ai/ml lead

General Dynamics Information Technology

<p></p><div><div><div><p>Your Impact</p><p>
Own your opportunity to work alongside federal civilian agencies. Make an impact by providing services that help the government ensure the well being and support of U.S. citizens.</p><p>
Job Description</p><div><p>
At GDIT, we deliver clarity with cloud, AI, and data-driven solutions that modernize mission‑critical systems for federal clients. We are seeking an experienced AI/ML Lead Software Engineer to design, develop, and deploy advanced machine learning and AI solutions. You will partner with data scientists and engineers to build scalable systems, integrate AI into enterprise platforms, and deliver production-ready capabilities.</p><p></p><p>
How You&rsquo;ll Make an Impact</p><ul><li>
Design and implement machine learning models for use cases including predictive analytics, NLP, computer vision, and recommendation systems.</li><li>
Collect, clean, and preprocess large structured and unstructured datasets; ensure data quality and relevance.</li><li>
Train, validate, and optimize models using modern frameworks and best practices.</li><li>
Engineer features and apply domain knowledge to improve model accuracy and generalization.</li><li>
Deploy models to production and integrate them with enterprise applications, APIs, and MLOps workflows.</li><li>
Build scalable solutions for batch or real-time inference; package, version, and automate deployments with CI/CD.</li><li>
Monitor production models for drift, performance, reliability, and trigger retraining as needed.</li><li>
Document technical designs, data lineage, assumptions, and best practices.</li><li>
Collaborate with cross-functional teams to understand requirements and deliver impactful AI capabilities.</li><li>
Provide guidance to junior team members and serve as a task or team lead when needed.</li><li>
Work independently with general supervision.</li></ul><p></p><p>
Required Education / Skills</p><ul><li>
Bachelor&rsquo;s degree and 8+ years of experience.</li><li>
Hands-on experience with Alteryx.</li><li>
Strong Python skills (Pandas, NumPy, scikit-learn) and SQL expertise.</li><li>
Solid understanding of statistics (probability, hypothesis testing, regression, A/B testing).</li><li>
Experience across the full ML lifecycle: feature engineering, training, evaluation, deployment, and monitoring.</li><li>
Data wrangling and pipeline development (ETL/ELT) for large and complex datasets.</li><li>
Model evaluation (metrics selection, bias/variance, error analysis).</li><li>
MLOps integration and experience with API-based AI services.</li><li>
Production deployment experience including packaging, versioning, CI/CD, and monitoring (drift, performance).</li><li>
Experience with at least one major cloud platform (Azure, AWS, or GCP).</li><li>
Familiarity with Docker and Git.</li><li>
Data visualization skills (Power BI or Tableau).</li><li>
Strong system analysis abilities to identify AI use cases.</li><li>
Clear communication of technical concepts and business value.</li><li>
Knowledge of Responsible AI principles and data security practices.</li><li>
Ability to support 24x7 environments when required.</li></ul><p></p><p>
Preferred Skills</p><ul><li>
Experience with large language models (Azure OpenAI, OpenAI API), prompt engineering, and LLM quality/safety evaluation.</li><li>
Experience with RAG pipelines and vector databases (Azure AI Search, Pinecone, FAISS).</li><li>
Knowledge of LLM fine‑tuning and domain adaptation.</li><li>
Experience with experiment tracking/orchestration tools (MLflow, Weights &amp; Biases).</li><li>
Kubernetes and ML deployment tools (AKS, EKS, Argo, KServe).</li><li>
Feature stores, A/B testing frameworks, and streaming platforms (Kafka, Kinesis).</li><li>
CI/CD and IaC tools (GitHub Actions, Azure DevOps, Terraform, Bicep).</li><li>
Experience with Databricks, Snowflake, or BigQuery.</li><li>
Strong API development (REST/GraphQL) for ML workloads.</li><li>
Monitoring/observability tools (Prometheus, Grafana).</li><li>
Responsible AI tools (SHAP, LIME) and model risk management.</li><li>
Knowledge of privacy-by-design, PII handling, and regulated environments (e.g., FedRAMP).</li><li>
Experience with R, PySpark, or Scala for large-scale data workloads.</li><li>
Experience with LangChain or Semantic Kernel for LLM applications.</li><li>
Advanced Power BI or Tableau (parameterized dashboards, row-level security).</li></ul><p></p><p>
Location: This is a hybrid role that requires 3 days per week at the client site in Southwest Washington DC.</p><p></p><p>
Visa Sponsorship Will Not Be Provided for This Position</p><p></p><p>
Clearance: Candidates must be eligible to obtain a federal security clearance</p><p></p><p>
GDIT IS YOUR PLACE:</p><ul><li><p>
Full-flex work week to own your priorities at work and at home</p></li><li><p>
401K with company match</p></li><li><p>
Comprehensive health and wellness packages</p></li><li><p>
Internal mobility team dedicated to helping you own your career</p></li><li><p>
Professional growth opportunities including paid education and certifications</p></li><li><p>
Cutting-edge technology you can learn from</p></li><li><p>
Rest and recharge with paid vacation and holidays</p></li></ul>
</div></div><div><div><div><p>Work Requirements</p></div></div><div></div><div><div>
Years of Experience<div>
8 + years of related experience</div><ul><li>may vary based on technical training, certification(s), <i>or</i> degree</li></ul></div><div></div><div>
Certification</div><p></p><div>
Travel Required<div>
None</div></div></div></div></div><div><p>
Salary and Benefit Information</p><div>
The likely salary range for this position is $128,039 - $173,229. This is not, however, a guarantee of compensation or salary. Rather, salary will be set based on experience, geographic location and possibly contractual requirements and could fall outside of this range.<br>
View information about benefits and our total rewards program.</div><p>
About Our Work</p><div>
We are GDIT. A global technology and professional services company that delivers technology and mission services to every major agency across the U.S. government, defense and intelligence community. Our 26,000 experts extract the power of technology to create immediate value and deliver solutions at the edge of innovation. We operate across over 50 countries worldwide, offering leading capabilities in digital modernization, AI/ML, cloud, cyber and application development. Together with our customers, we strive to create a safer, smarter world by harnessing the power of deep expertise and advanced technology.</div><div>
Join our Talent Community to stay up to date on our career opportunities and events at gdit.com/tc.</div><div><i>
Equal Opportunity Employer / Individuals with Disabilities / Protected Veterans</i></div></div></div>

