generative ai developer

Cyber Core for Information Technology

Job Description: AI Developer (React, Python &amp; Generative AI)Job Overview:<ul><li>We are seeking a highly analytical and technically proficient AI developer with extensive expertise in React.js, Python, and generative AI technologies.</li><li>The ideal candidate should demonstrate exceptional coding skills, strong logical reasoning, and the ability to design scalable, production-ready AI systems.</li><li>This role demands hands-on development experience, robust analytical thinking, and the ability to translate complex business requirements into efficient AI-driven solutions.</li></ul>Responsibilities &amp; Core Technical Abilities:<ul><li>Design, develop, and maintain end-to-end AI systems, encompassing model training, evaluation, deployment, monitoring, and continuous improvement.</li><li>Build production-grade applications using modern programming languages and tools, including TypeScript, JavaScript, Python, Node.js, Vite, React, and contemporary front-end build systems.</li><li>Develop scalable backend APIs and microservices capable of handling high-volume AI inference workloads using python and any other high level programming languages .</li><li>Architect and maintain Kubernetes clusters, ensuring resilient deployments, autoscaling, health checks, secrets management, and resource optimization.</li><li>Create and manage Helm charts for packaging, versioning, deploying, and continuously updating complex AI services across multiple environments.</li><li>Implement full MLOps pipelines, including data ingestion, feature engineering, model training, model validation, CI/CD workflows, and automated model deployment.</li><li>Integrate vector databases, embeddings pipelines, RAG architectures, and other retrieval-augmented systems to enhance AI reasoning capabilities.</li><li>Manage storage systems (object storage, block storage, distributed file systems) optimized for AI workloads, large model artifacts, and high-speed data access.</li><li>Build robust AI plugins, extensions, and integrations for third-party platforms with advanced functionality, including context handling, multi-agent coordination, and tool-use orchestration.</li><li>Optimize LLM performance using techniques like quantization, fine-tuning, LORA adapters, distillation, caching, and model parallelism.</li><li>Ensure system security, data privacy, identity management, and safe model behavior across all AI components.</li><li>Collaborate cross-functionally with product, data, and engineering teams to translate business requirements into scalable AI solutions.</li><li>Monitor production AI systems, implement logging/observability stacks, and troubleshoot reliability or performance issues.</li><li>Continuously research and adopt emerging AI/ML trends, frameworks, and MLOps best practices to maintain systems at industry-leading standards.</li></ul>Qualification and SkillsCore Technical Skills<ul><li>Strong proficiency in Python with a deep understanding of data structures and algorithms.</li><li>Hands-on experience in React.js, including hooks, state management, component architecture, and advanced knowledge of generative AI and LLM concepts.</li><li>Experience with OpenAI APIs or open-source LLMs, Langchain/llamaindex/agentic workflows, prompt engineering, Rag architecture, vector databases (FAISS, Pinecone, etc.), and strong understanding of REST API design and backend architecture.</li><li>Experience with relational or NoSQL databases and version control using Git.</li><li>Analytical &amp; Coding Strength (Mandatory)</li><li>Strong analytical thinking and structured problem-solving ability.</li><li>Ability to write optimized, scalable, and efficient code.</li><li>Strong debugging and root cause analysis skills.</li><li>Ability to analyze large code bases and improve performance.</li><li>Experience implementing algorithmic logic and performance tuning.</li><li>Practice of clean code and adherence to coding standards.</li></ul>Experience<ul><li>3+ years of hands-on experience delivering AI-driven applications.</li><li>Proven track record of writing production-grade code.</li></ul>Soft Skills<ul><li>Strong logical reasoning and critical thinking.</li><li>Excellent communication skills.</li><li>Ability to work independently and take ownership.</li><li>High attention to details and quality.</li></ul>Nice to Have<ul><li>Experience building AI workflows and autonomous bots.</li><li>Knowledge of model fine-tuning basics.</li><li>Experience with Docker and Kubernetes.</li><li>Understanding of AI evaluation metrics and benchmarking.</li></ul>Job Type: Full-timeWork Location: In person

AI Developer- (Resident Engineer – Onsite Client)

