software engineer

Pivot3

<div><div><b>Pivot3</b> is the leading provider of intelligent hyperconverged infrastructure (HCI) solutions for video surveillance, video analytics, VDI and mixed workloads. Pivot3&rsquo;s solutions provide security, resilience and management simplicity at scale for customers&rsquo; mission-critical environments. With thousands of customers in 64 countries, and deployments in education, hospitality, transportation, government, defense, healthcare, gaming, financial services and retail, Pivot3 is a fast-growing company (recognized by industry analysts Gartner and Forrester as a key HCI vendor) with opportunity for career growth and the ability to make a real impact on shaping the future of the business.</div>
<div></div><div>We are actively recruiting for a Data Path Software Engineer to join our Engineering team. This role will work with Product Management, Quality Engineering and Software Engineering to advance our data path technologies, performance and capability.</div>
<div></div><div><b>Responsibilities</b></div>
<ul><li>Contribute to the design and architecture of new or re-engineered software in our core areas of distributed computing and high-performance storage</li>
<li>Collaborates on and implements architecture recommendations surrounding performance, resiliency, preventive maintenance, and high availability</li>
<li>Identifies and eliminates performance bottlenecks and makes performance-related recommendations (hardware, software, configuration)</li>
<li>Designs and develops major functional or performance enhancements for existing products, or produces new software products or tools</li>
<li>Work closely with Quality Engineering, Product Management and other Engineering teams</li>
<li>Develop, test, and integrate code for new or existing software of significant complexity</li>
<li>Promote and participate in design, efficient code and collaborative code reviews</li>
<li>Provide sustaining or maintenance support to existing software environment, either by implementation or providing guidance to &ldquo;junior&rdquo; engineers</li>
</ul><div><b>Skills/Qualifications/Education</b></div>
<ul><li>B.S. in Computer Engineering, Computer Science or equivalent is strongly preferred</li>
<li>8 - 10 years of experience in a Software Engineer or Senior Software Engineer capacity</li>
<li>Proven and demonstrable experience with C/C++</li>
<li>Strong understanding of storage protocols (iSCSI, SAS/SATA, PCIe) is a big plus</li>
<li>Experience working with Jenkins or similar CI tools</li>
<li>Experience working and integrating with VMware is a plus</li>
<li>Experience with Agile methodologies is strongly preferred</li>
<li>Proficiency with IP networking in Linux environment</li>
<li>Good understanding of performance monitoring and hardware limitations of enterprise level servers</li>
<li>Assertive communication and ability to influence cross functional stakeholders to make best decisions for the company and clients</li>
<li>Strong written and verbal communications are a must</li>
</ul><div><i>Pivot3 is an equal opportunity employer. All candidates for employment will be considered without regard to race, color, religion, sex, national origin, physical or mental disability, veteran status, or any other basis protected by applicable federal, state or local law.</i></div>
<div></div><div><b><i>Staffing/Recruiting/Placement Firms:</i></b> <i>Pivot3 will not accept candidate referrals for this posting and are not responsible for any fees related to unsolicited resumes.</i></div></div>

