ai/ml developer

Amivero

<div>
 <strong>
  Amivero Team
  <br/>
  <br/>
 </strong>
 Amivero&rsquo;s team of IT professionals delivers digital services that elevate the federal government, whether national security or improved government services. Our human-centered, data-driven approach is focused on truly understanding the environment and the challenge and reimagining with our customer how outcomes can be achieved.
 <br/>
 <br/>
 Our team of technologists leverage modern, agile methods to design and develop equitable, accessible, and innovative data and software services that impact hundreds of millions of people.
 <br/>
 <br/>
 As a member of the Amivero team you will use your empathy for a customer&rsquo;s situation, your passion for service, your energy for solutioning, and your bias towards action to bring modernization to very important, mission-critical, and public service government IT systems.
 <br/>
 <br/>
 <strong>
  Special Requirements
  <br/>
  <br/>
 </strong>
 <ul>
  <li>
   US Citizenship Required to obtain Public Trust
  </li>
  <li>
   Active DHS Clearance (preferred)
  </li>
  <li>
   Bachelor Degree + 10 years of experience
  </li>
  <li>
   3+ years of experience developing and optimizing solutions using Python or similar, with a strong focus on performance, scalability, and efficiency
  </li>
  <li>
   Extensive experience working with vector technology databases, designing and implementing solutions to efficiently store, search, and analyze high-dimensional data for real-time and large-scale applications
   <br/>
   <br/>
   <br/>
  </li>
 </ul>
 <strong>
  The Gist&hellip;
  <br/>
  <br/>
 </strong>
 The AI/ML Engineer designs, develops, trains, and deploys machine learning models to support predictive analytics, anomaly detection, and decision-support capabilities. This role integrates AI/ML solutions into operational workflows, collaborating with data, product, and engineering teams to ensure models are effective, scalable, and aligned with organizational objectives.
 <br/>
 <br/>
 <ul>
  <li>
   Design, develop, and deploy machine learning models to support predictive analytics, anomaly detection, and decision-support tools.
  </li>
  <li>
   Integrate AI/ML solutions into operational systems and workflows to enhance automation and efficiency.
  </li>
  <li>
   Create and fine-tune algorithms for various tasks such as classification, regression, clustering, and recommendation systems.
  </li>
  <li>
   Preprocess, clean, and transform data to ensure high-quality inputs for model training.
  </li>
  <li>
   Develop models leveraging advanced machine learning techniques, including deep learning, reinforcement learning, and natural language processing.
  </li>
  <li>
   Build and maintain scalable and efficient data pipelines using Databricks and Hadoop/Cloudera.
  </li>
  <li>
   Implement ETL processes to clean, prepare, and transform large datasets for analysis and modeling.
  </li>
  <li>
   Ensure data integrity and quality throughout the data lifecycle.
  </li>
  <li>
   Evaluate model performance using appropriate metrics and implement improvements as needed.
  </li>
  <li>
   Collaborate with data engineers, product managers, and developers to align AI/ML solutions with program goals.
  </li>
  <li>
   Implement best practices for model versioning, deployment, monitoring, and retraining.
  </li>
  <li>
   Ensure compliance with data privacy, security, and regulatory standards in AI/ML workflows.
  </li>
  <li>
   Document model design, assumptions, data sources, and performance results.
  </li>
  <li>
   Stay current with emerging AI/ML technologies, frameworks, and research to enhance solutions.
  </li>
  <li>
   Mentor junior team members and contribute to knowledge sharing in AI/ML development practices.
  </li>
  <li>
   Bachelor&rsquo;s degree in Computer Science, Data Science, Artificial Intelligence, or a related field; a master&rsquo;s degree preferred.
  </li>
  <li>
   A bachelor&rsquo;s degree with an additional three (3) or more years of relevant experience may substitute for a master&rsquo;s degree.
  </li>
  <li>
   Minimum of five (5) years of directly related experience in AI/ML development, data science, or applied analytics.
  </li>
  <li>
   Hands-on experience with machine learning frameworks and libraries (e.g., TensorFlow, PyTorch, scikit-learn).
  </li>
  <li>
   Strong programming skills in Python, Java, or R; experience with APIs and integration into production systems.
  </li>
  <li>
   Knowledge of data preprocessing, feature engineering, model evaluation, and deployment pipelines.
  </li>
  <li>
   Familiarity with cloud platforms (AWS, Azure, GCP) for AI/ML workloads.
  </li>
  <li>
   Excellent analytical, problem-solving, and critical-thinking skills.
  </li>
  <li>
   Strong communication and collaboration skills, with the ability to work with cross-functional teams.
  </li>
  <li>
   Experience mentoring or guiding less experienced AI/ML engineers is a plus.
   <br/>
   <br/>
   <br/>
  </li>
 </ul>
 EOE/M/F/VET/DISABLED
 <br/>
 <br/>
 All qualified applicants will receive consideration without regard to race, color, religion, gender, sexual orientation, gender identity or expression, national origin, age, disability, genetic information, marital status, amnesty, or status as a covered veteran in accordance with applicable federal, state and local laws. Amivero complies with applicable state and local laws governing non-discrimination in employment in every location in which the company has facilities.
</div>


