Explore 3 python developer iii jobs from 3 hiring companies in Barnesville, GA, US. Filter by remote, salary, experience, and company, then open any listing to apply.

python-developer-iii

Python Developer Iii

Griffin

Atlanta

Thomaston

McDonough

Macon

Fayetteville

Stockbridge

Peachtree City

Warner Robins

Riverdale

South Fulton

Forest Park

Newnan

Stonecrest

Union City

Conyers

East Point

Covington

College Park

Python Developer Iii Jobs

Google

Momentive Software

Workday

Hybrid

Onsite

Remote

<h1>Job Description</h1>Key Responsibilities:·       Data Analysis &amp; Insight Generation<ul><li><ul><li>Analyze large and complex datasets to extract meaningful insights that drive business outcomes.</li><li>Communicate findings and recommendations through reports, dashboards, and presentations.</li></ul></li></ul>·       Data Engineering &amp; Preparation<ul><li><ul><li>Clean, preprocess, and transform raw data for analysis and modeling.</li><li>Collaborate with data engineering teams to ensure data availability and quality.</li></ul></li></ul>·       Collaboration with Stakeholders<ul><li><ul><li>Work closely with product managers, engineers, and business leaders to understand requirements and deliver data-driven solutions.</li><li>Translate business problems into analytical frameworks.</li></ul></li></ul>·       A/B Testing &amp; Experimentation<ul><li><ul><li>Design and analyze A/B tests to measure the impact of product changes and marketing campaigns.</li><li>Provide statistical rigor in experimentation and decision-making.</li></ul></li></ul>·       Research &amp; Innovation<ul><li><ul><li>Stay up-to-date with the latest developments in data science, machine learning, and AI.</li><li>Propose innovative approaches and solutions for complex problems.</li></ul></li></ul>Other duties as assignedQualifications<ul><li>Education<ul><li>Bachelor’s or Master’s degree in Computer Science, Statistics, Mathematics, Data Science, or a related field.</li></ul></li><li>Experience<ul><li>5&#43; years of experience in data science or a related field.</li><li>Hands-on experience with data analysis, machine learning, and statistical modeling.</li></ul></li><li>Technical Skills<ul><li>Proficiency in Python, R or similar technologies for data analysis and modeling.</li><li>Strong experience with data manipulation libraries (e.g., Pandas, NumPy) and machine learning libraries (e.g., Scikit-Learn, TensorFlow, PyTorch).</li><li>SQL proficiency for data extraction and transformation.</li><li>Knowledge of cloud platforms (e.g., AWS, Azure, Google Cloud) and big data technologies (e.g., Spark, Hadoop) is a plus.</li></ul></li></ul><h1>About Us</h1>Momentive Software amplifies the impact of over 20,000 purpose-driven organizations in over 30 countries, with over $11 billion raised and 55 million members served to date. Mission-driven nonprofits and associations rely on Momentive’s cloud-based software and services to address their most pressing challenges – from engaging their communities to simplifying operations and growing revenue. Designed to help organizations connect more, manage more, and ultimately expect more, Momentive&#39;s solutions are built with reliability at the core and strategically focus on fundraising, learning, events, careers, volunteering, accounting, and association management. Momentive partners with organizations that believe &#34;good enough&#34; is never enough – so they can bring on better outcomes for everyone they serve. Learn more at <a target="_blank" href="https://www.momentivesoftware.com/">momentivesoftware.com</a>.  <h1>Why Work Here?</h1>At Momentive Software, we’re a team of passionate problem-solvers, innovators, and volunteers who believe in using technology to make a real difference. We dream big, support each other, and take pride in creating solutions that help our customers drive meaningful change. If you’re looking for a place where your work matters and your ideas are valued, you’ll find it here.Medical, Dental &amp; Vision Benefits401(k) Savings Plan with Company MatchFlexible Planned Paid Time OffGenerous Sick LeaveInclusive &amp; Welcoming EnvironmentPurpose-Driven CultureWork-Life BalanceCommitment to Community InvolvementEmployer-Paid Parental LeaveEmployer-Paid Short-Term DisabilityRemote Work Flexibility Momentive Software actively embraces diversity and equal opportunity in a meaningful way. We are committed to building a team that represents a variety of backgrounds, perspectives, and skills. The more inclusive we are, the better our work will be, which is why we do not discriminate based on race, color, religion, marital status, age, national origin, ancestry, physical or mental disability, medical condition, pregnancy, genetic information, gender, sexual orientation, gender identity or expression, veteran status, or any other status protected under federal, state, or local law. All persons hired will be required to verify identity, minimum age of 18, eligibility to work in the United States (without sponsorship), and to complete the required employment eligibility verification form upon hire.

Data Engineer III

5+ years in data science or related field; Python or R; SQL; ML libraries; cloud and big data tools.

