Data Analytics AIML

Location - Pune

Experience - 3 to 6 Years

Qualification - B.E / B Tech

• Develop, implement, and optimize machine learning and artificial intelligence algorithms for automotive applications.
• Analyze and process large volumes of data from various sources to improve vehicle performance, safety, and user experience.
• Collaborate with cross-functional teams, including software, hardware, and vehicle engineering, to deliver end-to-end AI solutions.
• Evaluate and recommend cutting-edge tools, frameworks, and technologies to improve the development and deployment process.
• Maintain and improve existing AI models and algorithms to ensure their accuracy, efficiency, and adaptability.
• Conduct research on emerging trends and advancements in AI and machine learning in the automotive domain.

Skills -

• Strong programming skills in Python, with experience in using machine learning libraries such as TensorFlow, PyTorch, scikit-learn.
• Proficiency in handling and processing large datasets using tools like Pandas, NumPy, and SQL.
• Experience with computer vision libraries and frameworks, such as OpenCV, PIL, or Image AI.
• Familiarity with natural language processing (NLP) techniques and libraries, such as NLTK, SpaCy, or BERT.
• Understanding of automotive systems, including ADAS, infotainment, and vehicle control systems.
• Proficient in data visualization tools, such as Matplotlib, Seaborn, or Tableau, to analyze and present data insights.
• Strong problem-solving and analytical skills, with the ability to design and implement innovative AI solutions.
• Excellent communication and teamwork skills, with the ability to work effectively in cross-functional teams.
• Familiarity with agile software development methodologies, such as Scrum or Kanban, and version control systems like Git.

Job Responsibility:

• Design and develop AI and machine learning models, focusing on areas such as computer vision, natural language processing, predictive analytics, and vehicle control systems.
• Train, validate, and fine-tune machine learning models using appropriate datasets and performance metrics.
• Implement and optimize AI algorithms for real-time, resource-constrained automotive applications.
• Collaborate with data scientists and engineers to develop data pipelines for training and deploying machine learning models.
• Ensure compliance with industry standards, best practices, and regulatory requirements related to AI and machine learning in the automotive domain.
• Participate in code and design reviews, providing constructive feedback and contributing to the continuous improvement of the team's work.
• Document and present technical findings, recommendations, and project progress to both technical and non-technical stakeholders.
• Stay up-to-date with the latest advancements in AI, machine learning, and automotive technologies, and contribute to the company's research and development efforts.