Data Scientist

at Curl Tech

Agency job
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Bengaluru (Bangalore)
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3 - 10 yrs
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₹15L - ₹25L / yr
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Full time
Skills
Deep Learning
Machine Learning (ML)
Data Science
Natural Language Processing (NLP)
Computer Vision
Long short-term memory (LSTM)

Company Name: Curl Tech

Location: Bangalore

Website: www.curl.tech

Company Profile: Curl Tech is a deep-tech firm, based out of Bengaluru, India. Curl works on developing Products & Solutions leveraging emerging technologies such as Machine Learning, Blockchain (DLT) & IoT. We work on domains such as Commodity Trading, Banking & Financial Services, Healthcare, Logistics & Retail.

Curl has been founded by technology enthusiasts with rich industry experience. Products and solutions that have been developed at Curl, have gone on to have considerable success and have in turn become separate companies (focused on that product / solution).

If you are looking for a job, that would challenge you and desire to work with an organization that disrupts entire value chain; Curl is the right one for you!

Designation: Data Scientist or Junior Data Scientist (according to experience)

Job Description:

Good with Machine Learning and Deep learning, good with programming and maths.

Details: The candidate will be working on many image analytics/ numerical data analytics projects. The work involves, data collection, building the machine learning models, deployment, client interaction and publishing academic papers.

Responsibilities:

  • The candidate will be working on many image analytics/numerical data projects.

  • Candidate will be building various machine learning models depending upon the requirements.

  • Candidate would be responsible for deployment of the machine learning models.

  • Candidate would be the face of the company in front of the clients and will have regular client interactions to understand that client requirements.

    What we are looking for candidates with:

  • Basic Understanding of Statistics, Time Series, Machine Learning, Deep Learning, and their fundamentals and mathematical underpinnings.

  • Proven code proficiency in Python,C/C++ or any other AI language of choice.

  • Strong algorithmic thinking, creative problem solving and the ability to take ownership and do independent

    research.

  • Understanding how things work internally in ML and DL models is a must.

  • Understanding of the fundamentals of Computer Vision and Image Processing techniques would be a plus.

  • Expertise in OpenCV, ML/Neural networks technologies and frameworks such as PyTorch, Tensorflow would be a

    plus.

  • Educational background in any quantitative field (Computer Science / Mathematics / Computational Sciences and related disciplines) will be given preference.

Education: BE/ BTech/ B.Sc.(Physics or Mathematics)/Masters in Mathematics, Physics or related branches.

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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.


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Parag Sule

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Founded 2004  •  Products & Services  •  100-1000 employees  •  Profitable
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Senior Data Scientist - Applied AI


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What do we believe?

  • Best practices are overrated
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  • Honesty and Transparency
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  • Adaptable: We are comfortable with uncertainty. And we accept changes well. As that’s what life's about.
  • Positive: We are super positive about work & life in general. We love to forget and forgive. We don’t hold grudges. We don’t have time or adequate space for it.
  • Passionate: We are as passionate about the great street-food vendor across the street as about Tesla’s new model and so on. Passion is what drives us to work and makes us deliver the quality we deliver.
  • Innovative: Innovate or Die. We love to challenge the status quo.
  • Experimental: We encourage curiosity & making mistakes.
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from developing new models using pre-existing components to enable current systems to

be more intelligent. You should be able to train models using existing data and use them in

most creative manner to deliver the smartest experience to customers. You will have to

develop multiple AI applications that push the threshold of intelligence in machines.


Working on multiple projects at a time, you will have to maintain a consistently high level of attention to detail while finding creative ways to provide analytical insights. You will also have to thrive in a fast, high-energy environment and should be able to balance multiple projects in real-time. The thrill of the next big challenge should drive you, and when faced with an obstacle, you should be able to find clever solutions.You must have the ability and interest to work on a range of different types of projects and business processes, and must have a background that demonstrates this ability.






Your bucket of Undertakings :

  1. Collaborate with team members to develop new models to be used for classification problems
  2. Work on software profiling, performance tuning and analysis, and other general software engineering tasks
  3. Use independent judgment to take existing data and build new models from it
  4. Collaborate and provide technical guidance and come up with new ideas,rapid prototyping and converting prototypes into scalable products
  5. Conduct experiments to assess the accuracy and recall of language processing modules and to study the effect of such experiences
  6. Lead AI R&D initiatives to include prototypes and minimum viable products
  7. Work closely with multiple teams on projects like Visual quality inspection, ML Ops, Conversational banking, Demand forecasting, Anomaly detection etc. 
  8. Build reusable and scalable solutions for use across the customer base
  9. Prototype and demonstrate AI related products and solutions for customers
  10. Assist business development teams in the expansion and enhancement of a pipeline to support short- and long-range growth plans
  11. Identify new business opportunities and prioritize pursuits for AI 
  12. Participate in long range strategic planning activities designed to meet the Company’s objectives and to increase its enterprise value and revenue goals

