About Busigence Technologies
Busigence is a Decision Intelligence Company. We create decision intelligence products for real people by combining data, technology, business, and behavior enabling strengthened decisions.
Scaling established startup by IIT alumni innovating & disrupting marketing domain through artificial intelligence. We bring those people onboard who are dedicated to deliver wisdom to humanity by solving the world's most pressing problems differently thereby significantly impacting thousands of souls, everyday.
We are a deep rooted organization with six years of success story having worked with folks from top tier background (IIT, NSIT, DCE, BITS, IIITs, NITs, IIMs, ISI etc.) maintaining an awesome culture with a common vision to build great data products.
In past we have served fifty five customers and presently developing our second product, Robonate . First was emmoQ - an emotion intelligence platform. Third offering, H2HData , an innovation lab where we solve hard problems through data, science, & design.
We work extensively & intensely on big data, data science, machine learning, deep learning, reinforcement learning, data analytics, natural language processing, cognitive computing, and business intelligence.
We try real hard to hire fun loving crazy folks who are driven by more than a paycheck. You shall be working with creamiest talent on extremely challenging problems at most happening workplace.
Our mission is to make the world decision intelligent. We envision to have worked on atleast 1% of worlds data by 2020.
Why Explore a Career at Busigence
This section should have been entitled - Why Explore a Challenge at Busigence. What?
Busigence is not for everyone. This is the strongest differentiator. How?
Skills are secondary for us. We believe in intentions, not capabilities. Why?
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If the above three are not understood and/or interest you, we would encourage you refrain applying to us. You won't be actually able to work with us.
80-85% candidates looks for a job in an open position. 85-98% forsee a career in it. Hardly 2% are able to realise it as a challenge, which may satisfy their soul.
We look for these 2%. PERIOD.
If you happen to be fortunately falling in this group then world is too small for you. Reason being there are very few organisations which can really meet your expectations.
We can! Busigence works on real hard problems. Solving customer's problem is our passion.
1. We do where world is moving. Artificial Intelligence. Real AI.
2. We are a real startup culture (this is not bean bags or open office or flexible hours. It is a spirit to create something which doesn't exist).
3. We hire creme de la creme. Coincidentally, it happens to be candidates from topmost tier (IIT & equivalent). People enjoy working with like minded people.
4. You will be empowered everyday and make you feel an entrepreneurial trait in you.
5. This will be Greatest Work of Your Life. Promise!
Busigence Interview Process
We don't hire, we handpick - Believe with us. Laugh with us. Work with us.
For formality,
Step 1 : Apply iff you meet Real Role's & Ideal You's
Step 2 : Round 0: First call followed by Application Form
Step 3 : Round 1: Technology/ Process/ Business Capability Evaluation
Step 4 : Round 2: Day Spent (1 or 2 days) working with us
Enough. We are Done.
Similar jobs
- We are looking for a seasoned Computer Vision Engineer with AI/ML/CV and Deep Learning skills to
play a senior leadership role in our Product & Technology Research Team.
- You will be leading a team of CV researchers to build models that automatically transform millions of ecommerce, automobiles, food, real-estate ram images into processed final images.
- You will be responsible for researching the latest art of the possible in the field of computer vision,
designing the solution architecture for our offerings and lead the Computer Vision teams to build the core
algorithmic models & deploy them on Cloud Infrastructure.
- Working with the Data team to ensure your data pipelines are well set up and
models are being constantly trained and updated
- Working alongside product team to ensure that AI capabilities are built as democratized tools that
provides internal as well external stakeholders to innovate on top of it and make our customers
successful
- You will work closely with the Product & Engineering teams to convert the models into beautiful products
that will be used by thousands of Businesses everyday to transform their images and videos.
Job Description :
- We are looking for a seasoned Computer Vision Engineer with AI/ML/CV and Deep Learning skills to
play a senior leadership role in our Product & Technology Research Team.
- You will be leading a team of CV researchers to build models that automatically transform millions of ecommerce, automobiles, food, real-estate ram images into processed final images.
- You will be responsible for researching the latest art of the possible in the field of computer vision,
designing the solution architecture for our offerings and lead the Computer Vision teams to build the core
algorithmic models & deploy them on Cloud Infrastructure.