Openkyber

<div>The Position We advance science so that we all have more time with the people we love. Genentech's Early Clinical Development (ECD) department is seeking a talented and motivated Software Developer reporting to the Director of software engineering at The Clinical Data Insights &amp; Automation team (CDI&amp;A). The CDI&amp;A team collaborates with a broad range of stakeholders involved in the clinical development process (e.g., Clinical Science, Clinical Operations, Medical Writing, Quality, Regulatory). It develops industry- leading solutions for highly complex business problems. To manage the design and pilot of these software products, they apply a high degree of ingenuity and creativity while maintaining a finger on the pulses of the rapidly changing tech and healthcare landscapes.
The Software Engineer will primarily be responsible for designing, developing, and deploying software which interacts with cutting-edge generative AI models and applications in collaboration with AI scientists, full stack developers, and others. Their work will directly impact our ability to create and deliver innovative solutions that leverage AI to solve complex problems and enhance user experiences.
The Opportunity:
<ul><li>Innovate and develop software applications to support clinical development</li>
<li>Identify and integrate AI/LLM capabilities to enhance data processing and natural workflows.</li>
<li>Design intuitive, user-centric interfaces.</li>
<li>Code Quality and Documentation: Write clean, maintainable, and well- documented code. Participate in code reviews and contribute to best practices in software development.</li>
<li>Research and Innovation: Stay up-to-date with the latest advancements in generative AI and machine learning. Evaluate new technologies and methodologies to continuously improve our solutions.</li>
<li>Collaborate with Cross-Functional Teams: Work closely with data scientists, engineers, and product managers to integrate generative AI capabilities into our products and services.</li>
<li>Deployment and Monitoring: Develop and maintain robust deployment pipelines for AI-enhanced applications. Monitor pipeline performance in production and implement necessary improvements.</li>
</ul>Who You Are:
<ul><li>An experienced full stack developer capable of bringing your expertise to our existing and upcoming AI applications/projects as both a leader and individual contributor.</li>
<li>Someone with a clear understanding of the current landscape of AI &amp; AI-based applications, including potential benefits, limitations, and standard of practice.</li>
</ul>Minimum Requirements:
<ul><li>Bachelor's or Master's degree in Computer Science, Engineering, Mathematics, or a related field.</li>
<li>5+ years of full stack development experience</li>
<li>Strong proficiency in either a front-end framework (Vue.js, React, or similar) and a backend web frameworks in Python and/or JavaScript (Django, FastAPI, Flask, Next.js, or similar)</li>
<li>4+ years experience with front-end frameworks (preferably Vue.js)</li>
<li>2+ years of developing and deploying AI/ML solutions or applications</li>
<li>Experience designing and developing RESTful APIs (with e.g. Python FastAPI).</li>
<li>Familiarity with prompt engineering</li>
<li>Proficiency with containerized workflows and architectures (Podman, Docker, Kubernetes)</li>
<li>Strong automated software testing skills (Python unittest, jest, Playwright)</li>
<li>Familiar with Agile methodologies</li>
<li>Excellent analytical and problem-solving skills with a track record of tackling complex technical challenges.</li>
<li>Leading system design and implementing scalable, fault-tolerant solutions for complex, distributed computing challenges.</li>
<li>Strong interpersonal and communication skills, with the ability to articulate complex technical concepts to non-technical stakeholders.</li>
<li>Experience with cloud platforms (e.g. AWS) and modern data platforms (e.g., Snowflake).</li>
<li>Experience implementing chatbots, retrieval-augmented generation (RAG) systems, and integrating LLMs into applications (AI-assisted automation)</li>
</ul>Preferred Qualifications:
<ul><li>Experience building AI agents, fine-tuning LLM models, and evaluating bias and fairness with LLM systems</li>
<li>Experience in developing Microsoft Word add-ins using Office.js.</li>
<li>Experience with web technologies like JWT, WebSockets, etc.</li>
<li>Experience with Huggingface, Langchain, TensorFlow, PyTorch, or similar.</li>
<li>Familiarity with DevOps, infrastructure, and continuous integration concepts.</li>
<li>Familiarity with CRDT technologies like Yjs.</li>
<li>Experience with using NLP/LLMs on clinical text.</li>
<li>Basic knowledge of clinical drug development</li>
</ul>For applications and inquiries, contact: hirings@openkyber.com</div>

SAP AI Business Services Consultant

Guidehouse

<div>
 
 Job Family
 
 
 
 Data Science Consulting
 
 
 
 Travel Required
 
 
 
 Up to 10%
 
 
 
 Clearance Required
 
 
 
 None
 
 
 
 What You Will Do
 
 
 
 We are seeking an AI Developer to help design, build, and deliver AI solutions, especially Generative AI, for clients modernizing their operations through intelligent automation. You will work alongside senior technical leads and client teams to develop functional AI prototypes, integrate data and models, and help translate emerging technologies into practical business value. This role blends hands-on development with consulting, ideal for someone who enjoys solving complex problems through applied AI.
 
