Principal Software Engineer, ML Platform at DAT

DAT · Bangalore, Karnataka, India

📋 Job Details at a Glance 📍 Location Bangalore, Karnataka, India 🏢 Company DAT 👥 Experience 2+ years 🎓 Qualification Any Graduate 📅 Eligible Batch 2023, 2024, 2025, 2026 📄 Job Type Full Time 💰 Salary Not Disclosed 🏢 Industry Technology 🛠 Key Skills Python Go TypeScript Node.js gRPC Kubernetes Kafka Snowflake Terraform CI/CD Principal Software Engineer, ML Platform at DAT — Full Details & How to Apply DAT is seeking a Principal Software Engineer for its ML Platform in Bangalore, Karnataka, India , where you'll directly influence cutting-edge machine learning solutions. This role is pivotal as the demand for machine learning platforms continues to surge, making it a critical position for DAT 's growth trajectory. The role of Principal Software Engineer , ML Platform is increasingly vital in the technology sector, particularly as companies pivot towards data-driven decision-making. With the rise of machine learning applications, professionals in this field are essential for developing scalable and efficient solutions that enhance user experiences across various industries. What sets DAT apart as an employer is its rapid expansion since its founding in 2015 , now boasting over 1,000 employees . Recognized for its innovative machine learning solutions, DAT fosters a culture of creativity and collaboration, making it an ideal environment for aspiring engineers to thrive. We encourage 2023, 2024, 2025, 2026 graduates and Any Graduate with 2+ years experience to apply. The salary for this position is Not Disclosed , but the opportunity for growth and learning is significant. In this role, you will work with a diverse tech stack, including Python , Go , TypeScript , Node.js , and Kubernetes . This exposure not only enhances your technical skills but also opens doors to advanced career opportunities in fields like DevOps and MLOps, setting a strong foundation for your future. 📊 Role Difficulty: Medium | Competition Level: High | 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 Principal Software Engineer, ML Platform at DAT is responsible for designing and implementing robust machine learning solutions that drive business objectives and enhance user experiences. Design and implement scalable ML solutions using Python and Go , ensuring high performance and reliability across various applications. Utilize Kubernetes for container orchestration, managing and deploying applications efficiently to maintain system reliability. Collaborate with data engineering and product teams to align ML initiatives with business objectives, leveraging Kafka for data streaming. Analyze system performance metrics to optimize data processing workflows, enhancing user experience through effective use of SQL . Take ownership of project timelines and deliverables, ensuring alignment with strategic goals while utilizing Terraform for infrastructure management. Document technical specifications and processes to facilitate knowledge sharing across teams, using dbt for data transformation documentation. Engage with clients to understand their needs and troubleshoot issues related to ML deployments, applying gRPC for efficient communication. At DAT , we foster an ownership culture where your contributions directly impact our ML platform's success and innovation. Required Skills & Technical Competencies The ideal candidate for the Principal Software Engineer, ML Platform role must possess a strong technical skill set to effectively contribute to our ML initiatives. Technical Skills Python — advanced — essential for developing machine learning algorithms and data processing tasks, expected proficiency in writing efficient code. Go — advanced — used for building scalable backend services, crucial for the performance of the ML platform. Kubernetes — intermediate — daily management of containerized applications, vital for maintaining system reliability. SQL — intermediate — necessary for querying and managing databases, particularly PostgreSQL , to support data-driven decisions. Terraform — intermediate — used for infrastructure as code, essential for automating cloud resource management. CI/CD — intermediate — implemented to streamline deployment processes and ensure continuous integration of ML solutions. dbt — intermediate — utilized for transforming and documenting data workflows, enhancing data quality and accessibility. When showcasing these technical skills in your resume or interview, emphasize specific projects and outcomes that demonstrate your proficiency and impact. Eligibility Criteria This role is designed for graduates who are eager to contribute to innovative ML solutions and possess relevant technical skills. Any graduate is eligible, as diverse educational backgrounds can contribute to innovative problem-solving in tech. Batches from 2023 to 2026 are encouraged to apply, providing fresh perspectives and new ideas. While 2+ years of experience is preferred, motivated freshers with relevant skills may also be considered. A minimum CGPA of 7.0 is recommended to demonstrate academic proficiency. Candidates with a GitHub portfolio showcasing relevant projects will have a competitive edge. Documentation & Portfolio Requirements Ensure your resume is clear and concise, highlighting relevant projects and technical skills. Include links to your GitHub portfolio for a comprehensive view of your work. Pro tip: Tailor your application to highlight specific experiences with Kubernetes and Python , as these are critical for this role. Salary for Principal Software Engineer, ML Platform at DAT 💰 Compensation Not Disclosed The advertised compensation for the Principal Software Engineer, ML Platform role at DAT 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 Principal Software Engineer, ML Platform Upskilling with the right resources significantly enhances your chances of selection for the Principal Software Engineer, ML Platform role at DAT . Recommended Courses & Resources Python — Mastering Python is crucial for developing machine learning applications. Go — Proficiency in Go is essential for building scalable systems in this role. TypeScript — Understanding TypeScript aids in developing robust