📋 Job Details at a Glance 📍 Location Bangalore, Karnataka, India 🏢 Company Smartsheet 👥 Experience 0-2 years 🎓 Qualification BE/BTech/BCA/MCA or equivalent 📅 Eligible Batch 2022, 2023, 2024, 2025 📄 Job Type Full Time 💰 Salary ₹25–40 LPA 🏢 Industry Technology 🛠 Key Skills Python Databricks Kubernetes MLflow AWS Azure GCP LangChain LangGraph Senior AI/ML Operations, Python Engineer at Smartsheet — Full Details & How to Apply Smartsheet is seeking a Senior AI/ML Operations, Python Engineer to join their innovative team in Bangalore, Karnataka, India . This remote role offers a competitive salary of ₹25–40 LPA , making it an ideal opportunity for freshers looking to kickstart their careers in a high-demand field. The demand for AI/ML engineers is surging as companies increasingly rely on data-driven decision-making. This role is critical for Smartsheet ’s growth, enhancing their AI capabilities and improving operational efficiency for millions of users worldwide. As organizations prioritize AI integration, the need for skilled professionals in this area is more important than ever. What sets Smartsheet apart is its impressive scale and collaborative work management platform, utilized by over 90% of Fortune 100 companies. Founded in 2009 , Smartsheet has grown to over 1,200 employees globally, fostering a culture of innovation and teamwork. This environment is ideal for a Senior AI/ML Operations, Python Engineer looking to make a significant impact. We encourage 2022, 2023, 2024, 2025 graduates with a BE/BTech/BCA/MCA or equivalent qualification and 0-2 years experience to apply. With a salary range of ₹25–40 LPA , this position is perfect for freshers eager to advance their careers in technology. In this role, you will gain hands-on experience with cutting-edge technologies like Python , Databricks , Kubernetes , and MLflow . This exposure not only enhances your skill set but also opens doors to advanced positions in AI and machine learning, paving the way for rapid career progression in a thriving industry. 📊 Role Difficulty: Medium | Competition Level: Medium | Fresher Friendly: Yes 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 core mission of the Senior AI/ML Operations, Python Engineer at Smartsheet is to enhance product features through innovative machine learning solutions, directly impacting user experience and operational efficiency. Develop and optimize machine learning models using Python and MLflow to improve product features and user engagement. Utilize Databricks for data processing and analytics, ensuring efficient data workflows and seamless model deployment. Collaborate with cross-functional teams, including data scientists and product managers, to align AI initiatives with business objectives. Monitor and analyze performance metrics of deployed models, making data-driven adjustments to enhance accuracy and efficiency. Take ownership of end-to-end model lifecycle management, from development to deployment and monitoring using Kubernetes . Document processes and communicate findings to stakeholders, ensuring transparency and knowledge sharing across teams. Assist in troubleshooting and resolving client-facing issues related to AI/ML functionalities, enhancing customer satisfaction. This role fosters an ownership culture, allowing you to make a direct impact on the success of AI initiatives and overall product quality. Required Skills & Technical Competencies The ideal candidate must possess a robust technical skill profile to effectively contribute to AI/ML projects at Smartsheet . Technical Skills Python — entry — essential for developing and deploying machine learning models, requiring proficiency in libraries such as Pandas and NumPy. Databricks — entry — used for data engineering and analytics, facilitating collaborative data workflows within the team. Kubernetes — entry — critical for managing containerized applications, ensuring scalability and reliability of AI solutions. MLflow — entry — utilized for tracking experiments and managing the machine learning lifecycle, enhancing project organization. AWS — entry — important for deploying AI solutions in scalable environments, with hands-on experience expected. Azure — entry — utilized for cloud-based deployments of AI models, ensuring efficient resource management. GCP — entry — necessary for leveraging cloud services to enhance AI model performance and scalability. LangChain — entry — used for building applications with language models, contributing to innovative AI solutions. LangGraph — entry — applied for developing graph-based applications, enhancing data representation in AI projects. When showcasing