📋 Job Details at a Glance 📍 Location Hyderabad, Telangana, India 🏢 Company Protolabs 👥 Experience 3-5 years 🎓 Qualification Any Graduate 📅 Eligible Batch 2023, 2024, 2025, 2026 📄 Job Type Full Time 💰 Salary ₹18–₹35 LPA 🏢 Industry Technology 🛠 Key Skills Python PyTorch TensorFlow scikit-learn AWS Weights & Biases Prefect Karpenter Senior Machine Learning Engineer at Protolabs — Full Details & How to Apply Protolabs is seeking a Senior Machine Learning Engineer in Hyderabad, Telangana, India , where you can leverage cutting-edge tools like TensorFlow and AWS to impact intelligent pricing models. This role is pivotal for those looking to make a mark in the evolving field of machine learning. The demand for Senior Machine Learning Engineer jobs is surging in India, as companies increasingly rely on AI-driven solutions for pricing and operational efficiency. Protolabs , with its focus on rapid prototyping and manufacturing solutions, is at the forefront of this trend, making this position crucial for driving innovative pricing strategies that enhance customer satisfaction and revenue. What sets Protolabs apart is its global presence, boasting over 1,500 employees and a commitment to leveraging advanced technologies. Founded in 1999 , the company fosters a culture of innovation and collaboration, making it an ideal environment for a Senior Machine Learning Engineer to thrive and contribute to impactful projects. We encourage 2023, 2024, 2025, 2026 graduates and Any Graduate with 3-5 years experience to apply. This position offers a competitive salary ranging from ₹18–₹35 LPA , making it an attractive option for both freshers and experienced professionals. In this role, you will work with industry-leading tools such as Python , PyTorch , TensorFlow , scikit-learn , AWS , Weights & Biases , Prefect , and Karpenter . Gaining hands-on experience with these technologies will not only enhance your skill set but also open doors to advanced career opportunities in the tech 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 Machine Learning Engineer at Protolabs is to develop advanced machine learning models that enhance intelligent pricing and optimize quotation processes through innovative technologies. Build and enhance machine-learning models for intelligent pricing using Python and TensorFlow to optimize quotation processes and improve operational efficiency. Design scalable ML training and inference pipelines on AWS , ensuring efficient resource utilization and high-performance metrics. Collaborate with cross-functional teams, including data scientists and product managers, to align machine learning initiatives with business objectives and project timelines. Conduct A/B tests and backtesting to validate model performance, aiming for a minimum accuracy improvement of 10% over existing models. Take ownership of model monitoring, implementing strategies to detect drift and degradation in production environments using Weights & Biases . Document workflows and model performance metrics, ensuring clear communication with stakeholders and compliance with best practices in MLOps . Engage with clients to understand their needs, providing tailored machine learning solutions that enhance their operational efficiency and effectiveness. This role emphasizes ownership and direct impact, allowing you to significantly influence the success of machine learning initiatives at Protolabs . Required Skills & Technical Competencies The ideal candidate must possess a robust skill profile, focusing on technical competencies essential for developing and deploying machine learning solutions. Technical Skills Python — advanced — essential for developing and deploying machine learning models, requiring proficiency in libraries like scikit-learn and TensorFlow . PyTorch — intermediate — used for building deep learning models, particularly in experimental setups and research-oriented tasks. AWS — advanced — crucial for designing and managing scalable cloud-based ML pipelines, with hands-on experience expected. Weights & Biases — intermediate — utilized for experiment tracking and model versioning, enhancing collaboration and reproducibility. MLOps — intermediate — knowledge of MLOps practices is necessary for ensuring smooth transitions from development to production environments. 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 strong technical skills and practical experience in machine learning, regardless of their specific degree. Any graduate is eligible, focusing on technical skills and practical experience rather than specific degrees. Candidates from the 2023 , 2024 , 2025 , and 2026 batches are encouraged to apply, aligning with Protolabs ' focus on fresh talent. While 3-5 years of experience is preferred, freshers with strong foundational skills in machine learning can also be considered. A minimum academic performance of 60% is expected, reflecting a commitment to excellence in technical studies. Having a portfolio or GitHub showcasing relevant projects or internships can significantly enhance a candidate's application. Documentation & Portfolio Requirements Ensure your resume is well-structured, highlighting relevant skills and experiences. Include links to your portfolio or GitHub showcasing machine learning projects. Pro tip: Tailor your application to highlight specific projects that demonstrate your expertise in TensorFlow and AWS , as these are critical for this role. Salary for Senior Machine Learning Engineer at Protolabs 💰 Compensation ₹18–₹35 LPA The advertised compensation for the Senior Machine Learning Engineer role at Protolabs is ₹18–₹35 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 Machine Learning Engineer Upskilling with the right resources significantly enhances your chances of being selected for this specific role, as it demonstrates your commitment to mastering essential skills. Recommended Courses & Resources Python — Essential for developing machine learning models and algorithms. PyTorch — Crucial for building deep learning applications efficiently. TensorFlow — Key framework for deploying machine learning models at scale. scikit-learn — Important for implementing machine learning algorithms and data preprocessing. KodNest — Offers hands-on projects to solidify your machine learning skills. Boost your profile with relevant