Senior Software Engineer - Data Path

JPMorganChase

<div><b>JOB DESCRIPTION</b><p><br>
We have an exciting and rewarding opportunity for you to take your software engineering career to the next level.
</p><p>As a Data Software Engineer III at JPMorganChase within the Commercial and Investment Bank, you will partner with Data Scientists to create cloud‑based frameworks for hosting and operating models, applying SDLC and MLOps best practices to ensure reliability, security, and performance. You will leverage both internal and public cloud platforms with a mix of proprietary and open‑source tools, collaborating closely with platform developers and engineering communities to integrate and evolve existing and new technologies</p><p>
</p><p><b>Job responsibilities</b></p><p>
</p><ul><li>Develop and maintain secure, high-quality applications using Python and AWS</li><li>
Produce architecture and design deliverables; contribute to solution design and reviews</li><li>
Integrate AI/ML solutions into complex, domain-specific processing systems</li><li>
Participate in code reviews, design discussions, and agile planning ceremonies</li><li>
Collaborate with SRE and monitoring teams to ensure reliability, performance, and observability</li><li>
Contribute to engineering communities of practice and technology events</li><li>
Embrace continuous learning and creative problem-solving with a can-do mindset</li></ul><p>
</p><p><b>Required qualifications, capabilities, and skills</b></p><p>
</p><ul><li>Formal training in software engineering concepts and 3+ years of applied experience</li><li>
Hands‑on Python application development experience</li><li>
Proven experience developing, debugging, and maintaining production applications</li><li>
Solid understanding of software development best practices including version control, testing, and CI/CD</li><li>
Strong problem-solving, communication, and collaboration skills, with the ability to convey design choices and communicate effectively with stakeholders</li><li>
Familiarity with Machine Learning Operations (MLOps)</li><li>
Experience using AI engineering tools (e.g., GitHub Copilot) for JIRA, documentation, coding, and releases, demonstrating measurable productivity and quality improvements.</li></ul><p>
</p><p><b>Preferred qualifications, capabilities, and skills</b></p><p>
</p><ul><li>AWS (hands-on): Glue, EventBridge, Step Functions, Lambda, ECS, EKS, Kinesis, CloudWatch</li><li>
Outside AWS: Python, Terraform, TigerGraph, graph databases, GitHub Copilot, Airflow, Kubernetes</li><li>
JPMC platforms/tools (highly preferred): Jules/JET, GKP (Gaia Kubernetes), Fusion MLOps</li></ul>
<b>ABOUT US</b><br>
<div>
<div>JPMorganChase, one of the oldest financial institutions, offers innovative financial solutions to millions of consumers, small businesses and many of the world&rsquo;s most prominent corporate, institutional and government clients under the J.P. Morgan and Chase brands. Our history spans over 200 years and today we are a leader in investment banking, consumer and small business banking, commercial banking, financial transaction processing and asset management.
</div><p></p><div><p>We offer a competitive total rewards package including base salary determined based on the role, experience, skill set and location. Those in eligible roles may receive commission-based pay and/or discretionary incentive compensation, paid in the form of cash and/or forfeitable equity, awarded in recognition of individual achievements and contributions. We also offer a range of benefits and programs to meet employee needs, based on eligibility. These benefits include comprehensive health care coverage, on-site health and wellness centers, a retirement savings plan, backup childcare, tuition reimbursement, mental health support, financial coaching and more. Additional details about total compensation and benefits will be provided during the hiring process.
</p><div><p>We recognize that our people are our strength and the diverse talents they bring to our global workforce are directly linked to our success. We are an equal opportunity employer and place a high value on diversity and inclusion at our company. We do not discriminate on the basis of any protected attribute, including race, religion, color, national origin, gender, sexual orientation, gender identity, gender expression, age, marital or veteran status, pregnancy or disability, or any other basis protected under applicable law. We also make reasonable accommodations for applicants&rsquo; and employees&rsquo; religious practices and beliefs, as well as mental health or physical disability needs. Visit our FAQs for more information about requesting an accommodation.</p>
<p>JPMorgan Chase &amp; Co. is an Equal Opportunity Employer, including Disability/Veterans</p><br>
</div></div></div><br>
<br>
<b>ABOUT THE TEAM</b><br>
<br>
J.P. Morgan&rsquo;s Commercial &amp; Investment Bank is a global leader across banking, markets, securities services and payments. Corporations, governments and institutions throughout the world entrust us with their business in more than 100 countries. The Commercial &amp; Investment Bank provides strategic advice, raises capital, manages risk and extends liquidity in markets around the world.</div>

