Data Engineer for AI/ML

4 weeks ago

delhi, India Dhira Full time
Role:
Data Engineer for AI/MLExperience Required:
6+ years
We’re looking for a true data craftsman who can dexterously navigate the worlds of raw data engineering and refined machine learning pipelines.You’re not the average “ETL engineer” who relies on pre-packaged tools like Informatica or Talend. You are a solid programmer, fluent in Python, and an artist with Py Spark, weaving together data flows that don’t just function—they perform.
Responsibilities:• Develop and maintain APIs using Flask and FastAPI frameworks to support AI/ML services, including data access, transformation, and integration with Large Language Models (LLMs).• Design and implement ETL processes to manage data pipelines and build Data Warehouses (DW) for efficient data storage and retrieval.• Work on integrating LLMs with API services, ensuring secure and efficient data flow and model interaction.• Develop APIs abstracting and concealing LLM functionality, providing a seamless interface for applications to interact with AI/ML models.• Collaborate with database systems to handle data manipulation, storage, and retrieval, supporting API-driven machine learning workflows.• Optimize Python code for performance and security, ensuring robust and scalable API deployment.• Participate in cross-functional team discussions to align technical solutions with business objectives.• Stay abreast of advancements in AI, machine learning, and software development practices to suggest and implement improvements.• Research and develop new algorithms to improve AI system performance.• Collaborate with cross-functional teams to integrate AI models and technologies into scalable products.• Engineer solutions that are functional and optimized for performance, scalability, and maintainability.• Work on batch processing and real-time data streams using tools like Kafka or Flink.• Utilize cloud platforms (AWS, GCP, Azure) to manage data lakes and warehouses, optimize data engineering
workflows, and support the full lifecycle of machine learning pipelines.
Key Qualifications:• Strong proficiency in Python with 6 years of experience in developing APIs.• Expertise in Flask and FastAPI for API development.• Solid understanding of ETL processes, Data Warehousing, and working with relational databases such as PostgreSQL or MySQL.• Experience with integrating and managing Large Language Models (LLMs) and concealing their APIs behind custom-built services.• Knowledge of data transformation and access techniques to effectively feed AI/ML models.• Familiarity with machine learning development is advantageous but not essential.• Strong problem-solving skills with a focus on optimizing API performance and ensuring security.• Ability to work both independently and collaboratively within a team.• Effective communication skills to explain technical concepts clearly and concisely.• Experience with distributed data processing using PySpark.• Familiarity with cloud data services and orchestrators such as Airflow to automate data pipelines and workflows.• Hands-on experience with big data tools like Spark or Flink to manage large-scale data pipelines.• Cloud computing: Familiarity with cloud platforms such as AWS, Azure, or GCP.• Big data technologies: Experience with big data tools and technologies like Spark or similar.• Natural language processing (NLP): Knowledge of NLP techniques and applications.• Computer vision: Understanding of computer vision algorithms and applications.Desired Traits:• Strong problem-solving skills focusing on optimizing API performance and ensuring security.• Ability to work both independently and collaboratively within a team.• Effective communication skills to explain technical concepts clearly and concisely.• A deep curiosity to explore new data engineering challenges and continuously evolve your skills.• A commitment to building clean, modular, and maintainable code that delivers high-quality solutions.
Educational Background:Bachelor's degree in computer science, Information Technology, or a related field.

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