Data Science
Python
Machine Learning (ML)
Deep Learning
Data Analytics
Subodh Popalwar
Software Engineer, Memorres
About Pluto Seven Business Solutions Pvt Ltd
Pluto7 is Technology Consulting company providing services on Google Cloud Platform. We are also Google Cloud's Top 5 Breakthrough partner for Machine Learning and Artificial Intelligence.
Our core offerings are:- a. Marketing ML b. Demand ML c. Supply ML d. Value Chain ML e. Pricing ML.We work magic with Google Cloud Platform and that allows our customers to see what they could never see before.
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Data ScienceMachine Learning (ML)PythonData Scientist-
We are looking for an experienced Data Scientists to join our engineering team and
help us enhance our mobile application with data. In this role, we're looking for
people who are passionate about developing ML/AI in various domains that solves
enterprise problems. We are keen on hiring someone who loves working in fast paced start-up environment and looking to solve some challenging engineering
problems.
As one of the earliest members in engineering, you will have the flexibility to design
the models and architecture from ground up. As any early-stage start-up, we expect
you to be comfortable wearing various hats, and be proactive contributor in building
something truly remarkable.
Responsibilities
Researches, develops and maintains machine learning and statistical models for
business requirements
Work across the spectrum of statistical modelling including supervised,
unsupervised, & deep learning techniques to apply the right level of solution to
the right problem Coordinate with different functional teams to monitor outcomes and refine/
improve the machine learning models Implements models to uncover patterns and predictions creating business value and innovation
Identify unexplored data opportunities for the business to unlock and maximize
the potential of digital data within the organization
Develop NLP concepts and algorithms to classify and summarize structured/unstructured text data
Qualifications
3+ years of experience solving complex business problems using machine
learning.
Fluency in programming languages such as Python, NLP and Bert, is a must
Strong analytical and critical thinking skills
Experience in building production quality models using state-of-the-art technologies
Familiarity with databases like MySQL, Oracle, SQL Server, NoSQL, etc. is
desirable Ability to collaborate on projects and work independently when required.
Previous experience in Fintech/payments domain is a bonus
You should have Bachelor’s or Master’s degree in Computer Science, Statistics
or Mathematics or another quantitative field from a top tier Institute
PythonData ScienceMachine Learning (ML)Experience: 1- 5 Years
Job Location: WFH
No. of Position: Multiple
Qualifications: Ph.D. Must have
Work Timings: 1:30 PM IST to 10:30 PM IST
Functional Area: Data Science
NextGen Invent is currently searching for Data Scientist. This role will directly report to the VP, Data Science in Data Science Practice. The person will work on data science use-cases for the enterprise and must have deep expertise in supervised and unsupervised machine learning, modeling and algorithms with a strong focus on delivering use-cases and solutions at speed and scale to solve business problems.
Job Responsibilities:
- Leverage AI/ML modeling and algorithms to deliver on use cases
- Build modeling solutions at speed and scale to solve business problems
- Develop data science solutions that can be tested and deployed in Agile delivery model
- Implement and scale-up high-availability models and algorithms for various business and corporate functions
- Investigate and create experimental prototypes that work on specific domains and verticals
- Analyze large, complex data sets to reveal underlying patterns, and trends
- Support and enhance existing models to ensure better performance
- Set up and conduct large-scale experiments to test hypotheses and delivery of models
Skills, Knowledge, Experience:
- Must have Ph.D. in an analytical or technical field (e.g. applied mathematics, computer science)
- Strong knowledge of statistical and machine learning methods
- Hands on experience on building models at speed and scale
- Ability to work in a collaborative, transparent style with cross-functional stakeholders across the organization to lead and deliver results
- Strong skills in oral and written communication
- Ability to lead a high-functioning team and develop and train people
- Must have programming experience in SQL, Python and R
- Experience conceiving, implementing and continually improving machine learning projects
- Strong familiarity with higher level trends in artificial intelligence and open-source platforms
- Experience working with AWS, Azure, or similar cloud platform
- Familiarity with visualization techniques and software
- Healthcare experience is a plus
- Experience in Kafka, Chatbot and blockchain is a plus.
Data ScienceMachine Learning (ML)Sizzle 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. We’re looking for a superstar engineer that is well versed with AI and audio technologies around audio detection, speech-to-text, interpretation, and sentiment analysis.
You will be responsible for:
Developing audio algorithms to detect key moments within popular online games, such as:
Streamer speaking, shouting, etc.
