About the Company
- š°Ā Early-stage, ed-tech, funded, growing, growing fast.
- šÆĀ Mission Driven: Make Indonesia competitive on a global scale.
- š„ Ā Build the best educational content and technology to advance STEM educationĀ
- š„Ā Students-First approach
About the People
- ā¤ļøĀ Love what we do
- š®Ā Committed to making learning fun, accessible, and safeĀ
- š¤Ā Teams are better. We value ownership, responsibility, transparency
- šĀ Global, diverse backgrounds. Been there, done that.
What does it look like one year from now?
- CoLearn has grown so much, and youāve been an important part of the growth. You solved hard problems that many didnāt know existed.
- Youāve led the data science function and laid out the roadmap, implemented best practices, and grown the team. Youāve executed mission-critical projects. Congratulations!
- Youāre exploring what Data Science can do for the students, parents, teachers, educators.
- Youāve been speaking at Data Science conferences about the image recognition system we built from scratch. You casually threw in the semantic search engine on slide 77.
- The engineering and product teams are your friends. The teams take cross-functional collaboration, testing, and modeling for granted. Itās their second nature.
- You have an encyclopedic knowledge of CoLearnās data structures and metrics, and youāve often provided key ideas for the product.
About you
- Highly-skilled and experienced Data Scientist and leader
- You are interested in creating next-gen data-powered education tech products.Ā
- Youāve worked in a Data Science role before where you took a data product to market
- You are comfortable working with unknowns, evaluating the data, and applying scientific techniques to business problems and products
- Youāve built platforms and systems from scratch
- You have a track record of developing and deploying data-science models to production
Letās talk tech
- End-to-end AI/ML systems in the cloud, including data processing, feature engineering, and tuning of ML models in training and production (MLOps)Ā āĀ with both structured and unstructured data.
- Deep Learning and Computer Vision models, ideally in a production environment
- Hands-on Python/SQL, scikit-learn, Keras, PyTorch, Tensorflow, MXnet, etc.Ā
- Experience in Scala/Java/Go/C/C++ is a plus plus
- Airflow/Luigi/Oozie and the likes
- Familiarity with cloud deployment strategies (AWS/GCP) to deploy at scale
Track record
- B.S./B.E./M.S./PhD in a quantitative field such as Computer Science, Engineering, Math, Statistics or equivalent years of experience
- 10+ years of experience in data science, algorithmic engineering, and machine learning. Preferably solved problems from scratch to scale
- Experience in hiring, managing highly-performant teams, and mentoring data science, data engineering, and analytics teamsĀ
- Experience developing a data science strategy, building the roadmap, and leading the execution
- Track record of recruiting talent in analytics and data science
You will make us go š if:
- Youāve won algorithm and machine learning competitions such as ACM and Kaggle
- You have research publications and citations in top tier journalsĀ
- You have a portfolio of side projects and can show it to us
About CoLearn
CoLearn is a EdTech platform that is improving the way students learn in Indonesia. Our platform empowers tuition centers and tutors to create engaging and interactive online learning experiences for their students. Our mission is to improve education standards for Indonesia's youth and make the country globally competitive.
Similar jobs
Data 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 asĀ Python, NLP and Bert, is a must
Strong analytical and critical thinking skills
Experience in building production quality models using state-of-the-art technologiesĀ
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 Bachelorās or Masterās degree in Computer Science, Statistics
or Mathematics or another quantitative field from a top tier Institute
Senior Data Scientist
Your goal: To improve the education process and improve the student experience through data.
Ā
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.
Ā
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.
Ā
Responsibilities:
ā¢ Translate product requirements into AIML/NLP solutions
ā¢ Be able to think out of the box and be able to design novel solutions for the problem at hand
ā¢ Write production-quality code
ā¢ Be able to design data and annotation collection strategies
ā¢ Identify key evaluation metrics and release requirements for data products
ā¢ Integrate new data and design workflows
ā¢ Innovate, share, and educate team members and community
Ā
Requirements:
ā¢ Working experience in machine learning, NLP, recommendation systems, experimentation, or related fields, with a specialization in NLP ā¢ Working experience on large language models that cater to multiple tasks such as text generation, Q&A, summarization, translation etc is highly preferred
ā¢ Knowledge on MLOPs and deployment pipelines is a must
ā¢ Expertise on supervised, unsupervised and reinforcement ML algorithms.
ā¢ Strong programming skills in Python
ā¢ Top data wrangling skills using SQL or NOSQL queries
ā¢ Experience using containers to deploy real-time prediction services
ā¢ Passion for using technology to help students
ā¢ Excellent communication skills
ā¢ Good team player and a self-starter
ā¢ Outstanding analytical and problem-solving skills
ā¢ Experience working with ML pipeline products such as AWS Sagemaker, Google ML, or Databricks a plus.
Ā
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, weāve 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.
