Graphic/Visual Designer

Key deliverables for the Data Science Engineer would be 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 on applying data mining techniques, doing statistical analysis, and building high-quality prediction systems integrated with our products.

What will you do?

• You will be building and deploying ML models to solve specific business problems related to NLP, computer vision, and fraud detection.
• You will be constantly assessing and improving the model using techniques like Transfer learning
• You will identify valuable data sources and automate collection processes along with undertaking pre-processing of structured and unstructured data
• You will own the complete ML pipeline - data gathering/labeling, cleaning, storage, modeling, training/testing, and deployment.
• Assessing the effectiveness and accuracy of new data sources and data gathering techniques.
• Building predictive models and machine-learning algorithms to apply to data sets.
• Coordinate with different functional teams to implement models and monitor outcomes.
•  
• Presenting information using data visualization techniques and proposing solutions and strategies to business challenges

We would love to hear from you if :

• You have 2+ years of experience as a software engineer at a SaaS or technology company
• Demonstrable hands-on programming experience with Python/R Data Science Stack
• Ability to design and implement workflows of Linear and Logistic Regression, Ensemble Models (Random Forest, Boosting) using R/Python
• Familiarity with Big Data Platforms (Databricks, Hadoop, Hive), AWS Services (AWS, Sagemaker, IAM, S3, Lambda Functions, Redshift, Elasticsearch)
• Experience in Probability and Statistics, ability to use ideas of Data Distributions, Hypothesis Testing and other Statistical Tests.
• Demonstrable competency in Data Visualisation using the Python/R Data Science Stack.
• Preferable Experience Experienced in web crawling and data scraping
• Strong experience in NLP. Worked on libraries such as NLTK, Spacy, Pattern, Gensim etc.
• Experience with text mining, pattern matching and fuzzy matching

• Brand new Macbook
• Stock Options
• Health Insurance
• Unlimited Sick Leaves
• Passion Fund (Invest in yourself or your passion project)
• Wind Down

Location:  Chennai
Education: BE/BTech
Experience: Minimum 3+ years of experience as a Data Scientist/Data Engineer

Domain knowledge: Data cleaning, modelling, analytics, statistics, machine learning, AI

Requirements:

• To be part of Digital Manufacturing and Industrie 4.0 projects across client group of companies
• Design and develop AI//ML models to be deployed across factories
• Knowledge on Hadoop, Apache Spark, MapReduce, Scala, Python programming, SQL and NoSQL databases is required
• Should be strong in statistics, data analysis, data modelling, machine learning techniques and Neural Networks
• Prior experience in developing AI and ML models is required
• Experience with data from the Manufacturing Industry would be a plus

Roles and Responsibilities:

• Develop AI and ML models for the Manufacturing Industry with a focus on Energy, Asset Performance Optimization and Logistics
• Multitasking, good communication necessary
• Entrepreneurial attitude

• Job Location:                      Chennai
• Reporting to:                      Team Leader, Energy Management System

We are currently seeking experienced Business Development professionals with a minimum of 3 years of experience in the digital marketing/advertising industry, preferably in mid-sized agencies. The ideal candidate should have a proven track record of successfully converting new business projects in the field of SEO.

Responsibilities:

1. Generate and expand new SEO business opportunities in specific markets by developing innovative strategies and demonstrating expertise in SEO solutions.

2. Engage with potential clients, create compelling pitches, and onboard clients. This role requires active involvement in finding prospects, strategizing, planning, and independently closing deals.

3. Assist in achieving sales targets and acquiring new clients.

4. Build strong business relationships with key decision-makers in marketing and digital sectors.

5. Proactively identify new opportunities and provide innovative solutions to customers.

6. Develop market strategies by researching high-potential prospect lists.

7. Take ownership and pride in work, recognizing its significance in the company's success. Conduct and track outreach activities through social media and email.

8. Provide regular updates to the founders on leads, performance, and the status of new business projects on a weekly basis.

9. Demonstrate the ability to identify business opportunities across regions such as the US, UK, Canada, Australia, etc., and secure deals within a reasonable timeframe.

We are open to considering candidates with similar experience and skills if they can demonstrate their suitability for the role. Apply now for this exciting opportunity in Business Development and Sales.

Note:

- This is a work-from-home opportunity.

- Full-time position: 11 am to 8 pm.

- 5-day workweek.

- Target-based work.

- Fixed salary up to $25,000 per month, with performance-based incentives.

Apply Now!

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React JS Developer 

• 2-4 years of experience as a React JS developer. 
• Must have Working Experience in a product based organization at least 18 months.
• Good Communication skills must. 
• Strong proficiency in JavaScript, including DOM manipulation and the JavaScript object model 
• Thorough understanding of React.js and its core principles 
• Experience with popular React.js workflows (such as Flux or Redux) ● Familiarity with newer specifications of ECMAScript
• Experience with HTML,CSS, Bootstrap and UI Design 
• Knowledge of RESTful APIs 
• Knowledge of modern authorization mechanisms, such as JSON Web Token ● Familiarity with modern front-end build pipelines and tools 
• Experience with common front-end development tools such as Babel, Webpack, NPM, etc. 
• Ability to understand business requirements and translate them into technical requirements 
• Familiarity with code versioning tools {such as Git} 

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Qualifications

Bachelor university degree in Engineering/Computer Science.

Additional information

Have knowledge of Financial and HR dashboard

• Extract and present valuable information from data
• Understand business requirements and generate insights
• Build mathematical models, validate and work with them
• Explain complex topics tailored to the audience
• Validate and follow up on results
• Work with large and complex data sets
• Establish priorities with clear goals and responsibilities to achieve a high level of performance.
• Work in an agile and iterative manner on solving problems
• Evaluate different options proactively and the ability to solve problems in an innovative way. Develop new solutions or combine existing methods to create new approaches.
• Good understanding of Digital & analytics
• Strong communication skills, orally and in writing