Researcher - Deep Learning & AI

at Busigence Technologies

DP
Posted by Seema Verma
icon
Bengaluru (Bangalore)
icon
1 - 5 yrs
icon
₹10L - ₹50L / yr
icon
Full time
Skills
Deep Learning
Artificial Intelligence (AI)
Machine Learning (ML)
Data Science
Artificial Neural Network (ANN)
Research & Development
APPLY LINK: http://bit.ly/2F83vxU Go through the entire job post thoroughly before pressing Apply. There is an eleven characters french word v*n*i*r*t*e mentioned somewhere in the whole text which is irrelevant to the context. You shall be required to enter this word while applying else application won't be considered submitted. ````````````````````````````````````````````````````````````````````````````````````````````````````` Researcher - Deep Learning & AI Team: Research Full-Time, Permanent Bangaluru, India Relevant Exp: 6 months - 5 Years Background: Top Tier institute + Startup exposure Compensation: INR 10-50 LPA . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 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. First-and-Foremost Before you dive-in exploring this opportunity and press Apply, we wish you to evaluate yourself - We are looking for right candidate, not the best candidate. We love to work with someone who can mandatorily gel with our vision, beliefs, thoughts, methods, and values --- which are aligned with what can be expected in a true startup with ambitious goals. Skills are always secondary to us. Primarily, you must be someone who is not essentially looking for a job or career, rather starving for a challenge, you yourself probably don't know since when. A book can be written on what an applicant must have before joining a . For brevity, in nutshell, we need these three in you: 1. You must be [super sharp] (Just an analogue, but Irodov, Mensa, Feynman, Polya, ACM, NIPS, ICAAC, BattleCode, DOTA etc should have been your Done stuff. Can you relate solution 1 to problem 2? or Do you get confused even when solved similar problem in past? Are you able to grasp problem statement in one go? or get hanged?) 2. You must be [extremely energetic] (Do you raise eyebrows when asked to stretch your limits, both in terms of complexity or extra hours to put in? What comes first in your mind, let's finish it today or this can be done tomorrow too? Its Friday 10 PM at work -Tired?) 3. You must be [honourably honest] (Do you tell others what you think, or what they want to hear? Later is good for sales team for their customers, not for this role. Are you honest with your work? intrinsically with yourself first?) You know yourself the best. If not ask your loved ones and then decide. We clearly need exceedingly motivated people with entrepreneurial traits, not employee mindset - not at all. This is an immediate requirement. We shall have an accelerated interview process for fast closure - you would be required to be proactive and responsive. Real ROLE We are looking for researchers with real passion for deep learning. You would be required to work with our research team on several deep learning applications. Mandatory R1. Must know in-and-out of functional programming in Python with strong flair for data structures, linear algebra, & algorithms implementation R2. Must be able to apply state-of-art deep learning models to our existing research and develop entirely new methods, which are advanced & modern R3. Must have designed multiple deep learning techniques solving complex business scenarios preferably from marketing domain across industries R4. Must have designed proven pre-processing techniques on unstructured (image, audio, video, text, logs) and time-series data R5. Must have designed CNN, RNN (atleast three variants including LSTM), Auto Encoders, DBN, MLP, RBM R6. Must have tweaked & trained on deep learning architectures mainly AlexNet, ResNet, RCNN, GAN R7. Must have worked on classification, clustering, computer vision, speech recognition, text summarization, time-series analysis R8. Must have firm understanding of the underlying mathematics will be needed to adapt modelling techniques to fit the problem space with large data (10M+ entities) R9. Must be extremely strong working knowledge on Python scientific stack (NumPy, SciPy, Matplotlib, Scikit-learn, Pandas, Stats model, Seaborn, PyBrain) and atleast basic working knowledge on TensorFlow. R/ SAS/ SPSS etc are not acceptable. Preferred R10. Good to have knowledge and practical experience in application of Supervised Learning algorithms, Bayesian methods, Gaussian processes, Combinatorial optimization, Meta Learning, Transfer Learning, Convex optimization, Sparse methods, Kernel methods, Stochastic process, Statistical learning theory, and Approximate inference R11. Good to have working knowledge of first-class, high order, & pure functions, recurisons, lazy evaluations, and immutable data structures R12. Good to have worked on Tensorboard, Saving & Restoring models, Continue Training R13. Good to have worked on Keras on top of TensorFlow R14. Good to have worked on Reinforcement Learning and Generative Adverbial Networks R15. Great problem solver with extremely high curiosity on data processing & patterns Ideal YOU Y1. Degree in engineering, or any other data-heavy field at Bachelors/Masters/Ph.D level or above from a top tier institute Y2. Relevant experience of 0.5 - 5 years working on real-world problems in a research lab or a reputed company or a proven startup Y3. You are a fanatical implementer who love to spend time with findings & innovations, more than your loved ones Y4. You are true believer that human intelligence can be augmented through computer science & mathematics and your survival vinaigrette depends on getting the most from the data Y5. You are an entrepreneur mindset with ownership, intellectuality, & creativity as way to work. These are not fancy words, we mean it Actual WE W1. Real startup with Meaningful products W2. Revolutionary not just disruptive W3. Rules creators not followers W4. Small teams with real brains not herd of blockheads W5. Completely trust us and should be trusted back Why Us In addition to the regular stuff which every good startup offers – Lots of learning, Food, Parties, Open culture, Flexible working hours, and what not…. We offer you: You shall be working on our revolutionary products which are pioneer in their respective categories. This is a fact. 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. How to Apply You should apply online by clicking "Apply Now". For queries regarding an open position, please write to [email protected] For more information, visit http://www.busigence.com Careers: http://careers.busigence.com Research: http://research.busigence.com Jobs: http://careers.busigence.com/jobs/research Feel right fit for the position, mandatorily attach PDF resume highlighting your A. Key Skills B. Knowledge Inputs C. Major Accomplishments D. Problems Solved E. Submissions – Github/ StackOverflow/ Kaggle/ Euler Project etc. (if applicable) If you don't see this open position that interests you, join our Talent Pool and let us know how you can make a difference here. Referrals are more than welcome. Keep us in loop.

