Research Scientist - Machine Learning/Artificial Intelligence
Research Scientist - Machine Learning/Artificial Intelligence
Posted by Shobhit Rastogi
3 - 7 yrs
₹4L - ₹10L / yr
Delhi, Gurugram, Noida
Skills
Machine Learning (ML)Artificial Intelligence (AI)
Natural Language Processing (NLP)
Experience/qualifications requirements :
- 0 to 3 years of experience.
- MS/Phd/Btech in Computer Science or Applied Mathematics with focus on Artificial Intelligence, Machine Learning, Chat Application .
- Have published some research papers in Artificial Intelligence domain or contributed to some research which got implemented commercially.
- Proficiency in any one language Python/ .Net/ C++.
- Strong data structures and algorithmic skills.
- Self-motivated and passionate about Artificial General Intelligence.
Note-We are looking for full time candidate
Read more
Users love Cutshort
Read about what our users have to say about finding their next opportunity on Cutshort.
Shubham Vishwakarma
Full Stack Developer - AverlonI had an amazing experience. It was a delight getting interviewed via Cutshort. The entire end to end process was amazing. I would like to mention Reshika, she was just amazing wrt guiding me through the process. Thank you team.
Companies hiring on Cutshort
About Intellinet Systems
Founded :
2002
Type :
Product
Size :
20-100
Stage :
Profitable
About
Intellinet System, a part of BMG Group, has created a big name in the field of Software solutions, B2B Software and After Sales Information Management Solutions. Our team comprises of IIIT, NIT professionals and very passionate people. What we do? We are into development of Technical products/applications primarily focusing on B2B products for numerous verticals like Automobile, Construction, Machinery and Manufacturing We have developed a core Automobile Electronic Spare Parts Catalog Software used in companies like Mahindra etc. WMS- Warranty Management System is our latest product with the most innovative approach. Chat Bot- We are currently working on AI & Machine Learning developing domain specific bots that can help Manufacturing companies in increasing their sales.
Read more
Connect with the team
Company social profiles
Similar jobs
Bengaluru (Bangalore), Hyderabad, Gurugram, Noida, Pune, Mumbai, Chennai, Coimbatore
4yrs+
Best in industry
Generative AI
Machine Learning (ML)LLMOps
Large Language Models (LLM) tuning
Open-source LLMs
+15 more
Role description:
You will be building curated enterprise grade solutions for GenAI application deployment at a production scale for clients. Solid understanding and hands on skills for GenAI application deployment that includes development and engineering skills. The role requires development and engineering skills on GenAI application development including data ingestion, choosing the right fit LLMs, simple and advanced RAG, guardrails, prompt engineering for optimisation, traceability, security, LLM evaluation, observability, and deployment at scale on cloud or on premise. As this space evolves very rapidly, candidates must also demonstrate knowledge on agentic AI frameworks. Candidates having strong background on ML with engineering skills is highly preferred for LLMOps role.
Required skills:
- 4-8 years of experience in working on ML projects that includes business requirement gathering, model development, training, deployment at scale and monitoring model performance for production use cases
- Strong knowledge on Python, NLP, Data Engineering, Langchain, Langtrace, Langfuse, RAGAS, AgentOps (optional)
- Should have worked on proprietary and open source large language models
- Experience on LLM fine tuning, creating distilled model from hosted LLMs
- Building data pipelines for model training
- Experience on model performance tuning, RAG, guardrails, prompt engineering, evaluation and observability
- Experience in GenAI application deployment on cloud and on-premise at scale for production
- Experience in creating CI/CD pipelines
- Working knowledge on Kubernetes
- Experience in minimum one cloud: AWS / GCP / Azure to deploy AI services
- Experience in creating workable prototypes using Agentic AI frameworks like CrewAI, Taskweaver, AutoGen
- Experience in light weight UI development using streamlit or chainlit (optional)
- Desired experience on open-source tools for ML development, deployment, observability and integration
- Background on DevOps and MLOps will be a plus
- Experience working on collaborative code versioning tools like GitHub/GitLab
- Team player with good communication and presentation skills
Read more
Remote only
5 - 11 yrs
₹8L - ₹12L / yr
PythonNumPy
Machine Learning (ML)
Deep LearningNatural Language Processing (NLP)
+2 more
Dear Professionals!
We are HiringGENAIML Developer!
Key Skills & Qualifications
- Strong proficiency in Python, with a focus on GenAI best practices and frameworks.
- Expertise in machine learning algorithms, data modeling, and model evaluation.
- Experience with NLP techniques, computer vision, or generative AI.
- Deep knowledge of LLMs, prompt engineering, and GenAI technologies.
- Proficiency in data analysis tools like Pandas and NumPy.
- Hands-on experience with vector databases such as Weaviate or Pinecone.
- Familiarity with cloud platforms (AWS, Azure, GCP) for AI deployment.
