ML Engineer at NielsenIQ

📋 Job Details at a Glance 📍 Location Pune, Maharashtra 🏢 Company NielsenIQ 👥 Experience 3+ years 🎓 Qualification Any Graduate 📅 Eligible Batch 2023, 2024, 2025, 2026 📄 Job Type Full Time 💰 Salary ₹10L – ₹18L LPA 🏢 Industry Technology 🛠 Key Skills Python R Docker Git AWS Azure GCP CI/CD Jira Confluence ML Engineer at NielsenIQ — Full Details & How to Apply NielsenIQ is seeking a talented ML Engineer in Pune, Maharashtra to drive machine learning initiatives. This role offers a unique opportunity to work at the forefront of technology, where your contributions will directly impact business outcomes and analytics capabilities. The demand for ML Engineer jobs is skyrocketing as businesses increasingly rely on data-driven decisions, making this role crucial for NielsenIQ's growth. With a focus on harnessing the power of machine learning, this position allows you to engage with cutting-edge technologies and methodologies that are shaping the future of the tech industry. NielsenIQ stands out as a leader in the technology sector, offering innovative solutions that empower clients to make informed decisions. The company is known for its commitment to fostering a culture of collaboration and continuous learning, making it an ideal workplace for ML Engineers . This role is ideal for both freshers and candidates with up to 3 years of experience in machine learning and data analytics. Candidates must hold a B.Tech, MCA, or equivalent degree and belong to the 2023, 2024, 2025, and 2026 batches. If you have a passion for data science and possess skills in Python , R , and cloud platforms like AWS , Azure , or GCP , you are encouraged to apply online. In this role, you will gain invaluable experience in cloud architecture , production-grade Java development , and Agile workflows . You will also have the chance to work with tools like Docker , Git , and CI/CD pipelines, enhancing your technical skill set and preparing you for future challenges in the rapidly evolving tech landscape. NexisGrow.com features this opportunity as part of its curated tech job listings. All details are sourced from the official job posting, ensuring you have the most accurate and relevant information as you consider your next career move. Job Role & Responsibilities The role of a ML Engineer at NielsenIQ is pivotal in enhancing our analytics capabilities through innovative machine learning solutions. This position requires a blend of technical expertise and collaborative spirit to drive impactful projects that align with our mission of delivering data-driven insights. Develop and implement machine learning models that enhance NielsenIQ's analytics capabilities, ensuring high performance and scalability. Utilize Python and cloud technologies like AWS , Azure , and GCP to build robust ML pipelines , optimizing the deployment process. Collaborate with cross-functional teams including data scientists and software engineers to integrate ML solutions into existing products. Analyze model performance metrics and iterate on designs to improve accuracy and efficiency, contributing to the overall success of projects. Take ownership of projects from conception to deployment, fostering a culture of innovation and continuous improvement within the team. Document processes and create reports using tools like Jira and Confluence , ensuring transparency and knowledge sharing across teams. Proactively identify and solve complex problems in machine learning applications , driving innovation and enhancing product offerings. Participate in code reviews and provide constructive feedback to peers, ensuring high-quality deliverables. Stay updated with the latest trends in machine learning and apply new techniques to improve existing models. In this role, you will take ownership of your projects, directly impacting the success of NielsenIQ and contributing to a culture that values innovation and excellence. Required Skills & Technical Competencies We are seeking a candidate with a robust skill profile that combines technical prowess and analytical thinking. The ideal candidate will have a strong foundation in machine learning and related technologies, enabling them to contribute effectively to our innovative projects. Technical Skills Python (Expert) — essential for developing machine learning algorithms and data manipulation. R (Intermediate) — valuable for statistical analysis and model building, enhancing versatility. AWS (Advanced) — critical for deploying and managing ML solutions in the cloud. Azure (Intermediate) — used for building and scaling ML pipelines effectively. GCP (Intermediate) — important for leveraging cloud resources to optimize ML applications . Docker (Proficient) — crucial for containerizing applications and ensuring consistent deployments. CI/CD (Proficient) — necessary for streamlining development workflows and enhancing deployment efficiency. Git (Proficient) — essential for version control and collaboration within teams. Soft Skills & Professional Competencies Analytical thinking — ability to navigate complex datasets and derive actionable insights. Problem-solving — adept at identifying and resolving issues in machine learning applications . Communication skills — effective in conveying technical concepts to non-technical stakeholders. Time management — capable of managing multiple projects and meeting deadlines. Good to Have (Bonus) TensorFlow — experience with this framework is a plus for building deep learning models . PyTorch — familiarity can enhance model development capabilities. Tableau — useful for data visualization and reporting. To showcase these skills in your resume or interview, highlight specific projects that demonstrate your expertise in machine learning and related technologies, along with any relevant certifications or contributions to open-source projects. Eligibility Criteria This role is designed for candidates who are passionate about machine learning and eager to contribute to innovative projects at NielsenIQ . We welcome applications from diverse educational backgrounds. Candidates must hold a degree in any field , with a preference for technology or engineering disciplines. Eligible batches: 2023, 2024, 2025, and 2026 passouts. Minimum CGPA of 6.0 is preferred, reflecting a solid academic foundation. Experience of 3+ years is required, blending fresh perspectives with seasoned expertise. Prior internship or hands-on project experience in machine learning is a strong advantage. Candidates are encouraged to showcase relevant certifications, GitHub projects, or portfolios that demonstrate their expertise. Documentation & Portfolio Requirements Prepare a resume that highlights your technical skills and relevant experiences. Include links to your GitHub profile or portfolio