About the job
Job Location
Mumbai
Job Description
Job Description
- Partners with data scientists, data managers, analysts, infrastructure engineers and peer AI Engineers to develop, operationalize, integrate, and scale new algorithmic products.
- Engages in proof of concepts and experiments to evaluate new models and technology.
- Develops high quality, standard-compliant and tested code. Refactors code of others as necessary.
- Contributes code and tools to central re-usable libraries and repositories.
- Develops data models, model features, data quality tests, ETL/ELT pipelines, and distributed compute architectures.
- Deploys algorithmic products across the clouds, skilfully leveraging cloud-native services. Manages and automates cloud resources (IaC).
- Implements DevOps, DataOps and MLOps principles in day-to-day work. Develops continuous integration, delivery, and training pipelines.
- Leverages observability and automation tools to manage operations of algorithmic products across the stack.
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Qualifications
Job Qualifications
- A Bachelors or Master’s degree in Computer Science, Software Engineering or related field
- 4+ years of proven experience in Python & Pyspark, data modelling, design, development, and deployment of Data and Analytics products
- Demonstrated engineering experience in operationalizing, integrating, and scaling up algorithmic products
- Experience in writing python production-level code and code patterns
- Experience in MLOps, DevOps, or software engineering, with a specialisation in machine learning
- Demonstrated experience in building and managing machine learning pipelines
- Strong background in containerization and orchestration technologies (Docker, Kubernetes)
- Experience in Agile, CI/CD and DEVOPS methodologies – knowledge of using appropriate tools – e.g. Jira, GitHub Actions, unit testing & mocking, static code analysis (e.g. Sonarqube), source control management tools (e.g. GitHub)
- GCP/Azure cloud computing knowledge and services related to machine learning and large-scale computing
- Understand best practices for data security, privacy and compliance in the context of AI
- Strong written and verbal communication in English
Preferred skills:
- Experience with AI / ML products and deployment of products to production (such as Azure Machine Learning and Databricks)
- Experience in monitoring and logging ML models
- Knowledge and experience in machine learning algorithms development
- Experience with source control management tools (GitHub)
- Desire to write testable code, and the test coverage to go along with it
- CI/CD tools knowledge and experience, familiar working in a DevOps environment
- Strong problem-solving skills paired with experience in programming, such as Python
- Ability to communicate technical concepts to teammates and non-technical colleagues
Nice to have:
- K8 and connected technologies (Helm, Kustomize.io, etc.) knowledge
- Infrastructure build tools and languages knowledge – Terraform, Ansible
Logging and monitoring technologies knowledge (depending on the needs, from Logstash to Grafana, Kibana, fluentd)
Job Schedule
Full time
Job Number
R000114606
Job Segmentation
Experienced Professionals (Job Segmentation)
