About Insane.ai
Mainstream fitness formats are a primitive solution to the modern problems of a sedentary lifestyle. At Insane.ai, we are merging gaming and fitness to change the way people workout. We use computer vision, AR and artificial intelligence on the edge to create delightful fitness games. We are a fast-paced, VC-funded startup based in Bangalore, founded by IIT Bombay graduates with deep experience in building internet products, AR/VR, and autonomous driving.
Position Summary
Are you passionate about building computers that can see? We are using AR technologies to build the future of interactive fitness. Our computer vision and ML pipeline converts your body to a game controller. As a computer vision engineer, you will be responsible for implementing and fine-tuning algorithms and deploying them to edge devices, to enable novel human-computer interaction. There will be a fair bit of research involved - we are building bleeding-edge tech!
If the combination of cutting edge user experiences, building delightful products for real users, and cutting-edge research appeals to you, then we’d love to talk.
What’s required of you
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Design, develop and maintain production computer vision systems that are used to enhance Insane.ai’s capabilities for the delight of our users.
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Collaborate cross-functionally with products, operations and other engineering teams to ship advanced computer vision solutions to enable new AR experiences.
What we are looking for
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1-3 years of hands-on experience in computer vision and machine learning projects to solve real-world problems involving vision tasks such as object detection, object tracking, instance segmentation, activity detection, depth estimation, optical flow, multi-view geometry, domain adaptation etc.
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Deep insights into data characteristics and the ability to map those to appropriate model architectures
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Working knowledge of SOTA techniques in CV, ML and Deep Learning in particular
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Strong Python programming skills and understanding of deep learning frameworks and workflows
What we are offering
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Competitive salary and equity packages
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Job is based in Bangalore. We work flexibly, combining working from home and in the office. Only candidates who can work in our Bangalore office a few days a week will be considered.
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Fast-paced startup environment with high autonomy and a culture of shipping things fast
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Your work will be at the bleeding edge of technology and lifestyle
About Insane AI
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Responsibilities:
- Designing and implementing fine-tuned production ready data/ML pipelines in Hadoop platform.
- Driving optimization, testing and tooling to improve quality.
- Reviewing and approving high level & amp; detailed design to ensure that the solution delivers to the business needs and aligns to the data & analytics architecture principles and roadmap.
- Understanding business requirements and solution design to develop and implement solutions that adhere to big data architectural guidelines and address business requirements.
- Following proper SDLC (Code review, sprint process).
- Identifying, designing, and implementing internal process improvements: automating manual processes, optimizing data delivery, etc.
- Building robust and scalable data infrastructure (both batch processing and real-time) to support needs from internal and external users.
- Understanding various data security standards and using secure data security tools to apply and adhere to the required data controls for user access in the Hadoop platform.
- Supporting and contributing to development guidelines and standards for data ingestion.
- Working with a data scientist and business analytics team to assist in data ingestion and data related technical issues.
- Designing and documenting the development & deployment flow.
Requirements:
- Experience in developing rest API services using one of the Scala frameworks.
- Ability to troubleshoot and optimize complex queries on the Spark platform
- Expert in building and optimizing ‘big data’ data/ML pipelines, architectures and data sets.
- Knowledge in modelling unstructured to structured data design.
- Experience in Big Data access and storage techniques.
- Experience in doing cost estimation based on the design and development.
- Excellent debugging skills for the technical stack mentioned above which even includes analyzing server logs and application logs.
- Highly organized, self-motivated, proactive, and ability to propose best design solutions.
- Good time management and multitasking skills to work to deadlines by working independently and as a part of a team.
Job Responsibilities
- Design machine learning systems
- Research and implement appropriate ML algorithms and tools
- Develop machine learning applications according to requirements
- 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
Requirements for the Job
- Bachelor’s/Master's/PhD in Computer Science, Mathematics, Statistics or equivalent field andmust have a minimum of 2 years of overall experience in tier one colleges
- Minimum 1 year of experience working as a Data Scientist in deploying ML at scale in production
- Experience in machine learning techniques (e.g. NLP, Computer Vision, BERT, LSTM etc..) andframeworks (e.g. TensorFlow, PyTorch, Scikit-learn, etc.)
- Working knowledge in deployment of Python systems (using Flask, Tensorflow Serving)
- Previous experience in following areas will be preferred: Natural Language Processing(NLP) - Using LSTM and BERT; chatbots or dialogue systems, machine translation, comprehension of text, text summarization.
- Computer Vision - Deep Neural Networks/CNNs for object detection and image classification, transfer learning pipeline and object detection/instance segmentation (Mask R-CNN, Yolo, SSD).
