AI/ML Engineer - Autonomous Driving
Location
Trivandrum | India
Job description
Hashlist is a platform for tech positions & projects within the automotive sector.
We work with some of the largest OEMs, Tier1s, and Ecosystem Players developing for the automotive sector to help them fill on-demand tech talent gaps faster.
Are you ready to be a part of that journey We are now looking for a AI/ML Engineer that can help our client develop autonomous vehicles in Trivandrum, India.
Responsibilities:
- Design, develop, and implement machine learning models and algorithms to improve ADAS (advanced driver assistance systems) and full AD (autonomous driving).
- Collaborate with data engineers to design data collection strategies, preprocess data, and enhance data quality for training machine learning models.
- Utilize state-of-the-art machine learning frameworks (e.g., TensorFlow, PyTorch) to develop models that are efficient, scalable, and can be deployed in embedded automotive systems.
- Conduct experiments and iterative testing to evaluate the performance of machine learning models, utilizing A/B testing and other statistical methods to validate improvements.
- Integrate machine learning models into automotive software systems, working closely with software engineers to ensure seamless deployment and operation.
- Document the machine learning development process, including model design, evaluation metrics, and deployment strategies, to ensure reproducibility and facilitate knowledge sharing within the team.
Qualifications :
- Bachelor's or Master's degree in Computer Science, Artificial Intelligence, Data Science, or a related field, with a strong focus on machine learning.
- Proven experience in designing and implementing machine learning models, with a portfolio of projects that demonstrates expertise in predictive modeling, classification, clustering, and deep learning.
- Proficiency in programming languages such as Python, and experience with machine learning libraries and frameworks (TensorFlow, PyTorch).
- Strong understanding of data structures, data modeling, and software architecture principles relevant to machine learning and artificial intelligence applications.
- Experience with data preprocessing techniques, feature engineering, and understanding of the principles of dataset construction for machine learning.
- Familiarity with automotive systems and applications where machine learning can be applied is a plus.
- Excellent problem-solving skills, with the ability to work independently and in cross-functional teams to deliver innovative solutions.
- Strong communication skills, with the capacity to articulate complex technical concepts to both technical and non-technical stakeholders.
Next steps:
- Press Apply
- We will review your application
- If qualified, you will be accepted into the network and can be considered for this and similar positions & projects.
Job tags
Salary