Manager – Digital Marketing

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. 

Hiring: AWS DevOps Developer

📍 Location: Bangalore

🧑‍💻 Experience: 4–7 Years

📌 Job Summary

We are looking for a skilled AWS DevOps Developer with strong experience in AWS cloud infrastructure, CI/CD automation, containerization, and Infrastructure as Code. The ideal candidate should have hands-on experience building scalable and secure cloud environments.

🛠 Required Technical Skills

☁️ AWS Services

• Amazon EC2
• Amazon S3
• IAM
• VPC
• Amazon EKS
• RDS
• Route 53
• CloudWatch
• AWS Lambda

🔄 DevOps & CI/CD

• Jenkins (Pipelines, Shared Libraries)
• Git / GitHub
• Maven / Build tools
• CI/CD pipeline design & implementation

🐳 Containers & Orchestration

• Docker
• Kubernetes (EKS preferred)
• Helm

🏗 Infrastructure as Code

• Terraform
• Ansible

📊 Monitoring & Logging

• CloudWatch
• Prometheus
• Grafana

📋 Roles & Responsibilities

• Design and implement scalable AWS infrastructure
• Build and maintain CI/CD pipelines
• Deploy containerized applications using Docker & Kubernetes
• Automate infrastructure provisioning using Terraform
• Implement monitoring and alerting solutions
• Ensure security, compliance, and cost optimization
• Troubleshoot production issues and improve system reliability

➕ Good to Have

• AWS Certification (Solutions Architect / DevOps Engineer)
• Experience with Microservices architecture
• Knowledge of DevSecOps practices
• Experience in Agile methodology

Roles & Responsibilities

• Career Counselling students and parents based on the requirements of admission
• A strong Sales pitch for active conversion of leads to admission
• Confident and dedicated, performer in achieving the given targets
• Excellent Communication skills and good interpersonal skills
• Student's concern to be valued as a top priority
• Must update the knowledge and provide the right suggestion to the students.

Desired Candidate Profile:

• Graduate in any stream is preferred
• Multi-linguistic fluency is preferable
• Immediate joiners are requested to apply.

Functional: Manual Functional Testing of Web and Mobile Applications, Writing Test Cases, Regression Testing, Data Verification, GIT & JIRA, Basic Automation Testing,
Testing feeds - Understanding of JSON and XML structures, Testing tools like Postman, Swagger & Charles Proxy, Browser Development Tools,GIT & JIRA.

Position description: 2+ years of hands on experience in testing.

Primary Responsibilities:

• To work closely with software developers and product planners to understand more about what the product is for, its key features and the intended audience
• Required to carry out a mix of key functional and non-functional tests such as Sanity, Regression, Load, Security and Deployment
• Required to plan test cases in consultation with the stake holders
• Required to document all bugs and findings of these tests and ensuring they are addressed

Required Skills:

Mandatory: Passionate about sports, Problem solving, Team player, Target & Result oriented.

• Analyze, plan and develop requirements and standards in reference to the product pipeline.
• Create and manage the product plan for new tech integrations with the third-party vendors.
• Manage the current integrations with the third-party vendors for ongoing changes & requirements.
• Determine and define clear deliverables for the team members. Assign and oversee the daily tasks of technical personnel while ensuring the team is actively working toward established product milestones.
• Hold daily scrum team meetings to determine progress and address any questions or challenges regarding projects
• Establish and implement training processes and strategies for all technical personnel
• Ensure high test coverage and low post release issues through effective product planning.
• Prepare progress reports for senior management.

Qualifications

• Master's degree in Project Management or related technical field required
• Demonstrated understanding of Project Management processes, strategies and methods
• Experience mentoring, coaching and developing rising talent in the technology department
• Excellent time management and organizational skills and experience establishing guidelines in these areas for others
• Strong sense of personal accountability regarding decision-making and supervising department teams
• Experience working in a high-level collaborative environment and promoting a teamwork mentality
• Managerial experience applying analytical thinking and problem-solving skills
• Ability to predict challenges and seek to proactively head-off obstacle

Summary of the role: 

As an Analytics Engineer, you will work closely with internal team members to implement Adobe Analytics/Google Analytics on clients’ websites. In this role, you will use front-end technologies such as HTML, CSS, JavaScript, jQuery to support the development and implementation of web analytics tracking. You will also set up and maintain successful Adobe Analytics/Google Analytics deployments and identify and solve complex and interesting tracking problems. Using JavaScript/jQuery, you will design analytics solutions by understanding the client’s business and online marketing goals, gathering requirements, defining project scope, and providing technical guidance.

Qualification:

• Bachelor’s degree from an accredited university
• Strong technical aptitude and expertise with JavaScript, HTML,CSS
• Expertise in Adobe DTM/Adobe Launch and Adobe Analytics implementation through other tag management solutions

Experience:

• 3+ years of relevant experience in Adobe Analytics implementation using DTM/Adobe Launch
• Web Development experience is a plus as it relates to the development, configuration and implementation of Web Analytics solutions
• Experience with other web platforms like Google Analytics, Tealium, Tealeaf, etc. is a plus

Responsibilities:

• Understand client business requirements and how to map those requirements to specific digital measurement tactics
• Development of documentation, deliverables and solutions requirements for web analytics tracking
• Work closely with account management and development teams to oversee the implementation, configuration and debugging of web analytics code, both on-site and through tag management systems
• Support digital marketing teams (paid search, SEO, conversion rate optimization, digital media, etc.) to implement customized tracking for campaign initiatives

Key Skills:

• Strong understanding of web analytics implementation tools - Adobe Analytics Implementation Experience
• Ability to use Adobe DTM/Adobe Launch to implement changes suggested by web analytics team
• Hands on experience in writing DTM rules and troubleshooting the existing implementations
• Expert-level knowledge in Adobe DTM/ Adobe Launch and Adobe Analytics is a must
• Knowledge and experience in Google Analytics/Google Tag Manager or other web analytics platforms is a plus
• Knowledge of web development technologies - JavaScript, HTML, CSS etc.
• Experience in producing technical specifications, solution design reference documents, reference manuals, developer guides, and/or code requirements
• Excellent ability to read and debug HTML, JavaScript to successfully test tags
• Presents results in a manner that the business partners can understand, ensuring interpretation, appropriate detail and usability
• Excellent written skills and the ability to write for both technical and non-technical users
• Willingness to travel for client discoveries and other off-site meetings
• Experience with developing analytics testing processes
• Ability to effectively communicate with clients and colleagues at all levels

Hiring Partnership Manager

Role : Hiring Partnership Manager

Experience : 3 to 5Years 

Location : Gurgaon

Roles and responsibilities:

• Connect with the company’s HR
• Onboard clients or connect with companies for hiring purposes
• Manage email and telephonic communication with prospective clients
• Learn and maintain in-depth knowledge of our products, industry trends, and competition
• Build rapport and establish long term relationships with customers
• Ability to gather and use data to inform decision making and persuade others

Skills and Experience :

• Onboarding companies for recruitment/placement solutions
• Candidates from recruitment agencies particularly dealing in IT staffing with experience in getting corporates onboarded will be highly preferred
• Connects with HRs from different industries and companies will be highly preferred
• Should have professional proficiency in English and Hindi
• Strong written and verbal communication skills
• Highly motivated, driven, and self-starting individual
• High sense of ownership and bias for action with willingness to get hands dirty