these technical skills in your resume or interview, emphasize specific projects or experiences that demonstrate your proficiency and impact. Eligibility Criteria This role is designed for recent graduates eager to start their careers in AI/ML operations at Smartsheet . Candidates must hold a BE/BTech/BCA/MCA or equivalent degree, providing a strong foundation in technical skills relevant to AI/ML. Eligible batches include 2022, 2023, 2024, and 2025 , allowing recent graduates to apply and kickstart their careers. While 0-2 years of experience is required, freshers are encouraged to apply, as the role is designed for entry-level candidates. A minimum academic performance of 60% is preferred, ensuring candidates possess a solid understanding of core concepts. Having a portfolio or GitHub showcasing relevant projects or internships can significantly enhance a candidate's application. Documentation & Portfolio Requirements Ensure your resume is clear and concise, highlighting relevant projects, technical skills, and academic achievements. Include links to your portfolio or GitHub for a comprehensive view of your work. Pro tip: Tailor your application to highlight specific experiences with Python and MLflow to stand out in the selection process. Salary for Senior AI/ML Operations, Python Engineer at Smartsheet 💰 Compensation ₹25–40 LPA The advertised compensation for the Senior AI/ML Operations, Python Engineer role at Smartsheet is ₹25–40 LPA . 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 Senior AI/ML Operations, Python Engineer Upskilling with the right resources significantly enhances your chances of selection for this specific role. Recommended Courses & Resources Python — Essential for developing AI/ML applications and algorithms. Databricks — Crucial for managing big data and machine learning workflows. Kubernetes — Important for deploying and scaling ML models in production. AWS — Key for leveraging cloud services for AI/ML solutions. KodNest — Provides hands-on experience with AI/ML projects. Boost your profile with relevant certifications at NexisGrow GetCertified — strengthen your application before you apply. Common Mistakes to Avoid ❌ Failing to tailor the resume — Highlight relevant skills and experiences specific to AI/ML roles. ❌ Neglecting practical projects — Showcase internships or projects that demonstrate technical capabilities. ❌ Using generic language — Provide specific examples illustrating problem-solving skills in tech contexts. ❌ Overlooking formatting — Ensure clarity for quick assessment by recruiters. ❌ Not preparing for technical interviews — Practice coding challenges and understand AI/ML concepts. ❌ Ignoring application instructions — Follow all guidelines carefully to avoid disqualification. Before You Apply — Checklist ✅ Research Smartsheet 's products and culture to tailor your application effectively. ✅ Update your resume to reflect relevant skills and experiences related to AI/ML. ✅ Prepare a cover letter that connects your background to the role and company values. ✅ Gather references or recommendations from professors or previous employers in tech. ✅ Ensure your LinkedIn profile is up-to-date and aligns with your resume. ✅ Practice coding challenges and technical questions relevant to AI/ML roles. ✅ Double-check the application for any errors before submission. ✅ Set a reminder to follow up on your application status after a week. Resume Tailoring & ATS Keywords for Senior AI/ML Operations, Python Engineer Optimizing your resume for ATS is crucial for standing out in the application process for this role. ATS Keywords to Include Python Databricks Kubernetes MLflow AWS Azure GCP LangChain LangGraph AI/ML Operations Engineer Resume Tips for This Role Highlight relevant coursework or projects that demonstrate your proficiency in Python and machine learning. Emphasize teamwork and collaboration experiences, particularly in tech-related projects. Include links to your portfolio or GitHub to showcase practical applications of your skills in AI/ML. Optimize your resume for ATS by using keywords from the job description. Avoid including unrelated work experiences or skills that do not pertain to the AI/ML field. Build an ATS-optimized resume for this role using NexisGrow Resume Builder — free for all job seekers. Pro tip: Avoid including unrelated skills or experiences that do not align with the AI/ML focus of the role. How to Apply for Senior AI/ML Operations, Python Engineer at Smartsheet Apply Now — Smartsheet Visit the application portal and create an account to start your application. Upload your resume, ensuring it is tailored to the