Job Overview:
Key Responsibilities:
Design and Develop AI Solutions: Build advanced AI and NLP solutions focusing on large language models. Experiment with state-of-the-art Transformer architectures (e.g., BERT, GPT, LLaMA) to address complex language understanding and generation tasks.
Advanced NLP Techniques: Implement and enhance NLP capabilities like text generation, summarization, and retrieval-augmented generation (RAG) to provide intelligent and contextually aware features in our solutions.
Prompt Engineering & Fine-Tuning: Craft effective prompts and fine-tune LLMs to improve model performance for specific domains and use cases. Experiment with prompt strategies and training techniques to optimize generative models.
Production Deployment & MLOps: Deploy and scale models in production settings, ensuring reliability and low-latency performance. Implement MLOps best practices (CI/CD pipelines, model monitoring, version control) to achieve robust, repeatable model deployments.
Cloud AI Integration: Utilize AI/ML cloud services (AWS, GCP, Azure) for model training,



deployment, and infrastructure management. Optimize cloud resources to handle large-scale training and inference efficiently.
Model Optimization & Scaling: Continuously optimize model performance and implement scaling strategies to handle large datasets and high-volume usage.
Cross-Functional Collaboration: Work closely with data scientists, software engineers, and product managers to integrate AI capabilities into products and solutions. Collaborate in cross-functional teams to gather requirements, brainstorm ideas, and ensure AI systems meet client needs and quality standards.
Innovation and Research: Stay up-to-date with the latest AI research, papers, and trends in the industry. Proactively experiment with recent algorithms, models, and techniques to keep our solutions at the cutting edge.

Required Qualifications:
Education & Experience: Bachelor’s or Master’s degree in Computer

📌 Senior Ai Engineer Ahmedabad
🏢 F(x) Data Labs
📍 Ahmedabad