Engineering Manager

InfoGrowth is looking for a skilled Android Automotive OS Developer with 7+ years of experience in the automotive domain to join our cutting-edge team! If you're passionate about integrating technology with automotive systems and developing next-gen in-car infotainment solutions, this is the role for you.

Key Responsibilities:

• Develop and maintain applications for Android Automotive Operating System (AAOS), the Android-based infotainment system built directly into vehicles.
• Collaborate with automotive partners to integrate and optimize Google Automotive Services (GAS), including Google Maps, Play Store, and Google Assistant.
• Leverage your knowledge of vehicle signals and communication protocols to ensure smooth integration and performance of in-car apps.
• Work closely with cross-functional teams to deliver high-quality infotainment solutions for next-generation vehicles.
• Troubleshoot and optimize Android applications for automotive-specific use cases.

Key Skills:

• 7+ years of experience in Android development, with hands-on experience in the automotive domain.
• Strong knowledge of Android Automotive OS (AAOS) and Google Automotive Services (GAS).
• Expertise in vehicle signals and communication protocols.
• Proven experience in developing apps for in-car infotainment systems.
• Ability to collaborate with automotive engineers, testers, and designers to develop seamless solutions.

Should be highly Technical and hands-on experience in Artificial Intelligence and Machine learning and Python. Managing the successful delivery of projects by efficient planning and coordination.

KEY RESPONSIBILITIES OF THE POSITION :

• Create Technical Design for AI, Machine Learning, Deep Learning, NLP, NLU, NLG projects and implement the same in production.
• Solid understanding and experience of deep learning architectures and algorithms
• Working experience with AWS, most importantly AWS SageMaker, Aurora or MongoDB, Analytics and reporting.
• Experience solving problems in the industry using deep learning methods such as recurrent neural networks (RNN, LSTM), convolutional neural nets, auto-encoders, etc.
• Should have experience of 2-3 production implementations of machine learning projects.
• Knowledge of open-source libraries such as Keras, Tensor Flow, Pytorch
• Work with business analysts/consultants and other necessary teams to create a strong solution
• Should have in-depth understanding and experience of Data Science and Machine Learning projects using Python, R, etc. Skills in Java/C are a plus
• Should developing solutions using python in AI/ML projects
• Should be able to train and build a team of technical developers
• Desired to have experience as leads in designing and developing applications/tools using Microsoft technologies - ASP.Net, C#, HTML5, MVC
• Desired to have knowledge on any of the cloud solutions such as Azure or AWS
• Desired to have knowledge on any of container technology such as Docker
• Should be able to build strong relationships with project stakeholders

Keywords:

• Python
• Artificial Intelligence
• Machine Learning
• AWS
• Django
• NLP

• Design, create, test, and maintain data pipeline architecture in collaboration with the Data Architect.
• Build the infrastructure required for extraction, transformation, and loading of data from a wide variety of data sources using Java, SQL, and Big Data technologies.
• Support the translation of data needs into technical system requirements. Support in building complex queries required by the product teams.
• Build data pipelines that clean, transform, and aggregate data from disparate sources
• Develop, maintain and optimize ETLs to increase data accuracy, data stability, data availability, and pipeline performance.
• Engage with Product Management and Business to deploy and monitor products/services on cloud platforms.
• Stay up-to-date with advances in data persistence and big data technologies and run pilots to design the data architecture to scale with the increased data sets of consumer experience.
• Handle data integration, consolidation, and reconciliation activities for digital consumer / medical products.

Job Qualifications:

• Bachelor’s or master's degree in Computer Science, Information management, Statistics or related field
• 5+ years of experience in the Consumer or Healthcare industry in an analytical role with a focus on building on data pipelines, querying data, analyzing, and clearly presenting analyses to members of the data science team.
• Technical expertise with data models, data mining.
• Hands-on Knowledge of programming languages in Java, Python, R, and Scala.
• Strong knowledge in Big data tools like the snowflake, AWS Redshift, Hadoop, map-reduce, etc.
• Having knowledge in tools like AWS Glue, S3, AWS EMR, Streaming data pipelines, Kafka/Kinesis is desirable.
• Hands-on knowledge in SQL and No-SQL database design.
• Having knowledge in CI/CD for the building and hosting of the solutions.
• Having AWS certification is an added advantage.
• Having Strong knowledge in visualization tools like Tableau, QlikView is an added advantage
• A team player capable of working and integrating across cross-functional teams for implementing project requirements. Experience in technical requirements gathering and documentation.
• Ability to work effectively and independently in a fast-paced agile environment with tight deadlines
• A flexible, pragmatic, and collaborative team player with the innate ability to engage with data architects, analysts, and scientists