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.
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Team:- We are a team of 9 data scientists working on Video Analytics Projects, Data Analytics projects for internal AI requirements of Reliance Industries as well for the external business. At a time, we make progress on multiple projects(atleast 4) in Video Analytics or Data Analytics.
Company Name: Curl Tech
Location: Bangalore
Website: www.curl.tech
Company Profile: Curl Tech is a deep-tech firm, based out of Bengaluru, India. Curl works on developing Products & Solutions leveraging emerging technologies such as Machine Learning, Blockchain (DLT) & IoT. We work on domains such as Commodity Trading, Banking & Financial Services, Healthcare, Logistics & Retail.
Curl has been founded by technology enthusiasts with rich industry experience. Products and solutions that have been developed at Curl, have gone on to have considerable success and have in turn become separate companies (focused on that product / solution).
If you are looking for a job, that would challenge you and desire to work with an organization that disrupts entire value chain; Curl is the right one for you!
Designation: Data Scientist or Junior Data Scientist (according to experience)
Job Description:
Good with Machine Learning and Deep learning, good with programming and maths.
Details: The candidate will be working on many image analytics/ numerical data analytics projects. The work involves, data collection, building the machine learning models, deployment, client interaction and publishing academic papers.
Responsibilities:
-
The candidate will be working on many image analytics/numerical data projects.
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Candidate will be building various machine learning models depending upon the requirements.
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Candidate would be responsible for deployment of the machine learning models.
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Candidate would be the face of the company in front of the clients and will have regular client interactions to understand that client requirements.
What we are looking for candidates with:
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Basic Understanding of Statistics, Time Series, Machine Learning, Deep Learning, and their fundamentals and mathematical underpinnings.
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Proven code proficiency in Python,C/C++ or any other AI language of choice.
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Strong algorithmic thinking, creative problem solving and the ability to take ownership and do independent
research.
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Understanding how things work internally in ML and DL models is a must.
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Understanding of the fundamentals of Computer Vision and Image Processing techniques would be a plus.
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Expertise in OpenCV, ML/Neural networks technologies and frameworks such as PyTorch, Tensorflow would be a
plus.
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Educational background in any quantitative field (Computer Science / Mathematics / Computational Sciences and related disciplines) will be given preference.
Education: BE/ BTech/ B.Sc.(Physics or Mathematics)/Masters in Mathematics, Physics or related branches.
o 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
to launch machine learning products that users love in new or rapidly
evolving markets
o You flourish in uncertain environments and can turn incomplete,
conflicting, or ambiguous inputs into solid data-science action plans
o You bring best practices to feature engineering, model development, and
ML operations
o Your experience in deploying and monitoring the performance of models
in production enables us to implement a best-in-class solution
o You have exceptional writing and speaking skills with a talent for
articulating how data science can be applied to solve customer problems
Must-Have Qualifications
o Graduate degree in engineering, data science, mathematics, physics, or
another quantitative field
o 5+ years of hands-on experience in building and deploying production-
grade ML models with ML frameworks (TensorFlow, Keras, PyTorch) and
libraries like scikit-learn
o Track-record in building ML pipelines for time series, classification, and
predictive applications
o Expert level skills in Python for data analysis and visualization, hypothesis
testing, and model building
o Deep experience with ensemble ML approaches including random forests
and xgboost, and experience with databases and querying models for
structured and unstructured data
o A knack for using data visualization and analysis tools to tell a story
o You naturally think quantitatively about problems and work backward
from a customer outcome
What’ll make you stand out (but not required)
o You have a keen awareness or interest in network analysis/graph analysis
or NLP
o You have experience in distributed systems and graph databases
o You have a strong connection to finance teams or closely related
domains, the challenges they face, and a deep appreciation for their
aspirations
DATA SCIENTIST-MACHINE LEARNING
GormalOne LLP. Mumbai IN
Job Description
GormalOne is a social impact Agri tech enterprise focused on farmer-centric projects. Our vision is to make farming highly profitable for the smallest farmer, thereby ensuring India's “Nutrition security”. Our mission is driven by the use of advanced technology. Our technology will be highly user-friendly, for the majority of farmers, who are digitally naive. We are looking for people, who are keen to use their skills to transform farmers' lives. You will join a highly energized and competent team that is working on advanced global technologies such as OCR, facial recognition, and AI-led disease prediction amongst others.
GormalOne is looking for a machine learning engineer to join. This collaborative yet dynamic, role is suited for candidates who enjoy the challenge of building, testing, and deploying end-to-end ML pipelines and incorporating ML Ops best practices across different technology stacks supporting a variety of use cases. We seek candidates who are curious not only about furthering their own knowledge of ML Ops best practices through hands-on experience but can simultaneously help uplift the knowledge of their colleagues.
