Python Developer

Job Description

At DeepIQ, we are building the world’s best {Data + AI} Ops platform for multi-modal data. Our platform helps some of the world’s largest enterprises generate insights from their telemetric (OT), geospatial and structured data. Our team includes leading experts in cloud and machine learning technologies with deep expertise in commercializing novel software and scaling high-growth companies. If you are passionate about deep learning and AI and enjoy writing production quality software, then we have the right job for you! We are committed to providing you an ideal work-life balance and a great place to do high quality work, learn new skills and grow in your career. Job Responsibilities Design agentic workflows and implement them using suitable LLM's. Research about latest trends and Tech in Gen AI space. Design and build software for large-scale data extraction and transformation from streaming, structured and unstructured data sources. Work closely with data scientists to develop and deploy data engineering and machine learning algorithms. Write python code to cleanse, manipulate and analyse large datasets including SQL/NoSQL databases, XMLs, JSON and PDF files Develop ETL workflows primarily using Python based software that satisfy identified business and data requirements. Follow set standards and best practices in ETL development. Refactor existing jobs that do not follow set standards. Provide guidance on ETL workflow implementation such as scheduling jobs, troubleshooting job errors, identifying issues in unusually long running jobs, etc. Skills Undergraduate or higher degree in Computer Science or related disciplines 2+ years of professional programming experience in Python for data processing and analysis Expertise in Python data packages (Pandas, Luigi, SQLAlchemy, etc) Strong SQL experience Experience with LLM's, OpenAI, Langchain and Langraph Experience with relational databases (Oracle/SQL server) and NoSQL databases (MongoDB) Experience in Apache Spark is a plus Experience with cloud-based EDW platforms like Snowflake, Redshift, BigQuery is a plus Show more Show less