ai/ml developer

Amivero

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


AI/ML Developer

The Home Depot

<div>
 Req178618
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 <strong>
  Position Purpose
  <br/>
  <br/>
 </strong>
 The Software Engineer II is responsible for independently developing and assisting in the design of a product that our customers and associates love. As a Software Engineer II, you will be part of a dynamic team with engineers of all experience levels who help each other build and grow technical and leadership skills while creating, deploying, and supporting production applications. In addition, Software Engineer II may be involved in configuration, security, resilience, performance tuning and production monitoring.
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 <br/>
 We are dedicated to pushing the boundaries of technology to create solutions that make a difference to the company. Our team is looking for a talented AI/ML developer to join us developing cutting-edge machine learning models and applications for the Company.
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 <strong>
  Key Responsibilities
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  <br/>
 </strong>
 <ul>
  <li>
   60% Delivery and Execution &ndash; Collaborates and pairs with other product team members (UX, engineering, and product management) to create secure, reliable, scalable software 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 destructive testing to ensure adequate resiliency in production; Program configuration/modification and setup activities on large projects using HD approved methodology; 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>
   20% Learning &ndash; Actively seeks ways to grow and be challenged using both formal and informal development channels; Learns through successful and failed experiment when tackling new problems
  </li>
  <li>
   20% Plans and Aligns &ndash; Collaborates with other team members in agile processes; Assists in creating new and better ways for the team to be successful; Relates openly and comfortably with diverse groups of people; Builds partnerships and works collaboratively with others to meet shared objectives
  </li>
  <li>
   Design and develop machine learning models and algorithms to address business challenges.
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  </li>
 </ul>
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  Direct Manager/Direct Reports
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 </strong>
 <ul>
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   This position typically repots to Software Engineer Manager or Sr. Manager
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   This position has 0 Direct Reports
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  </li>
 </ul>
 <strong>
  Travel Requirements
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 </strong>
 <ul>
  <li>
   No travel required.
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  </li>
 </ul>
 <strong>
  Physical Requirements
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 </strong>
 <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.
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  </li>
 </ul>
 <strong>
  Working Conditions
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 </strong>
 <ul>
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   Located in a comfortable indoor area. Any unpleasant conditions would be infrequent and not objectionable.
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  </li>
 </ul>
 <strong>
  Minimum Qualifications
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  <br/>
 </strong>
 <ul>
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   Must be eighteen years of age or older.
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   Must be legally permitted to work in the United States.
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 </ul>
 <strong>
  Preferred Qualifications
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  <br/>
 </strong>
 <ul>
  <li>
   1-3 years of relevant work experience
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   Extensive experience in AI, machine learning.
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   Strong understanding of AI use cases and their application in business contexts.
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   Proven track record of developing AI use case from concept to launch.
  </li>
  <li>
   Strong programming skills in Golang, Python.
  </li>
  <li>
   Experience building and maintaining robust data pipelines, ETL/ELT workflows, and data ingestion processes.
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   Solid understanding of machine learning algorithms and principles.
  </li>
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   Experience in Google Cloud Platform and AI/ML related components such as Vertex AI, BigQueryML, and AutoML
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   Experience with data preprocessing, data ingestion and model evaluation.
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   Strong problem-solving skills and ability to work independently and as part of a team.
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   Experience in writing SQL queries against a relational database
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   Experience in version control systems and collaborative development tools.
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   Experience with cloud platforms (Azure, GCP)
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   Experience in source code version control (e.g. Git)
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   Experience in Relational or NoSQL database technology
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   Experience in cloud computing techniques
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   Experience in CI/CD tools
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   Experience in microservice-based architecture
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   Experience with modern debugging and root cause analysis techniques
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   Exposure to security frameworks for user and services authorization and authentication
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   Exposure to creating and executing unit, functional, destructive and performance tests
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   Excellent communication skills to convey technical concepts to non-technical stakeholders.
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   Experience in REST and effective web service design
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   Experience in production systems design including High Availability, Disaster Recovery, Performance, Efficiency, and Security
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  </li>
 </ul>
 <strong>
  Minimum Education
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 </strong>
 <ul>
  <li>
   The knowledge, skills and abilities typically acquired through the completion of a bachelor&rsquo;s degree program or equivalent degree in a field of study related to the job.
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  </li>
 </ul>
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  Minimum Years Of Work Experience
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 </strong>
 <ul>
  <li>
   2-3+ years
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  </li>
 </ul>
 <strong>
  Competencies
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 </strong>
 <ul>
  <li>
   Global Perspective
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   Manages Ambiguity
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  <li>
   Nimble Learning
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   Self-Development
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   Collaborates
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   Cultivates Innovation
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  <li>
   Situational Adaptability
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  <li>
   Communicates Effectively
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  <li>
   Drives Results
  </li>
  <li>
   Interpersonal Savvy
  </li>
 </ul>
</div>


