14+ Computer Vision Jobs in Delhi, NCR and Gurgaon | Computer Vision Job openings in Delhi, NCR and Gurgaon
Apply to 14+ Computer Vision Jobs in Delhi, NCR and Gurgaon on CutShort.io. Explore the latest Computer Vision Job opportunities across top companies like Google, Amazon & Adobe.
Data Science
Machine Learning (ML)
Deep LearningJob Description:
1.Be a hands on problem solver with consultative approach, who can apply Machine Learning & Deep Learning algorithms to solve business challenges
a. Use the knowledge of wide variety of AI/ML techniques and algorithms to find what combinations of these techniques can best solve the problem
b. Improve Model accuracy to deliver greater business impact
c.Estimate business impact due to deployment of model
2.Work with the domain/customer teams to understand business context , data dictionaries and apply relevant Deep Learning solution for the given business challenge
3.Working with tools and scripts for sufficiently pre-processing the data & feature engineering for model development – Python / R / SQL / Cloud data pipelines
4.Design , develop & deploy Deep learning models using Tensorflow / Pytorch
5.Experience in using Deep learning models with text, speech, image and video data
a.Design & Develop NLP models for Text Classification, Custom Entity Recognition, Relationship extraction, Text Summarization, Topic Modeling, Reasoning over Knowledge Graphs, Semantic Search using NLP tools like Spacy and opensource Tensorflow, Pytorch, etc
b.Design and develop Image recognition & video analysis models using Deep learning algorithms and open source tools like OpenCV
c.Knowledge of State of the art Deep learning algorithms
6.Optimize and tune Deep Learnings model for best possible accuracy
7.Use visualization tools/modules to be able to explore and analyze outcomes & for Model validation eg: using Power BI / Tableau
8.Work with application teams, in deploying models on cloud as a service or on-prem
a.Deployment of models in Test / Control framework for tracking
b.Build CI/CD pipelines for ML model deployment
9.Integrating AI&ML models with other applications using REST APIs and other connector technologies
10.Constantly upskill and update with the latest techniques and best practices. Write white papers and create demonstrable assets to summarize the AIML work and its impact.
· Technology/Subject Matter Expertise
- Sufficient expertise in machine learning, mathematical and statistical sciences
- Use of versioning & Collaborative tools like Git / Github
- Good understanding of landscape of AI solutions – cloud, GPU based compute, data security and privacy, API gateways, microservices based architecture, big data ingestion, storage and processing, CUDA Programming
- Develop prototype level ideas into a solution that can scale to industrial grade strength
- Ability to quantify & estimate the impact of ML models.
· Softskills Profile
- Curiosity to think in fresh and unique ways with the intent of breaking new ground.
- Must have the ability to share, explain and “sell” their thoughts, processes, ideas and opinions, even outside their own span of control
- Ability to think ahead, and anticipate the needs for solving the problem will be important
· Ability to communicate key messages effectively, and articulate strong opinions in large forums
· Desirable Experience:
- Keen contributor to open source communities, and communities like Kaggle
- Ability to process Huge amount of Data using Pyspark/Hadoop
- Development & Application of Reinforcement Learning
- Knowledge of Optimization/Genetic Algorithms
- Operationalizing Deep learning model for a customer and understanding nuances of scaling such models in real scenarios
- Optimize and tune deep learning model for best possible accuracy
- Understanding of stream data processing, RPA, edge computing, AR/VR etc
- Appreciation of digital ethics, data privacy will be important
- Experience of working with AI & Cognitive services platforms like Azure ML, IBM Watson, AWS Sagemaker, Google Cloud will all be a big plus
- Experience in platforms like Data robot, Cognitive scale, H2O.AI etc will all be a big plus
Machine Learning (ML)About the Company:
ConveGenius is a leading Conversational AI company that is democratising educational and knowledge services for the mass market. Their knowledge bots have 35M users today. ConveGenius is building an omniverse on Conversational AI for the developer ecosystem to build together. We are looking for self-driven individuals who love to find innovative solutions and can perform under pressure. An eye for detail and being proud of produced code is the must-have attributes for this job.
