Key Responsibilities

Develop and implement machine learning and deep learning models for various applications.
Collaborate with data engineers to design and optimize data pipelines.
Perform feature engineering to enhance model performance.
Ensure the production deployment of machine learning models with a focus on scalability and efficiency.
Leverage SQL and BigQuery for data extraction, transformation, and loading.
Utilize GCP services to deploy and manage machine learning solutions.
Integrate machine learning models into existing systems to improve performance.
Troubleshoot and resolve complex integration issues.
Maintain documentation for model development, deployment, and maintenance.
Participate in code reviews and contribute to the continuous improvement of development practices.

Qualification Criteria

Proven experience in ML/Deep Learning implementation.
Strong proficiency in Python, GCP, SQL, and JAVA.
Experience with production deployment and MLOps.
Knowledge of data pipelining and feature engineering.
Excellent integration and problem-solving skills.




Ability to work collaboratively in a fast-paced workplace.
Strong understanding of databases like SQL and BigQuery.
Familiarity with cloud services and deployment strategies.
Excellent communication skills to articulate technical concepts to non-technical stakeholders.
Experience with version control systems and CI/CD pipelines.

Primary Skills

Machine Learning
Python
SQL

Key Skills

GCP
Deep Learning
Java
MLOps
Data Pipelining
Feature Engineering
Integration
Problem-Solving
BigQuery
Cloud Services
CI/CD

Experience: 3-5 Years

Education: BE or Master in Mechanical or Relevant

Employment : Full Time

Location: Chennai (Chengalpattu)

Why Join ALTEN India?

Opportunity to work with leading global aerospace clients.
Dynamic, innovation-driven environment with exposure to cutting-edge technologies.
Continuous learning and career growth opportunities.
Inclusive and collaborative workplace culture.

📌 Engineer AIML (Chennai)
🏢 ALTEN India
📍 Chennai