Cutshort logo
Curl Tech logo
Data Scientist
Curl Tech
Data Scientist
Curl Tech's logo

Data Scientist

at Curl Tech

Agency job
3 - 10 yrs
₹15L - ₹25L / yr
Bengaluru (Bangalore)
Skills
skill iconDeep Learning
skill iconMachine Learning (ML)
skill iconData 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.

Read more
Users love Cutshort
Read about what our users have to say about finding their next opportunity on Cutshort.
Subodh Popalwar's profile image

Subodh Popalwar

Software Engineer, Memorres
For 2 years, I had trouble finding a company with good work culture and a role that will help me grow in my career. Soon after I started using Cutshort, I had access to information about the work culture, compensation and what each company was clearly offering.
Companies hiring on Cutshort
companies logos

Similar jobs

Designing Solutions for A Better World with AI
Designing Solutions for A Better World with AI
Agency job
via Qrata by Rayal Rajan
Hyderabad
4 - 9 yrs
₹17L - ₹35L / yr
skill iconData Science
Natural Language Processing (NLP)
skill iconMachine Learning (ML)
skill iconDeep Learning
Requirements: Skills
 A Bachelor’s degree in data science, statistics, computer science, or a similar field
 2+ years industry experience working in a data science role, such as statistics, machine learning,
deep learning, quantitative financial analysis, data engineering or natural language processing
 Domain experience in Financial Services (banking, insurance, risk, funds) is preferred
 Have and experience and be involved in producing and rapidly delivering minimum viable products,
results focused with ability to prioritize the most impactful deliverables
 Strong Applied Statistics capabilities. Including excellent understanding of Machine Learning
techniques and algorithms
 Hands on experience preferable in implementing scalable Machine Learning solutions using Python /
Scala / Java on Azure, AWS or Google cloud platform
 Experience with storage frameworks like Hadoop, Spark, Kafka etc
 Experience in building &deploying unsupervised, semi-supervised, and supervised models and be
knowledgeable in various ML algorithms such as regression models, Tree-based algorithms,
ensemble learning techniques, distance-based ML algorithms etc
 Ability to track down complex data quality and data integration issues, evaluate different algorithmic
approaches, and analyse data to solve problems.
 Experience in implementing parallel processing and in-memory frameworks such as H2O.ai
Read more
Chennai
4 - 6 yrs
₹18L - ₹23L / yr
skill iconMachine Learning (ML)
skill iconData Science
Natural Language Processing (NLP)
Computer Vision
recommendation algorithm
+6 more

Roles & Responsibilities:


-Adopt novel and breakthrough Deep Learning/Machine Learning technology to fully solve real world problems for different industries. -Develop prototypes of machine learning models based on existing research papers.

-Utilize published/existing models to meet business requirements. Tweak existing implementations to improve efficiencies and adapt for use-case variations.

-Optimize machine learning model training and inference time. -Work closely with development and QA teams in transitioning prototypes to commercial products

-Independently work end-to-end from data collection, preparation/annotation to validation of outcomes.


-Define and develop ML infrastructure to improve efficiency of ML development workflows.


Must Have:

- Experience in productizing and deployment of ML solutions.

- AI/ML expertise areas: Computer Vision with Deep Learning. Experience with object detection, classification, recognition; document layout and understanding tasks, OCR/ICR

. - Thorough understanding of full ML pipeline, starting from data collection to model building to inference.

- Experience with Python, OpenCV and at least a few framework/libraries (TensorFlow / Keras / PyTorch / spaCy / fastText / Scikit-learn etc.)

- Years with relevant experience:


5+ -Experience or Knowledge in ML OPS.


Good to Have: NLP: Text classification, entity extraction, content summarization. AWS, Docker.

Read more
Bidgely
at Bidgely
1 recruiter
Agency job
via wrackle by Naveen Taalanki
Bengaluru (Bangalore)
3 - 8 yrs
₹20L - ₹40L / yr
skill iconData Science
skill iconDeep Learning
skill iconMachine Learning (ML)
Natural Language Processing (NLP)
Artificial Neural Network (ANN)
+6 more
Roles and Responsibilities

● Research and develop advanced statistical and machine learning models for
analysis of large-scale, high-dimensional data.

