full stack python developer

Capgemini

<div><div><div><div><div><div><div><h2 class="jobSectionHeader"><b>Long Description</b></h2>
</div><div><p><b>Job Description</b></p>
<p>We are seeking a Senior Gen AI/Agentic AI Full stack Lead with Generative AI, Agentic Frameworks, Machine Learning (ML), AI and Full stack Python with strong knowledge on Cloud technologies like AWS, Azure, GCP. Ideal candidate is expected to have prior experience in end-to-end implementation of Gen AI solutions, Machine Learning models that includes identification of &lsquo;right&rsquo; problem, designing &lsquo;optimum&rsquo; solution, implementing using &lsquo;best in class&rsquo; practices and deploying the models to production. Will work in alignment with data strategy at various clients, using multiple technologies and platforms.</p>
<h1 class="jobSectionHeader"><b>Responsibilities</b></h1>
<ul><li>Collaborate with data engineers, data scientists, and business stakeholders to understand the data and the business problems.</li>
<li>Proven hands-on Gen AI / Agentic AI and data science with machine learning</li>
<li>Strong knowledge of Python</li>
<li>Experience of deploying the Gen AI applications with one of the Agent Frameworks like Langgraph, Autogen, Crew AI.</li>
<li>Experience in deploying the Gen AI stack/services provided by various platforms such as AWS, GCP, Azure</li>
<li>Experience in Generative AI and working with multiple Large Language Models and implementing Advanced RAG based solutions.</li>
<li>Experience in processing/ingesting unstructured data from PDFs, HTML, Image files, audio to text etc.</li>
<li>Experience with data gathering, data quality, system architecture, coding best practices</li>
<li>Hands-on experience with Vector Databases (such as FAISS, Pinecone, Weaviate, or Azure AI Search).</li>
<li>Experience with Lean / Agile development methodologies</li>
</ul><h1 class="jobSectionHeader"><b>Qualifications</b></h1>
<ul><li>Bachelor's degree in computer science, Engineering, Mathematics, Statistics, or related field</li>
<li>Proficient in Python and common machine learning libraries such as TensorFlow, PyTorch, Scikit-learn, etc.</li>
<li>Hands-on experience with CI/CD pipelines and DevOps tools like Jenkins, GitHub Actions, or Terraform.</li>
<li>Proficiency in NoSQL and SQL databases (PostgreSQL, MongoDB, CosmosDB, DynamoDB).</li>
<li>Experience in Python AI/ML frameworks such as TensorFlow, PyTorch, or LangChain.</li>
<li>Experience in creating Web UI applications, ML models &amp; pipelines, Gen AI and Agentic AI solutions.</li>
<li>Experience in Agentic AI frameworks like Autogen, Crew AI, Semantic Kernal, Langgraph etc.,</li>
<li>Strong understanding of LLM fine-tuning, local deployment of open source models</li>
<li>Proficiency in building RESTful APIs using FastAPI, Flask, or Django.</li>
<li>Knowledge in Model evaluation tools like DeepEval, FMeval, RAGAS , Bedrock model evaluation.</li>
<li>Experience with perception (e.g. computer vision), time series data (e.g. text analysis)</li>
<li>Data visualization tools such as Tableau, Query languages such as SQL, Hive</li>
<li>Good applied statistics skills, such as distributions, statistical testing, regression, etc.</li></ul></div></div></div></div></div></div></div>