Your work days are brighter here.We’re obsessed with making hard work pay off, for our people, our customers, and the world around us. As a Fortune 500 company and a leading AI platform for managing people, money, and agents, we’re shaping the future of work so teams can reach their potential and focus on what matters most. The minute you join, you’ll feel it. Not just in the products we build, but in how we show up for each other. Our culture is rooted in integrity, empathy, and shared enthusiasm. We’re in this together, tackling big challenges with bold ideas and genuine care. We look for curious minds and courageous collaborators who bring sun-drenched optimism and drive. Whether you&#39;re building smarter solutions, supporting customers, or creating a space where everyone belongs, you’ll do meaningful work with Workmates who’ve got your back. In return, we’ll give you the trust to take risks, the tools to grow, the skills to develop and the support of a company invested in you for the long haul. So, if you want to inspire a brighter work day for everyone, including yourself, you’ve found a match in Workday, and we hope to be a match for you too.About the TeamThis is a very exciting opening in the AI Platform team in our Agent Optimization &amp; Evaluation, and Information Retrieval team.. We are the Optimization and "Ground Truth" engine for Workday’s AI transformation, building the critical infrastructure that empowers over 65% of the Fortune 500. Our mission is two-fold: 1. Agent Optimization &amp; Evaluation: Providing the algorithms and rigorous data-driven frameworks to validate, scale, and optimize AI agents across our entire enterprise suite. 2. Information Retrieval: Developing the intelligence layer that bridges human language and enterprise data through advanced semantic search and natural language-to-code (SQL/Python) execution. Why Join Us? 1. The Data &amp; Frontier: Solve unique challenges in Agentic AI using exclusive, high-integrity enterprise datasets. 2. Impact at Scale: Your work acts as the optimizer and gatekeeper of quality for products reaching 31 million users globally. 3. People-First Culture: We balance high-intensity innovation with a commitment to sustainable work-life integration. We are looking for creative, results-focused ML Engineers and Senior ML Engineers to help us build the next generation of "AI-first" products.About the RoleWe are seeking pragmatic ML and Senior ML Engineers to drive the applied research, deployment, and optimization of our Agentic AI, Search, and Semantic Parsing products. In this role, you will bridge the gap between deep research and production, embedding cutting-edge agents directly into the Workday ecosystem. Leveraging our vast computing power and exclusive datasets, you will solve complex technical challenges to deliver transformative value to millions of users. If you are ready to apply creative problem-solving to global-scale ML systems, we want to hear from you.In this role, you would:<ul><li>Architect Agentic AI: Design and deploy sophisticated reasoning, planning, and swarm agents that interact seamlessly with enterprise data and support continuous, life-long learning.</li><li>Drive Meta-ML &amp; Optimization: Develop algorithms for automated node-level optimization within agent graphs, identifying the best LLM and prompt configurations for every workflow step. Build recommender systems for engineering teams to drive optimal evaluation for their agents.</li><li>Advance Information Retrieval: Build hybrid, agentic search systems and semantic parsing products (Text-to-SQL/Python) utilizing vector search, reasoning, and fine-tuning for structured output.</li><li>Scale Evaluation &amp; Observability: Engineer cloud-based pipelines (Kubeflow) and A/B testing frameworks for rigorous offline/online evaluation, failure attribution, and safety monitoring.</li><li>Lead the ML Lifecycle: Own the end-to-end MLOps process—from exploration and prompt engineering to scalable production deployment—ensuring high-quality, reliable performance.</li><li>Define Strategic Roadmaps: Independently identify ML opportunities, propose high-impact solutions to leadership, and integrate industry best practices across the organization.</li><li>Collaborate with Autonomy: Work cross-functionally with PMs and Engineers to deliver &#34;AI-first&#34; products, enjoying full ownership of your work within a supportive, growth-oriented culture.</li></ul>About YouBasic Qualifications (MLE III)<ul><li>Deep Technical ML Capability: 3&#43; years of experience researching, developing and deploying production-grade ML systems, including expertise in deep learning, NLP,  Information Retrieval, and recommender systems using frameworks like PyTorch or TensorFlow.</li><li>Generative AI &amp; Agentic Systems: Proven track record of building and evaluating LLM-powered products, including expertise in RAG architectures, agentic frameworks (e.g., LangChain/LangGraph), and long-context LLM applications (e.g., Text-to-SQL).</li><li>Engineering Excellence: Expert-level Python skills with a focus on modular library design, asynchronous patterns, and scalable system architecture (state management/error handling) for non-deterministic AI outputs.