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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Job Qualifications

Qualifications

A Bachelors or Master’s degree in Computer Science, Software Engineering or related field4+ years of proven experience in Python & Pyspark, data modelling, design, development, and deployment of Data and Analytics productsDemonstrated engineering experience in operationalizing, integrating, and scaling up algorithmic productsExperience in writing python production-level code and code patternsExperience in MLOps, DevOps, or software engineering, with a specialisation in machine learningDemonstrated experience in building and managing machine learning pipelinesStrong 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 computingUnderstand best practices for data security, privacy and compliance in the context of AIStrong 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 modelsKnowledge and experience in machine learning algorithms developmentExperience with source control management tools (GitHub)Desire to write testable code, and the test coverage to go along with itCI/CD tools knowledge and experience, familiar working in a DevOps environmentStrong problem-solving skills paired with experience in programming, such as PythonAbility to communicate technical concepts to teammates and non-technical colleagues

Nice to have:

K8 and connected technologies (Helm, Kustomize.io, etc.) knowledgeInfrastructure 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)