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YO IT Consulting

<div>
 
 Job Title:
 
 AI/ML Engineer
 
 
 
 Job Type:
 
 Full-Time
 
 
 
 Job Summary
 
 
 
 Join our team as a AI/ML Engineer and play a pivotal role in driving mission-critical government initiatives while also contributing to proprietary AI infrastructure, you&rsquo;ll harness advanced large language models (LLMs), retrieval-augmented generation (RAG), and multi-agent orchestration to deliver secure, scalable, and impactful machine learning systems. You&rsquo;ll work closely with cross-functional experts, leveraging frontier AI platforms and the latest in agentic AI tooling.
 
 
 
 Key Responsibilities
 
 
 
 <ul>
 <li>
 Design, implement, and optimize AI/ML models particularly leveraging LLMs, RAG, and prompt engineering for production grade applications.
 </li>
 <li>
 Develop and orchestrate multi-agent systems using frameworks such as LangGraph and LangChain.
 </li>
 <li>
 Integrate and deploy solutions on secure cloud environments, including AWS GovCloud, Google GovCloud, Azure IL5+, Vertex AI, and AWS Bedrock.
 </li>
 <li>
 Build robust data pipelines, manage ETL processes, and develop metadata catalogs and ontologies to ensure high-quality data for AI training and inference.
 </li>
 <li>
 Create and maintain REST APIs and SDK integrations to facilitate seamless data and model interactions.
 </li>
 <li>
 Collaborate with product, security, and engineering teams to ensure best-in-class delivery, following secure coding and DevOps best practices (CI/CD).
 </li>
 <li>
 Document technical decisions and communicate complex concepts clearly to both technical and non-technical stakeholders.
 
 
 </li>
 </ul>
 
 Required Skills And Qualifications
 
 
 
 <ul>
 <li>
 Proficiency in Python for AI/ML development, including experience with REST APIs and SDK integration.
 </li>
 <li>
 Hands-on experience with LLMs, RAG systems, and prompt engineering in production environments.
 </li>
 <li>
 Familiarity with multi-agent orchestration, tool use, and frameworks like LangGraph and LangChain.
 </li>
 <li>
 Deep understanding of cloud AI services (AWS GovCloud, Google GovCloud, Azure IL5+, Vertex AI, AWS Bedrock).
 </li>
 <li>
 Background in building and maintaining data pipelines, ontologies, metadata catalogs, and ETL processes.
 </li>
 <li>
 Strong grasp of secure coding and modern DevOps practices (CI/CD pipelines).
 </li>
 <li>
 Exceptional written and verbal communication skills for effective collaboration and documentation.
 
 
 </li>
 </ul>
 
 Preferred Qualifications
 
 
 
 <ul>
 <li>
 Experience with AI/agentic platforms, such as Anthropic for Gov, OpenAI Enterprise, Gemini Enterprise, or Grok Enterprise.
 </li>
 <li>
 Knowledge of metadata catalog platforms (MCP) and advanced API development techniques.
 </li>
 <li>
 Prior exposure to government or highly regulated cloud environments and compliance standards.
 </li>
 </ul>
</div>