</li><li>Production MLOps: Hands-on experience with the full ML lifecycle, including model fine-tuning (PEFT), evaluation frameworks (e.g., DeepEval/RAGAS), and cloud-native deployment (Docker/K8s, AWS/GCP).</li></ul>Basic Qualifications (Senior MLE)<ul><li>Deep Technical ML Leadership: 6&#43; years of experience researching, developing and deploying production-grade ML systems, including expertise in deep learning, NLP,  Information Retrieval, and recommender systems using frameworks like PyTorch or TensorFlow.</li><li>Generative AI &amp; Agentic Systems: Proven track record of building and evaluating LLM-powered products, including expertise in RAG architectures, agentic frameworks (e.g., LangChain/LangGraph), and long-context LLM applications (e.g., Text-to-SQL).</li><li>Engineering Excellence: Expert-level Python skills with a focus on modular library design, asynchronous patterns, and scalable system architecture (state management/error handling) for non-deterministic AI outputs.</li><li>Production MLOps: Hands-on experience with the full ML lifecycle, including model fine-tuning (PEFT), evaluation frameworks (e.g., DeepEval/RAGAS), and cloud-native deployment (Docker/K8s, AWS/GCP).</li></ul>Other Qualifications<ul><li>Academic Foundation: Advanced degree (Master’s or Ph.D.) in a quantitative field or a strong portfolio of peer-reviewed research publications.</li><li>Optimization &amp; Advanced Techniques: Proficiency in techniques like DSPy, Reinforcement Learning, imitation learning, graph neural networks, multi-modal models, and large-scale data processing (PySpark, SQL).</li><li>Experimental Rigor: A &#34;test-everything&#34; mindset with experience in A/B testing, Knowledge Graphs, and &#34;Golden Dataset&#34; curation for model benchmarking.</li><li>Data Pipelines: Proficiency in large-scale data processing (PySpark, SQL).</li><li>Collaborative Leadership: Demonstrated ability to lead cross-functional teams, mentor junior engineers, and solve ambiguous problems with high autonomy.</li></ul>#LI-JH1 Workday Pay Transparency StatementThe annualized base salary ranges for the primary location and any additional locations are listed below.  Workday pay ranges vary based on work location. As a part of the total compensation package, this role may be eligible for the Workday Bonus Plan or a role-specific commission/bonus, as well as annual refresh stock grants. Recruiters can share more detail during the hiring process. Each candidate’s compensation offer will be based on multiple factors including, but not limited to, geography, experience, skills, job duties, and business need, among other things. For more information regarding Workday’s comprehensive benefits, please <a target="_blank" href="https://workdaybenefits.com/us/welcome-to-workday-benefits/prospective-workmates">click here</a>.Primary Location: CAN.ON.Toronto  Primary Location Base Pay Range: $156,000 CAD - $234,000 CAD  Additional US Location(s) Base Pay Range: $163,000 USD - $288,000 USDAdditional Considerations: If performed in Colorado, the pay range for this job is $171,600 - $257,400 USD based on min and max pay range for that role if performed in CO.<div><div><div><div><div><div><div>The application deadline for this role is the same as the posting end date stated as below:  </div></div></div></div></div></div></div>04/10/2026 Our Approach to Flexible Work  With Flex Work, we’re combining the best of both worlds: in-person time and remote. Our approach enables our teams to deepen connections, maintain a strong community, and do their best work. We know that flexibility can take shape in many ways, so rather than a number of required days in-office each week, we simply spend at least half (50%) of our time each quarter in the office or in the field with our customers, prospects, and partners (depending on role). This means you&#39;ll have the freedom to create a flexible schedule that caters to your business, team, and personal needs, while being intentional to make the most of time spent together. Those in our remote &#34;home office&#34; roles also have the opportunity to come together in our offices for important moments that matter.Pursuant to applicable Fair Chance law, Workday will consider for employment qualified applicants with arrest and conviction records.Workday is an Equal Opportunity Employer including individuals with disabilities and protected veterans. At Workday, we are committed to providing an accessible and inclusive hiring experience where all candidates can fully demonstrate their skills. If you require assistance or an accommodation at any point, please email <a target="_blank" href="mailto:accommodations&#64;workday.com">accommodations&#64;workday.com</a>.Are you being referred to one of our roles? If so, ask your connection at Workday about our Employee Referral process!At Workday, we value our candidates’ privacy and data security.  Workday will never ask candidates to apply to jobs through websites that are not Workday Careers.   Please be aware of sites that may ask for you to input your data in connection with a job posting that appears to be from Workday but is not.  In addition, Workday will never ask candidates to pay a recruiting fee, or pay for consulting or coaching services, in order to apply for a job at Workday.