 
 AI Delivery
 
 
 <ul>
 <li>
 Support the design and development of Generative AI Minimum Viable Products (MVPs) that address real client challenges.
 </li>
 <li>
 Build and test backend AI components that combine data, logic, and model reasoning into functional workflows.
 </li>
 <li>
 Contribute to architecture and implementation plans, helping connect models, data sources, and business processes.
 </li>
 <li>
 Participate in scenario-based testing and model validation to ensure reliable and explainable outcomes.
 
 
 </li>
 </ul>
 Collaboration
 
 
 <ul>
 <li>
 Work as part of an agile team, contributing to sprint planning, backlog prioritization, and client demonstrations.
 </li>
 <li>
 Collaborate closely with the Senior AI Development Lead to align technical delivery with engagement goals.
 </li>
 <li>
 Help document solutions, capture lessons learned, and develop reusable assets for future AI engagements.
 
 
 </li>
 </ul>
 Technical Advisory
 
 
 <ul>
 <li>
 Stay current on advancements in Generative AI, bringing forward practical ideas and tools that enhance delivery quality.
 </li>
 <li>
 Engage with client stakeholders to understand workflows, data sources, and decision processes.
 </li>
 <li>
 Contribute to assessments of AI readiness, development toolchains, and opportunities for automation.
 </li>
 <li>
 Support post-MVP feedback and enhancement activities, ensuring that solutions can evolve toward production deployment.
 
 
 </li>
 </ul>
 
 What You Will Need
 
 
 
 <ul>
 <li>
 A bachelor&rsquo;s degree is required
 </li>
 <li>
 Minimum FIVE (5) years of experience in AI, software, or data-driven solution development, including work with Generative AI or NLP applications
 </li>
 <li>
 Understanding of cloud environments (e.g. Azure, Amazon Web Services) and DevOps for AI development and deployment
 </li>
 <li>
 Proficiency in Python and experience building or integrating AI-based systems
 </li>
 <li>
 Experience with key Generative AI system patterns, such as:
 </li>
 <ul>
 <li>
 RAG (Retrieval-Augmented Generation) and retrieval-based reasoning systems
 </li>
 <li>
 Agentic frameworks (e.g., orchestrated multi-step reasoning, tool-using AI agents)
 </li>
 <li>
 Evaluation and observability frameworks (e.g., LLM/human evals, prompt testing, reliability scoring)
 </li>
 <li>
 Model monitoring and retraining pipelines
 </li>
 </ul>
 <li>
 Demonstrated ability to work collaboratively in agile teams and communicate effectively with both technical and non-technical audiences
 
 </li>
 </ul>
 
 What Would Be Nice To Have
 
 
 
 <ul>
 <li>
 Experience designing or deploying solutions with Amazon Bedrock, SageMaker, or other AWS AI services
 </li>
 <li>
 Understanding of AI governance and risk management frameworks
 </li>
 <li>
 Experience supporting clients in regulated or complex environments (e.g., energy, infrastructure, public sector)
 
 
 </li>
 </ul>
 The annual salary range for this position is $102,000.00-$170,000.00. Compensation decisions depend on a wide range of factors, including but not limited to skill sets, experience and training, security clearances, licensure and certifications, and other business and organizational needs.
 
 
 
 What We Offer
 
 
 
 Guidehouse offers a comprehensive, total rewards package that includes competitive compensation and a flexible benefits package that reflects our commitment to creating a diverse and supportive workplace.
 
