Senior Machine Learning Engineer
Required skills
Solid experience in Big Data Engineering, with working knowledge of Hadoop, Apache Spark, Python, and SQL. Proficiency in creating and managing large-scale data pipelines, handling complex, high-volume, multi-dimensional data, and machine learning models. Expertise in developing ETL processes, maintaining Spark pipelines. Expertise in Python and experience in REST APIs, container-based technologies, and implementing containerization strategies using Docker and Kubernetes. Proficient in popular technologies and cloud services, such as Kafka, Redis, Flink, AWS services, and containerized environments (Docker, K8s). Skilled in Unix/Shell or Python scripting, using scheduling tools like Airflow and Control-M, and maintaining OPS tools. Proven track record of building applications adhering to industry best practices for reliability, availability, scalability, and operability. Ability to manage component security analysis and collaborate with security teams. Strong work ethic, focus on immediate goals, and proven experience as a technical leader. Passion for mentoring juniors and helping them reach new heights. Demonstrated proficiency with programming languages, scripting languages, code quality initiatives, and operating systems. Excellent communication and interpersonal skills.
Responsibilities
You’ll be the face of the team representing us in various technical forums. You’ll help our customers achieve their business goals by understanding their requirements. You will build deep partnerships with product management to make sure that the products we are building deliver real value. You’ll analyze business requirements and architect highly secure, robust, and scalable solutions. You’ll drive internal proof of concept initiatives. When needed, quickly design and implement a prototype of a system or component with a proper architecture, and then lead or hand over to engineering team to implement. You’ll champion efforts to architect, design and implement various components of our global transaction processing systems. Your DNA will include following and creating software best practices and processes. You’ll coach and mentor your team members and help them grow professionally. You will also create an atmosphere of mutual accountability. You’ll play key role in meetings and discussions with cross-functional and non-technical teams.
Seniority
Senior Machine Learning Engineer
Domain
Machine Learning, Big Data, Cloud Computing