AI/ML Developer

Catalyst Labs

<div>
 <strong>
  About The Job ML Engineer
  <br/>
  <br/>
 </strong>
 <strong>
  Our Client
  <br/>
  <br/>
 </strong>
 Is a rapidly growing Tier 1 VC backed startup based in New York with $60 million in funding revolutionizing how outside sales and service teams work. Their AI technology captures and analyzes real-world conversations, providing full visibility into every customer interaction without the need for traditional ride-alongs.
 <br/>
 <br/>
 By turning field conversations into searchable, actionable data, they empower teams to coach more effectively, close more deals, and boost average ticket sizes. Combining cutting-edge AI with a deep understanding of field sales dynamics, this company is redefining how businesses learn from and optimize their in-person customer experiences.
 <br/>
 <br/>
 <strong>
  About Us
  <br/>
  <br/>
 </strong>
 Catalyst Labs is a leading talent agency with a specialized vertical in Applied AI, Machine Learning, and Data Science. We stand out as an agency that&rsquo;s deeply embedded in our clients&rsquo; recruitment operations.
 <br/>
 <br/>
 We collaborate directly with Founders, CTOs, and Heads of AI in those themes who are driving the next wave of applied intelligence from model optimization to productized AI workflows. We take pride in facilitating conversations that align with your technical expertise, creative problem-solving mindset, and long-term growth trajectory in the evolving world of intelligent systems.
 <br/>
 <br/>
 <strong>
  Location
 </strong>
 : New York, NY
 <br/>
 <br/>
 <strong>
  Work type
 </strong>
 : Full Time,
 <br/>
 <br/>
 <strong>
  Compensation
 </strong>
 : above market base + bonus + equity
 <br/>
 <br/>
 <strong>
  Roles &amp; Responsibilities
  <br/>
  <br/>
 </strong>
 <ul>
  <li>
   Design, build, and deploy production-grade ML systems with end-to-end ownership of the model lifecyclefrom conception to deployment and maintenance.
  </li>
  <li>
   Architect and deliver AI-powered solutions enabling natural speech interaction and real-time audio understanding.
  </li>
  <li>
   Develop and optimize ML models focused on audio data to extract business-critical insights from previously unstructured voice data.
  </li>
  <li>
   Build agents capable of operating natively on real-world audio inputs.
  </li>
  <li>
   Collaborate with cross-functional teams to shape the foundations of the AI stack, improve tooling, and drive innovation in LLM and audio ML applications.
  </li>
  <li>
   Work directly with customers to identify needs, gather feedback, and deliver impactful real-world solutions.
  </li>
  <li>
   Handle the entire AI lifecycle, including data acquisition, preprocessing, model training, deployment, inference, and monitoring in production environments.
  </li>
  <li>
   Participate in continuous improvement of the ML infrastructure and processes for scalability and performance.
   <br/>
   <br/>
  </li>
 </ul>
 <strong>
  Qualifications
  <br/>
  <br/>
 </strong>
 <ul>
  <li>
   Bachelor&rsquo;s or Master&rsquo;s degree in Computer Science, Machine Learning, Artificial Intelligence, or a related field.
  </li>
  <li>
   1-6 years of professional experience in ML engineering.
  </li>
  <li>
   Strong programming skills in Python (TypeScript experience is a plus).
  </li>
  <li>
   Hands-on experience with ML frameworks such as PyTorch or TensorFlow.
  </li>
  <li>
   Familiarity with cloud environments and infrastructure (preferably AWS).
  </li>
  <li>
   Strong understanding of data pipeline design, real-time inference, and model monitoring.
  </li>
  <li>
   Excellent communication skills with the ability to engage directly with customers and stakeholders.
   <br/>
   <br/>
  </li>
 </ul>
 <strong>
  Core Experience
  <br/>
  <br/>
 </strong>
 <ul>
  <li>
   Proven experience building and deploying ML models into production environments.
  </li>
  <li>
   Demonstrated ability to own the full model lifecyclefrom data ingestion and model development to deployment and monitoring.
  </li>
  <li>
   Experience with audio-focused ML projects or similar domains involving unstructured data.
  </li>
  <li>
   Proficiency in building scalable data pipelines for model training and evaluation.
  </li>
  <li>
   Familiarity with FastAPI, OpenAI APIs, Baseten, LiteLLM, LiveKit, PostgreSQL, Redis, and S3 is a plus.
  </li>
  <li>
   Solid grasp of ML systems architecture, feature engineering, evaluation strategies, and deployment best practices.
  </li>
 </ul>
</div>


