We are seeking a talented and experienced AI/ML Engineer to join our team, contributing to innovative products focused on providing AI-based business applications to FinTech clients. The ideal candidate should be well-versed in the latest AI technologies, specifically Language Models (LLM), and possess strong skills in data analytics and SQL query writing.

The Core Responsibilities For The Job Include The Following

Built AI agents for business applications:

• Design, develop, and implement advanced models using cutting-edge AI technologies, with a primary focus on Language Models (LLM), to extract relevant information from payslips.
• Includes Models and frameworks for agent consumption.
• Includes configurable rules for model fine-tuning.
  
  

AI Technology Integration

• Work closely with the technology team to integrate AI models into the existing infrastructure, ensuring seamless functionality.
• Stay updated on the latest advancements in AI and machine learning and apply state-of-the-art techniques, such as LLM, to continually improve model outcomes.
  
  

Data Analytics

• Conduct thorough data analysis to identify trends, patterns, and insights that contribute to the refinement of payslip data extraction and fraud detection models.
• Provide actionable recommendations based on data insights to enhance overall performance.
  
  

Database

• Write and optimize SQL queries to efficiently retrieve, manipulate, and analyze large datasets relevant to business use cases.
  
  

Requirements

• Proven experience as an AI/ML engineer working on business applications.
• Expertise in OpenAI and Gemini usage and capability.
• Expertise in developing models using Language Models (LLM) for natural language processing tasks.
• Strong background in data analytics, statistical analysis, and machine learning concepts.
• Proficient in writing complex SQL queries for data extraction and analysis.
• Excellent problem-solving skills and the ability to think creatively to overcome challenges.
• Strong communication skills to effectively convey technical concepts to both technical and non-technical stakeholders.
• Ability to work collaboratively in a team environment and take complete ownership of the product.
  
  

Preferred Skills

• Programming Languages: Python/Java.
• Machine Learning Frameworks: TensorFlow, PyTorch.
• Data Processing Tools: Pandas, NumPy, Dask, Apache Spark.
• Model Deployment and Serving: TensorFlow Serving, Flask/FastAPI, Docker, Kubernetes, Google AI Platform.
• Cloud Platforms and Tools: Google Cloud AI, AWS AI/ML.
• Computational Hardware and GPUs: NVIDIA CUDA, Tensor Processing Units (TPUs), GPUs (e. g., NVIDIA, AMD).
  
  

This job was posted by Tartan Talent from Tartan.