19+ Mathematics Jobs in India

Overview: The Sales Coordinator plays a pivotal role in ensuring the smooth functioning of the sales process by handling various administrative and coordination tasks. This position requires effective communication skills, attention to detail, and the ability to multitask in a fast-paced environment. The Sales Coordinator acts as a bridge between the sales team, logistics department, and customers to ensure timely order processing and delivery.

Primary Responsibilities:

1. Sales Order Processing:

• Receive and process sales orders accurately and efficiently.
• Ensure all necessary documentation is complete and compliant with company policies and procedures.

2. Coordination with Logistics Department:

• Liaise with the logistics department to plan and schedule order dispatches.
• Coordinate transportation and shipment arrangements to ensure timely delivery.
• Manage vehicle route plans for optimal efficiency in delivery operations.

3. Dispatch Confirmation:

• Confirm dispatches of items with the logistics team and communicate updates to relevant stakeholders.

4. Customer Coordination:

• Collaborate with the sales team to understand customer requirements and preferences.
• Communicate with customers to provide updates on order status and address any inquiries or concerns promptly.

5. Quoting and Invoicing:

• Prepare and send quotes to customers based on their inquiries and specifications.
• Follow up with customers to convert quotes into sales orders.
• Assist in generating invoices and processing payments from customers.

6. Reporting and Documentation:

• Provide regular reports to the sales team regarding order status, sales performance, and other relevant metrics.
• Maintain accurate records of sales orders, quotes, invoices, and customer interactions.

Qualifications:

• Proven experience in sales coordination, order processing, or similar roles.
• Strong organizational and time-management skills with the ability to prioritize tasks effectively.
• Excellent communication and interpersonal skills, both written and verbal.
• Proficiency in using MS Office applications, particularly Excel and Outlook.
• Familiarity with CRM software is a plus.
• Ability to work collaboratively in a team environment while also being self-motivated and proactive.

The Sales Coordinator plays a crucial role in ensuring customer satisfaction and maximizing sales efficiency. By effectively coordinating with various internal departments and external stakeholders, they contribute to the overall success of the sales operation.

You will be part of the core engineering team that is working on developing AI/ML models, Algorithms, and Frameworks in the areas of Video Analytics, Business Intelligence, IoT Predictive Analytics. 

For more information visit www.gyrus.ai 

Candidate must have the following qualifications 

- Engineering or Masters degree in CS, EC, EE or related domains

- Proficient in OpenCV

- Profficiency in Python programming 

- Exposure to one of the AI platforms like Tensorflow, Caffe, PyTorch

- Must have trained and deployed at least one fairly big AI model

- Exposure to AI models for Audio/Image/Video Analytics

- Exposure to one of the Cloud Computing platforms AWS/GCP

- Strong mathematical background with special emphasis towards Linear Algebra and Statistics

TensorIoT: 

• AWS Advanced Consulting Partner (for ML and GenAI solutions) 
• Pioneers in IoT and Generative AI products. 
• Committed to diversity and inclusion in our teams.  

TensorIoT is an AWS Advanced Consulting Partner. We assist companies to realize the value and efficiency of the AWS ecosystem. From building Proof of Concepts and Product Prototypes to production-ready applications, we analyze complex business problems every day and develop solutions to drive customers’ success.

The founders of TensorIoT, have previously helped build world-class IoT and AI platforms in AWS and Google. Our mission now is to help connect devices and make them intelligent. We firmly believe in the transformative power of smart devices to enhance our quality of life. 

TensorIoT is proud to be an equal opportunity employer. We are committed to diversity and inclusion and encourage people from all backgrounds to apply. We do not tolerate discrimination or harassment of any kind, and make our hiring decisions based solely on qualifications, merit, and business needs at the time.

Job Description 

At the TensorIoT India team, we look forward to bringing on board mid-level and senior Machine Learning Engineers / Data Scientists. In this section, we briefly describe the work role, the minimum and the preferred requirements to qualify for the first round of the selection process. Please note: A candidate needs to qualify at least 4 of the 7 preferred qualifications listed below, to be eligible for the task / first round of interviews. 

What are the kinds of tasks Data Scientists do at TensorIoT?

As a Data Scientist, the kinds of tasks revolve around the data that we have and the business objectives of the client. The tasks generally involve: Studying, understanding, and analyzing datasets; feature engineering, proposing and solutions, evaluating the solution scientifically, and communicating with the client. Implementing ETL pipelines with database/data lake tools. Conduct and present scientific research/experiments within the team and to the client. 

