Senior Machine Learning Engineer

• Mentor and coach other junior developers on industry's best practices
• Interact with the leadership while working with product teams and other engineering teams
• Guide and develop people in the fields of architecture in general and AI and ML
• Showcase an ability to manage engineering initiatives and produce results rather than just activities
• Work together with Product and Design to create individualized learning experiences that are of the highest caliber
• Don't just write code; actively contribute to the discussion on how to create the systems and solutions that are important to our clients
• Help with defining requirements, developing software designs, writing code to execute these requirements, and providing support for products when they are deployed and being utilized by our clients
• Work with data scientists, software engineers, and product managers to create, design, and deploy production-ready machine learning solutions for both external and internal users
• Create ML processes and end-to-end pipelines for data preparation, training, deployment, monitoring, and other tasks, and make sure the ML systems and data infrastructure have high-quality architecture and design
• To give our consumers the best experience possible, create real-time decision-making frameworks and data-driven feedback loops
• Implement consumer-facing solutions that address the demands of the customer
• Take charge of the large-scale services that drive our expanding learning platform
• Create software that is scalable and capable of seamless recovery
• To deploy in AWS, use CI/CD with the appropriate logging, monitoring, and alerting
• Become a mentor, a thought leader, and a champion of best practices
• Work in close collaboration with data science and product teams
• Lead an engineering team that is diverse, inclusive, and committed to consistently delighting customers

Job Requirements:

• Bachelor s/Master s degree in Engineering, Computer Science (or equivalent experience)
• At least 6+ years of relevant experience as a Machine Learning Engineer
• 5+ years of experience with the entire software development life cycle, including coding guidelines, code reviews, source control management, build procedures, testing, and operations knowledge
• 5+ years of experience directing design or architecture of new and existing systems (design patterns, reliability, and scaling)
• Extensive knowledge of the AWS platform (including SageMaker, Redshift, EMR, Glue, Step Functions, Lambda, Batch, etc.) and Apache Spark
• Prior experience leading an engineering team, serving as a tech lead, or mentoring
• Familiarity with OO design, algorithms, and data structures
• Ability to pick up new languages and technologies rapidly when needed
• Strong preference for deep learning expertise in the areas of reinforcement learning and NLU libraries and methodologies
• Programming expertise in functional, object-oriented, design patterns, Big O, data structures, and other areas
• Thorough understanding of service-oriented architecture, including contextual boundaries and service-to-service communication
• Demonstrable experience working with machine learning systems, including batch and real-time systems
• In-depth knowledge of configuration tools like Terraform and AWS Cloud Formation
• Extensive knowledge of data security elements like secure coding, data classification and protection, and PCI/HIPAA/GDPR
• Prior experience working with Golang to architect, build, and document at-scale web apps
• Extensive experience using AWS infrastructure, such as EC2, ECS, EKS, Lambda, Batch, CloudWatch, Kinesis, etc.
• Strong desire to learn and expand your knowledge of ML, AI, and NLU
• Nice to have some experience with Ruby on Rails, Java, Scala, and C++
• Prior experience with deployment systems like CodeShip and AWS CodeDeploy is preferred
• Some experience deploying e-commerce solutions is desirable
• Must be a capable business owner that is eager to put in the work and has a growth attitude
• Prior domain experience in NLU is nice to have
• Fluent in English communication, both spoken and written