Adobe Illustrator- Study design briefs and determine requirements
- Conceptualizing visuals based on requirements
- Prepare rough drafts and present ideas
- Develop illustrations, logos and other designs using software
- Use the appropriate colors and layouts for each graphic
- Work with copywriters and the creative director to produce the final design
- Test graphics across various media
- Amend designs after feedback
- Ensure final graphics and layouts are visually appealing and on-brand
- Knowledge of basic animation principles
Requirements and skills:
- Proven graphic designing experience
- A strong portfolio of illustrations or other graphics
- Familiarity with design software and technologies - Illustrator, Photoshop & After Effects
- A keen eye for aesthetics and details
- Excellent communication skills
- Ability to work methodically and meet deadlines
- Degree in Design, Fine Arts or a related field is a plus
Shubham Vishwakarma
Full Stack Developer - Averlon
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Role: Relationship Manager
- Exp: min 1 year
- Min CTC : 3.60 LPA - Max CTC: of 4.80 LPA, (along with performance-based incentives + Birthday perks + Mediclaim Insurance, etc)
- Meals will be provided, as the staff will be stationed at the resorts.
Key Responsibilities of the Relationship Manager:
- Achieving stretched targets in a result-focused environment.
- To identify potential customers, create and close new business opportunities in line with the strategic direction of the company.
- To build and maintain strong client relationships by effectively handlings objections/cancellations thus ensuring a high level of customer service are met at all times.
- To prepare sales proposals for prospective clients.
- Regular liaison sales/Pre-sales and member relations department.
- To keep abreast of new products and services and undertake training as and when required.
Location: Goa, Gujarat, Maharashtra
Company: UpGrad
Position
Academic Counselor
Location
Gurgaon
Salary
Gurgaon INR 3.15 LPA to 6 LPA (Based on skills,interview, experience)
Working days :
6 days
4 days inside sales (work from office)
2 days field sales (expenses would be reimbursed by the company)
Working hours : 10am to 7pm
Experience Required
Minimum 1 Year in ED TECH Sales
About the Role
We are looking for passionate and highly driven Academic Counselors to join our dynamic team. The ideal candidate will play a pivotal role in guiding students in their upskilling journey by recommending suitable courses in Data Science and other emerging Tech.
domains. If you have a flair for sales, excellent communication skills, and a passion for education, we'd love to meet you.
Key Responsibilities
- Counsel prospective learners via phone, email, or in-person to help them understand the value and benefits of our tech programs.
- Drive sales conversion by identifying student needs and recommending suitable programs.
- Manage the complete sales cycle: lead qualification, counseling, follow-ups, and closure.
- Maintain accurate records of leads, interactions, and outcomes using CRM tools.
- Meet or exceed monthly targets and KPIs.
- Provide detailed course information, industry insights, and address queries effectively.
Required Skills & Qualifications
- Bachelor's degree in any field.
- Minimum 1 year of experience in a Ed-Tech Sales
- Excellent verbal and written communication skills in English.
- Strong interpersonal skills with the ability to influence and negotiate.
- Self-motivated and target-driven with a problem-solving attitude.
- Tech-savvy and comfortable working in a fast-paced environment.
Preferred Qualifications
- Prior experience in selling Data Science, Tech, or Professional Certification Courses is a plus.
- Knowledge of CRM software (e.g., Salesforce, Zoho) preferred.
What We Offer
- Opportunity to work with a high-growth and mission-driven team.
- Continuous learning and growth opportunities in the ed-tech space.
- A vibrant and collaborative work culture.
Call to Action
Apply now if you're ready to transform careers and make a lasting impact in the tech education ecosystem!
Required skills and experience: · Solid experience working in Big Data ETL environments with Spark and Java/Scala/Python · Strong experience with AWS cloud technologies (EC2, EMR, S3, Kinesis, etc) · Experience building monitoring/alerting frameworks with tools like Newrelic and escalations with slack/email/dashboard integrations, etc · Executive-level communication, prioritization, and team leadership skills
Machine Learning (ML)
Data ScienceJob Description:
Machine Learning / AI Engineer (with 3+ years of experience)
We are seeking a highly skilled and passionate Machine Learning / AI Engineer to join our newly established data science practice area. In this role, you will primarily focus on working with Large Language Models (LLMs) and contribute to building generative AI applications. This position offers an exciting opportunity to shape the future of AI technology while charting an interesting career path within our organization.
Responsibilities:
1. Develop and implement machine learning models: Utilize your expertise in machine learning and artificial intelligence to design, develop, and deploy cutting-edge models, with a particular emphasis on Large Language Models (LLMs). Apply your knowledge to solve complex problems and optimize performance.
2. Building generative AI applications: Collaborate with cross-functional teams to conceptualize, design, and build innovative generative AI applications. Work on projects that push the boundaries of AI technology and deliver impactful solutions to real-world problems.
3. Data preprocessing and analysis: Collect, clean, and preprocess large volumes of data for training and evaluation purposes. Conduct exploratory data analysis to gain insights and identify patterns that can enhance the performance of AI models.
4. Model training and evaluation: Develop robust training pipelines for machine learning models, incorporating best practices in model selection, feature engineering, and hyperparameter tuning. Evaluate model performance using appropriate metrics and iterate on the models to improve accuracy and efficiency.
5. Research and stay up to date: Keep abreast of the latest advancements in machine learning, natural language processing, and generative AI. Stay informed about industry trends, emerging techniques, and open-source libraries, and apply relevant findings to enhance the team's capabilities.