- Working with the Data team to ensure your data pipelines are well set up and
models are being constantly trained and updated
- Working alongside product team to ensure that AI capabilities are built as democratized tools that
provides internal as well external stakeholders to innovate on top of it and make our customers
successful
- You will work closely with the Product & Engineering teams to convert the models into beautiful products
that will be used by thousands of Businesses everyday to transform their images and videos.
Kwalee is one of the world’s leading multiplatform game publishers and developers, with well over 750 million downloads worldwide for mobile hits such as Draw It, Teacher Simulator, Let’s Be Cops 3D, Airport Security and Makeover Studio 3D. Alongside this, we also have a growing PC and Console team of incredible pedigree that is on the hunt for great new titles to join TENS!, Eternal Hope, Die by the Blade and Scathe.
We have a team of talented people collaborating daily between our studios in Leamington Spa, Bangalore and Beijing, or on a remote basis from Turkey, Brazil, the Philippines and many more places, and we’ve recently acquired our first external studio, TicTales which is based in France. We have a truly global team making games for a global audience. And it’s paying off: Kwalee has been recognised with the Best Large Studio and Best Leadership awards from TIGA (The Independent Game Developers’ Association) and our games have been downloaded in every country on earth!
Founded in 2011 by David Darling CBE, a key architect of the UK games industry who previously co-founded and led Codemasters for many years, our team also includes legends such as Andrew Graham (creator of Micro Machines series) and Jason Falcus (programmer of classics including NBA Jam) alongside a growing and diverse team of global gaming experts. Everyone contributes creatively to Kwalee’s success, with all employees eligible to pitch their own game ideas on Creative Wednesdays, and we’re proud to have built our success on this inclusive principle. Could your idea be the next global hit?
What’s the job?
As the Lead Game Analyst you will own the optimisation of in-game features and design, utilising A-B testing and multivariate testing of in-game components.
What you will be doing
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Play a crucial role in finding the best people to work on your team.
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Manage the delivery of reports and analysis from the team.
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Investigate how millions of players interact with Kwalee games.
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Perform statistical analysis to quantify the relationships between game elements and player engagement.
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Design experiments which extract the most valuable information in the shortest time.
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Develop testing plans which reveal complex interactions between game elements.
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Collaborate with the design team to come up with the most effective tests.
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Regularly communicate results with development, management and data science teams.
How you will be doing this
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You’ll be part of an agile, multidisciplinary and creative team and work closely with them to ensure the best results.
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You'll think creatively and be motivated by challenges and constantly striving for the best.
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You’ll work with cutting edge technology, if you need software or hardware to get the job done efficiently, you will get it. We even have a robot!
Team
Our talented team is our signature. We have a highly creative atmosphere with more than 200 staff where you’ll have the opportunity to contribute daily to important decisions. You’ll work within an extremely experienced, passionate and diverse team, including David Darling and the creator of the Micro Machines video games.
Skills and Requirement
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A degree in a numerically focussed degree discipline such as, Maths, Physics, Economics, Chemistry, Engineering, Biological Sciences.
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An extensive record of outstanding contribution to data analysis projects.
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Expert in using Python for data analysis and visualisation.
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Experience manipulating data in SQL databases.
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Experience managing and onboarding new team members.
We offer
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We want everyone involved in our games to share our success, that’s why we have a generous team profit sharing scheme from day 1 of employment
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In addition to a competitive salary we also offer private medical cover and life assurance
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Creative Wednesdays! (Design and make your own games every Wednesday)
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20 days of paid holidays plus bank holidays
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Hybrid model available depending on the department and the role
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Relocation support available
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Great work-life balance with flexible working hours
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Quarterly team building days - work hard, play hard!
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Monthly employee awards
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Free snacks, fruit and drinks
Our philosophy
We firmly believe in creativity and innovation and that a fundamental requirement for a successful and happy company is having the right mix of individuals. With the right people in the right environment anything and everything is possible.
Kwalee makes games to bring people, their stories, and their interests together. As an employer, we’re dedicated to making sure that everyone can thrive within our team by welcoming and supporting people of all ages, races, colours, beliefs, sexual orientations, genders and circumstances. With the inclusion of diverse voices in our teams, we bring plenty to the table that’s fresh, fun and exciting; it makes for a better environment and helps us to create better games for everyone! This is how we move forward as a company – because these voices are the difference that make all the difference.
Senior Machine Learning Engineer
at Docsumo
About Us :
Docsumo is Document AI software that helps enterprises capture data and analyze customer documents. We convert documents such as invoices, ID cards, and bank statements into actionable data. We are work with clients such as PayU, Arbor and Hitachi and backed by Sequoia, Barclays, Techstars, and Better Capital.
