Forward Deployed Application / ML Engineering Expert at SAP

📋 Job Details at a Glance 📍 Location Bangalore, Karnataka 🏢 Company SAP 👥 Experience 8+ years 🎓 Qualification Any Graduate 📅 Eligible Batch 2023, 2024, 2025, 2026 📄 Job Type Full Time 💰 Salary ₹24L – ₹42L LPA 🏢 Industry Technology 🛠 Key Skills Python Machine Learning MLOps Cloud-native microservices AI-native applications Retrieval-Augmented Generation Vector databases Autonomous systems Multi-agent frameworks Forward Deployed Application / ML Engineering Expert at SAP — Full Details & How to Apply SAP is seeking a Forward Deployed Application / ML Engineering Expert to join their team in Bangalore, Karnataka . This role offers a unique opportunity to work at the forefront of technology and innovation, directly influencing the development of cutting-edge AI-native applications that drive business transformation. In today's rapidly evolving tech landscape, the role of a Forward Deployed Application / ML Engineering Expert is crucial for driving AI and machine learning solutions that enhance business processes. With the increasing demand for cloud-native microservices and autonomous systems , professionals in this field are pivotal in shaping the future of technology. As organizations strive to integrate machine learning into their operations, your expertise will be essential in creating scalable solutions that meet real-world challenges. SAP stands out as a leader in enterprise software, providing a collaborative environment where innovative minds can thrive. With a commitment to fostering creativity and continuous learning, SAP offers its employees access to the latest tools and technologies, ensuring that you remain at the cutting edge of the industry. The company’s focus on AI-native applications and Retrieval-Augmented Generation positions it as a frontrunner in the tech sector, making it an ideal workplace for professionals eager to make a significant impact. This opportunity is ideal for both freshers and candidates with up to 8 years of experience . If you hold a B.Tech, MCA, or any graduate degree and belong to the eligible batches of 2023, 2024, 2025, and 2026 , you are encouraged to apply. Your background in Python , machine learning , and MLOps will be highly valued, as these skills are fundamental to the role. As a Forward Deployed Application / ML Engineering Expert at SAP , you will gain invaluable experience in areas such as cloud architecture , production-grade Java development , and Agile workflows . This role not only enhances your technical skill set but also provides opportunities for rapid career advancement within a globally recognized organization. You will work on innovative projects that challenge your problem-solving abilities and expand your knowledge in vector databases and multi-agent frameworks . NexisGrow.com features this opportunity as part of its curated tech job listings. All details are sourced from the official job posting. If you are ready to take your career to the next level, explore Forward Deployed Application / ML Engineering Expert jobs at SAP and apply online to join a company that values innovation and growth. Job Role & Responsibilities The role of a Forward Deployed Application / ML Engineering Expert at SAP is pivotal in driving innovation through advanced machine learning solutions. This position requires a deep understanding of both technical and business aspects to leverage SAP's extensive data resources effectively. Design and implement machine learning models that address complex business challenges, utilizing SAP's vast datasets. Utilize Python and MLOps tools to streamline the deployment and management of machine learning applications, ensuring high performance and reliability. Collaborate with cross-functional teams , including data scientists and product managers, to align technical solutions with strategic business objectives. Analyze performance metrics to optimize algorithms, enhancing the efficiency and effectiveness of AI-native applications . Take ownership of projects from conception to deployment, fostering a culture of innovation and continuous improvement within SAP . Document processes and maintain clear communication with stakeholders, ensuring alignment and transparency throughout project lifecycles. Proactively identify challenges and propose innovative solutions to enhance system capabilities and user experience. Conduct regular code reviews and provide mentorship to junior team members, promoting best practices in machine learning and software engineering. Stay updated with the latest trends in machine learning and AI , integrating new technologies and methodologies into existing frameworks. This role emphasizes an ownership culture, where the expert is expected to drive projects independently, significantly impacting the overall success of SAP and its clients. Required Skills & Technical Competencies The ideal candidate for the Forward Deployed Application / ML Engineering Expert role at SAP should possess a robust skill profile that combines technical expertise with problem-solving capabilities. This blend is essential for developing innovative solutions that meet business needs. Technical Skills Python (Expert) — essential for developing robust machine learning models and applications tailored to business needs. MLOps (Advanced) — critical for ensuring smooth deployment and operationalization of machine learning solutions. Cloud-native microservices (Proficient) — necessary for building scalable applications that leverage cloud technologies effectively. Retrieval-Augmented Generation (Familiar) — enhances the ability to implement state-of-the-art AI solutions. Vector databases (Intermediate) — important for managing and querying high-dimensional data efficiently. Autonomous systems (Basic) — understanding of systems that operate independently to solve real-world problems. Multi-agent frameworks (Familiar) — knowledge of frameworks that enable multiple agents to collaborate on tasks. Soft Skills & Professional Competencies Strong problem-solving — ability to analyze complex issues and develop effective solutions. Effective communication skills — essential for collaborating with diverse teams and presenting ideas clearly. Time management — crucial for balancing multiple projects and meeting deadlines in a fast-paced environment. Adaptability — ability to quickly learn and apply new technologies and methodologies as needed. Good to Have (Bonus) Experience with TensorFlow — familiarity with this framework can enhance model development. Knowledge of Kubernetes — beneficial for managing containerized applications in cloud environments. Familiarity with Apache Kafka — useful for handling real-time data streams. To effectively showcase these skills in a resume or interview for the Forward Deployed Application / ML Engineering Expert role at SAP , candidates should highlight relevant projects, practical experience, and any contributions to open-source initiatives. Eligibility Criteria This role is