📋 Job Details at a Glance 📍 Location Pune, India 🏢 Company Workday 👥 Experience 3+ years 🎓 Qualification 3+ years. Hands-on with Python, SQL, AWS, GCP, Azure, REST APIs, APIs, AI / LLM agents. Relevant technical / engineering background 📅 Eligible Batch 2023, 2024, 2025, 2026 📄 Job Type Full Time 💰 Salary Not Disclosed 🏢 Industry Technology 🛠 Key Skills Python SQL AWS GCP Azure REST APIs APIs AI Sr. Associate Support Engineer (AI & ML Application Support) at Workday — Full Details & How to Apply Workday is seeking a Sr. Associate Support Engineer (AI & ML Application Support) in Pune, India to support AI and ML applications. This role requires 3+ years of hands-on experience with Python, SQL, and cloud platforms , offering direct access to real-world AI/ML application support operations. This Sr. Associate Support Engineer (AI & ML Application Support) role is essential for maintaining the stability and performance of AI and ML applications. The position involves troubleshooting and resolving technical issues using Python , SQL , REST APIs , and cloud infrastructure. Daily responsibilities include monitoring system performance, diagnosing errors, and ensuring seamless application operations across AWS , GCP , and Azure environments. The job posting confirms that Workday is seeking a technical support engineer to support its AI & ML application platform. The role is part of Workday ’s platform operations team, where engineers ensure reliable performance of AI-driven tools. This position is embedded within Workday ’s technology operations, focusing on application support and service delivery. 2023, 2024, 2025, 2026 graduates are eligible. Candidates must have 3+ years. Hands-on with Python, SQL, AWS, GCP, Azure, REST APIs, APIs, AI / LLM agents. Relevant technical / engineering background and 3+ years experience . The salary is Not Disclosed . Applicants will gain hands-on experience with Python , SQL , AWS , GCP , Azure , REST APIs , and AI / LLM agents . This role provides a pathway into AI-driven platform operations and supports progression into senior engineering or AI support leadership roles within technology environments. 📊 Role Difficulty: Medium | Competition Level: Medium | Fresher Friendly: No NexisGrow.com features this opportunity as part of its curated tech job listings. All details are sourced from the official job posting. Apply online before the opportunity closes. Job Role & Responsibilities The Senior Associate Support Engineer at Workday ensures AI and ML application stability by diagnosing production faults, maintaining Python and SQL scripts, and validating REST APIs across AWS , GCP , and Azure environments. This role directly impacts application uptime , customer issue resolution time , and service reliability metrics. Diagnose production failures in AI/ML applications using Python scripts to parse logs and detect anomalies in model inference pipelines. Query SQL databases to extract performance metrics and validate data consistency across Workday application layers. Deploy and manage AI application components on AWS , GCP , and Azure using infrastructure-as-code tools like Terraform or AWS CloudFormation. Integrate services via REST APIs and APIs to connect AI models with backend systems, ensuring real-time data flow and error handling. Automate performance monitoring reports using Python and SQL to generate daily dashboards for application availability and latency metrics. Review and maintain Python and SQL code in the AI application codebase to ensure high availability and error resilience under load. Collaborate with engineering teams to resolve customer-reported issues by validating API endpoints and cloud platform configurations on AWS and GCP . Document troubleshooting workflows and create technical reports that track issue resolution time , reproduction steps , and root cause analysis for future reference. This role demands direct ownership of AI application stability , with measurable impact on system uptime , customer support response time , and production incident frequency . Required Skills & Technical Competencies The role requires a strong technical foundation in Python , SQL , and cloud platforms, with hands-on experience in AWS , GCP , Azure , and REST APIs to support AI/ML applications in production environments. Technical Skills Python — advanced — used to develop and maintain AI/ML application scripts, including model inference pipelines and error-handling logic. SQL — intermediate to advanced — used to query production databases for performance metrics, data integrity checks, and anomaly detection. AWS — intermediate — used to deploy and monitor AI services on EC2, S3, and RDS, with configuration