NEWPosted 2 hours ago
Job ID: JOB_ID_4926
Job Role: Python or Applied ML Engineer (Hybrid RAG, NLQ)
We are looking for a talented Python or Applied Machine Learning Engineer to join a technologically advanced team. This role is crucial for developing and enhancing Contact Center Insights platforms. The ideal candidate will possess a strong understanding of the banking contact center technology landscape and be adept at creating creative, scalable solutions.
Key Responsibilities:
- Develop and enhance Contact Center Insights platforms using Python and Applied ML.
- Integrate existing capabilities with proprietary system builds.
- Leverage data science and applied ML techniques to drive measurable business outcomes.
- Implement Hybrid RAG (Retrieval-Augmented Generation) and NLQ (Natural Language Query) solutions.
- Collaborate with cross-functional teams to define and deliver innovative solutions.
- Analyze complex data sets to identify trends and opportunities for improvement.
- Ensure the scalability, reliability, and performance of developed solutions.
- Stay current with the latest advancements in AI, ML, and data science.
- Contribute to the technical roadmap and strategy for the Contact Center Insights platforms.
Qualifications:
- Proven experience as a Python Developer or Applied ML Engineer.
- Strong understanding of machine learning algorithms and techniques.
- Experience with RAG and NLQ technologies.
- Familiarity with the banking contact center technology landscape is a plus.
- Ability to develop creative and scalable solutions.
- Experience in data analysis and deriving business insights.
- Excellent problem-solving and analytical skills.
- Strong communication and collaboration abilities.
- Experience with hybrid work environments.
Additional Information:
- Duration: 12 Months
- Pay Rate: $63/hr C2C
- Interview Process: In-person Interview required.
Special Requirements
In-person Interview
Compensation & Location
Salary: $63 – $63 per year
Location: Alpharetta, GA
Recruiter / Company – Contact Information
Email: hav@techvysolutions.com
Recruiter Notice:
To remove this job posting, please send an email from
hav@techvysolutions.com with the subject:
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