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Specialist Software Engineer Al

Job ID: 6893
Business Unit: MTA Headquarters
Location: New York, NY, United States
Regular/Temporary: Regular
Department: Information & Warehouse Mgt
Date Posted: May 21, 2024


JOB TITLE:                         Specialist Software Engineer AI
SALARY RANGE:               $110,748 - $130,719
HAY POINTS:                      P5/ 451
DEPT/DIV:                          Information Technology / Products
SUPERVISOR:                   Deputy Chief Information and Warehouse Management
LOCATION:                         Various/ 2 Broadway New York, NY 10004
HOURS OF WORK:            9:00 am - 5:30 pm/7.5 hrs. or as required.
DEADLINE:                         Open Until filled        
This position is eligible for telework which is currently two days per week. New hires are eligible to apply 30 days after their effective date of hire.
About Us
The MTA transportation network has very large systems and infrastructure for financial, business, automated train, transportation, power, and physical security. The MTA IT Department is centrally responsible for providing a full range of Information and Operational Technology services to the MTA agencies and administrative units through its operating and support units. Services are provided on a 7/24/365 basis in support of the MTA organization and its ridership.
MTA IT’s Product Development group is empowered, multi-functional teams focused on the end-to-end management of development products from strategy to delivery. Using innovative processes and tools, the teams are responsible for developing and maintaining highly effective, secure, and innovative transportation, operational and back-end information systems to support MTA goals and priorities.
This role, as Software AI Engineer, is to design, implement, and maintain innovative AI solutions that solve real-world problems and drive significant business results. Leverage your expertise in machine learning, deep learning frameworks, and software development to build robust and scalable AI systems. You'll collaborate closely with engineers, data scientists, and business stakeholders to ensure your solutions meet industry best practices and positively impact the company. Contribute software development methods, tools, and techniques and apply agreed standards and tools to achieve well-engineered outcomes.
  • Collaborate with cross-functional teams to understand business needs, define requirements, and translate them into effective AI solutions.
  • Develop and maintain machine learning models, ensuring they are accurate, efficient, and scalable.
  • Design and implement AI solutions using large datasets, focusing on data security and user privacy.
  • Orchestrate the development and maintenance of CI/CD pipelines for deploying and testing AI applications.
  • Ensure governance, security, and compliance of all cloud-based AI solutions.
  • Implement best practices for AI model deployment, monitoring, and maintenance.
  • Write well-documented, clean, and maintainable code, adhering to best practices and methodologies.
  • Continuously iterate and improve upon existing models and solution design/implementation processes, incorporating feedback and lessons learned to enhance accuracy, performance, scalability, and security.
  • Stay up to date with the latest advancements in AI, machine learning, and Azure services, and apply this knowledge to improve our solutions.
  • Defines and manages scoping and requirements definition and ensures traceability to source.
  • Designs, codes, verifies, tests, documents, amends, and refactors complex programs/scripts and integration software services. Uses appropriate modeling techniques following agreed software design standards, guidelines, patterns, and methodology. Testing: Develops and executes test plans and test cases; implements scalable and reliable automated tests and frameworks.
  • Configuration Management:  Develops, configures, and maintains tools to identify, track, log, and maintain accurate, complete, and current system information; develops and maintains associated operational documentation.
  • Application Support: Maintains application support processes and uses application management software tools to investigate issues, prioritize and diagnose incidents, collect performance statistics, and create reports.
  • Project/Product Management: Defines, documents, and executes small projects or sub-projects.  May act as product owner for one or more lower-value products or services, managing elements of the product life cycle to meet customer/user needs and achieve financial or other targets.
  • Quality & Safety Assurance: Plans, organizes, and conducts quality and safety assessments, and suggests opportunities for improvement.  Contributes to identifying, analyzing, and documenting hazards and safety risks. 
  • Supplier Management: Monitors and reports on supplier performance, customer satisfaction, adherence to security requirements, and market intelligence.