- Strong problem-solving skills and critical-thinking abilities.
- Experience with AI model fairness, bias detection, and adversarial testing.
- Excellent communication skills to translate business needs into technical solutions.
Preferred Qualifications
- Bachelors or Masters degree in Computer Science, AI, or a related field.
- Experience with MLOps practices for model deployment and maintenance.
- Strong understanding of data pipelines, APIs, and cloud infrastructure.
- Advanced degree in Computer Science, Machine Learning, or a related field (preferred).
Read more
Remote only
3 - 6 yrs
₹3L - ₹15L / yr
Python
Data ScienceMachine Learning (ML)Natural Language Processing (NLP)
Computer Vision
+2 more
This role is primarily responsible for building AIML models and cognitive applications
Principal Accountabilities :
1. Good in communication and converting business requirements to functional requirements
2. Develop data-driven insights and machine learning models to identify and extract facts from sales, supply chain and operational data
3. Sound Knowledge and experience in statistical and data mining techniques: Regression, Random Forest, Boosting Trees, Time Series Forecasting, etc.
5. Experience in SOTA Deep Learning techniques to solve NLP problems.
6. End-to-end data collection, model development and testing, and integration into production environments.
7. Build and prototype analysis pipelines iteratively to provide insights at scale.
8. Experience in querying different data sources
9. Partner with developers and business teams for the business-oriented decisions
10. Looking for someone who dares to move on even when the path is not clear and be creative to overcome challenges in the data.
Principal Accountabilities :
1. Good in communication and converting business requirements to functional requirements
2. Develop data-driven insights and machine learning models to identify and extract facts from sales, supply chain and operational data
3. Sound Knowledge and experience in statistical and data mining techniques: Regression, Random Forest, Boosting Trees, Time Series Forecasting, etc.
5. Experience in SOTA Deep Learning techniques to solve NLP problems.
6. End-to-end data collection, model development and testing, and integration into production environments.
7. Build and prototype analysis pipelines iteratively to provide insights at scale.
8. Experience in querying different data sources
9. Partner with developers and business teams for the business-oriented decisions
10. Looking for someone who dares to move on even when the path is not clear and be creative to overcome challenges in the data.
Read more
Chennai, Bengaluru (Bangalore)
10 - 13 yrs
₹30L - ₹50L / yr
Engineering Management
Engineering Manager
Machine Learning (ML)Deep LearningPython +2 more
Job Title: Engineering Manager
Job Location: Chennai
Job Summary
The Engineering Org is looking for a proficient Engineering Manager to join a team that is building exciting
and futuristic Data Products at Condé Nast to enable both internal and external marketers to target
audiences in real time. As an Engineering Manager, you will drive the day-to-day execution of technical
and architectural decisions. EM will own engineering deliverables inclusive of solving dependencies
such as architecture, solutions, sequencing, and working with other engineering delivery teams.This role
is also responsible for driving innovation, prototyping, and recommending solutions. Above all, you will
influence how users interact with Conde Nast’s industry-leading journalism.
● Primary Responsibilities
● Manage a high performing team of Software and Data Engineers within the Data & ML
Engineering team part of Engineering Data Organization.
● Provide leadership and guidance to the team in Data Discovery, Data Ingestion, Transformation
and Storage
● Utilizing product mindset to build, scale and deploy holistic data products after successful
prototyping and drive their engineering implementation
● Provide technical coaching and lead direct reports and other members of adjacent support teams
to the highest level of performance..
● Evaluate performance of direct reports and offer career development guidance.
● Meeting hiring and retention targets of the team & building a high-performance culture
● Handle escalations from internal stakeholders and manage critical issues to resolution.
● Collaborate with Architects, Product Manager, Project Manager and other teams to deliver high
quality products.
● Identify recurring system and application issues and enable engineers to work with release teams,
infra teams, product development, vendors and other stakeholders in investigating and resolving
the cause.
● Required Skills
● 4+ years of managing Software Development teams, preferably in ML and Data
Engineering teams.
● 4+ years of Agile Software development practices
● 12+ years of Software Development experience.
● Excellent Problem Solving and System Design skill
● Hands on: Writing and Reviewing code primarily in Spark, Python and/or Java
● Hand on: Architect & Design end to end Data Pipeline (noSQL databases, Job Schedulers, Big
Data Development preferably on Databricks / Cloud)
● Experience with SOA & Microservice architecture
● Knowledge of Software Engineering best practices with experience on implementing CI/CD,
Log aggregation/Monitoring/alerting for production system
● Working Knowledge of cloud and devops skills (AWS will be preferred)
● Strong verbal and written communication skills.
● Experience in evaluating team member performance and offering career development
guidance.
● Experience in providing technical coaching to direct reports.
● Experience in architecting highly scalable products.