ML Engineer

<div></div><div><div><div><div><ul><div>1 Opening</div>
 <div>Atlanta</div></ul></div><p></p><div><br>
<div><div>
</div></div></div></div><div></div><div><h3 class="jobSectionHeader"><b>Role description</b></h3>
<div><p><b>Senior AI/ML Engineer &mdash; Customer Data Platform</b></p>
<p><b>
Lead I - Software Engineering</b></p><br>
<p></p>
<p><b>
Who We Are:</b></p>
<p>
Born digital, UST transforms lives through the power of technology. We walk alongside our clients and partners, embedding innovation and agility into everything they do. We help them create transformative experiences and human-centered solutions for a better world.</p>
<p>
UST is a mission-driven group of 29,000+ practical problem solvers and creative thinkers in more than 30 countries. Our entrepreneurial teams are empowered to innovate, act nimbly, and create a lasting and sustainable impact for our clients, their customers, and the communities in which we live.</p>
<p>
With us, you&rsquo;ll create a boundless impact that transforms your career&mdash;and the lives of people across the world.</p>
<p>
Visit us at UST.com.</p><br>
<p></p>
<p><b>
You Are:</b></p>
<p>
We are seeking a Senior AI/ML Engineer to lead the design and development of the advanced AI systems that make our Customer Data Platform (CDP) the authoritative source of truth for customer data &mdash; covering the entire US adult population.</p><br>
<p></p>
<p><b>
The opportunity:</b></p>
<ul><li> Design and lead end-to-end identity resolution architecture, combining probabilistic models, ML, and embedding-based techniques to build the authoritative customer identity graph</li></ul>
<ul><li> Build and optimize large-scale entity matching systems across billions of records and multiple data domains &mdash; ensuring every US adult is accurately represented in CDP</li></ul>
<ul><li> Architect advanced candidate generation and blocking strategies (LSH, phonetic encoding, semantic similarity) that balance precision with computational feasibility at population scale</li></ul>
<ul><li> Design high-precision matching pipelines using ensemble approaches (rules + ML + LLM-based validation) to maximize accuracy of golden customer profiles</li></ul>
<ul><li> Develop scalable clustering and graph-based approaches for unified customer identity resolution with clear confidence scoring and auditability</li></ul>
<ul><li> Lead implementation of embedding pipelines and similarity search systems using transformer models for semantic-level identity matching</li></ul><br>
<p></p>
<p>
This position description identifies the responsibilities and tasks typically associated with the performance of the position. Other relevant essential functions may be required.</p><p><br>
</p><p><b>What you </b><b>need</b><b>:</b></p>
<ul><li> Bachelor's or Master's degree in Computer Science, Data Science, or related field</li></ul>
<ul><li> 6+ years of experience in ML/AI engineering</li></ul>
<ul><li> Proven experience building production-grade entity resolution or identity graph systems at scale</li></ul>
<ul><li> Experience designing LLM-based applications in enterprise environments with high accuracy and trust requirements</li></ul>
<ul><li> Technical Skills:</li></ul>
<ul><li> Advanced programming: Python</li></ul>
<ul><li> Deep expertise in ML algorithms for similarity, classification, and clustering &mdash; particularly in identity resolution contexts</li></ul>
<ul><li> Strong experience with transformer models, embeddings, and semantic search at population scale</li></ul>
<ul><li> Hands-on experience with LLM APIs and orchestration frameworks</li></ul>
<ul><li> Strong SQL and experience with distributed data processing (Spark, Dask)</li></ul>
<ul><li> Experience with vector databases and ANN search systems (FAISS, Pinecone, etc.)</li></ul>
<ul><li> Expertise in ML lifecycle management (MLflow or equivalent)</li></ul>
<ul><li> Understanding of data governance, privacy, and security requirements for customer identity data</li></ul>
<ul><li> Knowledge, Skills, and Abilities</li></ul>
<ul><li> Strong system design and architectural thinking for AI/ML systems at population scale</li></ul>
<ul><li> Ability to balance precision, recall, and scalability in identity resolution systems &mdash; understanding that accuracy directly impacts CDP's authority as the source of truth</li></ul>
<ul><li> Strong understanding of data semantics and customer domain modeling across diverse data sources</li></ul>
<ul><li> Leadership in driving AI engineering best practices, standards, and quality benchmarks</li></ul>
<ul><li> Ability to collaborate across data engineering, product, security, and business teams to deliver trusted customer intelligence</li></ul>
