ML Engineer

Company Overview

Company details are not specified.

Job Summary

We are seeking a talented Machine Learning Engineer with expertise in Generative AI, Bedrock, Kendra, and LangChain to join our innovative team. The ideal candidate will have a strong background in machine learning, with hands-on experience developing and deploying models using cutting-edge technologies. This role will involve designing and implementing machine learning solutions to address complex business challenges and drive innovation in our products and services.

Responsibilities

• Design, develop, and deploy machine learning models using Generative AI techniques for creative applications such as image generation, text generation, and music composition.
• Implement and customize the Bedrock platform to accelerate model development, deployment, and monitoring.
• Integrate Amazon Kendra into applications to enable advanced search capabilities and improve user experience.
• Develop and deploy LangChain solutions for secure and scalable language processing and analysis.
• Collaborate with cross-functional teams to define requirements, collect and preprocess data, and evaluate model performance against business objectives.
• Optimize machine learning workflows for scalability, performance, and cost-effectiveness on cloud infrastructure platforms such as AWS, Azure, or Google Cloud Platform (GCP).
• Stay up-to-date with the latest advancements in machine learning technologies and propose innovative solutions for adoption.
• Conduct code reviews, provide technical guidance, and mentor junior engineers on machine learning best practices.

Qualifications

• Bachelor’s or Master’s degree in Computer Science, Engineering, Mathematics, or a related field.
• Proficiency in machine learning frameworks and libraries such as TensorFlow, PyTorch, or Keras.
• Strong programming skills in languages such as Python or Java.
• Experience with cloud services (AWS, Azure, GCP) for deploying machine learning models.
• Familiarity with data preprocessing, feature engineering, and model evaluation techniques.
• Understanding of Generative AI concepts and hands-on experience with related tools.

Preferred Skills

• Experience with containerization tools like Docker.
• Knowledge of DevOps practices for CI/CD in machine learning workflows.
• Familiarity with data visualization tools and techniques.
• Experience in natural language processing (NLP) and image processing.

Experience

• A minimum of 7 years of experience in machine learning, with a focus on Generative AI and related technologies.

Environment

Details regarding the typical work setting and location are not specified.

Salary

Salary details are not specified.

Growth Opportunities

Opportunities for career advancement within the organization are not specified.

Benefits

Benefits offered are not specified.