Preferred Requirements: 

• PhD in the domain of Data Science / Machine Learning 
• M.Sc | M.Tech in the domain of Computer Science / Machine Learning 
• Hands-on experience in MLOps (model deployment, maintenance). 
• Some experience working with Generative AI (LLM). 
• Some experience in creating cloud-native technologies, and microservices design. 
• Well-rounded exposure to Computer Vision, Natural Language Processing, and Time-Series Analysis. 
• Hands-on experience with Docker.

Minimum Requirements: 

• Masters + 3 years of work experience in Machine Learning Engineering OR B.Tech (Computer Science or related) + 5 years of work experience in Machine Learning Engineering 1 year of Cloud Experience. 
• Clear concepts of the following:
• - Supervised Learning, Unsupervised Learning, Reinforcement Learning
• - Statistical Modelling, Deep Learning
• - Interpretable Machine Learning
• - Linear Algebra 
• Scientific & Analytical mindset, proactive learning, adaptability to changes. 
• Strong interpersonal and language skills in English, to communicate within the team and with the clients. 

CV Tips: 

Your CV is an integral part of your application process. We would appreciate it if the CV prioritizes the following: 

• Focus: 
• More focus on technical skills relevant to the job description. 
• Less or no focus on your roles and responsibilities as a manager, team lead, etc. 
• Less or no focus on the design aspect of the document. 
• Regarding the projects you completed in your previous companies, 
• Mention the problem statement very briefly. 
• Your role and responsibilities in that project. 
• Technologies & tools used in the project. 
• Always good to mention (if relevant): 
• Scientific papers published, Master Thesis, Bachelor Thesis. 
• Github link, relevant blog articles. 
• Link to LinkedIn profile. 
• Mention skills that are relevant to the job description and you could demonstrate during the interview/tasks in the selection process.  

We appreciate your interest in the company and look forward to your application.

Glance – An InMobi Group Company:

Glance is an AI-first Screen Zero content discovery platform, and it’s scaled massively in the last few months to one of the largest platforms in India. Glance is a lock-screen first mobile content platform set up within InMobi. The average mobile phone user unlocks their phone >150 times a day. Glance aims to be there, providing visually rich, easy to consume content to entertain and inform mobile users - one unlock at a time. Glance is live on more than 80 millions of mobile phones in India already, and we are only getting started on this journey! We are now into phase 2 of the Glance story - we are going global!

Roposo is part of the Glance family. It is a short video entertainment platform. All the videos created here are user generated (via upload or Roposo creation tools in camera) and there are many communities creating these videos on various themes we call channels. Around 4 million videos are created every month on Roposo and power Roposo channels, some of the channels are - HaHa TV (for comedy videos), News, Beats (for singing/ dance performances) along with a For You (personalized for a user) and Your Feed (for videos of people a user follows).

What’s the Glance family like?

Consistently featured among the “Great Places to Work” in India since 2017, our culture is our true north, enabling us to think big, solve complex challenges and grow with new opportunities. Glanciers are passionate and driven, creative and fun-loving, take ownership and are results-focused. We invite you to free yourself, dream big and chase your passion.

What can we promise? 

We offer an opportunity to have an immediate impact on the company and our products. The work that you shall do will be mission critical for Glance and will be critical for optimizing tech operations, working with highly capable and ambitious peer groups. At Glance, you get food for your body, soul, and mind with daily meals, gym, and yoga classes, cutting-edge training and tools, cocktails at drink cart Thursdays and fun at work on Funky Fridays. We even promise to let you bring your kids and pets to work. 

What you will be doing?

Glance is looking for a Data Scientist who will design and develop processes and systems to analyze high volume, diverse "big data" sources using advanced mathematical, statistical, querying, and reporting methods. Will use machine learning techniques and statistical analysis to predict outcomes and behaviors. Interacts with business partners to identify questions for data analysis and experiments. Identifies meaningful insights from large data and metadata sources; interprets and communicates insights and or prepares output from analysis and experiments to business partners. 

You will be working with Product leadership, taking high-level objectives and developing solutions that fulfil these requirements. Stakeholder management across Eng, Product and Business teams will be required.

Basic Qualifications:

• Five+ years experience working in a Data Science role
• Extensive experience developing and deploying ML models in real world environments
• Bachelor's degree in Computer Science, Mathematics, Statistics, or other analytical fields
• Exceptional familiarity with Python, Java, Spark or other open-source software with data science libraries
• Experience in advanced math and statistics
• Excellent familiarity with command line linux environment
• Able to understand various data structures and common methods in data transformation
• Experience deploying machine learning models and measuring their impact
• Knowledge of a variety of machine learning techniques (clustering, decision tree learning, artificial neural networks, etc.) and their real-world advantages/drawbacks.

Preferred Qualifications

• Experience developing recommendation systems
• Experience developing and deploying deep learning models
• Bachelor’s or Master's Degree or PhD that included coursework in statistics, machine learning or data analysis
• Five+ years experience working with Hadoop, a NoSQL Database or other big data infrastructure
• Experience with being actively engaged in data science or other research-oriented position
• You would be comfortable collaborating with cross-functional teams.
• Active personal GitHub account.