Data Software Engineer III- ML

Bot Auto

<div><h2 class="jobSectionHeader"><b>Company Introduction</b></h2>
<p>
At Bot Auto, we are revolutionizing the transportation of goods with our cutting-edge autonomous trucks, enhancing the quality of life for communities around the globe. With the agility of a start-up and the wisdom of seasoned experts, Bot Auto boasts a team that has achieved numerous world-firsts and unparalleled innovations. United by a shared vision, we create miracles and propel the future of transportation. Join us and transform your dreams into reality.</p>
<h2 class="jobSectionHeader"><b>
About the Role</b></h2>
<p>
We are looking for a motivated and technically strong Software Engineer Intern to join our Data &amp; ML Infrastructure team for the summer. In this role, you will work alongside experienced engineers on real-world systems that power our autonomous driving platform &mdash; spanning full-stack development, data engineering, and machine learning infrastructure. This is a hands-on opportunity to contribute meaningfully to production systems and gain direct exposure to the challenges of building large-scale infrastructure for autonomous vehicles.</p>
<h2 class="jobSectionHeader"><b>
What You'll Do</b></h2>
<p>
As an intern, you will contribute to one or more of the following areas depending on your background and interests:</p>
<p><b>
Full-Stack Development</b> &mdash; Build and improve web-based tools, dashboards, and internal applications that support data monitoring, visualization, and workflow management across our autonomous driving data platform.</p>
<p><b>
Data Infrastructure</b> &mdash; Help build and maintain scalable data collection, ingestion, and transformation pipelines that move data from autonomous systems into our data lake and lakehouse. Work with technologies such as Spark, Delta Lake, and cloud-native services in a hybrid-cloud environment.</p>
<p><b>
ML Infrastructure</b> &mdash; Contribute to the tooling and pipelines that support model evaluation, training data management, annotation workflows, or experiment tracking &mdash; helping accelerate the development and improvement of perception and prediction models.</p>
<h2 class="jobSectionHeader"><b>
Qualifications</b></h2>
<p><b>
Required:</b></p>
<ul>
<li>Currently pursuing a Bachelor's or Master's degree in Computer Science, Engineering, or a related field, with an expected graduation date in 2026 or early 2027.</li>
<li>Strong programming skills in Python.</li>
<li>Foundational knowledge in at least one of: web development (React, TypeScript, FastAPI), data systems (SQL, ETL, distributed processing), or machine learning concepts.</li>
<li>Familiarity with databases such as MySQL or PostgreSQL.</li>
<li>Strong problem-solving skills, intellectual curiosity, and a desire to learn.</li>
<li>Ability to work collaboratively in a fast-paced, cross-functional team environment.</li>
</ul>
<p><b>Highly Preferred:</b></p>
<ul>
<li>Working knowledge of C++.</li>
<li>Experience with cloud platforms (AWS, GCP, or Azure).</li>
<li>Hands-on experience with data processing frameworks such as Spark, Airflow, or similar.</li>
<li>Exposure to ML frameworks (PyTorch, TensorFlow) or MLOps tooling (MLflow, W&amp;B).</li>
<li>Prior coursework or project experience in distributed systems, data engineering, or machine learning.</li>
</ul>
<p><b>Nice to Have:</b></p>
<ul>
<li>Interest in or exposure to autonomous driving, robotics, or computer vision.</li>
<li>Experience with containerization and orchestration tools (Docker, Kubernetes).</li>
<li>Contributions to open-source projects or strong personal/academic project portfolio.</li></ul></div>

Intern, Software Engineer(Data Infrastructure)

