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ML Engineer IRC229121
| Job: | IRC229121 |
| Location: | Poland - Krakow |
| Designation: | Senior Software Engineer |
| Experience: | 3-5 years |
| Function: | Engineering |
| Skills: | Data Science, Generative Models, Machine Learning, NLP, Python |
| Work Model: | Remote |
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:
3+ years of experience in machine learning.
Proficiency in Natural Language Processing (NLP) and model training.
Experience with RAG architectures.
Bachelor’s degree in Computer Science, Engineering, or equivalent.
Excellent problem-solving and analytical skills.
Demonstrated ability to fine-tune large pre-trained models.
Good command of English for effective communication with team members.
#LI-AB8 #LI-Remote
Job Responsibilities:
Develop and deploy machine learning models.
Utilize and fine-tune large pre-trained models for various applications.
Implement and optimize RAG architectures.
Conduct experiments to improve model performance and accuracy.
Collaborate with cross-functional teams to integrate machine learning solutions into products.
Stay updated with the latest advancements in machine learning and NLP.
Document development processes and findings.
Knowledge of Pytorch, RAG, pre-trained models.
What We Offer
Empowering Projects: With 500+ clients spanning diverse industries and domains, we provide an exciting opportunity to contribute to groundbreaking projects that leverage cutting-edge technologies. As a team, we engineer digital products that positively impact people’s lives.
Empowering Growth: We foster a culture of continuous learning and professional development. Our dedication is to provide timely and comprehensive assistance for every consultant through our dedicated Learning & Development team, ensuring their continuous growth and success.
DE&I Matters: At GlobalLogic, we deeply value and embrace diversity. We are dedicated to providing equal opportunities for all individuals, fostering an inclusive and empowering work environment.
Career Development: Our corporate culture places a strong emphasis on career development, offering abundant opportunities for growth. Regular interactions with our teams ensure their engagement, motivation, and recognition. We empower our team members to pursue their career goals with confidence and enthusiasm.
Comprehensive Benefits: In addition to equitable compensation, we provide a comprehensive benefits package that prioritizes the overall well-being of our consultants. We genuinely care about their health and strive to create a positive work environment.
Flexible Opportunities: At GlobalLogic, we prioritize work-life balance by offering flexible opportunities tailored to your lifestyle. Explore relocation and rotation options for diverse cultural and professional experiences in different countries with our company.