Machine Learning Engineer – Remote

Openkyber

<div>AI Engineer Bellevue, WA (Hybrid) Contract 10+ to 15+ Years Experience Role Responsibility:
<ul><li>Design and implement RAG pipelines using hybrid search vector keyword semantic ranking and metadata enrichment</li>
<li>Apply chunking strategies fixed size recursive semantic agentic to optimize document segmentation for retrieval and embedding</li>
<li>Finetune and evaluate LLMs eg GPT LLaMA Ollama for tasks such as QA summarization NER and sentiment analysis</li>
<li>Build multiagentic systems</li>
<li>Integrate AI capabilities into enterprise applications using Azure OpenAI Azure Foundry AI Search Azure Functions and Power Automate</li>
<li>Collaborate with stakeholders to translate business needs into scalable AI solutions</li>
<li>Ensure model reliability performance and ethical compliance across deployments</li>
<li>Coordinate and manage the Offshore teamwork</li>
<li>Participate and develop reports for the Weekly Status Reports Monthly Status Reports and Quarterly Status reports</li>
<li>Participate in SCRUM and retrospectives</li>
<li>Develop maintain and enhance the build and release process</li>
<li>Manage security compliance of the Azure Subscription resources</li>
</ul>Skills 10 years of experience as Fullstack developer and have strong AI Skills with experience of Digital Assistant and Azure Foundry agent building and publishing
Programming Languages C Python experience in building and consuming APIs
Cloud Expertise Azure Cloud experience
AI Platforms Microsoft Copilot Studio Azure Foundry
Generative AI Experience with generative AI frameworks for building solutions and evaluation
AI Agent Development Experience in building AI agents understanding of Agentic AI concepts
Automation Tools Experience with Power Automate and automation driven solutions
DevOps Tools Azure DevOps ADO experience
Azure AI Services Experience and Knowledge of services such as Azure AI Foundry Azure AI Search and related services
Prompt Engineering Skills in designing and optimizing prompts for AI models Agents
Embeddings Familiarity with different embeddings generation techniques
Evaluation Framework Evaluating the AI Agent responses and fine tuning it
SDK Experience Handson experience with AI SDKs and APIs for solution development
For applications and inquiries, contact: hirings@openkyber.com</div>

