Job description

We are The Hollister Group, the Boston area's leading women-owned staffing firm. We guide candidates through the job search process and connect top-tier talent with opportunities that meet the needs of both our candidates and clients. Our Recruiters will help you refine your goals, improve your resume and interview skills, and stay on the lookout for a position that matches your experience and ambition. Our Technology Staffing Team is looking to speak with Boston-area candidates who would be a strong fit for the role outlined below. Compensation: Pay Range: $70–$110/hr, depending on experience and project scope. Note: We encourage applicants to apply even if their compensation expectations differ, as we value technical expertise and culture fit. Responsibilities: • Design, build, and deploy AI and machine learning solutions leveraging Large Language Models (LLMs) and Generative AI frameworks. • Develop, fine-tune, and integrate models such as GPT-4-turbo, Claude, Llama 3, and Mistral using OpenAI API, Hugging Face, or custom AWS/Azure pipelines. • Build retrieval-augmented generation (RAG) systems using Azure AI Search, Amazon Kendra, or vector databases like Pinecone, Weaviate, or FAISS. • Deploy and manage models on Azure Machine Learning, SageMaker, or Vertex AI, optimizing for cost, scalability, and performance. • Implement AI microservices and serverless architectures using AWS Lambda, API Gateway, Azure Functions, and Azure API Management. • Create and automate CI/CD pipelines using GitHub Actions, Azure DevOps, or AWS CodePipeline for rapid model deployment and testing. • Develop and maintain Python-based AI applications and APIs using frameworks like FastAPI, Flask, or LangChain. • Integrate observability and model monitoring solutions using Prometheus, CloudWatch, Datadog, or Azure Monitor. • Collaborate with data engineering teams to ensure smooth ingestion, transformation, and storage of data in AWS S3, Azure Data Lake, or Snowflake. • Apply MLOps best practices for continuous integration, deployment, and model lifecycle management. Requirements: • 5+ years of experience in AI, ML, or software engineering, ideally within financial services or other data-driven industries. • Expertise in Python, with experience in PyTorch, TensorFlow, or Scikit-learn. • Hands-on experience with LLMs and cloud AI services such as Azure OpenAI Service, AWS Bedrock, or Amazon SageMaker JumpStart. • Familiarity with prompt engineering, embedding models, and vector search implementation. • Strong experience developing and deploying workloads in AWS and/or Azure environments. • Knowledge of data management and analytics tools (SQL, Pandas, Spark, or Databricks). • Experience with CI/CD, Git-based workflows, and infrastructure as code (Terraform, CloudFormation, or Bicep). • Understanding of Agile methodologies and experience with Jira or Azure Boards. • Strong communication and collaboration skills, with the ability to balance multiple priorities in a fast-paced environment. • Location: Candidates must be local to Massachusetts; this position requires some onsite collaboration. Our Commitment to Inclusion & Belonging The Hollister Group is an equal opportunity employer. We welcome and encourage applications from people who are underrepresented in their respective occupation or position.

Requirements

Must-haves

Design, build, and deploy AI and machine learning solutions leveraging Large Language Models (LLMs) and Generative AI frameworks.
Develop, fine-tune, and integrate models such as GPT-4-turbo, Claude, Llama 3, and Mistral using OpenAI API, Hugging Face, or custom AWS/Azure pipelines.
Build retrieval-augmented generation (RAG) systems using Azure AI Search, Amazon Kendra, or vector databases like Pinecone, Weaviate, or FAISS.
Deploy and manage models on Azure Machine Learning, SageMaker, or Vertex AI, optimizing for cost, scalability, and performance.
Implement AI microservices and serverless architectures using AWS Lambda, API Gateway, Azure Functions, and Azure API Management.
Create and automate CI/CD pipelines using GitHub Actions, Azure DevOps, or AWS CodePipeline for rapid model deployment and testing.
Develop and maintain Python-based AI applications and APIs using frameworks like FastAPI, Flask, or LangChain.
Integrate observability and model monitoring solutions using Prometheus, CloudWatch, Datadog, or Azure Monitor.
Collaborate with data engineering teams to ensure smooth ingestion, transformation, and storage of data in AWS S3, Azure Data Lake, or Snowflake.
Apply MLOps best practices for continuous integration, deployment, and model lifecycle management.
5+ years of experience in AI, ML, or software engineering, ideally within financial services or other data-driven industries.
Expertise in Python, with experience in PyTorch, TensorFlow, or Scikit-learn.
Hands-on experience with LLMs and cloud AI services such as Azure OpenAI Service, AWS Bedrock, or Amazon SageMaker JumpStart.
Familiarity with prompt engineering, embedding models, and vector search implementation.
Strong experience developing and deploying workloads in AWS and/or Azure environments.
Knowledge of data management and analytics tools (SQL, Pandas, Spark, or Databricks).
Experience with CI/CD, Git-based workflows, and infrastructure as code (Terraform, CloudFormation, or Bicep).
Understanding of Agile methodologies and experience with Jira or Azure Boards.
Strong communication and collaboration skills, with the ability to balance multiple priorities in a fast-paced environment.
Location: Candidates must be local to Massachusetts; this position requires some onsite collaboration.
Our Commitment to Inclusion & Belonging
The Hollister Group is an equal opportunity employer. We welcome and encourage applications from people who are underrepresented in their respective occupation or position.

Nice-to-haves

None flagged.

Application prep

Use the role’s language and application details while tailoring your materials.

Keywords to mirror

aimachine learningapiawsazureci/cdpythonmlsqlagilejira

Platform: bullhorn
Effort: medium