Synergis
Machine Learning Engineer
Location:
Atlanta, GA (hybrid)
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
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
dwicks@Synergishr.com .
If you require assistance or an accommodation in the application or employment process, please contact us at
dwicks@Synergishr.com .
#J-18808-Ljbffr
Atlanta, GA (hybrid)
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
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
dwicks@Synergishr.com .
If you require assistance or an accommodation in the application or employment process, please contact us at
dwicks@Synergishr.com .
#J-18808-Ljbffr