<ul><li> Licenses and Certifications</li></ul><br>
<p></p>
<p>
Compensation can differ depending on factors including but not limited to the specific office location, role, skill set, education, and level of experience. UST provides a reasonable range of compensation for roles that may be hired in various U.S. markets as set forth below.</p>
<p><b>
Role Location:</b><b> </b><b>Georgia</b></p>
<p><b>
Compensation Range</b>: $75,000-$113,000</p><br>
<p></p>
<p><b>
Benefits</b></p>
<p>
Full-time, regular employees accrue a minimum of 10 days of paid vacation per year, receive 6 days of paid sick leave each year (pro-rated for new hires throughout the year), 10 paid holidays, and are eligible for paid bereavement leave and jury duty. They are eligible to participate in the Company&rsquo;s 401(k) Retirement Plan with employer matching. They and their dependents residing in the US are eligible for medical, dental, and vision insurance, as well as the following Company-paid Employee Only benefits: basic life insurance, accidental death and disability insurance, and short- and long-term disability benefits. Regular employees may purchase additional voluntary short-term disability benefits, and participate in a Health Savings Account (HSA) as well as a Flexible Spending Account (FSA) for healthcare, dependent child care, and/or commuting expenses as allowable under IRS guidelines. Benefits offerings vary in Puerto Rico.</p>
<p>
Part-time employees receive 6 days of paid sick leave each year (pro-rated for new hires throughout the year) and are eligible to participate in the Company&rsquo;s 401(k) Retirement Plan with employer matching.</p>
<p>
Full-time temporary employees receive 6 days of paid sick leave each year (pro-rated for new hires throughout the year) and are eligible to participate in the Company&rsquo;s 401(k) program with employer matching. They and their dependents residing in the US are eligible for medical, dental, and vision insurance.</p>
<p>
Part-time temporary employees receive 6 days of paid sick leave each year (pro-rated for new hires throughout the year).</p>
<p>
All US employees who work in a state or locality with more generous paid sick leave benefits than specified here will receive the benefit of those sick leave laws.</p><br>
<p></p>
<p><b>
What we believe:</b></p>
<p>
We proudly embrace the values that have shaped UST since day one. We build our culture of Humility, Humanity, and Integrity. These values inspire us to nurture a people-first, human centric culture that fosters diversity, prioritizes sustainable solutions, and keeps our people and clients at the forefront of all decisions.</p><br>
<p></p>
<p><b>
Humility:</b></p>
<p>
We will listen, learn, be empathetic and help selflessly in our interactions with everyone.</p>
<p><b>
Humanity:</b></p>
<p>
Through business, we will better the lives of those less fortunate than ourselves.</p>
<p><b>
Integrity:</b></p>
<p>
We honor our commitments and act with responsibility in all our relationships.</p><br>
<div></div>
<div><b>
Equal Employment Opportunity Statement</b></div><div><br>
UST is an Equal Opportunity Employer.</div><br>
<div></div>
<p>
All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability, status as a protected veteran, or any other applicable characteristics protected by law. We will consider qualified applicants with arrest or conviction records in accordance with state and local laws and &ldquo;fair chance&rdquo; ordinances.</p>
<div>
UST reserves the right to periodically redefine your roles and responsibilities based on the requirements of the organization and/or your performance.</div><br>
<div></div>
<div>
#UST</div>
<div>
#CB</div>
<div>
#LI-AP4</div></div>
<h3 class="jobSectionHeader"><b>Skills</b></h3>
<div><p>agentic ai,api integration,generative ai,machine learning,</p></div>
<h3 class="jobSectionHeader"><b>Benefits</b></h3>
<h3 class="jobSectionHeader"><p><b>Compensation range: $ 75,000.00 to 113,000.00 per year</b></p></h3></div></div></div><p></p>
<br><div><h3 class="jobSectionHeader"><b>About UST</b></h3>
<div>UST is a global digital transformation solutions provider. For more than 20 years, UST has worked side by side with the world&rsquo;s best companies to make a real impact through transformation. Powered by technology, inspired by people and led by purpose, UST partners with their clients from design to operation. With deep domain expertise and a future-proof philosophy, UST embeds innovation and agility into their clients&rsquo; organizations. With over 30,000 employees in 30 countries, UST builds for boundless impact&mdash;touching billions of lives in the process.</div></div>

