Data Analytics AIML

2 weeks ago

Pune, Maharashtra, India Tata Technologies Full time

Location - PuneExperience - 3 to 6 YearsQualification - B.E / B TechJob Description: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.

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