Position:
Machine Learning Scientist I
Company:
Lytx, Inc.
Location:
India
Job Type:
Full Time
Job Mode:
On-site
Job Requisition ID:
R-3387
Years of Experience:
- Required:
- Bachelor's/MS degree in CS, EE, EC, or related fields
- Preferred:
- Practical experience with ML/DL model development and deployment (personal project/internship, etc.)
- Practical experience with ML/DL model development and deployment (personal project/internship, etc.)
Company Description:
Lytx® is at the forefront of providing video telematics, analytics, safety, and productivity solutions tailored for commercial and public sector fleets. Our flagship Driver Safety Program, driven by the advanced DriveCam® Event Recorder, significantly contributes to saving lives and mitigating risks. By leveraging video technology, we enable clients to review past incidents, streamline current operations, and foster better driving habits for a safer future. Our extensive offerings encompass driver safety, risk detection, fleet tracking, compliance, and fuel management. Utilizing the most extensive driving database globally, alongside proprietary machine vision and AI technology, we safeguard and connect thousands of fleets and over a million drivers worldwide. For more insights, visit www.lytx.com, follow us on Twitter, LinkedIn, Facebook or our YouTube channel.
Profile Overview:
- Role Summary:
- As a Machine Learning Scientist I at Lytx, you will be integral to the Applied Machine Learning Team based in India. Your primary role involves developing and deploying machine learning and computer vision algorithms. These algorithms are essential for monitoring and assessing driver behavior and their surroundings to identify risks and enhance safety for our clients.
- Responsibilities:
- End-to-End development of Deep Learning (DL) models, including:
- Prototyping
- Formulation
- Data Engineering
- Model Training
- Implementing, debugging, and refining DL models.
- Developing and optimizing the deployment of DL models on cloud/Edge platforms.
- Optimizing DL models through techniques such as quantization and model pruning.
- Performing other duties as assigned to support the team and company's goals.
- End-to-End development of Deep Learning (DL) models, including:
Qualifications:
- Educational Background:
- Bachelor's or Master’s degree in Computer Science (CS), Electrical Engineering (EE), Electronics and Communication (EC), or related fields.
- Technical Skills:
- Deep understanding of core machine learning concepts.
- Practical experience with at least two DL frameworks, such as PyTorch or TensorFlow (TF).
- Proficient in any low-level programming language, such as C or C++.
- Analytical Skills:
- Strong problem-solving capabilities.
- Solid foundation in mathematics, probability, and algorithms.
- Collaboration:
- A team player who thrives in a collaborative, fast-paced environment.
Additional Info:
- Work Environment:
- At Lytx, innovation is a core value. We embrace a culture where employees go all-in, reflecting our commitment to leveraging cutting-edge technology and fostering a positive, inclusive workplace.
- Our team is diverse, driven by a shared goal to make a tangible difference in the world. We prioritize inclusivity and collaboration, ensuring every team member feels valued and heard.
- Company Values:
- We are dedicated to creating an environment where everyone can perform their best work and share their voices.
- Lytx is proud to be an equal opportunity employer. We maintain a drug-free workplace and are committed to attracting, retaining, and maximizing the performance of a diverse and inclusive workforce.
- We uphold principles of equal employment opportunity, affirmative action, and provide accommodations for individuals with disabilities and veterans.
Please click here to apply.
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