AI/ML Developer II (Remote)

Capgemini

<div><div><div><div><p>Choosing Capgemini means choosing a company where you will be empowered to shape your career in the way you&rsquo;d like, where you&rsquo;ll be supported and inspired by a collaborative community of colleagues around the world, and where you&rsquo;ll be able to reimagine what&rsquo;s possible. Join us and help the world&rsquo;s leading organizations unlock the value of technology and build a more sustainable, more inclusive world.<br>
</p><p><br>
<b>Role Overview
</b></p><p>Focuses on Generative AI, intelligent applications, and advanced analytics. This role combines hands-on AI engineering with a delivery and consulting oriented mindset. You will work closely with business and technical stakeholders to shape, build, and scale AI solutions from early exploration through production delivery. Some engagements may follow a Forward Deployment Engineer (FDE)-style working model, where engineers collaborate closely with client teams during solution design and rollout. However, the role remains broad and well suited for candidates who enjoy combining strong technical problem solving with collaborative, client facing delivery. Many initiatives are centered on enterprise cloud and AI platforms, with a strong preference for Azure based architectures and services, as well as modern developer environments that incorporate AI assisted development and code generation tools.
</p><p>Key Responsibilities
</p><ul><li>Design, develop, and deploy AI enabled applications aligned to enterprise needs.
</li></ul><ul><li>Translate business problems into scalable technical solutions.
</li></ul><ul><li>Build Generative AI solutions using large language models, including RAG and tool enabled workflows.
</li></ul><ul><li>Apply AI assisted code generation and developer productivity tools for tasks such as code scaffolding, refactoring, documentation, and test generation.
</li></ul><ul><li>Design and integrate application components using REST APIs, authentication, error handling, and observability best practices.
</li></ul><ul><li>Deploy and operate AI solutions in production or production adjacent environments, supporting monitoring and reliability.
</li></ul><ul><li>In some cases, work in a client proximate or forward deployed delivery model in close collaboration with architects and delivery leads.
</li></ul><p>Required Qualifications</p>
<ul><li>Bachelor's degree or higher in Computer Science, AI/ML, Data Science, Engineering, or equivalent experience.
</li></ul><ul><li>1+ years of experience in AI/ML, GenAI, application development, or data engineering.
</li></ul><ul><li>Strong proficiency in Python and SQL.
</li></ul><ul><li>Experience with cloud platforms (Azure strongly preferred; AWS or GCP also considered).
</li></ul><ul><li>Experience with APIs, CI/CD pipelines, containerization (Docker), and cloud native deployments.
</li></ul><ul><li>Prior experience in enterprise, consulting, or client delivery environments preferred.</li></ul><br>
<p></p><p><b>Preferred Qualifications
</b></p><ul><li>Experience delivering solutions on Azure or Microsoft aligned platforms, including AI, data, or application services.
</li></ul><ul><li>Familiarity with Microsoft native developer tools and AI assisted coding / code generation tools.
</li></ul><ul><li>Exposure to agentic or tool orchestrated AI patterns.
</li></ul><ul><li>Interest or experience in client proximate or forward deployed engineering roles (a plus, not required).'</li></ul><br>
<p></p><div><div><div><h2 class="jobSectionHeader"><b>Job Description</b></h2>
</div><div>Develop and implement a set of techniques or analytics applications to transform raw data into meaningful information using data-oriented programming languages and visualization software. Apply data mining, data modeling, natural language processing, and machine learning to extract and analyze information from large structured and unstructured datasets. Visualize, interpret, and report data findings. May create dynamic data reports.</div>
</div><div><div><h2 class="jobSectionHeader"><b>Job Description - Grade Specific</b></h2>
</div><div>The role combines advanced technical expertise in data science with consulting skills to provide strategic guidance and solutions to clients.</div>
</div></div><p>The base compensation range for this role in the posted location is $43,984 to $105,600</p>
<p>Capgemini provides compensation range information in accordance with applicable national, state, provincial, and local pay transparency laws. The base compensation range listed for this position reflects the minimum and maximum target compensation Capgemini, in good faith, believes it may pay for the role at the time of this posting. This range may be subject to change as permitted by law.</p>
