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About the company
Lytx is a San Diego-based, global leader in video telematics, AI, and machine learning, dedicated to enhancing fleet safety and productivity since 1998. They provide cloud-connected cameras and data analytics to over 5.5 million drivers, serving industries like transport, waste, and utilities. Key services include risk detection, driver coaching, and regulatory compliance
For more info: 🔗 Visit Official Lytx Website
Do check below for Exciting Internships, Fresher & Experienced Roles at Lytx
💼 Machine Learning Scientist I – Bangalore ((NEW))
Lytx is hiring an Machine Learning Scientist I for the Bangalore location. Please read the complete information carefully and apply if you are eligible.
Eligibility Criteria :
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Qualification: Bachelor's or Master's degree in CS, EE, ECE, or a related field. -
Experience: 0 - 2 Years -
Skills: Python, C/C++.
Responsibilities:
- Develop ML/DL models end-to-end — problem formulation, data engineering, prototyping, training, evaluation, and iteration.
- Implement, debug, and improve DL models using frameworks such as PyTorch or TensorFlow.
- Optimize & deploy models on cloud/edge
- Continuous improvement of models using large scale field data
- Leverage GenAI tools and LLM APIs (e.g., Claude) to build solutions for internal and customer-facing use cases.
- Build and iterate on prompt engineering workflows, RAG pipelines, and LLM-powered applications along with AI agents for task/workflow automation
- Communicate findings and technical trade-offs to internal teams.
Requirements:
- Bachelor’s or Master’s degree in CS, EE, ECE, or a related field.
- 0–2 years of experience (including internships or academic work) in ML or DL.
- Hands-on experience with at least one DL framework (PyTorch or TensorFlow).
- Proficiency in Python; familiarity with C/C++.
- Strong foundations in mathematics, probability, statistics, and algorithms.
- Solid understanding of core ML concepts (supervised/unsupervised learning, model evaluation, regularization, etc.).
- ·Strong analytical and problem-solving skills; ability to thrive in a collaborative, fast-paced environment.
Stipend: ₹7LPA—₹19LPA (Glassdoor)
⚠️ Note: If the link is expired, the opportunity is closed or disabled by the company. Check for other opportunities.
