2 дня назад
Advanced Engineer-Data Engineer (AI/ML)
Мэтч & Сопровод
Для мэтча с этой вакансией нужен Plus
Описание вакансии
Текст:
TL;DR
Advanced Engineer-Data Engineer (AI/ML): Designing and maintaining large-scale data pipelines and infrastructure for AI/ML models with an accent on data quality, security, governance, and processing efficiency. Focus on deploying and monitoring ML models, optimizing storage and performance, and supporting data science and engineering teams with cloud and distributed data technologies.
Location: Bangalore, Kalyani Platina; onsite five days a week
Company
Develops automotive, lifestyle, and digital transformation technologies, including in-vehicle infotainment, safety, efficiency, and integrated technology platforms.
What you will do
- Design and implement large-scale data pipelines for AI/ML models.
- Build and maintain data infrastructure for data science and engineering teams.
- Collaborate with data scientists to deploy and monitor machine learning models.
- Optimize data storage and processing for performance and cost efficiency.
- Ensure data quality, security, and governance across data systems.
Requirements
- 6–9 years of experience in data engineering with an AI/ML focus.
- Strong expertise in Python, SQL, Hadoop, Spark, and large-scale data systems.
- Experience with TensorFlow, PyTorch, and ML model deployment.
- Familiarity with AWS, GCP, Azure, and modern data tools.
- Bachelor’s degree in Computer Science or a related field, with strong problem-solving skills and attention to detail.
- Ability to work onsite in Bangalore five days a week.
Nice to have
- Experience with deep learning, NLP, or computer vision.
- Familiarity with DevOps, CI/CD, and automation.
- Knowledge of Tableau or Power BI.
Culture & Benefits
- Permanent employment with a competitive salary and benefits package.
- Opportunities for professional growth, training, continuing education, and development.
- Collaborative work environment with in-person collaboration.
- Access to cutting-edge technologies and tools.
- Recognition and rewards for outstanding performance.
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