Software Engineer Intern

💰 ₹50,400 - ₹80,640 (Est.) 📍 Mumbai 🕐 5 days ago

Job Description

We are looking for a passionate and driven data engineering intern to join our team. As a data engineering intern, you will work closely with our data scientists and software engineers to build and maintain our data infrastructure, ensuring that data flows seamlessly through our systems to deliver meaningful insights to our users.

Data Engineering Internship - Mobile and AI/ML experiences (Paid Internship)

Paid Internship w/ student stipend [only existing legal residents of India should apply as we won't be offering work visas at this point)
Onsite w/ hybrid work environment at our office in BKC, Mumbai, India

hushh is a well-funded AI first product and services startup (in stealth mode) based out of Kirkland, WA which is a suburb of Seattle, WA with international offices in Dubai, UAE and Chennai & Mumbai, India.

Our mission is making user data generally accessible and valuable for the user and all their trusted partners (developers) so their data starts helping them and turn their data into a real helpful asset for them. We're building a category defining service which we refer to as "Intelligence as a Service" for our users so the best AI Assistants of the world including chat

GPT, Google Assistant, Siri, Alexa, Bard etc. can all serve our users with their personal preferences and choices keeping their privacy and ownership top of mind.

We are seeking data engineering interns to join our team. The ideal candidate should have a hunger and passion to work on data and build helpful, joyful gaming experiences using the best AI/ML developer tooling available for mobile and web audiences. Picking up and learning new data technologies such as github copilot and using python, tensorflow, pytorch as well as the latest LLMs available would be available to you.

As a Data Engineering Intern at hushh, you will work with a team of experienced engineers and data scientists to build intelligent and scalable mobile applications.

Responsibilities:

Work with the data science team to identify and implement data pipelines for modeling and analysis.
Build and maintain scalable and reliable data infrastructure.
Collaborate with software engineers to integrate data-driven functionality into our products.
Develop data models and design schema for databases.
Optimize data performance and implement efficient data storage solutions.
Ensure data quality and consistency across all data sources.
Build and maintain data pipelines to extract, transform, and load data from various sources into our data infrastructure
Collaborate with data scientists and software engineers to implement AI and ML algorithms and models into our mobile applications
Implement and maintain data management and storage solutions for our mobile applications
Work closely with mobile developers to ensure seamless integration of AI and ML features into our mobile applications
Continuously improve and optimize our data infrastructure to ensure scalability and reliability
Stay up-to-date with the latest AI and ML developer tooling available, including Git Hub Copilot, Python, Tensor Flow, PyTorch, and the latest LLMs

Qualifications:

Currently pursuing a degree in Computer Science, Data Science, or related field
Strong programming skills in one or more of the following languages:
Python, Java, Swift, or Kotlin
Familiarity with data engineering tools and technologies such as Apache Spark, Hadoop, and SQL databases

Experience with AI and ML tooling and frameworks such as Tensor Flow, Keras, and Py Torch
Strong knowledge of data structures, algorithms, and software design.

Experience working with databases and data modeling.
Familiarity with ETL processes and data warehousing.
Passion for building helpful, joyful, and engaging experiences for mobile and web audiences
Hunger and passion to work on data and learn new technologies such as Git Hub Copilot and the latest LLMs
Strong problem-solving and analytical skills
Excellent communication and teamwork skills

Bonus points:

Experience working with big data technologies such as Hadoop, Spark, or Kafka.
Understanding of cloud computing and distributed systems.
Knowledge of data security and privacy best practices.

Compensation and

Benefits:

We offer a competitive salary, bonus, and equity package, as well as great benefits you'd expect from a seed-stage startup. We believe in investing in our team, so you'll have access to professional development opportunities, mentorship programs, and a supportive and collaborative work environment.

This is an exciting opportunity to gain hands-on experience in building and scaling intelligent mobile applications using the latest AI and ML developer tooling available. If you are a highly motivated individual who is passionate about data engineering, mobile application development, and creating personalized experiences that simplify and enhance people's lives, we encourage you to apply via

If you're passionate about creating magical experiences for users, and you have a hunger and passion for working with data and turning that…

💡 Quick Summary

Seeking a career-building opportunity? The Software Engineer Intern position is now open for candidates interested in the Software Developer Jobs sector. This role in Mumbai offers a professional environment and growth potential.

Requirement Snapshot: Candidates should possess basic communication skills, a proactive attitude, and the ability to work in a team. Experience in Software Developer Jobs is a plus.

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Job Details

Company Name: hushh.ai

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The expected salary for Software Engineer Intern in Mumbai is ₹50,400 - ₹80,640 (Est.) per month. Actual compensation may vary based on experience and negotiation.
No, Software Engineer Intern is an on-site position based in Mumbai. Candidates must be able to commute or relocate to this location.
Basic communication skills, a proactive attitude, and the ability to work in a team are required for Software Engineer Intern. Previous experience in Software Developer Jobs is a plus. Freshers may also apply depending on the employer's requirements.
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