Data Automation and Analyst Intern

Review Criteria:

• Strong MLOps profile
• 8+ years of DevOps experience and 4+ years in MLOps / ML pipeline automation and production deployments
• 4+ years hands-on experience in Apache Airflow / MWAA managing workflow orchestration in production
• 4+ years hands-on experience in Apache Spark (EMR / Glue / managed or self-hosted) for distributed computation
• Must have strong hands-on experience across key AWS services including EKS/ECS/Fargate, Lambda, Kinesis, Athena/Redshift, S3, and CloudWatch
• Must have hands-on Python for pipeline & automation development
• 4+ years of experience in AWS cloud, with recent companies
• (Company) - Product companies preferred; Exception for service company candidates with strong MLOps + AWS depth

Preferred:

• Hands-on in Docker deployments for ML workflows on EKS / ECS
• Experience with ML observability (data drift / model drift / performance monitoring / alerting) using CloudWatch / Grafana / Prometheus / OpenSearch.
• Experience with CI / CD / CT using GitHub Actions / Jenkins.
• Experience with JupyterHub/Notebooks, Linux, scripting, and metadata tracking for ML lifecycle.
• Understanding of ML frameworks (TensorFlow / PyTorch) for deployment scenarios.

Job Specific Criteria:

• CV Attachment is mandatory
• Please provide CTC Breakup (Fixed + Variable)?
• Are you okay for F2F round?
• Have candidate filled the google form?

Role & Responsibilities:

We are looking for a Senior MLOps Engineer with 8+ years of experience building and managing production-grade ML platforms and pipelines. The ideal candidate will have strong expertise across AWS, Airflow/MWAA, Apache Spark, Kubernetes (EKS), and automation of ML lifecycle workflows. You will work closely with data science, data engineering, and platform teams to operationalize and scale ML models in production.

Key Responsibilities:

• Design and manage cloud-native ML platforms supporting training, inference, and model lifecycle automation.
• Build ML/ETL pipelines using Apache Airflow / AWS MWAA and distributed data workflows using Apache Spark (EMR/Glue).
• Containerize and deploy ML workloads using Docker, EKS, ECS/Fargate, and Lambda.
• Develop CI/CT/CD pipelines integrating model validation, automated training, testing, and deployment.
• Implement ML observability: model drift, data drift, performance monitoring, and alerting using CloudWatch, Grafana, Prometheus.
• Ensure data governance, versioning, metadata tracking, reproducibility, and secure data pipelines.
• Collaborate with data scientists to productionize notebooks, experiments, and model deployments.

Ideal Candidate:

• 8+ years in MLOps/DevOps with strong ML pipeline experience.
• Strong hands-on experience with AWS:
• Compute/Orchestration: EKS, ECS, EC2, Lambda
• Data: EMR, Glue, S3, Redshift, RDS, Athena, Kinesis
• Workflow: MWAA/Airflow, Step Functions
• Monitoring: CloudWatch, OpenSearch, Grafana
• Strong Python skills and familiarity with ML frameworks (TensorFlow/PyTorch/Scikit-learn).
• Expertise with Docker, Kubernetes, Git, CI/CD tools (GitHub Actions/Jenkins).
• Strong Linux, scripting, and troubleshooting skills.
• Experience enabling reproducible ML environments using Jupyter Hub and containerized development workflows.

Education:

• Master’s degree in computer science, Machine Learning, Data Engineering, or related field. 

Key Responsibilities:

1. Design marketing creatives for social media, websites, emailers, and WhatsApp campaigns
2. Create offline collaterals including posters, brochures, flyers, standees, and presentations
3. Ensure brand consistency across all digital and print assets
4. Translate marketing briefs into clear, effective visual concepts
5. Adapt creatives for multiple formats, platforms, and campaign requirements
6. Manage parallel design requests while meeting timelines

Must Have's

1. 1–3 years of professional graphic design experience
2. Proficiency in Adobe Photoshop, Illustrator, and InDesign
3. Strong understanding of typography, layout, and color theory

Share your updated resume along with Portfolio on hitanya@ zohomail.in

What you need to have:

• Strong experience in WooCommerce – Able to create easy and complex plugins, shortcodes, and widgets
• Exposure to a minimum of 3 e-commerce projects (starting with requirement gathering).
• Expert in WordPress, and other CMS platforms.
• Should have experience of working on large projects involving 10,000+ products.
• Experience in developing E-Commerce websites.
• Strong knowledge in WordPress Plugin, and PHP.
• Must have experience of building User Interfaces and Prototypes.
• Experience designing and developing responsive design websites.
• Comfortable working with debugging tools like Firebug, Chrome inspector, etc.
• Good with third-party integrations to CRM, ERP, etc.
• Knowledge of code versioning tools including Git and Bitbucket.
• Strong Experience in MySQL and Database Queries.

Experience: 2 to 5 years

Annual CTC: Rupees 4,00,000 to 6,00,000

1. To ANALYZE Business Requirements end-to-end & Documenting Requirements
2. Write Good User Stories (Preferably using INVEST techniques)
3. Specify acceptance criteria for features and user stories to ensure delivery of requirements that meet or exceed the business needs 
4. Create wireframe prototypes, Mockups and documenting them using Visio or similar tools
5. Document requirements by creating use cases, functional and requirement specifications documents
6. Collaborate with internal teams to ensure proper documentation of the product capabilities
7. Own the Product backlog, elaborating and prioritizing user stories to be included in the backlog 
8. Presenting the product capabilities, gathering requirements and identifying gaps 
9. Interface with clients and partners to understand business environments, current and future requirements; participate as a solutions expert
10. Roadmap prioritization, conceptualize new product features, and assist with competitive positioning

Requirements:-

• Excellent organizational skills.
• Customer service attitude.
• Professional attitude and appearance.
• Solid written and verbal communication skills.
• Proven work experience as a Receptionist, Front Office Representative or similar role.
• Direct visitors to the appropriate person and office.
• Answer, screen and forward incoming phone calls.
• Provide basic and accurate information in-person and via phone/email.
• Maintain office security by following safety procedures and controlling access via the reception desk.