designed for experienced professionals who are passionate about machine learning and its applications in solving real-world business problems. Candidates should meet the following criteria: Candidates must hold a degree in any field , with a preference for those with a background in technology or engineering. Eligible batches include 2023, 2024, 2025, and 2026 passouts, targeting fresh graduates and those with up to 3 years of experience . Applicants should have a minimum of 8 years of relevant experience in machine learning or software engineering roles. A strong academic record is preferred, with a CGPA of 7.5 or above being advantageous. Portfolio showcasing relevant projects, GitHub contributions, or certifications in machine learning will significantly strengthen the application. Documentation & Portfolio Requirements Candidates should prepare a resume that highlights their technical skills, relevant experience, and any projects related to machine learning . A well-curated GitHub portfolio showcasing coding skills and contributions to open-source projects will be beneficial. Additionally, certifications in machine learning or related fields can enhance the application. Pro Tip: Tailor your resume to emphasize experiences that directly relate to the responsibilities of the Forward Deployed Application / ML Engineering Expert role at SAP to improve your application success rate. Salary & Benefits 💰 Compensation ₹24L – ₹42L LPA The compensation philosophy at SAP for the role of Forward Deployed Application / ML Engineering Expert is designed to attract top talent by offering a ₹24L – ₹42L LPA salary range. This reflects the expertise and experience required for this specialized position, ensuring that employees are rewarded fairly for their contributions. What Your CTC Could Include Health Insurance — comprehensive coverage for employee and family worth ₹5 lakh annually Performance-Based Bonuses — annual bonuses based on individual and company performance Retirement Benefits — contributions to Provident Fund and Employee Pension Scheme Flexible Work Hours — options for hybrid or remote work arrangements Subsidized Meals — affordable meal options available at the office Additional Perks & Benefits Annual Learning Budget — up to ₹25,000 per year for certifications, courses, and conferences Transportation Allowance — support for commuting costs Stock Options — opportunity to own a part of the company Mentorship Programs — access to experienced professionals for guidance Employee Wellness Programs — initiatives to promote physical and mental health Career Progression & Salary Growth At SAP , career progression is a priority, with regular performance evaluations conducted bi-annually. Employees can expect raises of 10-15% based on performance, with opportunities for promotions typically occurring every 1-2 years . The company supports internal mobility programs, allowing employees to explore various roles within the organization. NexisGrow.com tip: When negotiating your salary, emphasize your unique skills in machine learning and cloud technologies to justify a higher compensation package. Selection Process The hiring philosophy at SAP emphasizes a thorough and fair selection process, aimed at identifying candidates who not only possess the required technical skills but also align with the company's values and culture. 1 Round 1: Application Screening — Initial review of applications to shortlist candidates based on qualifications and experience. 2 Round 2: Technical Interview — Focus on machine learning concepts, coding skills, and problem-solving abilities. 3 Round 3: Behavioral Interview — Assessment of cultural fit and alignment with SAP 's values and mission. 4 Final Stage: Offer Presentation — Discussion of the offer and background check process to finalize candidate selection. What Each Round Tests Round 1 evaluates your qualifications and experience, while Round 2 tests your technical knowledge in machine learning and your coding abilities. Round 3 focuses on your communication skills and problem-solving capabilities, ensuring you fit well within the SAP culture. Timeline & Expectations The entire selection process typically spans 4-6 weeks from application submission to the final offer. Candidates can expect timely communication regarding their application status, with updates provided after each round. Interview Prep Tip: Familiarize yourself with SAP 's core values and be prepared to discuss how your experiences align with them during the behavioral interview. Frequently Asked Questions Interview · Role · Salary · Growth ? What are the eligibility criteria for the Forward Deployed Application / ML Engineering Expert role at SAP? Eligibility Tap to expand + Answer Candidates must have a degree in any field, with 8+ years of experience in machine learning or software engineering. Eligible batches are 2023 to 2026. ? What is the interview process for the Forward Deployed Application / ML Engineering Expert at SAP? Interview Tap to expand + Answer The interview process includes an initial screening, a technical interview focusing on machine learning, and a behavioral interview to assess cultural fit. ? What technologies and tools will I work with? Tech Stack Tap to expand + Answer You will primarily work with Python, MLOps tools, cloud-native microservices, and AI-native applications, focusing on retrieval-augmented generation and vector databases. ? What is the salary and compensation for this role? Salary Tap to expand + Answer The salary ranges from ₹24L to ₹42L LPA, with opportunities for performance bonuses and growth based on individual contributions. ? Is this role work from home, hybrid, or onsite? Work Mode Tap to expand + Answer This role is primarily onsite in Bangalore, with flexible working options available depending on project requirements. ? What is the career growth path after joining SAP as a Forward Deployed Application / ML Engineering Expert? Growth Tap to expand + Answer Expect a structured growth path with opportunities for promotions and lateral moves within the organization over the next 1-3 years. ? How should I prepare for the Forward Deployed Application / ML Engineering Expert interview at SAP? Preparation Tap to expand + Answer Focus on brushing up your machine learning concepts, coding skills in Python, and understanding of cloud-native architectures. ? How do I apply and what documents are needed? Application Tap to expand + Answer Apply through the SAP career link, ensuring your resume highlights relevant experience and skills specific to the role. ? Is there a probation period and what does it involve? Probation Tap to expand + Answer Yes, there is typically a 3-6 month probation period focusing on performance evaluation and integration into the team. ? What is the work culture like at SAP? Culture Tap to expand + Answer SAP promotes a collaborative and inclusive culture, emphasizing continuous learning, teamwork, and respect for diversity. 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