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Umanist NA
AI/ML Engineer – AI, CI/CD & BigQuery
Umanist NA
Chennai•On-site•Salary•6-9 Yrs•6 days ago
Job description
AI/ML EngineerBigQueryCloud-Native
Overview
An experienced AI/ML Engineer to design and develop intelligent applications, cognitive solutions, and advanced machine learning models that solve complex business problems. Strong expertise in AI/ML, BigQuery, CI/CD, cloud-native technologies, and modern software engineering practices.
Responsibilities
- Analyze business requirements and translate them into AI/ML models and intelligent solutions
- Design, build, and deploy AI-driven applications using structured and unstructured data
- Develop predictive models, automation workflows, and intelligent data processing solutions
- Perform large-scale data analysis, experimentation, and model optimization
- Research and evaluate emerging AI technologies and recommend improvements
- Collaborate with engineering, product, and business teams to deliver scalable AI solutions
- Ensure high standards for code quality, security, and software delivery
Qualifications
- 5+ years of experience in AI/ML, Software Engineering, or Platform Engineering
- Strong hands-on experience with Google BigQuery
- Experience developing and consuming APIs
- Strong expertise in CI/CD pipelines and automation
- Hands-on experience with GitHub, GitHub Actions, and scripting
- Experience using AI-powered developer tools for code generation, code review, and productivity improvements
- Good understanding of DevSecOps and software delivery automation
- Proficiency in Java and Spring Boot
- Experience with cloud-native platforms, containers, and Kubernetes
- Strong understanding of Agile development methodologies
- Excellent analytical, problem-solving, and communication skills
- Ability to work effectively with cross-functional teams and stakeholders
Nice to have
- Experience with AI-enabled developer platforms and engineering tools
- Experience in cloud migration and modernization initiatives
- Strong knowledge of DevSecOps practices
- Experience with container platforms and enterprise application environments
- Familiarity with Linux environments
- AI/ML certifications
- Knowledge of governance, compliance, security standards, and process automation