Senior Artificial Intelligence Developer
1 week ago
Job Title : Senior AI Developer (NLP, LLM, RAG).
Experience : 7+ years.
Location : Chennai (Hybrid).
Job Description :
We are looking for a highly skilled Senior AI Developer with deep expertise in Natural Language Processing (NLP), Large Language Models (LLM), Retrieval-Augmented Generation (RAG), and Python to join our AI team.
In this role, you will develop and optimize AI-driven solutions to address complex business challenges, working closely with data scientists, ML engineers, and cross-functional teams to deliver state-of-the-art applications.
Key Responsibilities :
- Develop and Implement NLP Solutions : Design, build, and optimize NLP models for various applications, including language understanding, question-answering, and sentiment analysis.
- Large Language Model (LLM) Applications : Apply and fine-tune large language models, optimizing them for performance, accuracy, and scalability in real-world scenarios.
- Retrieval-Augmented Generation (RAG) : Implement RAG-based systems to enhance model performance by integrating external knowledge sources.
- Python Programming and Model Development : Develop and maintain high-quality code in Python, with a focus on performance, scalability, and code readability.
- Research and Experimentation : Stay updated with the latest advancements in NLP, LLMs, and RAG; experiment with novel techniques to improve AI capabilities.
- Model Deployment and Integration : Work with engineering teams to deploy and integrate models into production environments, ensuring reliability and robustness.
- Data Management : Collaborate with data teams to manage and preprocess large datasets, optimize data pipelines, and ensure data quality for AI models.
- Mentorship and Collaboration : Provide guidance to junior developers, participate in code reviews, and foster a culture of continuous learning and improvement.
Qualifications : Experience : 7+ years in AI/ML development, with a focus on NLP and large language models.
Technical Skills :
- Strong expertise in Python and relevant NLP/ML libraries (e.g. , Hugging Face, spaCy, NLTK, or similar).
- Hands-on experience with LLMs (GPT, BERT, etc.) and techniques for fine-tuning and optimizing language models.
- Proficiency in Retrieval-Augmented Generation (RAG) and related technologies.
- Machine Learning Knowledge : Solid understanding of deep learning frameworks (e.g. , TensorFlow, PyTorch) and experience with model training, tuning, and optimization.
- Problem-Solving and Research Skills : Ability to tackle complex technical challenges, conduct research, and implement innovative solutions.
- Communication : Strong written and verbal communication skills for collaborative work with team members and stakeholders.
Nice-to-Have :
- Familiarity with cloud-based machine learning services (AWS SageMaker, GCP AI Platform).
- Experience with MLOps practices and tools for model deployment, monitoring, and lifecycle management.
- Background in working with vector databases and knowledge bases.
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