Responsibilities:
- Partner with internal and external teams to understand customer requirements and develop proposals
- Conduct interactions with external customers to gather project requirements, provide status updates and share analytical insights
- Implement preliminary data exploration and data preparation steps for model development/validation
- Apply a broad range of techniques and theories from statistics, machine learning, and business intelligence to deliver actionable business insights.
- Solution, build, deploy and setup monitoring for models.
- Thrive in a dynamic and sometimes ambiguous environment, working with minimal supervision while delivering action items in a timely fashion.
Essential Requirements
- 8-10 years of related experience with proficiency in NLP, Machine Learning, Computer Vision, and GenAI.
- Working experience in data visualization (e.g., Power BI, matplotlib, plotly).
- Hands-on experience with CNN, LSTM, YOLO, and database skills including SQL, Postgres SQL, PGVector, and ChromaDB.
- Proven experience in MLOps and LLMOps, with a strong understanding of ML lifecycle management.
- Expertise with large language models (LLMs), prompt engineering, fine-tuning, and integrating LLMs into applications for natural language processing (NLP) tasks.
Desirable Requirements
- Strong product/technology/industry knowledge and familiarity with streaming/messaging frameworks (e.g., Kafka, RabbitMQ, ZeroMQ).Experience with cloud platforms (e.g., AWS, Azure, GCP)
- Experience with web technologies and frameworks (e.g., HTTP/REST/GraphQL, Flask, Django).Skilled in programming languages like Java or JavaScript.