As a Senior Machine Learning you will be working directly with the CTO to develop end to end API products for the US market in the information extraction domain.
Responsibilities :
- You will be designing and building systems that help Docsumo process visual data i.e. as PDF & images of documents.
- You'll work in our Machine Intelligence team, a close-knit group of scientists and engineers who incubate new capabilities from whiteboard sketches all the way to finished apps.
- You will get to learn the ins and outs of building core capabilities & API products that can scale globally.
- Should have hands-on experience applying advanced statistical learning techniques to different types of data.
- Should be able to design, build and work with RESTful Web Services in JSON and XML formats. (Flask preferred)
- Should follow Agile principles and processes including (but not limited to) standup meetings, sprints and retrospectives.
Skills / Requirements :
- Minimum 3+ years experience working in machine learning, text processing, data science, information retrieval, deep learning, natural language processing, text mining, regression, classification, etc.
- Must have a full-time degree in Computer Science or similar (Statistics/Mathematics)
- Working with OpenCV, TensorFlow and Keras
- Working with Python: Numpy, Scikit-learn, Matplotlib, Panda
- Familiarity with Version Control tools such as Git
- Theoretical and practical knowledge of SQL / NoSQL databases with hands-on experience in at least one database system.
- Must be self-motivated, flexible, collaborative, with an eagerness to learn
Senior / Principal Data Scientist
About Role:
Want to shape the future of Energy through Data Science? We have the data and if you have got the skills to unlock the patterns behind how a little change in one input parameter can have so much impact on the optimized Energy output parameters, like energy price.
The Energy Exemplar (EE) data team is looking for an experienced Applied ML Data Scientist to join our Pune office. The data team is committed to helping EE customers keep a check on how heat rate, capacity expansion and daily unit commitment are subject to variations in demand, renewables, gas price, etc. There are lots of such use cases. By continuously gathering and analysing data, and by working with organizations inside and outside EE, the data team stays agile to combat evolving challenges. Our mission is to help advice customers and systems with industry-leading proactive optimal predictions and engage in valuable partnerships.
As a dedicated Data Scientist on our Research team, you will apply data science and your machine learning expertise to enhance our intelligent systems to predict and provide proactive advice. You’ll work with the team to identify and build features, create experiments, vet ML models, and ship successful models that provide value additions for hundreds of EE customers.
At EE, you’ll have access to vast amounts of energy-related data from our sources. Our data pipelines are curated and supported by engineering teams (so you won't have to do much data engineering - you get to do the fun stuff.) We also offer many company-sponsored classes and conferences that focus on data science and ML. There’s great growth opportunity for data science at EE.
Responsibilities
- Monitor and analyze data to uncover optimization gaps
- Develop high-performance algorithms, machine learning models, or other methodologies to close optimization gaps.
- Identify performant features and models and make them universally accessible to our teams across EE.
- Provide technical leadership to our team by reviewing problem sets, proposing prediction models, and reviewing experiments and models.
- Act as a resident expert for machine learning, statistics, and experiment design.
Qualifications
- 5+ years of professional experience in experiment design and applied machine learning predicting outcomes in large-scale, complex datasets.
- Proficiency in Python, Azure ML, or other statistics/ML tools.
- Proficiency in Deep Neural Network, Python based frameworks.
- Proficiency in Azure DataBricks, Hive, Spark.
- Proficiency in deploying models into production (Azure stack).
- Moderate coding skills. SQL or similar required. C# or other languages strongly preferred.
- Outstanding communication and collaboration skills. You can learn from and teach others.
- Strong drive for results. You have a proven record of shepherding experiments to create successful shipping products/services.
- Experience with prediction in adversarial (energy) environments highly desirable.
- Understanding of the model development ecosystem across platforms, including development, distribution, and best practices, highly desirable.
- A Masters or Ph.D degree with coursework in Statistics, Data Science, Experimentation Design, and Machine Learning highly desirable
- Conducting advanced statistical analysis to provide actionable insights, identify trends, and measure performance
- Performing data exploration, cleaning, preparation and feature engineering; in addition to executing tasks such as building a POC, validation/ AB testing
- Collaborating with data engineers & architects to implement and deploy scalable solutions
- Communicating results to diverse audiences with effective writing and visualizations
- Identifying and executing on high impact projects, triage external requests, and ensure timely completion for the results to be useful
- Providing thought leadership by researching best practices, conducting experiments, and collaborating with industry leaders
What you need to have:
- 2-4 year experience in machine learning algorithms, predictive analytics, demand forecasting in real-world projects
- Strong statistical background in descriptive and inferential statistics, regression, forecasting techniques.