About the role:
At ConveGenius, we are committed to creating an inclusive and collaborative work environment that fosters creativity and innovation. Join our AI Team as Senior AI Engineer with the focus on development of cutting-edge technologies, making a real life difference in the lives of millions of users. You will be involved in a wide range of projects, from designing and building AI capabilities for our swiftchat platform, and analysing large conversation datasets. Innovative nature and proactive involvement in the product is taken very seriously at Convegenius, therefore, a major part of your role would involve thinking about new features and new ways to deliver quality learning experience to our learners.
Responsibilities:
- Develop and implement state-of-the-art NLP, Computer Vision, Speech techniques.
- Collaborate with other AI researchers to develop innovative AI solutions and services to be used to improve our platform capabilities.
- Mentor and lead the experiments with other team members.
- Conduct research and experiments in deep learning, machine learning, and related fields to support the development of AI techniques.
Qualifications:
- Bachelor's or master's degree in Computer Science, Engineering, or a related field with experience in machine learning and data analysis.
- 2-4 years of industry experience in machine learning, with a strong focus on NLP and Computer Vision.
- Hands-on experience of ML model development and deploying.
- Experience working with training and fine-tuning LLM is a plus.
- Experience in audio/speech technologies is a plus.
- Strong programming skills in Python, node.js or other relevant programming languages.
- Familiarity with machine learning libraries, such as TensorFlow, Keras, PyTorch, scikit-learn, Conversational frameworks like Rasa, DialogFlow, Lex, etc.
- Strong analytical and problem-solving skills, with the ability to think out of the box.
- Self-starter with the ability to work independently and in a team environment.
Machine Learning (ML)Data ScienceSenior Data Scientist
Your goal: To improve the education process and improve the student experience through data.
The organization: Data Science for Learning Services Data Science and Machine Learning are core to Chegg. As a Student Hub, we want to ensure that students discover the full breadth of learning solutions we have to offer to get full value on their learning time with us. To create the most relevant and engaging interactions, we are solving a multitude of machine learning problems so that we can better model student behavior, link various types of content, optimize workflows, and provide a personalized experience.
The Role: Senior Data Scientist
As a Senior Data Scientist, you will focus on conducting research and development in NLP and ML. You will be responsible for writing production-quality code for data product solutions at Chegg. You will lead in identification and implementation of key projects to process data and knowledge discovery.
Responsibilities:
• Translate product requirements into AIML/NLP solutions
• Be able to think out of the box and be able to design novel solutions for the problem at hand
• Write production-quality code
• Be able to design data and annotation collection strategies
• Identify key evaluation metrics and release requirements for data products
• Integrate new data and design workflows
• Innovate, share, and educate team members and community
Requirements:
• Working experience in machine learning, NLP, recommendation systems, experimentation, or related fields, with a specialization in NLP • Working experience on large language models that cater to multiple tasks such as text generation, Q&A, summarization, translation etc is highly preferred
• Knowledge on MLOPs and deployment pipelines is a must
• Expertise on supervised, unsupervised and reinforcement ML algorithms.
• Strong programming skills in Python
• Top data wrangling skills using SQL or NOSQL queries
• Experience using containers to deploy real-time prediction services
• Passion for using technology to help students
• Excellent communication skills
• Good team player and a self-starter
• Outstanding analytical and problem-solving skills
• Experience working with ML pipeline products such as AWS Sagemaker, Google ML, or Databricks a plus.
Why do we exist?
