Machine Learning Engineer

Lytx, Inc.

Bengaluru

On-site

INR 800,000 - 1,200,000

Full time

14 days+

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Job summary

A leading technology company is looking for a Machine Learning Engineer in Bengaluru, Karnataka, to develop and optimize machine learning models that enhance safety for clients. The ideal candidate will have a Bachelor's/MS degree in a relevant field and at least 2 years of experience with deep learning frameworks. Join a fast-paced, collaborative environment where you can make a significant impact!

Qualifications

  • 2+ years of experience in model training using DL frameworks.
  • Experience with large datasets and distributed training.
  • Ability to work under minimal supervision.

Responsibilities

  • Develop and optimize DL models from prototyping to deployment.
  • Implement and debug models to improve performance.
  • Collaborate with developers to ensure system performance.

Skills

Prototyping
Understanding of core ML concepts
Analytical skills
Experience with PyTorch
Experience with TensorFlow
Computer vision
Collaboration in teams

Education

Bachelor's/MS degree in CS, EE, EC, or related fields

Tools

AWS Services (EC2, Sagemaker, etc.)
SQL
MLOps tools (SageMaker, Airflow, etc.)

Job description

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Talent Acquisition | Scaling Tech and Non-Tech Teams

Job Description

Why Lytx?:

As our Machine Learning Engineer, you will join our Applied Machine Learning Team in India, who develops machine learning and computer vision algorithms to monitor and assess the state of drivers and their environments to identify risk and improve safety for our clients. You will contribute to all aspects of the DL/ML model development and deployment cycle to improve the accuracy and throughput at reduced latency to help enhance and differentiate us as the leader in the Video Safety and Telematics industry. If this sounds like you, we encourage you to apply!

What You'll Do:

  • End-to-End development of DL/ML models – prototyping, formulation, data engineering, model training, etc.
  • Implement, debug, and improvise DL/ML models.
  • Develop and optimize cloud/Edge deployment of DL models.
  • Other duties as assigned.

What You'll Need:

  • Bachelor's/MS degree in CS, EE, EC, or related fields
  • 2+ years of experience in prototyping a given problem, surveying literature & coming up with a suitable methods & training the models using one of the DL frameworks.
  • Strong understanding of core ML concepts, and hands on experience with at least 2 DL frameworks like PyTorch/TF
  • Strong analytical & problem-solving skills with fundamental knowledge on relevant math, probability, and algorithms
  • Experience in computer vision problems such as detection, classification, and segmentation. Additional experience with non-vision problems is a plus.
  • Ability to work under minimal supervision and run structured experiments with end goal in mind.
  • Ability to work in collaboration with developers on model implementation to ensure adequate system performance (latency and accuracy), security, scalability, and availability.
  • Familiarity with AWS Services (EC2, Sagemaker, DynamoDB, ECR, Lambda etc.) is preferred. Experience with MLOps tools such as SageMaker, Airflow, MLFlow, H2O, etc., is a plus.
  • Experience with SQL or similar DB query language.
  • Experience working with large dataset / long running / distributed training.
  • Experience with any low-level programming language like C/C++ or deeper understanding of system architecture.
  • Strong teammate who enjoys working in a collaborative, fast-paced team-focused environment
Seniority level
  • Seniority level
    Associate
Employment type
  • Employment type
    Full-time
Job function
  • Job function
    Information Technology
  • Industries
    Software Development

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