  • Skills Development: Continuously develops and maintains personal knowledge of software engineering practices, emerging trends, and technologies.
  • May mentor less experienced staff
  • Performs other duties and tasks.
  • May need to work outside of normal work hours (i.e., evenings and weekends)
  • Travel may be required to other MTA locations or external sites.
  • Hands-on experience AI, ML, model development and deployment in a business setting.
  • Strong knowledge of machine learning architectures.
  • Strong programming skills in languages such as Python, and familiarity with relevant libraries (e.g., TensorFlow, NumPy, PyTorch).
  • Experience with deep learning and neural network development.
  • Strong statistical foundation, with in-depth knowledge of supervised, unsupervised, and semi-supervised machine learning models.
  • Good understanding and experience with AI services such as AI Search, Document Intelligence, NLP, and conversational AI.
  • Experience working with Generative AI models, with a deep understanding of their capabilities, prompting strategies, model performance, and inherent limitations.
  • Experience writing complex, highly optimized SQL queries.
  • Solid understanding of software engineering fundamentals. Experience with software development best practices, including version control, automated testing, and continuous integration/continuous deployment (CI/CD).
  • Experience building, configuring, and maintaining secure ML cloud infrastructure. Proficiency with Infrastructure as code technologies such as Terraform.
  • Experience with container services e.g., Kubernetes.
  • Good understanding of cloud security best practices.
  • Education: Bachelor’s Degree 
  • Experience: At least 3 years of relevant experience. An equivalent combination of education and experience may be considered instead of a degree. 
Preferred Qualifications:  
  • Certified Software Engineer or equivalent, technical certifications relevant to the specific position (and software products and toolsets used in that position), experience with System Development Life Cycle with the specific methodologies in use in the Department.
  • A software engineering industry certification, including but not limited to: Certified Software Development Professional (CSDP), Certified Secure Software Lifecycle Professional (CSSLP), Amazon Certified: AWS Certified Developer, Microsoft Certified: Azure Developer, Certified Software Test Professional (CSTP)
  • Experience administering and developing workflows and specialized UIs in Alfresco or other Document Management systems.
Preferred Technical Skills: 
  • Data Structures and Algorithms (Thorough Knowledge/Fully Proficient)
  • Database Management (Thorough Knowledge/Fully Proficient)
  • Web Development (Thorough Knowledge/Fully Proficient)
  • DevOps (Thorough Knowledge/Fully Proficient)
  • Operating Systems (Thorough Knowledge/Fully Proficient)
  • Cybersecurity, including encryption and authentication (Thorough Knowledge/Fully Proficient)
  • Cloud Computing (Thorough Knowledge/Fully Proficient)
 Soft Skills: 
  • Active Listening, Attention to Detail, Customer Service, 
  • Prioritization, Problem-Solving, Effective Verbal and Written Communication 
Building partnerships and working collaboratively with others to meet shared objectives. 
Cultivates Innovation 
Creating new and better ways for the organization to be successful. 
Customer Focus 
Building strong customer relationships and delivering customer-centric solutions. 
Values Diversity 
Recognizing the value that different perspectives and cultures bring to an organization. 
Communicates Effectively 
Developing and delivering multi-mode communications that convey a clear understanding of the unique needs of different audiences. 
Tech Savvy 
Anticipating and adopting innovations in business-building digital and technology applications. 
Under the New York State Public Officers Law & the MTA Code of Ethics, all employees who hold a policymaking position must file an Annual Statement of Financial Disclosure (FDS) with the NYS Commission on Ethics and Lobbying in Government (the “Commission”).
Equal Employment Opportunity
MTA and its subsidiary and affiliated agencies are Equal Opportunity Employers, including those concerning veteran status and individuals with disabilities.
The MTA encourages qualified applicants from diverse backgrounds, experiences, and abilities, including military service members, to apply.
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