AI/ML Engineer - Autonomous Driving

Location

Thiruvananthapuram | 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.

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