NEWPosted 10 hours ago

Job ID: JOB_ID_8073

Role Description:

We are seeking a highly skilled Generative AI/ML Engineer to join our team. This role will focus on designing, implementing, and deploying cutting-edge generative AI models for various applications. You will be instrumental in fine-tuning, optimizing, and deploying large language models (LLMs) such as GPT, Claude, and Llama. The position involves developing robust ML applications, APIs, and services using Python, and creating and optimizing prompts for diverse LLM use cases. You will also be responsible for implementing evaluation frameworks to ensure the performance and safety of generative AI models, and deploying and monitoring these models in production environments with proper scaling. Staying current with the latest GenAI research and implementing state-of-the-art techniques is crucial. Additionally, you will build data preprocessing and feature engineering pipelines for ML workflows and collaborate closely with product, engineering, and data science teams to deliver innovative AI solutions.

Key Responsibilities:

  • Generative AI Development: Design and implement generative AI models for text, code, and multimodal applications.
  • LLM Engineering: Fine-tune, optimize, and deploy large language models (GPT, Claude, Llama, etc.).
  • Model Training: Develop training pipelines for custom generative models and foundation model adaptation.
  • Python Development: Build robust ML applications, APIs, and services using Python and ML frameworks.
  • Prompt Engineering: Create and optimize prompts for various LLM applications and use cases.
  • Model Evaluation: Implement evaluation frameworks for generative AI model performance and safety.
  • Production Deployment: Deploy and monitor ML models in production environments with proper scaling.
  • Research & Innovation: Stay current with latest GenAI research and implement state-of-the-art techniques.
  • Data Pipeline Management: Build data preprocessing and feature engineering pipelines for ML workflows.
  • Collaboration: Work closely with product, engineering, and data science teams to deliver AI solutions.

Must-Have Skills:

  • Strong knowledge and skills in GenAI, NLP, and Machine Learning.
  • Proficiency in Python and ML frameworks/libraries such as Langchain, TensorFlow, PyTorch, Hugging Face Transformers.
  • Good knowledge of Public and Private cloud environments (Azure, AWS, OpenShift, Dockers, Kubernetes, ELK).
  • Good understanding of microservice architecture.
  • Experience with databases (SQL Server, Snowflake, SingleStore, etc.).
  • Strong analytical, consultative, and team communication skills.

Nice-to-Have Skills:

  • Understanding of IT Standards, Methodologies, CMM audit requirements.
  • Agile experience.
  • Financial institution knowledge.

Keywords:

  • Skills: Digital : Python~AI & Gen AI – Products & Tools
  • artificial intelligence
  • machine learning
  • information technology
  • card
  • Minnesota

Special Requirements

Only Local to Minneapolis, MN


Compensation & Location

Salary: $120,000 – $160,000 per year (Estimated)

Location: Minneapolis, MN


Recruiter / Company – Contact Information

Email: muralirecruiter21@gmail.com


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