Senior AI/ML Engineer — Customer Data Platform

DPR Construction

<p></p><div><h2 class="jobSectionHeader"><b>Job Description
</b></h2><p>Join a dynamic and fast-evolving team that is building next-generation AI-based tools and agent systems for the construction Industry. Our AI and Data Team is focused on designing intelligent AI agents, and copilots using modern AI/ML techniques. You will work closely with cross-functional teams, including business stakeholders, data engineers, and technical leads, to ensure alignment between business needs and data architecture and define data models for specific focus areas.
<br>
<br>
Responsibilities
<br>
<br>
 Build end-to-end Gen AI solutions - develop, refine, and implement advanced Gen AI models and ensure the success delivery of projects
<br>
 Assist in the development and execute comprehensive plans to integrate AI technologies into business processes, aimed at enhancing operational efficiency and boosting employee productivity.
<br>
 Utilize Python and other data manipulation languages proficiently to prepare and manipulate data.
<br>
 Understand the business requirements and translate into Gen AI solution design that successfully meets the business objectives.
<br>
 Collaborate with stakeholders, presenting findings to a non-technical audience and providing strategic recommendations.
<br>
 Ensure the scalability, reliability, and security of AI solutions by implementing best practices for AI model development, deployment, and maintenance.
<br>
 Drive innovation by exploring new AI applications and solutions that can benefit the enterprise, leading research and development efforts to keep DPR at the forefront of AI technology.
<br>
 Follow the roadmap for AI initiatives, ensuring they align with organizational goals and show measurable impact.
<br>
<br>
Qualifications
<br>
 At least 3 years of experience with Software Development, Machine Learning.
<br>
 At least 2 years of experience Generative AI, specifically with Large Language Models (LLM).
<br>
 Experience with generative AI concepts such as Retrieval-Augmented Generation (RAG), agentic workflows, training LLMs with structured and unstructured data sets.
<br>
 Experience with Data Connectors and API gateways that support seamless communication between systems.
<br>
 Deep subject matter expertise in AI technologies, including but not limited to Copilot Studio, OpenAI, Semantic Kernels, Azure AI Foundry, Google Gemini, Microsoft 365, and M365 Copilot or Anthropic or AWS platforms.
<br>
 Familiarity with Cloud computing skills.
<br>
 Strong programming skills in Python and experience with AI/ML frameworks.
<br>
 Proficiency in vector databases and embedding models for retrieval tasks.
<br>
 Understanding of Knowledge Graph is a plus.
<br>
 Possess strong problem-solving and strategic thinking abilities.
<br>
 Strong communicator with the ability to present ideas clearly and influence stakeholders &mdash; with a passion for enabling data-driven transformation.
</p><p><b>Anticipated starting pay range:
</b></p><p><b><i>Nothing is more important than your health and wellness. DPR offers a variety of medical, dental, vision and wellness benefits to keep you healthy. Read more about eligibility and available benefits programs
</i></b></p><p><b><i>for </i></b>skilled craft and labor or experienced professionals and recent graduates .
</p><p>DPR Construction is a forward-thinking, self-performing general contractor specializing in technically complex and sustainable projects for the advanced technology, life sciences, healthcare, higher education and commercial markets. Founded in 1990, DPR is a great story of entrepreneurial success as a private, employee-owned company that has grown into a multi-billion-dollar family of companies with offices around the world.
</p><p></p><p>Working at DPR, you'll have the chance to try new things, explore unique paths and shape your future. Here, we build opportunity together&mdash;by harnessing our talents, enabling curiosity and pursuing our collective ambition to make the best ideas happen. We are proud to be recognized as a great place to work by our talented teammates and leading news organizations like U.S. News and World Report, Forbes, Fast Company and Newsweek.
</p><p></p><p>Explore our open opportunities at www.dpr.com/careers .</p></div>

