Machine Learning Engineer

Key Responsibilities: Design, implement, and optimize machine learning, information extraction, and probabilistic matching algorithms.Build and deploy scalable, production-ready machine learning models to address real-world business challenges.Collaborate with Data Engineers to design and prepare data models required for training and testing ML models.Work closely with ML Scientists, Data Scientists, and other engineers to solve complex technical problems.Apply state-of-the-art AI techniques including NLP, dialogue systems, recommendation systems, and information retrieval.Utilize predictive analytics and data mining to derive insights and inform business decisions.Develop large-scale, high-performance software systems with a focus on numerical computation and algorithm efficiency.Conduct research and develop innovative solutions using modern machine learning and deep learning frameworks.Mentor junior Machine Learning Engineers and contribute to their technical growth.Collaborate with product management teams to integrate AI capabilities into product features.Contribute actively to shaping the future of Phenom's AI-driven products and services in an agile, fast-paced environment.Requirements: 5+ years of industry experience in machine learning engineering or related fields.PhD, MS, or BTech in Computer Science, Information Systems, or a similar technical discipline.Strong foundation in mathematics, statistics, linear algebra, and probability.Proven experience in building, deploying, and productionizing machine learning models at scale.Proficiency in programming languages such as Python, Java, and Scala.Hands-on experience with data processing and storage frameworks such as Hadoop, Spark, and Kafka.Knowledge of NLP algorithms, information extraction, and deep learning techniques.Solid understanding of multithreaded and object-oriented software development.Strong analytical and problem-solving skills with a research-oriented mindset. .