of security groups and IAM roles. GCP — intermediate — used to manage AI model hosting on Vertex AI and to configure cloud storage and compute instances . Azure — intermediate — used to deploy and maintain ML pipelines on Azure Machine Learning and manage containerized services . REST APIs — intermediate — used to integrate AI models with backend systems, validate endpoint responses, and handle JSON payloads in production. APIs — intermediate — used to orchestrate service interactions between AI components and data ingestion pipelines in cloud environments . When preparing your resume, emphasize Python and SQL projects that directly support AI/ML applications , and include cloud deployment or API integration examples with measurable outcomes. Eligibility Criteria This role is designed for candidates with a technical engineering background , at least 3 years of hands-on experience , and a proven ability to work with AI/ML applications in cloud environments. Must hold a Bachelor’s degree in Computer Science, Engineering, or a related technical field. Eligible batches are 2023 , 2024 , 2025 , and 2026 . Minimum of 3 years of relevant technical experience in AI/ML application support or cloud-based engineering roles. CGPA of 3.0 or above is required for admission consideration. Must have a technical portfolio demonstrating Python , SQL , and cloud deployment projects related to AI or ML applications. Experience with production-level AI/ML support or API integration is a key requirement for selection. Documentation & Portfolio Requirements Your resume must include a technical portfolio with at least two projects showing Python and SQL usage, cloud platform deployment, and integration with REST APIs in an AI or ML context. For this role, prioritize showcasing a Python script that resolves a real-world AI model inference failure, paired with a SQL query that validates data consistency in a production database — this combination demonstrates both technical depth and operational impact. Salary for Sr. Associate Support Engineer (AI & ML Application Support) at Workday 💰 Compensation Not Disclosed The advertised compensation for the Sr. Associate Support Engineer (AI & ML Application Support) role at Workday is Not Disclosed . The exact in-hand figure and any additional components are confirmed by the company during the offer or HR discussion stage. Recommended Courses & Preparation Tips for Sr. Associate Support Engineer (AI & ML Application Support) Upskilling with the right resources significantly enhances your chances of selection for this specific role by ensuring you meet the technical requirements. Recommended Courses & Resources Python — Essential for developing and troubleshooting AI applications. SQL — Crucial for managing and querying databases effectively. AWS — Familiarity with this cloud platform is vital for deployment and support. GCP — Important for understanding cloud-based AI solutions. KodNest — Offers practical experience in application support and development. Boost your profile with relevant certifications at NexisGrow GetCertified — strengthen your application before you apply. Common Mistakes to Avoid ❌ Applying without demonstrating experience in Python or SQL — Ensure to include specific projects or tasks. ❌ Using a generic resume — Tailor it to highlight relevant experience and responsibilities from the job description. ❌ Listing technologies like AWS or GCP without context — Provide application details from past roles or projects. ❌ Ignoring the experience requirement of 3+ years — Ensure your application reflects this essential criterion. ❌ Adding unrelated technologies or unsupported claims — Stick to substantiated experiences to avoid disqualification. ❌ Failing to verify the official Apply URL — Always check the link before submission to avoid errors. Before You Apply — Checklist ✅ Confirm the job title, company, location, work mode, and experience requirement. ✅ Check that the candidate meets the supplied qualification criteria. ✅ Verify eligibility against the supplied eligible batches and experience requirement. ✅ Add relevant supplied JD keywords naturally to the resume. ✅ Highlight projects or experience related to the supplied technologies and responsibilities. ✅ Remove unsupported technologies, achievements, or experience claims. ✅ Open and verify the supplied Apply URL before submitting the application. ✅ Save the job details, application date, and role-specific resume version for tracking. Resume Tailoring & ATS Keywords for Sr. Associate Support Engineer (AI & ML Application Support) Optimizing your resume for ATS is crucial for this role to ensure it passes initial screenings and highlights your relevant