Students are working harder than ever before to stabilize their future. Our recent research study called State of the Student shows that nearly 3 out of 4 students are working to support themselves through college and 1 in 3 students feel pressure to spend more than they can afford. We founded our business on provided affordable textbook rental options to address these issues. Since then, we’ve expanded our offerings to supplement many facets of higher educational learning through Chegg Study, Chegg Math, Chegg Writing, Chegg Internships, Thinkful Online Learning, and more, to support students beyond their college experience. These offerings lower financial concerns for students by modernizing their learning experience. We exist so students everywhere have a smarter, faster, more affordable way to student.
Video Shorts
Life at Chegg: https://jobs.chegg.com/Video-Shorts-Chegg-Services
Certified Great Place to Work!: http://reviews.greatplacetowork.com/chegg
Chegg India: http://www.cheggindia.com/
Chegg Israel: http://insider.geektime.co.il/organizations/chegg
Thinkful (a Chegg Online Learning Service): https://www.thinkful.com/about/#careers
Chegg out our culture and benefits!
http://www.chegg.com/jobs/benefits
https://www.youtube.com/watch?v=YYHnkwiD7Oo
Chegg is an equal-opportunity employer
Data ScienceMachine Learning (ML)About Us
We are an AI-Powered CX Cloud that enables enterprises to transform customer experience and boost revenue with our APIs by automating and analyzing customer interactions at scale. We assist across multiple voices and non-voice channels in 30+ languages whilst coaching and training agents with minimal costs.
The problem we are solving
In comparison to worldwide norms, customer support in traditional contact centers is quite appalling, due to a high number of queries, insufficient capacity of agents and inane customer support systems, businesses struggle with a multi-fold rise in customer discontent and bounce rate, resulting in connectivity failure points between them and customers. To address this issue, IITian couple Manish and Rashi Gupta founded Rezo's AI-Powered CX Cloud for Enterprises 2018 to help businesses avoid customer churn and boost revenue without incurring financial costs by providing 24x7 real-time responses to customer inquiries with minimal human interaction
Roles and Responsibilities :
- Speech Recognition model development across multiple languages.
- Solve critical real-world scenarios - Noisy channel ASR performance, Multi speaker detection, etc.
- Implement and deliver PoC's /UATs products on the Rezo platform.
- Responsible for product performance, robustness and reliability.
Requirements:
- 2+ years Experience with Bachelors's/Master degree with a focus on CS, Machine Learning, and Signal Processing.
- Strong knowledge of various ML concepts/algorithms and hands-on experience in relevant projects.
- Experience in machine learning platforms such as TensorFlow, and Pytorch and solid programming development skills (Python, C, C++ etc).
- Ability to learn new tools, languages and frameworks quickly.
- Familiarity with databases, data transformation techniques, and ability to work with unstructured data like OCR/ speech/text data.
- Previous experience with working in Conversational AI is a plus.
- Git portfolios will be helpful.
Life at Rezo.AI
- We take transparency very seriously. Along with a full view of team goals, get a top-level view across the board with our regular town hall meetings.
- A highly inclusive work culture that promotes a relaxed, creative, and productive environment.
- Practice autonomy, open communication, and growth opportunities, while maintaining a perfect work-life balance.
- Go on company-sponsored offsites, and blow off steam with your work buddies.
Perks & Benefits
Learning is a way of life. Unlock your full potential backed with cutting-edge tools and mentor-ship
Get the best in class medical insurance, programs for taking care of your mental health, and a Contemporary Leave Policy (beyond sick leaves)
Why Us?
We are a fast-paced start-up with some of the best talents from diverse backgrounds. Working together to solve customer service problems. We believe a diverse workforce is a powerful multiplier of innovation and growth, which is key to providing our clients with the best possible service and our employees with the best possible career. Diversity makes us smarter, more competitive, and more innovative.
Explore more here
http://www.rezo.ai/">www.rezo.ai
PythonMachine Learning (ML)Deep LearningData ScienceAbout FarMart At FarMart we are building the world’s first OS powering food value chains. By digitizing and incentivizing the rural agri-retailer, FarMart has created one-stop hubs for farmers to buy input and sell output in close proximity to their farms. This alternative, asset-light, food value chain eliminates the considerable transportation costs, spillages, and time effort for both the producer and the end-buyer. Are you passionate about the intersection of tech and food?