Ā
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 TITLE -Ā Product Development Engineer -Ā MachineĀ Learning
ā Work Location: Hyderabad
ā Full-time
Ā
Company Description
Phenom PeopleĀ is the leader inĀ Talent Experience Marketing (TXM for short). Weāre an early-stage startup on a mission to fundamentally transform how companies acquire talent. As a category creator, our goals are two-fold: to educate talent acquisition and HR leaders on the benefits of TXM and to help solve their recruiting pain points.
Ā
Job Responsibilities:
- Design and implementĀ machineĀ learning, information extraction, probabilistic matching algorithms and models
- Research and develop innovative, scalable and dynamic solutions to hard problems
- Work closely with Machine Learning Scientists (PhDs), ML engineers, data scientists and data engineers to address challenges head-on.
- Use the latest advances in NLP, data science andĀ machineĀ learningĀ to enhance our products and create new experiences
- ScaleĀ machineĀ learningĀ algorithm that powers our platform to support our growing customer base and increasing data volume
- Be a valued contributor in shaping the future of our products and services
- You will be part of our Data Science & Algorithms team and collaborate with product management and other team members
- Be part of a fast pace, fun-focused, agile team
Job Requirement:
- 4+ years of industry experience
- Ph.D./MS/B.Tech in computer science, information systems, or similar technical field
- Strong mathematics, statistics, and data analytics
- Solid coding and engineering skills preferably inĀ MachineĀ LearningĀ (not mandatory)
- Proficient in Java, Python, and Scala
- Industry experience building and productionizing end-to-end systems
- Knowledge of Information Extraction, NLP algorithms coupled withĀ DeepĀ Learning
- Experience with data processing and storage frameworks like Hadoop, Spark, Kafka etc.
Position Summary
Weāre looking for aĀ MachineĀ LearningĀ Engineer to join our team of Phenom. We are expecting the below points to full fill this role.
- Capable of building accurateĀ machineĀ learningĀ models is the main goal of aĀ machineĀ learningĀ engineer
- Linear Algebra, Applied Statistics and Probability
- Building Data Models
- Strong knowledge of NLP
- Good understanding of multithreaded and object-oriented software development
- Mathematics, Mathematics and Mathematics
- Collaborate with Data Engineers to prepare data models required forĀ machineĀ learningĀ models
- Collaborate with other product team members to apply state-of-the-art Ai methods that include dialogue systems, natural language processing, information retrieval and recommendation systems
- Build large-scale software systems and numerical computation topics
- Use predictive analytics and data mining to solve complex problems and drive business decisions
- Should be able to design the accurate ML end-to-end architecture including the data flows, algorithm scalability, and applicability
- Tackle situations where problem is unknown and the Solution is unknown
- Solve analytical problems, and effectively communicate methodologies and results to the customers
- Adept at translating business needs into technical requirements and translating data into actionable insights
- Work closely with internal stakeholders such as business teams, product managers, engineering teams, and customer success teams.
Benefits
- Competitive salary for a startup
- Gain experience rapidly
- Work directly with the executive team
- Fast-paced work environment
Ā
About Phenom People
AtĀ PhenomPeople, we believe candidates (Job seekers)Ā are consumers. Thatās why weāre bringing e-commerce experience to the job search, with a view to convert candidates into applicants. The Intelligent Career Siteā¢ platform delivers the most relevant and personalized job search yet, with a career site optimized for mobile and desktop interfaces designed to integrate with any ATS, tailored content selection like Glassdoor reviews, YouTube videos and LinkedIn connections based on candidate search habits and an integrated real-time recruiting analytics dashboard.
Ā
Ā Use Company career sites to reach candidates and encourage them to convert. The Intelligent Career Siteā¢ offers a single platform to serve candidates a modern e-commerce experience from anywhere on the globe and on any device.
Ā We track every visitor that comes to the Company career site. Through fingerprinting technology, candidates are tracked from the first visit and served jobs and content based on their location, click-stream, behavior on site, browser and device to give each visitor the most relevant experience.
Ā Like consumers, candidates research companies and read reviews before they apply for a job. Through our understanding of the candidate journey, we are able to personalize their experience and deliver relevant content from sources such as corporate career sites, Glassdoor, YouTube and LinkedIn.
Ā We give you clear visibility into the Company's candidate pipeline. By tracking up to 450 data points, we build profiles for every career site visitor based on their site visit behavior, social footprint and any other relevant data available on the open web.
Ā Gain a better understanding of Companyās recruiting spending and where candidates convert or drop off from Companyās career site. The real-time analytics dashboard offers companies actionable insights on optimizing source spending and the candidate experience.