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?

------------------------------------------------------------------------------------------------------------------------

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.

Founded
2012
Type
Product
Size
20-100 employees
Stage
Bootstrapped
View full company details
Why apply to jobs via Cutshort
Personalized job matches
Stop wasting time. Get matched with jobs that meet your skills, aspirations and preferences.
Verified hiring teams
See actual hiring teams, find common social connections or connect with them directly. No 3rd party agencies here.
Move faster with AI
We use AI to get you faster responses, recommendations and unmatched user experience.
2101133
Matches delivered
3712187
Network size
15000
Companies hiring

Similar jobs

Computer Vision Lead

at The world’s leading image editing AI software, to capture

Agency job
via Qrata
Machine Learning (ML)
Data Science
Computer Vision
Machine vision
Artificial Intelligence (AI)
Deep Learning
GAN
icon
Gurugram
icon
5 - 10 yrs
icon
₹35L - ₹60L / yr
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.

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.
Job posted by
Rayal Rajan

Lead Game Analyst

at Kwalee

Founded 2011  •  Product  •  100-500 employees  •  Profitable
Data Science
Data Analytics
Python
SQL
icon
Bengaluru (Bangalore)
icon
0 - 8 yrs
icon
Best in industry

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

  • Play a crucial role in finding the best people to work on your team.

  • Manage the delivery of reports and analysis from the team.

  • Investigate how millions of players interact with Kwalee games.

  • Perform statistical analysis to quantify the relationships between game elements and player engagement.

  • Design experiments which extract the most valuable information in the shortest time.

  • Develop testing plans which reveal complex interactions between game elements. 

  • Collaborate with the design team to come up with the most effective tests.

  • Regularly communicate results with development, management and data science teams.


How you will be doing this

  • You’ll be part of an agile, multidisciplinary and creative team and work closely with them to ensure the best results.

  • You'll think creatively and be motivated by challenges and constantly striving for the best.

  • 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

  • A degree in a numerically focussed degree discipline such as, Maths, Physics, Economics, Chemistry, Engineering, Biological Sciences.

  • An extensive record of outstanding contribution to data analysis projects.

  • Expert in using Python for data analysis and visualisation.

  • Experience manipulating data in SQL databases.

  • Experience managing and onboarding new team members.


We offer

  • 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

  • In addition to a competitive salary we also offer private medical cover and life assurance

  • Creative Wednesdays! (Design and make your own games every Wednesday)

  • 20 days of paid holidays plus bank holidays 

  • Hybrid model available depending on the department and the role

  • Relocation support available 

  • Great work-life balance with flexible working hours

  • Quarterly team building days - work hard, play hard!

  • Monthly employee awards

  • 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.

Job posted by
Michael Hoppitt

Senior Machine Learning Engineer

at Docsumo

Founded 2019  •  Product  •  20-100 employees  •  Raised funding
Data Science
Machine Learning (ML)
Natural Language Processing (NLP)
Computer Vision
OCR
icon
Remote only
icon
4 - 6 yrs
icon
₹15L - ₹30L / yr

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
 
Job posted by
Vaidehi Tipnis

Senior / Principal Data Scientist

at Energy Exemplar

Founded 1999  •  Product  •  100-500 employees  •  Profitable
Data Science
Machine Learning (ML)
Natural Language Processing (NLP)
Artificial Intelligence (AI)
Deep Learning
icon
Pune
icon
5 - 10 yrs
icon
Best in industry

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
Job posted by
Sagar Soni

Data Scientist

at Analytics Consulting Company | REMOTE

Agency job
via Unnati
Data Science
R Programming
Python
MongoDB
SQL
Predictive analytics
Regression analysis
Deep Learning
icon
Remote, Bengaluru (Bangalore)
icon
2 - 4 yrs
icon
₹18L - ₹20L / yr
Do you want your software skills to contribute meaningfully into finding technology driven solutions for various businesses and alongside grow your career, then read on.
 
