PRIMARY PURPOSE
As part of a highly productive and creative AI (NLP) analytics team, optimize algorithms/models for performance and scalability, engineer & implement machine learning algorithms into services and pipelines to be consumed at web-scale
As part of a highly productive and creative AI (NLP) analytics team, optimize algorithms/models for performance and scalability, engineer & implement machine learning algorithms into services and pipelines to be consumed at web-scale
DAILY GRIND
Interface with data scientists, project managers, and the engineering team to achieve sprint goals on the product roadmap, and ensure healthy models, endpoints, CI/CD
Interface with data scientists, project managers, and the engineering team to achieve sprint goals on the product roadmap, and ensure healthy models, endpoints, CI/CD
CAREER PROGRESSION
Senior ML Engineer, ML Architect
Senior ML Engineer, ML Architect
JOIN US TO EXPERIENCE
- A company which focuses on your career progression
- Exposure to artificial intelligence in research in multiple domains
- First-hand experience on the transformative impact of AI on business insights and market research
- Peek into the minds of leaders of Fortune 500 companies
- Experience work autonomy, ownership and trust
- Cross-functional opportunities in a transparent and collaborative work environment
YOU CAN EXPECT TO
- Work in a product-development company and independently authoring software products
- Guide junior programmers, setting up the architecture, and follow modular development approaches
- Write high-quality code in Python conforming to design patterns, OOPs, etc.
- Explore the full stack development skills in Python, Angular, Javascript, NoSQl or MongoDB
- Design and develop code and ensuring proper documentation
- Work towards the optimization of the application for maximum speed and scalability
- Work towards ensuring adherence to the best Information security and MLOps practices
- Work for new approaches to problems in research and develop
HARD & SOFT SKILLS
- Problem-solving abilities
- Extremely strong programming background – data structures and algorithm
- Advanced Machine Learning: TensorFlow, Keras
- spaCy, NLTK, Word2Vec, Graph databases, Knowledge-graph, BERT (derived models), Hyperparameter tuning
- Experience with OOPs and design patterns
- Exposure to RDBMS/NoSQL
- Test Driven Development Methodology
- Python, Angular, JavaScript, NoSQl or MongoDB. etc., (3 to 5 Years)
- Working in cloud-native environments (preferably Azure)
- Microservices
- Enterprise Design Patterns
- Microservices Architecture
- Distributed Systems