Gunfire, explosions, and other in-game audio events
Speech-to-text and sentiment analysis of the streamer’s narration
Leveraging baseline technologies such as TensorFlow and others -- and building models on top of them
Building neural network architectures for audio analysis as it pertains to popular games
Specifying exact requirements for training data sets, and working with analysts to create the data sets
Training final models, including techniques such as transfer learning, data augmentation, etc. to optimize models for use in a production environment
Working with back-end engineers to get all of the detection algorithms into production, to automate the highlight creation
You should have the following qualities:
Solid understanding of AI frameworks and algorithms, especially pertaining to audio analysis, speech-to-text, sentiment analysis, and natural language processing
Experience using Python, TensorFlow and other AI tools
Demonstrated understanding of various algorithms for audio analysis, such as CNNs, LSTM for natural language processing, and others
Nice to have: some familiarity with AI-based audio analysis including sentiment analysis
Familiarity with AWS environments
Excited about working in a fast-changing startup environment
Willingness to learn rapidly on the job, try different things, and deliver results
Ideally a gamer or someone interested in watching gaming content online
Skills:
Machine Learning, Audio Analysis, Sentiment Analysis, Speech-To-Text, Natural Language Processing, Neural Networks, TensorFlow, OpenCV, AWS, Python
Work Experience: 2 years to 10 years
About Sizzle
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.
Python
R ProgrammingKey Responsibilities
- Owning and executing distinct work streams within larger analytics engagement.
- Delivering insights based on complex data analysis, within relevant verticals (insurance, health care, banking, etc.)
- Hands-on experience in data manipulation skills in SQL or Python
- Experience in exploratory data analysis and feature engineering
- Must have strong capabilities in problem-solving, managing own work diligently, thoroughly documenting own work, succinctly communicating analysis process and outcomes, as well as effectively working with clients
- Basic understanding of at least one business area and its components (Healthcare, Insurance, Banking, Telecommunications, Logistics)
- Familiarity with / Exposure on cloud engineering
- Ability to understand business requirements and support the lead in solving problems
- Strong verbal and written communications skills
- Actively seeks information to clarify customer needs to deliver a better experience
- Acts promptly to ensure customer needs are fulfilled
Machine Learning (ML)Data ScienceSenior Data Scientist
Your goal: To improve the education process and improve the student experience through data.
The organization: Data Science for Learning Services Data Science and Machine Learning are core to Chegg. As a Student Hub, we want to ensure that students discover the full breadth of learning solutions we have to offer to get full value on their learning time with us. To create the most relevant and engaging interactions, we are solving a multitude of machine learning problems so that we can better model student behavior, link various types of content, optimize workflows, and provide a personalized experience.
The Role: Senior Data Scientist
As a Senior Data Scientist, you will focus on conducting research and development in NLP and ML. You will be responsible for writing production-quality code for data product solutions at Chegg. You will lead in identification and implementation of key projects to process data and knowledge discovery.
Responsibilities:
• Translate product requirements into AIML/NLP solutions
• Be able to think out of the box and be able to design novel solutions for the problem at hand
• Write production-quality code
• Be able to design data and annotation collection strategies
• Identify key evaluation metrics and release requirements for data products
• Integrate new data and design workflows
• Innovate, share, and educate team members and community
Requirements:
• Working experience in machine learning, NLP, recommendation systems, experimentation, or related fields, with a specialization in NLP • Working experience on large language models that cater to multiple tasks such as text generation, Q&A, summarization, translation etc is highly preferred
• Knowledge on MLOPs and deployment pipelines is a must
• Expertise on supervised, unsupervised and reinforcement ML algorithms.
• Strong programming skills in Python
• Top data wrangling skills using SQL or NOSQL queries
• Experience using containers to deploy real-time prediction services
• Passion for using technology to help students
• Excellent communication skills
• Good team player and a self-starter
• Outstanding analytical and problem-solving skills
• Experience working with ML pipeline products such as AWS Sagemaker, Google ML, or Databricks a plus.
Why do we exist?
Students are working harder than ever before to stabilize their future. Our recent research study called State of the Student shows that nearly 3 out of 4 students are working to support themselves through college and 1 in 3 students feel pressure to spend more than they can afford. We founded our business on provided affordable textbook rental options to address these issues. Since then, we’ve expanded our offerings to supplement many facets of higher educational learning through Chegg Study, Chegg Math, Chegg Writing, Chegg Internships, Thinkful Online Learning, and more, to support students beyond their college experience. These offerings lower financial concerns for students by modernizing their learning experience. We exist so students everywhere have a smarter, faster, more affordable way to student.
Video Shorts
Life at Chegg: https://jobs.chegg.com/Video-Shorts-Chegg-Services
Certified Great Place to Work!: http://reviews.greatplacetowork.com/chegg
Chegg India: http://www.cheggindia.com/
Chegg Israel: http://insider.geektime.co.il/organizations/chegg
Thinkful (a Chegg Online Learning Service): https://www.thinkful.com/about/#careers
Chegg out our culture and benefits!
http://www.chegg.com/jobs/benefits
https://www.youtube.com/watch?v=YYHnkwiD7Oo
Chegg is an equal-opportunity employer
Python- Graduate+ in Mathematics, Statistics, Computer Science, Economics, Business, Engineering or equivalent work experience.