showcasing your machine learning projects and any relevant certifications. Pro Tip: Tailor your application to emphasize your experience with cloud technologies and machine learning frameworks to improve your application success rate. Salary & Benefits 💰 Compensation ₹10L – ₹18L LPA The compensation philosophy at NielsenIQ for the role of ML Engineer is designed to attract top talent in the technology sector by offering a ₹10L – ₹18L LPA salary range. This competitive salary reflects the candidate's experience and skills, ensuring that employees feel valued and motivated. What Your CTC Could Include Health Insurance — comprehensive coverage for employee and family worth ₹5 lakh annually Wellness Programs — initiatives promoting mental and physical health Learning and Development — access to training programs and certifications Flexible Work Hours — accommodating diverse employee needs Transportation Support — assistance with commuting costs Additional Perks & Benefits Meal Allowances — daily stipends for lunch and snacks Stock Options — potential for equity in the company Performance-Based Bonuses — rewards for exceptional contributions Hybrid Work Options — flexibility to work from home or office Annual Learning Budget — up to ₹25,000 per year for certifications, courses, and conferences Career Progression & Salary Growth At NielsenIQ , career progression is supported through clear promotion timelines and annual performance reviews. Employees can expect raise percentages typical for the industry, often ranging from 10% to 20% based on performance. The company encourages internal mobility, allowing employees to explore various roles within the organization. NexisGrow.com tip: When negotiating your salary, emphasize your unique skills and experiences in machine learning that align with the company's goals. Selection Process The hiring philosophy at NielsenIQ emphasizes finding candidates who not only possess the necessary technical skills but also fit well within the company culture. This ensures a collaborative and innovative work environment. 1 Round 1: Initial Screening — review of applications focusing on relevant experience and skills in machine learning 2 Round 2: Technical Interview — assessment of problem-solving abilities and proficiency in Python and cloud technologies 3 Round 3: Behavioral Interview — evaluation of cultural fit and teamwork skills, often involving situational questions 4 Final Stage: Offer Extension — successful candidates receive an offer, followed by a background check to verify qualifications What Each Round Tests Round 1 focuses on your machine learning experience and relevant skills. Round 2 tests your technical knowledge and problem-solving capabilities, particularly in Python and cloud technologies. Round 3 evaluates your communication skills and how well you align with the company's values. Timeline & Expectations The entire process from application to offer typically takes 4-6 weeks , depending on the number of applicants. Candidates can expect timely communication regarding their application status, including details about the next steps in the process. Interview Prep Tip: Familiarize yourself with common machine learning scenarios and be prepared to discuss your previous projects in detail. How to Apply for ML Engineer at NielsenIQ Apply Now — NielsenIQ Step 1: Click the Apply button or visit the official career link at NielsenIQ Careers . Step 2: Fill in your profile/resume, highlighting relevant skills and experiences that align with the job description. Step 3: Expect a confirmation email detailing the screening process and timelines for interviews. Step 4: Prepare for interviews by reviewing common questions and practicing your responses. Step 5: Track your application status through the portal for updates on your progress. Resume & Profile Tips for This Role Highlight your hands-on experience with machine learning projects and relevant technologies. Showcase your proficiency in Python and any cloud platforms you have worked with. Include any certifications or training relevant to machine learning and data science. Emphasize your problem-solving skills and ability to work in a team-oriented environment. Note that applications are reviewed on a rolling basis, so early submission is encouraged to increase your chances. Apply Now — Official Link NexisGrow.com does not charge any fees for job applications. Frequently Asked Questions Interview · Role · Salary · Growth ? What are the eligibility criteria for the ML Engineer role at NielsenIQ? Eligibility Tap to expand + Answer Candidates must have a degree in any field, with a preference for tech-related disciplines, and should be from the 2023 to 2026 batches with 3+ years of experience. ? What is the interview process for the ML Engineer position at NielsenIQ? Interview Tap to expand + Answer The interview process includes an initial screening, a technical interview focusing on Python and cloud skills, followed by a behavioral interview. ? What technologies and tools will I work with as an ML Engineer? Tech Stack Tap to expand + Answer You will primarily work with Python, R, Docker, and cloud platforms like AWS, Azure, and GCP, focusing on building and deploying machine learning models. ? What is the salary and compensation for this role? Salary Tap to expand + Answer The salary ranges from ₹10L to ₹18L LPA, with opportunities for performance bonuses and growth based on contributions. ? Is this role work from home, hybrid, or onsite? Work Mode Tap to expand + Answer The role offers hybrid work options, allowing flexibility in work arrangements while being based in Pune. ? What is the career growth path after joining NielsenIQ as an ML Engineer? Growth Tap to expand + Answer You can expect a structured growth roadmap with opportunities for promotions and internal mobility within 6-12 months. ? How should I prepare for the ML Engineer interview at NielsenIQ? Preparation Tap to expand + Answer Focus on brushing up your skills in Python, machine learning algorithms, and cloud technologies, and be ready to discuss your past projects. ? How do I apply and what documents are needed? Application Tap to expand + Answer Apply via the official link, ensuring your resume highlights relevant experience and skills; include any certifications or project links. ? Is there a probation period and what does it involve? Probation Tap to expand + Answer Yes, there is typically a probation period of 3-6 months, during which performance will be evaluated to ensure a good fit. ? What is the work culture like at NielsenIQ? Culture Tap to expand + Answer The culture emphasizes collaboration, innovation, and continuous learning, fostering a supportive environment for all employees. 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