Machine learning engineer

TITLE: Machine Learning Engineer
LOCATION: Atlanta, GA (hybrid)
ANTICIPATED DURATION: 1+ years
Rate: $70-85/hr W2 only - no C2C

Responsibilities:

• Design and build modular, reusable AI components that can be scaled across business units
• Lead development of scalable RAG-based solutions for document comparison (e.g., contracts vs. invoices)
• Engineer multi-agent systems for intelligent task coordination and decision support
• Develop transcription and NLP pipelines for customer interaction analysis
• Build and fine-tune models using frameworks like PyTorch, Transformers, or LangChain
• Package models for deployment in Azure ML, ensuring scalability and maintainability
• Collaborate with MLOps, DevOps, and data engineering teams to align on infrastructure and deployment patterns
• Contribute to shared libraries, APIs, and templates that accelerate AI product delivery
• Ensure AI products meet enterprise-grade security and compliance standards
• Implement monitoring for model performance, data drift, and usage metrics

Requirements:

• Bachelor’s or Master’s in Computer Science, AI, Data Science, or related field
• 5+ years in AI/ML engineering or applied machine learning
• Experience building production-grade AI systems in cloud environments (Azure preferred)
• Strong Python skills; experience with LLMs, RAG, and agent frameworks
• Familiarity with Azure ML, Databricks, and MLflow
• Experience with NLP, speech-to-text, and document intelligence
• Proficiency in SQL and big data tools (Spark, Kafka)

Preferred Experience:

• Designing multi-agent architectures or orchestration frameworks
• Familiarity with LangChain, OpenAI APIs, or similar LLM tooling
• Experience designing front-end GUIs for chat interfaces
• Certifications in Azure AI or ML engineering
• Experience in multi-business or federated enterprise environments
• Agile development experience and comfort with iterative delivery

The hourly pay rate range for this position is $70.00 to $85.00 (dependent on factors including but not limited to client requirements, experience, statutory considerations, and location). Benefits available to full-time employees: medical, dental, vision, disability, life insurance, 401k and commuter benefits.
Synergis is proud to be an Equal Opportunity Employer. We value diversity and do not discriminate on the basis of race, color, ethnicity, national origin, religion, age, gender, gender identity, political affiliation, sexual orientation, marital status, disability, military/veteran status, or any other status protected by applicable law.
Qualified applicants with arrest or conviction records will be considered for employment in accordance with the requirements of applicable state and local laws, including but not limited to, the San Francisco Fair Chance Ordinance, the City of Los Angeles’ Fair Chance Initiative for Hiring Ordinance, the Los Angeles County Fair Chance Ordinance for Employers, and the California Fair Chance Act.
For immediate consideration, please forward your resume to [email protected].
If you require assistance or an accommodation in the application or employment process, please contact us at [email protected].
Synergis is a workforce solutions partner serving thousands of businesses and job seekers nationwide. Our digital world has accelerated the need for businesses to build IT ecosystems that enable growth and innovation along with enhancing the Total Experience (TX). Synergis partners with our clients at the intersection of talent and transformation to scale their balanced teams of tech, digital and creative professionals. Learn more about Synergis at

Job Types: Full-time, Contract

Pay: $70.00 - $85.00 per hour

Expected hours: 40 per week

Benefits:

• 401(k)
• Dental insurance
• Employee assistance program
• Employee discount
• Flexible spending account
• Health insurance
• Health savings account
• Life insurance
• Referral program
• Vision insurance

Application Question(s):

• Are you able to work in the US on our W2, now and in the future, without restriction? We are unable to sponsor or transfer visas such as EAD, H1B, etc and unable to work C2C.
• Have you built a scalable AI solution using Retrieval-Augmented Generation (RAG) or multi-agent orchestration?
• Do you have experience deploying AI models in Azure ML or integrating with Databricks for data workflows?
• Have you developed reusable AI components or shared libraries that were adopted across teams or business units?
• This role could require up to 4 days onsite in Atlanta, GA - can you meet that criteria?

Work Location: Hybrid remote in Atlanta, GA 30308