Job Title / Role: Gen AI Developer
Key Skills: Gen AI, Natural Language Processing (NLP), Neural Networks (NN).
Experience: 3-6 years
Location: Greater Noida
Shift: General
Mode: Hybrid
Immediate Joiners are preferred
We at Coforge are hiring Generative AI Developer with deep expertise in Natural Language Processing (NLP) and Neural Networks (NN). The ideal candidate will have at least 9 years of experience in developing and deploying cutting-edge AI models, focusing on NLP-driven applications and generative AI solutions. You will be responsible for leading the design, development, and implementation of state-of-the-art AI systems that leverage advanced neural network architectures.
- Lead NLP and Generative AI Initiatives: Architect and develop large-scale AI models for natural language understanding, text generation, and creative content generation using neural network models such as Transformers (GPT, BERT), LSTMs, and CNNs, RAGs.
- Design & Optimize Neural Networks: Lead the design, training, and optimization of deep learning models for NLP tasks such as text classification, machine translation, speech-to-text, summarization, and language generation.
- Fine-tune Large Language Models (LLMs): Work with large pre-trained models (e.g., GPT-4, T5, BERT) to fine-tune for domain-specific tasks, ensuring high accuracy, efficiency, and scalability.
- Data Pipeline Management: Lead the data pipeline for model development, including data collection, cleaning, and augmentation. Handle large-scale datasets for NLP model training and fine-tuning.
- Collaborate & Mentor Teams: Work closely with cross-functional teams, mentoring junior engineers, and collaborating with data scientists, software engineers, and product managers to integrate AI capabilities into core products.
- Research & Development: Stay abreast of the latest advancements in generative AI, NLP, and neural networks. Lead R&D initiatives to prototype and productionize novel AI solutions.
- Deploy and Maintain AI Systems: Deploy models into production environments, ensuring they meet performance, scalability, and reliability standards. Continuously monitor and update models to ensure optimal performance.
- Contribute to AI Strategy: Provide thought leadership in the strategic direction of generative AI applications within the organization, helping to identify new opportunities to leverage AI.
Experience:
- Experience in AI/ML with a strong focus on NLP and Neural Networks.Extensive hands-on experience in developing and deploying generative AI models for NLP tasks such as text generation, conversational agents, and natural language understanding.
- Proven experience with state-of-the-art neural network architectures (Transformers, CNNs, RNNs, LSTMs) and fine-tuning large language models (e.g., GPT, BERT).
- Demonstrated experience working with high-scale datasets and applying advanced data processing techniques for NLP.
Technical Skills:
- Proficient in programming languages such as Python with experience in AI/ML libraries (e.g., TensorFlow, PyTorch, Hugging Face, Keras).
- Deep expertise in NLP libraries and tools (e.g., SpaCy, NLTK, transformers by Hugging Face).
- Hands-on experience with model deployment in production environments using cloud platforms (Azure, AWS, GCP).
- Solid understanding of MLOps practices including model deployment, monitoring, and continuous learning.Proficiency with version control, collaboration tools (Git, JIRA), and CI/CD pipelines.
