Java/Python Engineer

2 weeks ago


Chennai, Tamil Nadu, India Objectways Full time
Job Title: Java/Python Engineer (AI/ML)

We are seeking an experienced Java/Python Engineer (AI/ML) to join our team. The ideal candidate will have strong expertise in AI/ML application development, database management, and CI/CD implementation.

Responsibilities:
  • Develop and implement AI/ML applications using Java and/or Python with industry-standard tools and frameworks.
  • Stay up to date with emerging trends and best practices in AI/ML, Java, and Python development.
  • Collaborate with data scientists and engineers to design, build, and optimize AI/ML solutions.
  • Conduct data analysis to identify patterns, trends, and insights that improve AI models.
  • Optimize and fine-tune AI models to enhance performance, accuracy, and efficiency.
  • Manage and work with RDBMS and NoSQL databases such as Oracle, MSSQL, PostgreSQL, MongoDB, and Cassandra.
  • Collaborate with product managers and stakeholders to translate business requirements into technical solutions.
  • Work with software engineers to integrate AI models into applications, ensuring scalability and reliability.
  • Conduct code reviews and follow best practices in software development.
  • Implement and manage CI/CD pipelines and work with Kafka for data streaming and processing.
  • Troubleshoot, optimize, and create scalable, reliable, and efficient AI-driven solutions.
Required Qualifications:
  • 6+ years of experience in software engineering, focusing on Java and Python.
  • Strong background in AI/ML model development, optimization, and deployment.
  • Hands-on experience with RDBMS & NoSQL databases (Oracle, MSSQL, PostgreSQL, MongoDB, Cassandra).
  • Experience with Kafka, CI/CD implementation, and cloud-based solutions.
  • Proven ability to troubleshoot, optimize, and innovate within AI/ML development.
  • Strong problem-solving skills and ability to work in a collaborative, fast-paced environment.
Preferred Qualifications:
  • Experience with REST APIs and microservices.
  • Knowledge of cloud computing environments (AWS, Azure, or GCP).
  • Familiarity with Docker, Kubernetes, or other containerization tools.

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