastructure! Lead the design and development of their cutting-edge platform, ensuring responsible, reliable, and efficient machine learning operations.
About the Role:
- Design and implement MLOps pipelines to automate model training, deployment, monitoring, and management
- Lead/mentor a team of MLOps Engineers, fostering an inclusive and collaborative environment that encourages innovation and continuous learning
- Collaborate with Data Scientists and ML Engineers to ensure models are production-ready, scalable, and maintainable
- Develop strategies for model versioning, testing, and deployment to facilitate a seamless and efficient development lifecycle
- Monitor model performance and data drift, implementing automated alerts and processes for model retraining and optimization
- Develop and maintain platforms and applications that serve as foundational components for robust and scalable ML pipelines
- Stay at the forefront of MLOps trends, tools, and technologies, integrating new approaches to enhance our ML operations and infrastructure
Basic Qualifications:
- Bachelor’s or Master’s degree in Computer Science, Data Science, AI, or a related field (or equivalent work experience)
- 4+ years of experience in the technology or data field
- Proficient engineering and coding skills in Python and other languages
- Strong background in AI/ML or Data Sciences technologies and platform developmentGreat multi-disciplinary knowledge of technology space (data, cloud, ops, security)
- Excellent communication, leadership, and project management skills
- Proficient in Infrastructure as a Code (Terraform)
- Strong background in CI/CD workflows
- Mastery in containerization and and container orchestration platforms
- Sound knowledge of ML pipelines (Kubeflow, Dagster, etc.)
- Strong Python programming skillsExperience in model development and training
Compensation & Benefits:
This role is eligible for our competitive salary and comprehensive benefits package to support your well-being:
- Comprehensive Health Insurance
- Paid Leave (Vacation/PTO)
- Paid Holidays
- Sick Leave
- Parental Leave
- Bereavement Leave
- 401 (k) Employer Match
- Employee Referral Bonuses
Check out our complete list of benefits here - >https://egen.ai/people/#benefits
Important: All roles are subject to standard hiring verification practices, which may include background checks, employment verification, and other relevant checks.
EEO and Accommodations:
Egen is an equal opportunity employer and is committed to inclusion, diversity, and equity in the workplace. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, national origin, disability status, protected veterans’ status, or any other characteristic protected by federal, state, or local laws. Egen will also consider qualified applications with criminal histories, consistent with legal requirements. Egen welcomes and encourages applications from individuals with disabilities. Reasonable accommodations are available for candidates during all aspects of the selection process. Please advise the talent acquisition team if you require accommodations during the interview process.
Top Skills
Ci/Cd
Dagster
GCP
Kubeflow
Python
Salesforce
Terraform
Similar Jobs
Artificial Intelligence • Computer Vision • Hardware • Robotics • Metaverse
Lead design, deployment, and operation of large-scale GPU-accelerated HPC clusters. Build scalable automation and tooling, support researchers, analyze and optimize performance, perform root-cause investigations, and collaborate cross-functionally to maintain compute, networking, and storage systems.
Top Skills:
Slurm,Kubernetes,Lsf,Mpi,Nccl,Centos,Rhel,Ubuntu,Enroot,Docker,Podman,Python,Bash,Go,Golang,Rust,C,C++,Nvidia Gpus,Cuda,Mlperf,Pytorch,Megatronlm,Tensorflow,Infiniband,Rdma,Roce,Amazon Efa,Lustre,Gpfs,Prometheus,Opensearch,Grafana
Software
The role involves securing AWS platforms, managing security across multiple accounts, improving CI/CD pipeline security, and automating security controls using Infrastructure as Code.
Top Skills:
AikidoAWSCi/CdCloudFormationGithub ActionsGitlab CiKubernetesOpentofuRancherSastTerraform
Software
As a Senior DevOps Engineer at Prompt Therapy, manage cloud infrastructure, automate deployment, and implement MLOps best practices to enhance AI-driven features.
Top Skills:
AnsibleAWSAzureBashCloudFormationDatadogDockerEcsGCPGithub ActionsGitlabGoGrafanaKubernetesMlflowPrometheusPythonTerraform
What you need to know about the Boston Tech Scene
Boston is a powerhouse for technology innovation thanks to world-class research universities like MIT and Harvard and a robust pipeline of venture capital investment. Host to the first telephone call and one of the first general-purpose computers ever put into use, Boston is now a hub for biotechnology, robotics and artificial intelligence — though it’s also home to several B2B software giants. So it’s no surprise that the city consistently ranks among the greatest startup ecosystems in the world.
Key Facts About Boston Tech
- Number of Tech Workers: 269,000; 9.4% of overall workforce (2024 CompTIA survey)
- Major Tech Employers: Thermo Fisher Scientific, Toast, Klaviyo, HubSpot, DraftKings
- Key Industries: Artificial intelligence, biotechnology, robotics, software, aerospace
- Funding Landscape: $15.7 billion in venture capital funding in 2024 (Pitchbook)
- Notable Investors: Summit Partners, Volition Capital, Bain Capital Ventures, MassVentures, Highland Capital Partners
- Research Centers and Universities: MIT, Harvard University, Boston College, Tufts University, Boston University, Northeastern University, Smithsonian Astrophysical Observatory, National Bureau of Economic Research, Broad Institute, Lowell Center for Space Science & Technology, National Emerging Infectious Diseases Laboratories