- Total experience of 5+ years with at least 2 years in managing data quality for high scale data platforms.
- Good knowledge of SQL querying.
- Strong skill in analysing data and uncovering patterns using SQL or Python.
- Excellent understanding of data warehouse/big data concepts such data extraction, data transformation, data loading (ETL process).
- Strong background in automation and building automated testing frameworks for data ingestion and transformation jobs.
- Experience in big data technologies a big plus.
- Experience in machine learning, especially in data quality applications a big plus.
- Experience in building data quality automation frameworks a big plus.
- Strong experience working with an Agile development team with rapid iterations.
- Very strong verbal and written communication, and presentation skills.
- Ability to quickly understand business rules.
- Ability to work well with others in a geographically distributed team.
- Keen observation skills to analyse data, highly detail oriented.
- Excellent judgment, critical-thinking, and decision-making skills; can balance attention to detail with swift execution.
- Able to identify stakeholders, build relationships, and influence others to get work done.
- Self-directed and self-motivated individual who takes complete ownership of the product and its outcome.
Data AnalyticsImmediate Joiners Preferred
NOTE: Working Shift: 11 am - 8 pm IST (+/- one hour on need basis) Monday to Friday
Responsibilities :
1. Leverage Alteryx to build, maintain, execute and deliver data assets. This entails using data analytics tools (combination of proprietary tools, Excel, and scripting), validating raw data quality, and working with Tableau/ Power BI and other geospatial data visualization applications
2. Analyze large data sets in Alteryx, finding patterns and providing a concise summary
3. Implement, maintain, and troubleshoot analytics solution and derive key insights based on Tableau/ Power BI visualization and data analysis
4. Improve ETL setup and develop components so they can be rapidly deployed and configured
5. Conduct data assessment, perform data quality checks and transform data using SQL and ETL tools
Qualification :
1. 3+ years of relevant and professional work experience with a reputed analytics firm
2. Bachelor's degree in Engineering / Information Technology from a reputed college
3. Must have the knowledge to handle/design/optimize complex ETL using Alteryx
4. Expertise with visualization tools such as Tableau /Power BI to solve a business problem related to data exploration and visualization
5. Good knowledge in handling large amounts of data through SQL, T-SQL or PL-SQL
6. Basic knowledge in Python for data processing will be good to have
7. Very good understanding of data warehousing and data lake concepts
Data SciencePythonR Programming- Handling Survey Scripting Process through the use of survey software platform such as Toluna, QuestionPro, Decipher.
- Mining large & complex data sets using SQL, Hadoop, NoSQL or Spark.
- Delivering complex consumer data analysis through the use of software like R, Python, Excel and etc such as
- Working on Basic Statistical Analysis such as:T-Test &Correlation
- Performing more complex data analysis processes through Machine Learning technique such as:
- Classification
- Regression
- Clustering
- Text
- Analysis
- Neural Networking
- Creating an Interactive Dashboard Creation through the use of software like Tableau or any other software you are able to use.
- Working on Statistical and mathematical modelling, application of ML and AI algorithms
What you need to have:
- Bachelor or Master's degree in highly quantitative field (CS, machine learning, mathematics, statistics, economics) or equivalent experience.
- An opportunity for one, who is eager of proving his or her data analytical skills with one of the Biggest FMCG market player.
Deep LearningData Science
ScalaBasic Qualifications:
∙Bachelors in Computer Science/Mathematics + Research (Machine Learning, Deep Learning, Statistics, Data Mining, Game Theory or core mathematical areas) from Tier1 tech institutes.
∙3+ years of relevant experience in building large scale machine learning or deep learning models and/or systems.
∙1 year or more of experience specifically with deep learning (CNN, RNN, LSTM, RBM etc).
∙Strong working knowledge of deep learning, machine learning, and statistics.
- Deep domain understanding of Personalization, Search and Visual.
∙Strong math skills with statistical modeling / machine learning.
∙Hands-on experience building models with deep learning frameworks like MXNet or Tensorflow.
∙Experience in using Python, statistical/machine learning libs.
∙Ability to think creatively and solve problems.
∙Data presentation skills.
Preferred:
∙MS/ Ph.D. (Machine Learning, Deep Learning, Statistics, Data Mining, Game Theory or core mathematical areas) from IISc and other Top Global Universities.
∙Or, Publications in highly accredited journals (If available, please share links to your published work.).
∙Or, history of scaling ML/Deep learning algorithm at massively large scale.
Python
Amazon Web Services (AWS)Data Analytics
Follow CutshortSubodh Popalwar
Software Engineer, Memorres