Job Description

• Engage with customers to understand problem statements and technical requirements
• Design and architect AI/ML cloud solutions
• Develop system architecture diagrams and establish best practices for ML systems
• Define data architecture and model serving strategies

Skills & Qualifications:

• 5+ years of experience designing, developing, deploying, and operationalizing AI/ML solutions
• Expertise in GenAI and Conversational AI technologies, including LLMs, LangChain, Llama Index, and Vector DBs (e.g., Pinecone, Elasticsearch)
• Strong understanding of Deep Learning and Machine Learning techniques such as LLMs, Neural Networks, CNNs, RNNs, LSTM, Transformers, and Time Series Forecasting
• Experience in Data Science, NLP, Generative AI, and AI solution architecture
• Proficiency in MLOps/LLMOps, with experience in ML pipelines both On-Prem and Cloud (e.g., SageMaker)
• Expert-level skills in Python and open-source frameworks such as PyTorch, TensorFlow, NumPy, etc.
• Proven experience designing cloud-native solutions using AI services from Azure, AWS, or other cloud platforms
• Ability to lead and mentor Data Engineers and ML engineers, guiding them on technical architecture and best practices

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