Location: Garuda Bhive, BTM 2nd Stage, Bengaluru
- End-to-End Model Development: Take ownership of the machine learning lifecycle, from data collection, preprocessing, and feature engineering to model training, validation, and deployment.
- Algorithm Implementation: Design, build, and deploy robust machine learning models using fundamental algorithms for regression, classification, clustering, and more.
- Cloud AI Implementation: Work extensively with state-of-the-art platforms, with a primary focus on Google Clouds Vertex AI , to build and scale AI solutions.
- Solution Deployment: Collaborate with cloud engineers to deploy, monitor, and maintain ML models in production environments, ensuring performance and reliability.
- Innovation and Research: Continuously research and experiment with new techniques, including in Deep Learning and Generative AI, to solve complex problems and drive innovation.
- Collaboration: Work closely with cross-functional teams, including data scientists and business analysts, to translate business needs into technical solutions.
Preferred Qualifications (Highly Desirable):
- Practical Experience: A portfolio of personal projects, participation in Kaggle competitions, or contributions to open-source ML projects.
- Cloud Familiarity: Prior exposure to a major cloud platform, with specific experience in Google Cloud (GCP) being a significant advantage.
- Internship Experience: Previous internships in a Data Science or Machine Learning role.
Requirements Essential Qualifications (Must-Haves):
- Educational Background: A Bachelors (B.Tech/B.E.) or Masters (M.Tech/M.E.) degree in Computer Science, Artificial Intelligence, Data Science, or a related quantitative field.
- Graduation Year: A recent graduate from the 2022 / 2023 / 2024 batch .
- Core ML Knowledge: A strong theoretical and practical understanding of fundamental Machine Learning concepts and the underlying mathematics.
- Programming Proficiency: Demonstrable proficiency in Python for data science and machine learning.
- Library Expertise: Hands-on experience with key ML and data manipulation libraries, such as Scikit-learn, Pandas, NumPy, and at least one deep learning framework like TensorFlow or PyTorch .
- Analytical Skills: Excellent problem-solving abilities with a logical and analytical mindset.
- Teamwork: Strong communication skills and the ability to work effectively in a collaborative environment.
Benefits What We Offer (Benefits Perks)
- Compensation Stipend: A competitive stipend of up to u20b925k Per Month .
- Professional Development: Full financial support and sponsorship for the Google Cloud Professional Machine Learning Engineer certification.
- Career Growth Mentorship: A clear career path with direct mentorship from senior data scientists and cloud architects in a rapidly growing company.
- Innovative Culture: An opportunity to be part of a dynamic team, recognized globally for its expertise in Vertex AI and Generative AI, working on high-impact, real-world projects.
- Work-Life Balance: A generous paid leave policy to ensure you have a healthy balance.
If you are a driven individual ready to build a career at the forefront of AI and cloud technology, we encourage you to apply and join us on our journey of enlightened exploration.
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