- Strong Programming background in Python (including packages like Tensorflow), R, D3.js , Tableau, Spark, SQL, MongoDB.
- Preferred exposure to Optimization & Meta-heuristic algorithm and related applications
- Background in a highly quantitative field like Data Science, Computer Science, Statistics, Applied Mathematics,Operations Research, Industrial Engineering, or similar fields.
- Should have 2-4 years of experience in Data Science algorithm design and implementation, data analysis in different applied problems.
- DS Mandatory skills : Python, R, SQL, Deep learning, predictive analysis, applied statistics
Computer Vision Engineer
at ClearQuote
Role:
1. Work on identifying and implementing data pre-processing pipelines for various datasets (images, videos) based on problem statement
2. Experimentation, Identifying, testing the right techniques / Deep Learning libraries to use to train models
3. Training models for inferencing on cloud and edge
4. Work on improving the accuracy of deployed models
Requirements :
1. Experience in state-of-the-art Deep Learning Convolutional Neural Networks
2. Sound knowledge of Object detection, Semantic segmentation, Instance segmentation (Faster-RCNN, Single Shot Detector(SSD), Mask RCNN, Mobile-net)
3. Hands-on experience in classic Image Processing Techniques (feature engineering) using OpenCV, Pillow
4. Proficiency in Python along with OOPs concepts
5. Should be comfortable building ML models on various deep learning and machine learning libraries using Pytorch
6. Work experience in a startup environment is essential
Work shift: Day time
- Strong problem-solving skills with an emphasis on product development.
insights from large data sets.
• Experience in building ML pipelines with Apache Spark, Python
• Proficiency in implementing end to end Data Science Life cycle
• Experience in Model fine-tuning and advanced grid search techniques
• Experience working with and creating data architectures.
• Knowledge of a variety of machine learning techniques (clustering, decision tree learning, artificial neural
networks, etc.) and their real-world advantages/drawbacks.
• Knowledge of advanced statistical techniques and concepts (regression, properties of distributions,
statistical tests and proper usage, etc.) and experience with applications.
• Excellent written and verbal communication skills for coordinating across teams.
• A drive to learn and master new technologies and techniques.
• Assess the effectiveness and accuracy of new data sources and data gathering techniques.
• 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.
• Develop company A/B testing framework and test model quality.
• Coordinate with different functional teams to implement models and monitor outcomes.
• Develop processes and tools to monitor and analyze model performance and data accuracy.
Key skills:
● Strong knowledge in Data Science pipelines with Python
● Object-oriented programming
● A/B testing framework and model fine-tuning
● Proficiency in using sci-kit, NumPy, and pandas package in python
Nice to have:
● Ability to work with containerized solutions: Docker/Compose/Swarm/Kubernetes
● Unit testing, Test-driven development practice
● DevOps, Continuous integration/ continuous deployment experience
● Agile development environment experience, familiarity with SCRUM
● Deep learning knowledge
NLP Engineer - Artificial Intelligence
at Artivatic.ai
Machine Learning Engineer
2. Should understand the importance and know-how of taking the machine-learning-based solution to the consumer.
3. Hands-on experience with statistical, machine-learning tools and techniques
4. Good exposure to Deep learning libraries like Tensorflow, PyTorch.
5. Experience in implementing Deep Learning techniques, Computer Vision and NLP. The candidate should be able to develop the solution from scratch with Github codes exposed.
6. Should be able to read research papers and pick ideas to quickly reproduce research in the most comfortable Deep Learning library.
7. Should be strong in data structures and algorithms. Should be able to do code complexity analysis/optimization for smooth delivery to production.
8. Expert level coding experience in Python.
9. Technologies: Backend - Python (Programming Language)
10. Should have the ability to think long term solutions, modularity, and reusability of the components.
11. Should be able to work in a collaborative way. Should be open to learning from peers as well as constantly bring new ideas to the table.
12. Self-driven missile. Open to peer criticism, feedback and should be able to take it positively. Ready to be held accountable for the responsibilities undertaken.