Machine Learning Engineer

<p></p><div><h2 class="jobSectionHeader"><b>Job Description
</b></h2><p>Join a dynamic and fast-evolving team that is building next-generation AI-based tools and agent systems for the construction Industry. Our AI and Data Team is focused on designing intelligent AI agents, and copilots using modern AI/ML techniques. You will work closely with cross-functional teams, including business stakeholders, data engineers, and technical leads, to ensure alignment between business needs and data architecture and define data models for specific focus areas.
<br>
<br>
Responsibilities
<br>
<br>
 Build end-to-end Gen AI solutions - develop, refine, and implement advanced Gen AI models and ensure the success delivery of projects
<br>
 Assist in the development and execute comprehensive plans to integrate AI technologies into business processes, aimed at enhancing operational efficiency and boosting employee productivity.
<br>
 Utilize Python and other data manipulation languages proficiently to prepare and manipulate data.
<br>
 Understand the business requirements and translate into Gen AI solution design that successfully meets the business objectives.
<br>
 Collaborate with stakeholders, presenting findings to a non-technical audience and providing strategic recommendations.
<br>
 Ensure the scalability, reliability, and security of AI solutions by implementing best practices for AI model development, deployment, and maintenance.
<br>
 Drive innovation by exploring new AI applications and solutions that can benefit the enterprise, leading research and development efforts to keep DPR at the forefront of AI technology.
<br>
 Follow the roadmap for AI initiatives, ensuring they align with organizational goals and show measurable impact.
<br>
<br>
Qualifications
<br>
 At least 3 years of experience with Software Development, Machine Learning.
<br>
 At least 2 years of experience Generative AI, specifically with Large Language Models (LLM).
<br>
 Experience with generative AI concepts such as Retrieval-Augmented Generation (RAG), agentic workflows, training LLMs with structured and unstructured data sets.
<br>
 Experience with Data Connectors and API gateways that support seamless communication between systems.
<br>
 Deep subject matter expertise in AI technologies, including but not limited to Copilot Studio, OpenAI, Semantic Kernels, Azure AI Foundry, Google Gemini, Microsoft 365, and M365 Copilot or Anthropic or AWS platforms.
<br>
 Familiarity with Cloud computing skills.
<br>
 Strong programming skills in Python and experience with AI/ML frameworks.
<br>
 Proficiency in vector databases and embedding models for retrieval tasks.
<br>
 Understanding of Knowledge Graph is a plus.
<br>
 Possess strong problem-solving and strategic thinking abilities.
<br>
 Strong communicator with the ability to present ideas clearly and influence stakeholders &mdash; with a passion for enabling data-driven transformation.
</p><p></p><p>DPR Construction is a forward-thinking, self-performing general contractor specializing in technically complex and sustainable projects for the advanced technology, life sciences, healthcare, higher education and commercial markets. Founded in 1990, DPR is a great story of entrepreneurial success as a private, employee-owned company that has grown into a multi-billion-dollar family of companies with offices around the world.
</p><p></p><p>Working at DPR, you'll have the chance to try new things, explore unique paths and shape your future. Here, we build opportunity together&mdash;by harnessing our talents, enabling curiosity and pursuing our collective ambition to make the best ideas happen. We are proud to be recognized as a great place to work by our talented teammates and leading news organizations like U.S. News and World Report, Forbes, Fast Company and Newsweek.
</p><p></p><p>Explore our open opportunities at www.dpr.com/careers .</p></div>

