Telesales Representative

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. 

We are looking for a motivated and detail-oriented WordPress Developer to join our team. The ideal candidate has 1 to 3 years of professional experience and a solid foundation in building, customizing, and maintaining functional, high-performance websites.

In this role, you will work across the full lifecycle of web projects—from initial setup and layout design using page builders to integrating complex e-commerce solutions via WooCommerce and Shopify.

Key Responsibilities

• Website Development: Build and launch full-scale WordPress websites from scratch, ensuring they are fully responsive and optimized for all devices.
• Theme & Plugin Management: Install, configure, and customize themes and plugins to meet specific project requirements.
• E-commerce Integration: Setup and manage online stores using WooCommerce and Shopify, including product configuration, payment gateways, and shipping modules.
• Custom Architecture: Implement Custom Post Types (CPT) and custom fields to handle specialized content structures.
• Design Implementation: Utilize page builders like Elementor or Divi to create visually appealing layouts while maintaining clean design standards.
• Maintenance & Performance: Perform regular updates, troubleshoot bugs, and optimize sites for speed and core web vitals.

Technical Requirements

• WordPress Expertise: 1–3 years of experience with WordPress core, including a deep understanding of the dashboard and settings.
• Front-end Basics: Proficiency in HTML5, CSS3, and JavaScript (jQuery) to make styling adjustments and add interactivity.
• PHP Knowledge: Familiarity with PHP basics for minor template edits and troubleshooting.
• Page Builders: Hands-on experience with Elementor, Divi, or similar drag-and-drop editors.
• E-commerce Platforms: Proven experience working with both WooCommerce and Shopify.
• Responsive Design: A "mobile-first" mindset to ensure seamless viewing experiences across desktops, tablets, and phones.

Location: Noida Sector 10

Experience: 1 Year to 3 Years

Job Types: Full-time, Permanent

Pay: ₹10,000.00 - ₹18,000.00 per month

Shift: 10:00 AM – 7:00 PM

As a Pre-Sales Solutions Engineer, you will play a critical role in the sales process by demonstrating SmartWinnr’s products and solutions to prospective customers. You will work closely with the sales team to understand client requirements, craft tailored demonstrations, and effectively communicate the value of our offerings. This role requires a combination of technical understanding, excellent communication skills, and the ability to present solutions in a way that resonates with diverse stakeholders.

Responsibilities include but are not limited to:



• Conduct product demonstrations and presentations tailored to the needs and interests of potential customers.
• Collaborate closely with the sales team to understand customer requirements and propose the right product solutions.
• Assist in creating and customizing demo environments and scenarios that highlight the product’s key features.
• Provide technical support during the pre-sales process, addressing any technical questions or concerns that arise.
• Document and maintain records of all customer interactions, demo sessions, and feedback for continuous improvement.
• Work with the product team to relay customer feedback and help refine product offerings.
• Assist in the preparation of proposals and other sales-related documentation.

Responsibilities :

Professional Experience

• 2–5 years of experience in pre-sales, solutions engineering, or technical consulting.
• Proven track record of supporting B2B sales cycles and delivering effective product demonstrations.

Skills & Tools

• Strong presentation, communication, and interpersonal skills.
• Familiarity with SaaS products, technical integrations, and solution design.
• Proficiency with CRM platforms (preferably Pipedrive) and productivity tools like MS Office or Google Workspace.

Personal Attributes

• Customer-focused with a consultative approach to problem-solving.
• Proactive, adaptable, and quick to learn in dynamic environments.
• Collaborative team player with a positive attitude and growth mindset.

Role Description :-

This is a full-time on-site role for an Marketing Executive located in Ambala at Amity Information center. The Marketing Executive will be responsible for day-to-day tasks associated with the role including developing and executing marketing campaigns, tracking and analyzing campaign performance, managing social media channels, and creating marketing collaterals. The Marketing Executive will also contribute to the development of marketing strategies and work closely with cross-functional teams to support university objectives.

Qualifications:

• Masters In Business Administration or equivalent degree.
• Strong written and verbal communication skills.
• Experience in developing and executing marketing campaigns.
• Proficiency in social media management.
• Ability to analyze data and provide insights for campaign optimization.
• Excellent project management skills.
• Ability to work effectively in a team and cross-functional Environment.
• Bachelor's degree in Marketing, Communications, or related field.
• Experience in higher education marketing is a plus.

Responsibilities

• Generating leads through running campaigns.
• performing School Seminars & webinars and data Collection.
• Admission Counselling for Students 10 + 2 and Graduation students.

Your Tasks:

• Participate in all aspect of operation and application support.
• Work primarily in Java-on-Java Spring and web frameworks like Bootstrap and Vue.js.
• Engage and collaborate across time zones with different front-end and back-end developers.
• Working closely with your teammates on knowledge sharing and experience build-up.
• Drive development best practices with your teammates to deliver high quality solutions. 

  Your profile:

• Bachelor’s degree in computer science, information technology, or engineering with strong communication skills.
• 4+ years of experience building large-scale software applications or web applications
• Strong knowledge of Full-Stack development with Java Spring Framework and established web frameworks Bootstrap, Vue.js, React or AngularJS.
• Experience of different data stores and search engine solutions like Apache Solr or Elasticsearch and designing and implementing API web services (RESTful and SOAP-based)
• Ability to work independently and collaboratively in a multidisciplinary team environment whiles providing operational support capability.