<p>The actual compensation offered to any candidate may fall outside of the posted range and will be determined based on multiple factors legally permitted in the applicable jurisdiction.</p>
<p>These may include, but are not limited to: Geographic location, Education and qualifications, Certifications and licenses, Relevant experience and skills, Seniority and performance, Market and business consideration, Internal pay equity.</p>
<p>It is not typical for candidates to be hired at or near the top of the posted compensation range.</p>
<p>In addition to base salary, this role may be eligible for additional compensation such as variable incentives, bonuses, or commissions, depending on the position and applicable laws.</p><br>
<p></p><p><b>Capgemini offers a comprehensive, non-negotiable benefits package to all regular, full-time employees.</b> In the U.S. and Canada, available benefits are determined by local policy and eligibility and may include:</p>
<ul><li>Paid time off based on employee grade (A-F), defined by policy: Vacation: 12-25 days, depending on grade, Company paid holidays, Personal Days, Sick Leave</li>
</ul><ul><li>Medical, dental, and vision coverage (or provincial healthcare coordination in Canada)</li>
<li>Retirement savings plans (e.g., 401(k) in the U.S., RRSP in Canada)</li>
<li>Life and disability insurance</li>
<li>Employee assistance programs</li>
<li>Other benefits as provided by local policy and eligibility</li>
</ul><p><b>Important Notice:</b> Compensation (including bonuses, commissions, or other forms of incentive pay) is not considered earned, vested, or payable until it becomes due under the terms of applicable plans or agreements and is subject to Capgemini&rsquo;s discretion, consistent with applicable laws. The Company reserves the right to amend or withdraw compensation programs at any time, within the limits of applicable legislation.</p><br>
<p></p><p><b>Disclaimers</b></p>
<p>Capgemini is an Equal Opportunity Employer encouraging inclusion in the workplace. Capgemini also participates in the Partnership Accreditation in Indigenous Relations (PAIR) program which supports meaningful engagement with Indigenous communities across Canada by promoting fairness, accessibility, inclusion and respect. We value the rich cultural heritage and contributions of Indigenous Peoples and actively work to create a welcoming and respectful environment. All qualified applicants will receive consideration for employment without regard to race, national origin, gender identity/expression, age, religion, disability, sexual orientation, genetics, veteran status, marital status or any other characteristic protected by law.</p>
<p>This is a general description of the Duties, Responsibilities and Qualifications required for this position. Physical, mental, sensory or environmental demands may be referenced in an attempt to communicate the manner in which this position traditionally is performed. Whenever necessary to provide individuals with disabilities an equal employment opportunity, Capgemini will consider reasonable accommodations that might involve varying job requirements and/or changing the way this job is performed, provided that such accommodation does not pose an undue hardship. Capgemini is committed to providing reasonable accommodation during our recruitment process. If you need assistance or accommodation, please reach out to your recruiting contact.</p>
<p>Please be aware that Capgemini may capture your image (video or screenshot) during the interview process and that image may be used for verification, including during the hiring and onboarding process.</p>
<p>Click the following link for more information on your rights as an Applicant in the United States. http://www.capgemini.com/resources/equal-employment-opportunity-is-the-law</p><br>
<p></p><p>Capgemini is a global business and technology transformation partner, helping organizations to accelerate their dual transition to a digital and sustainable world, while creating tangible impact for enterprises and society. It is a responsible and diverse group of 340,000 team members in more than 50 countries. With its strong over 55-year heritage, Capgemini is trusted by its clients to unlock the value of technology to address the entire breadth of their business needs. It delivers end-to-end services and solutions leveraging strengths from strategy and design to engineering, all fueled by its market leading capabilities in AI, generative AI, cloud and data, combined with its deep industry expertise and partner ecosystem.</p></div></div></div></div><p></p>

