Machine Learning Engineer

Responsibilities:

• Help build model monitoring systems across model types like regression, classification with structured & unstructured datasets.
• Build high-performance multi-tenant deployment architecture that works across frameworks like PyTorch, sklearn, TensorFlow.
• Help realize the product vision: Production-ready machine learning models with monitoring within moments, not months.
• Help companies deploy their machine learning models at scale across a wide range of use-cases and sectors.
• Write maintainable, scalable performant python code, Build high volume and high availability analytics systems, Push the state of the art of MLOPs to push the industry ahead.

Requirements:

• 3+ years work experience with production-grade python- preferably contribution to open source repost.
• Prior experience with ML monitoring, observability & explainability systems, and familiarity with tools for data science like Pandas, Notebooks, Numpy, Scipy, etc.
• Comfortable working in a Linux environment, experience with one relational & 1 non-relational DB is preferred.
• Some working experience with TensorFlow or PyTorch is preferred.
• Experience with model analysis and experimentation frameworks like MLFlow, W& B;, tfma is preferred.

We are a 20-year old IT Services company from Kolkata working in India and abroad. We primarily work as SSP(Software Solutions Partner) and serve some of the leading business houses in the country in various software project implementations specially on  SAP and Oracle platform and also working on Govt & Semi Govt projects as outsourcing partner all over PAN India.

Can be anywhere in India ( Mumbai ,Pune and Kolkata is

preferable)

JD

Machine Learning/Deep Learning experience above 3

years

• Clear and structured thinking and communication

Keywords: Machine Learning, Deep Learning, AI,

Regression, Classification, Clustering, NLP, CNN, RNN,

LSTM, AutoML, k-NN, Naive Bayes, SVM, Decision

Forests

• Understand granular requirement, underlying business

problem and convert to low level design

• Develop analytic process chain with pre-processing,

training, testing, boosting etc.

• Develop the technical deliverable in mcube

(Python/Spark ML/R, H2O/Tensorflow) as per design

• Ensure quality of deliverable (coding standards, data

quality, data reconciliation)

• Proactively reach out for risks to Technical Lead
• Machine Learning, Deep Learning, Regression,

Classification, Clustering, NLP,CNN, RNN

• Expertise in data analysis and analytic programming

(Python/R/ SparkML/Tensorflow)

• Experience in multiple data processing technology

(preferably Pentaho or Spark)

• Basic knowledge in effort estimation, Clear and

structured thinking and communication

• Expertise in testing accuracy of deliverables (model)
• Exposure to Data Modelling and Analysis
• Exposure to information delivery (model outcome

communication)

Qualification:

M.S. / M.Tech/ B.Tech / B.E. (in this order of preference)

• Masters course in Data Science after technical (engineering/

science) degree

About Us

We are an AI-Powered CX Cloud that enables enterprises to transform customer experience and boost revenue with our APIs by automating and analyzing customer interactions at scale. We assist across multiple voices and non-voice channels in 30+ languages whilst coaching and training agents with minimal costs.

 

The problem we are solving

In comparison to worldwide norms, customer support in traditional contact centers is quite appalling, due to a high number of queries, insufficient capacity of agents and inane customer support systems, businesses struggle with a multi-fold rise in customer discontent and bounce rate, resulting in connectivity failure points between them and customers. To address this issue, IITian couple Manish and Rashi Gupta founded Rezo's AI-Powered CX Cloud for Enterprises 2018 to help businesses avoid customer churn and boost revenue without incurring financial costs by providing 24x7 real-time responses to customer inquiries with minimal human interaction

 

Roles and Responsibilities :

• Speech Recognition model development across multiple languages.
• Solve critical real-world scenarios - Noisy channel ASR performance, Multi speaker detection, etc.
• Implement and deliver PoC's /UATs products on the Rezo platform.
• Responsible for product performance, robustness and reliability.

Requirements:

• 2+ years Experience with Bachelors's/Master degree with a focus on CS, Machine Learning, and Signal Processing.
• Strong knowledge of various ML concepts/algorithms and hands-on experience in relevant projects.
• Experience in machine learning platforms such as TensorFlow, and Pytorch and solid programming development skills (Python, C, C++ etc).
• Ability to learn new tools, languages and frameworks quickly.
• Familiarity with databases, data transformation techniques, and ability to work with unstructured data like OCR/ speech/text data.
• Previous experience with working in Conversational AI is a plus.
• Git portfolios will be helpful.

