Sr Machine Learning Engineer
Sr Machine Learning Engineer
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Job Description
About the Opportunity
JOB SUMMARY
The 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 productiongrade 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 infrastructureascode tools
- Proficient with containerization (Docker) and orchestration (Kubernetes)
- Knowledge and skills required for this job are normally obtained through a bachelors degree at at least 3 years of experience in software engineering with a focus on cloud infrastructure plus 1 more years of handson experience deploying ML models to production
JOB DUTIES
1 Model Development & Deployment
- Design and implement scalable model serving architectures for both GenAI (LLMs diffusion models) and traditional ML models
- Build and maintain realtime and batch inference pipelines with high availability and fault tolerance
- Optimize AI workloads for performance costefficiency and lowlatency inference
- Develop distributed model training and inference architectures leveraging GPUbased compute resources
- Implement serverless and containerized solutions using Docker Kubernetes and cloudnative services
2 MLOps Pipeline Development
- Architect endtoend 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 infrastructureascode 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 autoscaling 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 cloudnative security services (e.g. KMS Cloud KMS Key Vault)
Position Type
ResearchAdditional Information
Northeastern 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 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:
$112180.00 $162662.50With 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 similarlysituated employees already in the role. Salary ranges are reviewed regularly and are subject to change.
Required Experience:
Senior IC
Employment Type
Full-Time