AI/ML Lead Software Engineer

JPMorganChase

<div><b>JOB DESCRIPTION</b><p><br>
As an Applied AI ML Lead, within the Consumer Bank Sales Science Team, you will develop deep learning solutions and experiment with state of the art models and contribute to innovative projects and drive the future of field AI Technologies, leveraging ML tools and algorithms to deliver the right solutions as we reinvent CRMs and client/employee interactions at the firm.
</p><p><b>Job responsibilities:</b></p><ul><li>
Serve as a subject matter expert on a wide range of ML techniques and optimizations.</li><li>
Build and enhance ML workflows through advanced proficiency in large language models (LLMs) and related techniques.</li><li>
Conducting experiments using latest ML technologies, analyzing results, tuning models</li><li>
Actively engage in hands-on coding to convert experimental results into robust production solutions</li><li>
Take full ownership of the entire code development lifecycle in Python, from proof of concept and experimentation to delivering production-ready solutions.</li><li>
Integrate Generative AI within the ML Platform using state-of-the-art techniques.</li></ul><p><b>
Required qualifications, capabilities, and skills:</b></p><ul><li>
MS and/or PhD in Computer Science, Machine Learning, or a related field; 5+ years of applied machine learning experience.</li><li>
Hands on experience in one of the programming languages like Python, R, Java, etc.
</li><li>hand on experience in applying data science, ML techniques to solve business problems.</li><li>
Solid background in Natural Language Processing (NLP) and Large Language Models (LLMs)</li><li>
Experience with machine learning and deep learning methods.</li><li>
Deep understanding and expertise in deep learning frameworks such as PyTorch or TensorFlow.</li><li><p>
Ability to work on tasks and projects through to completion with limited supervision.</p><p>
</p></li></ul><p><b>Preferred qualifications, capabilities, and skills:</b></p><ul><li>
In-depth understanding of Search/Ranking, Recommender systems, Graph techniques, and other advanced methodologies and advanced knowledge in Reinforcement Learning or Meta Learning.</li><li>
Software development experience is a plus and experience with building and deploying ML models on cloud platforms such as AWS and AWS tools like Sagemaker, EKS, etc</li><li><p>
Deep understanding of Large Language Model (LLM) techniques, including Agents, Planning, Reasoning, and other related methods.</p><p>
</p></li></ul><p></p><b>ABOUT US</b><p><br>
Chase is a leading financial services firm, helping nearly half of America&rsquo;s households and small businesses achieve their financial goals through a broad range of financial products. Our mission is to create engaged, lifelong relationships and put our customers at the heart of everything we do. We also help small businesses, nonprofits and cities grow, delivering solutions to solve all their financial needs.
</p><p></p><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><p></p><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></p><p>
Equal Opportunity Employer/Disability/Veterans</p><br>
<br>
<br>
<b>ABOUT THE TEAM</b><br>
<div>
Our Consumer &amp; Community Banking division serves our Chase customers through a range of financial services, including personal banking, credit cards, mortgages, auto financing, investment advice, small business loans and payment processing. We&rsquo;re proud to lead the U.S. in credit card sales and deposit growth and have the most-used digital solutions &ndash; all while ranking first in customer satisfaction.</div><div><br>
<br>
</div><div>The CCB Data &amp; Analytics team responsibly leverages data across Chase to build competitive advantages for the businesses while providing value and protection for customers. The team encompasses a variety of disciplines from data governance and strategy to reporting, data science and machine learning. We have a strong partnership with Technology, which provides cutting edge data and analytics infrastructure. The team powers Chase with insights to create the best customer and business outcomes.</div></div>