Machine Learning Engineer III / Senior Machine Learning Engineer - AI Platform

Machine Learning Engineer

3+ years ML systems; NLP, IR, recommender; Python, PyTorch/TensorFlow; MLOps, Docker/K8s; PEFT, cloud deployment; 6+ years for senior track; Master’s/PhD preferred.

Note: By applying to this position you will have an opportunity to share your preferred working location from the following: New York, NY, USA; Chicago, IL, USA; Atlanta, GA, USA.<h3>Minimum qualifications:</h3><ul>
<li>Bachelor's degree or equivalent practical experience.</li>
<li>10 years of experience with cloud native architecture in a customer-facing or support role.</li>
<li>Experience with cloud engineering, on-premise engineering, virtualization, or containerization platforms.</li>
<li>Experience engaging with, or presenting to, technical stakeholders or executive leaders.</li>
<li>Experience in programming languages, debugging, systems design, prototyping, demos, or customer workshops.</li>
</ul> <h3>Preferred qualifications:</h3><ul>
<li>Experience with Google Cloud products and differentiating from competition.</li>
<li>Experience working with product and capacity teams to resolve technical and capacity blockers.</li>
<li>Experience with object-oriented programming languages (i.e., Python, Java), and using technical proficiencies to remove blockers and accelerate customer deployment.</li>
<li>Experience in one or more of the following: infrastructure modernization, application modernization, data management, data analytics, cloud AI, networking, migrations or security.</li>
</ul><div><h2>About the job</h2>When leading companies choose Google Cloud, it's a huge win for spreading the power of cloud computing globally. Once educational institutions, government agencies, and other businesses sign on to use Google Cloud products, you come in to facilitate making their work more productive, mobile, and collaborative. You listen and deliver what is most helpful for the customer. You assist fellow sales Googlers by problem-solving key technical issues for our customers. You liaise with the product marketing management and engineering teams to stay on top of industry trends and devise enhancements to Google Cloud products.
As a Google Cloud Platform (GCP) Outcome Customer Engineer (OCE), you will drive initial and ongoing business ramp for our customers, clearing blockers and ensuring they get the maximum benefit from their investment faster. You will manage and execute the deployment plan, transitioning scoped workloads into production by providing technical leadership to customers and partners. You will have a direct impact on the velocity and incremental consumption of customer workloads, leading to accelerated value realization, higher adoption, and future expansion opportunities. You will blend business expertise, market knowledge, direct technical engagement, and technical project management to prove the value of the Google Cloud portfolio.Google Cloud accelerates every organization’s ability to digitally transform its business and industry. We deliver enterprise-grade solutions that leverage Google’s cutting-edge technology, and tools that help developers build more sustainably. Customers in more than 200 countries and territories turn to Google Cloud as their trusted partner to enable growth and solve their most critical business problems.<div> </div><div>The US base salary range for this full-time position is $153,000-$222,000 + bonus + equity + benefits. Our salary ranges are determined by role, level, and location. Within the range, individual pay is determined by work location and additional factors, including job-related skills, experience, and relevant education or training. Your recruiter can share more about the specific salary range for your preferred location during the hiring process.</div><div> </div><div>Please note that the compensation details listed in US role postings reflect the base salary only, and do not include bonus, equity, or benefits. Learn more about <a href="https://careers.google.com/benefits/" target="_blank">benefits at Google</a>.</div></div><div><h2>Responsibilities</h2><ul>
<li>Develop and orchestrate a structured, end-to-end deployment plan across customer and partner teams, onboarding the implementation team, clearing blockers, managing timelines and progress, and ensuring readiness (e.g., capacity, training).</li>
<li>Employ skills such as coding, debugging, or systems design to resolve technical blockers and accelerate deployment.</li>
<li>Drive and track progress of the initial and ongoing ramp of workloads, moving customers from agreement to consumption as quickly as possible.</li>
<li>Identify expansion opportunities for new workloads within the account during project execution.</li>
<li>Drive sustainable product usage to help customers realize value on an ongoing basis and secure future contract renewals.</li>
</ul></div>Google is proud to be an equal opportunity workplace and is an affirmative action employer. We are committed to equal employment opportunity regardless of race, color, ancestry, religion, sex, national origin, sexual orientation, age, citizenship, marital status, disability, gender identity or Veteran status. We also consider qualified applicants regardless of criminal histories, consistent with legal requirements. See also <a href="https://careers.google.com/eeo/">Google's EEO Policy</a> and <a href="/jobs/dist/legal/OFCCP_EEO_Post.pdf">EEO is the Law.</a> If you have a disability or special need that requires accommodation, please let us know by completing our <a href="https://goo.gl/forms/aBt6Pu71i1kzpLHe2">Accommodations for Applicants form</a>.

Customer Engineer III, Outcome, GCP, Google Cloud, FSI

Customer Engineer

Bachelor's degree or equivalent practical experience. 10 years in cloud native architecture; experience with cloud engineering, on-premise engineering, virtualization or containerization; engaging with technical stakeholders; programming and systems design.

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