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As the Marketing Automation Manager, you will be responsible for executing campaigns and initiatives across multiple marketing channels, with a focus on email marketing, marketing automation, and lead generation. You will work closely with the Brand Strategy team and other members of the marketing team to develop and execute campaigns that support our business objectives and drive revenue growth.
Roles and Responsibilities:
- Develop and implement marketing automation strategies aligned with the business objectives and long-term customer acquisition and retention goals.
- Collaborate with the marketing team to plan and execute marketing campaigns that leverage marketing automation capabilities.
- Drive lead generation efforts by implementing effective strategies and tactics within marketing automation platforms. Create and optimize lead capture forms, landing pages, and lead scoring models to enhance lead quality and conversion rates.
- Use analytical tools and data sources to track, analyze, and report on campaign performance, including metrics such as open rates, click-through rates, conversion rates, and overall campaign effectiveness.
- Work closely with cross-functional teams, including sales, content, and design, to align marketing automation initiatives with overall marketing strategies.
- Maintain knowledge of GDPR, PECR, and other relevant privacy regulations to ensure compliance with marketing automation practices.
- Stay informed about marketing automation trends, tools, and best practices within the B2B technology industry. Conduct research and benchmarking to identify opportunities for innovation and optimization in marketing automation strategies and tactics.
Requirements:
- Prior experience in marketing automation or digital marketing for a high-growth B2B technology business.
- Hands-on experience in setting up automated campaigns using platforms like Hubspot, Salesforce, and similar marketing automation tools.
- Expertise in implementing web tracking technologies such as Google Analytics, Mixpanel, Snowflake, etc.
- Strategic mindset to help the business achieve long-term customer acquisition and retention goals.
- Proven ability to translate complex data into actionable insights for stakeholders.
- Ability to pivot quickly and make fast decisions based on changing needs in a high-growth environment.
- Comfortable working under tight deadlines and strong attention to detail.
- Excellent interpersonal, communication, and project management skills with the ability to prioritize tasks across multiple projects.
- Knowledge of GDPR, PECR, and other relevant privacy regulations.
Job Title: Technical Lead / Project Manager
Location: Indore /Chennai
Experience: 6–12 Years
Key Responsibilities:
- Lead and mentor development teams through all phases of the software development lifecycle.
- Act as the main point of contact for clients; manage communication, expectations, and satisfaction.
- Define project scope, objectives, timelines, and deliverables in collaboration with stakeholders.
Requirements:
- Bachelor’s or Master’s degree in Computer Science, Engineering, or a related field.
- 6+ years of experience in software development, with at least 2+ years in a leadership/project management role.
- Strong technical background in web and/or mobile technologies (e.g., JavaScript, React, Node.js, PHP, Python, iOS/Android).
Good to have would be AWS Architect Certification.
Must Have
- NodeJS / TypeScript experience 3+ years
- AWS experience 3+ years using AWS SDK
- Lamba
- API Gateway
- Event based architecture like Kinesis, MSK (Kafka)
- Database Sql / NoSql
Considered a plus:
- Frontend development React / Angular
- AWS IoT Core, Kafka, Kinesis
- Elastic Search
Should have experience in Device Provisioning / Device management with PKI (Public Key Infrastructure)
The responsibilities and duties section is the most important part of the job description. Please read them below and if interested, do go ahead and apply!