6. Collaborate and communicate effectively: Work closely with a multidisciplinary team of data scientists, software engineers, and domain experts to drive AI initiatives. Clearly communicate complex technical concepts and findings to both technical and non-technical stakeholders.
7. Experimentation and prototyping: Explore novel ideas, experiment with new algorithms, and prototype innovative solutions. Foster a culture of innovation and contribute to the continuous improvement of AI methodologies and practices within the organization.
Requirements:
1. Education: Bachelor's or Master's degree in Computer Science, Data Science, or a related field. Relevant certifications in machine learning, deep learning, or AI are a plus.
2. Experience: A minimum of 3+ years of professional experience as a Machine Learning / AI Engineer, with a proven track record of developing and deploying machine learning models in real-world applications.
3. Strong programming skills: Proficiency in Python and experience with machine learning frameworks (e.g., TensorFlow, PyTorch) and libraries (e.g., scikit-learn, pandas). Experience with cloud platforms (e.g., AWS, Azure, GCP) for model deployment is preferred.
4. Deep-learning expertise: Strong understanding of deep learning architectures (e.g., convolutional neural networks, recurrent neural networks, transformers) and familiarity with Large Language Models (LLMs) such as GPT-3, GPT-4, or equivalent.
5. Natural Language Processing (NLP) knowledge: Familiarity with NLP techniques, including tokenization, word embeddings, named entity recognition, sentiment analysis, text classification, and language generation.
6. Data manipulation and preprocessing skills: Proficiency in data manipulation using SQL and experience with data preprocessing techniques (e.g., cleaning, normalization, feature engineering). Familiarity with big data tools (e.g., Spark) is a plus.
7. Problem-solving and analytical thinking: Strong analytical and problem-solving abilities, with a keen eye for detail. Demonstrated experience in translating complex business requirements into practical machine learning solutions.
8. Communication and collaboration: Excellent verbal and written communication skills, with the ability to explain complex technical concepts to diverse stakeholders
React.js
Javascript- Can architect UI systems and has a well-honed understanding of the strengths and weaknesses of different frameworks.
- Cherishes the craft of an experience getting to perfect pixels, creating animations with just the right springs, investing in loading performance.
- Is familiar with React, Node. JS, NoSQL databases like Firebase, and AWS.
- Collaborates actively with designers, product managers, product scientists, and other engineers.
We CondéNast are looking for a Support engineer Level 2 who would be responsible for
monitoring and maintaining the production systems to ensure the business continuity is
maintained. Your Responsibilities would also include prompt communication to business
and internal teams about process delays, stability, issue, resolutions.
Primary Responsibilities
● 5+ years experience in Production support
● The Support Data Engineer is responsible for monitoring of the data pipelines
that are in production.
● Level 3 support activities - Analysing issue, debug programs & Jobs, bug fix
● The position will contribute to the monitoring, rerun or reschedule, code fix
of pipelines for a variety of projects on a daily basis.
● Escalate failures to Data-Team/DevOps incase of Infrastructure Failures or unable
to revive the data-pipelines.
● Ensure accurate alerts are raised incase of pipeline failures and corresponding
stakeholders (Business/Data Teams) are notified about the same within the
agreed upon SLAs.
● Prepare and present success/failure metrics by accurately logging the
monitoring stats.
● Able to work in shifts to provide overlap with US Business teams
● Other duties as requested or assigned.
Desired Skills & Qualification
● Have Strong working knowledge of Pyspark, Informatica, SQL(PRESTO), Batch
Handling through schedulers(databricks, Astronomer will be an
advantage),AWS-S3, SQL, Airflow and Hive/Presto
● Have basic knowledge on Shell scripts and/or Bash commands.
● Able to execute queries in Databases and produce outputs.
● Able to understand and execute the steps provided by Data-Team to
revive data-pipelines.
● Strong verbal, written communication skills and strong interpersonal
skills.
● Graduate/Diploma in computer science or information technology.
About Condé Nast
CONDÉ NAST GLOBAL
Condé Nast is a global media house with over a century of distinguished publishing
history. With a portfolio of iconic brands like Vogue, GQ, Vanity Fair, The New Yorker and
Bon Appétit, we at Condé Nast aim to tell powerful, compelling stories of communities,
culture and the contemporary world. Our operations are headquartered in New York and
London, with colleagues and collaborators in 32 markets across the world, including
France, Germany, India, China, Japan, Spain, Italy, Russia, Mexico, and Latin America.
Condé Nast has been raising the industry standards and setting records for excellence in
the publishing space. Today, our brands reach over 1 billion people in print, online, video,
and social media.
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.
Java
Spring BootFull stack developers will be required to see out a project from conception to final product, requiring good problem solving skills and attention to detail.
Developer Responsibilities:
Developing front end website as per design
Designing user interactions on web pages
Developing back-end website applications
Creating servers and databases for functionality
Ensuring responsiveness of applications.
Working alongside graphic designers for web design features
Seeing through a project from conception to finished product
Designing and developing APIs
Meeting both technical and consumer needs
Staying abreast of developments in web applications and programming languages.
Developer Requirements:
Proficiency with fundamental front-end languages such as HTML, CSS, and JavaScript
Familiarity with JavaScript frameworks such as Next / React
Proficiency with server-side languages such as Java, Spring Boot, Hibernate
Familiarity with Unit testing, logging, monitoring frameworks
Familiarity with database technology such as MySQL.
Able to interact with business team
Good problem-solving skills
Attention to detail
Go Programming (Golang)Java
Python
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Full Stack Developer - Averlon