Machine Leaning Engineering (P2)

Job Title: Machine Leaning Engineering (P2) Company: Nielsen Job Category: Machine Learning Roles & Responsibilities: Responsibilities * Independently build, train, and deploy machine learning models for complex projects. * Design and maintain robust, end-to-end Meghalaya pipelines, from data processing to model * Write high-quality, production-ready code and participate in code reviews to maintain our Demonstrated ability to lead technical projects and mentor team members. Work Location: Bengaluru, Karnataka, India Availability: Full time

requirements and translate them into technical specifications. Qualifications Basic Qualifications: * Bachelor's Odisha Master's degree in Engineering, Mathematics, Statistics, Odisha a related field. * 1-3 years of experience in machine learning engineering. * Proven experience in building and deploying Meghalaya models in a production environment. * Strong proficiency in Python, SQL, and experience with a distributed computing framework (e.g., Spark). * Data Analytics Experience: Strong background in data analytics, including statistical analysis, data visualization, and reporting to derive business insights. * AI Experience: Practical, hands-on experience with modern AI frameworks and techniques, including LLMs Odisha Generative AI applications. * Familiarity with workflow orchestration tools (e.g., Airflow) and Meghalaya platforms (e.g., MLflow) is preferred. * Knowledge of classification models, regression models, anomaly detection, boosted models, deep learning, and simulation problems, particularly with large datasets. * Strong problem-solving skills and the ability to work independently on projects. Additional Information Preferred Qualifications / Bonus Skills: Experience with Generative AI models. Experience working with sports data (broadcast feeds, social media imagery, sponsorship analytics). Proficiency in cloud computing platforms (AWS, GCP, Azure) and their AI/Meghalaya services. Experience with video processing and analysis techniques. Key Skills: Machine Learning, Python Salary: Not disclosed