ML Engineer

Company Overview

Company information is 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 ML 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 our applications to enable advanced search capabilities and improve user experience.
• Develop and deploy LangChain solutions to enable 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 ML 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 ML technologies and propose innovative solutions for adoption.
• Conduct code reviews, provide technical guidance, and mentor junior engineers on ML best practices.

Qualifications

• Bachelor’s or Master’s degree in Computer Science, Data Science, Artificial Intelligence, or a related field.
• Minimum of 10 years of experience in Machine Learning and Software Development.
• Expertise in Generative AI technologies and applications.
• Proficiency in using Bedrock, Kendra, and LangChain.
• Strong understanding of machine learning frameworks and libraries (e.g., TensorFlow, PyTorch, Scikit-Learn).
• Experience with cloud platforms such as AWS, Azure, or GCP.
• Excellent problem-solving skills and ability to work collaboratively in an Agile environment.
• Strong communication and interpersonal skills.

Preferred Skills

• Experience in deploying models in production environments.
• Familiarity with CI/CD pipelines and DevOps practices related to machine learning.
• Knowledge of data security and privacy considerations when working with ML models.
• Experience mentoring junior engineers and leading technical discussions.

Experience

• Minimum of 10 years of relevant experience in Machine Learning and Software Development.

Environment

• Work location may include Bangalore, Hyderabad, or Chennai.
• Work setting information is not specified.

Salary

Salary information is not specified.

Growth Opportunities

Career advancement opportunities are not specified.

Benefits

Benefits information is not specified.