Branch Channel Generative AI - Applied AI ML Lead

<div><b>JOB DESCRIPTION</b><p><br>
Join us as we embark on a journey of collaboration and innovation, where your unique skills and talents will be valued and celebrated. Together we will create a brighter future and make a meaningful difference.</p><p>
As a Lead Data Engineer at JPMorganChase within the Commercial &amp; Investment Bank, you are an integral part of an agile team that works to enhance, build, and deliver data collection, storage, access, and analytics solutions in a secure, stable, and scalable way. As a core technical contributor, you are responsible for maintaining critical data pipelines and architectures across multiple technical areas within various business functions in support of the firm&rsquo;s business objectives.</p><p>
</p><p><b>Job responsibilities</b></p><ul><li>
Design, build, and maintain scalable, high-performance data pipelines and infrastructure to support ingestion, processing, and storage of large volumes of scanned document images across enterprise-wide workflows</li><li>
Architect end-to-end data solutions on AWS cloud services to enable seamless flow of scanned images from source systems through OCR processing, model inference, and downstream data extraction and categorization pipelines</li><li>
Develop robust image preprocessing and OCR integration pipelines that handle TIF/PNG format conversion, normalization, resolution enhancement, noise reduction, and batching to prepare scanned documents for downstream computer vision and OCR models</li><li>
Build and optimize data pipelines that integrate OCR engine outputs, extracting structured text and metadata from scanned images and routing them into databases and analytics platforms for further processing</li><li>
Design and manage data storage architectures and containerized deployments, using Oracle databases and AWS-native stores (S3, EFS) to efficiently catalog, index, and retrieve extracted text, classification labels, and metadata from processed document images</li><li>
Drive the adoption of containerized deployment strategies using AWS EKS (Elastic Kubernetes Service) to deploy and scale image processing microservices, OCR engines, and data pipeline components with high availability and fault tolerance</li><li>
Collaborate closely with data scientists and ML engineers to ensure training datasets for different models, and other computer vision models are properly curated, versioned, labeled, and accessible through well-structured data pipelines
</li><li>Evaluate and integrate emerging data technologies and tools to continuously improve pipeline throughput, reduce processing latency for high-volume document scanning workloads, and optimize cost efficiency</li><li>
Establish and enforce data quality, lineage, governance, and security frameworks to ensure traceability and integrity of extracted data from scanned documents throughout the entire processing lifecycle</li><li>
Partner with security and compliance teams to ensure that scanned document data, extracted PII/PHI, and sensitive content are handled in accordance with regulatory requirements, encryption standards, and access controls</li><li>
Lead and mentor a team of data engineers, establishing coding standards, peer review processes, CI/CD workflows, and best practices for building production-grade image and document processing pipelines</li></ul><p>
</p><p><b>Required qualifications, capabilities, and skills</b></p><ul><li>
Formal training or certification on Data Engineering concepts and 5+ years applied experience</li><li>
Strong proficiency in Java, Groovy, and Python for building data pipelines, image preprocessing workflows, automation scripts, and backend data services</li><li>
Hands-on experience with image file handling, particularly TIF/PNG format processing, multi-page document splitting, format conversion, and integration with OCR and computer vision pipelines</li><li>
Deep hands-on experience with AWS cloud services including S3 (for image storage), Lambda, Step Functions, and CloudWatch for building and monitoring scalable data workflows</li><li>
Expertise in AWS EKS (Elastic Kubernetes Service) for deploying and managing containerized image processing, OCR, and data pipeline services using Docker and Kubernetes</li><li>
Advanced knowledge of Oracle databases including PL/SQL, performance tuning, partitioning strategies, and data modeling for storing and querying large volumes of extracted document data and classification results</li><li>
Familiarity with OCR technologies and the ability to build data pipelines that consume and structure OCR output for downstream analytics and model training</li><li>
Understanding of data requirements for training deep learning models including dataset preparation, annotation management, and feature store integration</li><li>
Experience with CI/CD pipelines (Jenkins) and infrastructure-as-code tools (Terraform, CloudFormation) for automated deployment and environment management</li><li>
Strong understanding of data governance, data quality frameworks, metadata management, and data cataloging, particularly in the context of document-centric and image-heavy data ecosystems</li><li>
Excellent leadership, communication, and stakeholder management skills with the ability to drive technical decisions across cross-functional teams</li></ul><div>
</div><div><b>Preferred qualifications, capabilities, and skills</b></div><div>
</div><ul><li>Domain expertise in the healthcare industry</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>