Education & Experience : 

  1. BE/B.Tech/Masters in a quantitative field such as CS, EE, Information sciences, Statistics, Mathematics, Economics, Operations Research, or related, with focus on applied and foundational Machine Learning , AI , NLP and/or / data-driven statistical analysis & modelling
  2. 5+ years of Experience majorly in applying AI/ML/ NLP / deep learning / data-driven statistical analysis & modelling solutions to multiple domains, including financial engineering, financial processes a plus
  3. Strong, proven programming skills and with machine learning and deep learning and Big data frameworks including TensorFlow, Caffe, Spark, Hadoop. Experience with writing complex programs and implementing custom algorithms in these and other environments
  4. Experience beyond using open source tools as-is, and writing custom code on top of, or in addition to, existing open source frameworks
  5. Proven capability in demonstrating successful advanced technology solutions (either prototypes, POCs, well-cited research publications, and/or products) using ML/AI/NLP/data science in one or more domains
  6. Research and implement novel machine learning and statistical approaches
  7. Experience in data management, data analytics middleware, platforms and infrastructure, cloud and fog computing is a plus
  8. Excellent communication skills (oral and written) to explain complex algorithms, solutions to stakeholders across multiple disciplines, and ability to work in a diverse team

Accomplishment Set: 


  1. Extensive experience with Hadoop and Machine learning algorithms
  2. Exposure to Deep Learning, Neural Networks, or related fields and a strong interest and desire to pursue them
  3. Experience in Natural Language Processing, Computer Vision, Machine Learning or Machine Intelligence (Artificial Intelligence)
  4. Passion for solving NLP problems
  5. Experience with specialized tools and project for working with natural language processing
  6. Knowledge of machine learning frameworks like Tensorflow, Pytorch
  7. Experience with software version control systems like Github
  8. Fast learner and be able to work independently as well as in a team environment with good written and verbal communication skills
Job posted by
Mishita Juneja

ML Engineer

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Agency job
via Qrata
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Natural Language Processing (NLP)
Python
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Mumbai
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₹20L - ₹30L / yr

We are building a global content marketplace that brings companies and content

creators together to scale up content creation processes across 50+ content verticals and 150+ industries. Over the past 2.5 years, we’ve worked with companies like India Today, Amazon India, Adobe, Swiggy, Dunzo, Businessworld, Paisabazaar, IndiGo Airlines, Apollo Hospitals, Infoedge, Times Group, Digit, BookMyShow, UpGrad, Yulu, YourStory, and 350+ other brands.
Our mission is to become the world’s largest content creation and distribution platform for all kinds of content creators and brands.

 

Our Team

 

We are a 25+ member company and is scaling up rapidly in both team size and our ambition.

If we were to define the kind of people and the culture we have, it would be -

a) Individuals with an Extreme Sense of Passion About Work

b) Individuals with Strong Customer and Creator Obsession

c) Individuals with Extraordinary Hustle, Perseverance & Ambition

We are on the lookout for individuals who are always open to going the extra mile and thrive in a fast-paced environment. We are strong believers in building a great, enduring

a company that can outlast its builders and create a massive impact on the lives of our

employees, creators, and customers alike.

 

Our Investors

 

We are fortunate to be backed by some of the industry’s most prolific angel investors - Kunal Bahl and Rohit Bansal (Snapdeal founders), YourStory Media. (Shradha Sharma); Dr. Saurabh Srivastava, Co-founder of IAN and NASSCOM; Slideshare co-founder Amit Ranjan; Indifi's Co-founder and CEO Alok Mittal; Sidharth Rao, Chairman of Dentsu Webchutney; Ritesh Malik, Co-founder and CEO of Innov8; Sanjay Tripathy, former CMO, HDFC Life, and CEO of Agilio Labs; Manan Maheshwari, Co-founder of WYSH; and Hemanshu Jain, Co-founder of Diabeto.
Backed by Lightspeed Venture Partners



