Explore 1 ai algorithm developer jobs from 1 hiring companies in Hendersonville, TN, US. Filter by remote, salary, experience, and company, then open any listing to apply.

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Ai Algorithm Developer

Nashville

Goodlettsville

Hermitage

Mount Juliet

Gallatin

White House

Millersville

Green Hill

Lebanon

La Vergne

Brentwood

Springfield

Brentwood Estates

Smyrna

Portland

Franklin

Murfreesboro

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Greenbrier

Ai Algorithm Developer Jobs

Capgemini

Onsite

<p><span style="font-size:10.0pt">Choosing Capgemini means choosing a company where you will be empowered to shape your career in the way you’d like, where you’ll be supported and inspired by a collaborative community of colleagues around the world, and where you’ll be able to reimagine what’s possible. Join us and help the world’s leading organizations unlock the value of technology and build a more sustainable, more inclusive world.</span></p><div><div style="padding:10.0px 0.0px;border:1.0px solid transparent"><div style="font-size:16.0px;word-wrap:break-word"><H2 style="font-size:1.0em;margin:0.0px">Locations </H2></div><div><p>WA- Seattle</p></div></div><div style="padding:10.0px 0.0px;border:1.0px solid transparent"><div style="font-size:16.0px;word-wrap:break-word"><H2 style="font-size:1.0em;margin:0.0px">About the job you’re considering</H2></div><div><div style="text-align:justify">The Data Scientist / ML Engineer will demonstrate strong expertise in machine learning algorithms such as Linear and Logistic Regression, Clustering/Segmentation, Decision Trees, Random Forest, Gradient Boosting (GBM), Deep Neural Networks (DNN), Naive Bayes, Support Vector Machines (SVM), and related techniques.<br>This role requires the ability to lead technical initiatives, collaborate with cross‑functional teams, manage projects, and engage effectively with customers to deliver scalable, cloud‑based AI solutions.</div></div></div><div style="padding:10.0px 0.0px;border:1.0px solid transparent"><div style="font-size:16.0px;word-wrap:break-word"><H2 style="font-size:1.0em;margin:0.0px">Your Role </H2></div><div><ul type="disc">
<li>
<div>Responsible for developing and implementing AI‑assisted marketing and business analytics solutions using data science and machine learning on Microsoft Azure.</div>
</li>
<li>
<div>Partner closely with stakeholders across engineering, product, and business teams to deliver innovative, secure, and scalable solutions that drive business growth and improve customer engagement.</div>
</li>
</ul></div></div><div style="padding:10.0px 0.0px;border:1.0px solid transparent"><div style="font-size:16.0px;word-wrap:break-word"><H2 style="font-size:1.0em;margin:0.0px">Required Skills</H2></div><div><ul type="disc">
<li>Design, implement, and optimize machine learning models across supervised, unsupervised, and reinforcement learning paradigms.</li>
<li>Develop solutions involving Natural Language Processing (NLP), computer vision, recommendation systems, and predictive analytics.</li>
<li>Perform feature engineering, data preprocessing, model selection, and hyperparameter tuning.</li>
<li>Experiment with and evaluate novel algorithms and advanced ML techniques to solve complex business problems.</li>
</ul>
<ul type="disc">
<li>Build, train, and deploy models using Azure Machine Learning and associated SDKs.</li>
<li>Design and maintain scalable data and ML pipelines using Azure Data Factory, Azure Databricks, Azure Synapse Analytics, and Azure Data Lake Storage (ADLS).</li>
<li>Deploy and operationalize models using Azure Kubernetes Service (AKS), Azure Container Instances, or Azure Functions.</li>
<li>Implement CI/CD and MLOps best practices using Azure DevOps or GitHub Actions for model versioning, testing, and deployment.</li>
<li>Monitor model performance, data drift, and model health; retrain models as required to ensure continued accuracy and reliability.</li>
<li>Optimize inference performance, cost, and resource utilization in Azure environments.</li>
</ul>
<ul type="disc">
<li>Collaborate closely with Data Engineers to ingest, transform, and manage large‑scale structured and unstructured datasets.</li>
<li>Ensure high standards of data quality, consistency, security, and governance in compliance with enterprise and regulatory requirements.</li>
<li>Work with software engineers, data scientists, and product managers to seamlessly integrate ML solutions into business applications and platforms.</li>
</ul>
<ul type="disc">
<li>Stay current with emerging trends in machine learning, AI, and Azure cloud technologies.</li>
<li>Evaluate new tools, frameworks, and libraries to continuously enhance solution quality and performance.</li>
<li>Mentor junior engineers and data scientists, promoting best practices in ML development, cloud architecture, and MLOps.</li>
</ul>
<p> </p></div></div></div><p><span style="font-size:10.0pt">This job is Referral only .The base compensation range for this role in the posted location is: $46,000 - $110,000</span></p>
<p><span style="font-size:10.0pt">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.</span></p>
<p><span style="font-size:10.0pt">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.</span></p>
<p><span style="font-size:10.0pt">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.</span></p>
<p><span style="font-size:10.0pt">It is not typical for candidates to be hired at or near the top of the posted compensation range.</span></p>
<p><span style="font-size:10.0pt">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.</span></p>
<p> </p>
<p><span style="font-size:10.0pt"><strong>Capgemini offers a comprehensive, non-negotiable benefits package to all regular, full-time employees.</strong> In the U.S. and Canada, available benefits are determined by local policy and eligibility and may include: </span></p>
<ul type="disc">
<li style="font-size:10.0pt"><span style="font-size:10.0pt">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</span></li>
</ul>
<ul type="disc">
<li style="font-size:10.0pt"><span style="font-size:10.0pt">Medical, dental, and vision coverage (or provincial healthcare coordination in Canada)</span></li>
<li style="font-size:10.0pt"><span style="font-size:10.0pt">Retirement savings plans (e.g., 401(k) in the U.S., RRSP in Canada)</span></li>
<li style="font-size:10.0pt"><span style="font-size:10.0pt">Life and disability insurance</span></li>
<li style="font-size:10.0pt"><span style="font-size:10.0pt">Employee assistance programs</span></li>
<li style="font-size:10.0pt"><span style="font-size:10.0pt">Other benefits as provided by local policy and eligibility</span></li>
</ul>
<p><span style="font-size:10.0pt"><strong>Important Notice:</strong> 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’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.</span></p>
<p> </p>
<p><span style="font-size:12.0pt"><strong>Disclaimers</strong></span></p>
<p><span style="font-size:10.0pt">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.</span></p>
<p><span style="font-size:10.0pt">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.</span></p>
<p><span style="font-size:10.0pt">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.</span></p>
<p><span style="font-size:10.0pt">Click the following link for more information on your rights as an Applicant in the United States.  <a href="http://www.capgemini.com/resources/equal-employment-opportunity-is-the-law" target="_blank" rel="noopener">http://www.capgemini.com/resources/equal-employment-opportunity-is-the-law</a></span></p>
<p> </p>
<p><span style="font-size:10.0pt">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.</span></p>
<p> </p>

Associate AI - Data Scientist / ML Engineer (Azure) (Nashville, TN, US)

AI Data Scientist / ML Engineer

Experience with ML algorithms, Azure ML, data pipelines, and MLOps; strong collaboration and cloud-based AI solutions.

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Ai Algorithm Developer Jobs in Hendersonville, TN, US

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