AI/ML Lead Data Engineer - Automation/Image Processing

CodeNinja

<div><p><b>About the Company</b><br>
CodeNinja is a global AI and engineering services company helping enterprises build, scale, and operate intelligent systems. With 350+ engineers across four continents and 400+ successful deployments, CodeNinja enables organizations to harness artificial intelligence through Global Capability Centers, Work AI, Physical AI, and AI Labs. Recognized among Pakistan&rsquo;s fastest-growing AI firms and a multi-award recipient on Clutch, CodeNinja empowers over 250 clients worldwide to innovate, automate, and compete in the intelligence economy.</p><p><b>
About The Role</b></p><p>
We're looking for an experienced AWS AI/ML Practice Lead to own technical direction and client delivery of agentic AI solutions built on AWS &mdash; from pre-sales architecture through production deployment.</p><p><b>
Key Responsibilities</b></p><ul><li>
Lead technical discovery and whiteboarding sessions, translating business problems into agentic AI architectures on AWS</li><li>
Design end-to-end solution architectures using Bedrock, SageMaker, Step Functions, Lambda, and EventBridge</li><li>
Build cost models, effort estimates, and technical proposals; support sales team on client calls and RFPs</li><li>
Own technical delivery of agentic AI engagements from kickoff to production, leading blended engineering teams</li><li>
Set architecture standards, conduct code reviews, manage technical risk, and enforce CI/CD and IaC best practices</li><li>
Serve as primary technical point of contact for clients during active engagements</li><li>
Build reusable reference architectures, accelerators, and PoC assets for agentic AI on AWS</li><li>
Mentor the AWS CoE team on AI/ML services, agentic design patterns, and production deployment practices.</li></ul><br>
<b>
Requirements</b><br>
<ul><li>
Deep hands-on experience with Amazon Bedrock (Agents, Knowledge Bases, Guardrails), SageMaker, Lambda, Step Functions, and API Gateway</li><li>
Strong grasp of agentic design patterns: ReAct loops, multi-agent delegation, RAG systems, and tool-use architectures</li><li>
Experience with AWS data services: OpenSearch Serverless, DynamoDB, S3, Glue, Kinesis</li><li>
Familiarity with orchestration frameworks (LangChain, LangGraph or equivalent) deployed on AWS</li><li>
Proven background in the AWS partner ecosystem &mdash; prior role as Solutions Architect, Principal Consultant, or Practice Lead at an AWS partner firm</li><li>
Ability to lead client rooms: whiteboard on the spot, handle technical objections, engage both technical and executive stakeholders</li><li>
Experience leading distributed engineering teams through full delivery lifecycles on AWS</li><li>
Strong opinions on CI/CD, CDK/Terraform, and observability (CloudWatch, X-Ray)</li></ul><p></p><p><b>
Why Join Us</b></p><ul><li>
Build quality systems for real-world <b>AI-enabled products</b>, including <b>LLM evaluations</b> and reliability guardrails.</li><li>
Own feature-level quality end-to-end: from <b>test strategy</b> to <b>CI/CD quality gates</b> to <b>production readiness</b>.</li><li>
Work with strong cross-functional teams across <b>Engineering</b>, <b>Product</b>, and AI stakeholders in an <b>Agile</b> environment.</li><li>
Grow in modern quality engineering practices: <b>observability</b>, <b>automation frameworks</b>, <b>shift-left testing</b>, and AI evaluation patterns.</li></ul><p></p><p><b><br>
Disclaimer:</b> CodeNinja is an equal opportunity employer. We celebrate diversity and are committed to creating an inclusive environment for all employees. All aspects of employment including the decision to hire, promote, discipline, or discharge, will be based on merit, competence, &amp; performance. Female and minorities are strongly encouraged and preferred to apply for the role</p><b><br>
Benefits</b><br>
<ul><li><b>
Provident Fund (PF):</b> 5% of the basic salary will be deducted after the probation period. Employer contribution entitlement will commence after <b>12 months of confirmation</b>.</li></ul><ul><li><b>
Medical Insurance (Pakistan):</b> Coverage includes spouse and parents up to the age of 80.</li><li><b>
Life Insurance</b></li><li><b>
Performance-Based Increment</b></li><li><b>
32 Paid Leaves (Annual)</b></li><li><b>
Easy Loan Facility</b></li><li><b>
Company-Sponsored Trips</b></li><li><b>
Gym Passport Membership (Access To 250+ Gyms)</b></li></ul></div>

