{"id":1641906,"url":"https://alion.io/job/the-coca-cola-company-datamachine-learning-engineer-ii","title":"Data/Machine Learning Engineer II","company":{"id":1889,"name":"The Coca-Cola Company","domain":"coca-colacompany.com","url":"https://alion.io/company/the-coca-cola-company","size_band":"5000+","is_staffing_agency":false,"employer_type":"direct","is_intermediary":false,"listed_via":null,"ats_vendor":"Workday","truth_index":{"grade":"A","score":100,"open_postings":56,"ghost_share":0.018,"stale_share":0.036,"repost_share":0.179,"time_to_fill_p50_days":12,"computed_at":"2026-10-23T05:54:15Z"}},"role":"AI/ML","role_family":"AI/ML","seniority":"middle","employment_type":"full_time","work_mode":"on_site","remote_scope":null,"remote_scope_basis":null,"remote_working_hours":null,"hiring_geo_confidence":"explicit","locations":["Atlanta, United States"],"countries":["US"],"hiring_countries":[],"hiring_countries_total":0,"salary":{"min":171000,"max":198000,"currency":"USD","period":"year","gross":null,"usd_annual":198000},"salary_estimate":null,"experience_years_min":5,"visa_sponsorship":true,"relocation_package":false,"has_equity":false,"technologies":[{"name":".NET","optional":false},{"name":"Agile","optional":false},{"name":"Amazon Redshift","optional":false},{"name":"Azure","optional":false},{"name":"Azure Cosmos DB","optional":false},{"name":"Azure DevOps","optional":false},{"name":"C#","optional":false},{"name":"CI/CD","optional":false},{"name":"Computer Vision","optional":false},{"name":"Databricks","optional":false},{"name":"DynamoDB","optional":false},{"name":"Embeddings","optional":false},{"name":"Git","optional":false},{"name":"GitHub","optional":false},{"name":"JavaScript","optional":false},{"name":"Machine Learning","optional":false},{"name":"Python","optional":false},{"name":"PyTorch","optional":false},{"name":"React.js","optional":false},{"name":"Rest API","optional":false},{"name":"Scala","optional":false},{"name":"Scikit-learn","optional":false},{"name":"Scrum","optional":false},{"name":"Spring Boot","optional":false},{"name":"SQL","optional":false},{"name":"TensorFlow","optional":false},{"name":"Terraform","optional":false},{"name":"TypeScript","optional":false},{"name":"XGBoost","optional":false},{"name":"Java","optional":true}],"status":"closed","first_seen_at":"2026-10-01T22:24:56Z","employer_posted_date":"2026-10-01","last_verified_at":"2026-10-19T12:57:48Z","board_verified":false,"closed_at":"2026-10-19T12:57:48Z","days_open":17,"trust":{"level":"not_scored","repost_count":null,"flags":[],"days_open":17},"description":"Job Description Summary:\nOur view of digital is one of an integrated ecosystem of platforms that create value across the digital and physical world. Our digital strategy creates value not only for our consumer and customers but across our organization and system. As the Lead Data Engineer, you will be a technical lead for data products and subject matter expert to a team of data engineers. The successful candidate should be an analytical thinking, self-learner, and be able to lead a team through proactive solution development. If you have a passion for innovation, be at the forefront of our iconic digital transformation.\nWhat You’ll Do for Us\nDesign and develop scalable web applications using React, TypeScript/JavaScript, HTML, and CSS.\nBuild backend services and REST APIs using technologies such as Java/Spring Boot, Python, .NET, or equivalent.\nDesign and develop integrations among Salesforce, web and mobile applications, CRM platforms, databases, and enterprise systems.\nWork with relational databases such as SQL Server, including data modeling, queries, and application integration.\nBuild secure API-driven solutions using modern authentication and authorization patterns.\nData & Machine Learning EngineeringWork with data from enterprise data platforms, customers, and external data providers to develop intelligent product capabilities.\nDevelop data preparation, transformation, and feature engineering pipelines.\nBuild predictive, classification, ranking, recommendation, segmentation, or forecasting models based on business requirements.\nEvaluate when to use traditional machine learning versus advanced techniques such as deep learning, transformers, computer vision, embeddings, vector search, or RAG.\nDevelop batch or online model inference pipelines and services.\nExpose model predictions and recommendations through APIs for consumption by Salesforce, CRM, web, and mobile applications.