Roles and Responsibilites:
- Manages talent acquisition process, including sourcing, testing, interviewing, hiring and onboarding
- Keeps job descriptions up-to-date, accurate and compliant with relevant federal, state and local laws for all positions
- Develops training and performance management program that ensures all employees are familiar with their job responsibilities, as well as relevant legal and safety requirements
- Creates and updates compensation strategy through market analysis and pay surveys
- Handles investigation and resolution of employee issues, concerns and conflicts
- Ensures all employment practices comply with federal, state and local regulations
Job Location: India
Job Summary
We at CondeNast are looking for a data science manager for the content intelligence
workstream primarily, although there might be some overlap with other workstreams. The
position is based out of Chennai and shall report to the head of the data science team, Chennai
Responsibilities:
1. Ideate new opportunities within the content intelligence workstream where data Science can
be applied to increase user engagement
2. Partner with business and translate business and analytics strategies into multiple short-term
and long-term projects
3. Lead data science teams to build quick prototypes to check feasibility and value to business
and present to business
4. Formulate the business problem into an machine learning/AI problem
5. Review & validate models & help improve the accuracy of model
6. Socialize & present the model insights in a manner that business can understand
7. Lead & own the entire value chain of a project/initiative life cycle - Interface with business,
understand the requirements/specifications, gather data, prepare it, train,validate, test the
model, create business presentations to communicate insights, monitor/track the performance
of the solution and suggest improvements
8. Work closely with ML engineering teams to deploy models to production
9. Work closely with data engineering/services/BI teams to help develop data stores, intuitive
visualizations for the products
10. Setup career paths & learning goals for reportees & mentor them
Required Skills:
1. 5+ years of experience in leading Data Science & Advanced analytics projects with a focus on
building recommender systems and 10-12 years of overall experience
2. Experience in leading data science teams to implement recommender systems using content
based, collaborative filtering, embedding techniques
3. Experience in building propensity models, churn prediction, NLP - language models,
embeddings, recommendation engine etc
4. Master’s degree with an emphasis in a quantitative discipline such as statistics, engineering,
economics or mathematics/ Degree programs in data science/ machine learning/ artificial
intelligence
5. Exceptional Communication Skills - verbal and written
6. Moderate level proficiency in SQL, Python
7. Needs to have demonstrated continuous learning through external certifications, degree
programs in machine learning & artificial intelligence
8. Knowledge of Machine learning algorithms & understanding of how they work
9. Knowledge of Reinforcement Learning
Preferred Qualifications
1. Expertise in libraries for data science - pyspark(Databricks), scikit-learn, pandas, numpy,
matplotlib, pytorch/tensorflow/keras etc
2. Working Knowledge of deep learning models
3. Experience in ETL/ data engineering
4. Prior experience in e-commerce, media & publishing domain is a plus
5. Experience in digital advertising is a plus
About Condé Nast
CONDÉ NAST INDIA (DATA)
Over the years, Condé Nast successfully expanded and diversified into digital, TV, and social
platforms - in other words, a staggering amount of user data. Condé Nast made the right move
to invest heavily in understanding this data and formed a whole new Data team entirely
dedicated to data processing, engineering, analytics, and visualization. This team helps drive
engagement, fuel process innovation, further content enrichment, and increase market
revenue. The Data team aimed to create a company culture where data was the common
language and facilitate an environment where insights shared in real-time could improve
performance.
The Global Data team operates out of Los Angeles, New York, Chennai, and London. The team
at Condé Nast Chennai works extensively with data to amplify its brands' digital capabilities and
boost online revenue. We are broadly divided into four groups, Data Intelligence, Data
Engineering, Data Science, and Operations (including Product and Marketing Ops, Client
Services) along with Data Strategy and monetization. The teams built capabilities and products
to create data-driven solutions for better audience engagement.
What we look forward to:
We want to welcome bright, new minds into our midst and work together to create diverse
forms of self-expression. At Condé Nast, we encourage the imaginative and celebrate the
extraordinary. We are a media company for the future, with a remarkable past. We are Condé
Nast, and It Starts Here.
- Website and software application designing, building, or maintaining.
- Using scripting or authoring languages, management tools, content creation tools, applications, and digital media.
- Determining user needs by analyzing technical requirements.
- Bachelor's degree in web development or related field, or relevant experience.
- Solid knowledge and experience in programming applications.
- Proficient in JavaScript, HTML, CSS, Angular.
- Proficient in Web development.
- Should have 4 years of experience in web development.
- Solid ability in both written and verbal communication.
- Knowledge of programming language and technical terminology.
- Able to develop ideas and processes and clearly express them.
- Able to solve complex problems.
Sales of Instrumentation and Control - Field Instrumentation Devices. Special Focus on Water and Gas Analyzers
Project / System Sales in Industries and Govt. Organizations.
WHAT WE'RE LOOKING FOR
- Bachelors or master’s in software engineering, Computer Science or other relevant disciplines
- 5+ years experience as a Back-End or Full Stack Developer with hands-on experience working with Python with 3+ years Preferably with AWS Services knowledge (Lambda, API Gateway, CloudWatch, Queues, Topics, etc)
- Strong Knowledge in Python v3.x Language
- Experience in REST APIs with JSON
- Error handling and Logging
- Any DB knowledge
- Knowledge in Node.js is an added advantage
- Knowledge in implementing Terraform is a plus
- Knowledge on Sumo Logic log aggregation is a plus
- Must know how to produce high quality, “Clean” code that is performant, maintainable and secure
Requirements:
- Retrieve Data from Databases
SSRS developers optimize SQL server queries to retrieve data efficiently and quickly. As
teams submit requests for different ways of doing things, SSRS developers work with them to find solutions that meet their needs.