The Brite Group

<p><b>Job Summary</b><br/>We are seeking a highly experienced Senior Data &amp; AI Consultant to support the Department of the Air Force (DAF) in designing and implementing an enterprise-scale financial data automation ecosystem.</p><p>This role will focus on integrating Financial Management (FM) data sources, automating critical workflows, and enabling advanced analytics and AI-driven capabilities to enhance operational efficiency, reduce redundancy, and accelerate audit readiness.</p><p><b>Key Responsibilities</b></p><ul><li>Design, develop, and optimize scalable data pipelines integrating multiple financial data sources</li><li>Lead the development of automated financial workflows to reduce manual processes</li><li>Perform advanced data analysis using Python, PySpark, and SQL on large-scale datasets</li><li>Architect and implement AI/ML and Generative AI (GenAI) solutions for financial analytics and reporting</li><li>Develop and operationalize Agentic AI use cases for intelligent automation</li><li>Implement and enhance OCR solutions to extract structured data from unstructured documents</li><li>Utilize modern platforms such as Databricks, Palantir, and Microsoft Power Platform</li><li>Build dashboards, reporting solutions, and data visualizations for executive and technical stakeholders</li><li>Collaborate with cross-functional teams including finance, engineering, and government stakeholders</li><li>Present complex technical solutions and insights to leadership in a clear and actionable manner</li></ul><p><b>Required Qualifications</b></p><ul><li>Active or Interim <b>Secret </b>Clearance (required to start)</li><li>Bachelor&rsquo;s degree in Computer Science, Engineering, Data Science, or related field</li><li>8+ years of experience in data engineering, data analytics, or AI/ML development</li></ul><p><b>Strong hands-on expertise in</b>:</p><ul><li>Python (including PySpark)</li><li>SQL</li><li>Proven experience working with large, complex, and distributed datasets</li><li>Hands-on experience implementing OCR technologies in production environments</li></ul><p><b>Strong understanding of</b>:</p><ul><li>Artificial Intelligence and Machine Learning</li><li>Generative AI (GenAI)</li><li>Large Language Models (LLMs) and real-world applications</li><li>Experience with cloud/data platforms such as Databricks, Palantir, or Microsoft Power Platform</li><li>Excellent communication, stakeholder management, and presentation skills</li></ul><p><b>Preferred Qualifications</b></p><ul><li>Experience with Microsoft Power Automate and/or Power Apps</li><li>Prior experience supporting Department of Defense (DoD) or federal government clients</li><li>Knowledge of financial systems, audit readiness, and compliance frameworks</li><li>Experience delivering AI-driven automation solutions in enterprise environments</li></ul><p>Pay: $120,000.00 - $130,000.00 per year</p><p>Benefits:</p><ul><li>401(k)</li><li>Dental insurance</li><li>Health insurance</li><li>Paid time off</li><li>Vision insurance</li></ul><p>Security clearance:</p><ul><li>Secret (Required)</li></ul><p>Work Location: Hybrid remote in Andrews Air Force Base, MD 20762</p>

AI Data Consultant- Sr. Level

Search 7281+ Ai/ml developer jobs near you this April. New roles added regularly across leading industries. Apply today.

7281 ai/ml developer jobs Near Me

AI/ML Developer

ML Engineer

ML Engineer

Senior AI/ML Engineer — Customer Data Platform

Machine Learning Engineer

Machine Learning Engineer

AI Data Consultant- Sr. Level