<div><b>JOB DESCRIPTION</b><p><br>
You&rsquo;re ready to gain the skills and experience needed to grow within your role and advance your career &mdash; and we have the perfect software engineering opportunity for you.</p><p>
As a Software Engineer II at JPMorganChase within the Corporate Sector, you are part of an agile team that works to enhance, design, and deliver the software components of the firm&rsquo;s state-of-the-art technology products in a secure, stable, and scalable way. As an emerging member of a software engineering team, you design, build, and optimize data solutions that drive actionable insights, while gaining the skills and experience needed to grow within your role.</p><p>
</p><p><b>Job Responsibilities</b></p><ul><li>
Design and optimize scalable data models, ETL/ELT pipelines, and stored procedures for analytics and reporting</li><li>
Build robust SQL across OLTP/OLAP systems; tune queries, indexes, and execution plans for performance</li><li>
Develop BI dashboards and reports; translate business questions into metrics, KPIs, and visualizations</li><li>
Partner with product and operations to define data requirements, ensure quality, and deliver self-serve insights</li><li>
Implement data validation, lineage, and documentation; uphold governance and best practices</li><li>
Conduct exploratory analysis to identify trends, anomalies, and drivers; present clear, actionable findings</li></ul><p>
</p><p><b>Required qualifications, capabilities, and skills</b></p><ul><li>
Formal training or certification on software engineering and database concepts and 3+ years applied experience</li><li>
Advanced SQL and database engineering (e.g., performance tuning, partitioning, indexing, query optimization)</li><li>
Experience with ETL/ELT tools and scripting (e.g., Python, shell) and data warehousing concepts.</li><li>
BI development with at least one enterprise visualization tool</li><li>
Strong understanding of data modeling (star/snowflake), metadata, and KPI design</li><li>
Excellent stakeholder communication and the ability to translate business needs into technical solutions</li></ul><p>
</p><p><b>Preferred qualifications, capabilities, and skills</b></p><ul><li>
Experience with ServiceNow data model/domain knowledge (tables, CMDB, incidents/changes/problems)</li><li>
Proficiency with Tableau expertise (LOD expressions, performance optimization, data blending).</li><li>
Experience with Cloud data platforms (e.g., Snowflake, Databricks) and version-controlled analytics workflows (Git, CI/CD)</li></ul><p>
</p><b>ABOUT US</b><br>
<div>
<div>JPMorganChase, one of the oldest financial institutions, offers innovative financial solutions to millions of consumers, small businesses and many of the world&rsquo;s most prominent corporate, institutional and government clients under the J.P. Morgan and Chase brands. Our history spans over 200 years and today we are a leader in investment banking, consumer and small business banking, commercial banking, financial transaction processing and asset management.
</div><p></p><div><p>We offer a competitive total rewards package including base salary determined based on the role, experience, skill set and location. Those in eligible roles may receive commission-based pay and/or discretionary incentive compensation, paid in the form of cash and/or forfeitable equity, awarded in recognition of individual achievements and contributions. We also offer a range of benefits and programs to meet employee needs, based on eligibility. These benefits include comprehensive health care coverage, on-site health and wellness centers, a retirement savings plan, backup childcare, tuition reimbursement, mental health support, financial coaching and more. Additional details about total compensation and benefits will be provided during the hiring process.
</p><div><p>We recognize that our people are our strength and the diverse talents they bring to our global workforce are directly linked to our success. We are an equal opportunity employer and place a high value on diversity and inclusion at our company. We do not discriminate on the basis of any protected attribute, including race, religion, color, national origin, gender, sexual orientation, gender identity, gender expression, age, marital or veteran status, pregnancy or disability, or any other basis protected under applicable law. We also make reasonable accommodations for applicants&rsquo; and employees&rsquo; religious practices and beliefs, as well as mental health or physical disability needs. Visit our FAQs for more information about requesting an accommodation.</p>
<p>JPMorgan Chase &amp; Co. is an Equal Opportunity Employer, including Disability/Veterans</p><br>
</div></div></div><br>
<br>
<b>ABOUT THE TEAM</b><br>
<br>
Our professionals in our Corporate Functions cover a diverse range of areas from finance and risk to human resources and marketing. Our corporate teams are an essential part of our company, ensuring that we&rsquo;re setting our businesses, clients, customers and employees up for success.</div>

