Senior Machine Learning Software Developer
4 weeks ago
Job Summary:
We are seeking a highly skilled Senior Machine Learning Software Developer to join our team at IPL Labcorp Laboratories India Private Limited. The ideal candidate will be responsible for designing, developing, and deploying machine learning models and pipelines, as well as integrating various tools and platforms to streamline our MLOps and DevOps processes.
Key Responsibilities:
- Develop and maintain CI/CD pipelines using Jenkins for automated builds, tests, and deployments.
- Implement and manage MLOps practices to streamline the development and deployment of machine learning models.
- Develop infrastructure as code using Terraform to automate the provisioning and management of AWS resources.
- Work with DevOps to define requirements for internal Terraform modules
- Manage and execute code deployments across different environments.
- Ensure robust and efficient deployment processes to minimize downtime and maximize reliability.
- Utilize AWS services including S3, API Gateway, Lambda, and others to build and maintain scalable and secure machine learning applications.
- Monitor and manage AWS resources to ensure optimal performance and cost-efficiency.
- Integrate Brinqa, Vercode, Sonarcube and others with various tools and platforms to enhance the security and compliance of our machine learning pipelines.
- Ensure seamless data flow and interaction between security tools and other systems.
Requirements:
- Bachelor's or Master's degree in Computer Science, Engineering, or a related field.
- Minimum of 5 years of experience in software development with a focus on machine learning and DevOps.
- Proficiency in Python.Strong experience with AWS services (SageMaker, S3, API Gateway, Lambda, etc.).Hands-on experience with Terraform for infrastructure as code.Expertise in CI/CD tools, particularly Jenkins.Familiarity with Security scanning tools and security practices.Solid understanding of MLOps and DevOps principles.
What We Offer:
We are proud to be an Equal Opportunity Employer. We make employment decisions based on the needs of our business and the qualifications of the individual and do not discriminate based upon race, religion, color, national origin, gender (including pregnancy or other medical conditions/needs), family or parental status, marital, civil union or domestic partnership status, sexual orientation, gender identity, gender expression, personal appearance, age, veteran status, disability, genetic information, or any other legally protected characteristic.
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