Machine Learning Engineer

Overview

EightyDays is seeking a Machine Learning Engineer with 3-5 years of experience to design, fine-tune, and deploy machine learning models. This role includes developing recommendation systems, optimizing existing models, and integrating them with APIs.

Company Details

Eighty Days is a travel planning app that truly transforms your journey. Whether organising recommendations from friends and family or exploring new destinations, it simplifies the process. Create maps, discover hidden gems, and connect with like-minded travellers, all while making your experience easier and uniquely tailored to you.

Product Links - PlayStore | Appstore

Requirements

• 3-5 years of experience in machine learning.

• Expertise in fine-tuning and optimizing machine learning models.

• Proven experience in designing, training, and deploying recommendation engine models.

• Experience deploying models in production environments.

• Proficiency in Python frameworks like TensorFlow, PyTorch, or Scikit-learn.

• Experience integrating machine learning models with Node.js APIs or microservices.

• Familiarity with third-party APIs like Gemini or OpenAI.

Responsibilities

• Optimize and fine-tune existing machine learning models.

• Design, train, and deploy recommendation engine models.

• Deploy machine learning models to production environments.

• Utilize Python frameworks like TensorFlow, PyTorch, or Scikit-learn for model development.

• Integrate machine learning models with Node.js APIs or microservices.

• Leverage third-party APIs like Gemini or OpenAI for enhanced model capabilities.

• Collaborate with cross-functional teams to improve algorithms and performance.

Location: Mumbai (Tardeo)

Interview Process

• Call with the ClanX team.

• Call with the founder of EightyDays.

• Take-home assignment.

• Final technical round with the EightyDays team.

Role of ClanX

ClanX is facilitating the hiring process for EightyDays by identifying and evaluating top talent for this role, ensuring alignment with the company’s needs.