Data Architect – AI/ML, Data Engineering & Analytics

Company Overview

Company details are not provided.

Job Summary

The Data Architect for AI/ML, Data Engineering & Analytics is responsible for designing and implementing scalable data architectures that meet the analytical needs of the organization. This role will focus on creating data pipelines and integrating machine learning solutions into the data infrastructure while ensuring data quality and accessibility.

Responsibilities

• Design and implement robust data architectures tailored for AI/ML and analytics.
• Develop and optimize ETL/ELT processes for effective data integration and management.
• Work with machine learning frameworks (e.g., TensorFlow, PyTorch) to support model development and deployment.
• Collaborate with data engineering teams to enhance data models and improve data accessibility for analytics and reporting.
• Utilize NLP libraries (e.g., spaCy, Hugging Face) and GenAI tools (e.g., LangChain, LLMs) to facilitate advanced analytics and AI-driven insights.
• Ensure adherence to data governance standards and best practices.

Qualifications

• Proficient in Core Python and SQL for data manipulation and querying.
• Experienced with ETL/ELT processes to streamline data integration.
• Familiarity with machine learning frameworks such as TensorFlow and PyTorch.
• Knowledge of NLP libraries (e.g., spaCy, Hugging Face) for processing and analyzing natural language data.
• Experience with GenAI tools (e.g., LangChain, LLMs) for leveraging generative AI in data projects.
• Strong analytical and problem-solving skills.
• Excellent communication and collaboration abilities.

Preferred Skills

• Experience in cloud platforms (e.g., AWS, Azure) for data storage and processing.
• Knowledge of big data technologies (e.g., Hadoop, Spark) is a plus.
• Familiarity with containerization technologies (e.g., Docker) and orchestration tools (e.g., Kubernetes).

Experience

• Minimum of 12+ years of experience in data architecture, engineering, or related fields.

Environment

• Hybrid work model requiring 3 days in-office in Gurugram.

Salary

Salary details are not provided.

Growth Opportunities

Career advancement opportunities are not detailed.

Benefits

Benefits details are not provided.