OpenAM

Indev

InDev is seeking a Data Engineer with 6+ years of experience to join our team in designing, implementing, and optimizing data architectures and pipelines. You will work closely with our Department of Homeland Security (DHS) client, to build and manage data infrastructure that supports advanced data analytics, AI, machine learning, and automation initiatives aimed at enhancing operations, reducing costs, and improving efficiency.This role specifically involves hands-on configuration (e.g., AWS tools, Airflow) and development (e.g., Python, R) for data that supports our Chief Financial Officer customer. In addition, you will work directly with senior executives and leaders to provide architecture, design, and technical advice for new initiatives (e.g., chatbots, automations, analytics)YOUR FUTURE DUTIES AND RESPONSIBILITIES<ul><li>Design, develop, and optimize data pipelines and architectures that support data-driven decision-making across AI and ML initiatives</li><li>Collaborate with data scientists, analysts, and other stakeholders to ensure data availability, integrity, and quality</li><li>Implement ETL (Extract, Transform, Load) processes to integrate data from various sources into centralized systems</li><li>Design, develop and maintain data models to support advanced analytics initiatives, AI/ML, Generative AI, and predictive analytics</li><li>Ensure data security and compliance with federal regulations, including managing sensitive and classified data</li><li>Monitor and maintain data pipelines to ensure continuous data flow and resolve any data-related issues</li><li>Collaborate with cross-functional teams to identify and integrate new data sources and optimize data management practices</li><li>Stay current with industry trends and emerging technologies in data engineering, cloud infrastructure, and big data processing</li><li>Perform other related duties as required to support the mission</li><li>Design and create interactive dashboards and reports using Tableau and Power BI</li><li>Present findings in a clear, concise manner tailored to both technical and non-technical audiences</li><li>Work with relational databases (e.g., Oracle, PostgreSQL, MySQL, Redshift) to support data integrity and consistency</li><li>Automate routine data processes using a variety of scripts and tools. (e.g., Python, Airflow, SQL, AWS)</li><li>Leverage AWS Cloud services (e.g., S3, EC2, RDS, Lambda) for data processing, storage, and retrieval</li><li>Ability to guide and support cloud modernization of data processes</li><li>Collaborate with cross-functional teams, including engineers, analysts, and business stakeholders</li><li>Clearly articulate analytical concepts and results to a wide range of audiences</li><li>Contribute to and present client-facing presentations and written reports</li></ul>QUALIFICATIONS<ul><li>Bachelor&rsquo;s Degree in Mathematics, Computer Science, Information Systems, or a related discipline from an accredited institution in the United States.</li><li>6+ years of progressive experience in data science, advanced analytics, data visualization, and reporting, with demonstrated ownership of analytical solutions from concept through delivery and operationalization.</li><li>Proven ability to lead the design, development, and deployment of data-driven solutions, including AI/ML models, predictive analytics, and business intelligence products, in production environments.</li><li>Advanced proficiency in Python for data manipulation, automation, and development of scalable analytical workflows.</li><li>Strong expertise in SQL and relational databases (e.g., Oracle, PostgreSQL, MySQL), with the ability to design efficient data models and support complex data integration needs.</li><li>Extensive experience developing automated data pipelines and analytics workflows using Python, R, SQL, and related tools, with a focus on scalability, reliability, and maintainability (e.g., Pandas, R Shiny)</li><li>Hands-on experience leveraging cloud services (e.g., S3, EC2, RDS, Lambda) to design and implement data processing, storage, and analytics solutions.</li><li>Demonstrated ability to design and deliver impactful data visualizations and dashboards using Tableau and/or Power BI, with a strong emphasis on data storytelling and executive-level communication.</li><li>Experience leading or significantly contributing to the full analytics lifecycle, including problem framing, data acquisition, modeling, validation, deployment, and performance monitoring.</li><li>Ability to operate independently in ambiguous environments, translating complex business challenges into structured analytical approaches and actionable insights.</li><li>Strong collaboration and leadership skills, with experience guiding cross-functional teams and influencing stakeholders at multiple levels of the organization.</li><li>Excellent written and verbal communication skills, with the ability to clearly articulate technical concepts to both technical and non-technical audiences.</li><li>Familiarity with modern software development practices, including version control (e.g., Git), testing, and iterative development methodologies.</li><li>Experience developing prototypes and proof-of-concept solutions, with the ability to rapidly iterate and transition solutions into production-ready systems is strongly preferred.</li></ul>NICE TO HAVES<ul><li>Prior experience working with ETL tools like Informatica, Talend, or Airflow</li><li>Experience with big data technologies (e.g., Hadoop, Spark, Kafka) and distributed systems</li><li>Familiarity with automation tools (e.g., UiPath, Power Automate) and their integration into data pipelines</li><li>Experience working in environments requiring DHS Suitability Clearance is highly preferred.</li><li>Strong knowledge of change management processes and technologies (e.g., GitHub)</li><li>Experience modeling and analyzing big data in cloud environments.</li><li>Demonstrated experience developing prototypes and proof-of-concept applications or software from end-to-end.</li><li>Knowledge of federal data governance standards, compliance requirements, frameworks, and best practices.</li></ul>ABOUT USAt InDev, we&rsquo;re not just a company; we&rsquo;re a trailblazing force transforming the way data shapes the future. As a dynamic player in the federal government sector, we&rsquo;re on a mission to empower agencies with cutting-edge data solutions that drive innovation, efficiency, and progress. Our team thrives on collaboration, innovation, and embracing challenges head-on to create a meaningful impact on the world around us.WHY INDEV<ul><li>Innovative Environment: Join a team that thrives on creativity and innovation, where your ideas are not only heard but encouraged.</li><li>Meaningful Impact: Contribute to projects that directly impact federal agencies, driving positive change on a national scale.</li><li>Dynamic Collaboration: Work alongside diverse experts who are passionate about pushing boundaries and making a difference.</li><li>Agile Mindset: Embrace Agile methodologies that encourage flexibility, adaptability, and rapid growth.</li><li>Learning Culture: Enjoy ongoing learning opportunities and professional development to expand your skill set.</li><li>Cutting-edge Tech: Engage with the latest technologies and tools in the data integration landscape.</li></ul>If you&rsquo;re ready to embark on a journey of innovation, collaboration, and impact, InDev welcomes you to join our team. Let&rsquo;s shape the future together.Pay: From $130,000.00 per yearBenefits:<ul><li>401(k)</li><li>Dental insurance</li><li>Health insurance</li><li>Paid time off</li></ul>Work Location: Hybrid remote in Washington, DC 20229

Data Engineer

Citian

<div><div>Citian is a fast growing, venture backed SaaS technology company based in Washington, DC. Our software solutions revolutionize how our transportation and infrastructure systems &ndash; roads, rail, transit, bicycle, pedestrian &ndash; operate. 