Role: Data Scientist II
Experience: 2-4 years
About You
Are you a beginner whose eyes light up when you see the progress bar of your model training or are you an experienced data professional whose heart sinks as the model loss starts to climb up? If that’s you, we like you already. Do you think about problem statements when you are on a cab ride or do you open up blog articles to entertain and enlighten you in boring meetings? If that’s you, we like you more now. All in all, you must have an insatiable hunger for knowledge and a team player attitude!
Key Responsibilities
- Understand and optimize the data infrastructure
- Develop visualization dashboards for the business and operations team - Setup and own data acquisition for several external sources
- Manage and clean the data for use by several systems
- Develop state-of-the-art Deep Learning/Classical models
- Deploy and Maintain production services
- Contribute to the community through open-source, blogs, etc.
What are we looking for
- Deep understanding of core concepts
- Broader knowledge of different types of problem statements and approaches
- Excellent hold on Python and the standard library
- Knowledge of industry-standard tools like scikit-learn, TensorFlow/PyTorch, etc.
- Experience with Computer Vision, Forecasting, and NLP will come in handy.
- A get shit done attitude
- A research mindset and a creative caliber to utilize previous work to your advantage.
Who Are We
A research-oriented company with expertise in computer vision and artificial intelligence, at its core, Orbo is a comprehensive platform of AI-based visual enhancement stack. This way, companies can find a suitable product as per their need where deep learning powered technology can automatically improve their Imagery.
ORBO's solutions are helping BFSI, beauty and personal care digital transformation and Ecommerce image retouching industries in multiple ways.
WHY US
- Join top AI company
- Grow with your best companions
- Continuous pursuit of excellence, equality, respect
- Competitive compensation and benefits
You'll be a part of the core team and will be working directly with the founders in building and iterating upon the core products that make cameras intelligent and images more informative.
To learn more about how we work, please check out
Description:
We are looking for a computer vision engineer to lead our team in developing a factory floor analytics SaaS product. This would be a fast-paced role and the person will get an opportunity to develop an industrial grade solution from concept to deployment.
Responsibilities:
- Research and develop computer vision solutions for industries (BFSI, Beauty and personal care, E-commerce, Defence etc.)
- Lead a team of ML engineers in developing an industrial AI product from scratch
- Setup end-end Deep Learning pipeline for data ingestion, preparation, model training, validation and deployment
- Tune the models to achieve high accuracy rates and minimum latency
- Deploying developed computer vision models on edge devices after optimization to meet customer requirements
Requirements:
- Bachelor’s degree
- Understanding about depth and breadth of computer vision and deep learning algorithms.
- Experience in taking an AI product from scratch to commercial deployment.
- Experience in Image enhancement, object detection, image segmentation, image classification algorithms
- Experience in deployment with OpenVINO, ONNXruntime and TensorRT
- Experience in deploying computer vision solutions on edge devices such as Intel Movidius and Nvidia Jetson
- Experience with any machine/deep learning frameworks like Tensorflow, and PyTorch.
- Proficient understanding of code versioning tools, such as Git
Our perfect candidate is someone that:
- is proactive and an independent problem solver
- is a constant learner. We are a fast growing start-up. We want you to grow with us!
- is a team player and good communicator
What We Offer:
- You will have fun working with a fast-paced team on a product that can impact the business model of E-commerce and BFSI industries. As the team is small, you will easily be able to see a direct impact of what you build on our customers (Trust us - it is extremely fulfilling!)
- You will be in charge of what you build and be an integral part of the product development process
- Technical and financial growth!