Gen AI/ML Data Scientist

The Brite Group

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

AI Data Consultant- Sr. Level

Raqmiyat

<div><div><h3 class="jobSectionHeader"><b>Job Information</b></h3>
<ul><div><p>Date Opened</p>
<div><b>04/03/2026</b><b>
</b></div></div><div><p>Job Type</p>
<div><b>Full time</b><b>
</b></div></div><div><p>Job Opening Status</p>
<div><b>In-progress</b><b>
</b></div></div><div><p>Work Experience</p>
<div><b>4-5 years</b><b>
</b></div></div><div><p>Industry</p>
<div><b>Technology</b><b>
</b></div></div><div><p>City</p>
<div><b>Riyadh</b><b>
</b></div></div><div><p>State/Province</p>
<div><b>Ar Riyad</b><b>
</b></div></div><div><p>Country</p>
<div><b>Saudi Arabia</b><b>
</b></div></div><div><p>Zip/Postal Code</p>
<div><b>11564</b><b>
</b></div></div></ul></div><div><h3 class="jobSectionHeader"><b>About Us</b></h3>
<div><div>Raqmiyat is a UAE-based IT and digital transformation company specializing in consulting, staffing, and enterprise technology solutions. We empower banking, government, and enterprise clients across the Middle East to achieve their digital objectives.</div><br>
</div><p></p><h3 class="jobSectionHeader"><b>Job Description</b></h3>
<div><div>Job Overview:<br>
</div><div>
We are looking for a motivated and innovative <b>Artificial Intelligence Engineer</b> with <b>3+ years of experience</b> in designing, developing, and deploying AI/ML solutions. The ideal candidate should have hands-on experience in <b>machine learning, data modeling, Python programming, and AI solution development</b>, with the ability to transform business requirements into intelligent systems and predictive models.<br>
<br>
</div><div></div><br>
<p><b>Key Responsibilities:</b></p><br>
<ul><li>
Design, develop, and deploy <b>AI and machine learning models</b> for business use cases.<br>
</li><li>
Build and optimize <b>predictive, classification, and recommendation models</b>.<br>
</li><li>
Work with large datasets to perform <b>data preprocessing, feature engineering, and model training</b>.<br>
</li><li>
Develop AI-driven solutions using <b>Python and machine learning frameworks</b>.<br>
</li><li>
Evaluate model performance and improve accuracy through tuning and validation techniques.<br>
</li><li>
Collaborate with stakeholders to understand business problems and translate them into AI use cases.<br>
</li><li>
Integrate AI models into applications, dashboards, or enterprise systems.<br>
</li><li>
Monitor deployed models and ensure continuous performance improvement.<br>
</li><li>
Prepare technical documentation and support ongoing enhancements.</li></ul><div></div><h3 class="jobSectionHeader"><b><br>
Requirements</b></h3><ul><li>
3+ years of experience in <b>Artificial Intelligence / Machine Learning Engineering</b><br>
</li><li>
Strong proficiency in <b>Python</b><br>
</li><li>
Hands-on experience with <b>machine learning algorithms and model development</b><br>
</li><li>
Experience with libraries such as <b>TensorFlow, PyTorch, Scikit-learn, Pandas, and NumPy</b><br>
</li><li>
Good understanding of <b>data structures, statistics, and predictive analytics</b><br>
</li><li>
Experience in <b>data cleaning, feature engineering, and model evaluation</b><br>
</li><li>
Knowledge of <b>SQL and database management</b><br>
</li><li>
Strong problem-solving and analytical skills</li></ul></div></div></div><p></p>

