Sr. Data Scientist

The ACI Group, Inc.; Baltimore (MD); Remote; USD 140,000 - 190,000; Part time

Benefits offered by this job

Referral bonus

Job summary

The ACI Group, Inc. is seeking a Sr. Data Scientist for a 100% remote position supporting a government client.

The role focuses on end-to-end ML/AI systems, including RAG, NLP, and agentic architectures, with strict eligibility rules for US citizens or Green Card holders. Responsibilities include designing scalable ML pipelines on AWS, deploying NLP and RAG solutions, and integrating AI across enterprise platforms.

Qualifications

• Minimum six years of relevant data science experience.
• Experience delivering production AI systems including GenAI, RAG, and LLM-powered apps.
• Strong programming and ML library skills in Python and related tools.

Responsibilities

• Design, develop, and maintain ML, DL, and Generative AI solutions using structured and unstructured data.
• Build and deploy end-to-end ML pipelines on AWS for scalable training, evaluation, and production.
• Develop NLP capabilities: classification, entity recognition, topic modeling, semantic search.
• Design RAG systems with document ingestion, embeddings, and vector search.
• Develop and optimize LLM-powered applications and agent-based AI workflows.

Skills

Python

Pandas

NumPy

scikit-learn

PyTorch

TensorFlow

Education

Bachelor's degree

Master's degree

PhD

Tools

SageMaker

S3

Glue

Bedrock

Lambda

API Gateway

Airflow

Postgres RDS

Redshift

DynamoDB

GitHub

Jenkins

Job description

Sr. Data Scientist, Remote

NO THIRD PARTY RECRUITERS!!!!!

• Contract; Potential Contract to Hire
• 100% Remote
• Due to our government client requirements, we can only consider US Citizen or a Green Card holders who have lived in the US for 3 of the last 5 years. Must be able to obtain a US Federal government client badge adn pass a government background investigation.
• NO THIRD PARTY RECRUITERS PLEASE! CANDIDATES MUST BE SELF-REPRESENTED.

Description

We areseeking a Sr. Data Scientist to support our Government client. Will create value from structured and unstructured data by applying domain knowledge, statistical analysis, and advanced machine learning techniques to solve complex healthcare challenges.

This role emphasizes end-to-end development of machine learning and AI systems, including traditional ML, deep learning, NLP, and modern LLM-based architectures such as Retrieval-Augmented Generation (RAG) and agentic AI systems.

Responsibilities

• Design, develop, and maintain machine learning, deep learning, and Generative AI solutions using structured and unstructured data to solve complex healthcare and business challenges, including predictive analytics, NLP, Retrieval-Augmented Generation (RAG), agentic AI systems, and enterprise AI applications.
• Build and deploy end-to-end ML and AI pipelines on AWS (e.g., SageMaker, S3, Glue, Bedrock) for scalable training, evaluation, inference, and production operations.
• Develop and implement advanced NLP solutions, including text classification, entity recognition, topic modeling, and semantic search using models such as BERT and transformer-based architectures.
• Design, build, and optimize enterprise Retrieval-Augmented Generation (RAG) systems, including document ingestion, chunking strategies, metadata enrichment, embeddings, vector search, retrieval optimization, and LLM orchestration.
• Develop LLM-powered applications, including prompt engineering, evaluation frameworks, and optimization techniques for accuracy, consistency, and cost efficiency.
• Design and implement agent-based AI systems utilizing reasoning, planning, memory, tool orchestration, and multi-step workflows to automate complex business processes.
• Develop integrations between AI systems and enterprise platforms such as ServiceNow, Snowflake, Databricks, APIs, workflow platforms, and operational systems.
• Contribute to enterprise AI platform capabilities including agent orchestration, tool execution frameworks, knowledge retrieval services, AI governance controls, and reusable AI patterns.
• Design and implement AI evaluation frameworks and quality methodologies to measure response quality, groundedness, relevance, hallucination rates, task-completion effectiveness, and business value.
• Create evaluation datasets, automated testing strategies, benchmarks, and validation pipelines to continuously improve AI system quality and reliability.
• Implement AI observability and monitoring capabilities including tracing, telemetry, evaluation logging, prompt tracking, usage analytics, performance monitoring, and cost optimization.
• Develop dashboards, operational insights, and analytical tools to communicate findings and support data-driven decision making for technical and non-technical stakeholders.
• Implement predictive analytics, statistical modeling, and exploratory data analysis to uncover patterns, trends, and opportunities within healthcare and operational data.
• Evaluate model and AI system performance using appropriate statistical, ML, and GenAI metrics and communicate findings in a clear, actionable manner.
• Collaborate in an Agile environment with Product, Architecture, Engineering, UX, QA, DevSecOps, Business SMEs, and stakeholders to deliver production-grade AI solutions.

Qualifications

• Requires a minimum of six (6) years of relevant experience. Bachelor's degree is required. Master's or PhD preferred.
• Experience in machine learning and statistical modeling, including supervised and unsupervised learning techniques, deep learning, and a solid foundation in probability, hypothesis testing, and regression.
• Demonstrated experience delivering, monitoring, troubleshooting, and supporting production AI systems, including Generative AI, Retrieval-Augmented Generation (RAG), LLM-powered applications, semantic retrieval systems, enterprise AI assistants, or agent-based workflows in enterprise environments.
• Hands-on experience designing and implementing RAG architectures, vector databases, embeddings, semantic retrieval, retrieval optimization, or enterprise knowledge engineering solutions.
• Experience evaluating AI system performance, including retrieval quality, groundedness, response relevance, hallucination reduction, and task-completion effectiveness.
• Experience with AI observability, evaluation frameworks, tracing, telemetry, prompt monitoring, or operational analytics is preferred.
• Advanced programming skills in Python, with practical experience using ML and data libraries such as pandas, NumPy, scikit-learn, PyTorch, and TensorFlow is preferred.
• Experience with AWS cloud and MLOps tooling, including SageMaker, S3, Glue, Bedrock, Lambda, API Gateway, Airflow, and data stores such as Postgres RDS, Redshift and DynamoDB, along with version control (GitHub) and CI/CD pipelines (e.g., Jenkins) is a plus.
• Experience with backend systems and data integration, including data modeling and supporting APIs for web-based and production applications is a plus.
• Strong written and verbal communication skills with the ability to explain complex technical concepts to diverse audiences.
• Ability to work collaboratively across Product, Architecture, Engineering, UX, QA, DevSecOps, and business stakeholders.
• Experience supporting CMS or other federal healthcare agencies is a plus

Please Note:

• Only those individuals selected for an interview will be contacted.
• No calls, inquiries, or Third-Party Vendors please.
• We are an equal opportunity employer. We encourage applications from candidates of all backgrounds and experiences. (The ACI Group is unable to sponsor H1B Visas).
• $1000 Referral Bonus - www.aci.com.

Since 1988, The ACI Group, a Baltimore-based staffing firm, has been committed to hiring the industry's leading professionals, and presenting exciting career opportunities. We have access to varied types of contract, permanent and contract-to-perm positions and offer a choice of employment options including a full benefits package.