certifications at NexisGrow GetCertified — strengthen your application before you apply. Common Mistakes to Avoid ❌ Failing to tailor your resume — Highlight specific skills and experiences relevant to machine learning engineering. ❌ Neglecting practical applications — Showcase tools like TensorFlow or AWS in your projects. ❌ Underestimating collaboration experience — Emphasize teamwork in your application. ❌ Submitting a generic cover letter — Address how your skills align with Protolabs ' needs. ❌ Overlooking project documentation — Document your projects and their outcomes in your resume. ❌ Not preparing for technical interviews — Practice relevant machine learning problems and concepts. Before You Apply — Checklist ✅ Research Protolabs and familiarize yourself with their products and culture before applying. ✅ Update your resume to reflect relevant skills and experiences tailored to the Senior Machine Learning Engineer role. ✅ Prepare a cover letter that specifically addresses why you are a good fit for this position. ✅ Gather any necessary documents, such as transcripts or certificates, to support your application. ✅ Ensure your portfolio or GitHub is up-to-date with your latest projects and contributions. ✅ Double-check the application portal for any specific requirements or instructions. ✅ Set a reminder to follow up on your application status after submission. ✅ Prepare for potential interviews by reviewing common machine learning concepts and tools. Resume Tailoring & ATS Keywords for Senior Machine Learning Engineer Optimizing your resume for ATS is crucial for ensuring it gets noticed for this role, as many companies use automated systems to filter applications. ATS Keywords to Include Machine Learning Python TensorFlow AWS MLOps Deep Learning Feature Engineering Model Monitoring Experiment Design Probabilistic Modelling Scikit-learn Weights & Biases Resume Tips for This Role Highlight specific machine learning projects that demonstrate your proficiency in Python and TensorFlow . Emphasize collaborative experiences, particularly in cross-functional teams, to align with Protolabs ' work culture. Include links to your portfolio or GitHub showcasing relevant projects, especially those using AWS or MLOps . Optimize your resume for ATS by including relevant keywords from the job description. Avoid including unrelated work experience that does not showcase your technical skills or relevant projects. Build an ATS-optimized resume for this role using NexisGrow Resume Builder — free for all job seekers. Pro tip: Avoid including generic skills or experiences that do not directly relate to machine learning engineering. How to Apply for Senior Machine Learning Engineer at Protolabs Apply Now — Protolabs Visit the Protolabs application portal and create an account. Upload your resume, ensuring it highlights relevant skills and experiences. Fill out the application form accurately, providing all required information. After submission, expect a confirmation email and details on the next steps. Track your application status through the portal for updates. Applications reviewed on a rolling basis — early submission recommended. Apply Now — Protolabs NexisGrow.com does not charge any fees for job applications. Protolabs Protolabs was founded in 1999 and has grown to become a leader in rapid prototyping, with its headquarters located in Maple Plain, Minnesota . The company operates significant facilities in Hyderabad, Telangana, India , employing over 1,500 professionals globally. With a focus on innovation, Protolabs serves clients across various industries, including aerospace, automotive, and medical. Protolabs specializes in digital manufacturing services such as CNC machining , injection molding , and 3D printing . These services enable rapid product development, allowing clients to bring their ideas to market faster. The company’s advanced manufacturing technologies cater to both small and large-scale production needs, enhancing efficiency and reducing lead times. The culture at Protolabs is recognized for its innovation and employee engagement, reflected in its Glassdoor rating of 4.5 . The company promotes a collaborative work environment, offering programs that support professional growth and development. Employees benefit from mentorship opportunities and initiatives that foster creativity and teamwork. Recently, Protolabs has expanded its capabilities in artificial intelligence and machine learning, showcasing its commitment to technological advancement. This includes investments in tools like Weights & Biases and Prefect to enhance data-driven decision-making. Such initiatives position Protolabs at the forefront of the digital manufacturing industry. For freshers in technology, Protolabs offers a robust career launchpad. With access to cutting-edge technologies and mentorship from industry veterans, new employees can develop essential skills in areas such as Python and TensorFlow . This environment fosters growth and prepares individuals for long-term success in the tech industry. Company Details Industry Technology Location Hyderabad, Telangana, India Connect With Us Careers Apply Now Website 🔗 jobs.lever.co Frequently Asked Questions Interview · Role · Salary · Growth ? Who can apply for Senior Machine Learning Engineer at Protolabs? 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, PyTorch, TensorFlow, scikit-learn, AWS. Strong fundamentals and practical project experience matter most. ? What is the salary for this position? Salary Tap to expand + Answer Compensation: ₹18–₹35 LPA. Final offer depends on skills, experience, and interview performance. ? What is the interview process at Protolabs? 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, PyTorch, TensorFlow, scikit-learn, 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 Machine Learning Engineer interview? Preparation Tap to expand + Answer (1) Core concepts of Python, PyTorch, TensorFlow, scikit-learn, AWS, (2) 2–3 project walkthroughs, (3) Problem-solving, (4) Protolabs research, (5) Clear communication. ? What is the work culture like at Protolabs? 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 Hyderabad Browse all Tech jobs Latest Fresher jobs More jobs at Protolabs Work From Home jobs Ready to Apply? 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