About the OpportunityJOB SUMMARYThe Sr Machine Learning (ML) Engineer applies expertise in deploying and scaling AI pipelines across at least one major cloud platform (AWS, GCP, or Azure). The Engineer will collaborate with our Data Scientists to architect, deploy, and maintain production-grade AI solutions. As part of the AI Solutions Hub, the Engineer will architect, engineer, and deploy AI pipelines that push technological boundaries for our clients. The Engineer will tackle complex challenges at the intersection of Large Language Models, Computer Vision, and Predictive Analytics while ensuring production reliability and scalability. The Engineer combines technical excellence with strong collaboration skills to help our clients realize transformative AI projects.MINIMUM QUALFICIATIONS
Expert knowledge of at least one major cloud platform (AWS, GCP, or Azure)
Strong programming skills in Python and infrastructure-as-code tools
Proficient with containerization (Docker) and orchestration (Kubernetes)
Knowledge and skills required for this job are normally obtained through a bachelor's degree at at least 3+ years of experience in software engineering with a focus on cloud infrastructure plus 1 more years of hands-on experience deploying ML models to production
JOB DUTIES1) Model Development & Deployment
Design and implement scalable model serving architectures for both GenAI (LLMs, diffusion models) and traditional ML models
Build and maintain real-time and batch inference pipelines with high availability and fault tolerance
Optimize AI workloads for performance, cost-efficiency, and low-latency inference
Develop distributed model training and inference architectures leveraging GPU-based compute resources
Implement server-less and containerized solutions using Docker, Kubernetes, and cloud-native services
2) MLOps Pipeline Development
Architect end-to-end MLOps pipelines covering training, validation, deployment, and monitoring
Design and implement model validation and monitoring systems with alerts
Automate data pipelines for feature engineering, model retraining, and data versioning using cloud data services (e.g., Redshift, BigQuery, Synapse)
Implement monitoring for model drift, data drift, and service reliability
3) DevOps & Automation
Implement CI/CD pipelines for ML model deployment using GitHub Actions, Jenkins, or equivalent
Develop infrastructure-as-code templates for reproducible environment setup
Design and build scalable cloud infrastructure using compute, storage, and database services (e.g., EC2, Cloud Storage, Cosmos DB)
Ensure high availability, auto-scaling, and fault tolerance of AI services in production
4) Security & Compliance
Design and maintain IAM roles and permissions for ML workflows
Ensure compliance with data privacy requirements in model serving
Implement encryption and key management for model artifacts and sensitive data
Set up secure access controls using cloud-native security services (e.g., KMS, Cloud KMS, Key Vault)
Position TypeResearchAdditional InformationNortheastern University considers factors such as candidate work experience, education and skills when extending an offer. Northeastern has a comprehensive benefits package for benefit eligible employees. This includes medical, vision, dental, paid time off, tuition assistance, wellness & life, retirement- as well as commuting & transportation. Visit https://hr.northeastern.edu/benefits/ for more information. All qualified applicants are encouraged to apply and will receive consideration for employment without regard to race, religion, color, national origin, age, sex, sexual orientation, disability status, or any other characteristic protected by applicable law.Compensation Grade/Pay Type:113SExpected Hiring Range:$112,180.00 - $162,662.50With the pay range(s) shown above, the starting salary will depend on several factors, which may include your education, experience, location, knowledge and expertise, and skills as well as a pay comparison to similarly-situated employees already in the role. Salary ranges are reviewed regularly and are subject to change.To apply, visit https://northeastern.wd1.myworkdayjobs.com/en-US/careers/job/Boston-MA-Main-Campus/Sr-Machine-Learning-Engineer_R132702Copyright 2025 Jobelephant.com Inc. All rights reserved.Posted by the FREE value-added recruitment advertising agency jeid-680e3716376b6c4a84c3a71c73aa7d7f
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About Northeastern University
Founded in 1898, Northeastern University is a private research university located in the heart of Boston. Northeastern is a leader in worldwide experiential learning, urban engagement, and interdisciplinary research that meets global and societal needs. Our broad mix of experience-based education programs?our signature cooperative education program, as well as student research, service learning, and global learning?build the connections that enable students to transform their lives. The University offers a comprehensive range of undergraduate and graduate programs leading to degrees through the doctorate in nine colleges and schools.
Take the leap to a rewarding job that pays you well and that you enjoy.
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