Data ScienceMachine Learning (ML)Job Description
We are looking for a highly capable machine learning engineer to optimize our deep learning systems. You will be evaluating existing deep learning (DL) processes, do hyperparameter tuning, performing statistical analysis (logging and evaluating model’s performance) to resolve data set problems, and enhancing the accuracy of our AI software's predictive automation capabilities.
You will be working with technologies like AWS Sagemaker, TensorFlow JS, TensorFlow/ Keras/TensorBoard to create Deep Learning backends that powers our application.
To ensure success as a machine learning engineer, you should demonstrate solid data science knowledge and experience in Deep Learning role. A first-class machine learning engineer will be someone whose expertise translates into the enhanced performance of predictive automation software. To do this job successfully, you need exceptional skills in DL and programming.
Responsibilities
-
Consulting with managers to determine and refine machine learning objectives.
-
Designing deep learning systems and self-running artificial intelligence (AI) software to
automate predictive models.
-
Transforming data science prototypes and applying appropriate ML algorithms and
tools.
-
Carry out data engineering subtasks such as defining data requirements, collecting,
labeling, inspecting, cleaning, augmenting, and moving data.
-
Carry out modeling subtasks such as training deep learning models, defining
evaluation metrics, searching hyperparameters, and reading research papers.
-
Carry out deployment subtasks such as converting prototyped code into production
code, working in-depth with AWS services to set up cloud environment for training,
improving response times and saving bandwidth.
-
Ensuring that algorithms generate robust and accurate results.
-
Running tests, performing analysis, and interpreting test results.
-
Documenting machine learning processes.
-
Keeping abreast of developments in machine learning.
Requirements
-
Proven experience as a Machine Learning Engineer or similar role.
-
Should have indepth knowledge of AWS Sagemaker and related services (like S3).
-
Extensive knowledge of ML frameworks, libraries, algorithms, data structures, data
modeling, software architecture, and math & statistics.
-
Ability to write robust code in Python & Javascript (TensorFlow JS).
-
Experience with Git and Github.
-
Superb analytical and problem-solving abilities.
-
Excellent troubleshooting skills.
-
Good project management skills.
-
Great communication and collaboration skills.
-
Excellent time management and organizational abilities.
-
Bachelor's degree in computer science, data science, mathematics, or a related field;
Master’s degree is a plus.
Deep LearningPythonWho Are We
A research-oriented company with expertise in computer vision and artificial intelligence, at its core, Orbo is a comprehensive platform of AI-based visual enhancement stack. This way, companies can find a suitable product as per their need where deep learning powered technology can automatically improve their Imagery.
ORBO's solutions are helping BFSI, beauty and personal care digital transformation and Ecommerce image retouching industries in multiple ways.
WHY US
- Join top AI company
- Grow with your best companions
- Continuous pursuit of excellence, equality, respect
- Competitive compensation and benefits
You'll be a part of the core team and will be working directly with the founders in building and iterating upon the core products that make cameras intelligent and images more informative.
To learn more about how we work, please check out
Description:
We are looking for a computer vision engineer to lead our team in developing a factory floor analytics SaaS product. This would be a fast-paced role and the person will get an opportunity to develop an industrial grade solution from concept to deployment.
Responsibilities:
- Research and develop computer vision solutions for industries (BFSI, Beauty and personal care, E-commerce, Defence etc.)
- Lead a team of ML engineers in developing an industrial AI product from scratch
- Setup end-end Deep Learning pipeline for data ingestion, preparation, model training, validation and deployment
- Tune the models to achieve high accuracy rates and minimum latency
- Deploying developed computer vision models on edge devices after optimization to meet customer requirements
Requirements:
- Bachelor’s degree
- Understanding about depth and breadth of computer vision and deep learning algorithms.
- 4+ years of industrial experience in computer vision and/or deep learning
- Experience in taking an AI product from scratch to commercial deployment.