 
 
 Benefits Include
 
 
 
 <ul>
 <li>
 Medical, Rx, Dental &amp; Vision Insurance
 </li>
 <li>
 Personal and Family Sick Time &amp; Company Paid Holidays
 </li>
 <li>
 Position may be eligible for a discretionary variable incentive bonus
 </li>
 <li>
 Parental Leave and Adoption Assistance
 </li>
 <li>
 401(k) Retirement Plan
 </li>
 <li>
 Basic Life &amp; Supplemental Life
 </li>
 <li>
 Health Savings Account, Dental/Vision &amp; Dependent Care Flexible Spending Accounts
 </li>
 <li>
 Short-Term &amp; Long-Term Disability
 </li>
 <li>
 Student Loan PayDown
 </li>
 <li>
 Tuition Reimbursement, Personal Development &amp; Learning Opportunities
 </li>
 <li>
 Skills Development &amp; Certifications
 </li>
 <li>
 Employee Referral Program
 </li>
 <li>
 Corporate Sponsored Events &amp; Community Outreach
 </li>
 <li>
 Emergency Back-Up Childcare Program
 </li>
 <li>
 Mobility Stipend
 
 
 </li>
 </ul>
 
 About Guidehouse
 
 
 
 Guidehouse is an Equal Opportunity Employer&ndash;Protected Veterans, Individuals with Disabilities or any other basis protected by law, ordinance, or regulation.
 
 
 Guidehouse will consider for employment qualified applicants with criminal histories in a manner consistent with the requirements of applicable law or ordinance including the Fair Chance Ordinance of Los Angeles and San Francisco.
 
 
 If you have visited our website for information about employment opportunities, or to apply for a position, and you require an accommodation, please contact Guidehouse Recruiting at 1-571-633-1711 or via email at RecruitingAccommodation@guidehouse.com. All information you provide will be kept confidential and will be used only to the extent required to provide needed reasonable accommodation.
 
 
 All communication regarding recruitment for a Guidehouse position will be sent from Guidehouse email domains including @guidehouse.com or guidehouse@myworkday.com. Correspondence received by an applicant from any other domain should be considered unauthorized and will not be honored by Guidehouse. Note that Guidehouse will never charge a fee or require a money transfer at any stage of the recruitment process and does not collect fees from educational institutions for participation in a recruitment event. Never provide your banking information to a third party purporting to need that information to proceed in the hiring process.
 
 
 If any person or organization demands money related to a job opportunity with Guidehouse, please report the matter to Guidehouse&rsquo;s Ethics Hotline. If you want to check the validity of correspondence you have received, please contact recruiting@guidehouse.com. Guidehouse is not responsible for losses incurred (monetary or otherwise) from an applicant&rsquo;s dealings with unauthorized third parties.
 
 
 
 Guidehouse does not accept unsolicited resumes through or from search firms or staffing agencies. All unsolicited resumes will be considered the property of Guidehouse and Guidehouse will not be obligated to pay a placement fee.
 
</div>

AI Developer

The Home Depot

<div><div>Position Purpose:
The Sr Machine Learning Engineer is responsible for designing, building, integrating, optimizing, and maintaining AI-powered applications that leverage generative models and overall product lifecycle for a product that our users love. Generative AI Engineers are expected to collaborate closely with teammates as they develop and deliver user stories while supporting AI-powered products as they evolve. Generative AI Engineers may design and implement applications using large language models (LLMs) and other generative models to embed intelligent capabilities directly into software products. Activities may include prompt engineering, model integration, building Retrieval-Augmented Generation (RAG) pipelines, and developing scalable AI services. The role may interact with business stakeholders, infrastructure teams, and development teams to ensure business requirements are effectively addressed through generative AI solutions. The role may also support evaluation, performance optimization, testing, and monitoring of AI systems in production. Additional responsibilities may include working with domain data, improving prompts and AI workflows, and creating documentation or enablement materials for generative AI solutions. 
 
