Design develop and deploy AI/ML models with a focus on GenAI and LLMs (e.g. ChatGPT LLAMA 2).
Implement and finetune NLP OCR and deep learning systems for natural language understanding semantic reasoning and question answering.
Utilize Vector Databases LangChain and LlamaIndex for advanced AI implementations.
Apply Prompt Engineering techniques to optimize AI model performance.
Build and maintain data pipelines and analytics systems to support AI solutions.
Write robust unittested code to ensure edgecase coverage usability and reliability.
Improve model performance and integrate emerging AI technologies.
Collaborate with crossfunctional teams using tools like HP ALM JIRA and GitLab.
Requirements
- Minimum of 5 years of experience in Machine Learning and Deep Learning.
- Strong knowledge of GenAI models Vector Databases LangChain and LlamaIndex.
- Proficiency in PyTorch HuggingFace and MLOps workflows.
- Handson experience with SQL data pipelines and analytics.
- Excellent understanding of NLP OCR and advanced AI architectures.
- Familiarity with IQVIA tools stack (HP ALM JIRA GitLab) is a plus.
- Strong problemsolving skills and the ability to work in a dynamic environment.
Preferred Skills:
- Experience in model finetuning and implementing cuttingedge AI technologies.
- Knowledge of software development best practices including Agile methodologies.
Minimum of 5+ years of experience in Machine Learning and Deep Learning. Strong knowledge of GenAI models, Vector Databases, LangChain, and LlamaIndex. Proficiency in PyTorch, HuggingFace, and MLOps workflows. Hands-on experience with SQL, data pipelines, and analytics. Excellent understanding of NLP, OCR, and advanced AI architectures. Familiarity with IQVIA tools stack (HP ALM, JIRA, GitLab) is a plus. Strong problem-solving skills and the ability to work in a dynamic environment. Preferred Skills: Experience in model fine-tuning and implementing cutting-edge AI technologies. Knowledge of software development best practices, including Agile methodologies.