Senior Gen AI/Agentic AI Full stack

Mindrift

<div>
 <em>
  <strong>
   Please submit your CV in English and indicate your level of English proficiency.
   <br/>
   <br/>
  </strong>
 </em>
 Mindrift connects specialists with project-based AI opportunities for leading tech companies, focused on testing, evaluating, and improving AI systems.
 <strong>
  Participation is project-based, not permanent employment.
  <br/>
  <br/>
 </strong>
 <strong>
  What This Opportunity Involves
  <br/>
  <br/>
 </strong>
 While each project involves unique tasks, contributors may:
 <br/>
 <br/>
 <ul>
  <li>
   Design rigorous Computer Science problems reflecting professional practice;
  </li>
  <li>
   Evaluate AI solutions for correctness, assumptions, and constraints;
  </li>
  <li>
   Validate calculations or simulations using Python (NumPy, Pandas, SciPy);
  </li>
  <li>
   Improve AI reasoning to align with industry-standard logic;
  </li>
  <li>
   Apply structured scoring criteria to multi-step problems;
  </li>
  <li>
   Collaborate with a global community of PhDs to ensure the highest scientific integrity
   <br/>
   <br/>
  </li>
 </ul>
 <strong>
  What We Look For
  <br/>
  <br/>
 </strong>
 This opportunity is a good fit for Computer Science experts with an experience in python open to part-time, non-permanent projects. Ideally, contributors will have:
 <br/>
 <br/>
 <ul>
  <li>
   Degree in Computer Science or related fields.
  </li>
  <li>
   Python proficiency for numerical validation. MATLAB, R, C, SQL, Numpy, Pandas, SciPy, domain-specific libraries, Stata or knowledge of any programming language can be equivalent.
  </li>
  <li>
   2+ years of professional experience: applied, research, or teaching experience is applicable.
  </li>
  <li>
   Strong written English (C1+)
  </li>
  <li>
   Professional certifications (e.g., CMME, SAS Certifications, CAP) and experience in international or applied projects are an advantage
   <br/>
   <br/>
  </li>
 </ul>
 <strong>
  How It Works
  <br/>
  <br/>
 </strong>
 Apply &rarr; Pass qualification(s) &rarr; Join a project &rarr; Complete tasks &rarr; Get paid
 <br/>
 <br/>
 <strong>
  Project time expectations
  <br/>
  <br/>
 </strong>
 For this project, tasks are estimated to require around 10-20 hours per week during active phases, based on project requirements. This is an estimate, not a guaranteed workload, and applies only while the project is active.
 <br/>
 <br/>
 <strong>
  Compensation
  <br/>
  <br/>
 </strong>
 On this project, contributors can earn up to
 <strong>
  $80 per hour equivalent
 </strong>
 , depending on their level and pace of contribution.
 <br/>
 <br/>
 Compensation varies across projects depending on scope, complexity, and required expertise. Please note that other projects on the platform may offer different earning levels based on their requirements.
</div>


Computer Science Expert with Python Experience - AI Projects on Mindrift

Code Expedition

<p>Requirements:</p><ul><li>2&ndash;3 years of professional experience in Python development.</li><li>Strong hands-on experience with Python frameworks, including Django, FastAPI, and Tornado.</li><li>Experience designing and developing applications using Microservices Architecture.</li><li>Proficiency in PostgreSQL, including database design, query optimization, and performance tuning.</li><li>Solid understanding of Multithreading, Asynchronous Programming, and scalable application development.</li><li>Experience with frontend technologies such as React.js or Vue.js.</li><li>Hands-on experience with CI/CD pipelines and deploying applications on AWS.</li><li>Strong written communication skills with the ability to collaborate effectively with clients and stakeholders.</li><li>Ability to work independently, manage priorities, and deliver results in a fast-paced environment.</li><li>Experience working closely with UI/UX designers to develop responsive, user-friendly, and visually appealing web applications.</li></ul><p>Preferred Qualifications</p><ul><li>Experience with containerization technologies such as Docker.</li><li>Familiarity with Agile/Scrum development methodologies.</li><li>Knowledge of cloud-native application development and deployment best practices.</li></ul><p>Pay: Rs100,000.00 - Rs150,000.00 per month</p><p>Work Location: In person</p>