Artificial Intelligence Engineer

Soum

<div>
 <strong>
  Role Name: AI / GenAI Solutions Engineer
  <br/>
 </strong>
 <strong>
  Location:
 </strong>
 Egypt, Saudi Arabia, and Pakistan (Remote)
 <br/>
 <br/>
 <strong>
  Work Week:
 </strong>
 Sunday - Thursday
 <br/>
 <br/>
 <strong>
  Working Hours:
 </strong>
 9:00 AM - 6:00 PM (Saudi Arabia Standard Time)
 <br/>
 <br/>
 <strong>
  Overview:
  <br/>
 </strong>
 Soum is on a mission to revolutionize customer service experiences across our C2C marketplace through cutting-edge AI solutions. We&rsquo;re looking for a talented
 <strong>
  AI / GenAI Solutions Engineer
 </strong>
 who will architect, build, and deploy intelligent systems that transform how we engage with millions of users.
 <br/>
 <br/>
 You&rsquo;ll be at the forefront of GenAI innovation&mdash;leveraging tools like Gemini Advanced, Claude Enterprise, and ChatGPT&mdash;to design scalable, reliable, and context-aware AI agents deeply integrated into Soum&rsquo;s ecosystem. This is your chance to make a tangible impact on how customers interact with our platform while working in a collaborative, fast-paced environment.
 <br/>
 <br/>
 <strong>
  Responsibilities:
  <br/>
  <br/>
 </strong>
 <ul>
  <li>
   Build GenAI-powered solutions: Design, develop, and deploy scalable business workflows using GenAI client tools (e.g., Gemini Advanced, NotebookLM, Claude Enterprise) and integrate them with existing systems via APIs (Freshdesk, Google Workspace, Airtable, etc.)
  </li>
  <li>
   Drive AI innovation: Evaluate and experiment with emerging GenAI technologies, stay ahead of industry trends, and pilot innovative solutions tailored for Soum&rsquo;s marketplace
  </li>
  <li>
   Ensure scalability and reliability: Architect solutions that can handle high-volume, concurrent user interactions while maintaining low latency and excellent user experience
  </li>
  <li>
   Partner cross-functionally: Collaborate with Product, Data, Engineering, and Customer Support teams to identify opportunities for automation and deliver impactful, user-centric solutions
  </li>
  <li>
   Evangelize AI adoption: Share best practices, contribute to technical knowledge-sharing sessions, and promote a culture of continuous improvement and innovation
  </li>
  <li>
   Bridge technical gaps: Integrate custom-built AI platforms with out-of-the-box GenAI tools, fostering democratization and ease of adoption across teams
   <br/>
   <br/>
   <br/>
   <br/>
   <br/>
  </li>
 </ul>
 <strong>
  Requirements:
  <br/>
  <br/>
 </strong>
 <ul>
  <li>
   Bachelor&rsquo;s degree, preferably in Computer Science, Engineering, or a related technical field
  </li>
  <li>
   3+ years of relevant experience in AI or related fields
  </li>
  <li>
   Experience designing, building, and deploying AI/ML systems at scale in conversational AI contexts
  </li>
  <li>
   Deep hands-on experience using and implementing GenAI tools (e.g., Gemini, ChatGPT, Claude Enterprise) to solve real-world business problems
  </li>
  <li>
   Strong understanding of SaaS ecosystems, API integrations (including Google Workspace, Airtable, Freshdesk)
  </li>
  <li>
   Expertise in NLP/NLU, conversational AI frameworks, and large language models
  </li>
  <li>
   Proficiency in Python and JavaScript for scripting, automation, and lightweight prototyping
  </li>
  <li>
   Practical experience integrating AI solutions into production systems via APIs, microservices, and event-driven architectures
  </li>
  <li>
   Experience working on a C2C platform. Solid understanding of marketplace dynamics, customer support challenges, and user engagement in a C2C environment
  </li>
  <li>
   Experience implementing conversational flows, dialogue management, and context tracking in AI agents
  </li>
  <li>
   Familiarity with retrieval-augmented generation (RAG) architectures for enhancing LLM capabilities
  </li>
  <li>
   Understanding of data privacy, security, and ethical considerations in AI deployments
  </li>
  <li>
   Ability to thrive in a fast-paced, dynamic environment and manage multiple priorities effectively
   <br/>
   <br/>
   <br/>
   <br/>
   <br/>
  </li>
 </ul>
 We may use artificial intelligence (AI) tools to support parts of the hiring process, such as reviewing applications, analyzing resumes, or assessing responses. These tools assist our recruitment team but do not replace human judgment. Final hiring decisions are ultimately made by humans. If you would like more information about how your data is processed, please contact us.
</div>


