Senior Machine Learning Engineer

hace 3 semanas

México Nucleus Health A tiempo completo

**Responsibilities**:

- 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

**Job Type**: Contract
Contract length: 6 months

**Salary**: $648.00 - $733.00 per hour

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