AWS AI/ML Practice Lead

ACE Money Transfer

<div>
 <strong>
  Chief Technology Officer (CTO) &ndash; ACE Money Transfer
  <br/>
  <br/>
 </strong>
 <strong>
  About Ace Money Transfer
  <br/>
  <br/>
 </strong>
 ACE Money Transfer is a leading fintech company specializing in cross-border payments for customers across Europe, Canada, the UK, and Australia. We are committed to delivering secure, scalable, and customer-centric digital financial services while driving innovation in AI/ML, intelligent automation, and compliance-driven technology platforms.
 <br/>
 <br/>
 <strong>
  Job Summary
  <br/>
  <br/>
 </strong>
 The Chief Technology Officer (CTO) will provide strategic and technical leadership across Ace Money Transfer&rsquo;s global technology organization, driving the development of cross-border payment platforms, AI/ML initiatives, mobile applications, and regulatory compliance. This senior role requires a strong record of accomplishment in applied AI/ML leadership, scalable systems engineering, and secure financial technologies. The CTO will also champion DevSecOps practices, embedding security into every stage of the software delivery lifecycle, while ensuring resilient cloud-native infrastructures. Accountable for both the operational and financial performance of technology functions, the CTO will translate the company&rsquo;s vision into executable strategies that deliver innovative, secure, and customer-centric solutions across multiple markets.
 <br/>
 <br/>
 Key Responsibilities
 <br/>
 <br/>
 <ul>
  <li>
   Define and execute the technology roadmap aligned with Ace Money Transfer&rsquo;s business and innovation goals.
  </li>
  <li>
   Provide technical and strategic leadership across AI/ML programs focused on intelligent document processing, OCR, and LLM-based solutions.
  </li>
  <li>
   Translate vision into actionable AI/ML strategies, aligning technology innovation with business outcomes.
  </li>
  <li>
   Drive cross-border payments platform scalability, including UPI architecture, APIs, and cloud-native microservices.
  </li>
  <li>
   Oversee high-level technical designs and architectures for scalable and performant payment and AI platforms.
  </li>
  <li>
   Implement AI/ML for fraud detection, risk scoring, and intelligent automation.
  </li>
  <li>
   Oversee regulatory compliance with GDPR, PCI-DSS, DORA, Central Bank of Ireland, FCA, and ISO-27001 regulations.
  </li>
  <li>
   Champion penetration testing, cybersecurity frameworks, and resilience best practices
  </li>
  <li>
   Design and execute Disaster Recovery (DR) and Business Continuity Plans (BCP) to safeguard mission-critical operations.
  </li>
  <li>
   Lead and mentor cross-functional teams of data scientists, ML engineers, and software developers.
  </li>
  <li>
   Foster collaboration with compliance, product, and business stakeholders to deliver secure, user-first financial products
   <br/>
   <br/>
  </li>
 </ul>
 <strong>
  Qualifications &amp; Experience
  <br/>
  <br/>
 </strong>
 <ul>
  <li>
   10+ years of senior technology leadership in fintech, banking, or regulated financial services.
  </li>
  <li>
   Strong expertise in cross-border payments, UPI platform architecture, and remittance ecosystems.
  </li>
  <li>
   Proven track record in AI/ML leadership, especially in OCR, document AI, and LLM-based solutions.
  </li>
  <li>
   Expertise with .NET Core, Angular, cross-platform mobile development (iOS/Android), Python, and PHP.
  </li>
  <li>
   Expertise in databases (MySQL, MS SQL, PostgreSQL, DynamoDB) and data warehousing solutions for analytics and compliance reporting.
  </li>
  <li>
   Strong knowledge of cloud technologies (AWS, Azure, GCP), including containers, Kubernetes, and Docker.
  </li>
  <li>
   Deep experience in cybersecurity, DevSecOps, penetration testing, and IT resilience frameworks.
  </li>
  <li>
   Experience implementing CI/CD pipelines, DevOps automation, and microservices-based architectures.
  </li>
  <li>
   Certifications: TOGAF, PMP, GDPR Certification.
  </li>
  <li>
   Strong leadership, communication, and stakeholder collaboration skills
   <br/>
   <br/>
  </li>
 </ul>
 ACE Money Transfer : Company Profile - ACE Money Transfer
 <br/>
 <br/>
 Powered by JazzHR
 <br/>
 <br/>
 CzT57FC3sD
</div>