- Experience in Image enhancement, object detection, image segmentation, image classification algorithms
- Experience in deployment with OpenVINO, ONNXruntime and TensorRT
- Experience in deploying computer vision solutions on edge devices such as Intel Movidius and Nvidia Jetson
- Experience with any machine/deep learning frameworks like Tensorflow, and PyTorch.
- Proficient understanding of code versioning tools, such as Git
Our perfect candidate is someone that:
- is proactive and an independent problem solver
- is a constant learner. We are a fast growing start-up. We want you to grow with us!
- is a team player and good communicator
What We Offer:
- You will have fun working with a fast-paced team on a product that can impact the business model of E-commerce and BFSI industries. As the team is small, you will easily be able to see a direct impact of what you build on our customers (Trust us - it is extremely fulfilling!)
- You will be in charge of what you build and be an integral part of the product development process
- Technical and financial growth!
Machine Learning (ML)Data ScienceDeep LearningWho Are We
A research-oriented company with expertise in computer vision and artificial intelligence, at its core, Orbo is a comprehensive platform of AI-based visual enhancement stack. This way, companies can find a suitable product as per their need where deep learning powered technology can automatically improve their Imagery.
ORBO's solutions are helping BFSI, beauty and personal care digital transformation and Ecommerce image retouching industries in multiple ways.
WHY US
- Join top AI company
- Grow with your best companions
- Continuous pursuit of excellence, equality, respect
- Competitive compensation and benefits
You'll be a part of the core team and will be working directly with the founders in building and iterating upon the core products that make cameras intelligent and images more informative.
To learn more about how we work, please check out
Description:
We are looking for a computer vision engineer to lead our team in developing a factory floor analytics SaaS product. This would be a fast-paced role and the person will get an opportunity to develop an industrial grade solution from concept to deployment.
Responsibilities:
- Research and develop computer vision solutions for industries (BFSI, Beauty and personal care, E-commerce, Defence etc.)
- Lead a team of ML engineers in developing an industrial AI product from scratch
- Setup end-end Deep Learning pipeline for data ingestion, preparation, model training, validation and deployment
- Tune the models to achieve high accuracy rates and minimum latency
- Deploying developed computer vision models on edge devices after optimization to meet customer requirements
Requirements:
- Bachelor’s degree
- Understanding about depth and breadth of computer vision and deep learning algorithms.
- 4+ years of industrial experience in computer vision and/or deep learning
- Experience in taking an AI product from scratch to commercial deployment.
- Experience in Image enhancement, object detection, image segmentation, image classification algorithms
- Experience in deployment with OpenVINO, ONNXruntime and TensorRT
- Experience in deploying computer vision solutions on edge devices such as Intel Movidius and Nvidia Jetson
- Experience with any machine/deep learning frameworks like Tensorflow, and PyTorch.
- Proficient understanding of code versioning tools, such as Git
Our perfect candidate is someone that:
- is proactive and an independent problem solver
- is a constant learner. We are a fast growing start-up. We want you to grow with us!
- is a team player and good communicator
What We Offer:
- You will have fun working with a fast-paced team on a product that can impact the business model of E-commerce and BFSI industries. As the team is small, you will easily be able to see a direct impact of what you build on our customers (Trust us - it is extremely fulfilling!)
- You will be in charge of what you build and be an integral part of the product development process
- Technical and financial growth!
PythonLocation : Gurgaon
About the company:
The company is changing the way cataloging is done across the Globe. Our vision is to empower the smallest of sellers, situated in the farthest of corners, to create superior product images and videos, without the need for any external professional help. Imagine 30M+ merchants shooting Product Images or Videos using their Smartphones, and then choosing Filters for Amazon, Asos, Airbnb, Doordash, etc to instantly compose High-Quality "tuned-in" product visuals, instantly. The company has built the world’s leading image editing AI software, to capture and process beautiful product images for online selling. We are also fortunate and proud to be backed by the biggest names in the investment community including the likes of Accel Partners, Angellist and prominent Founders and Internet company operators, who believe that there is an intelligent and efficient way of doing Digital Production than how the world operates currently.
