SEO Specialist

CLOUDSUFI is a Data Science and Product Engineering organization building Products and Solutions for Technology and Enterprise industries. We firmly believe in the power of data to transform businesses and make better decisions. We combine unmatched experience in business processes with cutting edge infrastructure and cloud services. We partner with our customers to monetize their data and make enterprise data dance. 

Job type - Fulltime / Contract

Summary

We are looking for a Senior MLOps Engineer to support the AI CoE in building and scaling machine learning operations. This position requires both strategic oversight and direct involvement in MLOps infrastructure design, automation, and optimization. The person will lead a team while collaborating with various stakeholders to manage machine learning pipelines and model deployments in GCP / AWS / Azure. One of key parts of this role would also be managing data and models using data cataloging tools, ensuring that they are well- documented, versioned, and accessible for reuse and auditing.

Job Description:

⮚ Deploy models to production in GCP and own the model maintenance, monitoring and support activities

⮚ Split time between high-level strategy and hands-on technical implementation

⮚ Architect, build, and maintain scalable MLOps pipelines, with a focus on GCP / AWS / Azure services such as Vertex AI, GKE, Cloud Storage, and Big Query; stay up-to-date with the latest trends and advancements in MLOps

⮚ Implement and optimize CI/CD pipelines for machine learning model deployment, ensuring minimal downtime and streamlined processes

⮚ Work closely with data scientists and data engineers to ensure efficient data processing pipelines, model training, testing, and deployment

⮚ Manage data catalog tools for model and dataset versioning, lineage tracking, and governance. Ensure that all models and datasets are properly documented and discoverable

⮚ Develop automated systems for model monitoring, logging, and performance tracking in production environments

⮚ Lead the integration of data cataloging tools (e.g., Open MetaData), ensuring the traceability and versioning of both datasets and models.

Required Experience:

⮚ Bachelor’s degree in Computer Science, Engineering or similar quantitative disciplines

⮚ 4+ years of professional experience in MLOps or similar roles

⮚ Candidate should be able to able to write code in ML

⮚ Excellent analytical and problem-solving skills for technical challenges related to MLOps

⮚ Excellent English proficiency, presentation, and communication skills ⮚ Proven experience in deploying, monitoring, and managing machine learning models on GCP / AWS / Azure

⮚ Hands-on experience with data catalog tools

⮚ Expert in GCP / AWS / Azure services such as Vertex AI, GKE, BigQuery, and Cloud Build, Endpoint etc for building scalable ML infrastructure (GCP / AWS / Azure official Certifications are a huge plus) ⮚ Experience with model serving frameworks (e.g., TensorFlow Serving, TorchServe), and MLOps tools like Kubeflow, MLflow, or TFX

Job Description

We are looking for anmobile iOS developer. The ideal candidate needs to be able to hit the ground running in our fast-paced environment, and be comfortable to iterate quickly and push new code every day.

Responsibilities

• Design, develop, test, deploy, maintain and improve software and processes
• Integration with a number of third-party services
• Write high quality, high-performing and well-tested code
• Turn design requirements and prototypes into a working app
• Work closely with the technology and design teams
• Excellent communication, collaboration, and documentation

• Highly motivated, adaptable and passionate learner with a strong work ethic ethic

Requirements

• Proficiency with Objective-C and Swift

• Deep knowledge of the iOS SDK, OO, data modelling, design patterns, TDD/BDD, JSON/RESTful APIs, clean code and UX

• Analysis, profiling and optimization techniques
• Agile methodology

Roles and responsibilities:

1. Responsible for development and maintenance of applications with technologies involving Enterprise Java and Distributed  technologies.
2. Experience in Hadoop, Kafka, Spark, Elastic Search, SQL, Kibana, Python, experience w/ machine learning and Analytics     etc.
3. Collaborate with developers, product manager, business analysts and business users in conceptualizing, estimating and developing new software applications and enhancements..
4. Collaborate with QA team to define test cases, metrics, and resolve questions about test results.
5. Assist in the design and implementation process for new products, research and create POC for possible solutions.
6. Develop components based on business and/or application requirements
7. Create unit tests in accordance with team policies & procedures
8. Advise, and mentor team members in specialized technical areas as well as fulfill administrative duties as defined by support process
9. Work with cross-functional teams during crisis to address and resolve complex incidents and problems in addition to assessment, analysis, and resolution of cross-functional issues.