Job Responsibilities:
● Design, develop, test, deploy, maintain and improve ML models
● Implement novel learning algorithms and recommendation engines
● Apply Data Science concepts to solve routine problems of target users
● Translates business analysis needs into well-defined machine learning problems, and
selecting appropriate models and algorithms
● Create an architecture, implement, maintain and monitor various data source pipelines
that can be used across various different types of data sources
● Monitor performance of the architecture and conduct optimization
● Produce clean, efficient code based on specifications
● Verify and deploy programs and systems
● Troubleshoot, debug and upgrade existing applications
● Guide junior engineers for productive contribution to the development
The ideal candidate must -

ML and NLP Engineer
● 4 or more years of experience in ML Engineering
● Proven experience in NLP
● Familiarity with language generative model - GPT3
● Ability to write robust code in Python
● Familiarity with ML frameworks and libraries
● Hands on experience with AWS services like Sagemaker and Personalize
● Exposure to state of the art techniques in ML and NLP
● Understanding of data structures, data modeling, and software architecture
● Outstanding analytical and problem-solving skills
● Team player, an ability to work cooperatively with the other engineers.
● Ability to make quick decisions in high-pressure environments with limited information.
Job posted by
Mrunal Kokate

Deep Learning Engineering

at AI & ML Startup

Agency job
via Unnati
Deep Learning
Machine Learning (ML)
Algorithms
Analysis of algorithms
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NCR (Delhi | Gurgaon | Noida)
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4 - 7 yrs
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₹20L - ₹25L / yr
We are looking for passionate engineers and researchers that want to contribute in this exciting and fast moving field of Deep Learning and Research.
 
Our client is a highly awarded AI and Machine Learning lab, which is disrupting the multi billion dollar Agriculture and commodities business globally. They are recognized as a de-facto business for expert AI capability in solutions that satisfy real world challenges in near real time.
 
As the Lead Engineer - Deep Learning, you will be responsible for leading research, software implementation for new concept prototypes in the areas of computer vision and deep learning.
 
What you will do:
  • Focusing on developing new concepts and user experiences through rapid prototyping and collaboration with the best-in-class research and development team.
  • Reading research papers and implementing state-of-the-art techniques for computer vision
  • Building and managing datasets.
  • Providing Rapid experimentation, analysis, and deployment of machine/deep learning models
  • Based on requirements set by the team, helping develop new and rapid prototypes
  • Developing end to end products for problems related to agritech and other use cases
  • Leading the deep learning team



What you need to have:
  • MS/ME/PhD in Computer Science, Computer Engineering equivalent Proficient in Python and C++, CUDA a plus
  • International conference papers/Patents, Algorithm design, deep learning development, programming (Python, C/C++)
  • Knowledge of multiple deep-learning frameworks, such as Caffe, TensorFlow, Theano, Torch/PyTorch
  • Problem Solving: Deep learning development
  • Vision, perception, control, planning algorithm development
  • Track record of excellence in the machine learning / perception / control, including patents, publications to international conferences or journals.
  • Communications: Good communication skills
Job posted by
Dipannita Chakraborty

Data Scientist

at Vedantu

Founded 2011  •  Product  •  100-500 employees  •  Raised funding
Data Science
Machine Learning (ML)
R Programming
Python
Decision Science
Natural Language Processing (NLP)
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Bengaluru (Bangalore)
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1 - 4 yrs
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₹8L - ₹16L / yr
About Vedantu --------------------------- If you have ever dreamed about being in the driver’s seat of a revolution, THIS is the place for you. Vedantu is an Ed-Tech startup which is into Live Online Tutoring. Recently raised Series B funding of $11M Job Description We are looking for a Data Scientist who will support our product, sales, leadership and marketing teams with insights gained from analyzing company data. The ideal candidate is adept at using large data sets to find opportunities for product, sales and process optimization and using models to test the effectiveness of different courses of action. They must have strong experience using a variety of data analysis methods, building and implementing models and using/creating appropriate algorithms. Desired Skills 1. Experience using statistical computer languages (R, Python,etc.) to manipulate data and draw insights from large data sets. 2. Process, cleanse, and verify the integrity of data used for analysis. 3. Comfortable manipulating and analyzing complex, high-volume, high-dimensionality data from varying, heterogeneous sources 4. Experience with messy real-world data -- handling missing/incomplete/inaccurate data 5. Understanding of a broad set of Algorithms and Applied Math. 6. Good at problem solving, probability and statistics and knowledge of advanced statistical techniques and concepts (regression, properties of distributions, statistical tests and proper usage) and experience with applications. 7. Knowledge of data scraping is preferable 8. Knowledge of a variety of machine learning techniques (clustering, decision tree learning, artificial neural networks) and their real-world advantages/drawbacks. 9. Experience with big data tools (Hadoop, Hive, MapReduce) a plus.
Job posted by
Supreet Singh
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