\nImplement model and data validation, automated testing, and quality controls.\n\nProduction Engineering & MLOpsBuild CI/CD pipelines for application and machine learning workloads.\nSupport experiment tracking, model versioning, deployment, and lifecycle management.\nMonitor applications and models for availability, performance, data quality, and model degradation or drift.\nSupport production solutions and troubleshoot issues across systems.\nImprove scalability, reliability, security, observability, and maintainability.\nOwn capabilities throughout their lifecycle, from requirements through production support and continuous improvement.\n\nQualification & Requirements\n5-10 years of professional software engineering experience, with experience spanning application development, data, or machine learning systems.\nStrong programming experience iat least one enterprise application development language such as Pyton, Java, C#, or equivalent.\nStrong experience with JavaScript/TypeScript and modern web development.\nHands-on experience with React or a comparable modern frontend framework.\nExperience designing and developing REST APIs and backend services.\nStrong SQL skills and experience with relational databases such as SQL Server.\nExperience developing data pipelines, transforming datasets, and performing feature engineering.\nPractical experience developing machine learning models using frameworks such as scikit-learn, XGBoost, PyTorch, TensorFlow, or equivalent.\nExperience taking machine learning solutions beyond experimentation into production inference.\nExperience integrating multiple enterprise systems using APIs and modern integration patterns.\nExperience with automated testing, containers, monitoring, and production support.\nStrong software engineering fundamentals including modular design, testing, code reviews, debugging, and maintainability.\nAbility to work across Product, Data, Architecture, Business, and Engineering teams to translate requirements into production solutions. \nExperience using CI/CD tools - GitHub, GoCD, Terraform and/or Azure DevOps \nSolid knowledge about data modeling and architecture \nKnowledge with developing applications using public cloud, preferably Azure, specially focused in Data Services (CosmosDB, DynamoDB, Databricks, Glue, DataLake, Redshift, Azure Synapse etc.) \nUnderstand Agile Scrum, CI/CD, DevOps best practices \nSolid understanding of Git-based version control \nWhat We Can Do For You\nInnovation & Technology: The ability to work with an award-winning team that is on the cutting edge of innovation. \nExposure to World Class Leaders: Availability to global technology leaders that will expand your network and exposure you to emerging technologies and techniques. \n Agile Work Environment: We embrace agile with management that believes in removing barriers and empowering you to experiment, iterate and innovate. \nThe Coca-Cola Company will not offer sponsorship for employment status (including, but not limited to, H1-B visa status and other employment-based nonimmigrant visas) for this position. Accordingly, all applicants must be currently authorized to work in the United States on a full-time basis and must not require The Coca-Cola Company's sponsorship to continue to work legally in the United States.Skills:\nAgile, Azure Devops, Business Intelligence Software, DevOps, GitHub, Microsoft Azure, Non Relational Databases, Object-Oriented Programming (OOP), Python (Programming Language), Scala (Programming Language), Software Development, Software Engineering, Structured Query Language (SQL), Terraform (Software), Testing MethodologyPay Range:\nUnited States: 171,000 - 198,000 USD\nBase pay offered may vary depending on geography, job-related knowledge, skills, and experience. A full range of medical, financial, and/or other benefits, dependent on the position, is offered.\nAnnual Incentive Reference Value Percentage:\n15Annual Incentive reference value is a market-based competitive value for your role. It falls in the middle of the range for your role, indicating performance at target.\nLocation(s):\nUnited States of AmericaCity/Cities:\nAtlantaTravel Required:\n00% - 25%Relocation Provided:\nYesJob Posting End Date:\nOctober 14, 2026Our Purpose and Growth Culture:\nWe are taking deliberate action to nurture an inclusive culture that is grounded in our company purpose, to refresh the world and make a difference. We act with a growth mindset, take an expansive approach to what’s possible and believe in continuous learning to improve our business and ourselves. We focus on four key behaviors - curious, empowered, inclusive and agile - and value how we work as much as what we achieve. We believe that our culture is one of the reasons our company continues to thrive after 130+ years. Visit Our Purpose and Vision to learn more about these behaviors and how you can bring them to life in your next role at Coca-Cola.