Data Engineer

Sutherland; Bengaluru; On-site; INR 2,500,000 - 3,800,000; Full time

Job summary

Sutherland is seeking an experienced AI and Data Science Engineer to design, develop, and deploy scalable AI-driven applications and data pipelines. The role focuses on integrating predictive analytics into enterprise systems, with strong emphasis on Java programming and SQL-based data management.

You will build AI/ML models using Python frameworks, work with NLP and CV projects, develop data ingestion and analytics pipelines, and collaborate with DevOps to deploy models into production.

Qualifications

• 5–8 years of experience in AI/Data Science engineering.

Responsibilities

• Design, develop, and deploy scalable AI-driven applications and data pipelines.

Education

Bachelor's or Master's degree in Computer Science, Data Science, or Artificial Intelligence

Tools

Java

Python

SQL

MySQL

PostgreSQL

Oracle

TensorFlow

Keras

PyTorch

Scikit-learn

NLP

Computer Vision

Power BI

Tableau

Matplotlib

Spark

Hadoop

Kafka

MLflow

Kubeflow

Docker

AWS

Azure

GCP

Job description

We are seeking an experienced AI and Data Science Engineer with a solid foundation in Java programming and SQL-based data management. The ideal candidate will design, develop, and deploy scalable AI-driven applications and data pipelines, integrating predictive analytics into enterprise systems.

Design & Develop AI/ML Solutions

• Build and deploy predictive and prescriptive models using Python, TensorFlow, PyTorch, or similar frameworks.
• Work on NLP, computer vision, recommendation systems, or other applied AI projects.

Data Engineering & Analytics

• Develop and optimize data ingestion, transformation, and analysis pipelines.
• Use SQL and Java to process, clean, and analyze large structured/unstructured datasets.
• Integrate data-driven models into enterprise applications.

Software Development

• Build backend components and APIs using Java (Spring Boot or similar frameworks).
• Collaborate with DevOps teams to deploy models into production environments.

Business Problem Solving

• Work closely with business teams to understand objectives and translate them into AI/ML solutions.
• Generate insights from data to support data-driven decision-making.

Performance Optimization & Monitoring

• Tune model accuracy and application performance.
• Automate model retraining and monitoring pipelines.

Experience Required

• 5 to 8 years

Education

• Bachelors or Masters degree in Computer Science, Data Science, Artificial Intelligence, or a related field.

Core Technical Skills

• AI / ML: Scikit-learn, TensorFlow, Keras, PyTorch, NLP frameworks.
• Programming: Strong in Java, good proficiency in Python and SQL.
• Data Handling: Experience with relational databases (MySQL, PostgreSQL, Oracle) and data visualization tools (Power BI, Tableau, or Matplotlib).
• APIs & Integration: RESTful API development and integration of ML models with Java applications.
• Big Data (Optional but Preferred): Exposure to Spark, Hadoop, or Kafka.

Soft Skills

• Strong problem-solving and analytical thinking.
• Excellent communication and teamwork skills.
• Ability to mentor junior team members and collaborate in cross-functional teams.

Preferred Experience

• Experience in AI project lifecycle and data preparation, model building, deployment, and monitoring.
• Experience with MLOps tools (MLflow, Kubeflow, Docker, etc.).
• Familiarity with cloud platforms like AWS, Azure, or GCP.
• Experience working in Agile environments.