Python-Fullstack Developer

Glint Tech Solutions

<div><p><b>Overview</b></p><p>
We are seeking a Data Engineer with strong experience in Python and React to build and maintain scalable data-driven applications and platforms in the healthcare domain.</p><p><b>
What You'll Do</b></p><ul><li>
Build and maintain data-driven web applications using Python (backend/data engineering) and React (frontend)</li><li>
Design and develop scalable data pipelines, APIs, and frontend dashboards for healthcare workflows</li><li>
Build ETL/ELT pipelines to process clinical, operational, and healthcare datasets</li><li>
Work with healthcare data systems including EHR integrations and healthcare interoperability platforms</li><li>
Develop internal tools, analytics platforms, and operational dashboards for clinicians, administrators, and healthcare operations teams</li><li>
Integrate with healthcare data standards and systems (e.g., HL7, FHIR, Epic, Cerner environments where applicable)</li><li>
Design and optimize data models, warehouses, and data processing workflows</li><li>
Translate healthcare operational and reporting requirements into scalable data solutions</li><li>
Ensure applications and data platforms meet security, privacy, and compliance requirements (HIPAA-aligned environments)</li><li>
Monitor, debug, optimize, and maintain production data systems and applications</li><li>
Collaborate with cross-functional stakeholders including data analysts, clinicians, operations teams, and software engineers</li></ul><p><b>
Required Skills &amp; Experience</b></p><ul><li>
Strong hands-on experience with Python for data engineering and backend development</li><li>
Experience with data processing frameworks and libraries (Pandas, PySpark, Airflow, SQLAlchemy, etc.)</li><li>
Basic to strong experience with React.js frontend development</li><li>
Experience building scalable ETL/ELT pipelines and production-grade data applications</li><li>
Strong understanding of REST APIs and system integrations</li><li>
Experience working with relational and/or NoSQL databases</li><li>
Experience with data warehousing, data modeling, and large-scale data processing</li><li>
Familiarity with cloud platforms and data services (AWS, Azure, or GCP preferred)</li><li>
Ability to work in ambiguous, real-world problem spaces</li><li>
Strong communication skills with technical and non-technical stakeholders</li><li>
Bachelor's degree in Computer Science, Engineering, or equivalent experience</li></ul><p><b>
Preferred Experience</b></p><ul><li>
Prior experience in healthcare technology or healthcare systems</li><li>
Familiarity with HL7, FHIR, or EHR systems (e.g., Epic, Cerner)</li><li>
Experience working with healthcare workflows (clinical, operational, or administrative systems)</li><li>
Exposure to regulated environments (HIPAA, security-sensitive systems)</li><li>
Experience with big data technologies and distributed processing systems</li><li>
Experience building analytics dashboards or data visualization platforms</li><li>
Experience working with enterprise-scale data platforms and pipelines</li></ul></div>