Software Engineer II - Database Developer/BI Analyst

<div><b>JOB DESCRIPTION</b><p><br>
Be an integral part of an agile team that's constantly pushing the envelope to enhance, build, and deliver top-notch technology products.</p><p>
As a Senior Lead Data Engineer at JPMorganChase within the Commercial and Investment Banking, you are an integral part of an agile team that works to enhance, build, and deliver trusted market-leading technology products in a secure, stable, and scalable way. Drive significant business impact through your capabilities and contributions, and apply deep technical expertise and problem-solving methodologies to tackle a diverse array of challenges that span multiple technologies and applications.</p><p>
</p><p><b>Job responsibilities</b></p><div>
</div><ul><li>Regularly provides technical guidance and direction to support the business and its technical teams, contractors, and vendors</li><li>
Develops secure and high-quality production code, and reviews and debugs code written by others</li><li>
Drives decisions that influence the product design, application functionality, and technical operations and processes</li><li>
Serves as a function-wide subject matter expert in one or more areas of focus</li><li>
Actively contributes to the engineering community as an advocate of firmwide frameworks, tools, and practices of the Software Development Life Cycle</li><li>
Influences peers and project decision-makers to consider the use and application of leading-edge technologies</li><li>
Adds to the team culture of diversity, opportunity, inclusion, and respect</li></ul><p>
</p><p><b>Required qualifications, capabilities, and skills</b></p><div>
</div><ul><li>Formal training in software engineering concepts and 10+ years of applied experience.</li><li>
Extensive experience building and operating AWS/public cloud&ndash;based applications.</li><li>
Strong Python programming skills.</li><li>
Proven hands‑on delivery across system design, application development, testing, and operational stability.</li><li>
Proficiency in automation, CI/CD, and all aspects of the SDLC.</li><li>
Experience with pipelines and DAGs for data processing and/or machine learning.</li><li>
Demonstrated proficiency in cloud and AI/ML software practices.</li><li>
Strong problem‑solving, communication, and stakeholder collaboration skills.</li><li>
Familiarity with MLOps practices and tooling.</li><li>
Experience driving adoption of AI engineering tools (e.g., GitHub Copilot) for JIRA, documentation, coding, and releases, with measurable productivity and quality gains.</li></ul><p>
</p><p><b>Preferred qualifications, capabilities, and skills</b></p><p>
</p><ul><li>Experience leading a small team as tech lead and/or manager.</li><li>
Proficiency with AWS (hands-on): SageMaker, Bedrock, Glue, Redshift Serverless, DynamoDB, EventBridge, Step Functions, Lambda, ECS, EKS, Kinesis, CloudWatch</li><li>
Experience with Python, Terraform, GitHub Copilot, Airflow, Kubernetes, Docker, MLflow, Datadog, Dynatrace, MCP.</li><li>
Familiarity with JPMC platforms/tools (highly preferred): Jules/JET, GKP (Gaia Kubernetes), Fusion MLOps</li></ul><p>
</p><p></p><b>ABOUT US</b><br>
<div>
<div>JPMorganChase, one of the oldest financial institutions, offers innovative financial solutions to millions of consumers, small businesses and many of the world&rsquo;s most prominent corporate, institutional and government clients under the J.P. Morgan and Chase brands. Our history spans over 200 years and today we are a leader in investment banking, consumer and small business banking, commercial banking, financial transaction processing and asset management.
</div><p></p><div><p>We offer a competitive total rewards package including base salary determined based on the role, experience, skill set and location. Those in eligible roles may receive commission-based pay and/or discretionary incentive compensation, paid in the form of cash and/or forfeitable equity, awarded in recognition of individual achievements and contributions. We also offer a range of benefits and programs to meet employee needs, based on eligibility. These benefits include comprehensive health care coverage, on-site health and wellness centers, a retirement savings plan, backup childcare, tuition reimbursement, mental health support, financial coaching and more. Additional details about total compensation and benefits will be provided during the hiring process.
</p><div><p>We recognize that our people are our strength and the diverse talents they bring to our global workforce are directly linked to our success. We are an equal opportunity employer and place a high value on diversity and inclusion at our company. We do not discriminate on the basis of any protected attribute, including race, religion, color, national origin, gender, sexual orientation, gender identity, gender expression, age, marital or veteran status, pregnancy or disability, or any other basis protected under applicable law. We also make reasonable accommodations for applicants&rsquo; and employees&rsquo; religious practices and beliefs, as well as mental health or physical disability needs. Visit our FAQs for more information about requesting an accommodation.</p>
<p>JPMorgan Chase &amp; Co. is an Equal Opportunity Employer, including Disability/Veterans</p><br>
</div></div></div><br>
<br>
<b>ABOUT THE TEAM</b><br>
<br>
J.P. Morgan&rsquo;s Commercial &amp; Investment Bank is a global leader across banking, markets, securities services and payments. Corporations, governments and institutions throughout the world entrust us with their business in more than 100 countries. The Commercial &amp; Investment Bank provides strategic advice, raises capital, manages risk and extends liquidity in markets around the world.</div>

