15h Left: Data Engineer for AI/ML

6 days ago

Delhi, India Dhira Full time
Role: Data Engineer for AI/ML

Experience Required: 6+ years

You’re a pragmatic technologist fluent in Python, with a strong product development mindset. You take a hands-on approach to build optimized, scalable, and user-centric solutions, driving the product lifecycle from ideation to delivery, ensuring alignment with business goals and real-world challenges

Responsibilities:

API Development & Integration

- 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).- 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.- Work on integrating LLMs with API services, ensuring secure and efficient data flow and model interaction.- Optimize Python code for performance and security, ensuring robust and scalable API deployment.

AI/ML Product Development

- Collaborate with cross-functional product teams to design, develop, and deploy AI/ML-driven products that solve real-world business problems and drive customer value.- Ensure end-to-end product quality, including testing, debugging, and deploying new features in machine learning products.- Lead the architecture of functional and optimized solutions for performance, scalability, and maintainability in a product context.- Support product development efforts, including creating clear product roadmaps and user stories and collaborating closely with stakeholders to align solutions with business needs.

Cloud and Infrastructure Management

- Utilize cloud platforms (AWS, GCP, Azure) and on-premises infrastructure to identify and implement appropriate open-source and cloud solutions for optimizing data engineering workflows for AI/ML.- Work on batch processing and real-time data streams using tools like Kafka or Flink.- Collaborate with DevOps teams to ensure smooth product deployment and monitor performance in live environments.

AI/ML Model Development & Improvement

- Research and develop new algorithms to improve AI system performance.- Stay abreast of advancements in AI, machine learning, and software development practices to suggest and implement improvements.- Collaborate with cross-functional teams to integrate AI models and technologies into scalable products.

Collaboration & Cross-functional Engagement

- Participate in cross-functional team discussions to align technical solutions with business objectives.- Work closely with DevOps teams to ensure smooth product deployment and monitor performance in live environments.

Key Qualifications:

Core Technical Skills

- Strong proficiency in Python with 6 years of experience in developing APIs.- Expertise in Flask and Fast API for API development.- Experience integrating and managing Large Language Models (LLMs) and concealing their APIs behind custom-built services.- Proven experience in building, deploying and maintaining scale-based machine learning solutions.- Knowledge of data transformation and access techniques to feed AI/ML models effectively.- Strong problem-solving skills focusing on optimizing API performance and ensuring security.- Familiarity with machine learning development is advantageous but not essential.

Data Engineering & Cloud Skills

- Solid understanding of ETL processes, Data Warehousing, and working with relational databases such as PostgreSQL or MySQL.- 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.

AI/ML Knowledge & Application

- Natural language processing (NLP): Knowledge of NLP techniques and applications.- Computer vision: Understanding of computer vision algorithms and applications.

Product Development & Collaboration

- Experience in product development and working with teams to create scalable, reliable, and impactful data-driven products.- Ability to work both independently and collaboratively within a team.- Effective communication skills to explain technical concepts clearly and concisely.- Experience in using Agile methodologies to drive product development cycles efficiently.

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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