ML/LLM Architect IRC281722

Description

Document Completeness Checker: Ensuring that all uploaded customer documents are complete and requesting any missing reference documents necessary for parameter identification.
Expanded Document Constructor: Developing comprehensive versions of both customer requirements and reference project documents by integrating information from referenced documents, including nested references.
Deviation Summarizer: Creating initial summaries of key differences between customer requirements and reference project documents, highlighting critical deviations.
Electrical Component Identification: Utilizing AI-driven object identification algorithms to identify and list electrical components in customer SLD diagrams.
Parameter Extraction & Mapping: Extracting and associating relevant parameters such as dimensions and material properties from customer specifications with the identified electrical components.
User Interface: Developing a user-friendly interface for engineers to review and edit the list of electrical components and corresponding parameters, with future integration with 3D tools in the MVP phase.
Identical Term Presence Parser: Checking for elements missed in the Costing Sheet, focusing on identical terms used across the DoW and Costing Sheets.

Requirements

5+ years of experience in machine learning and data science.
Proven experience in designing and implementing ML architectures.
Proficiency in Python, Pandas, Numpy, Scipy.
Experience with containerization tools like Docker and Podman.
Strong knowledge of both relational and non-relational databases.
Bachelor’s degree in Computer Science, Engineering, or equivalent.
Excellent problem-solving, coding, and design skills.
Demonstrated ability to lead and mentor ML teams.
Good command of English for effective communication with team members.

 

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Job responsibilities

Design and architect machine learning solutions for various applications.
Oversee the end-to-end ML model development lifecycle, from data collection and preprocessing to model deployment and monitoring.
Collaborate with data engineers, data scientists, and software engineers to integrate ML models into production systems.
Ensure scalability, reliability, and performance of ML solutions.
Stay updated with the latest advancements in machine learning and data science.
Mentor and guide junior ML engineers and data scientists.
Conduct code reviews and ensure best practices in ML model development.
Develop and maintain documentation for ML architectures and solutions.

What we offer

Culture of caring. At GlobalLogic, we prioritize a culture of caring. Across every region and department, at every level, we consistently put people first. From day one, you’ll experience an inclusive culture of acceptance and belonging, where you’ll have the chance to build meaningful connections with collaborative teammates, supportive managers, and compassionate leaders. 

Learning and development. We are committed to your continuous learning and development. You’ll learn and grow daily in an environment with many opportunities to try new things, sharpen your skills, and advance your career at GlobalLogic. With our Career Navigator tool as just one example, GlobalLogic offers a rich array of programs, training curricula, and hands-on opportunities to grow personally and professionally.

Interesting & meaningful work. GlobalLogic is known for engineering impact for and with clients around the world. As part of our team, you’ll have the chance to work on projects that matter. Each is a unique opportunity to engage your curiosity and creative problem-solving skills as you help clients reimagine what’s possible and bring new solutions to market. In the process, you’ll have the privilege of working on some of the most cutting-edge and impactful solutions shaping the world today.

Balance and flexibility. We believe in the importance of balance and flexibility. With many functional career areas, roles, and work arrangements, you can explore ways of achieving the perfect balance between your work and life. Your life extends beyond the office, and we always do our best to help you integrate and balance the best of work and life, having fun along the way!

High-trust organization. We are a high-trust organization where integrity is key. By joining GlobalLogic, you’re placing your trust in a safe, reliable, and ethical global company. Integrity and trust are a cornerstone of our value proposition to our employees and clients. You will find truthfulness, candor, and integrity in everything we do.

About GlobalLogic

GlobalLogic, a Hitachi Group Company, is a trusted digital engineering partner to the world’s largest and most forward-thinking companies. Since 2000, we’ve been at the forefront of the digital revolution – helping create some of the most innovative and widely used digital products and experiences. Today we continue to collaborate with clients in transforming businesses and redefining industries through intelligent products, platforms, and services.