Machine Learning Engineers (Mid-Level & Junior) at Kavayah Solutions

Full job description

Location: Hyderabad, Telangana

Description

We're expanding our team and looking for a Mid-Level Machine Learning Engineer and a Junior Machine Learning Engineer to play crucial roles in developing our custom Large Language Models (LLMs) and optimizing their performance for legal research applications. These positions offer a unique opportunity to contribute to our innovative project's AI backend and React-based frontend.

Responsibilities

Mid-Level Machine Learning Engineer:

• Lead the design, implementation, and maintenance of machine learning models, focusing on NLP and LLMs for legal applications.
• Enhance model training processes, data pipelines, and performance optimization for scalability.
• Collaborate with front-end developers to integrate AI functionalities into our React UI, ensuring a seamless user experience.
• Conduct rigorous testing and performance evaluations to inform continuous improvement.

Junior Machine Learning Engineer:

• Support the development and maintenance of machine learning models and data processing tasks.
• Assist in integrating AI technologies into our React-based front-end, working closely with senior engineers.
• Participate in ongoing learning and team collaboration to stay at the forefront of AI research and development.

Requirements

For Mid-Level Engineer:

• Bachelor's or Master's in Computer Science, AI, Machine Learning (ML), or related field.
• Strong understanding of ML and neural network(NN) concepts. Should be able to train, validate, and test NN models.
• Proficiency in Python, ML frameworks (e.g., Tensor Flow, PyTorch), and ML ops.

For Junior Engineer:

• Bachelor's degree in a relevant field.
• 1+ year of machine learning experience or related internships.
• Basic knowledge of Python and machine learning frameworks.
• Interest in learning and contributing to React UI development.

General Qualifications

• Strong analytical, problem-solving, and communication skills.
• Ability to work effectively in a fast-paced, collaborative environment.
• Passion for innovation and continuous learning in AI and legal tech.