Nodal Officer- Marketing
0 - 0 yrs
₹2.5L - ₹3L / yr
Remote only
Skills
Operational excellence
Marketing
Marketing Strategy
Sales Operations
Field Sales
Inside Sales
Immediate Requirement for Nodal Officer for Freshers.
Company- Namas Industries pvt. ltd.
Work Location- Remote( Work from home) and field work
Education Qualification- 12th and Above
Salary- 2.5 LPA and above
Working day - Monday to Friday
Day shift- 10 am to 6 pm.
Job Description-
1. Connect with MSME near their area from our list or by their knowledge.
2. Convince 2 MSME units to collaborate with us.
3. Connect with newly growing retailer and convince them to be our retailer in their respective cities.
4. Try to bring delivery associates local persons or the needy.
Website - https://www.namasindustries.in/
Company- Namas Industries pvt. ltd.
Work Location- Remote( Work from home) and field work
Education Qualification- 12th and Above
Salary- 2.5 LPA and above
Working day - Monday to Friday
Day shift- 10 am to 6 pm.
Job Description-
1. Connect with MSME near their area from our list or by their knowledge.
2. Convince 2 MSME units to collaborate with us.
3. Connect with newly growing retailer and convince them to be our retailer in their respective cities.
4. Try to bring delivery associates local persons or the needy.
Website - https://www.namasindustries.in/
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About Namas industries
Founded :
2017
Type :
Services
Size :
100-1000
Stage :
Bootstrapped
About
Namas Industries is a company that is dedicated to building a sustainable ecosystem to help consumers economize. Our focus is on the health, leisure, and retail industries, and we are committed to providing innovative solutions that benefit both our customers and the environment.
At Namas Industries, we believe that sustainability is the key to a better future for everyone. That's why we are constantly looking for ways to reduce our carbon footprint and minimize our impact on the environment. We use cutting-edge technology and sustainable practices in all of our operations, and we are always working to improve our processes and reduce our environmental impact.
In the health industry, we offer a wide range of products and services that are designed to improve people's lives. From fitness and wellness products to natural remedies and treatments, we have everything you need to stay healthy and happy.
In the leisure industry, we provide a variety of options for people looking to relax and unwind. From luxurious spas and resorts to exciting outdoor adventures, we have something for everyone. And in the retail industry, we offer a wide selection of products that are both affordable and sustainable.
At Namas Industries, we are committed to making a positive impact on the world. We strive to provide our customers with the best products and services possible, and we are always looking for ways to improve and grow. Whether you're looking for health and wellness products, leisure activities, or sustainable retail options, we have something for you at Namas Industries.
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Email ID:
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Skype ID:
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Hi All ,
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Job description
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Proven 2-4 years of Experience in Technical Recruitment
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Greetings from Idexcel!!!
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Company Profile
XressBees – a logistics company started in 2015 – is amongst the fastest growing companies of its sector. Our
vision to evolve into a strong full-service logistics organization reflects itself in the various lines of business like B2C
logistics 3PL, B2B Xpress, Hyperlocal and Cross border Logistics.
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Risk prevention, Predictive analytics), computer vision, natural language processing (NLP) and speech that
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Hadoop, HBase, Spark, etc
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development, marketing techniques and business strategies.
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● Coordinate with different functional teams to implement models and monitor outcomes.
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● Develop scalable infrastructure, including microservices and backend, that automates training and
deployment of ML models.
● Brainstorm and Design various POCs using ML/DL/NLP solutions for new or existing enterprise problems.
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communicating your needs and understanding theirs and address external and internal shareholder's
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to phenomenal understanding of statistical models, probabilistic algorithms, classification, clustering, deep
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● Experience using statistical computer languages (R, Python, SLQ, etc.) to manipulate data and draw insights
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classification, information retrieval, clustering, knowledge graph, semi-supervised learning and ranking.
● Knowledge and experience in statistical and data mining techniques: GLM/Regression, Random Forest,
Boosting, Trees, text mining, social network analysis, etc.
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● Knowledge on creating and using advanced machine learning algorithms and statistics: regression,
simulation, scenario analysis, modeling, clustering, decision trees, neural networks, etc.