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 e
commerce, 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 Requirements:
- Min 3+ years of work experience in Computer Vision with 5-10 years work experience overall
- BS/MS/ Phd degree in Computer Science, Engineering or a related subject from a ivy league institute
- Exposure on Deep Learning Techniques, TensorFlow/Pytorch
- Prior expertise on building Image processing applications using GANs, CNNs, Diffusion models
- Expertise with Image Processing Python libraries like OpenCV, etc.
- Good hands-on experience on Python, Flask or Django framework
- Authored publications at peer-reviewed AI conferences (e.g. NeurIPS, CVPR, ICML, ICLR,ICCV, ACL)
- Prior experience of managing teams and building large scale AI / CV projects is a big plus
- Great interpersonal and communication skills
- Critical thinker and problem-solving skills
Data ScienceMachine Learning (ML)Requirements-
● B.Tech/Masters in Mathematics, Statistics, Computer Science or another quantitative field
● 2-3+ years of work experience in ML domain ( 2-5 years experience )
● Hands-on coding experience in Python
● Experience in machine learning techniques such as Regression, Classification,Predictive modeling, Clustering, Deep Learning stack, NLP.
● Working knowledge of Tensorflow/PyTorch
Optional Add-ons-
● Experience with distributed computing frameworks: Map/Reduce, Hadoop, Spark etc.
● Experience with databases: MongoDB
Data ScienceMachine Learning (ML)Essential Skills :
- Develop, enhance and maintain Python related projects, data services, platforms and processes.
- Apply and maintain data quality checks to ensure data integrity and completeness.
- Able to integrate multiple data sources and databases.
- Collaborate with cross-functional teams across, Decision Sciences, Search, Database Management. To design innovative solutions, capture requirements and drive a common future vision.
Technical Skills/Capabilities :
- Hands on experience in Python programming language.
- Understanding and proven application of Computer Science fundamentals in object oriented design, data structures, algorithm design, Regular expressions, data storage procedures, problem solving, and complexity analysis.
- Understanding of natural language processing and basic ML algorithms will be a plus.
- Good troubleshooting and debugging skills.
- Strong individual contributor, self-motivated, and a proven team player.
- Eager to learn and develop new experience and skills.
- Good communication and interpersonal skills.
About Company Profile :
Gauge Data Solutions Pvt Ltd :
- We are a leading company into Data Science, Machine learning and Artificial Intelligence.
- Within Gauge data we have a competitive environment for the Developers and Engineers.
- We at Gauge create potential solutions for the real world problems. One such example of our engineering is Casemine.
- Casemine is a legal research platform powered by Artificial Intelligence. It helps lawyers, judges and law researchers in their day to day life.
- Casemine provides exhaustive case results to its users with the use of cutting edge technologies.
- It is developed with the efforts of great engineers at Gauge Data.
- One such opportunity is now open for you. We at Gauge Data invites application for competitive, self motivated Python Developer.
Purpose of the Role :
- This position will play a central role in developing new features and enhancements for the products and services at Gauge Data.
- To know more about what we do and how we do it, feel free to read these articles:
- https://bit.ly/2YfVAsv
- https://bit.ly/2rQArJc
- You can also visit us at https://www.casemine.com/.
- For more information visit us at: - www.gaugeanalytics.com
- Join us on LinkedIn, Twitter & Facebook
Data Science
R ProgrammingPythonMachine Learning (ML)Job Responsibilities
- Design machine learning systems
- Research and implement appropriate ML algorithms and tools
- Develop machine learning applications according to requirements
- Select appropriate datasets and data representation methods
- Run machine learning tests and experiments
- Perform statistical analysis and fine-tuning using test results
- Train and retrain systems when necessary
Requirements for the Job
- Bachelor’s/Master's/PhD in Computer Science, Mathematics, Statistics or equivalent field andmust have a minimum of 2 years of overall experience in tier one colleges
- Minimum 1 year of experience working as a Data Scientist in deploying ML at scale in production
- Experience in machine learning techniques (e.g. NLP, Computer Vision, BERT, LSTM etc..) andframeworks (e.g. TensorFlow, PyTorch, Scikit-learn, etc.)
