Digital Marketing

We are seeking an experienced MLOps Architect who can drive end-to-end implementation of the proposal being prepared for the initiative and also contribute broadly across other enterprise AI/ML programs. This role demands a strong architectural mindset, hands-on technical depth, and the ability to design scalable, cloud-native machine learning operations across traditional ML and modern LLM workflows.

The ideal candidate will bring experience with SageMaker-based MLOps pipelines, evaluation of equivalent tooling stacks, hybrid MLOps/LLMOps automation, CI/CD orchestration, governance, and production-grade scalability patterns.

Must have skills & Qualifications:

• 8+ years working in ML/AI engineering or MLOps roles with strong architecture exposure.
• Strong expertise in AWS cloud-native ML stack, including: SageMaker(primary), ECS, Lambda, API Gateway, CI/CD (CodeBuild/CodePipeline or equivalent)
• Hands-on experience with at least one major MLOps toolset and awareness of alternatives: MLflow, Kubeflow, SageMaker Pipelines, Airflow, BentoML, KServe, Seldon.
• Deep understanding of model lifecycle management (feature engineering->training -> registry -> deployment -> monitoring).
• Experience implementing or supporting LLMOps pipelines, including: prompt versioning, evaluation metrics, automation frameworks.
• Deep understanding of ML lifecycle: data ingestion, feature engineering, training, evaluation, model packaging, CI/CD, drift detection, monitoring, and governance.
• Strong experience with AWS SageMaker (Pipelines, Feature Store, Model Registry, Model Monitor).
• Experience implementing ML CI/CD pipelines including automated training, testing, validation, model promotion, and endpoint deployment.
• Strong SQL and data transformation experience using Snowflake, Databricks, Spark.
• Experience with feature engineering pipelines and Feature Store management.
• Understanding of lineage tracking: training data snapshot, feature versions, code versioning, metadata tracking, reproducibility.
• Hands-on experience with Bedrock, OpenAI, Anthropic, or Llama models.
• Experience with CloudWatch, SageMaker Model Monitor, Prometheus/Grafana.
• Strong foundation in Python and cloud-native development patterns.
• Solid understanding of security best practices, IAM, secrets management, and artifact governance.

Good to have skills:

• Experience with vector databases, RAG pipelines, or multi-agent AI systems.
• Exposure to DevOps and infrastructure-as-code (Terraform, Helm, CDK).
• Hands-on understanding of model drift detection, A/B testing, canary rollouts, and blue-green deployments.
• Familiarity with Observability stacks (Prometheus, Grafana, CloudWatch, OpenTelemetry).
• Knowledge of Lakehouse (Delta/Iceberg/Hudi) architecture.
• Ability to translate business goals into scalable AI/ML platform designs.
• Strong communication and cross-team collaboration skills.
• Ability to guide engineering teams through technical uncertainty and design choices.

Key Responsibilities:

• Architect and implement the MLOps strategy for the programme, ensuring alignment with the project proposal and delivery roadmap.
• Design and own enterprise-grade ML/LLM pipelines covering model training, validation, deployment, versioning, monitoring, and CI/CD automation.
• Build container-oriented ML platforms (EKS-first) while evaluating alternative orchestration tools with similar capabilities (Kubeflow, SageMaker, MLflow, Airflow, etc.).
• Implement hybrid MLOps + LLMOps workflows, including prompt/version governance, evaluation frameworks, and monitoring for LLM-based systems.
• Serve as a technical authority across multiple internal and customer projects, contributing architectural patterns, best practices, and reusable frameworks.
• Enable observability, monitoring, drift detection, lineage tracking, and auditability across ML/LLM systems.
• Collaborate with cross-functional teams — data engineering, platform, DevOps, and client stakeholders — to deliver production-ready ML solutions.
• Ensure all solutions adhere to security, governance, and compliance expectations, particularly around handling cloud services, Kubernetes workloads, and MLOps tools.
• Conduct architecture reviews, troubleshoot complex ML system issues, and guide teams through implementation across cloud-native ML platforms.
• Mentor engineers and provide guidance on modern MLOps tools, platform capabilities, and best practices. 

Position: Performance Marketing and CRM (Fashion/Luxury/Lifestyle) - female

Experience: 3-5 year

Location: Sector-54, Gurgaon

Industry” Luxury/Fashion/ Apparel

Key Responsibilities:

1. CRM & Customer Retention

·         Manage and segment customer data across Shopify, marketplaces (Amazon, Myntra, Tata CLiQ Luxury), and CRM platforms.

·         Execute email and WhatsApp campaigns — automation, A/B testing, personalization, and performance tracking.

·         Develop and manage loyalty, referral, and win-back programs to improve customer lifetime value (LTV).

·         Integrate and optimize AI Chatbots for personalized engagement and lead nurturing.

2. Performance Marketing (Meta, Google, YouTube)

·         Plan, execute, and optimize campaigns across Meta (Facebook/Instagram), Google Ads, and YouTube.

