Deep Learning Engineer

2 months ago

Jaipur, India Programmers.io Full time

Job Description:

Job Title: Senior Deep Learning Engineer

Shift Timings: Should be available till 9 PM IST

Location: Remote

Experience required: 5 to 8 years


About the Company:

Programmers.io is an ISO 27001 - certified tech company that has been serving Fortune 100 clients globally for over a decade. With 1000 dedicated professionals, we offer comprehensive technological solutions, delivering value and customer satisfaction.



Mission and Vision: Empower IT initiatives and expedite digital transformation with our on-demand software developers. Address challenges with tried-and-tested techniques honed through extensive global enterprise experiences. Count on us to kickstart projects promptly using proven methodologies for swift launches within a week.



At Programmers.io, our vision is to foster a global environment where developers collaborate remotely, cultivating a culture of continuous growth and success. Our diverse team excels in over 100 development skills, spanning Full Stack development, IBM i/AS400, Cloud Services, Shift Left Testing, DevOps, low-code, and AI/ML. We align software solutions with client needs, offering an industry-exclusive Happiness Guarantee with 24/7 support.



Solid Expertise: Programmers.io excels in IBM i/AS400 development, ensuring robust solutions tailored to IBM Power Systems requirements. Our certified professionals bring extensive experience and proficiency to deliver scalable software solutions across diverse industries focusing on digital transformation. Key sectors include:



  • Retail: We collaborate with retail giants to enhance their digital presence and transition into the digital sphere.
  • Insurance: We support insurance companies with intricate calculators, legacy system cloud migration, and real-time edge computing for timely insights and claims processing.
  • Manufacturing: We can help drive manufacturing innovation with predictive maintenance strategies to Industry 4.0 initiatives, optimizing core processes.


About the Role:

We are looking for a seasoned Machine Learning Engineer with over 5+ years of experience, specializing in Computer Vision, Graph Search, and Natural Language Processing (NLP). The ideal candidate will be responsible for developing and deploying cutting-edge machine learning models, with a focus on P&ID diagram processing, object detection, and OCR. Additionally, you will work on innovative technologies such as Generative AI, leveraging Azure OpenAI services, and developing prompt engineering and Retrieval-Augmented Generation (RAG) techniques.


Responsibilities:

  • Computer Vision & P&ID Diagram Processing:
  • Develop and implement machine learning models for processing and analyzing Piping and Instrumentation Diagrams (P&ID).
  • Extract and analyze relationships between symbols and tags within P&ID diagrams.
  • Design and optimize algorithms for object and line detection in engineering diagrams.
  • Implement solutions to identify flow directions within P&ID diagrams.
  • Graph Search & Relationships Extraction:
  • Develop graph-based search algorithms to efficiently extract and analyze relationships between components in complex diagrams.
  • Collaborate with engineering teams to improve the accuracy and performance of relationship extraction between symbols and tags.
  • OCR & Text Processing:
  • Implement Optical Character Recognition (OCR) solutions to extract textual data from engineering diagrams and documents.
  • Enhance the accuracy of OCR systems for specialized use cases in engineering contexts.
  • Generative AI & Azure OpenAI:
  • Design and implement Generative AI models using Azure OpenAI to solve domain-specific problems.
  • Develop and refine prompt engineering techniques for various AI-driven applications.
  • Apply RAG techniques to improve the performance and relevance of AI models in real-world scenarios.
  • NLP & Recommendation Systems:
  • Design and develop Natural Language Processing (NLP) models to extract and process information from unstructured data sources.
  • Build and optimize recommendation systems tailored to specific use cases within engineering and industrial domains.


Qualifications:

  • Bachelor’s or master’s degree in computer science, Engineering, or a related field.
  • 5+ years of hands-on experience in machine learning, with a focus on Computer Vision and NLP.
  • Proven experience with P&ID diagram processing, including object detection, line detection, and flow direction identification.
  • Strong expertise in graph search algorithms and relationship extraction from complex diagrams.
  • Proficient in OCR technologies and their application in document processing.
  • Experience with Generative AI models and familiarity with Azure OpenAI services.
  • Demonstrated experience in prompt engineering and Retrieval-Augmented Generation (RAG) techniques.
  • Knowledge of recommendation systems and their applications in various domains.
  • Excellent problem-solving skills and ability to work on complex, multidisciplinary projects.


Required Skills:

  • Machine Learning Specialization: Computer Vision, NLP.
  • Frameworks & Libraries: TensorFlow, PyTorch, YOLO.
  • Diagram Processing: P&ID diagram processing, object detection, line detection, flow direction identification.
  • Graph Search: Graph-based search algorithms, relationship extraction.
  • OCR Technologies: Optical Character Recognition.
  • Generative AI & Azure OpenAI: Model design, prompt engineering, Retrieval-Augmented Generation (RAG).
  • Recommendation Systems: Development and optimization for engineering contexts.
  • Programming Languages: Python.


Preferred Qualifications:

  • Experience in industrial or engineering environments, particularly in processing engineering diagrams.
  • Familiarity with cloud platforms, particularly Azure, and their AI/ML services.
  • Strong communication skills and ability to work in a collaborative, fast-paced environment.


Pay range and compensation package:

Pay range or salary or compensation


Equal Opportunity Statement:

Include a statement on commitment to diversity and inclusivity.



For more details: please visit our website:



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