Our tech solutions:
<ul>
<li>Reduce traffic fatalities</li>
<li>Enhance pedestrian accessibility</li>
<li>Empower system operators to save time &amp; money</li></ul> 


You'll work with some of the brightest minds in the software and transportation industries. Our engineers and data scientists apply the latest in emerging tech, Artificial Intelligence, and Machine Learning to build smarter, more advanced tools for our diverse client base. We work with clients across the United States, with global ambitions in the years ahead.</div>
Who You Are:

As an AI Integration Lead at Citian, you'll lead efforts incorporating AI into our products, bridging civil engineering domain knowledge with practical AI implementation. You will work alongside our Engineering, Data, and Research teams to build scalable processes and find solutions to improve our data integrity. You will be expected to prototype ideas, assess third-party tools and models, and translate technical findings into actionable product decisions. You are resourceful, innovative, and continuously seek opportunities to improve processes and drive efficiency. Your strong communication and collaboration skills enable you to work effectively with cross-functional teams and stakeholders. If you are passionate about applied AI Engineering and are eager to contribute to the success of a startup, we would love to hear from you. 


Expected Duties:
<ul>
<li>Serve as the domain bridge between civil/transportation engineering knowledge and AI capabilities, evaluating whether AI outputs meet real-world infrastructure standards and directing the team accordingly.</li>
<li>You will help to balance product strategy and research by working with our research team on prompting techniques, model capabilities, domain specific finetuning</li>
<li>Help lead our efforts to get models to perform how we want them to, including enabling models with tool use and other techniques to get the best out of the LLMs.</li>
<li>Work closely with our Data team and specific datasets that can be used for continued pre-training, RLHF, in-context-learning (ICL), and other applications.</li>
<li>Lead AI image recognition and computer vision strategies for infrastructure asset data extraction assessing model approaches, overseeing implementation, and validating outputs against domain benchmarks.</li>
<li>Contribute to fine-tuning strategy for transportation/infrastructure-specific models by collaborating with the research team on domain adaptation, benchmarking, and model evaluation.</li>
<li>Evaluate and recommend third-party AI tools, APIs, and foundation models relevant to Citian's use cases, balancing build vs. buy tradeoffs in coordination with Engineering.</li>
<li>Own and manage the application of AI to QA/QC processes; directing strategy, evaluating outputs for domain accuracy, and iterating with the Data team to continuously improve data quality and integrity.</li></ul> 


Required Skills &amp; Experience:
<ul>
<li>Bachelor's in Computer Science, Data Science, or related field</li>
<li>5+ years of professional experience through work or personal projects</li>
<li>3+ years of AI focused experience ideally within a product environment</li>
<li>Strong understanding of Computer Science topics such as optimization and algorithms</li>
<li>Understanding of Python/SQL code and ability to retrieve and store data safely through a back end</li>
<li>Familiarity with RESTful APIs and back-end concepts sufficient to prototype, test, and evaluate integrations. Hands-on implementation experience a plus but not required.</li>
<li>Experience with cloud services, specifically AWS, and the ability to leverage its features for scalable back-end AI solutions is highly desired. (S3, Lambda Functions)</li>
<li>Experience with computer vision or AI image recognition applications, even at a prototyping or evaluation level.</li>
<li>Meaningful exposure to civil engineering, transportation infrastructure, or geospatial data, sufficient to critically evaluate AI outputs in these domains and communicate credibly with domain experts.</li>
<li>Capacity to communicate solutions with teammates</li>
</ul><div>
Your Citian Advantage:
<ul>
<li>Competitive salary and benefits package including medical, dental, and vision insurance and generous PTO.</li>
<li>401(k) company match and monthly commuter transportation benefit</li>
<li>On-site gym and free snacks in the office</li>
<li>High-growth potential and opportunities for advancement within a fast growing, venture-backed SaaS startup!</li></ul> 


Let's build smarter cities together! Learn more about Citian here: www.citian.co 


** Citian is an organization committed to diversity and inclusion to drive our business results and create a better future every day for our diverse employees, clients, partners, and communities. We believe a diverse workforce allows us to match our growth ambitions and drive inclusion across the business. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, age, national origin, or protected veteran status and will not be discriminated against on the basis of disability.