● Knowledge on analyzing data from 3rd party providers: Google Analytics, Site Catalyst, Core metrics,
AdWords, Crimson Hexagon, Facebook Insights, etc.
● Knowledge on distributed data/computing tools: Map/Reduce, Hadoop, Hive, Spark, MySQL, Kafka etc.
● Knowledge on visualizing/presenting data for stakeholders using: Quicksight, Periscope, Business Objects,
D3, ggplot, Tableau etc.
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networks, etc.) and their real-world advantages/drawbacks.
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statistical tests, and proper usage, etc.) and experience with applications.
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● Knowledge of Machine Learning lifecycle and experience working with data scientists
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● Experience with workflow scheduling / orchestration such as Airflow or Oozie
● Working knowledge of current techniques and approaches in machine learning and statistical or
mathematical models
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Kafka)
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serving latency.
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● Excellent exploratory data analysis skills to slice & dice data at scale using SQL in Redshift/BigQuery.
XressBees – a logistics company started in 2015 – is amongst the fastest growing companies of its sector. Our
vision to evolve into a strong full-service logistics organization reflects itself in the various lines of business like B2C
logistics 3PL, B2B Xpress, Hyperlocal and Cross border Logistics.
Our strong domain expertise and constant focus on innovation has helped us rapidly evolve as the most trusted
logistics partner of India. XB has progressively carved our way towards best-in-class technology platforms, an
extensive logistics network reach, and a seamless last mile management system.
While on this aggressive growth path, we seek to become the one-stop-shop for end-to-end logistics solutions. Our
big focus areas for the very near future include strengthening our presence as service providers of choice and
leveraging the power of technology to drive supply chain efficiencies.
Job Overview
XpressBees would enrich and scale its end-to-end logistics solutions at a high pace. This is a great opportunity to join
the team working on forming and delivering the operational strategy behind Artificial Intelligence / Machine Learning
and Data Engineering, leading projects and teams of AI Engineers collaborating with Data Scientists. In your role, you
will build high performance AI/ML solutions using groundbreaking AI/ML and BigData technologies. You will need to
understand business requirements and convert them to a solvable data science problem statement. You will be
involved in end to end AI/ML projects, starting from smaller scale POCs all the way to full scale ML pipelines in
production.
Seasoned AI/ML Engineers would own the implementation and productionzation of cutting-edge AI driven algorithmic
components for search, recommendation and insights to improve the efficiencies of the logistics supply chain and
serve the customer better.
You will apply innovative ML tools and concepts to deliver value to our teams and customers and make an impact to
the organization while solving challenging problems in the areas of AI, ML , Data Analytics and Computer Science.
Opportunities for application:
- Route Optimization
- Address / Geo-Coding Engine
- Anomaly detection, Computer Vision (e.g. loading / unloading)
- Fraud Detection (fake delivery attempts)
- Promise Recommendation Engine etc.
- Customer & Tech support solutions, e.g. chat bots.
- Breach detection / prediction
An Artificial Intelligence Engineer would apply himself/herself in the areas of -
- Deep Learning, NLP, Reinforcement Learning
- Machine Learning - Logistic Regression, Decision Trees, Random Forests, XGBoost, etc..
- Driving Optimization via LPs, MILPs, Stochastic Programs, and MDPs
- Operations Research, Supply Chain Optimization, and Data Analytics/Visualization
- Computer Vision and OCR technologies
The AI Engineering team enables internal teams to add AI capabilities to their Apps and Workflows easily via APIs
without needing to build AI expertise in each team – Decision Support, NLP, Computer Vision, for Public Clouds and
Enterprise in NLU, Vision and Conversational AI.Candidate is adept at working with large data sets to find
opportunities for product and process optimization and using models to test the effectiveness of different courses of
action. They must have knowledge using a variety of data mining/data analysis methods, using a variety of data tools,
building, and implementing models, using/creating algorithms, 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.
Roles & Responsibilities
● Develop scalable infrastructure, including microservices and backend, that automates training and
deployment of ML models.
● Building cloud services in Decision Support (Anomaly Detection, Time series forecasting, Fraud detection,
Risk prevention, Predictive analytics), computer vision, natural language processing (NLP) and speech that
work out of the box.