● Experience in collaborating with global stakeholder teams.
● Experience in working on highly available production systems.
● Strong knowledge of software release process and release pipeline.
About Condé Nast
CONDÉ NAST INDIA (DATA)
Over the years, Condé Nast successfully expanded and diversified into digital, TV, and social
platforms - in other words, a staggering amount of user data. Condé Nast made the right move to
invest heavily in understanding this data and formed a whole new Data team entirely dedicated to
data processing, engineering, analytics, and visualization. This team helps drive engagement, fuel
process innovation, further content enrichment, and increase market revenue. The Data team
aimed to create a company culture where data was the common language and facilitate an
environment where insights shared in real-time could improve performance.
The Global Data team operates out of Los Angeles, New York, Chennai, and London. The team at
Condé Nast Chennai works extensively with data to amplify its brands' digital capabilities and boost
online revenue. We are broadly divided into four groups, Data Intelligence, Data Engineering, Data
Science, and Operations (including Product and Marketing Ops, Client Services) along with Data
Strategy and monetization. The teams built capabilities and products to create data-driven solutions
for better audience engagement.
What we look forward to:
We want to welcome bright, new minds into our midst and work together to create diverse forms of
self-expression. At Condé Nast, we encourage the imaginative and celebrate the extraordinary. We
are a media company for the future, with a remarkable past. We are Condé Nast, and It Starts Here.
Job Location: Chennai
Job Summary
The Engineering Org is looking for a proficient Engineering Manager to join a team that is building exciting
and futuristic Data Products at Condé Nast to enable both internal and external marketers to target
audiences in real time. As an Engineering Manager, you will drive the day-to-day execution of technical
and architectural decisions. EM will own engineering deliverables inclusive of solving dependencies
such as architecture, solutions, sequencing, and working with other engineering delivery teams.This role
is also responsible for driving innovation, prototyping, and recommending solutions. Above all, you will
influence how users interact with Conde Nast’s industry-leading journalism.
● Primary Responsibilities
● Manage a high performing team of Software and Data Engineers within the Data & ML
Engineering team part of Engineering Data Organization.
● Provide leadership and guidance to the team in Data Discovery, Data Ingestion, Transformation
and Storage
● Utilizing product mindset to build, scale and deploy holistic data products after successful
prototyping and drive their engineering implementation
● Provide technical coaching and lead direct reports and other members of adjacent support teams
to the highest level of performance..
● Evaluate performance of direct reports and offer career development guidance.
● Meeting hiring and retention targets of the team & building a high-performance culture
● Handle escalations from internal stakeholders and manage critical issues to resolution.
● Collaborate with Architects, Product Manager, Project Manager and other teams to deliver high
quality products.
● Identify recurring system and application issues and enable engineers to work with release teams,
infra teams, product development, vendors and other stakeholders in investigating and resolving
the cause.
● Required Skills
● 4+ years of managing Software Development teams, preferably in ML and Data
Engineering teams.
● 4+ years of Agile Software development practices
● 12+ years of Software Development experience.
● Excellent Problem Solving and System Design skill
● Hands on: Writing and Reviewing code primarily in Spark, Python and/or Java
● Hand on: Architect & Design end to end Data Pipeline (noSQL databases, Job Schedulers, Big
Data Development preferably on Databricks / Cloud)
● Experience with SOA & Microservice architecture
● Knowledge of Software Engineering best practices with experience on implementing CI/CD,
Log aggregation/Monitoring/alerting for production system
● Working Knowledge of cloud and devops skills (AWS will be preferred)
● Strong verbal and written communication skills.
● Experience in evaluating team member performance and offering career development
guidance.
● Experience in providing technical coaching to direct reports.
● Experience in architecting highly scalable products.
● Experience in collaborating with global stakeholder teams.
● Experience in working on highly available production systems.
● Strong knowledge of software release process and release pipeline.
About Condé Nast
CONDÉ NAST INDIA (DATA)
Over the years, Condé Nast successfully expanded and diversified into digital, TV, and social
platforms - in other words, a staggering amount of user data. Condé Nast made the right move to
invest heavily in understanding this data and formed a whole new Data team entirely dedicated to
data processing, engineering, analytics, and visualization. This team helps drive engagement, fuel
process innovation, further content enrichment, and increase market revenue. The Data team
aimed to create a company culture where data was the common language and facilitate an
environment where insights shared in real-time could improve performance.
The Global Data team operates out of Los Angeles, New York, Chennai, and London. The team at
Condé Nast Chennai works extensively with data to amplify its brands' digital capabilities and boost
online revenue. We are broadly divided into four groups, Data Intelligence, Data Engineering, Data
Science, and Operations (including Product and Marketing Ops, Client Services) along with Data
Strategy and monetization. The teams built capabilities and products to create data-driven solutions
for better audience engagement.