Equal Opportunity/Affirmative Action Employer Minorities/Females/Protected Veterans/Persons with Disabilities</div></div>

AI Integration Lead

Centene

<div>You could be the one who changes everything for our 28 million members by using technology to improve health outcomes around the world. As a diversified, national organization, Centene's technology professionals have access to competitive benefits including a fresh perspective on workplace flexibility. 
Must be authorized to work in the U.S. without the need for employment-based visa sponsorship now or in the future. Sponsorship and future sponsorship are not available for this opportunity, including employment-based visa types H-1B, L-1, O-1, H-1B1, F-1, J-1, OPT, or CPT.
Position Purpose: Designs and develops scalable solutions using AI tools and machine-learning models. Performs research and testing to develop machine learning algorithms and predictive models. Utilizes big data computation and storage tools to create prototypes and datasets. Conducts model training and evaluation. Integrates, tests, tunes, and monitors solutions.<ul><li>
Leads the design, development, and research around complex Machine Learning (ML) systems, models, and schemes to apply to appropriate datasets for data modeling and statistical analysis</li><li>
Identifies differences in data distribution that could affect model performance in real-world situations</li><li>
Analyzes large and complex use cases of ML algorithms and apply findings to enable business decisions by deriving insights through data visualization</li><li>
Leads the maintenance and support of ML/AI software platforms by reviewing and solving issues and running ML/AI models</li><li>
Communicates business objectives and develop complex models that help to achieve them, along with metrics to track their progress</li><li>
Leads the writing of complex software documentation and complex software code to extract data from a variety of databases and data sources</li><li>
Manages available resources such as hardware, data, and personnel so that deadlines are met and deploy predictive models using established software patterns</li><li>
Leads the analysis of the ML algorithms that could be used to solve a given problem and rank them by their success probability</li><li>
Explores and visualizes data to gain an understanding of it and verify data quality, and/or ensure data quality via data cleaning</li><li>
Analyzes errors of the model and implements strategies to overcome errors</li><li>
Performs other duties as assigned</li><li>
Complies with all policies and standards</li></ul>
Education/Experience: A Bachelor's degree in a quantitative or business field (e.g., statistics, mathematics, engineering, computer science) and requires 5 &ndash; 7 years of related experience. Or equivalent experience acquired through accomplishments of applicable knowledge, duties, scope and skill reflective of the level of this position. 
Technical Skills:<ul><li>
Experience with one or more of the following: C#, Database Design, Java, JavaScript, Machine Learning and Machine Learning Algorithms, Python, R (Programming Language), SQL, Statistics</li><li>
Experience with Continuous Integration, Linux and Predictive Modelling</li><li>
Experience with compute clouds, creating database schemas, continuous deployment</li><li>
Experience building ML/AI models using common methods within R and Python</li><li>
Knowledge of Open CV Linux</li></ul>
Soft Skills:<ul><li>
Seeks to acquire knowledge in area of specialty</li><li>
Ability to identify basic problems and procedural irregularities, collect data, establish facts, and draw valid conclusions</li><li>
Ability to work independently</li><li>
Demonstrated analytical skills</li><li>
Demonstrated project management skills</li><li>
Demonstrates a high level of accuracy, even under pressure</li><li>
Demonstrates excellent judgment and decision making skills</li><li>
Ability to communicate and make recommendations to upper management</li><li>
Ability to drive multiple projects to successful completion</li></ul>
Pay Range: $121,500.00 - $224,900.00 per year
Centene offers a comprehensive benefits package including: competitive pay, health insurance, 401K and stock purchase plans, tuition reimbursement, paid time off plus holidays, and a flexible approach to work with remote, hybrid, field or office work schedules. Actual pay will be adjusted based on an individual's skills, experience, education, and other job-related factors permitted by law, including full-time or part-time status. Total compensation may also include additional forms of incentives. Benefits may be subject to program eligibility.
Centene is an equal opportunity employer that is committed to diversity, and values the ways in which we are different. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability, veteran status, or other characteristic protected by applicable law. 
Qualified applicants with arrest or conviction records will be considered in accordance with the LA County Ordinance and the California Fair Chance Act</div>