- Design Data Solutions
To create and design best-practice data warehouse solutions that support business reporting tasks. This is achieved using different programs and software, such as Microsoft Excel, MS SQL Server, and Tableau.
- Create and Maintain Reporting Processes
To maintain a record of the different reporting processes in place. Evolve ways & means for a more effective data management.
- Resolve IT and Data Issues
- Provide Delivery Plans and Estimates for Projects
- 3-10 years experience
- Strong React, TypeScript, JavaScript
- Experience with NextJS and Material UI
- Experience with popular React.js workflows (such as Flux or Redux)
- Demonstrated mastery of HTML, CSS & JavaScript (ES6+)
- Good understanding of HTML, CSS, Javascript, jQuery, Bootstrap3/4, JSON & AJAX.
- Strong proficiency in JavaScript, including DOM manipulation and the JavaScript object model.
Backend server development & support with Node, JavaScript, JSON, REST, NoSQL, Cloud Native technologies like Docker & Registry, Kubernetes & Helm
- Skilled in data structures, algorithms, modularization, OOP, microservices, and design patterns
- Skilled in coding best practices using containers, packaging (npm, yarn), agility (with Git, Jira), unit testing (JEST), CI/CD (Jenkins), debugging, and ensuring high productivity & quality
- Exposure to security (OIDC/JWT, RBAC, monitoring, auditing)
- Good with learning, problem solving & innovation
ML ARCHITECT
Job Overview
We are looking for a ML Architect to help us discover the information hidden in vast amounts of data, and help us make smarter decisions to deliver even better products. Your primary focus will be in applying data mining techniques, doing statistical analysis, and building high quality prediction systems integrated with our products. They must have strong experience using variety of data mining and data analysis methods, building and implementing models, using/creating algorithm’s and creating/running simulations. They must be comfortable working with a wide range of stakeholders and functional teams. The right candidate will have a passion for discovering solutions hidden in large data sets and working with stakeholders to improve business outcomes. Automating to identify the textual data with their properties and structure form various type of document.
Responsibilities
- Selecting features, building and optimizing classifiers using machine learning techniques
- Data mining using state-of-the-art methods
- Enhancing data collection procedures to include information that is relevant for building analytic systems
- Processing, cleansing, and verifying the integrity of data used for analysis
- Creating automated anomaly detection systems and constant tracking of its performance
- Assemble large, complex data sets that meet functional / non-functional business requirements.
- Secure and manage when needed GPU cluster resources for events
- Write comprehensive internal feedback reports and find opportunities for improvements
- Manage GPU instances/machines to increase the performance and efficiency of the ML/DL model.
Skills and Qualifications
- Strong Hands-on experience in Python Programming
- Working experience with Computer Vision models - Object Detection Model, Image Classification
- Good experience in feature extraction, feature selection techniques and transfer learning
- Working Experience in building deep learning NLP Models for text classification, image analytics-CNN,RNN,LSTM.
- Working Experience in any of the AWS/GCP cloud platforms, exposure in fetching data from various sources.
- Good experience in exploratory data analysis, data visualisation, and other data preprocessing techniques.
- Knowledge in any one of the DL frameworks like Tensorflow, Pytorch, Keras, Caffe
- Good knowledge in statistics,distribution of data and in supervised and unsupervised machine learning algorithms.
- Exposure to OpenCV Familiarity with GPUs + CUDA
- Experience with NVIDIA software for cluster management and provisioning such as nvsm, dcgm and DeepOps.
- We are looking for a candidate with 14+ years of experience, who has attained a Graduate degree in Computer Science, Statistics, Informatics, Information Systems or another quantitative field. They should also have experience using the following software/tools:
- Experience with big data tools: Hadoop, Spark, Kafka, etc.
- Experience with AWS cloud services: EC2, RDS, AWS-Sagemaker(Added advantage)
- Experience with object-oriented/object function scripting languages in any: Python, Java, C++, Scala, etc.




