LLM - Python
7 hours ago
Company Description
ProEchoes Technology is a dynamic and innovative team driven to deliver exceptional value by leveraging a blend of technologists, domain experts, architects, quality assurers, and managers. Our commitment to excellence ensures successful deliverables and fosters long-term client relationships. With a strong focus on disruptive technologies such as digitalization, mobile app development, IoT, and robotics automation, we aim to stay at the forefront of innovation. Our expertise spans diverse industries, and we are dedicated to solving client challenges efficiently and effectively.
Role Description
This is a full-time on-site role for an LLM - Python Developer based in New Delhi. The selected candidate will be responsible for developing, testing, and deploying Python-based applications and solutions within the context of large language models (LLMs). Key tasks include building and fine-tuning models, managing data pipelines, implementing algorithms, troubleshooting issues, and collaborating with cross-functional teams to meet project goals and deadlines. The role provides an opportunity to innovate in cutting-edge fields, working on impactful projects that integrate machine learning and natural language processing.
Qualifications
- Proficiency in Python programming, with experience in frameworks such as TensorFlow, PyTorch, or similar machine learning libraries
- Experience with Natural Language Processing (NLP), LLM fine-tuning, and the application of pre-trained models
- Knowledge of algorithm development, data structures, and software engineering principles
- Ability to design and manage data pipelines, data preprocessing, and feature engineering techniques
- Strong problem-solving skills, including debugging and troubleshooting technical issues
- Excellent collaboration and teamwork abilities, with effective communication skills
- Bachelor's degree in Computer Science, Engineering, or related field; advanced degrees or certifications in AI/ML are a plus
- Familiarity with version control (e.g., Git), cloud platforms (e.g., AWS, Azure), and container technologies (e.g., Docker) is advantageous
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