Spearheading AI initiatives and innovation by designing, developing, and deploying Artificial Intelligence systems that solve complex problems and drive technological advancement.
Requirements
- Experience with Agentic AI development.
- Strong programming skills in Python
- Experience with Machine Learning, Data Visualization, and Generative AI libraries and frameworks (e.g., Pandas, NumPy, Matplotlib, Seaborn, TensorFlow, PyTorch, scikit-learn, LangChain).
- Experience in Prompt Engineering, LLM Fine Tuning, and evaluation techniques
- Proven experience in developing and deploying machine learning models in a production environment.
- Strong understanding of Generative AI, Retrieval Augmented Generation, Agentic AI Workflow, Statistical methods, data structures, and algorithms.
- Experience with AWS Sage Maker, Bedrock, and AWS cloud platform for deploying AI solutions.
Responsibilities
- Develop and implement AI solutions such as Retrieval-Augmented Generation (RAG) and Agentic AI Workflows using advanced techniques in prompt engineering and fine-tuning of Large Language Models (LLMs).
- Conduct thorough evaluations of LLMs to ensure the models meet the desired performance criteria and are aligned with business goals.
- Design and develop machine learning models and algorithms to address business challenges and improve product features.
- Deploy machine learning models in production environments to ensure scalability and efficiency.
- Collect, clean, and preprocess data from various sources to create robust datasets for training and evaluation.
- Develop scalable APIs in python (fastApi, Apache, Gunicorn, Uvicorn) for model inferencing
- Stay updated with the latest trends and advancements in AI and machine learning technologies.
Other
- Will be converting at a senior associate level
- Excellent communication and collaboration skills.
- Strong problem-solving skills and analytical thinking
- Passion for learning and staying up-to-date with the latest advancements in AI field
- Collaborate with cross-functional teams to integrate AI solutions into existing systems and workflows, enhancing overall efficiency and capabilities.