Data Engineer with Python and React - Remote

<div>
 <em>
  <strong>
   Please submit your CV in English and indicate your level of English proficiency.
   <br/>
   <br/>
  </strong>
 </em>
 Mindrift connects specialists with project-based AI opportunities for leading tech companies, focused on testing, evaluating, and improving AI systems.
 <strong>
  Participation is project-based, not permanent employment.
  <br/>
  <br/>
 </strong>
 <strong>
  What This Opportunity Involves
  <br/>
  <br/>
 </strong>
 While each project involves unique tasks, contributors may:
 <br/>
 <br/>
 <ul>
  <li>
   Design original computational physics problems that simulate real physics research workflows;
  </li>
  <li>
   Create problems requiring Python programming to solve (using Numpy, SciPy, Sympy);
  </li>
  <li>
   Ensure problems are computationally intensive and cannot be solved manually within reasonable timeframes (days/weeks);
  </li>
  <li>
   Develop problems requiring non-trivial reasoning chains in mechanics, electromagnetism, thermodynamics, and quantum mechanics;
  </li>
  <li>
   Base problems on real research challenges or practical applications from physics practice;
  </li>
  <li>
   Verify solutions using Python with standard physics simulation libraries;
  </li>
  <li>
   Document problem statements clearly and provide verified correct answers
   <br/>
   <br/>
  </li>
 </ul>
 <strong>
  What We Look For
  <br/>
  <br/>
 </strong>
 This opportunity is a good fit for quantum researchers with an experience in python open to part-time, non-permanent projects. Ideally, contributors will have:
 <br/>
 <br/>
 <ul>
  <li>
   Degree in Physics (Theoretical, Experimental, or Computational) or related fields;
  </li>
  <li>
   Python proficiency for numerical validation. MATLAB, R, C, SQL, Numpy, Pandas, SciPy, domain-specific libraries, Stata or knowledge of any programming language can be equivalent;
  </li>
  <li>
   2+ years of professional experience: applied, research, or teaching experience is applicable;
  </li>
  <li>
   Experience with numerical simulation methods;
  </li>
  <li>
   Ability to design problems that mirror real physics research workflows;
  </li>
  <li>
   Creative thinking in problem design across diverse physics areas;
  </li>
  <li>
   Familiarity with physics modeling and approximation techniques;
  </li>
  <li>
   Strong written English (C1+)
   <br/>
   <br/>
  </li>
 </ul>
 <strong>
  How It Works
  <br/>
  <br/>
 </strong>
 Apply &rarr; Pass qualification(s) &rarr; Join a project &rarr; Complete tasks &rarr; Get paid
 <br/>
 <br/>
 <strong>
  Project time expectations
  <br/>
  <br/>
 </strong>
 For this project, tasks are estimated to require around 10-20 hours per week during active phases, based on project requirements. This is an estimate, not a guaranteed workload, and applies only while the project is active.
 <br/>
 <br/>
 <strong>
  Compensation
  <br/>
  <br/>
 </strong>
 On this project, contributors can earn up to
 <strong>
  $76 per hour equivalent
 </strong>
 , depending on their level and pace of contribution.
 <br/>
 <br/>
 Compensation varies across projects depending on scope, complexity, and required expertise. Please note that other projects on the platform may offer different earning levels based on their requirements.
</div>


Quantum Research Scientist with Python - Freelance AI Trainer

<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.</p>
<div><div><div><h2 class="jobSectionHeader"><b>Onsite location : New York, Chicago &amp; Atlanta</b></h2>
</div></div><div></div><div><div><h2 class="jobSectionHeader"><b>Job Description</b></h2><br>
</div><div><p><br>
Seeking a highly skilled and motivated Senior Data Engineer to support enterprise data modernization initiatives.
</p><p><b>This role requires deep expertise in Python, AWS, and relational databases, combined with strong experience in mainframe technologies (VSAM, DB2).</b>
<br>
The candidate will play a critical role in end-to-end data migration, transforming legacy data systems into modern, scalable cloud-based architectures while ensuring data accuracy, integrity, and governance standards.
<br>
<br>
<b>Key Responsibilities:</b>
<br>
Lead and execute end-to-end data migration efforts, including planning, design, execution, validation, and post-migration support.
<br>
Analyze legacy data structures (VSAM, DB2) and design transformation strategies into modern RDBMS and AWS environments.
<br>
Develop and maintain data pipelines and automation scripts using Python.
<br>
Design, implement, and maintain data models (conceptual, logical, and physical).
<br>
Manage and administer AWS RDS environments, ensuring high availability, performance optimization, and security compliance.
<br>
Collaborate with business and technology stakeholders to gather and translate requirements into scalable data solutions.
<br>
Ensure adherence to data governance, data quality, and compliance standards.
<br>
Troubleshoot data-related issues and provide timely resolution.
<br>
Prepare technical documentation for data models, migration workflows, and architecture designs.</p>
</div></div></div><p>The base compensation range for this role in the posted location is: $86129 to $127189</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>

Python & AWS Data Engineer

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10000 full stack python developer jobs Near Me

Senior Gen AI/Agentic AI Full stack

Computer Science Expert with Python Experience - AI Projects on Mindrift

Python-Fullstack Developer

Data Engineer with Python and React - Remote

Quantum Research Scientist with Python - Freelance AI Trainer

Python & AWS Data Engineer

Quantum Research Scientist with Python - Freelance AI Trainer