Are you looking to launch your career in Artificial Intelligence and Machine Learning with a globally recognized technology company? Lytx is inviting fresh graduates to apply for the ML Scientist opportunity in Bengaluru. This role provides a strong platform for candidates who are passionate about machine learning, data science, computer vision, and solving real-world business problems using cutting-edge technologies. If you want to work on impactful projects while building expertise in AI-driven solutions, this opportunity can be an excellent career move.
Job Overview
| Field | Details |
|---|---|
| Company Name | Lytx |
| Role | Machine Learning Scientist |
| Qualification | Bachelor’s / Master’s Degree in Computer Science, AI, Machine Learning, Data Science, or related fields |
| Job Location | Bengaluru, India |
| Salary | Up to 15 LPA |
| Work Type | Hybrid / Office Based |
| Job Type | Full-Time |
| Job Level | Fresher / Entry Level |
| Industry | Information Technology / Artificial Intelligence / Software Development |
Job Description
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
- 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.
What You’ll Need
- 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.
- Experience using GenAI tools and LLM APIs (e.g., Claude, OpenAI, Gemini) to build applications or automate workflows, along with familiarity with AI coding tools like Claude Code/GitHub Copilot.
- Experience with model deployment tools (ONNX, TensorRT, Docker) or cloud ML platforms.
Selection Process
- Online Application Submission
- Resume Screening
- Online Aptitude/Technical Assessment
- Technical Interview Round
- Machine Learning & Problem-Solving Round
- HR Interview
- Final Offer & Documentation Process
How to Apply
- Visit the official careers page or application portal.
- Search for the ML Scientist – Fresher role.
- Read the complete eligibility criteria and job requirements.
- Prepare and upload your updated resume.
- Fill in all required personal and academic details.
- Review the information carefully before submission.
- Submit your application and monitor your email for further updates.
