Visionary Machine Learning Engineer for Innovative Computer Vision and NLP Solutions

5 days ago


Bengaluru, Karnataka, India Thoucentric Full time
Unlock the Power of AI with Thoucentric

We are seeking a highly skilled Visionary Machine Learning Engineer to join our team at Thoucentric. This role is ideal for an ML expert ready to develop and deploy cutting-edge solutions that address complex real-world challenges, bridging the gap between technical innovation and client needs.

About the Role

  • Design and Develop Advanced Models: Design, implement, and optimize computer vision, NLP, and large language models, applying advanced algorithms to solve complex client problems. Evaluate model suitability based on requirements and constraints, ensuring the selection of the most effective approach.
  • Data Preprocessing and Feature Engineering: Perform thorough data preprocessing, feature engineering, and transformation tasks for image, text, and multi-modal data to maximize model performance and accuracy.
  • Custom Model Tuning and Fine-Tuning LLMs: Leverage and fine-tune state-of-the-art NLP models, such as BERT, GPT, and other transformer-based architectures, adapting them to specific domain requirements. Apply transfer learning, domain adaptation, and few-shot techniques for customized model outputs.
  • Computer Vision Solutions: Implement and optimize computer vision techniques, including image segmentation, object detection, classification, and image generation, using state-of-the-art architectures such as CNNs, YOLO, and vision transformers.
  • Solution Strategy and Client Collaboration: Collaborate with clients to understand their unique needs, recommend solution strategies, and develop tailored machine learning and deep learning applications for NLP and computer vision tasks.
  • Production-Ready Code and Pipeline Deployment: Write clean, efficient, production-grade Python code for deploying machine learning models as scalable cloud-based pipelines. Adhere to software engineering best practices, including version control, modular design, and testing.
  • Cloud Platform and Model Deployment: Design and manage machine learning pipelines on cloud platforms (e.g., AWS, Azure, GCP), leveraging their services for model deployment, versioning, monitoring, and scaling.
  • Result Analysis and Communication: Analyze and interpret model results, deriving actionable insights and translating complex findings for diverse audiences, from technical stakeholders to business users.

Requirements

  • Computer Vision Expertise: Proven experience with computer vision techniques such as CNNs, object detection, image segmentation, and vision transformers. Proficiency in applying state-of-the-art models (e.g., YOLO, EfficientNet) for image-based tasks.
  • NLP and Large Language Models: Advanced knowledge of NLP techniques and experience with transformer-based models like BERT, GPT, and T5. Skilled in fine-tuning and optimizing large language models (LLMs) for specific tasks and domains.
  • Python and Software Engineering: Proficiency in Python programming with a strong understanding of object-oriented programming (OOP) principles and best practices for writing scalable, maintainable code.
  • Cloud Platforms and Model Deployment: Hands-on experience with deploying machine learning solutions on cloud platforms (AWS, Azure, GCP), particularly for NLP and computer vision applications. Familiarity with MLOps tools for automated deployment and monitoring.
  • Debugging, Optimization, and Best Practices: Excellent debugging skills with experience in code optimization, memory management, and troubleshooting in production environments.
  • Client Engagement and Solution Design: Demonstrated ability to communicate effectively with clients, understand their needs, and provide clear technical solutions aligned with business goals.

Bonus Points: Achieve above-average marks in developing and implementing innovative, high-quality solutions that showcase your creativity, teamwork, and dedication to the industry.

This role offers a competitive salary of $$150,000 - $200,000 per year, depending on experience. We also offer excellent benefits and opportunities for professional growth and development.



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