● Brainstorm and Design various POCs using ML/DL/NLP solutions for new or existing enterprise problems.
● Work with fellow data scientists/SW engineers to build out other parts of the infrastructure, effectively
communicating your needs and understanding theirs and address external and internal shareholder's
product challenges.
● Build core of Artificial Intelligence and AI Services such as Decision Support, Vision, Speech, Text, NLP, NLU,
and others.
● Leverage Cloud technology –AWS, GCP, Azure
● Experiment with ML models in Python using machine learning libraries (Pytorch, Tensorflow), Big Data,
Hadoop, HBase, Spark, etc
● Work with stakeholders throughout the organization to identify opportunities for leveraging company data to
drive business solutions.
● Mine and analyze data from company databases to drive optimization and improvement of product
development, marketing techniques and business strategies.
● Assess the effectiveness and accuracy of new data sources and data gathering techniques.
● Develop custom data models and algorithms to apply to data sets.
● Use predictive modeling to increase and optimize customer experiences, supply chain metric and other
business outcomes.
● Develop company A/B testing framework and test model quality.
● Coordinate with different functional teams to implement models and monitor outcomes.
● Develop processes and tools to monitor and analyze model performance and data accuracy.
● Develop scalable infrastructure, including microservices and backend, that automates training and
deployment of ML models.
● Brainstorm and Design various POCs using ML/DL/NLP solutions for new or existing enterprise problems.
● Work with fellow data scientists/SW engineers to build out other parts of the infrastructure, effectively
communicating your needs and understanding theirs and address external and internal shareholder's
product challenges.
● Deliver machine learning and data science projects with data science techniques and associated libraries
such as AI/ ML or equivalent NLP (Natural Language Processing) packages. Such techniques include a good
to phenomenal understanding of statistical models, probabilistic algorithms, classification, clustering, deep
learning or related approaches as it applies to financial applications.
● The role will encourage you to learn a wide array of capabilities, toolsets and architectural patterns for
successful delivery.
What is required of you?
You will get an opportunity to build and operate a suite of massive scale, integrated data/ML platforms in a broadly
distributed, multi-tenant cloud environment.
● B.S., M.S., or Ph.D. in Computer Science, Computer Engineering
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● Experience with building high-performance, resilient, scalable, and well-engineered systems
● Experience in CI/CD and development best practices, instrumentation, logging systems
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from large data sets.
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classification, information retrieval, clustering, knowledge graph, semi-supervised learning and ranking.
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● Knowledge on creating and using advanced machine learning algorithms and statistics: regression,
simulation, scenario analysis, modeling, clustering, decision trees, neural networks, etc.
● Knowledge on analyzing data from 3rd party providers: Google Analytics, Site Catalyst, Core metrics,
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● Knowledge on distributed data/computing tools: Map/Reduce, Hadoop, Hive, Spark, MySQL, Kafka etc.
● Knowledge on visualizing/presenting data for stakeholders using: Quicksight, Periscope, Business Objects,
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● Knowledge of Machine Learning lifecycle and experience working with data scientists
● Experience with Relational databases and NoSQL databases
● Experience with workflow scheduling / orchestration such as Airflow or Oozie
● Working knowledge of current techniques and approaches in machine learning and statistical or
mathematical models
● Strong Data Engineering & ETL skills to build scalable data pipelines. Exposure to data streaming stack (e.g.
Kafka)
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● Exposure to ML model productionzation stack (e.g. MLFlow, Docker)
● Excellent exploratory data analysis skills to slice & dice data at scale using SQL in Redshift/BigQuery.
Read more
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Read more
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Remote: Yes
Travel: No
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Frolick, Inc. is a community food delivery platform for healthy, delicious lunches from Michelin-star chef designed menus at an incredible value. We are reimagining weekday lunch. Unlike takeout with us what you see is what you pay: no ancillary fees or tips! We bring together machine learning, food production, last-mile logistics in a unique way to bring a fresh, chef-prepared meal to your office or home for less than the price of traditional takeout.
