📋 Job Details at a Glance 📍 Location Remote — India 🏢 Company Nex 👥 Experience 3-5 years 🎓 Qualification Any Graduate 📅 Eligible Batch 2023, 2024, 2025, 2026 📄 Job Type Full Time 💰 Salary ₹25.0–₹45.0 LPA (converted market standard for mid-to-senior remote ML infrastructure roles) 🏢 Industry Technology 🛠 Key Skills Python C++ C# Java Rust Go PyTorch TensorFlow Software Engineer, ML Engineering at Nex — Full Details & How to Apply Nex is seeking a Software Engineer, ML Engineering to enhance their cutting-edge ML systems. With a salary range of ₹25.0–₹45.0 LPA , this role offers significant growth potential in a Remote — India setting. The demand for skilled ML engineers is surging as companies increasingly rely on AI-driven solutions, making this Software Engineer, ML Engineering role crucial for Nex 's innovation. As organizations pivot towards advanced machine learning applications, your contributions will directly impact the efficiency of research and development, positioning you at the forefront of technological advancement. Founded in 2020 , Nex has rapidly grown to over 500 employees and is recognized for its advanced ML infrastructure solutions. This growth reflects Nex 's commitment to fostering a collaborative and innovative culture, making it an ideal employer for aspiring engineers looking to make a mark in the tech industry. We encourage 2023, 2024, 2025, 2026 graduates and those with 3-5 years experience to apply for this role. Candidates from any academic background are welcome, as long as they possess the necessary skills. The competitive salary of ₹25.0–₹45.0 LPA aligns with market standards for mid-to-senior remote ML infrastructure roles. In this position, you will gain hands-on experience with a diverse tech stack, including Python , C++ , C# , Java , Rust , Go , PyTorch , and TensorFlow . This exposure will not only enhance your technical skills but also open doors to advanced career opportunities in machine learning and artificial intelligence. 📊 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 core mission of the Software Engineer, ML Engineering role at Nex is to design and implement robust machine learning solutions that enhance model performance and operational efficiency. Design and build ML training pipelines using Python to streamline research iterations and significantly enhance model performance. Develop scalable data workflows utilizing TensorFlow for efficient model serving and seamless integration into existing systems. Collaborate with the data science team to optimize data curation processes, improving system observability through targeted metrics. Monitor and analyze system performance metrics to ensure high reliability and efficiency in ML operations across various applications. Take ownership of transitioning research experiments into production-grade systems, ensuring robustness and scalability through rigorous testing. Document technical processes and communicate findings to cross-functional teams for continuous improvement and knowledge sharing. Engage with clients to troubleshoot issues and provide effective solutions, enhancing user satisfaction with ML products and services. Our culture emphasizes ownership, allowing you to make a direct impact on the success of our machine learning initiatives and client satisfaction. Required Skills & Technical Competencies The ideal candidate will possess a strong technical skill profile, essential for developing and maintaining high-performance machine learning systems. Technical Skills Python — advanced — essential for developing ML training pipelines that enhance model performance. C++ — intermediate — used for building high-performance data infrastructure crucial for real-time inference. PyTorch — advanced — applied daily for model training and experimentation, ensuring rapid iteration and improvement. MLOps — intermediate — knowledge of MLOps practices is necessary for maintaining operational efficiency in ML systems. TensorFlow — advanced — evaluated through practical coding assessments during the interview process for model serving and integration. 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 graduates with a strong technical foundation and relevant experience in machine learning and software engineering. Any Graduate is eligible, focusing on skills rather than specific degrees. Batches from 2023 to 2026 are encouraged to apply, providing freshers a chance to enter the tech industry. 3-5 years of experience is preferred, but freshers with strong skills may be considered. A minimum CGPA of 7.0 is preferred to ensure a solid academic foundation in relevant subjects. Having a portfolio or GitHub showcasing relevant projects can significantly enhance a candidate's application. Documentation & Portfolio Requirements Ensure your resume is clear and concise, highlighting relevant skills and experiences, and include links to your portfolio or GitHub showcasing your projects. Pro tip: Tailor your application to highlight specific projects that demonstrate your expertise in Python and TensorFlow , as these are critical for this role. Salary for Software Engineer, ML Engineering at Nex 💰 Compensation ₹25.0–₹45.0 LPA (converted market standard for mid-to-senior remote ML infrastructure roles) The advertised compensation for the Software Engineer, ML Engineering role at Nex is ₹25.0–₹45.0 LPA (converted market standard for mid-to-senior remote ML infrastructure roles) . 