Associate AI Engineer (Mumbai)

25 Aug

Important Group

Mumbai

25 Aug

Important Group

Mumbai

Requirements

- Pipeline Development: Build and maintain scalable, robust ETL/ELT pipelines for AI/ML workloads using tools like Spark, Kafka, and Airflow.

- AI Infrastructure Management: Create and manage data storage and ingestion systems to support model training and real -time inference.

- Data Quality & Preprocessing:

Ensure data accuracy, consistency, and cleanliness, transforming raw data into structured formats suitable for ML algorithms

- Model Integration & Deployment: Collaborate with data scientists to turn machine learning models into operational APIs or microservices.

- Collaboration & Optimization: Work with cross -functional teams to automate infrastructure and optimize data workflows.

Required Skills and Qualifications

- Programming Languages: Robust proficiency in Python, SQL, and sometimes Java or Scala.

- Data Engineering Tools: Experience with cloud platforms (AWS, Azure, GCP), Databricks, and data lakes.

- Machine Learning Knowledge: Understanding of ML frameworks like TensorFlow, PyTorch, or Scikit -learn.

- Big Data Technologies: Proficiency in distributed computing technologies.

- Education: A degree in Computer Science, Data Engineering, or a related field is typically required.

Benefits

- Pipeline Development: Build and maintain scalable, robust ETL/ELT pipelines for AI/ML workloads using tools like Spark, Kafka, and Airflow.

- AI Infrastructure Management: Create and manage data storage and ingestion systems to support model training and real -time inference.

- Data Quality & Preprocessing:

Ensure data accuracy, consistency, and cleanliness, transforming raw data into structured formats suitable for ML algorithms

.

- Model Integration & Deployment: Collaborate with data scientists to turn machine learning models into operational APIs or microservices.

- Collaboration & Optimization: Work with cross -functional teams to automate infrastructure and optimize data workflows.

Required Skills and Qualifications

- Programming Languages: Strong proficiency in Python, SQL, and sometimes Java or Scala.

- Data Engineering Tools: Experience with cloud platforms (AWS, Azure, GCP), Databricks, and data lakes.

- Machine Learning Knowledge: Understanding of ML frameworks like TensorFlow, PyTorch, or Scikit -learn.

- Big Data Technologies: Proficiency in distributed computing technologies.

- Education: A degree in Computer Science, Data Engineering, or a related field is typically required.

📌 Associate AI Engineer (Mumbai)
🏢 Important Group
📍 Mumbai

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