Sr Generative AI Engineers should be able to work independently with minimal guidance, while collaborating with cross-functional teams of varying skill levels to design, deploy, and maintain production AI applications. This role may review submitted code and prompt implementations, providing feedback and improvements based on engineering and responsible AI best practices. 
Key Responsibilities:<ul><li>
70% Delivery and Execution - Collaborates and pairs with other product team members (UX, engineering, and product management) to create secure, reliable, scalable machine learning solutions; Documents, reviews, and ensures that all quality and change control standards are met; Works with Product Team to ensure user stories that are developer-ready, easy to understand, and testable; Writes custom code or scripts to automate infrastructure, monitoring services, and test cases; Writes custom code or scripts to do &quot;destructive testing&quot; to ensure adequate resiliency in production; Configures commercial off the shelf solutions to align with evolving business needs; Creates meaningful dashboards, logging, alerting, and responses to ensure that issues are captured and addressed proactively</li><li>
10% Learning - Participates in learning activities around modern software design, machine learning, and development core practices (communities of practice); Proactively views articles, tutorials, and videos to learn about new technologies and best practices being used within other technology organizations</li><li>
20% Support and Enablement - Fields questions from other product teams or support teams; Monitors tools and participates in conversations to encourage collaboration across product teams; Provides application support for software running in production; Proactively monitors production Service Level Objectives for products; Proactively reviews the Performance and Capacity of all aspects of production: code, infrastructure, data, message processing, and prediction quality</li></ul> 
Direct Manager/Direct Reports:<ul><li>
This Position typically reports to Software Engineer Manager or Sr. Software Engineer Manager</li><li>
This Position has 0 Direct Reports</li></ul> 
Travel Requirements:<ul><li>
Typically requires overnight travel 5% to 20% of the time.</li></ul> 
Physical Requirements:<ul><li>
Most of the time is spent sitting in a comfortable position and there is frequent opportunity to move about. On rare occasions there may be a need to move or lift light articles.</li></ul> 
Working Conditions:<ul><li>
Located in a comfortable indoor area. Any unpleasant conditions would be infrequent and not objectionable.</li></ul> 
Minimum Qualifications:<ul><li>
Must be eighteen years of age or older.</li><li>
Must be legally permitted to work in the United States.</li></ul> 
Preferred Qualifications:<ul><li>
3 - 5 years of relevant work experience 
Experience in Python and modern AI development frameworks 
Experience building Generative AI applications using large language models (LLMs) 
Experience with prompt engineering, prompt optimization, and prompt evaluation techniques 
Experience integrating AI models through APIs from platforms such as Google, OpenAI or Anthropic 
Experience with GenAI frameworks such as Google Agent Development Kit (ADK) 
Experience implementing Retrieval-Augmented Generation (RAG) pipelines using vector databases 
Experience working with vector databases such as google Vertex AI Search 
Experience with building conversational AI systems, or AI assistants 
Experience with responsible AI practices including bias mitigation and safety guardrails 
Experience working with graph databases, knowledge ingestion pipelines, and data mesh architectures to enable scalable, connected, and queryable AI knowledge systems. 
Experience implementing CI/CD pipelines, monitoring, and automated workflows for reliable AI model deployment and lifecycle management. 
Experience with monitoring, evaluation, and optimization of production AI systems 
Experience in Google Cloud Platform and AI/ML related components such as Vertex AI, BigQueryML, and Experience in effective data engineering practices and big data platforms such as BigQuery, Data Store, etc- Experience in a modern scripting language (preferably Python) 
Experience with GPU acceleration (i.e. CUDA and cuDNN) 
Experience in a front-end technology and framework such as Node.js, HTML, CCS, JavaScript, ReactJS, D3 
Experience in writing SQL queries against a relational database 
Familiarity with production systems design including High Availability, Disaster Recovery, Performance, Efficiency, and Security 
Familiarity with cloud computing platform and associated automation patterns and machine learning services they provide 
Familiarity with defensive coding practices and patterns for high Availability 
Familiarity with A/B testing and effective REST design for scalable web services architecture 
Familiarity with advanced machine learning techniques such as NLP, convolutional neural networks, autoencoders, and embeddings generation and utilization.</li></ul> 
Minimum Education:<ul><li>
The knowledge, skills and abilities typically acquired through the completion of a high school diploma and/or GED.</li></ul> 
Preferred Education:<ul><li>
No additional education</li></ul> 
Minimum Years of Work Experience:<ul><li>
2</li></ul> 
Preferred Years of Work Experience:<ul><li>
No additional years of experience</li></ul> 
Minimum Leadership Experience:<ul><li>
None</li></ul> 
Preferred Leadership Experience:<ul><li>
None</li></ul> 
Certifications:<ul><li>
None</li></ul> 
Competencies:<ul><li>
Global Perspective</li><li>
Manages Ambiguity</li><li>
Nimble Learning</li><li>
Self-Development</li><li>
Collaborates</li><li>
Cultivates Innovation</li><li>
Situational Adaptability</li><li>
Communicates Effectively</li><li>
Drives Results</li><li>
Interpersonal Savvy</li></ul>
Benefits offered include health care benefits, 401K, ESPP, paid time off, and success sharing bonus. For a full list of the various benefits The Home Depot offers, visit https://careers.homedepot.com/our-benefits.</div> 
Apply End Date: 05/11/2026</div>