● Dig deeper into data, understand characteristics of data, evaluate alternate
models and validate hypotheses through theoretical and empirical approaches.

● Productize has proven or working models into production-quality code.

● Collaborate with product management, marketing, and engineering teams in
Business Units to elicit & understand their requirements & challenges and
develop potential solutions

● Stay current with the latest research and technology ideas; share knowledge by
clearly articulating results and ideas to key decision-makers.

● File patents for innovative solutions that add to the company's IP portfolio

Requirements

● 4 to 6 years of strong experience in data mining, machine learning and
statistical analysis.

● BS/MS/Ph.D. in Computer Science, Statistics, Applied Math, or related areas
from Premier institutes ( only IITs / IISc / BITS / Top NITs or top US university
should apply)

● Experience in productizing models to code in a fast-paced start-up
environment.

● Fluency in analytical tools such as Matlab, R, Weka etc.

● Strong intuition for data and Keen aptitude on large scale data analysis

● Strong communication and collaboration skills.
Read more
Top Management Consulting Company
Top Management Consulting Company
Agency job
Bengaluru (Bangalore), Gurugram
2 - 8 yrs
₹10L - ₹35L / yr
skill iconData Science
skill iconMachine Learning (ML)
Natural Language Processing (NLP)
Computer Vision
skill iconPython
+11 more
Greetings!!

We are looking for a Machine Learning engineer for on of our premium client.
Experience: 2-9 years
Location: Gurgaon/Bangalore
Tech Stack:

Python, PySpark, the Python Scientific Stack; MLFlow, Grafana, Prometheus for machine learning pipeline management and monitoring; SQL, Airflow, Databricks, our own open-source data pipelining framework called Kedro, Dask/RAPIDS; Django, GraphQL and ReactJS for horizontal product development; container technologies such as Docker and Kubernetes, CircleCI/Jenkins for CI/CD, cloud solutions such as AWS, GCP, and Azure as well as Terraform and Cloudformation for deployment
Read more
Gurugram
2 - 5 yrs
Best in industry
skill iconData Science
skill iconMachine Learning (ML)
Natural Language Processing (NLP)
Computer Vision
Regular expression
+1 more
  • Demonstrate ability in NLP/ML/DL project solutions and architectures.
  • Strong ability in developing NLP tool and end to end solutions.
  • Minimum 1 year of experience in text cleaning, data wrangling, and text mining.
  • Good understanding of Rule-based, statistical, and probabilistic NLP techniques.
  • Collaborate with analytics team members to design, implement, and develop enterprise-level NLP capabilities, including data engineering, technology platforms, and algorithms.
  • Good knowledge of NLP approaches and concepts like topic modelling, text summarization, semantic modelling, Named Entity recognition, etc.
  • Evaluate and benchmark the performance of different NLP systems and provide guidance on metrics and best practices.
  • Test and deploy promising solutions quickly, managing deadlines and deliverables while applying latest research and techniques.
  • Collaborate with business stakeholders to effectively integrate and communicate analysis findings across NLP solutions.

Key Technical Skills:

  • Hands on experience in building NLP models using different NLP libraries and toolkit like NLTK, Stanford NLP, TextBlob, OCR etc.
  • Strong programming skills in Python
  • Good to have programming skill: Java/Scala/C/C++.
  • Strong problem solving, logical and communication skills.