Chief Technology Officer

Peraton

<div><div><h5 class="jobSectionHeader"><b>ABOUT PERATON</b></h5><p>
Peraton is a next-generation national security company that drives missions of consequence spanning the globe and extending to the farthest reaches of the galaxy. As the world&rsquo;s leading mission capability integrator and transformative enterprise IT provider, we deliver trusted, highly differentiated solutions and technologies to protect our nation and allies. Peraton operates at the critical nexus between traditional and nontraditional threats across all domains: land, sea, space, air, and cyberspace. The company serves as a valued partner to essential government agencies and supports every branch of the U.S. armed forces. Each day, our employees solve the most daunting challenges that our customers face. Visit peraton.com to learn how we&rsquo;re keeping people around the world safe and secure.</p></div><div><h5 class="jobSectionHeader"><b>
ABOUT THE ROLE</b></h5><div><div>
Peraton seeks a <b>Principal Data Scientist</b> to support Department of Defense Cyber Defense Command (DCDC) with DCO AI Cyber Security. Location: Fort Meade, MD. In this role, you will serve as technical lead for the Data Science Team, providing strategic direction for all advanced analytics, AI/ML, and predictive modeling initiatives supporting DCDC enterprise mission requirements.</div><div></div><div><br>
Primary Responsibilities</div><ul><li>
Lead team of 6 data scientists, ML engineers, and operations research analysts</li><li>
Design and oversee AI/ML model development including NLP and network analysis</li><li>
Direct campaigns of learning and experimentation for analytic performance evaluation</li><li>
Develop predictive, prescriptive, and descriptive models for DCO-IDM operations</li><li>
Ensure analytics alignment with ASOM and Analytic Crosswalk framework</li><li>
Present analytic findings and recommendations to senior leadership</li></ul></div></div><div><h5 class="jobSectionHeader"><b>
QUALIFICATIONS</b></h5><div><div>
Required Qualifications:</div><ul><li>
Minimum of 12 years with BS/BA; Minimum of 10 years with MS/MA; Minimum of 7 years with Ph.D.</li><li>
Expert proficiency in Python, R, and ML frameworks (TensorFlow, PyTorch, scikit-learn)</li><li>
Deep experience with NLP, network analysis, and time-series forecasting</li><li>
Strong background in statistical modeling and experimental design</li><li>
Experience with big data platforms (Hadoop, Spark)</li><li>
5+ years leading technical teams in DoD/IC environment</li><li>
U.S Citizenship required</li><li>
DoD TS with ability to obtain/maintain SCI clearance</li></ul><div>
 Preferred Qualifications:</div><ul><li>
AWS/Azure ML certifications are preferred</li><li>
CISSP certification is preferred</li><li>
Master's degree is required; PhD is preferred in Data Science, Statistics, Computer Science, or related field</li><li>
12 years of relevant experience</li></ul></div></div><div><h5 class="jobSectionHeader"><b>
DETAILS</b></h5><div><p>
<b>Target Salary Range:</b> $146,000 - $234,000. This represents the typical salary range for this position. Salary is determined by various factors, including but not limited to, the scope and responsibilities of the position, the individual&rsquo;s experience, education, knowledge, skills, and competencies, as well as geographic location and business and contract considerations. Depending on the position, employees may be eligible for overtime, shift differential, and a discretionary bonus in addition to base pay.
</p></div><div><p><b>Benefits Statement:</b> Peraton offers eligible employees a variety of benefits including medical, dental, vision, life, health savings account, short/long term disability, EAP, parental leave, 401(k), paid time off (PTO) for vacation, and company paid holidays. A full listing of available benefits can be viewed at https://www.careers.peraton.com/benefits.
</p></div><div><p>
<b>Application Duration Statement:</b> The application period for the job is estimated to be 30 days from the job posting date. However, this timeline may be shortened or extended depending on business needs and the availability of qualified candidates.
</p></div><p><b>
EEO:</b> Equal opportunity employer, including disability and protected veterans, or other characteristics protected by law.</p></div></div><div></div>