\nWe are an Equal Opportunity Employer and do not discriminate against any employee or applicant for employment because of race, color, sex, age, national origin, religion, sexual orientation, gender identity and/or expression, status as a veteran, and basis of disability or any other federal, state or local protected class. When we collect your personal information as part of a job application or offer of employment, we do so in accordance with industry standards and best practices and in compliance with applicable privacy laws.","description_format":"text","description_chars":7359,"description_truncated":false,"requirements":{"experience_years_min":5,"management_years_min":null,"team_size_min":null,"manages_managers":false,"education":null,"security_clearance":false,"languages":[]},"benefits":["Continuous learning"],"hiring_locations":[{"name":"United States","iso":"US","kind":"country"}],"hiring_excludes":[],"relocation_offered":true,"industries":["Food & Beverages"],"lifecycle":[{"event":"open","at":"2026-10-01T22:24:56Z"},{"event":"close","at":"2026-10-19T12:57:48Z"}],"visa":[{"country":"US","licensed_sponsor":true,"evidence":"H-1B filings in 12 months: 4 · green card filings: 2","filings_12m":4,"filings_prev_12m":17,"green_card_filings_12m":2,"median_offered_wage_usd":122500,"route":null,"cap_exempt":false,"checked_at":"2026-10-15T11:24:14+00:00","sources":["US Department of Labor: LCA disclosure data (H-1B, H-1B1, E-3)","US Department of Labor: PERM disclosure data (green cards)"],"filings_for_role_12m":3}],"liveness":null,"pay":{"stated_usd_annual":198000,"is_top_pay":true},"html_url":"https://alion.io/job/the-coca-cola-company-datamachine-learning-engineer-ii","json_url":"https://alion.io/job/the-coca-cola-company-datamachine-learning-engineer-ii.json","meta":{"generated_at":"2026-10-23T10:30:32Z","cache_seconds":300,"methodology":"https://alion.io/methodology","terms":"https://alion.io/terms","contact":"https://alion.io/contact","api":"https://alion.io/developers","about":"Alion is a live layer of people, companies and AI agents: who they are, whether they are real and active right now, what they do and how to work with them, readable by people and by agents and paid per call.","catalog":"https://alion.io/catalog.json","usage":{"tier":"crawler_verified","counted_by":"address","units_charged":1,"used_today":15978,"day_limit":null,"remaining_today":null,"minute_limit":300,"resets_at":"2026-10-24T00:00:00Z"}},"offers":[{"id":"company.slices","title":"One company in depth, by slice","status":"live","price":{"credits":0.02,"usd":0.002,"plus_per_slice":{"credits":0.05,"usd":0.005}},"unit":"per company, plus each slice with data","note":"the employer in depth","call":{"mcp_tool":"get_company","arguments":{"id":1889},"rest":"https://alion.io/mcp/rest/get_company?id=1889"},"human":"https://alion.io/catalog?offer=company.slices&for=job%2Fthe-coca-cola-company-datamachine-learning-engineer-ii"},{"id":"market.stats","title":"A market slice: pay, demand and time to fill","status":"live","price":{"credits":1,"usd":0.1},"unit":"per slice","note":"pay, demand and time to fill for this role and place","call":{"mcp_tool":"market_stats"},"human":"https://alion.io/catalog?offer=market.stats&for=job%2Fthe-coca-cola-company-datamachine-learning-engineer-ii"},{"id":"job.search","title":"Open jobs by role, technology, place, pay and visa","status":"live","price":{"credits":0.02,"usd":0.002},"unit":"per posting in a list","note":"similar open postings","call":{"mcp_tool":"search_jobs"},"human":"https://alion.io/catalog?offer=job.search&for=job%2Fthe-coca-cola-company-datamachine-learning-engineer-ii"},{"id":"company.verify","title":"Is this company real and active right now","status":"pilot","price":null,"unit":"per company","request":{"url":"https://alion.io/catalog/request","method":"POST","body":"{\"offer\": \"company.verify\", \"for\": \"job/the-coca-cola-company-datamachine-learning-engineer-ii\", \"note\": \"what you need it for\"}"},"human":"https://alion.io/catalog?offer=company.verify&for=job%2Fthe-coca-cola-company-datamachine-learning-engineer-ii"}]}