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Should have knowledge of implementation, application support.
Good knowledge of BI publisher.
Django
JavascriptAbout the Role
We are looking for highly motivated React Fresher Developers who are passionate about building modern, scalable web applications. If you have completed a full-stack or React development course and are eager to apply your skills in real-world projects, we would love to hear from you.
This role is ideal for individuals who are proactive, eager to learn, and ready to contribute to dynamic, collaborative teams.
Mandatory Requirements
Completed a 6-month structured certification program in one of the following:
- Full-Stack Development (MERN / MEAN / Django + React)
- React.js Development
Solid understanding of:
- React fundamentals (Hooks, Props, State, Components)
- Modern JavaScript (ES6+)
- REST APIs and asynchronous data handling
- Git / GitHub (basic usage acceptable)
- At least one completed academic or internship project demonstrating your coding skills.
Preferred / Bonus Advantage
Experience with chatbots or AI-powered conversational interfaces is a plus. This could include:
- Platforms / frameworks like Dialogflow, RASA, IBM Watson, Botpress, or OpenAI API
- Custom chatbot development using Node.js or Python
- A project demonstrating chatbot integration or implementation
Note: A chatbot-related project or feature will be considered a strong plus.
Responsibilities
- Develop responsive and interactive UI components using React.js and modern front-end technologies
- Collaborate with backend teams to integrate APIs and contribute to product features
- Participate in code reviews, testing, and deployment processes
- Continuously explore, learn, and implement new technologies and best practices
NOTE: Laptop with high speed internet is mandatory and the candidate must be based in Chennai.
Python
Machine Learning (ML)
Deep Learning🎯 Ideal Candidate Profile:
This role requires a seasoned engineer/scientist with a strong academic background from a premier institution and significant hands-on experience in deep learning (specifically image processing) within a hardware or product manufacturing environment.
📋 Must-Have Requirements:
Experience & Education Combinations:
Candidates must meet one of the following criteria:
- Doctorate (PhD) + 2 years of related work experience
- Master's Degree + 5 years of related work experience
- Bachelor's Degree + 7 years of related work experience
Technical Skills:
- Minimum 5 years of hands-on experience in all of the following:
- Python
- Deep Learning (DL)
- Machine Learning (ML)
- Algorithm Development
- Image Processing
- 3.5 to 4 years of strong proficiency with PyTorch OR TensorFlow / Keras.
Industry & Institute:
- Education: Must be from a premier institute (IIT, IISC, IIIT, NIT, BITS) or a recognized regional tier 1 college.
- Industry: Current or past experience in a Product, Semiconductor, or Hardware Manufacturing company is mandatory.
- Preference: Candidates from engineering product companies are strongly preferred.
ℹ️ Additional Role Details:
- Interview Process: 3 technical rounds followed by 1 HR round.
- Work Model: Hybrid (requiring 3 days per week in the office).
Based on the job description you provided, here is a detailed breakdown of the Required Skills and Qualifications for this AI/ML/LLM role, formatted for clarity.
📝 Required Skills and Competencies:
💻 Programming & ML Prototyping:
- Strong Proficiency: Python, Data Structures, and Algorithms.
- Hands-on Experience: NumPy, Pandas, Scikit-learn (for ML prototyping).
🤖 Machine Learning Frameworks:
- Core Concepts: Solid understanding of:
- Supervised/Unsupervised Learning
- Regularization
- Feature Engineering
- Model Selection
- Cross-Validation
- Ensemble Methods: Experience with models like XGBoost and LightGBM.
🧠 Deep Learning Techniques:
- Frameworks: Proficiency with PyTorch OR TensorFlow / Keras.
- Architectures: Knowledge of:
- Convolutional Neural Networks (CNNs)
- Recurrent Neural Networks (RNNs)
- Long Short-Term Memory networks (LSTMs)
- Transformers
- Attention Mechanisms
- Optimization: Familiarity with optimization techniques (e.g., Adam, SGD), Dropout, and Batch Normalization.
💬 LLMs & RAG (Retrieval-Augmented Generation):
- Hugging Face: Experience with the Transformers library (tokenizers, embeddings, model fine-tuning).
- Vector Databases: Familiarity with Milvus, FAISS, Pinecone, or ElasticSearch.
- Advanced Techniques: Proficiency in:
- Prompt Engineering
- Function/Tool Calling
- JSON Schema Outputs
🛠️ Data & Tools:
- Data Management: SQL fundamentals; exposure to data wrangling and pipelines.
- Tools: Experience with Git/GitHub, Jupyter, and basic Docker.
🎓 Minimum Qualifications (Experience & Education Combinations):
Candidates must have experience building AI systems/solutions with Machine Learning, Deep Learning, and LLMs, meeting one of the following criteria:
- Doctorate (Academic) Degree + 2 years of related work experience.
- Master's Level Degree + 5 years of related work experience.
- Bachelor's Level Degree + 7 years of related work experience.
⭐ Preferred Traits and Mindset:
- Academic Foundation: Solid academic background with strong applied ML/DL exposure.