Life at Rezo.AI

• We take transparency very seriously. Along with a full view of team goals, get a top-level view across the board with our regular town hall meetings.
• A highly inclusive work culture that promotes a relaxed, creative, and productive environment.
• Practice autonomy, open communication, and growth opportunities, while maintaining a perfect work-life balance.
• Go on company-sponsored offsites, and blow off steam with your work buddies.

 

Perks & Benefits

Learning is a way of life. Unlock your full potential backed with cutting-edge tools and mentor-ship

Get the best in class medical insurance, programs for taking care of your mental health, and a Contemporary Leave Policy (beyond sick leaves)

 

Why Us?

We are a fast-paced start-up with some of the best talents from diverse backgrounds. Working together to solve customer service problems. We believe a diverse workforce is a powerful multiplier of innovation and growth, which is key to providing our clients with the best possible service and our employees with the best possible career. Diversity makes us smarter, more competitive, and more innovative.

 

Explore more here

http://www.rezo.ai/">www.rezo.ai

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.
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
● Coding knowledge and experience with several languages: C, C++, Java,JavaScript, etc.
● Experience with building high-performance, resilient, scalable, and well-engineered systems
● Experience in CI/CD and development best practices, instrumentation, logging systems
● Experience using statistical computer languages (R, Python, SLQ, etc.) to manipulate data and draw insights
from large data sets.
● Experience working with and creating data architectures.
● Good understanding of various machine learning and natural language processing technologies, such as
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.
● Knowledge on using web services: Redshift, S3, Spark, Digital Ocean, etc.
● 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.
● Knowledge of a variety of machine learning techniques (clustering, decision tree learning, artificial neural
networks, etc.) and their real-world advantages/drawbacks.
● Knowledge of advanced statistical techniques and concepts (regression, properties of distributions,
statistical tests, and proper usage, etc.) and experience with applications.
● Experience building data pipelines that prep data for Machine learning and complete feedback loops.
● 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)
● Relevant experience in fine tuning and optimizing ML (especially Deep Learning) models to bring down
serving latency.
● 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.

Srijan Technologies is hiring for Delivery Manager - Data Science/Data Engineering
with a permanent WFH option.

Notice: Immediate joiners or candidates with 30 days of notice period are preferred.

Required Skills/Experience:
        • Overall Experience of 10+ years in the Industry
        • Good experience in Agile methodology
        • Experience in delivering Data engineering and data integration  		    projects is a must
        • Experience in delivering Analytical programs is a must
        • Experience in delivering AI / ML projects will be an added advantage
        • Analytical skills
        • Well-developed interpersonal skills
        • Commercial awareness
        • Effective Communication
        • Team working skills
        • Ability to motivate people
        • Management and leadership skills

 

About Quidich

http://www.quidich.com">Quidich Innovation Labs pioneers products and customized technology solutions for the Sports Broadcast & Film industry. With a mission to bring machines and machine learning to sports, we use camera technology to develop services using remote controlled systems like drones and buggies that add value to any broadcast or production. Quidich provides services to some of the biggest sports & broadcast clients in India and across the globe. A few recent projects include Indian Premier League, ICC World Cup for Men and Women, Kaun Banega Crorepati, Bigg Boss, Gully Boy & Sanju.

What’s Unique About Quidich?

• Your work will be consumed by millions of people within months of your joining and will impact consumption patterns of how live sport is viewed across the globe.
• You work with passionate, talented, and diverse people who inspire and support you to achieve your goals.
• You work in a culture of trust, care, and compassion.
• You have the autonomy to shape your role, and drive your own learning and growth. 

Opportunity

• You will be a part of world class sporting events
• Your contribution to the software will help shape the final output seen on television
• You will have an opportunity to work in live broadcast scenarios
• You will work in a close knit team that is driven by innovation
  
  

Role

We are looking for a tech enthusiast who can work with us to help further the development of our Augmented Reality product, https://www.quidich.com/services/spatio">Spatio, to keep us ahead of the technology curve. We are one of the few companies in the world currently offering this product for live broadcast. We have a tight product roadmap that needs enthusiastic people to solve problems in the realm of software development and computer vision systems. Qualified candidates will be driven self-starters, robust thinkers, strong collaborators, and adept at operating in a highly dynamic environment. We look for candidates that are passionate about the product and embody our values.

Responsibilities

• Working with the research team to develop, evaluate and optimize various state of the art algorithms.
• Deploying high performance, readable, and reliable code on edge devices or any other target environments.
• Continuously exploring new frameworks and identifying ways to incorporate those in the product.
• Collaborating with the core team to bring ideas to life and keep pace with the latest research in Computer Vision, Deep Learning etc.

