Engineer AIML

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 environment.
• 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.