1.Take daily doubt sessions for their respective subjects (Phys/Chem/Maths) 

2.Problem solving and solution preparation
3.Content Creation (DPP's, test series etc) and supervision.

Selected day-to-day responsibilities include:

1. Creating video lectures for class 6th to 8th (Maths & Science) explaining the concept of assigned topics in your respective regional language (Tamil or Kannada)
2. Show the face is mandatory while making the video lectures
3. You must be good at making interactive PPT and have experience of 2-3 years in the teaching domain
4. Complete the daily target & reporting to the project manager

Contract length: 2 months

Part-time hours: 14 per week

Job Types: Part-time, Temporary, Contract

Salary: ₹12,000.00 - ₹18,000.00 per month

• Subject Matter Expert (SME) will have the complete market level expertise and proficiency as required to create, develop and teach contents in the given subject area.
• Experience 0 to 5 yrs teaching Chemistry, Physics and Mathematics
• Educational qualification: Masters(M.Sc, M.Phil, P.hd) in Chemistry, Physics and Mathematics
• SME for NEET and JEE competitive exams should possess equivalent field experience in teaching student segments of the market space or students in the relevant institutions.
• The primary requirement from the SME will be the creation of highly relevant teacher Lesson planners, teaching modules as expected in the project architecture which is content in-line with the learning material of Raptor entrance expert.
• The SME should gain enough knowledge about the product developed through the induction program and should be prepared for workflow within the first 3 days of joining.
• Proficiency of the theoretical knowledge and equivalent application knowledge is a prerequisite to developing contents for the given assignment. The SME should be posses and be increasingly willing to upgrade one’s knowledge on a regular basis.
• The SME should thoroughly research the curriculum framework, market expectation, syllabus and other essential criteria for the assignment taken.
• The SME will stick on to the time schedules regularly to avoid any delay to the project completed within the stipulated project delivery time and will be solely responsible for the completion of any work given in the subject area within the scope of the given assignment.
• The work files should be appropriately organized in the allocated work system as they will be subjected to frequent auditing.
• The SME will have a parallel discussion and can take guidance from the Project Head and the academic expert team Lead (TL) to build contents analogous to the learning material and ensure organized content delivery.

Role and Responsibilities

A Quantitative Strategist/Quantitative Trader profile at QuantX requires rigorous quantitative aptitude and go-get attitude.

• Deployment of quantitative models in Indian Equity and Derivatives markets to generate returns.
• Management of Quantitative Trading Programs.
• Data Analysis

Requirements

Education (Candidate should satisfy one of the following)

• B.Sc./M.Sc. Mathematics or B.Sc./M.Sc. Statistics from a reputed college with good grades
• Tech with good grades and strong quantitative aptitude
• CFA/FRM Level 1 cleared
• Any other degree with Financial Derivatives as a subject and through knowledge of Derivative Greeks (Portfolio Level, Risk Management, Hedging)  

Skills

• Exceptional Quantitative Aptitude
• Psychological composure and Logical/Objective decision making
• Comfortable working on computer programs

Preferences

Following skill sets are not required but candidate will get preference if he/she possesses any of the following:

• Working knowledge of python for historical data analysis or working on real-time analytics getting feed from a web API (Data structures, numpy, scikit-learn, tensor flow)
• MATLAB/R for Time series analysis
• Knowledge of AFL ( Amibroker Formula Language)

Advantages

• Steep learning curve
• Extensive training on mathematics of derivatives market
• Dynamic work environment(Everyday is different in its own way)
• Very small team and merit based growth
• Best in class Quarterly bonuses and revenue share post training period(where bonus can surpass the base salary)

Pay Structure

• Extensive training period(probation period) of 2 months(Stipend Paid during training period INR 10,000)
• Pay Structure post the training period:

Junior Trader:

Base Salary I + 5% of Revenue share

       Senior Trader:

(Base Salary I + 27% hike) + 10% of Revenue Share

Working Hours

We neither believe in staying unnecessary in office if there's nothing productive to be done nor do we believe in long unproductive lunch breaks

• Standard Market Hours
• Training Pre and Post market hours
• Our doors are open till the time you are working

Selection Process

• Quantitative Aptitude Test 
• Psychometric Test
• Personal Interview
• Super Day (Hands on work on high paced advance programs)  

We @Cerebry are an edtech startup and making world's First AI based truely Adaptive Platform. Our API generates Mathematics Questions on the fly as per student's performance.There are some time some erros in Questions Generated.So we need people who are smart in Mathematics and good in logic.

Thanks