Tags: Natural Language Processing (NLP), Artificial Intelligence (AI), Machine Learning (ML), and Natural Language Toolkit (NLTK), Analytics

Read more
Cloudbloom Systems LLP
at Cloudbloom Systems LLP
5 recruiters
Sahil Rana
Posted by Sahil Rana
Bengaluru (Bangalore)
6 - 10 yrs
₹13L - ₹25L / yr
skill iconMachine Learning (ML)
skill iconPython
skill iconData Science
Natural Language Processing (NLP)
Computer Vision
+3 more
Description
Duties and Responsibilities:
 Research and Develop Innovative Use Cases, Solutions and Quantitative Models
 Quantitative Models in Video and Image Recognition and Signal Processing for cloudbloom’s
cross-industry business (e.g., Retail, Energy, Industry, Mobility, Smart Life and
Entertainment).
 Design, Implement and Demonstrate Proof-of-Concept and Working Proto-types
 Provide R&D support to productize research prototypes.
 Explore emerging tools, techniques, and technologies, and work with academia for cutting-
edge solutions.
 Collaborate with cross-functional teams and eco-system partners for mutual business benefit.
 Team Management Skills
Academic Qualification
 7+ years of professional hands-on work experience in data science, statistical modelling, data
engineering, and predictive analytics assignments
 Mandatory Requirements: Bachelor’s degree with STEM background (Science, Technology,
Engineering and Management) with strong quantitative flavour
 Innovative and creative in data analysis, problem solving and presentation of solutions.
 Ability to establish effective cross-functional partnerships and relationships at all levels in a
highly collaborative environment
 Strong experience in handling multi-national client engagements
 Good verbal, writing & presentation skills
Core Expertise
 Excellent understanding of basics in mathematics and statistics (such as differential
equations, linear algebra, matrix, combinatorics, probability, Bayesian statistics, eigen
vectors, Markov models, Fourier analysis).
 Building data analytics models using Python, ML libraries, Jupyter/Anaconda and Knowledge
database query languages like  SQL
 Good knowledge of machine learning methods like k-Nearest Neighbors, Naive Bayes, SVM,
Decision Forests. 
 Strong Math Skills (Multivariable Calculus and Linear Algebra) - understanding the
fundamentals of Multivariable Calculus and Linear Algebra is important as they form the basis
of a lot of predictive performance or algorithm optimization techniques. 
 Deep learning : CNN, neural Network, RNN, tensorflow, pytorch, computervision,
 Large-scale data extraction/mining, data cleansing, diagnostics, preparation for Modeling
 Good applied statistical skills, including knowledge of statistical tests, distributions,
regression, maximum likelihood estimators, Multivariate techniques & predictive modeling
cluster analysis, discriminant analysis, CHAID, logistic & multiple regression analysis
 Experience with Data Visualization Tools like Tableau, Power BI, Qlik Sense that help to
visually encode data
 Excellent Communication Skills – it is incredibly important to describe findings to a technical
and non-technical audience
 Capability for continuous learning and knowledge acquisition.
 Mentor colleagues for growth and success
 Strong Software Engineering Background
 Hands-on experience with data science tools
Read more
Karza
at Karza
1 recruiter
Agency job
via Seven N Half by Viral Jain
Remote only
2 - 5 yrs
₹7L - ₹18L / yr
Natural Language Processing (NLP)
skill iconData Science
skill iconMachine Learning (ML)
Computer Vision
Market segmentation
+3 more
Good understanding of data structures, algorithms, and the first principles of mathematics.
● Proficient in Python and using packages like NLTK, Numpy, Pandas
● Should have worked on deep learning frameworks (like Tensorflow, Keras, PyTorch, etc)
● Hands-on experience in Natural Language Processing, Sequence, and RNN Based models
● Mathematical intuition of ML and DL algorithms
● Should be able to perform thorough model evaluation by creating hypotheses on the basis of statistical
analyses
● Should be comfortable in going through open-source code and reading research papers.
Read more
Turing
at Turing
1 recruiter
Misbah Munir
Posted by Misbah Munir
Remote only
5 - 10 yrs
₹10L - ₹20L / yr
skill iconMachine Learning (ML)
Artificial Intelligence (AI)
Natural Language Processing (NLP)
Decision trees
skill iconDeep Learning
+5 more

About Turing:

Turing enables U.S. companies to hire the world’s best remote software engineers. 100+ companies including those backed by Sequoia, Andreessen, Google Ventures, Benchmark, Founders Fund, Kleiner, Lightspeed, and Bessemer have hired Turing engineers. For more than 180,000 engineers across 140 countries, we are the preferred platform for finding remote U.S. software engineering roles. We offer a wide range of full-time remote opportunities for full-stack, backend, frontend, DevOps, mobile, and AI/ML engineers.