Our client provides data-based process optimization and analytics solutions to businesses worldwide. Their innovative algorithms and customized IT solutions cater to complex problems related to every field or industry, through tools that are non standard and are backed-up by extensive research. They serve startups as well as large, medium and small enterprises, a majority of their clients being industry leaders.
 
With registered offices in India, USA and UAE, their projects support various sectors and functions like logistics, IT, Retail, Ecommerce, Healthcare industry among others, across Asia, America and Europe. The founder holds a Master’s degree from IIT and a PhD in Operations Research from USA, with rich experience in Optimization and Analytics for various industries. His team of top scientists and pedagogy experts are focusing on innovative revenue generation ideas with minimum operational costs.
 
As a Data Scientist, you will apply expertise in machine-learning, data mining and statistical methods to design, prototype, and build the next-generation analytics engines and services.
 
What you will do:
  • 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
Job posted by
Veena Salian

Computer Vision Engineer

at ClearQuote

Founded 2014  •  Products & Services  •  20-100 employees  •  Profitable
Computer Vision
Deep Learning
Python
PyTorch
OpenCV
icon
Remote only
icon
1 - 3 yrs
icon
₹8L - ₹12L / yr

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

 

Job posted by
Venkat Sreeram
Data Science
Python
Machine Learning (ML)
Deep Learning
SQL
icon
Bengaluru (Bangalore)
icon
4 - 7 yrs
icon
₹10L - ₹20L / yr
Work-days: Sunday through Thursday
Work shift: Day time


  •  Strong problem-solving skills with an emphasis on product development.
• Experience using statistical computer languages (R, Python, SLQ, etc.) to manipulate data and draw
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
Job posted by
Priyanka U

NLP Engineer - Artificial Intelligence

at Artivatic.ai

Founded 2017  •  Product  •  20-100 employees  •  Raised funding
Artificial Intelligence (AI)
Python
Natural Language Processing (NLP)
Deep Learning
Machine Learning (ML)
Java
Scala
Natural Language Toolkit (NLTK)
icon
Bengaluru (Bangalore)
icon
2 - 5 yrs
icon
₹5L - ₹10L / yr
We at artivatic are seeking passionate, talented and research focused natural processing language engineer with strong machine learning and mathematics background to help build industry-leading technology. - The ideal candidate will have research/implementation experience modeling and developing NLP tools and experience working with machine learning/deep learning algorithms.Qualifications :- Bachelors or Master degree in Computer Science, Mathematics or related field with specialization in natural language processing, Machine Learning or Deep Learning.- Publication record in conferences/journals is a plus.- 2+ years of working/research experience building NLP based solutions is preferred.Required Skills :- Hands-on Experience building NLP models using different NLP libraries ad toolkit like NLTK, Stanford NLP etc.- Good understanding of Rule-based, Statistical and probabilistic NLP techniques.- Good knowledge of NLP approaches and concepts like topic modeling, text summarization, semantic modeling, Named Entity recognition etc.- Good understanding of Machine learning and Deep learning algorithms.- Good knowledge of Data Structures and Algorithms.- Strong programming skills in Python/Java/Scala/C/C++.- Strong problem solving and logical skills.- A go-getter kind of attitude with a willingness to learn new technologies.- Well versed with software design paradigms and good development practices.Responsibilities :- Developing novel algorithms and modeling techniques to advance the state of the art in Natural Language Processing.- Developing NLP based tools and solutions end to end.
Job posted by
Layak Singh

Machine Learning Engineer

at Quantiphi Inc.

Founded 2012  •  Products & Services  •  100-1000 employees  •  Bootstrapped
Python
Machine Learning (ML)
Deep Learning
TensorFlow
Keras
Natural Language Processing (NLP)
icon
Mumbai
icon
1 - 5 yrs
icon
₹4L - ₹15L / yr
1. The candidate should be passionate about machine learning and deep learning.
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.
Job posted by
Anwar Shaikh

Data Scientist

at Jiva adventures

Founded 2017  •  Product  •  20-100 employees  •  Profitable
Data Science
Python
Machine Learning (ML)
Natural Language Processing (NLP)
icon
Bengaluru (Bangalore)
icon
1 - 4 yrs
icon
₹5L - ₹15L / yr
Should be experienced in building Machine learning pipelines.   Should be proficient in Python and scientific packages like pandas, numpy, scikit, matplotlib, etc. Experience with techniques such as Data mining, Distributed Computing, Applied Mathematics and Algorthims, Probablity & statistics, Strong problem solving and conceptual thinking abilities Hands on experience in Model building Building highly customized and optimized data pipelines integrating third party API’s and inhouse data sources. Extracting features from text data using tools like Scapy Deep learning for NLP using any modern framework
Job posted by
Bharat Chinhara
Did not find a job you were looking for?
icon
Search for relevant jobs from 10000+ companies such as Google, Amazon & Uber actively hiring on Cutshort.
Get to hear about interesting companies hiring right now
iconFollow Cutshort
Want to apply to this role at Busigence Technologies?
Why apply via Cutshort?
Connect with actual hiring teams and get their fast response. No spam.
Learn more
Get to hear about interesting companies hiring right now
iconFollow Cutshort