Backed by a strategic partnership and investment from one of the largest food-tech companies in the world, we are launching in the DC Metro area this fall and in a dozen cities next year.
The Opportunity:
As Product Manager you will be responsible for the product planning, development and execution throughout the Frolick’s lifecycle. This will include: gathering and prioritizing product and customer requirements, defining the product vision, and working closely with engineering, sales, marketing and support to ensure KPI and OKR goals are met.
Your role will be integral in articulating what success looks like by identifying our customer needs and ensuring that the product supports Frolick’s overall strategy and goals while collaborating with a team to turn that vision into action. As an early team member, you will get an unique opportunity to be in the driving seat of a high-growth startup and define its success story.
Your Responsibilities:
- Oversee and own the overall product development and delivery. This includes product's vision, strategy, and roadmap and identify big initiatives Frolick should make to drive user growth and engagement
- Create detailed product business requirements documents, user stories and functional specifications and synthesize key results that define the success of our products
- Incorporate market analysis, customer research and usability findings into requirements
- Collaborate with cross-functional stakeholders to understand goals and pain points, gather requirements and understand internal workflows in order to design the ideal experience
- Develop go-to-market strategies to drive awareness, education and selling partner adoption
- Establish metrics and key indicators that provide product insights based on performance, historical data and post-mortem analysis
- Identify new strategic product opportunities that will help us stay fresh and deliver on those opportunities
- Embody a “can do” and growth mindset, from experimentation and tinkering to constantly pushing your data/information analysis ability to better identify key drivers and understanding of what's going on
Requirements / Superpowers:
- 5-7 years of experience with minimum 2 years a product management, preferably some of it in last-mile logistics, or E-commerce
- Proven ability to influence others among a diverse group of leaders, fostering collaboration, and building a culture of excellence]
- Ability to drive metrics and key results to ensure continuous improvement
- Experience managing multiple projects at once and prioritizing simultaneously
- Experience interpreting data and making recommendations
- Excellent and effective communication skills - whether it’s emails, summaries or decks - that are concise, inspiring, kind, articulate and unambiguous
- Experience working in a high-growth environment, preferably at a tech startup
- You are comfortable with ambiguity and highly entrepreneurial
- Experience with last-mile food, grocery delivery will make you stand out among applicants
- You have a bias towards execution, a desire to execute, learn and iterate
What we offer:
- Competitive compensation package (including equity component)
- Medical and dental insurance
- A steep learning curve from day zero
- This is a ground floor opportunity. You will be shaping the growth of a business from the beginning. This also means the opportunities for you are limitless
- You will get to build something you are proud of, alongside a set of colleagues who are passionate, committed and are driven by a shared vision
- A transparent company culture with flat hierarchies, an environment to openly, frequently and respectfully challenge each other
- And, tons of great food!!
We are an equal opportunity employer, which means we do not discriminate on the basis of race, color, religion, marital status, age, national origin, ancestry, physical or mental disability, medical condition, pregnancy, genetic information, gender, sexual orientation, gender identity or expression.
We embrace and celebrate diversity. We believe diversity makes us stronger and are committed to creating an inclusive environment for all employees.
Read more
Remote, Bengaluru (Bangalore)
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₹4L - ₹7L / yr
IT Recruiter
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Write and post technical job descriptions
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Parse specialized skills and qualifications to screen IT resumes
Perform pre-screening calls to analyze applicants’ abilities
Interview candidates combining various methods (e.g. structured interviews, technical assessments, and behavioral questions)
Coordinate with IT team leaders to forecast department goals and hiring needs
Craft and send personalized recruiting emails with current job openings to passive candidates
Participate in tech conferences and meetups to network with IT professionals
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Write and post technical job descriptions
Source potential candidates on different platforms, like Naukri, cut short, LinkedIn
Parse specialized skills and qualifications to screen IT resumes
Perform pre-screening calls to analyze applicants’ abilities
Interview candidates combining various methods (e.g. structured interviews, technical assessments, and behavioral questions)
Coordinate with IT team leaders to forecast department goals and hiring needs
Craft and send personalized recruiting emails with current job openings to passive candidates
Participate in tech conferences and meetups to network with IT professionals
Compose job offer letters
Onboard new hires
Promote the company’s reputation as a great place to work
Conduct job and task analyses to document job duties and requirements
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Bengaluru (Bangalore)
5 - 8 yrs
₹18L - ₹22L / yr
NodeJS (Node.js)
JavascriptTypeScript
- As a Senior Software Engineer you will work closely with the Tech Lead, and the rest of the engineering team to build and scale a data-driven platform. This role will act as a great springboard to accelerate career growth & transition into a Tech Lead level role.