Sr. Lead Data Engineer - AI/ML

Engineers & Constructors International

<div>Join the ECI Group's Professional Technical Services Network as an<i> </i><b><i>AI Engineer [Trading Analytics &amp; Data Engineering]</i></b><i>. </i>This is a Houston based contract role with an anticipated May 5, 2026 start date and ending on December 31, 2026. <b><i>Note: You must be a US Citizen or Permanent US Resident to qualify for this position.</i></b><br>
<br>
<i>About the role</i><br>
We're hiring an AI Engineer with a strong data engineering foundation and excellent communication skills&mdash;ideally with commodity or financial trading experience. You'll partner with traders and trading analysts to rapidly build AI powered analytics over market pricing and fundamentals data, using Databricks and Spark to deliver value at speed.<br>
<br>
<i>What you'll do:</i><ul><li>
Design and ship AI driven analytics for front office use (seasonality, correlation, regression, forecasting, scenario modelling).</li><li>
Build reusable and scalable data pipelines in Databricks (PySpark/Spark, Delta/Unity Catalog), optimizing cost, reliability, and performance.</li><li>
Run statistical/econometric analyses on large datasets (e.g., market &amp; fundamental time series data).</li><li>
Collaborate directly with traders/analysts&mdash;translate ambiguous questions into shippable solutions; communicate insights clearly.</li><li>
Implement LLM/agentic workflows: prompt engineering, LangGraph orchestration, MCP integrations, tool calling, retrieval, and guardrails.</li><li>
Productionize solutions with testing, observability, versioning, and documentation.</li></ul>
<br>
<i>What you'll bring:</i><ul><li>
Hands on Databricks + Spark expertise (PySpark, SQL, Delta, Unity Catalog).</li><li>
Proven data engineering skills (ingestion, modelling, orchestration, performance tuning).</li><li>
Strong statistics/economics/data science fundamentals for market time series.</li><li>
Experience building LLM solutions (prompting, retrieval, agent flows; LangGraph, MCP) and integrating with trading data/services.</li><li>
Experience with CI/CD, Terraform, MLflow/feature stores, vector DBs, and governance (PII handling, data lineage).</li><li>
Excellent stakeholder skills; able to work on desk with traders/analysts and deliver fast.</li></ul><br>
<i>
Nice to have:</i><ul><li>
Background in commodity or financial trading.</li><li>
Familiarity with market microstructure, supply demand fundamentals, risk management.</li></ul>
<br>
Ways of working<ul><li>
Hybrid; high touch collaboration with trading teams.</li><li>
Bias to prototype fast, iterate with users, and harden to production.</li><li>
Maintain operational stability of production pipelines using secure, modern CI/CD engineering practices &mdash; with automated testing, quality gates, and built in reliability across development, security, and operations.</li></ul><br>
<b><i>
Please Note: The ECI Group uses AI-assisted tools in the early stages of application review, with all decisions guided by human oversight and fully compliant with General Data Protection Regulation (GDPR) and ECI Group's applicable data protection policies and Privacy Notice.</i></b><br>
<p>
</p><p>3OUjqTPrbd</p></div>

AI Engineer [Trading Analytics & Data Engineering]

YO IT Consulting

<div>
 <strong>
  Job Title:
 </strong>
 AI/ML Engineer
 <br/>
 <br/>
 <strong>
  Job Type:
 </strong>
 Full-Time
 <br/>
 <br/>
 <strong>
  Job Summary
  <br/>
  <br/>
 </strong>
 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.
 <br/>
 <br/>
 <strong>
  Key Responsibilities
  <br/>
  <br/>
 </strong>
 <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.
   <br/>
   <br/>
  </li>
 </ul>
 <strong>
  Required Skills And Qualifications
  <br/>
  <br/>
 </strong>
 <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.
   <br/>
   <br/>
  </li>
 </ul>
 <strong>
  Preferred Qualifications
  <br/>
  <br/>
 </strong>
 <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

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