Senior Staff Machine Learning Engineer-Platform

Job Description

Description We are seeking a highly skilled and experienced Senior Staff Machine Learning Engineer-Platform to join our team. The ideal candidate will have 10-15 years of experience in the job market context of India and possess a strong background in machine learning, data analysis, and software engineering. The successful candidate will be responsible for developing and implementing innovative machine learning algorithms and models to solve complex business problems and optimize our platform. Responsibilities Develop and implement machine learning algorithms and models to solve complex business problems and optimize our platform Collaborate with cross-functional teams to design and build scalable machine learning solutions Perform data analysis and statistical modeling to generate insights and drive decision-making Identify opportunities to enhance machine learning capabilities and drive continuous improvement Contribute to the development of platform architecture, data infrastructure, and software engineering best practices Mentor and coach junior members of the team to foster skill development and career growth Skills and Qualifications 10-15 years of experience in machine learning, data analysis, and software engineering Strong programming skills in Python, Java, and/or C++ Experience with machine learning frameworks such as TensorFlow, PyTorch, and Keras Expertise in statistical modeling and data analysis techniques Strong understanding of distributed systems and cloud computing technologies Experience with containerization and orchestration technologies such as Docker and Kubernetes Excellent problem-solving, communication, and collaboration skills Master's or PhD in Computer Science, Statistics, or related field Educational Background: Preferred qualifications include a BS, MS, or PhD in Computer Science, Machine Learning, Data Mining, Statistics, or a related technical field. Technical Knowledge: Familiarity with technologies such as Apache Airflow, Spark, Flink, Kafka/Kinesis, Snowflake, Hadoop, and Hive for data processing and analytics. Additional Skills: Experience with Python programming, model interpretability, responsible AI practices, and data analysis and visualization techniques.