PRINCIPAL DATA SCIENTIST

Lockheed Martin

<div><p><b>JOB ID:</b> 726217BR</p>
<p><b>Date posted:</b> May. 05, 2026</p>
<br>
<p><b>Description:</b></p>The Lockheed Martin Artificial Intelligence Center (LAIC) is seeking a highly skilled leader to head the AI Consulting portfolio, a role that requires a unique blend of technical expertise in software engineering and AI/ML, as well as strong business acumen and communication skills. This is an exciting opportunity to lead the development and deployment of AI solutions that can drive business value and innovation across the Lockheed Martin enterprise. With a focus on collaboration, innovation, and technical expertise, this role is perfect for a seasoned professional looking to make a significant impact in the field of AI.<br>
<br>
What you'll be doing:
&bull; Collaborating with business stakeholders to identify opportunities and develop AI solutions
&bull; Modeling complex business and engineering problems using machine learning and feature engineering techniques
&bull; Deploying AI capabilities and tracking projects through to completion
&bull; Implementing best technical practices from the fields of machine learning and software engineering
&bull; Creating knowledge materials to disseminate best practices to other AI and data science teams
&bull; Meeting with data science leaders to teach and discuss best practices
&bull;
What&rsquo;s In It For You:
From onsite to remote, we offer flexible work schedules to comprehensive benefits investing in your future and security,<br>
<br>
Who are you:
You are a highly skilled leader with a unique blend of technical expertise in software engineering and AI/ML, as well as strong business acumen and communication skills. You have hands-on experience in developing and deploying AI solutions, and are able to collaborate with cross-functional teams to identify business opportunities and develop associated statistical models. You possess a combination of skills, including:
&bull; Strong analytical and problem-solving skills
&bull; Programming knowledge and experience with machine learning and software engineering
&bull; Excellent communication skills to understand business needs and communicate the value of AI models
&bull; Business focus and creative thinking to quickly cycle hypotheses through the discovery phase of projects
&bull; Ability to work collaboratively with cross-functional teams and drive projects through to completion<br>
<br>
#LMLAIC<br>
<p><b>Basic Qualifications:</b></p><br>
<ul><li>Bachelor's degree in Engineering, Computer Science, or a related field, with at least 5 years of professional experience. Alternatively, a Master's degree with 3 years of professional experience.</li><li>Significant experience in applying machine learning techniques to business problems (natural language processing, deep learning, anomaly detection, reinforcement learning).</li><li>Experience with Python, Typescript, or compiled languages like C++, Golang, etc</li><li>Experience with developing software and software engineering best practices.</li><li>Must be a US Citizen</li></ul><p><b>
Desired Skills:</b></p><br>
-Experience working with Agile methodologies and projects
-Superlative communication and interpersonal skills.
-Master's degree or higher in Engineering, Computer Science, or a related field.
-Experience with cloud platforms (e.g., AWS, Google Cloud, Azure), specifically containerizing and deploying AI/ML models.
-Certifications in AI/ML or related fields (e.g., TensorFlow Developer Certificate, AWS Certified Machine Learning).
-Experience leading a team of researchers and engineers.
-Familiarity with common Python libraries used for developing reinforcement learning applications: Gymnasium, rllib, Stable Baselines, RL Coach, etc.
-Experience with the design, implementation, and evaluation of models, agents, and software prototypes for real-world AI.
-Proven ability to bridge fundamental research into products. History of addressing real-world problems by integrating novel research.<br>
<p><b>Clearance Level:</b></p>None<br>
<p><b>Other Important Information You Should Know</b></p><br>
<p><b>Expression of Interest:</b></p>By applying to this job, you are expressing interest in this position and could be considered for other career opportunities where similar skills and requirements have been identified as a match. Should this match be identified you may be contacted for this and future openings.<br>
<p><b>Ability to Work Remotely:</b></p>Full-time Remote Telework: The employee selected for this position will work remotely full time at a location other than a Lockheed Martin designated office/job site. Employees may travel to a Lockheed Martin office for periodic meetings.<br>
<p><b>Work Schedules:</b></p>Lockheed Martin supports a variety of alternate work schedules that provide additional flexibility to our employees. Schedules range from standard 40 hours over a five day work week while others may be condensed. These condensed schedules provide employees with additional time away from the office and are in addition to our Paid Time off benefits.<br>
<p><b>Schedule for this Position:</b></p>4x10 hour day, 3 days off per week<br>