Senior Machine Learning Engineer – Generative AI (Remote)

<div></div><div><div><div><div>U.S. - The best version of me
</div></div></div><div>By playing this video you consent to Google/YouTube processing your data and using cookies Learn more.</div>
<div><h2 class="jobSectionHeader">Position Description:</h2>
CGI has an immediate need for a Senior GenAI Developer to join our team. This is an exciting opportunity to work in a fast-paced team environment supporting one of the largest customers. We take an innovative approach to supporting our client, working side-by-side in an agile environment using emerging technologies. 
We partner with 15 of the top 20 banks globally, and our top 10 banking clients have worked with us for an average of 26 years! 
 
This role is located at a client site in Reston, VA or Plano, TX. A hybrid working model is acceptable.
</div><div><h2 class="jobSectionHeader">Your future duties and responsibilities:</h2>
We are seeking a skilled and experienced Generative AI Developer to join our team. This role is ideal for a senior-level professional with a strong background in software engineering and hands-on experience in AI/ML, particularly in the financial or legal domain. You will be responsible for designing and refining prompts for large language models (LLMs), developing data pipelines, and deploying AI solutions that enhance financial reporting and client communication tools. This is a collaborative role that requires both technical expertise and the ability to align AI solutions with business goals.
</div><div><h2 class="jobSectionHeader">Required qualifications to be successful in this role:</h2>
. 7+ years of experience in software engineering, ideally with exposure to financial or legal systems. 
. 3+ years of hands-on experience in AI/ML roles, including prompt engineering for LLMs. 
. Proficient in Python and SQL for data analysis and manipulation. 
. Strong experience with AWS services, especially SageMaker, S3, Redshift, and Lambda. 
. Solid understanding of financial data, KPIs, and reporting standards. 
. Experience building and maintaining ETL workflows and data pipelines. 
. Familiarity with LLMs such as Anthropic Claude or Sonnet. 
. Ability to collaborate effectively with cross-functional teams including data scientists and business stakeholders. 
. Excellent written and verbal communication skills. 
. Experience with vector databases like FAISS or Pinecone. 
. Knowledge of retrieval-augmented generation (RAG) techniques. 
. Exposure to data visualization tools such as Power BI or Tableau. 
. Understanding of MLOps practices and model lifecycle management. 
 
Education: 
Bachelor's degree in computer science or a related field is required. 
 
Other Information: 
CGI is required by law in some jurisdictions to include a reasonable estimate of the compensation range for this role. The determination of this range includes various factors not limited to skill set, level, experience, relevant training, and licensure and certifications. To support the ability to reward for merit-based performance, CGI typically does not hire individuals at or near the top of the range for their role. Compensation decisions are dependent on the facts and circumstances of each case. A reasonable estimate of the current range for this role in the U.S. is $121,900.00 - $154,300.00. 
CGI's benefits are offered to eligible professionals on their first day of employment to include: . Competitive compensation . Comprehensive insurance options . Matching contributions through the 401(k) plan and the share purchase plan . Paid time off for vacation, holidays, and sick time . Paid parental leave .Learning opportunities and tuition assistance . Wellness and Well-being programs 
</div><div><h2 class="jobSectionHeader">Skills:</h2>
<ul><li>Data Analysis</li>
<li>ETL</li>
<li>Python</li>
<li>SQL</li>
</ul></div><div><h2 class="jobSectionHeader">What you can expect from us:</h2>
Together, as owners, lets turn meaningful insights into action. 
 
Life at CGI is rooted in ownership, teamwork, respect and belonging. Here, youll reach your full potential because 
 
You are invited to be an owner from day 1 as we work together to bring our Dream to life. Thats why we call ourselves CGI Partners rather than employees. We benefit from our collective success and actively shape our companys strategy and direction. 
 
Your work creates value. Youll develop innovative solutions and build relationships with teammates and clients while accessing global capabilities to scale your ideas, embrace new opportunities, and benefit from expansive industry and technology expertise. 
 
Youll shape your career by joining a company built to grow and last. Youll be supported by leaders who care about your health and well-being and provide you with opportunities to deepen your skills and broaden your horizons.
 
 
Come join our teamone of the largest IT and business consulting services firms in the world. 
 