We are growing fast (our revenue 15x’d in the past 12 months and is accelerating), and we have raised $14M in seed funding (https://tcrn.ch/3lNKbM9">one of the largest in Silicon Valley) from:

  • Facebook’s 1st CTO and Quora’s Co-Founder (Adam D’Angelo)
  • Executives from Google, Facebook, Square, Amazon, and Twitter
  • Foundation Capital (investors in Uber, Netflix, Chegg, Lending Club, etc.)
  • Cyan Banister
  • Founder of Upwork (Beerud Sheth)

We also raised a much larger round of funding in October 2020 that we will be publicly announcing over the coming month. 

Some articles about Turing:


Turing is led by successful repeat founders Jonathan Siddharth and Vijay Krishnan, whose last A.I. company leveraged elite remote talent and had a successful acquisition. (https://techcrunch.com/2017/02/23/revcontent-acquires-rover/">Techcrunch story). Turing’s leadership team is composed of ex-Engineering and Sales leadership from Facebook, Google, Uber, and Capgemini.


About the role:

Software developers from all over the world have taken 200,000+ tests and interviews on Turing. Turing has also recommended thousands of developers to its customers and got customer feedback in terms of customer interview pass/fail data and data from the success of the collaboration with a U.S customer. This generates a massive proprietary dataset with a rich feature set comprising resume and test/interview features and labels in the form of actual customer feedback. Continuing rapid growth in our business creates an ever-increasing data advantage for us. 

 

We are looking for a Machine Learning Scientist who can help solve a whole range of exciting and valuable machine learning problems at Turing. Turing collects a lot of valuable heterogeneous signals about software developers including their resume, GitHub profile and associated code and a lot of fine-grained signals from Turing’s own screening tests and interviews (that span various areas including Computer Science fundamentals, project ownership and collaboration, communication skills, proactivity and tech stack skills), their history of successful collaboration with different companies on Turing, etc. 

A machine learning scientist at Turing will help create deep developer profiles that are a good representation of a developer’s strengths and weaknesses as it relates to their probability of getting successfully matched to one of Turing’s partner companies and having a fruitful long-term collaboration. The ML scientist will build models that are able to rank developers for different jobs based on their probability of success at the job. 

     
 You will also help make Turing’s tests more efficient by assessing their ability to predict the probability of a successful match of a developer with at least one company. The prior probability of a registered developer getting matched with a customer is about 1%. We want our tests to adaptively reduce perplexity as steeply as possible and move this probability estimate rapidly toward either 0% or 100%; maximize expected information-gain per unit time in other words. 

As an ML Scientist on the team, you will have a unique opportunity to make an impact by advancing ML models and systems, as well as uncovering new opportunities to apply machine learning concepts to Turing product(s).

This role will directly report to Turing’s founder and CTO, https://www.linkedin.com/in/vijay0/">Vijay Krishnan. This is his https://scholar.google.com/citations?user=uCRc7DgAAAAJ&;hl=en">Google Scholar profile. 


Responsibilities:

  • Enhance our existing machine learning systems using your core coding skills and ML knowledge.
  • Take end to end ownership of machine learning systems - from data pipelines, feature engineering, candidate extraction, model training, as well as integration into our production systems.
  • Utilize state-of-the-art ML modeling techniques to predict user interactions and the direct impact on the company’s top-line metrics.
  • Design features and builds large scale recommendation systems to improve targeting and engagement.
  • Identify new opportunities to apply machine learning to different parts of our product(s) to drive value for our customers.