Lead Machine Learning Engineer

<div>Full Stack Data Scientist Washington DC Key Responsibilities Required Qualifications:
Proven hands-on experience (6+ years preferred) in production-ready models and applications that solve real business problems while actively participating in MLOps to ensure solutions operate reliably in production.
Strong experience in statistical modeling, machine learning, AI, and applied analytics.
Advanced proficiency in Python, ML libraries, SQL, and big data processing (e.g. pandas, NumPy, scikit-learn, TensorFlow, PySpark ).
Experience writing production-ready, maintainable code and application design.
Strong experience with AWS cloud ML platforms (e.g., AWS SageMaker, MLFlow, S3, compute services, Redshift).
Experience with model deployment and MLOps practices
Strong problem-solving and communication skills.
For applications and inquiries, contact: hirings@openkyber.com</div>

MLOps

Informatica

<div><h2 class="jobSectionHeader">Description</h2>
We are seeking a Senior Lead Data Platform Engineer to drive the technical implementation of Trust and Data Governance within our Customer Success Data Platform. In this role, you will architect systems that ensure our product and customer data&mdash;both structured and unstructured&mdash;is reliable, compliant, and AI-ready. You&rsquo;ll work at the intersection of data engineering, metadata management, and AI, building frameworks that empower our enterprise to innovate with confidence.
Our ideal candidate has extensive engineering experience, a strong track record of implementing data governance at scale, and a passion for enabling AI-ready data platforms.
What You&rsquo;ll Do
1. Architect Governance for AI Readiness<ul><li>
Define and execute the technical strategy for data trust, ensuring both structured metrics and unstructured datasets are AI-ready.</li><li>
Build and scale discovery capabilities and metadata frameworks so users can find and apply trusted datasets efficiently.</li><li>
Improve data quality through well-governed instrumentation and schema practices across the platform.</li></ul>
2. Metadata &amp; Semantic Engineering<ul><li>
Design and implement automated ways to expose data quality and usability metadata through knowledge graphs.</li><li>
Enable semantic understanding and automated reasoning to accelerate AI-powered application development.</li><li>
Manage metadata as a product, leveraging Graph Databases or ontology management tools to bridge raw data and AI agents.</li></ul>
3. Frameworks &amp; Compliance<ul><li>
Establish and maintain quality assessment frameworks, benchmarks, and automated reporting to align with global data standards.</li><li>
Implement technical controls for data retention, access, and classification.</li><li>
Ensure the platform meets rigorous external regulatory requirements, including GDPR, CCPA, and SOX.</li></ul>
4. Champion the Data Marketplace<ul><li>
Operate the platform as a two-sided marketplace, supporting both data engineers producing data and application developers consuming it.</li><li>
Partner with users to understand pain points in data usability and build solutions that reduce time-to-find and time-to-use.</li></ul>
What We&rsquo;re Looking For
Engineering Expertise<ul><li>
8+ years in data platform or infrastructure engineering, with experience in data streaming, telemetry, or observability domains.</li></ul>
Governance Mastery<ul><li>
Proven track record implementing internal data policies (classification, access) and external regulations (GDPR, CCPA).</li></ul>
Technical Proficiency<ul><li>
Deep knowledge of event-driven architectures, instrumentation schemas, Kafka, and real-time data pipelines.</li><li>
Hands-on experience with Graph Databases or Ontology management to support AI consumption.</li><li>
Experience in the Salesforce ecosystem (Data360, Agentforce, Service Cloud, etc.) is a plus.</li></ul>
Strategic Execution<ul><li>
Ability to align technical roadmaps with industry trends and deliver high-impact features in complex enterprise environments.</li></ul>
Communication<ul><li>
Exceptional skill in distilling technical complexity for diverse audiences and driving functional alignment.</li></ul>
Why Join This Team?
At Salesforce, we are shaping the future of business at the intersection of AI + Data + CRM. You will be at the heart of this mission, building the foundation of trust that enables our global customers to innovate and succeed. Join us to empower enterprise-scale AI initiatives with data you can trust.</div>

Lead, Data Platform Engineer - Data Governance

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