Data Science
Machine Learning (ML)Requirements
Experience:
- 5-8 years of working experience in ML/Data science preferably from remote sensing background.
- Experience in leading a team of both data scientist and machine learning engineers to solve challenging problems preferably in the Infrastructure and Utilities domain using geospatial & remote sensing data.
- Statistical knowledge along with great proficiency in python
- Strong understanding and implementation experience of predictive modeling algorithms such as regressions, time series, neural networks, clustering, decision trees and heuristic models, with familiarity dealing with tradeoffs between model performance and business needs
- Experience combining user research and data science methodologies across multiple products within the business unit.
- Must have delivered multiple data science product(s) in production.
Minimum qualification:
- Advanced degree (MSc/PhD) in Computer Science, Economics, Engineering, Operations Research, Physics or Mathematics/Statistics preferred.
Competencies:
- Fantastic communication skills that enable you to work cross-functionally with business folks, product managers, technical experts, building solid relationships with a diverse set of stakeholders.
- The ability to convey complex solutions to a less technical person.
- Vast analytical problem-solving capabilities & experience.
- Bias for action.
Subodh Popalwar
Software Engineer, Memorres
About Expand My Business
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Machine Learning (ML)
Deep Learning• Charting learning journeys with knowledge graphs.
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• Expertise in SageMaker, TensorFlow, MXNet, or equivalent.
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Data ScienceMachine Learning (ML)
Pythono You’re both relentless and kind, and don’t see these as being mutually
exclusive
o You have a self-directed learning style, an insatiable curiosity, and a
hands-on execution mindset
o You have deep experience working with product and engineering teams
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evolving markets
o You flourish in uncertain environments and can turn incomplete,
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o You bring best practices to feature engineering, model development, and
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Must-Have Qualifications
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libraries like scikit-learn
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predictive applications
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What’ll make you stand out (but not required)
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Data AnalyticsSizzle is an exciting new startup that’s changing the world of gaming. At Sizzle, we’re building AI to automate gaming highlights, directly from Twitch and YouTube streams.
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Sizzle is building AI to automate gaming highlights, directly from Twitch and YouTube videos. Presently, there are over 700 million fans around the world that watch gaming videos on Twitch and YouTube. Sizzle is creating a new highlights experience for these fans, so they can catch up on their favorite streamers and esports leagues. Sizzle is available at http://www.sizzle.gg">www.sizzle.gg.
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Deep LearningMachine Learning (ML)Introduction
Synapsica is a growth stage HealthTech startup founded by alumni from IIT Kharagpur, AIIMS New Delhi, and IIM Ahmedabad. We believe healthcare needs to be transparent and objective, while being affordable. Every patient has the right to know exactly what is happening in their bodies and they don’t have to rely on cryptic 2 liners given to them as diagnosis. Towards this aim, we are building an artificial intelligence enabled cloud based platform to analyse medical images and create v2.0 of advanced radiology reporting. We are backed by YCombinator and other investors from India, US and Japan. We are proud to have GE, AIIMS, and the Spinal Kinetics as our partners.
Your Roles and Responsibilities
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Data ScienceMachine Learning (ML)PythonResponsibilities Description:
Responsible for the development and implementation of machine learning algorithms and techniques to solve business problems and optimize member experiences. Primary duties may include are but not limited to: Design machine learning projects to address specific business problems determined by consultation with business partners. Work with data-sets of varying degrees of size and complexity including both structured and unstructured data. Piping and processing massive data-streams in distributed computing environments such as Hadoop to facilitate analysis. Implements batch and real-time model scoring to drive actions. Develops machine learning algorithms to build customized solutions that go beyond standard industry tools and lead to innovative solutions. Develop sophisticated visualization of analysis output for business users.
Experience Requirements:
BS/MA/MS/PhD in Statistics, Computer Science, Mathematics, Machine Learning, Econometrics, Physics, Biostatistics or related Quantitative disciplines. 2-4 years of experience in predictive analytics and advanced expertise with software such as Python, or any combination of education and experience which would provide an equivalent background. Experience in the healthcare sector. Experience in Deep Learning strongly preferred.
Required Technical Skill Set:
- Full cycle of building machine learning solutions,
o Understanding of wide range of algorithms and their corresponding problems to solve
o Data preparation and analysis
o Model training and validation
o Model application to the problem
- Experience using the full open source programming tools and utilities
- Experience in working in end-to-end data science project implementation.
- 2+ years of experience with development and deployment of Machine Learning applications
- 2+ years of experience with NLP approaches in a production setting
- Experience in building models using bagging and boosting algorithms
- Exposure/experience in building Deep Learning models for NLP/Computer Vision use cases preferred
- Ability to write efficient code with good understanding of core Data Structures/algorithms is critical
- Strong python skills following software engineering best practices
- Experience in using code versioning tools like GIT, bit bucket
- Experience in working in Agile projects
- Comfort & familiarity with SQL and Hadoop ecosystem of tools including spark
- Experience managing big data with efficient query program good to have
- Good to have experience in training ML models in tools like Sage Maker, Kubeflow etc.