<b>Pay Rate:</b> The annual base salary range for this position in most major metropolitan areas in California, Massachusetts, and New York is $125,100 - $216,890. For states not referenced above, the salary range for this position will reflect the candidate&rsquo;s final work location. Please note that the salary information is a general guideline only. Lockheed Martin considers factors such as (but not limited to) scope and responsibilities of the position, candidate's work experience, education/ training, key skills as well as market and business considerations when extending an offer.<br>
<b>Benefits offered:</b> Medical, Dental, Vision, Life Insurance, Short-Term Disability, Long-Term Disability, 401(k) match, Flexible Spending Accounts, EAP, Education Assistance, Parental Leave, Paid time off, and Holidays.<br>
This position is incentive plan eligible.<br>
<b>Pay Rate:</b> The annual base salary range for this position in California, Massachusetts, and New York (excluding most major metropolitan areas), Colorado, Hawaii, Illinois, Maryland, Minnesota, New Jersey, Vermont, Washington or Washington DC is $108,800 - $191,820. For states not referenced above, the salary range for this position will reflect the candidate&rsquo;s final work location. Please note that the salary information is a general guideline only. Lockheed Martin considers factors such as (but not limited to) scope and responsibilities of the position, candidate's work experience, education/ training, key skills as well as market and business considerations when extending an offer.<br>
<b>Benefits offered:</b> Medical, Dental, Vision, Life Insurance, Short-Term Disability, Long-Term Disability, 401(k) match, Flexible Spending Accounts, EAP, Education Assistance, Parental Leave, Paid time off, and Holidays.
<br>
(Washington state applicants only) Non-represented full-time employees: accrue at least 10 hours per month of Paid Time Off (PTO) to be used for incidental absences and other reasons; receive at least 90 hours for holidays. Represented full time employees accrue 6.67 hours of Vacation per month; accrue up to 52 hours of sick leave annually; receive at least 96 hours for holidays. PTO, Vacation, sick leave, and holiday hours are prorated based on start date during the calendar year.<br>
This position is incentive plan eligible.<br>
<b>Lockheed Martin is an equal opportunity employer. Qualified candidates will be considered without regard to legally protected characteristics.</b><br>
<b>The application window will close in 90 days; applicants are encouraged to apply within 5 - 30 days of the requisition posting date in order to receive optimal consideration.</b><br>
At Lockheed Martin, we use our passion for purposeful innovation to help keep people safe and solve the world's most complex challenges. Our people are some of the greatest minds in the industry and truly make Lockheed Martin a great place to work.
<br>
<br>
With our employees as our priority, we provide diverse career opportunities designed to propel, develop, and boost agility. Our flexible schedules, competitive pay, and comprehensive benefits enable our employees to live a healthy, fulfilling life at and outside of work. We place an emphasis on empowering our employees by fostering an inclusive environment built upon integrity and corporate responsibility.<br>
<br>
If this sounds like a culture you connect with, you&rsquo;re invited to apply for this role. Or, if you are unsure whether your experience aligns with the requirements of this position, we encourage you to search on Lockheed Martin Jobs, and apply for roles that align with your qualifications.<br>
<p><b>Experience Level:</b></p>Experienced Professional<br>
<p><b>Business Unit:</b></p>ENTERPRISE BUSINESS SERVICES<br>
<p><b>Relocation Available:</b></p>No<br>
<p><b>Career Area:</b></p>Artificial Intelligence<br>
<p><b>Type:</b></p>Full-Time<br>
<p><b>Shift:</b></p>First</div>
<br><div><p>At Lockheed Martin, we apply our passion for purposeful innovation to keep people safe and solve the world's most complex challenges.</p>
<p><b>Pioneering Defense Technology:</b> From aerospace to outer space to cyber space, you can innovate mission solutions alongside the best minds in the business.</p>
<p><b>United By Culture:</b> Excellence, integrity, and collaboration define us. We accelerate change and embrace one another&rsquo;s perspectives to win for our customers.</p>
<p><b>Real Impact, Real Growth:</b> Grow your career and skills for life. Our wide array of opportunities and technology-driven learning programs enable your development and agility.</p>
<p><b>Your Health, Your Wealth, Your Life:</b> Competitive pay, comprehensive benefits and flexible schedules designed so you thrive &mdash; at work and beyond.</p>
<p><b>Empowered to Be Your Best:</b> Use your strengths to make a difference in the lives of one another, our customers, our communities, and our planet.</p>
<p>Here, the possibilities are endless because we offer:</p>
<div></div><ul><div>Flexible Schedules, dependent on role</div>
<div></div><div>Levels: Student, Entry, Mid, Senior, Management</div>
<div></div><div>Locations: Nationwide &amp; OCONUS Positions</div></ul></div>

AI/Machine Learning Engineer Senior

Search 10000+ Ai/ml lead jobs near you this May. New roles added regularly across leading industries. Apply today.