Qualified applicants will receive consideration for employment without regard to their race, ethnicity, ancestry, color, sex, religion, creed, age, national origin, citizenship status, disability, pregnancy, medical condition, military and veteran status, marital status, sexual orientation or perceived sexual orientation, gender, gender identity, and gender expression, familial status or responsibilities, reproductive health decisions, political affiliation, genetic information, height, weight, or any other legally protected status or characteristics to the extent required by applicable federal, state, and/or local laws where we do business. 
 
CGI provides reasonable accommodations to qualified individuals with disabilities. If you need an accommodation to apply for a job in the U.S., please email the CGI U.S. Employment Compliance mailbox at US_Employment_Compliance@cgi.com. You will need to reference the Position ID of the position in which you are interested. Your message will be routed to the appropriate recruiter who will assist you. Please note, this email address is only to be used for those individuals who need an accommodation to apply for a job. Emails for any other reason or those that do not include a Position ID will not be returned. 
 
We make it easy to translate military experience and skills! to be directed to our site that is dedicated to veterans and transitioning service members. 
 
All CGI offers of employment in the U.S. are contingent upon the ability to successfully complete a background investigation. Background investigation components can vary dependent upon specific assignment and/or level of US government security clearance held. Dependent upon role and/or federal government security clearance requirements, and in accordance with applicable laws, some background investigations may include a credit check. CGI will consider for employment qualified applicants with arrests and conviction records in accordance with all local regulations and ordinances. 
 
CGI will not discharge or in any other manner discriminate against employees or applicants because they have inquired about, discussed, or disclosed their own pay or the pay of another employee or applicant. However, employees who have access to the compensation information of other employees or applicants as a part of their essential job functions cannot disclose the pay of other employees or applicants to individuals who do not otherwise have access to compensation information, unless the disclosure is (a) in response to a formal complaint or charge, (b) in furtherance of an investigation, proceeding, hearing, or action, including an investigation conducted by the employer, or (c) consistent with CGIs legal duty to furnish information.</div></div>

Senior GenAI Developer

<div>Job Title: Python Developer with AI/ML Location: Charlotte, NC or Irving, TX Job Type: Contract Job Description
We are seeking a highly skilled Python Developer with hands on experience in building and deploying AI/ML applications . In this role, you will work closely with Senior Engineers, leads, and product teams to design scalable machine learning pipelines, optimize model performance, and deliver production ready AI solutions.
Key Responsibilities
<ul><li>Develop, optimize, and maintain Python-based applications for AI/ML use cases.</li>
<li>Build scalable data processing pipelines using frameworks such as Pandas, NumPy, and PySpark.</li>
<li>Collaborate to train, evaluate, and deploy machine learning models .</li>
<li>Implement end to end ML workflows including feature engineering, model serving, and monitoring .</li>
<li>Integrate AI capabilities into backend services using REST APIs, GraphQL, or gRPC.</li>
<li>Apply best practices in version control, CI/CD, testing , and code quality.</li>
<li>Troubleshoot performance issues and ensure efficient, secure, and reliable AI services.</li>
<li>Experience with Large Language Models (LLMs) and generative AI frameworks.</li>
</ul>For applications and inquiries, contact: hirings@openkyber.com</div>

Machine Learning Developer

<div>Role: Python Developer AI/ML Location: Charlotte, NC or Irving, TX Interview Process: Final round requires in person interview
We are seeking a highly skilled Python Developer with hands on experience in building and deploying AI/ML applications. In this role, you will work closely with Senior Engineers, leads, and product teams to design scalable machine learning pipelines, optimize model performance, and deliver production ready AI solutions.
Key Responsibilities:
<ul><li>Develop, optimize, and maintain Python-based applications for AI/ML use cases.</li>
<li>Build scalable data processing pipelines using frameworks such as Pandas, NumPy, and PySpark.</li>
<li>Collaborate to train, evaluate, and deploy machine learning models.</li>
<li>Implement end to end ML workflows including feature engineering, model serving, and monitoring.</li>
<li>Integrate AI capabilities into backend services using REST APIs, GraphQL, or gRPC.</li>
<li>Apply best practices in version control, CI/CD, testing, and code quality.</li>
<li>Troubleshoot performance issues and ensure efficient, secure, and reliable AI services.</li>
<li>Experience with Large Language Models (LLMs) and generative AI frameworks.</li>
</ul>Thanks &amp; Regards, OpenKyber
For applications and inquiries, contact: hirings@openkyber.com</div>

ML Data Engineer

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