Minimum Qualifications, Skills and Competencies

• B.E/B.Tech or Masters in Computer Science, Mathematics or relevant experience
• 3+ years of experience in computer vision algorithms like - sfm/SLAM, optical flow, visual-inertial odometry
• Experience in sensor fusion (camera, imu, lidars) and in probabilistic filters - EKF, UKF
• Proficiency in programming - C++ and algorithms
• Strong mathematical understanding - linear algebra, 3d-geometry, probability.

Preferred Qualifications, Skills and Competencies

• Proven experience in optical flow, multi-camera geometry, 3D reconstruction
• Strong background in Machine Learning and Deep Learning frameworks.

Reporting To: Product Lead 

Joining Date: Immediate (Mumbai)

Must-Have Skills:

• 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

Job Overview:

As a Data Scientist, you will work in collaboration with our business and engineering people, on creating value from data. Often the work requires solving complex problems by turning vast amounts of data into business insights through advanced analytics, modeling, and machine learning. You have a strong foundation in analytics, mathematical modeling, computer science, and math - coupled with a strong business sense. You proactively fetch information from various sources and analyze it for better understanding of how the business performs. Furthermore, you model and build AI tools that automate certain processes within the company. The solutions produced will be implemented to impact business results.

APPLY LINK: http://bit.ly/2yipqSE Go through the entire job post thoroughly before pressing Apply. There is an eleven characters french word v*n*i*r*t*e mentioned somewhere in the whole text which is irrelevant to the context. You shall be required to enter this word while applying else application won't be considered submitted. ````````````````````````````````````````````````````````````````````````````````````````````````````` Aspirant - Data Science & AI Team: Sciences Full-Time, Trainee Bangaluru, India Relevant Exp: 0 - 10 Years Background: Top Tier institute Compensation: Above Standards . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . Busigence is a Decision Intelligence Company. We create decision intelligence products for real people by combining data, technology, business, and behavior enabling strengthened decisions. Scaling established startup by IIT alumni innovating & disrupting marketing domain through artificial intelligence. We bring those people onboard who are dedicated to deliver wisdom to humanity by solving the world’s most pressing problems differently thereby significantly impacting thousands of souls, everyday. We are a deep rooted organization with six years of success story having worked with folks from top tier background (IIT, NSIT, DCE, BITS, IIITs, NITs, IIMs, ISI etc.) maintaining an awesome culture with a common vision to build great data products. In past we have served fifty five customers and presently developing our second product, Robonate. First was emmoQ - an emotion intelligence platform. Third offering, H2HData, an innovation lab where we solve hard problems through data, science, & design. We work extensively & intensely on big data, data science, machine learning, deep learning, reinforcement learning, data analytics, natural language processing, cognitive computing, and business intelligence. First-and-Foremost Before you dive-in exploring this opportunity and press Apply, we wish you to evaluate yourself - We are looking for right candidate, not the best candidate. We love to work with someone who can mandatorily gel with our vision, beliefs, thoughts, methods, and values --- which are aligned with what can be expected in a true startup with ambitious goals. Skills are always secondary to us. Primarily, you must be someone who is not essentially looking for a job or career, rather starving for a challenge, you yourself probably don't know since when. A book can be written on what an applicant must have before joining a . For brevity, in nutshell, we need these three in you: 1. You must be [super sharp] (Just an analogue, but Irodov, Mensa, Feynman, Polya, ACM, NIPS, ICAAC, BattleCode, DOTA etc should have been your Done stuff. Can you relate solution 1 to problem 2? or Do you get confused even when solved similar problem in past? Are you able to grasp problem statement in one go? or get hanged?) 2. You must be [extremely energetic] (Do you raise eyebrows when asked to stretch your limits, both in terms of complexity or extra hours to put in? What comes first in your mind, let's finish it today or this can be done tomorrow too? Its Friday 10 PM at work -Tired?) 3. You must be [honourably honest] (Do you tell others what you think, or what they want to hear? Later is good for sales team for their customers, not for this role. Are you honest with your work? intrinsically with yourself first?) You know yourself the best. If not ask your loved ones and then decide. We clearly need exceedingly motivated people with entrepreneurial traits, not employee mindset - not at all. This is an immediate requirement. We shall have an accelerated interview process for fast closure - you would be required to be proactive and responsive. Real ROLE We are looking for students, graduates, and experienced folks with real passion for algorithms, computing, and analysis. You would be required to work with our sciences team on complex cases from data science, machine learning, and business analytics. Mandatory R1. Must know in-and-out of functional programming (https://docs.python.org/2/howto/functional.html) in Python with strong flair for data structures, linear algebra, & algorithms implementation. Only oops cannot not be accepted. R2. Must have soiled hands on methods, functions, and workarounds in NumPy, Pandas, Scikit-learn, SciPy, Stasmodels - collectively you should have implemented atleast 100 different techniques (we averaged out this figure with our past aspirants who have worked on this role) R3. Must have implemented complex mathematical logics through functional map-reduce framework in Python R4. Must have understanding on EDA cycle, machine learning algorithms, hyper-parameter optimization, ensemble learning, regularization, predictions, clustering, associations - at essential level R5. Must have solved atleast five problems through data science & machine learning. Mere coursera learning and/or Kaggle offline attempts shall not be accepted Preferred R6. Good to have required callibre to learn PySpark within four weeks once joined us R7. Good to have required callibre to grasp underlying business for a problem to be solved R8. Good to have understanding on CNNs, RNNs, MLP, Auto-Encoders - at basic level R9. Good to have solved atleast three problems through deep learning. Mere coursera learning and/or Kaggle offline attempts shall not be accepted R10. Good to have worked on pre-processing techniques for images, audio, and text - OpenCV, Librosa, NLTK R11. Good to have used pre-trained models - VGGNET, Inception, ResNet, WaveNet, Word2Vec Ideal YOU Y1. Degree in engineering, or any other data-heavy field at Bachelors level or above from a top tier institute Y2. Relevant experience of 0 - 10 years working on real-world problems in a reputed company or a proven startup Y3. You are a fanatical implementer who love to spend time with content, codes & workarounds, more than your loved ones Y4. You are true believer that human intelligence can be augmented through computer science & mathematics and your survival vinaigrette depends on getting the most from the data Y5. You are an entrepreneur mindset with ownership, intellectuality, & creativity as way to work. These are not fancy words, we mean it Actual WE W1. Real startup with Meaningful products W2. Revolutionary not just disruptive W3. Rules creators not followers W4. Small teams with real brains not herd of blockheads W5. Completely trust us and should be trusted back Why Us In addition to the regular stuff which every good startup offers – Lots of learning, Food, Parties, Open culture, Flexible working hours, and what not…. We offer you: You shall be working on our revolutionary products which are pioneer in their respective categories. This is a fact. We try real hard to hire fun loving crazy folks who are driven by more than a paycheck. You shall be working with creamiest talent on extremely challenging problems at most happening workplace. How to Apply You should apply online by clicking "Apply Now". For queries regarding an open position, please write to [email protected] For more information, visit http://www.busigence.com Careers: http://careers.busigence.com Research: http://research.busigence.com Jobs: http://careers.busigence.com/jobs/data-science Feel right fit for the position, mandatorily attach PDF resume highlighting your A. Key Skills B. Knowledge Inputs C. Major Accomplishments D. Problems Solved E. Submissions – Github/ StackOverflow/ Kaggle/ Euler Project etc. (if applicable) If you don't see this open position that interests you, join our Talent Pool and let us know how you can make a difference here. Referrals are more than welcome. Keep us in loop.