Ā
Kindly explore about the company phenom (https://www.phenom.com/">https://www.phenom.com/)
Youtube -Ā https://www.youtube.com/c/PhenomPeople">https://www.youtube.com/c/PhenomPeople
LinkedIn -Ā https://www.linkedin.com/company/phenompeople/">https://www.linkedin.com/company/phenompeople/
https://www.phenom.com/">Phenom | Talent Experience Management
Designing and developing NLP applications
Using effective text representation techniques and classification algorithms
Proven experience as an NLP Engineer or similar role
Understanding of NLP techniques for text representation, semantic extraction techniques, data structures and modeling
Working knowledge on pretrained NLP Models (ULMFiT, Transformer, BERT etc)
Ability to effectively design software architecture
Deep understanding of text representation techniques (such as n-grams, bag of words, sentiment analysis etc), statistics and classification algorithms
Proficiency with a deep learning framework such as TensorFlow, Keras or PyTorch) and libraries (like scikit-learn, Pandas and Numpy)
Proficiency with Python and basic libraries for machine learning.
Proficiency with IDEs ā Jupyter Notebook, Spyder, Anaconda environments.
Familiarity with Linux (Centos and Ubuntu)
Ability to select hardware to run an ML model with the required latency
Excellent communication skills
Ability to work in a team
Outstanding analytical and problem-solving skills
Develop machine learning pipeline
Select appropriate datasets and data representation methods
Run machine learning tests and experiments
Perform statistical analysis and fine-tuning using test results
Train and retrain systems when necessary
Experience with Git based version control
Extend existing ML libraries and frameworks
Keep abreast of developments in the field
Research and implement MLOps tools, frameworks and platforms for our Data Science projects.
About the Role:Ā Ā
As a Speech Engineer you will be working on development of on-device multilingual speech recognition systems.Ā
- Apart from ASR you will be working on solving speech focused research problems like speech enhancement, voice analysis and synthesis etc.Ā
- You will be responsible for building complete pipeline for speech recognition from data preparation to deployment on edge devices.Ā
- Reading, implementing and improving baselines reported in leading research papers will be another key area of your daily life at Saarthi.Ā
Requirements:Ā Ā
- 2-3 year of hands-on experience in speech recognitionbased projectsĀ
- Proven experience as a Speech engineer or similar roleĀ
- Should have experience of deployment on edge devicesĀ
- Candidate should have hands-on experience with open-source tools such as Kaldi, Pytorch-Kaldi and any of the end-to-end ASR tools such as ESPNET or EESEN or DeepSpeech Pytorch
- Prior proven experience in training and deployment of deep learning models on scaleĀ
- Strong programming experience in Python,C/C++, etc.Ā
- Working experience with Pytorch and Tensorflow
- Experience contributing to research communities including publications at conferences and/or journalsĀ
- Strong communication skillsĀ
- Strong analytical and problem-solving skills
The role involves computer vision tasks including development, customization and training of Convolutional Neural Networks (CNNs); application of ML techniques (SVM, regression, clustering etc. ) and traditional Image Processing (OpenCV etc. ). The role is research focused and would involve going through and implementing existing research papers, deep dive of problem analysis, generating new ideas, automating and optimizing key processes.
Ā
Requirements:
- 2 - 4 years of relevant experience in solving complex real-world problems at scale via deep learning, computer vision or AI
- Python, cuDNN, Tensorflow/PyTorch/Keras (or similar Deep Learning frameworks).
- CNNs, RNNs, Transfer learning (for image classification, segmentation, object detection etc).
- Image Processing techniques using OpenCV or other white-box image feature extraction algorithms.
- End to end deployment of deep learning models.
Sr AI Scientist, Bengaluru |
Job Description
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 donāt 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, the Spinal Kinetics as our partners.
Ā Your Roles and Responsibilities
The role involves computer vision tasks including development, customization and training of Convolutional Neural Networks (CNNs); application of ML techniques (SVM, regression, clustering etc.) and traditional Image Processing (OpenCV etc.). The role is research focused and would involve going through and implementing existing research papers, deep dive of problem analysis, generating new ideas, automating and optimizing key processes.
Ā
Requirements:
- 4+ years of relevant experience in solving complex real-world problems at scale via computer vision based deep learning.
- Strong problem-solving ability
- Prior experience with Python, cuDNN, Tensorflow, PyTorch, Keras, Caffe (or similar Deep Learning frameworks).Ā
- Extensive understanding of computer vision/image processing applications like object classification, segmentation, object detection etcĀ
- Ability to write custom Convolutional Neural Network Architecture in Pytorch (or similar)
- Experience of GPU/DSP/other Multi-core architecture programming
- Effective communication with other project members and project stakeholders
- Detail-oriented, eager to learn, acquire new skills
- Prior Project Management and Team Leadership experience
- Ability to plan work and meet deadlines
- Perform research and development on Machine Learning specifically in the areas of Speech Recognition, Digital signal processing, audio signal processing, NaturalLanguage processing, Natural Language Understanding
- Read and keep up with the research in Speech recognition, Machine Learning, Deep
- Understand and implement research papers to the business problem and build the
- Contribute to applied research and open source community
- Mentor and guide team members
About the Company:
This opportunity is for anĀ 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
Ā
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.