- Your primary focus will be the development of server-side logic, building new services and APIs, developing UI components, supporting the maintenance of current APIs, reviewing work, and improving the performance and reliability of our systems as we rapidly scale our product and organization.
- An effective Senior Software Engineer will be a self-motivated learner; a highly creative engineer having obsessive attention towards detail and thoroughness.
Must Haves
- You’ve been building web applications professionally for 5+ years
- You’re proficient in NodeJS, TypeScript, PostgreSQL, and MongoDB
- You possess strong OOP and design pattern knowledge
- Familiar with modern engineering practices: Code Reviews, Continuous Deployment, Automated Testing, etc
- You write understandable, testable code with an eye towards maintainability and experienced with TDD (Test Driven Development)
- You’ve the ability to build RESTful APIs
- Explaining complex technical concepts to designers, support team, and fellow engineers is not a problem for you
- Well versed with the fundamentals of computer science and distributed systems
Nice-to-haves
- FrontEnd experience; have built applications in either: React, Vue, Angular, or Svelte
- Startup experience, preferably a tech startup
- Open Source contributor
- You have experience with other programming languages -- e.g. Python, Ruby, PHP, Go, C, etc.
- Passionate about/experienced with open source and developer tools
- You have a bachelor's degree in Computer Science, Engineering or related field, or equivalent training, fellowship, or work experience
Benefits
- Feel good factor / impact driven work- Be part of the journey that is creating an impact in people’s lives after retirement. The work we do has a direct impact on the size of someone’s retirement pot
- Ownership driven work- you own problems within the organisation and not an implementer of someone else’s idea. You have the ability to design solutions and work with multiple stakeholders to implement them
- Job stability- ClearGlass is very well funded by top tier VCs and can provide job stability in the COVID world
- Stock Options- we would love every employee of ClearGlass to have stock options
- Top-of-the-line gear- to help you be super-productive while working. No one likes a slow laptop
- Flexible work environment- we are working from home currently but will slowly move to a hybrid set-up; we offer support (incl. financial) to set-up your home office
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NCR (Delhi | Gurgaon | Noida)
3 - 7 yrs
₹5L - ₹10L / yr
Business Development
Customer Relationship Management (CRM)
Customer Support
Team Management
- Develop and manage the outreach strategy across various segments of corporate users i.e., MNCs, start-ups, investors. Develop targeted value propositions for various segments of corporate users
- Conduct regular analysis of platform usage by companies to determine key issues / insights and suggest actions. Weekly follow-ups with key clients and developing client relationships
- Independently, pitch the concept, manage follow-up, and ensure leads’ questions are answered
- Support design of key strategic initiatives through analytics and primary research and curation of the company side of the platform
- Envision and execute strategic partnerships e.g., industry associations, universities
- Managing own and team’s BD pipeline - tracking communications, success rates, etc.
- Refine the company outreach strategy jointly with the CEO and Marketing teams based on data on skills, usage patterns, success rates for different types of roles and organisations
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Remote, Chennai
3 - 7 yrs
₹1L - ₹3L / yr
Quality control
Production
Mechanical engineering
Automotive engineering
Electrical engineering
+1 more
Hiring Freshers and Experienced Engineering candidates for the Top Most MNC companies
Qualification: B.E/B.TECH
Discipline: Mechanical Engineering, Electrical Engineering,Electronics engineering, Automobile engineering)
Work Area: Quality,Production
Designation: Engineer
Eligibility: Fresher & Experience (2015/2016/2017/2018)
Salary: 12 - 17 k Fresher
18 - 25k Experienced
ESI+PFavailable.
Shift time: 8 hours ( rotational shift)
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