Does the current state of media frustrate you? Do you want to change the way we consume news? Are you a kickass machine learning practitioner and aspiring entrepreneur, who has opinions on world affairs as well? If so, continue reading! We at UnFound are developing a product which simplifies complex and cluttered news into simple themes, removes bias by showing all (& often unheard of) perspectives, and produce crisp summaries- all with minimal human intervention! We are looking for passionate and experienced machine learning ENGINEER/INTERN, *preferably* with experience in NLP. We want someone who can take initiatives. If you need to be micro-managed, this is NOT the role for you. 1. Demonstrable background in machine learning, especially NLP, information retrieval, etc. 2. Hands on with popular data science frameworks- Python, Jupyter, TensorFlow, PyTorch. 3. Implementation ready background in deep learning techniques like word embeddings, CNN, RNN/LSTM, etc. 4. Experience with productionizing machine learning solutions, especially ML powered mobile/ web-apps/ BOTs. 5. Hands on experience on AWS, and other cloud platforms. GPU experience is strongly preferred. 6. Thorough understanding of back-end concepts, and databases (SQL, Postgres, NoSQL, etc.) 7. Good Kaggle (or similar) scores, MOOC (Udacity, Coursera, fast.ai, etc.) preferred.

Benefits: 1)Working with leaders of analytics Guru 2) working under 25+ years of business exp leaders 3) learning to market and sales pitch for product using social media 4) work from home based on your time 5) exp letter from leading analytics firm for 3 months 6) no stiphen