**Required** • 3+ years’ experience designing, developing, and implementing ML / AI algorithms • Strong programming skills in python, including fundamental software engineering principles and machine learning design patterns. • Experience with at least one Deep Learning framework such as TensorFlow, PyTorch, or Keras, or ML framework such as Scikit-learn • Demonstrated understanding in AI/ML algorithms, learning models, graphical models, overfitting, regularization, etc. • Experience in building ML pipelines for processing large datasets. • Understanding of state-of-the-art approaches to computer vision • Experience in working with medical images (MRI/CT/X-Ray, etc…) • Refereed publications in premiere computer vision and/or bioinformatics venues. • Deep knowledge of math (linear algebra), probability, statistics and algorithms • Outstanding analytical and problem-solving skills • Work well with in a fast moving, small team environment
Basic Qualifications:
- Five+ years experience working in a Big Data Software Development role
- Experience managing and deploying ML models in real world environments
- Bachelor's degree in Computer Science, Mathematics, Statistics, or other analytical fields
- Experience working with Python, Scala, Spark or other open-source software with data science libraries
- Experience in advanced math and statistics
- Excellent familiarity with command line linux environment
- Able to understand various data structures and common methods in data transformation
- Experience deploying machine learning models
Responsibilities
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Create data funnels to feed into models via web, structured and unstructured data
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Maintain coding standards using SDLC, Git, AWS deployments etc
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Keep abreast of developments in the field
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Deploy models in production and monitor them
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Documentations of processes and logic
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Take ownership of the solution from code to deployment and performance
Roles and Responsibilities
- Managing available resources such as hardware, data, and personnel so that deadlines are met.
- Analyzing the ML and Deep Learning algorithms that could be used to solve a given problem and ranking them by their success probabilities
- Exploring data to gain an understanding of it, then identifying differences in data distribution that could affect performance when deploying the model in the real world
- Defining validation framework and establish a process to ensure acceptable data quality criteria are met
- Supervising the data acquisition and partnership roadmaps to create stronger product for our customers.
- Defining feature engineering process to ensure usage of meaningful features given the business constraints which may vary by market
- Device self-learning strategies through analysis of errors from the models
- Understand business issues and context, devise a framework for solving unstructured problems and articulate clear and actionable solutions underpinned by analytics.
- Manage multiple projects simultaneously while demonstrating business leadership to collaborate & coordinate with different functions to deliver the solutions in a timely, efficient and effective manner.
- Manage project resources optimally to deliver projects on time; drive innovation using residual resources to create strong solution pipeline; provide direction, coaching & training, feedbacks to project team members to enhance performance, support development and encourage value aligned behaviour of the project team members; Provide inputs for periodic performance appraisal of project team members.
Preferred Technical & Professional expertise
- Undergraduate Degree in Computer Science / Engineering / Mathematics / Statistics / economics or other quantitative fields
- At least 2+ years of experience of managing Data Science projects with specializations in Machine Learning
- In-depth knowledge of cloud analytics tools.
- Able to drive Python Code optimization; ability review codes and provide inputs to improve the quality of codes
- Ability to evaluate hardware selection for running ML models for optimal performance
- Up to date with Python libraries and versions for machine learning; Extensive hands-on experience with Regressors; Experience working with data pipelines.
- Deep knowledge of math, probability, statistics and algorithms; Working knowledge of Supervised Learning, Adversarial Learning and Unsupervised learning
- Deep analytical thinking with excellent problem-solving abilities
- Strong verbal and written communication skills with a proven ability to work with all levels of management; effective interpersonal and influencing skills.
- Ability to manage a project team through effectively allocation of tasks, anticipating risks and setting realistic timelines for managing the expectations of key stakeholders
- Strong organizational skills and an ability to balance and handle multiple concurrent tasks and/or issues simultaneously.
- Ensure that the project team understand and abide by compliance framework for policies, data, systems etc. as per group, region and local standards
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 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, the Spinal Kinetics as our partners.
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.
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).
- Extensive understanding of computer vision/image processing applications like object classification, segmentation, object detection etc
- 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
- Work closely with your business to identify issues and use data to propose solutions for effective decision making
- Build algorithms and design experiments to merge, manage, interrogate and extract data to supply tailored reports to colleagues, customers or the wider organisation.
- Creating and using advanced machine learning algorithms and statistics: regression, simulation, scenario analysis, modeling, clustering, decision trees, neural networks, etc
- Querying databases and using statistical computer languages: R, Python, SLQ, etc.
- Visualizing/presenting data through various Dashboards for Data Analysis, Using Python Dash, Flask etc.
- Test data mining models to select the most appropriate ones for use on a project
- Work in a POSIX/UNIX environment to run/deploy applications
- Mine and analyze data from company databases to drive optimization and improvement of product development, marketing techniques and business strategies.
- Develop custom data models and algorithms to apply to data sets.
- Use predictive modeling to increase and optimize customer experiences, revenue generation, ad targeting and other business outcomes.
- Assess the effectiveness of data sources and data-gathering techniques and improve data collection methods
- Horizon scan to stay up to date with the latest technology, techniques and methods
- Coordinate with different functional teams to implement models and monitor outcomes.
- Stay curious and enthusiastic about using algorithms to solve problems and enthuse others to see the benefit of your work.
