PRIMARY PURPOSE
As part of a highly productive and creative AI (NLP) analytics team, architect and develop NLP pipelines, tune and host models, implement robust continuous testing and maintenance of ML pipelines, and own MLOps
As part of a highly productive and creative AI (NLP) analytics team, architect and develop NLP pipelines, tune and host models, implement robust continuous testing and maintenance of ML pipelines, and own MLOps
DAILY GRIND
Interface with data scientists, project managers, and the engineering team to achieve sprint goals on the product roadmap, guide ML Engineers, tech solutions
Interface with data scientists, project managers, and the engineering team to achieve sprint goals on the product roadmap, guide ML Engineers, tech solutions
CAREER PROGRESSION
ML Architect, Product Manager
ML Architect, Product Manager
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