Location: Bangalore
Roles & Responsibilities
- Individual contributor
- Developing and maintaining an end-to-end data science project
- Deploying scalable applications on different platform
- Ability to analyze and enhance the efficiency of existing products
What are we looking for?
- 3 to 5 Years of experience as a Data Scientist
- Skilled in Data Analysis, EDA, Model Building, and Analysis.
- Basic coding skills in Python
- Decent knowledge of Statistics
- Creating pipelines for ETL and ML models.
- Experience in the operationalization of ML models
- Good exposure to Deep Learning, ANN, DNN, CNN, RNN, and LSTM.
- Hands-on experience in Keras, PyTorch or Tensorflow
Basic Qualifications
- Tech/BE in Computer Science or Information Technology
- Certification in AI, ML, or Data Science is preferred.
- Master/Ph.D. in a relevant field is preferred.
Preferred Requirements
- Exp in tools and packages like Tensorflow, MLFlow, Airflow
- Exp in object detection techniques like YOLO
- Exposure to cloud technologies
- Operationalization of ML models
- Good understanding and exposure to MLOps
Kindly note: Salary shall be commensurate with qualifications and experience
Job Description – Data Science
Basic Qualification:
- ME/MS from premier institute with a background in Mechanical/Industrial/Chemical/Materials engineering.
- Strong Analytical skills and application of Statistical techniques to problem solving
- Expertise in algorithms, data structures and performance optimization techniques
- Proven track record of demonstrating end to end ownership involving taking an idea from incubator to market
- Minimum years of experience in data analysis (2+), statistical analysis, data mining, algorithms for optimization.
Responsibilities
The Data Engineer/Analyst will
- Work with stakeholders throughout the organization to identify opportunities for leveraging company data to drive business solutions.
- Clear interaction with Business teams including product planning, sales, marketing, finance for defining the projects, objectives.
- Mine and analyze data from company databases to drive optimization and improvement of product and process development, marketing techniques and business strategies
- Coordinate with different R&D and Business teams to implement models and monitor outcomes.
- Mentor team members towards developing quick solutions for business impact.
- Skilled at all stages of the analysis process including defining key business questions, recommending measures, data sources, methodology and study design, dataset creation, analysis execution, interpretation and presentation and publication of results.
- 4+ years’ experience in MNC environment with projects involving ML, DL and/or DS
- Experience in Machine Learning, Data Mining or Machine Intelligence (Artificial Intelligence)
- Knowledge on Microsoft Azure will be desired.
- Expertise in machine learning such as Classification, Data/Text Mining, NLP, Image Processing, Decision Trees, Random Forest, Neural Networks, Deep Learning Algorithms
- Proficient in Python and its various libraries such as Numpy, MatPlotLib, Pandas
- Superior verbal and written communication skills, ability to convey rigorous mathematical concepts and considerations to Business Teams.
- Experience in infra development / building platforms is highly desired.
- A drive to learn and master new technologies and techniques.
Graas uses predictive AI to turbo-charge growth for eCommerce businesses. We are “Growth-as-a-Service”. Graas is a technology solution provider using predictive AI to turbo-charge growth for eCommerce businesses. Graas integrates traditional data silos and applies a machine-learning AI engine, acting as an in-house data scientist to predict trends and give real-time insights and actionable recommendations for brands. The platform can also turn insights into action by seamlessly executing these recommendations across marketplace store fronts, brand.coms, social and conversational commerce, performance marketing, inventory management, warehousing, and last mile logistics - all of which impacts a brand’s bottom line, driving profitable growth.
Location – Pune
Job Responsibilities
- Work closely with data scientists and data analysts to build models and continuous data monitoring workflows.
- Implement algorithms / models within companies recommendation engine framework.
- Own the MLOps life-cycle; build and own ML model life-cycle management process encompassing coding to building robust model monitoring workflows.
- Consult with product and business teams to build prototypes and then deploy holistic machine learning solutions.
- Recommend and implement architecture to deploy machine learning pipelines and CI/CD processes at scale
Skills Needed
- Minimum 3 years of experience as Machine Learning Engineer
- Knowledge of machine learning and statistics
- Strong experience working in the areas of time series analysis, reinforcement learning, NLP, optimization and heuristics based implementation to solve real-world problems
- Experienced in architecting solutions with Continuous Integration and Continuous Delivery in mind
- Strong knowledge of coding in Python and libraries such as Pandas, Numpy, Scikit-Learn, PyTorch, etc.
- Experience handling Big Data leveraging technologies like Snowflake, Spark. Ability to work in a big data ecosystem - expert in SQL and ability to work in distributed databases.
- Able to refactor data science code and has collaborated with data scientists in developing ML solutions.
- Experience playing the role of full-stack data scientist and taking solutions to production.
- Educational qualifications should be preferably in Computer Science, Statistics, Engineering or a related area.