General Expectations:
- Able to create algorithms to extract information from large data sets
- Strong knowledge of Python, R, Java or another scripting/statistical languages to automate data retrieval, manipulation and analysis.
- Experience with extracting and aggregating data from large data sets using SQL or other tools
- Strong understanding of various NLP, and NLU techniques like Named Entity Recognition, Summarization, Topic Modeling, Text Classification, Lemmatization and Stemming.
- Knowledge and experience in statistical and data mining techniques: GLM/Regression, Random Forest, Boosting, Trees, etc.
- Experience with Python libraries such as Pandas, NumPy, SciPy, Scikit-Learn
- Experience with Jupyter / Pandas / Numpy to manipulate and analyse data
- Knowledge of Machine Learning techniques and their respective pros and cons
- Strong Knowledge of various Data Science Visualization Tools like Tableau, PowerBI, D3, Plotly, etc.
- Experience using web services: Redshift, AWS, S3, Spark, DigitalOcean, etc.
- Proficiency in using query languages, such as SQL, Spark DataFrame API, etc.
- Hands-on experience in HTML, CSS, Bootstrap, JavaScript, AJAX, jQuery and Prototyping.
- Hands-on experience on C#, Javascript, .Net
- Experience in understanding and analyzing data using statistical software (e.g., Python, R, KDB+ and other relevant libraries)
- Experienced in building applications that meet enterprise needs – secure, scalable, loosely coupled design
- Strong knowledge of computer science, algorithms, and design patterns
- Strong oral and written communication, and other soft skills critical to collaborating and engage with teams
About Us
upGrad is an online education platform building the careers of tomorrow by offering the most industry-relevant programs in an immersive learning experience. Our mission is to create a new digital-first learning experience to deliver tangible career impact to individuals at scale. upGrad currently offers programs in Data Science, Machine Learning, Product Management, Digital Marketing, and Entrepreneurship, etc. upGrad is looking for people passionate about management and education to help design learning programs for working professionals to stay sharp and stay relevant and help build the careers of tomorrow.
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upGrad was awarded the Best Tech for Education by IAMAI for 2018-19
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upGrad was also ranked as one of the LinkedIn Top Startups 2018: The 25 most sought-
after startups in India
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upGrad was earlier selected as one of the top ten most innovative companies in India
by FastCompany.
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We were also covered by the Financial Times along with other disruptors in Ed-Tech
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upGrad is the official education partner for Government of India - Startup India
program
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Our program with IIIT B has been ranked #1 program in the country in the domain of Artificial Intelligence and Machine Learning
Role Summary
Are you excited by the challenge and the opportunity of applying data-science and data- analytics techniques to the fast developing education technology domain? Do you look forward to, the sense of ownership and achievement that comes with innovating and creating data products from scratch and pushing it live into Production systems? Do you want to work with a team of highly motivated members who are on a mission to empower individuals through education?
If this is you, come join us and become a part of the upGrad technology team. At upGrad the technology team enables all the facets of the business - whether it’s bringing efficiency to ourmarketing and sales initiatives, to enhancing our student learning experience, to empowering our content, delivery and student success teams, to aiding our student’s for their desired careeroutcomes. We play the part of bringing together data & tech to solve these business problems and opportunities at hand.
We are looking for an highly skilled, experienced and passionate data-scientist who can come on-board and help create the next generation of data-powered education tech product. The ideal candidate would be someone who has worked in a Data Science role before wherein he/she is comfortable working with unknowns, evaluating the data and the feasibility of applying scientific techniques to business problems and products, and have a track record of developing and deploying data-science models into live applications. Someone with a strong math, stats, data-science background, comfortable handling data (structured+unstructured) as well as strong engineering know-how to implement/support such data products in Production environment.
Ours is a highly iterative and fast-paced environment, hence being flexible, communicating well and attention-to-detail are very important too. The ideal candidate should be passionate about the customer impact and comfortable working with multiple stakeholders across the company.
Roles & Responsibilities-
- 3+ years of experience in analytics, data science, machine learning or comparable role
- Bachelor's degree in Computer Science, Data Science/Data Analytics, Math/Statistics or related discipline
- Experience in building and deploying Machine Learning models in Production systems
- Strong analytical skills: ability to make sense out of a variety of data and its relation/applicability to the business problem or opportunity at hand
- Strong programming skills: comfortable with Python - pandas, numpy, scipy, matplotlib; Databases - SQL and noSQL
- Strong communication skills: ability to both formulate/understand the business problem at hand as well as ability to discuss with non data-science background stakeholders
- Comfortable dealing with ambiguity and competing objectives
Skills Required
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Experience in Text Analytics, Natural Language Processing
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Advanced degree in Data Science/Data Analytics or Math/Statistics
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Comfortable with data-visualization tools and techniques
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Knowledge of AWS and Data Warehousing
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Passion for building data-products for Production systems - a strong desire to impact
the product through data-science technique
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