Data Science/MLOps Engineer

AddSource; Chicago (IL); On-site; USD 120,000 - 180,000; Full time

Job summary

AddSource, a Chicago-based employer, seeks a Senior Engineer with deep Python, ML, and AWS experience to build scalable data and AI/ML solutions. You will work to deploy generative AI services, manage IaC with Terraform, and drive production-grade ML pipelines.

The role emphasizes hands-on cloud architecture, model deployment, and collaboration across teams to deliver robust data-driven solutions in a regulated, scalable environment.

Qualifications

• Strong 8+ years software engineering with Python and ML.
• Experience building ML/AI pipelines and production models.
• Hands-on AWS Bedrock and Terraform experience.

Responsibilities

• Design, develop, and maintain Python-based data pipelines and AI/ML solutions.
• Train, evaluate, and deploy ML models for production use.
• Develop Generative AI solutions using AWS Bedrock and prompt engineering.
• Design and manage AWS infrastructure using Terraform (IaC).
• Build scalable AI deployment architectures on AWS.
• Develop data ingestion, processing, and analytics pipelines.
• Collaborate with cross-functional teams to translate requirements.
• Implement CI/CD pipelines, monitoring, and performance optimization.
• Ensure security, governance, and cost optimization.
• Mentor junior engineers and participate in code reviews.
• Create and maintain technical docs and runbooks.

Skills

Python

Data science

Machine learning

AWS services

ML frameworks

DevOps

Communication

Problem solving

Team collaboration

CI/CD practices

Education

Engineering Degree BE/ME/BTech/MTech/BSc/MSc

Technical certification desirable

Tools

AWS Bedrock

Terraform

Docker

Kubernetes

SageMaker

Job description

Role: Data Science/MLOps Engineer

Experience: -

Location: Chicago, IL

We are seeking a highly skilled Senior Engineer with strong expertise in Python, Data Science, AI/ML, and AWS cloud technologies, along with hands on experience in Terraform. The role involves building scalable data driven and AI/ML solutions, leveraging foundation models and generative AI services, and contributing to cloud infrastructure automation and best engineering practices.

Responsibilities:

• Design, develop, and maintain Python based applications, data pipelines, and AI/ML solutions.
• Build, train, evaluate, and deploy machine learning and data science models for production use.
• Develop and integrate Generative AI solutions using AWS Bedrock, including foundation model selection, prompt engineering, and inference orchestration.
• Design and manage AWS cloud infrastructure using Terraform following IaC best practices.
• Build scalable AI/ML and GenAI deployment architectures using AWS services.
• Develop and optimize data ingestion, processing, and analytics pipelines for structured and unstructured data.
• Collaborate with cross functional teams to translate business and analytical requirements into technical solutions.
• Implement CI/CD pipelines, monitoring, logging, and performance optimization.
• Ensure security, compliance, governance, and cost optimization of cloud and AI workloads.
• Mentor junior engineers, conduct code reviews, and contribute to architectural decisions.
• Create and maintain technical documentation, solution designs, and operational runbooks.

Educational Qualifications:

• Engineering Degree BE/ME/BTech/MTech/BSc/MSc.
• Technical certification in multiple technologies is desirable.

Skills:

Mandatory Skills

• Strong Min 8 10 years of overall software engineering experience.
• Strong proficiency in Python for backend systems, data processing, and ML workflows.
• Hands on experience in Data Science and Machine Learning, including feature engineering, model evaluation, and deployment.
• Experience with ML frameworks such as Scikit learn, PyTorch, TensorFlow, or similar.
• Strong experience with AWS services, including EC2, S3, Lambda, ECS/EKS, RDS, SageMaker, and AWS Bedrock.
• Practical knowledge of AWS Bedrock for building and operationalizing Generative AI applications.
• Hands on experience with Terraform for infrastructure provisioning and environment management.
• Experience building cloud native, scalable, and highly available systems.
• Solid understanding of data stores (SQL, NoSQL) and data processing architectures.
• Familiarity with Docker, Kubernetes, and modern DevOps practices.
• Strong problem solving, communication, and collaboration skills

Good-to-Have Skills

• Prior experience with clinical, biomedical, or healthcare NLP use cases
• Familiarity with healthcare data standards, terminologies, or ontologies
• Experience deploying ML/NLP solutions in regulated or production healthcare environments
• Knowledge of distributed systems and cloud-native data architectures
• Experience with additional data stores, data warehouses, or NoSQL technologies
• Strong technical documentation and stakeholder communication skills
• Experience working in agile or cross-functional product development teams

VeeRteq Solutions is an Equal Opportunity Employer