Senior Full-Stack Developer

• Lead the implementation of cutting-edge machine learning, AI-powered knowledge graphs, search, and databases and work with the team to create a global healthcare ecosystem.
• Ability to effectively design software architecture
• Actively direct the performance assessment, monitoring and recommending performance enhancements
• Work with the team to perform Infrastructure management
• Using natural language processing (NLP) technologies, such as machine learning algorithms, analyze text or speech data
• Review data to identify patterns or trends that can be used to improve business processes
• Design and develop new applications using artificial intelligence (AI) and machine learning technologies
• Analyze large amounts of data to identify patterns or trends to improve business processes

Job Requirements:

• Bachelor s/Master s degree in Engineering, Computer Science (or equivalent experience)
• A minimum of 2-4+ years of experience with graph databases
• At least 5+ years of experience with RDBMS (MySQL / PostgreSQL)
• At least 3-4+ years of experience with MERN stack
• A minimum of 3-4+ years of building data ingestion pipelines (Apache Airflow or AWS Glue)
• At least 2-3 years of experience with ElasticSearch
• Extensive experience in ElasticSearch, Kubernetes, Apache Lucene, and GraphQL
• Prolific experience in React, Python, NodeJS/Express, and Java/Kotlin/Spring
• Strong database experience in RDS, MySQL, and MongoDB
• Proven experience deploying machine learning models for large, complex tasks
• Knowledge of databases and visualization techniques
• Strong statistical analysis and predictive modeling skills
• Prior experience in Cloud deployment and management
• Experience with CI/CD management and deployment
• Strong organizational, leadership, and communication skills
• Experience with data structures and modeling
• Deep understanding of text representation techniques (such as n-grams, a bag of words, sentiment analysis, etc.), statistics and classification algorithms
• Knowledge of Python, Java, and R
• Ability to write robust and testable, and validated code
• Experience writing code for automated processes that can be used in a production environment
• Experience monitoring the performance of existing applications and identifying potential problems
• Experience developing, testing, and implementing algorithms to improve business processes
• Experience with machine learning frameworks (like Keras or PyTorch) and libraries (like scikit-learn)
• Nice to have experience in Neo4j
• Fluent in verbal and written English