skills. ATS Keywords to Include Python SQL AWS GCP Azure REST APIs AI ML Support Engineer Application Support Technical Support Troubleshooting Resume Tips for This Role Highlight your experience with Python and SQL prominently on your resume, as these are critical for the role. Emphasize familiarity with cloud platforms like AWS , GCP , and Azure , as well as REST APIs . Showcase a project that involved AI or ML applications to demonstrate relevant experience. Use exact keywords from the job description naturally in your resume to align with ATS requirements. Avoid adding unsupported technologies or experiences that cannot be substantiated. Build an ATS-optimized resume for this role using NexisGrow Resume Builder — free for all job seekers. Pro Tip: Do not include unrelated experiences or unsupported claims in your resume for this role. How to Apply for Sr. Associate Support Engineer (AI & ML Application Support) at Workday Apply Now — Workday Open the supplied official Apply URL and confirm the job title and company. Prepare a resume aligned with the supplied skills, responsibilities, qualification, and experience requirements. Complete the official application form accurately and avoid unsupported claims. Submit the application and save the confirmation or application reference if the portal provides one. Record the application date and monitor the official company portal or registered email for updates. Applications reviewed on rolling basis — early submission recommended. Apply Now — Workday NexisGrow.com does not charge any fees for job applications. Workday Workday is a technology company based in Pune, India, offering AI solutions for workforce and financial operations. This role is onsite and focuses on AI & ML application support, leveraging skills in Python , SQL , AWS , GCP , Azure , and REST APIs . The team collaborates with engineers and customers to ensure effective deployment and support of AI and ML applications. They work on real-time operational efficiency and decision-making through integrated AI platforms. This role provides early-career exposure to advanced technologies such as Python , SQL , and cloud platforms, enabling hands-on experience in AI and ML application support within a real-world operational environment. Company Details Industry Technology Location Pune, India Connect With Us Careers Apply Now Website 🔗 workday.wd5.myworkdayjobs.com Frequently Asked Questions Interview · Role · Salary · Growth ? Who can apply for this role? Eligibility Tap to expand + Answer Candidates with a relevant technical background, from eligible batches 2023 to 2026, and with 3+ years of experience. ? What technical skills are most important for this role? Skills Tap to expand + Answer Python, SQL, AWS, GCP, Azure, REST APIs, and AI are critical for this position. ? What is the expected salary for this position? Salary Tap to expand + Answer Salary Display: Not Disclosed. ? What should I expect after applying? Hiring Process Tap to expand + Answer The exact hiring stages are not specified in the job posting. ? How should I prepare for the interview? Preparation Tap to expand + Answer 1. Review Python and SQL fundamentals. 2. Familiarize yourself with AWS, GCP, and Azure. 3. Prepare to discuss AI and ML applications. 4. Understand REST APIs and their usage. 5. Be ready to showcase troubleshooting examples. ? Is this role remote, hybrid, or onsite? Work Mode Tap to expand + Answer This role is onsite in Pune, India. ? What career exposure can this role provide? Growth Tap to expand + Answer Exposure to AI and ML technologies, cloud platforms, and customer support responsibilities. ? What should I highlight in my resume for this role? Resume Tap to expand + Answer Highlight Python, SQL, AWS, GCP, and any relevant AI or ML project experience. ? Is there a last date to apply? Application Tap to expand + Answer Not specified in the job posting. ? Is there a probation period? Probation Tap to expand + Answer Not specified in the job posting. ? What is the work environment like for this role? Culture Tap to expand + Answer The role involves collaboration with engineering teams and customer support. ? Can freshers apply for this role? Fresher Tap to expand + Answer No, as the experience requirement is 3+ years. 🔗 Explore More on NexisGrow More jobs in Pune Browse all Tech jobs Latest Fresher jobs More jobs at Workday Work From Home jobs Ready to Apply? Don't Miss This Opportunity! Apply only via the official link. NexisGrow.com charges zero application fees. 👉 Apply Now — Official Link NexisGrow.com does not charge any application or registration fees. Beware of fraudulent offers. Naukri ki baat, NexisGrow ke saath • NexisGrow.com