job description and highlights relevant skills. Fill out the application form accurately, providing all requested information. After submission, expect a confirmation email and keep an eye on your inbox for updates. Use the application tracking feature on the portal to monitor the status of your application. Applications reviewed on a rolling basis — early submission recommended. Apply Now — Smartsheet NexisGrow.com does not charge any fees for job applications. Smartsheet Founded in 2009 , Smartsheet is headquartered in Bellevue, Washington , and has established a significant presence in Bangalore, Karnataka, India . With over 1,500 employees , the company operates globally, serving clients in various industries, including technology, healthcare, and finance. This extensive reach underscores its commitment to enhancing collaborative work management. The flagship product of Smartsheet is its innovative work management platform, which integrates seamlessly with tools like Microsoft Teams and Slack . This platform allows teams to streamline workflows, manage projects, and improve productivity. Additionally, Smartsheet offers solutions for automation and reporting, catering to diverse organizational needs. Smartsheet has received numerous accolades for its workplace culture, including a Glassdoor rating of 4.3 , reflecting high employee satisfaction. The company promotes a culture of inclusivity and continuous learning, offering programs that support professional development and employee engagement. These initiatives contribute to a positive work environment that values collaboration and innovation. Recently, Smartsheet announced a strategic partnership with AWS to enhance its cloud capabilities, showcasing its focus on technological advancement. This partnership aims to improve the scalability and performance of its platform, allowing for better service delivery to clients. Such initiatives highlight Smartsheet 's commitment to staying at the forefront of technology. For freshers in technology, Smartsheet offers a robust career launchpad. With opportunities to work on cutting-edge technologies like AI/ML operations and platforms such as Databricks and Kubernetes , new employees can gain invaluable hands-on experience. This environment fosters growth and equips individuals with the skills necessary for a successful career in the tech industry. Company Details Industry Technology Location Bangalore, Karnataka, India Connect With Us Careers Apply Now Website 🔗 job-boards.greenhouse.io Frequently Asked Questions Interview · Role · Salary · Growth ? Who can apply for Senior AI/ML Operations, Python Engineer at Smartsheet? Eligibility Tap to expand + Answer Candidates with BE/BTech/BCA/MCA or equivalent and 0-2 years experience are eligible. Eligible batches: 2022, 2023, 2024, 2025. ? What skills are most important for this role? Skills Tap to expand + Answer Key skills: Python, Databricks, Kubernetes, MLflow, AWS. Strong fundamentals and practical project experience matter most. ? What is the salary for this position? Salary Tap to expand + Answer Compensation: ₹25–40 LPA. Final offer depends on skills, experience, and interview performance. ? What is the interview process at Smartsheet? Interview Tap to expand + Answer Typically: Resume shortlisting → Online test → Technical interview(s) → HR round. ? Is this role remote, hybrid, or onsite? Work Mode Tap to expand + Answer Work mode varies by team. Confirm with HR during recruitment. ? What is the career growth path from this role? Growth Tap to expand + Answer Structured appraisals every 6–12 months. Senior roles accessible within 12–18 months based on performance. ? How do I apply? Application Tap to expand + Answer Apply via the official link in How to Apply section. Highlight: Python, Databricks, Kubernetes, MLflow, AWS. ? Is there a probation period? Probation Tap to expand + Answer Standard 3–6 months probation. Confirmation follows successful completion. ? How to prepare for the Senior AI/ML Operations, Python Engineer interview? Preparation Tap to expand + Answer (1) Core concepts of Python, Databricks, Kubernetes, MLflow, AWS, (2) 2–3 project walkthroughs, (3) Problem-solving, (4) Smartsheet research, (5) Clear communication. ? What is the work culture like at Smartsheet? Culture Tap to expand + Answer Research on LinkedIn and Glassdoor for authentic employee reviews. NexisGrow.com features only verified employers. 🔗 Explore More on NexisGrow More jobs in Bangalore Browse all Tech jobs More jobs at Smartsheet Work From Home jobs Ready to Apply? Don't Miss This Opportunity! 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