Highlights
End-to-end ML/DL development, cloud/edge optimization, GenAI tools, collaborative team environment.
Description
Job Summary
pJoin our Applied Machine Learning Team in India and develop cutting-edge machine learning and computer vision algorithms to enhance driver safety and improve road safety for clients. This role involves end-to-end model development, optimization, deployment, and continuous improvement using DL frameworks like PyTorch or TensorFlow.
Responsibilities
- Develop ML/DL models from problem formulation to deployment
- Implement and debug DL models with PyTorch/TensorFlow
- Optimize models for cloud/edge environments
- Evaluate and iterate on model performance using large-scale field data
- Leverage GenAI tools like Claude to build applications and automate workflows
Required Skills
- Data Engineering
- PyTorch/TensorFlow Frameworks
- Python Programming
- Model Optimization Techniques
- Prompt Engineering Workflows
Required Skills Explained
- Bachelor's or Master's degree in Computer Science, Electrical Engineering, Electronics and Communication Engineering, or a related field.
- 0–2 years of experience in Machine Learning or Deep Learning, including internships or academic work.
- Hands-on experience with at least one DL framework such as PyTorch or TensorFlow.
- Proficiency in Python; familiarity with C/C++ is a plus.
- Strong foundational knowledge in mathematics, probability, statistics, and algorithms.
- Understanding of core ML concepts including supervised and unsupervised learning, model evaluation, regularization, etc.
Who is this for
pThis role suits individuals with a strong background in machine learning, computer vision, and a passion for developing innovative solutions to improve road safety. Ideal candidates should have experience in DL model development and deployment.
Why This Job is a Good Opportunity
ulliOpportunity to work on cutting-edge technology that impacts road safety significantly.liPotential to contribute directly to improving driver behavior and reducing accidents through machine learning models.liAccess to a collaborative, fast-paced environment with experienced peers who value innovation and teamwork.liPotential for growth within the field of Machine Learning and AI, aligning closely with industry trends.
Interview Preparation Tips
- Prepare examples of your past projects or experiences related to ML/DL model development and deployment.
- Be ready to discuss your experience with Python, PyTorch, TensorFlow, and any other relevant frameworks.
- Bring questions about the company's approach to safety technology and how machine learning models are integrated into their solutions.
Career Growth in This Role
pThis role offers significant opportunities for career growth within the Machine Learning field. As a Machine Learning Engineer, you will have the chance to deepen your expertise in advanced algorithms and frameworks while also contributing to critical projects that impact road safety. The position is well-suited for those looking to build a strong portfolio of practical ML/DL work and could lead to more senior positions such as Senior Machine Learning Engineer or even roles within product development.pGrowth can be further facilitated by leveraging Lytx's commitment to innovation, which provides ample opportunities to collaborate on new projects and technologies. Additionally, the company's values of delivering for customers and elevating each other create a supportive environment that fosters continuous learning and professional development.
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Skills
Frequently Asked Questions
What experience is required?You should have a bachelor's or master's degree and 0-2 years of experience in ML or DL.
Can you tell me more about the role?This role involves developing, implementing, and optimizing machine learning models for driver safety applications.
What are the benefits of working here?Lytx offers a collaborative environment, opportunities for growth, and a mission to improve road safety.