·         Collaborate with internal and external teams for audience segmentation, creative testing, UTM setup, and reporting.

·         Monitor and analyze KPIs including ROAS, CTR, CAC, and conversion rate, making data-backed optimization recommendations.

·         Test audience clusters for premium segmentation.

·         Align ad campaigns with CRM strategies to ensure consistent communication across channels.

3. Analytics & Reporting

·         Create integrated dashboards covering CRM and paid media performance.

·         Track key engagement metrics such as open rate, CTR, repeat purchase rate, and campaign ROI.

·         Provide insights to enhance customer journey mapping, funnel efficiency, and conversion pathways.

·         Present monthly performance summaries and improvement recommendations.

4. Cross-Functional Collaboration

·         Work with marketing, operations, and tech teams to synchronize CRM, automation, and digital marketing efforts.

·         Coordinate with agencies or vendors for campaign execution, data sync, and CRM tool integration.

·         Ensure brand consistency and premium positioning across all digital touchpoints.

Qualifications

·         Bachelor degree in Marketing, Business, or related field.

·         3–5 years of experience in CRM and/or Performance Marketing for premium or lifestyle brands.

·         Proficiency in CRM and automation tools (e.g., HubSpot, Brevo, Mailchimp, Zoho, Klaviyo).

·         Working knowledge of Meta Ads Manager, Google Ads, and YouTube Campaign Manager.

·         Strong analytical mindset; ability to interpret campaign data and make optimization decisions.

·         Experience with Shopify, marketplaces (Amazon, Myntra, Tata CLiQ Luxury), and email workflows and automations.

·         Excellent communication and coordination skills, with a premium brand sensibility.

Mail updated resume with salary details-

Email: etalenthire[at]gmail[dpt]com

Satish: 88O 27 49 743

Strong UX Design / Product Design profile

Mandatory - Minimum 9+ YOE in UX / Product Design

Mandatory - Strong portfolio of UX / Product Design works,

Team handling of UX designers and project management

Mandatory - Design Education (BDes, MDes, BFA, MFA or Similar Design Degrees)

Mandatory - Should NOT have more than 12 Years of Total Experience

iOS Developer responsible for developing app from scratch.

We are looking to recruit a candidate for a role that will require:

• Translate design and wireframes into code
• Design, build, and maintain high performance, reusable, and reliable code
• Identify solutions through research and collaboration that resolves the root of problems as they arise
• Unit testing code
• Experience with cloud message APIs and usage of push notifications

Requirement

∙  2+ years’ strong development experience in iOS

∙  Experience using RESTful web services within mobile applications

∙ Proficient with Swift and Cocoa Touch

∙ Knowledge of iOS UI/UX standards

∙ Understanding of Apple’s design principles and interface guidelines

∙ Experience with code versioning control, such as bitbucket/git

Education: Engineering

Work experience: 2 years relevant experience

This role is physically based out of Mauritius and will require you to relocate to Mauritius. Relocation expenses like air tickets/work visa/permit/shared accomodation/medical insurance/daily travel costs will be borne by the company

The role of a senior java developer is to ensure high quality software development and delivery to the end client.

As senior software developer, you shall be the technical SME on the project and ensure that the team abide by the quality standard set on the project.

On the Java Expertise Center, you shall be contributing to the knowledge building committee where you will be coaching juniors and demy students

Key Skills:

 Very good knowledge in Java (at least from Java 8).

 Good knowledge of Spring boot

 Experience with JPA/Hibernate

 Experience in middleware such as MessageQueues

 Experience with REST interfaces and GRPC

 Experience with modern agile software development (Continuous Integration)

 Experience in securing APIs

 Knowledge in design patterns

1. Software Development

 Act autonomously in the delivery of tasks of simple to high complexities on projects.

 Participate actively with team members to reduce risks related to tasks and activities.

 Ensure deliveries (code, documentation, release notes) are executed within set quality standards and processes.

 Understand and apply standard methods, tools and processes in daily tasks.

 Participate in sprint backlog estimation.

2. Team coaching & technical reference on project.

 Work with the team architect to help coach team members and ensure they

abide by the technical standards set on the project.

 Coach new joiners and accompany them technically & functionally on the

project.

 Be the technical reference on the project, besides the architect.

 Communicate technical KPI to your project manager.

 Review code contributed by team members, ensuring adherence to coding standards, best practices, and quality standards.

 Act as a coach or trainer and contribute actively to the Java Expertise Center.

 A commitment to continuous learning and staying updated with industry trends and best practices

 Participate in budget auditing activities as required by direct report in the capacity of a Developer

Key Dimensions:

 Ability to monitor unit test coverage and ensure team abide by same standard (Standard unit test coverage

of 60% on new and overall codes)

 Ensures Sonar analysis of project is as per quality gate and any deviations are tackled by the team

 Ensuring highest quality delivered to client.