AI / GenAI Solutions Engineer

Tech Consulting

<div>
 <p>
  <strong>
   Job Description &mdash; Junior AI/ML Python Developer
  </strong>
 </p>
 <p>
  <strong>
   Type - Full Time
  </strong>
 </p>
 <p>
  <strong>
   Location - Relocation required - Atlanta, GA
  </strong>
 </p>
 <p>
  <strong>
   This role includes 10 weeks of training
  </strong>
 </p>
 <p>
  <br/>
 </p>
 <p>
  We are looking for a motivated and detail-oriented
  <strong>
   Junior AI/ML Python Developer
  </strong>
  to join our development team. The candidate will assist in building AI-powered applications, developing machine learning models, writing scalable Python code, and supporting data-driven solutions.
 </p>
 <p>
  <br/>
 </p>
 <p>
  <strong>
   Responsibilities
  </strong>
 </p>
 <ul>
  <li>
   Develop and maintain Python-based applications and AI solutions.
  </li>
  <li>
   Assist in building, training, and testing machine learning models.
  </li>
  <li>
   Work with datasets for cleaning, preprocessing, and analysis.
  </li>
  <li>
   Integrate AI/ML models into web applications and APIs.
  </li>
  <li>
   Collaborate with senior developers, data scientists, and product teams.
  </li>
  <li>
   Write reusable, efficient, and well-documented code.
  </li>
  <li>
   Debug, test, and optimize application performance.
  </li>
  <li>
   Use libraries such as Pandas, NumPy, Scikit-learn, TensorFlow, or PyTorch.
  </li>
  <li>
   Create REST APIs using Flask or FastAPI.
  </li>
  <li>
   Participate in code reviews and agile development processes.
  </li>
  <li>
   Maintain version control using Git/GitHub.
  </li>
  <li>
   Stay updated with latest AI/ML technologies and trends.
  </li>
 </ul>
 <p>
  <br/>
 </p>
 <p>
  <strong>
   Required Skills
  </strong>
 </p>
 <ul>
  <li>
   Strong knowledge of Python programming.
  </li>
  <li>
   Basic understanding of Machine Learning and AI concepts.
  </li>
  <li>
   Familiarity with data structures and algorithms.
  </li>
  <li>
   Experience with Pandas, NumPy, and Scikit-learn.
  </li>
  <li>
   Knowledge of SQL and databases.
  </li>
  <li>
   Understanding of APIs and backend development.
  </li>
  <li>
   Familiarity with Git and GitHub.
  </li>
  <li>
   Good analytical and problem-solving skills.
  </li>
  <li>
   Strong communication and teamwork abilities.
  </li>
 </ul>
 <p>
  <br/>
 </p>
 <p>
  <strong>
   <em>
    Thanks
   </em>
  </strong>
 </p>
</div>


Python Developer

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