Senior 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
Job Description
We are looking for a highly capable machine learning engineer to optimize our deep learning systems. You will be evaluating existing deep learning (DL) processes, do hyperparameter tuning, performing statistical analysis (logging and evaluating model’s performance) to resolve data set problems, and enhancing the accuracy of our AI software's predictive automation capabilities.
You will be working with technologies like AWS Sagemaker, TensorFlow JS, TensorFlow/ Keras/TensorBoard to create Deep Learning backends that powers our application.
To ensure success as a machine learning engineer, you should demonstrate solid data science knowledge and experience in Deep Learning role. A first-class machine learning engineer will be someone whose expertise translates into the enhanced performance of predictive automation software. To do this job successfully, you need exceptional skills in DL and programming.
Responsibilities
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Consulting with managers to determine and refine machine learning objectives.
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Designing deep learning systems and self-running artificial intelligence (AI) software to
automate predictive models.
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Transforming data science prototypes and applying appropriate ML algorithms and
tools.
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Carry out data engineering subtasks such as defining data requirements, collecting,
labeling, inspecting, cleaning, augmenting, and moving data.
-
Carry out modeling subtasks such as training deep learning models, defining
evaluation metrics, searching hyperparameters, and reading research papers.
-
Carry out deployment subtasks such as converting prototyped code into production
code, working in-depth with AWS services to set up cloud environment for training,
improving response times and saving bandwidth.
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Ensuring that algorithms generate robust and accurate results.
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Running tests, performing analysis, and interpreting test results.
-
Documenting machine learning processes.
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Keeping abreast of developments in machine learning.
Requirements
-
Proven experience as a Machine Learning Engineer or similar role.
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Should have indepth knowledge of AWS Sagemaker and related services (like S3).
-
Extensive knowledge of ML frameworks, libraries, algorithms, data structures, data
modeling, software architecture, and math & statistics.
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Ability to write robust code in Python & Javascript (TensorFlow JS).
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Experience with Git and Github.
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Superb analytical and problem-solving abilities.
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Excellent troubleshooting skills.
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Good project management skills.
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Great communication and collaboration skills.
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Excellent time management and organizational abilities.
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Bachelor's degree in computer science, data science, mathematics, or a related field;
Master’s degree is a plus.
About the Company:
This opportunity is for an AI Drone Technology startup funded by the Indian Army. It is working to develop cutting-edge products to help the Indian Army gain an edge in New Age Enemy Warfare.
They are working on using drones to neutralize terrorists hidden in deep forests. Get a chance to contribute to secure our borders against the enemy.
Responsibilities:
- Extensive knowledge in machine learning and deep learning techniques
- Solid background in image processing/computer vision
- Experience in building datasets for computer vision tasks
- Experience working with and creating data structures/architectures
- Proficiency in at least one major machine learning framework such as Tensorflow, Pytorch
- Experience visualizing data to stakeholders
- Ability to analyze and debug complex algorithms
- Highly skilled in Python scripting language
- Creativity and curiosity for solving highly complex problems
- Excellent communication and collaboration skills
Educational Qualification:
MS in Engineering, Applied Mathematics, Data Science, Computer Science or equivalent field, with 3 years industry experience, a PhD degree or equivalent industry experience.
Job Description
Niki is an artificially intelligent ordering application (http://niki.ai/app" target="_blank">niki.ai/app). Our founding team is from IIT Kharagpur, and we are looking for a Natural Language Processing Engineer to join our engineering team.
The ideal candidate will have industry experience solving language-related problems using statistical methods on vast quantities of data available from Indian mobile consumers and elsewhere.
Major responsibilities would be:
1. Create language models from text data. These language models draw heavily from statistical, deep learning as well as rule based research in recent times around building taggers, parsers, knowledge graph based dictionaries etc.
2. Develop highly scalable classifiers and tools leveraging machine learning, data regression, and rules based models
3. Work closely with product teams to implement algorithms that power user and developer-facing products
We work mostly in Java and Python and object oriented concepts are a must to fit in the team. Basic eligibility criteria are:
1. Graduate/Post-Graduate/M.S./
2. Industry experience of min 5 years.
3. Strong background in Natural Language Processing and Machine Learning
4. Have some experience in leading a team big or small.
5. Experience with Hadoop/Hbase/Pig or MaprReduce/Sawzall/Bigtable is a plus
Competitive Compensation.
What We're Building
We are building an automated messaging platform to simplify ordering experience for consumers. We have launched the Android App: http://niki.ai/app" target="_blank">niki.ai/app . In the current avatar, Niki can process mobile phone recharge and book cabs for the consumers. It assists in finding the right recharge plans across topup, 2g, 3g and makes the transaction. In cab booking, it helps in end to end booking along with tracking and cancellation within the App. You may also compare to get the nearest or the cheapest cab among available ones.
Being an instant messaging App, it works seamlessly on 2G / 3G / Wifi and is light weight around 3.6 MB. You may check out using: https://niki.ai/" target="_blank">niki.ai app