
Machine Learning Engineer
- Chennai, Tamil Nadu
- Permanent
- Full-time
What you'll doCapacity & Demand Data Modelling is driving advances in data science, analysis, and engineering at Viasat and looking for adeveloper who demonstrates curiosity, adaptability, and enjoys solving tough engineering problems. The team works withcustomers and stakeholders to help drive business value by building applications utilizing our data and machine learningplatforms. This task is an exciting challenge for building solutions starting with research and development following all theway through to engineering and deploying projects into production.
The day-to-dayYou will work on a production machine learning application that makes real-time revenue-affecting inferences for thebusiness. You will design and implement new features and enhancements to our machine learning application whileproviding ongoing support, monitoring, and maintenance of deployed products. Additionally, you will monitor emergingtechnologies and best practices for potential adoption within the Company.
What you'll need
- 5+ years of professional software development experience specialized in Machine Learning
- A degree in Computer Science, Computer Engineering, Software Engineering, Electrical Engineering, Math, Physics,or related field or equivalent work experience
- Strong communication and presentation skills
- Ability to work with data science and infrastructure teams to design, implement, and deploy machine learningproducts
- Proven team player with the ability to multi-task in a fast-paced dynamic agile work environment
- Advanced proficiency in Python & Machine Learning tools
- Ability to work with remote team members across time zones
- Travel up to 10%
- 5+ years of professional software development experience
- Strong system, software, and test background including both design and implementation
- Advanced proficiency in Python
- Strong understanding of probability, statistics, linear algebra, and calculus
- Experience with data cleaning, transformation, and feature engineering
- Experience with Machine Learning Libraries and Frameworks - TensorFlow and/or PyTorch|scikit-learn | Keras
- Knowledge of various machine learning algorithms – (Supervised (regression, classification), unsupervised (clustering,dimensionality reduction), and reinforcement learning etc).
- Familiarity with large language models (LLMs) like GPT-3, GPT-4, LaMDA, or similar architectures.
- Experience with productionized Machine Learning applications
- Knowledge of different data formats and sources (e.g., SQL databases, NoSQL databases, cloud storage)