- Curiosity: Eagerness to learn cutting-edge AI and willingness to experiment.
- Communication: Clear communicator who can explain ML/LLM trade-offs simply.
- Ownership: Strong problem-solving and ownership mindset.
We are looking for 2- 4 years of experienced Video Editor. Must have experince in different type of projects – e.g., short-form content, brand films, social media, ads. The role is full-time - WFO and based in Porur,Chennai.
Key skills: Adobe Premiere Pro, After Effects, color grading, sound design, strong storytelling.
📈 Key Responsibilities
● Lead implementation of Jodo in partner institutes
○ Own the entire process of onboarding a partner institute
○ Define ‘custom made’ offerings for the parents of a particular institute ○ Single point of contact between the Jodo institute partnerships team, institute management and Jodo inside sales team
● Account management:
Be responsible for ‘anything and everything’ in the partner institutes
○ Be responsible for parent outreach in the institutes
○ Strategize and execute plans for customer acquisition along with the management – events, referrals etc.
○ P&L owner of allocated accounts
○ Take lead in selling and implementing Jodo’s full suite of financial and payment solutions in the partner institutes
📃Requirements
● 1-3 years of experience in project management, operations, revenue growth
● Freshers from top tier colleges (IITs, NITs, BITS etc.)
● Track record of outperformance / over-achieving targets in previous workplaces
● Experience in leading initiatives and delivering results in a time-bound manner 🤩 Benefits
● Competitive salary, with a strong revenue-based incentive structure
● Opportunity to be part of the early stage fintech start-up and make an impact
● Work with colleagues from strong backgrounds & hungry to succeed ● High performers in this role will be given additional exposure
🔎 What are we looking for?
● Self-starter with a high sense of ownership → Comfortable to work with minimal supervision ● Hungry to learn and grow → Passion to learn & be a better version of oneself; motivated to succeed
● Bias for action → Have the temperament to experiment and execute in uncertainty
● Hustler → Ability to generate resources to solve a problem
● Intellectual honesty → Always seeking and presenting truth irrespective of personal POV or beliefs
● Mission-oriented → Deeply care about delivering value and making an impact on customer’s lives
Java
Spring Boot- Work experience as a Java Developer.
- Experience designing, building and testing Java EE applications.
- In-depth knowledge of popular Java frameworks like JSF and Spring MVC.
- Very good understanding of design patterns Hands on experience on ORM framework
- Design and develop reusable libraries and APIs.
- Experience with Object-Oriented Design (OOD).
- Experience on handling exceptions Experience on handling transaction
- Excellent knowledge of Relational Databases, SQL and ORM technologies ( JPA2, Hibernate)
Skills:
Enterprise Asset Management/ Work Management
IBM Maximo,SAP IAM,Infor EAM
Job Responsibilities will include:
-----------------------------------------------
- Overall experience of 5-10 years
- Strong Functional knowledge in Enterprise Asset Management/ Work Management
- Hands on experience in IBM Maximo or SAP IAM or Infor EAM and its integration with supporting systems
- Experience in Utilities industry clients (Electricity or Gas or Water)
- Experience in Supply Chain Domain will be a plus
- Full time regular MBA
- A bachelor's degree in Engineering
We are looking for a Female Sales Executive.
Education - Any discipline with good communication skills.
Skills - Need to be a go-getter and should work towards the target to get leads. Lead generation is the primary measurement.
Experience - Minimum 2 years experience ins Tele sales of high-value products.
Malayalam and Hindi-speaking Customer support executives
Good in English communication
freshers also welcome
Outbound call center exp preferred
work location - Chennai - In-office work
Data ScienceMachine Learning (ML)PythonJob 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.
Essential Duties:
- Work directly with clients to provide rapid and accurate analysis of production issues (including solution tracking).
- Answer customer questions, file bugs, and reproduce, troubleshoot, resolve, and escalate issues as necessary.
- Own and drive customer issues from start to finish.
- Become an expert on a given product domain from both a business and technical standpoint.
- Handle urgent escalation issues, ensuring we accurately prioritize based on severity and customer impact.
Minimum Requirements:
- BS or MS in Computer Science, Engineering, or related. We will also consider other significant technical experience.
- Minimum of 7 years of application support experience.
- Strong Oracle SQL, PL/SQL skills required.
- Order-To-Cash (O2C) or Procure-To-Pay (P2P) cycle experience in Oracle EBS (Financials). Other ERPs can also be considered.
- Excellent spoken and written English. All customer communications are in English.
- Strong communication skills, including the ability to adjust to the technical level of the audience and explain complex ideas clearly and concisely.
- Ability to work with a global teams and build strong cross-functional relationships.
- Positive attitude and the ability to overcome adversity; ability to stay calm under pressure.
- Strong desire and ability to continually learn new skills, processes, technologies, and product knowledge. You will learn something new every day!
- Problem-solving capabilities as well as excellent customer service skills.
- Ability to take ownership and follow through on client issues until resolution.
- Ability to effectively communicate and coordinate with peers and senior management as required.
- Strong organizational skills, attention to detail and technical judgment.
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