SageMaker Engineer Jobs

1 job found

4d ago

Senior Software Engineer

Verisk Boston, MA

Boston, MA

4d ago

Full time Backend Developer Python Senior

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Job Description

Verisk is seeking a Senior Software Engineer who will be based in Boston with a flexible hybrid work model. The role centers on AI/ML engineering for data-intensive SaaS platforms, building cloud-native systems, and deploying scalable ML-serving infrastructure on AWS.

Responsibilities

Design, build, and deploy machine learning models and AI-powered features into production SaaS products
Maintain scalable data pipelines for ingestion, transformation, and enrichment of large, complex datasets
Develop model-serving infrastructure using AWS SageMaker, Lambda, and container-based deployment patterns
Apply LLM integrations, RAG architectures, and generative AI capabilities where appropriate to enhance product functionality
Own data quality, observability, and monitoring for AI/ML workloads in production
Lead the design and implementation of cloud-native microservices and APIs (Python, C#/.NET) on AWS
Drive best practices in design, code quality, and system design across the team
Contribute to all stages of the SDLC: requirements review, design, development, testing, and deployment
Conduct code reviews and mentor team members on engineering standards
Proactively identify technical risks and communicate them early to course-correct
Participate in roadmap planning, scoping, and technology feasibility assessments
Contribute to a culture where solving customer problems is always the highest priority

Requirements

B.S. in Computer Science, Mathematics, Statistics, or a related quantitative field; M.S. or Ph.D. preferred
5+ years of software engineering experience, with at least 2 years in a senior or lead role on cloud-native AWS products
Strong Python skills for data engineering, ML pipelines, and API development
Hands-on experience with ML frameworks such as scikit-learn, PyTorch, TensorFlow, or XGBoost
Experience building and deploying production ML systems — model training, evaluation, versioning, and serving
Proficiency with AWS data and AI services: SageMaker, S3, Glue, Athena, Lambda, EC2, CloudWatch
Experience with data pipeline tooling: Apache Spark, Airflow, dbt, or equivalent
Solid understanding of data modeling, SQL, and working with large-scale databases (PostgreSQL, MSSQL, or similar)
Strong grasp of software engineering fundamentals: CI/CD, DevOps, testing, and system design
Familiarity with REST API design, microservices, and containerization (Docker, Kubernetes)
Experience with Agile development methodologies

Technologies

Python
C#/.NET
AWS (SageMaker, S3, Glue, Athena, Lambda, EC2, CloudWatch)
Docker
Kubernetes
scikit-learn
PyTorch
TensorFlow
XGBoost
Apache Spark
Airflow
dbt
PostgreSQL
MSSQL
SQL
REST API
Angular
React

Benefits

Health Insurance
Retirement Plan
Disability benefits
Paid Time Off

Nice to Have

Experience with LLMs, prompt engineering, or RAG (Retrieval-Augmented Generation) systems
Familiarity with MLflow, Weights & Biases, or other ML lifecycle management tools
AWS Certification (Machine Learning Specialty, Solutions Architect, or equivalent)
Experience with geospatial data, catastrophe modeling, or climate/weather datasets
Full-stack experience with Angular or React and .NET Core
Background in the insurance, reinsurance, or financial services industries

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