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 Software Engineer, ML Engineering Upskilling with the right resources significantly enhances your chances of selection for this specific role, ensuring you meet the technical requirements and stand out among candidates. Recommended Courses & Resources Python — Essential for developing machine learning algorithms and data processing. C++ — Important for performance-critical applications in ML engineering. C# — Useful for integrating ML solutions within various software environments. Java — Widely used in enterprise-level ML applications and frameworks. KodNest — Provides hands-on experience with ML projects and coding challenges. Boost your profile with relevant certifications at NexisGrow GetCertified — strengthen your application before you apply. Common Mistakes to Avoid ❌ Failing to tailor the resume to highlight relevant ML experience — customize for this role. ❌ Neglecting to showcase teamwork skills — emphasize collaborative projects. ❌ Not including links to a portfolio or GitHub — these are crucial for technical roles. ❌ Overloading the resume with irrelevant experiences — focus on quality over quantity. ❌ Ignoring the importance of keywords — ensure alignment with the job description. ❌ Submitting a generic cover letter — personalize it to reflect interest in Nex and this role. Before You Apply — Checklist ✅ Research Nex's recent projects and technologies to tailor your application. ✅ Prepare a portfolio showcasing relevant ML projects and experiences. ✅ Ensure your resume is updated with the latest skills and experiences. ✅ Customize your cover letter to reflect your interest in the specific role. ✅ Double-check application requirements and ensure all documents are included. ✅ Practice common ML interview questions to prepare for technical assessments. ✅ Set reminders for application deadlines to ensure timely submission. ✅ Follow up on your application status after submission to express continued interest. Resume Tailoring & ATS Keywords for Software Engineer, ML Engineering Optimizing your resume for ATS is crucial for this role, as it ensures your application passes initial screenings and reaches hiring managers. ATS Keywords to Include ML training pipelines data infrastructure model serving real-time inference MLOps Python TensorFlow C++ system performance observability automation data curation Resume Tips for This Role Highlight specific projects involving ML training pipelines to demonstrate relevant experience. Emphasize teamwork and collaboration skills, particularly in cross-functional projects. Include links to your portfolio or GitHub showcasing relevant coding projects. Optimize your resume for ATS by including keywords from the job description. Avoid generic statements; focus on quantifiable achievements and specific technologies used. Build an ATS-optimized resume for this role using NexisGrow Resume Builder — free for all job seekers. Pro tip: Avoid including irrelevant work experiences that do not relate to ML engineering; focus on relevant skills and projects. How to Apply for Software Engineer, ML Engineering at Nex Apply Now — Nex Visit the application portal and create an account. Upload your resume, ensuring it highlights relevant skills and experiences. Fill out the application form accurately, providing all requested information. After submission, expect an email confirmation and details on the next steps. Use the application portal to track your application status. Applications reviewed on rolling basis — early submission recommended. Apply Now — Nex NexisGrow.com does not charge any fees for job applications. Nex Nex was founded in 2020 and has rapidly grown to employ over 500 professionals across various locations. With its headquarters in India , the company has established a significant global presence, serving clients in multiple industries. This swift expansion underscores Nex's commitment to becoming a leader in the ML infrastructure sector. The core offerings of Nex include innovative ML training platforms and robust data infrastructure solutions . Utilizing advanced technologies such as PyTorch and TensorFlow , Nex caters to diverse industries, enhancing their machine learning capabilities. These products are designed to streamline processes and improve efficiency for clients worldwide. Nex fosters a culture of collaboration and innovation, reflected in its impressive 4.5-star rating on Glassdoor . The company actively promotes employee satisfaction through various programs, including mentorship initiatives and continuous learning opportunities. Such accolades highlight Nex's dedication to creating a supportive work environment. Recently, Nex secured $50 million in funding to further enhance its ML capabilities . This investment will enable the company to expand its technological offerings and accelerate the development of new solutions. Such strategic moves position Nex at the forefront of the ML infrastructure industry. For freshers in technology, Nex serves as an exceptional career launchpad. The company offers hands-on experience with real-world ML challenges and provides mentorship from seasoned professionals. This unique approach equips new talent with the skills and knowledge necessary to thrive in the competitive tech landscape. Company Details Industry Technology Location Remote — India Connect With Us Careers Apply Now Website 🔗 job-boards.greenhouse.io Frequently Asked Questions Interview · Role · Salary · Growth ? Who can apply for Software Engineer, ML Engineering at Nex? Eligibility Tap to expand + Answer Candidates with Any Graduate and 3-5 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, C++, C#, Java, Rust. Strong fundamentals and practical project experience matter most. ? What is the salary for this position? Salary Tap to expand + Answer Compensation: ₹25.0–₹45.0 LPA (converted market standard for mid-to-senior remote ML infrastructure roles). Final offer depends on skills, experience, and interview performance. ? What is the interview process at Nex? 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, C++, C#, Java, Rust. ? Is there a probation period? Probation Tap to expand + Answer Standard 3–6 months probation. Confirmation follows successful completion. ? How to prepare for the Software Engineer, ML Engineering interview? Preparation Tap to expand + Answer (1) Core concepts of Python, C++, C#, Java, Rust, (2) 2–3 project walkthroughs, (3) Problem-solving, (4) Nex research, (5) Clear communication. ? What is the work culture like at Nex? 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 Remote — India Browse all Tech jobs Latest Fresher jobs More jobs at Nex 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