ML Engineer

Salary

₹25 - 55 LPA

Min Experience

3 years

Location

Remote (India)

JobType

full-time

About the role

Overview

Company name: Wald.ai | HQ Location: Palo Alto, California | Website | LinkedIn

Role: ML Engineer

  • Experience: 3+ years
  • Salary: Rs. 25-55 lakhs per annum
  • Location: Remote
  • Type: Full-time

About the Role
We are looking for a Founding ML Engineer with 3+ years of experience in software development and a strong focus on machine learning, LLMs, and generative AI. This is a unique opportunity to be part of an early-stage AI startup, driving cutting-edge AI innovations and shaping the future of our ML infrastructure and products.

Key Responsibilities

  1. Develop and deploy ML models, focusing on LLMs, generative AI, and model fine-tuning.
  2. Build and optimize machine learning pipelines, ensuring scalability and efficiency.
  3. Work with large-scale datasets, improving data processing, feature engineering, and training workflows.
  4. Collaborate with cross-functional teams to integrate AI solutions into production systems.
  5. Stay ahead of AI/ML advancements, researching and implementing the latest techniques.
  6. Optimize model inference performance for real-world applications.
  7. Ensure robust monitoring, evaluation, and continuous improvement of deployed models.

What We’re Looking For

  1. 3+ years of hands-on experience in software development with a strong focus on machine learning.
  2. Proficiency in Python and deep understanding of ML frameworks (TensorFlow, PyTorch, Hugging Face, etc.).
  3. Experience with LLMs, generative AI, and model fine-tuning is highly desirable.
  4. Familiarity with cloud platforms (AWS, GCP, or Azure) and ML infrastructure.
  5. Understanding of MLOps best practices, including model versioning, monitoring, and deployment.
  6. Strong problem-solving skills and ability to work in a fast-paced startup environment.

About the company

About Us:
We secure employee conversations with AI assistants. 

Businesses need to manage data privacy and adhere to compliance regulations when employees use AI assistants in their everyday tasks. Wald.ai empowers users to leverage Generative AI responsibly while protecting against the risk of data leaks.

Skills

Machine Learning