Senior ML/AI Software Engineer - REMOTE – 1714


Location: Remote in the US
Employment Type: Full-time employment
Salary: $100K-$145K
Visa restrictions: ***CANDIDATE MUST BE US Citizen or Green Card holder (due to contractual/access requirements) ***


Our client is looking for an experienced Machine Learning Engineer to work on their AI Platforms and Services team. In this role, you will apply your expertise in machine learning algorithms, software engineering, and data infrastructure to build intelligent systems that can learn and make predictions or decisions based on data.
 

REQUIRED EXPERIENCE

• 5 years proficiency in design and analysis of algorithms, data structures, and design patterns in the building and deploying of scalable; highly available systems.
• 5 years in at least one modern programming languages (Java, Python, JavaScript, ACE, IIB/ITX, Informatica preferred), and experience with at least two of the following: React, Angular v4+, NodeJS, NoSQL databases, HTML5, CSS, Google Cloud Platform or Amazon Web Services.
• 3+ years experience working with agile methodology of scrum.
• 5+ years of understanding of web services technologies such as REST, HTTPS, JSON.
• 5+ years in defining system architectures and exploring technical feasibility trade-offs for optimizing short term execution while planning for long term technical capabilities.
• 5+ years of translating design mockups, prototypes and user stories into working applications.
• 5+ years with one or more general purpose programming languages including but not limited to: Java, Python (Django/Flask), C/C++, C#, Objective C, JavaScript, or Go.
• At least 1 year of working with Machine Learning esp. in Natural Language Understanding, Machine Translation, Deep Neural Networks and related fields.
• Required: Bachelor's Degree in Computer Science, Computer Engineering or a closely related field.
• Preferred: Master's degree in computer science, Computer Engineering or a related field.

Desired

• 5+ years of ability to produce code that is fault-tolerant, efficient, and maintainable.
• 3+ years of experience in developing and deploying enterprise-scale machine learning solutions in a software engineering-adjacent field.
• Proficiency in deploying machine learning algorithms as production ready API services.
• Experience developing and debugging in Python for AI/ML services using frameworks like Flask, FastAPI, Kserve, BentoML, etc.
• Exposure to architectural patterns of large-scale software applications.

Responsibilities:

• Designing, developing, and deploying machine learning models as services in software systems to meet business goals and support experimentation.
• As an agile software engineer, you'll build scalable AI/ML-based products and reusable back-end APIs.
• Be involved in every aspect of the ML application build process from idea generation and business analysis to technical design, software development, and deployment using the latest technologies and design patterns.
• Design and develop scalable solutions that leverage machine learning and deep learning models to meet enterprise requirements.
• Design and create engineering specifications for software applications and programs. Design & write code that adheres to coding standards. Performs code reviews.
• Translate machine learning algorithms into production-level code.
• Monitor work against production schedule and provide progress updates and report any issues or technical difficulties to lead developers on a regular basis.
• Work with development teams to test and deploy machine learning models.
• Monitor the performance of deployed models, tracking data or concept drift, and updating or retraining models as needed.
• Ensure adherence to performance standards and compliance with data security requirements.
• Understand and translate business and functional needs into machine learning problem statements.
• Translate complex machine learning problem statements into specific deliverables and requirements.
• Responsible for idea generation, exploring and implementing appropriate technical solutions to achieve the required product features, as well as monitoring technical process against project plan while safeguarding functionality, scalability and performance.
• Mentor other associate and intermediate software engineers as needed.