Engineer AIML

ALTEN India

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.

How to apply

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