AI Innovator
2 days ago
About the Position
We are seeking a highly skilled AI Innovator to lead our team in designing and developing cutting-edge AI solutions. With 15–18 years of experience in enterprise-scale AI systems, you will have a proven track record of fine-tuning foundational models and deploying scalable AI applications using modern frameworks and cloud-native technologies.
Your Key Responsibilities:
- Solution Architecture: Design and architect AI solutions using Large Language Models (LLMs) and advanced conversational AI frameworks.
- Model Development: Fine-tune LLMs and Sparse Large Models (SLMs) using techniques like Prompt Engineering for Fine-Tuning (PEFT), LoRA, and Quantized LoRA (QLoRA) for domain-specific use cases.
- Open-Source Frameworks: Build AI solutions using popular tools like Hugging Face, LangChain, and AutoGen.
- GCP Expertise: Design and deploy scalable AI solutions using Google Cloud Platform (GCP) services such as Vertex AI, BigQuery, AI Platform, and Cloud Functions.
- Integration and Deployment: Integrate generative AI models into enterprise systems and applications.
- MLOps Practices: Implement robust MLOps practices, including CI/CD pipelines (e.g., GitHub Actions) and containerization using Docker and Kubernetes.
- Coding and Development: Write clean, maintainable Python code for AI applications.
- Data Preprocessing: Build and maintain data pipelines for training and fine-tuning models.
- Model Evaluation: Evaluate model performance using relevant metrics and benchmarks; iterate to improve outcomes.
- Prototyping: Rapidly prototype AI applications to demonstrate capabilities.
- Research & Innovation: Stay current with emerging trends in AI and contribute to the evolution of AI architecture and development practices.
Your Qualifications:
- Bachelor's, Master's, or PhD in Computer Science, AI, Electrical Engineering, or Applied Mathematics.
- 15–18 years of experience in software architecture and AI/ML systems.
- Expert-level experience with GCP, and strong expertise in Microsoft Azure and Amazon Web Services (AWS) for deploying, monitoring, and optimizing AI workloads across cloud environments.
- Proficiency in Python, with deep knowledge of ML/DL frameworks like PyTorch and TensorFlow.
- Experience in fine-tuning and deploying LLMs using modern techniques and tools.
- Familiarity with MLOps platforms and workflows (MLFlow, Kubeflow, Airflow).
- Excellent communication and leadership skills, with the ability to influence cross-functional teams and drive innovation.
What We Offer:
- Competitive salary and benefits package.
- Culture focused on talent development with quarterly promotion cycles and company-sponsored higher education and certifications.
- Opportunity to work with cutting-edge technologies.
- Employee engagement initiatives such as project parties, flexible work hours, and Long Service awards.
- Annual health check-ups.
- Insurance coverage: group term life, personal accident, and Mediclaim hospitalization for self, spouse, two children, and parents.
A Values-Driven Work Environment:
We value diversity and inclusion in the workplace. We invite applications from all qualified individuals, including those with disabilities, and regardless of gender or gender preference. Our office is accessibility-friendly, with ergonomic setups and assistive technologies to support employees with physical disabilities.
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