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We are seeking an experienced AI developer to play a critical role in our GenAI-powered products. The ideal candidate will work closely with cross-functional teams to develop domain-specific models, curate datasets, optimize performance, and deploy production-ready solutions.
- Key Responsibilities:
- Design, configure, and deploy model-based solutions including open-source models and APIs.
- Develop and fine-tune models for specific enterprise verticals.
- Write efficient code for training pipelines, model orchestration, inference services, and dataset management.
- Build, clean, and label datasets for supervised fine-tuning and evaluation.
- Conduct experimentation and benchmarking across models to measure accuracy, latency, and cost-performance trade-offs.
- Apply techniques like Retrieval-Augmented Generation (RAG) and embedding models.
- Ensure security, scalability, and compliance of deployed model solutions.
- Collaborate with cross-functional teams to integrate models into enterprise platforms.
Required Qualifications:
- 4-6 years of experience in AI/ML development, with a strong focus on NLP and GenAI.
- Hands-on expertise in models like GPT, LLaMA, Falcon, Mistral, or similar open models.
- Proficiency in Python and key libraries.
- Experience with dataset creation, curation, and labeling for fine-tuning tasks.
- Knowledge of vector databases, embeddings, and similarity search.
- Familiarity with model serving frameworks.
- Ability to optimize model inference for latency and cost efficiency.