applications with better type safety. Node.js — Node.js is vital for backend development and real-time applications. KodNest — This course enhances your coding skills, crucial for software engineering roles. Boost your profile with relevant certifications at NexisGrow GetCertified — strengthen your application before you apply. Common Mistakes to Avoid ❌ Failing to tailor your resume to the specific skills listed in the job description — fix by aligning your experiences with required skills. ❌ Neglecting to showcase relevant projects or internships — include specific examples of your work. ❌ Using a one-size-fits-all resume — customize your resume for each application. ❌ Overlooking the importance of soft skills — highlight teamwork and communication abilities. ❌ Ignoring the application deadline — ensure timely submission to avoid missing out. ❌ Not preparing for technical interviews — practice coding challenges and system design questions. Before You Apply — Checklist ✅ Research DAT 's recent projects and technologies before applying. ✅ Update your resume to reflect relevant skills and experiences. ✅ Prepare a cover letter that highlights your interest in machine learning. ✅ Ensure your LinkedIn profile is up-to-date and aligns with your resume. ✅ Gather references who can speak to your technical abilities. ✅ Review the job description thoroughly to tailor your application. ✅ Practice common interview questions related to software engineering. ✅ Set reminders for application deadlines and follow-up dates. Resume Tailoring & ATS Keywords for Principal Software Engineer, ML Platform Optimizing your resume for ATS is crucial for standing out in the application process for the Principal Software Engineer, ML Platform role at DAT . ATS Keywords to Include Principal Software Engineer Machine Learning Python Go Kubernetes Terraform SQL DevOps MLOps Cloud Infrastructure Kafka PostgreSQL Resume Tips for This Role Highlight relevant projects that demonstrate your proficiency in Python and Go . Emphasize collaborative experiences, especially in cross-functional teams. Include links to your GitHub or portfolio showcasing your coding skills. Optimize your resume for ATS by including specific keywords from the job description. Avoid generic statements; focus on quantifiable achievements and relevant skills. Build an ATS-optimized resume for this role using NexisGrow Resume Builder — free for all job seekers. Pro tip: Avoid including irrelevant work experience or outdated skills in your resume for this role. How to Apply for Principal Software Engineer, ML Platform at DAT Apply Now — DAT Visit the application portal and create an account to start your application. Upload your resume in PDF format, ensuring it is tailored to the job description. Fill out the application form accurately, highlighting your relevant experiences. After submission, expect a confirmation email regarding your application status. Use the application portal to track your application progress and updates. Applications reviewed on a rolling basis — early submission recommended. Apply Now — DAT NexisGrow.com does not charge any fees for job applications. DAT Founded in 2015 , DAT has rapidly expanded to over 1,000 employees , with its headquarters located in Bangalore, Karnataka, India . The company has established a significant global presence, extending its operations across North America and Europe , showcasing its commitment to providing innovative technology solutions worldwide. DAT specializes in cutting-edge machine learning platforms and robust data infrastructure. Its flagship products include advanced solutions that empower businesses to leverage data effectively, utilizing technologies such as Kubernetes , Kafka , and Snowflake . These platforms are designed to enhance data processing and analytics capabilities for diverse industries. The company culture at DAT is characterized by collaboration and a focus on employee development. With a commendable 4.5-star rating on Glassdoor, DAT has been recognized for its supportive work environment and various employee programs that foster continuous learning and professional growth. Recently, DAT secured a substantial $50 million funding round aimed at enhancing its machine learning capabilities. This investment reflects strong market confidence in the company’s vision and its potential for future growth, positioning DAT as a leader in the technology sector. For freshers in technology, DAT offers a unique career launchpad. The opportunity to work with leading technologies such as Terraform and dbt allows new employees to gain invaluable experience in the tech industry, while the company’s emphasis on innovation and employee growth ensures a supportive environment for career advancement. Company Details Industry Technology Location Bangalore, Karnataka, India Connect With Us Careers Apply Now Website 🔗 careers.dat.com Frequently Asked Questions Interview · Role · Salary · Growth ? Who can apply for Principal Software Engineer, ML Platform at DAT? Eligibility Tap to expand + Answer Candidates with Any Graduate and 2+ years experience are eligible. Eligible batches: 2023, 2024, 2025, 2026. ? What skills are most important for this role? Skills Tap to expand + Answer Key skills: Python, Go, TypeScript, Node.js, gRPC. Strong fundamentals and practical project experience matter most. ? What is the salary for this position? Salary Tap to expand + Answer Compensation: Not Disclosed. Final offer depends on skills, experience, and interview performance. ? What is the interview process at DAT? 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, Go, TypeScript, Node.js, gRPC. ? Is there a probation period? Probation Tap to expand + Answer Standard 3–6 months probation. Confirmation follows successful completion. ? How to prepare for the Principal Software Engineer, ML Platform interview? Preparation Tap to expand + Answer (1) Core concepts of Python, Go, TypeScript, Node.js, gRPC, (2) 2–3 project walkthroughs, (3) Problem-solving, (4) DAT research, (5) Clear communication. ? What is the work culture like at DAT? 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 Latest Fresher jobs More jobs at DAT 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