- Working knowledge in deployment of Python systems (using Flask, Tensorflow Serving)
- Previous experience in following areas will be preferred: Natural Language Processing(NLP) - Using LSTM and BERT; chatbots or dialogue systems, machine translation, comprehension of text, text summarization.
- Computer Vision - Deep Neural Networks/CNNs for object detection and image classification, transfer learning pipeline and object detection/instance segmentation (Mask R-CNN, Yolo, SSD).
Egregore Labs (www.egregorelabs.com) is a financial software company founded in 2017 by Prashant Vijay (ISB, Tulane) & Hari Balaji (IIM Ahmedabad, IIT Madras) both of whom have spent over a decade each in Financial Services, with a majority of their experience at Goldman Sachs across New York, Hong Kong & Singapore in roles across Trading, Quant & Technology.
Opportunity
We are looking for an experienced technical product manager to work with us. Our product combines Natural Language Processing, Computer Vision and Knowledge Graphs.
The Right Person For This Role Will
- Have a deep understanding of NLP, Computer Vision
- Potentially have exposure to Knowledge Graphs
- Have strong solution skills in translating customer needs to product requirements
- Engineering background mandatory, you will be expected to get hands-on with code and data
- Project manage the delivery of POCs and Product, interfacing with engineering and implementation teams
- Propose and implement fast Proof of Concepts and lightweight experiments
- Ability and experience working with technical teams, and development, requirement analysis, or PM experience around APIs is a plus
- Excellent analytical skills with a tendency to prefer data over instinct
- Experience working in a fast-paced environment, with competing resources and priorities, through planning, development, and launch.
- Exposure to data science will be a big plus.
- Exposure or experience in Financial Services a big plus
Here's are some of the things you might have to do on any given day :
- Join a client call and understand what their requirements are
- Work with a developer (or solo) to build a quick POC using our technologies for the client
- Work with the engineering team to build and deploy production solutions (cloud and on-prem)
- Do calls with client technical, architecture, and data science teams to explain our product and deployment
- At least 3 years of diverse experience in product or services organizations working on NLP driven products
- Experience in serving Enterprise / Fortune 500 Clients
- Familiarity with the competitive landscape of NLP and Computer Vision products
- Experience in IDP / RPA a big plus
- Expertise in programming using Python or similar scripting languages
- In-depth exposure to technologies used in web-based SaaS products, including REST APIs
- Sound understanding of Postgres and NoSQL databases such as MongoDB
- AWS
- Azure
- ELK
- Google APIs
- Microservices Architecture Pattern
We are looking for a person who has :
- Resourcefulness- - we're looking for versatile developers who are good at figuring out what they need to use, learn, build, re-purpose to get the job done quickly and efficiently.
- Ownership- - We like to be directive and not prescriptive in our management. We- d love for you to take ownership of what you work on, and tell us what to do, rather than the other way round.
- Work Ethic- - We've grown up on Wall Street. We work hard and have aggressive goals. We want our teammates to be focused, goal-oriented, and consistent high achievers.
- Execution Focus- - Our business is about getting things done and getting things done right. We want outcome-focused colleagues who can multi-task, and execute quickly and elegantly.
We are an early-stage company. Working here is not for the faint-hearted. An intense and unstructured work environment, lots of excitement, and a group of motivated colleagues is what we bring to the table. We ask you to bring your undivided attention, strong worth ethic & resourcefulness. We are Delhi-based and work 6 days a week. We operate in a Python environment.
Follow Cutshort