Description

Design and implement scalable AI/ML systems and data architectures while owning end-to-end development of machine learning models and data pipelines.

This role is on-site.

Responsibilities

• Develop machine learning models using k-NN, Naive Bayes, SVM, Decision Forests, and Neural Networks.
• Implement Large Language Models (LLMs) and Graph Databases for complex data requirements.
• Manage ETL processes using SAS and Talend Open Studio.
• Build predictive, prescriptive, and sentiment analysis systems, including recommendation engines and anomaly detection.
• Design scalable modern data stores and architect data lakes for big dataset analytics.

Required Skills

• 15+ years of relevant IT working experience.
• Strong proficiency in Python, R, and PERL.
• Deep expertise in NLP techniques, alignment models, and classification methods.
• Extensive experience with SQL and NoSQL databases including MongoDB and Hadoop.
• Hands-on experience with big data analytics and non-structured databases.
• Proficiency in business intelligence tools such as Tableau, Qlik, SAS, SAP, and GoodData.
• Expertise in modeling tools using UML, BPMN, use case diagrams, and entity relationship models.

Preferred Skills

• Solid understanding of software development methodologies like Agile and RUP.

Key Skills

Education

Any Gradute