- Good to have experience in frameworks to depict interpretability of models using libraries like Lime, Shap etc.
- Experience with Health care sector is preferred
- MS/M.Tech or PhD is a plus
Machine Learning (ML)PythonWe are building a global content marketplace that brings companies and content
creators together to scale up content creation processes across 50+ content verticals and 150+ industries. Over the past 2.5 years, we’ve worked with companies like India Today, Amazon India, Adobe, Swiggy, Dunzo, Businessworld, Paisabazaar, IndiGo Airlines, Apollo Hospitals, Infoedge, Times Group, Digit, BookMyShow, UpGrad, Yulu, YourStory, and 350+ other brands.
Our mission is to become the world’s largest content creation and distribution platform for all kinds of content creators and brands.
Our Team
We are a 25+ member company and is scaling up rapidly in both team size and our ambition.
If we were to define the kind of people and the culture we have, it would be -
a) Individuals with an Extreme Sense of Passion About Work
b) Individuals with Strong Customer and Creator Obsession
c) Individuals with Extraordinary Hustle, Perseverance & Ambition
We are on the lookout for individuals who are always open to going the extra mile and thrive in a fast-paced environment. We are strong believers in building a great, enduring
a company that can outlast its builders and create a massive impact on the lives of our
employees, creators, and customers alike.
Our Investors
We are fortunate to be backed by some of the industry’s most prolific angel investors - Kunal Bahl and Rohit Bansal (Snapdeal founders), YourStory Media. (Shradha Sharma); Dr. Saurabh Srivastava, Co-founder of IAN and NASSCOM; Slideshare co-founder Amit Ranjan; Indifi's Co-founder and CEO Alok Mittal; Sidharth Rao, Chairman of Dentsu Webchutney; Ritesh Malik, Co-founder and CEO of Innov8; Sanjay Tripathy, former CMO, HDFC Life, and CEO of Agilio Labs; Manan Maheshwari, Co-founder of WYSH; and Hemanshu Jain, Co-founder of Diabeto.
Backed by Lightspeed Venture Partners
Job Responsibilities:
● Design, develop, test, deploy, maintain and improve ML models
● Implement novel learning algorithms and recommendation engines
● Apply Data Science concepts to solve routine problems of target users
● Translates business analysis needs into well-defined machine learning problems, and
selecting appropriate models and algorithms
● Create an architecture, implement, maintain and monitor various data source pipelines
that can be used across various different types of data sources
● Monitor performance of the architecture and conduct optimization
● Produce clean, efficient code based on specifications
● Verify and deploy programs and systems
● Troubleshoot, debug and upgrade existing applications
● Guide junior engineers for productive contribution to the development
The ideal candidate must -
ML and NLP Engineer
● 4 or more years of experience in ML Engineering
● Proven experience in NLP
● Familiarity with language generative model - GPT3
● Ability to write robust code in Python
● Familiarity with ML frameworks and libraries
● Hands on experience with AWS services like Sagemaker and Personalize
● Exposure to state of the art techniques in ML and NLP
● Understanding of data structures, data modeling, and software architecture
● Outstanding analytical and problem-solving skills
● Team player, an ability to work cooperatively with the other engineers.
● Ability to make quick decisions in high-pressure environments with limited information.
Machine Learning (ML)Responsibilities:
- Develop REST/JSON API’s Design code for high scale/availability/resiliency.
- Develop responsive web apps and integrate APIs using NodeJS.
- Presenting Chat efficiency reports to higher Management
- Develop system flow diagrams to automate a business function and identify impacted systems; metrics to depict the cost benefit analysis of the solutions developed.
- Work closely with business operations to convert requirements into system solutions and collaborate with development teams to ensure delivery of highly scalable and available systems.
- Using tools to classify/categorize the chat based on intents and coming up with F1 score for Chat Analysis
- Experience in analyzing real agents Chat conversation with agent to train the Chatbot.
- Developing Conversational Flows in the chatbot
- Calculating Chat efficiency reports.
Good to Have:
- Monitors performance and quality control plans to identify performance.
- Works on problems of moderate and varied complexity where analysis of data may require adaptation of standardized practices.
- Works with management to prioritize business and information needs.
- Experience in analyzing real agents Chat conversation with agent to train the Chatbot.
- Identifies, analyzes, and interprets trends or patterns in complex data sets.
- Ability to manage multiple assignments.
- Understanding of ChatBot Architecture.
- Experience of Chatbot training
Follow CutshortSubodh Popalwar
Software Engineer, Memorres