ImpetusIT
Overview
One of our staffing partners is looking for its Fintech client a
Python programmer
/ Data scientist. Experience of 2-3 years. Not looking for senior programmers due to low pay. Salary offered $55-65k per year. Direct applicants only; no c2c or company candidates due to low margins. The staffing company or client will reach directly to the applicants. Base pay range
$60,000.00/yr - $70,000.00/yr Responsibilities
Design and maintain ETL pipelines and data workflows Analyze large datasets to identify trends, patterns, and opportunities Optimize data storage and retrieval using SQL and NoSQL databases Ensure data integrity, validation, and security across systems Requirements
Strong proficiency in Python and libraries like Pandas, NumPy, and Matplotlib Experience with data analytics tools and techniques Familiarity with SQL, PostgreSQL, or MongoDB Design, train, and fine-tune Large Language Models (LLMs) for various applications Develop advanced NLP solutions for text generation, summarization, and semantic search Optimize transformer-based architectures for performance and scalability Leverage prompt engineering and model customization to enhance AI outputs Deploy, monitor, and optimize AI models in cloud environments Understanding of data modeling and statistical analysis Experience with web frameworks (e.g., Flask, Django) Knowledge of version control systems (e.g., Git) Bachelor’s degree in Computer Science, Data Science, or related field
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One of our staffing partners is looking for its Fintech client a
Python programmer
/ Data scientist. Experience of 2-3 years. Not looking for senior programmers due to low pay. Salary offered $55-65k per year. Direct applicants only; no c2c or company candidates due to low margins. The staffing company or client will reach directly to the applicants. Base pay range
$60,000.00/yr - $70,000.00/yr Responsibilities
Design and maintain ETL pipelines and data workflows Analyze large datasets to identify trends, patterns, and opportunities Optimize data storage and retrieval using SQL and NoSQL databases Ensure data integrity, validation, and security across systems Requirements
Strong proficiency in Python and libraries like Pandas, NumPy, and Matplotlib Experience with data analytics tools and techniques Familiarity with SQL, PostgreSQL, or MongoDB Design, train, and fine-tune Large Language Models (LLMs) for various applications Develop advanced NLP solutions for text generation, summarization, and semantic search Optimize transformer-based architectures for performance and scalability Leverage prompt engineering and model customization to enhance AI outputs Deploy, monitor, and optimize AI models in cloud environments Understanding of data modeling and statistical analysis Experience with web frameworks (e.g., Flask, Django) Knowledge of version control systems (e.g., Git) Bachelor’s degree in Computer Science, Data Science, or related field
#J-18808-Ljbffr