 

 

Minimum Requirements:

 

  • BS, MS, or Ph.D. in Computer Science or a relevant technical field (AI/ML preferred).
  • Extensive experience building scalable machine learning systems and data-driven products working with cross-functional teams
  • Expertise in machine learning fundamentals, applicable to search - Learning to Rank, Deep Learning, Tree-Based Models, Recommendation Systems, Relevance and Data mining, understanding of NLP approaches like W2V or Bert.
  • 2+ years of experience applying machine learning methods in settings like recommender systems, search, user modeling, graph representation learning, natural language processing.
  • Strong understanding of neural network/deep learning, feature engineering, feature selection, optimization algorithms. Proven ability to dig deep into practical problems and choose the right ML method to solve them.
  • Strong programming skills in Python and fluency in data manipulation (SQL, Spark, Pandas) and machine learning (scikit-learn, XGBoost, Keras/Tensorflow) tools.
  • Good understanding of mathematical foundations of machine learning algorithms.
  • Ability to be available for meetings and communication during Turing's "coordination hours" (Mon - Fri: 8 am to 12 pm PST).

 

Other Nice-to-have Requirements:

 

  • First author publications in ICML, ICLR, NeurIPS, KDD, SIGIR, and related conferences/journals. 
  • Strong performance in Kaggle competitions.
  • 5+ years of industry experience or a Ph.D. with 3+ years of industry experience in applied machine learning in similar problems e.g. ranking, recommendation, ads, etc.
  • Strong communication skills.
  • Experienced in leading large-scale multi-engineering projects.
  • Flexible, and a positive team player with outstanding interpersonal skills.
Read more
US based AI startup company
US based AI startup company
Agency job
via Multi Recruit by Santhosh Kumar KR
Bengaluru (Bangalore)
9.5 - 11.5 yrs
₹25L - ₹50L / yr
skill iconDeep Learning
Natural Language Processing (NLP)
Natural Language Toolkit (NLTK)
skill iconData Science
skill iconMachine Learning (ML)
  • Strong in problem solving, algorithms and data structures
  • Proficient in Python
  • Hands on experience in technologies and tools related to any of NLP, Deep learning, Machine learning, Conversational AI
  • Experience with knowledge Graph or any graph based system is plus
  • Able to train and deploy models
  • Broad knowledge of machine learning algorithms and principles
  • Performance profiling and Tuning
  • Communicate and propose solutions to business challenges
  • Familiarity with at least one of the cloud computing infrastructure - GCP/AWS
  • Keep abreast with the latest technological advances
  • Team mentoring and leadership skills.
Read more
PublicVibe
at PublicVibe
1 recruiter
Dhaneesha Dominic
Posted by Dhaneesha Dominic
Hyderabad
1 - 3 yrs
₹1L - ₹3L / yr
skill iconJava
skill iconData Science
skill iconPython
Natural Language Processing (NLP)
skill iconScala
+3 more
Hi Candidates, Greetings From Publicvibe !!! We are Hiring NLP Engineers/ Data scientists in between 0.6 to 2.5 Years of Experience for our Hyderabad location, if anyone looking out for opportunities or Job change, reach out to us. Regards, Dhaneesha Dominic.
Read more
Why apply to jobs via Cutshort
people_solving_puzzle
Personalized job matches
Stop wasting time. Get matched with jobs that meet your skills, aspirations and preferences.
people_verifying_people
Verified hiring teams
See actual hiring teams, find common social connections or connect with them directly. No 3rd party agencies here.
ai_chip
Move faster with AI
We use AI to get you faster responses, recommendations and unmatched user experience.
21,01,133
Matches delivered
37,12,187
Network size
15,000
Companies hiring
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.
companies logo
companies logo
companies logo
companies logo
companies logo
Get to hear about interesting companies hiring right now
Company logo
Company logo
Company logo
Company logo
Company logo
Linkedin iconFollow Cutshort
Users love Cutshort
Read about what our users have to say about finding their next opportunity on Cutshort.
Subodh Popalwar's profile image

Subodh Popalwar

Software Engineer, Memorres
For 2 years, I had trouble finding a company with good work culture and a role that will help me grow in my career. Soon after I started using Cutshort, I had access to information about the work culture, compensation and what each company was clearly offering.
Companies hiring on Cutshort
companies logos