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What you’ll achieve
As a Data Science Advisor, you will be responsible for contributing to business strategy and influence decision making based on information gained from deep dive analysis. You will produce actionable and compelling recommendations by interpreting insights from complex data sets. You will design processes to consolidate and examine unstructured data to generate actionable insights. You will also partner with business leaders, engineers and industry experts to construct predictive models, algorithms and probability engines.
You will:
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
5 - 7 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.
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