What we look forward to:
We want to welcome bright, new minds into our midst and work together to create diverse forms of
self-expression. At Condé Nast, we encourage the imaginative and celebrate the extraordinary. We
are a media company for the future, with a remarkable past. We are Condé Nast, and It Starts Here.
Read more
Remote only
3 - 10 yrs
₹15L - ₹45L / yr
Docker
KubernetesApache Kafka
Apache Beam
Python +2 more
Emeritus is committed to teaching the skills of the future by making high-quality education accessible and affordable to individuals, companies, and governments around the world. It does this by collaborating with more than 50 top-tier universities across the United States, Europe, Latin America, Southeast Asia, India and China. Emeritus’ short courses, degree programs, professional certificates, and senior executive programs help individuals learn new skills and transform their lives, companies and organizations. Its unique model of state-of-the-art technology, curriculum innovation, and hands-on instruction from senior faculty, mentors and coaches has educated more than 250,000 individuals across 80+ countries. Founded in 2015, Emeritus, part of Eruditus Group, has more than 2,000 employees globally and offices in Mumbai, New Delhi, Shanghai, Singapore, Palo Alto, Mexico City, New York, Boston, London, and Dubai. Following its $650 million Series E funding round in August 2021, the Company is valued at $3.2 billion, and is backed by Accel, SoftBank Vision Fund 2, the Chan Zuckerberg Initiative, Leeds Illuminate, Prosus Ventures, Sequoia Capital India, and Bertelsmann.
As a data engineer at Emeritus, you'll be working on a wide variety of data problems. At this fast paced company, you will frequently have to balance achieving an immediate goal with building sustainable and scalable architecture. The ideal candidate gets excited about streaming data, protocol buffers and microservices. They want to develop and maintain a centralized data platform that provides accurate, comprehensive, and timely data to a growing organization
Role & responsibilities:
- Developing ETL pipelines for data replication
- Analyze, query and manipulate data according to defined business rules and procedures
- Manage very large-scale data from a multitude of sources into appropriate sets for research and development for data science and analysts across the company
- Convert prototypes into production data engineering solutions through rigorous software engineering practices and modern deployment pipelines
- Resolve internal and external data exceptions in timely and accurate manner
- Improve multi-environment data flow quality, security, and performance
Skills & qualifications:
- Must have experience with:
- virtualization, containers, and orchestration (Docker, Kubernetes)
- creating log ingestion pipelines (Apache Beam) both batch and streaming processing (Pub/Sub, Kafka)
- workflow orchestration tools (Argo, Airflow)
- supporting machine learning models in production
- Have a desire to continually keep up with advancements in data engineering practices
- Strong Python programming and exploratory data analysis skills
- Ability to work independently and with team members from different backgrounds
- At least a bachelor's degree in an analytical or technical field. This could be applied mathematics, statistics, computer science, operations research, economics, etc. Higher education is welcome and encouraged.
- 3+ years of work in software/data engineering.
- Superior interpersonal, independent judgment, complex problem-solving skills
- Global orientation, experience working across countries, regions and time zones
Emeritus provides equal employment opportunities to all employees and applicants for employment and prohibits discrimination and harassment of any type without regard to race, color, religion, age, sex, national origin, disability status, genetics, protected veteran status, sexual orientation, gender identity or expression, or any other characteristic protected by federal, state or local laws.
Read more
Hyderabad
0 - 1 yrs
₹1.8L - ₹3L / yr
Data ScienceMachine Learning (ML)Natural Language Processing (NLP)
Computer Vision
recommendation algorithm
Hi We are Looking foe Data Science AI Professional role for our KPHB, Hyderabad Branch Requirements:
• Min 6 months to 1 Year experience in Data Science AI
• Need to have proven Experience with Good GitHub profile and projects
• Need to good with Data Science & AI Concepts
• Need to be good with Python, ML, Stats, Deep Learning, NLP, OpenCV etc
• Good Communication and presentation skills
Read more
Bengaluru (Bangalore)
3 - 7 yrs
₹4L - ₹20L / yr
Machine Learning (ML)Natural Language Processing (NLP)
Artificial Intelligence (AI)
chat bot
Role Description: The Chatbot Developer will develop software and system architecture while ensuring alignment with enterprise technology standards (e.g., solution patterns, application frameworks).
Responsibilities:
- Develop REST/JSON API’s Design code for high scale/availability/resiliency.
- Develop responsive web apps and integrate APIs using NodeJS.
- Presenting Chat efficiency reports to higher Management
- Develop system flow diagrams to automate a business function and identify impacted systems; metrics to depict the cost benefit analysis of the solutions developed.
- Work closely with business operations to convert requirements into system solutions and collaborate with development teams to ensure delivery of highly scalable and available systems.
- Using tools to classify/categorize the chat based on intents and coming up with F1 score for Chat Analysis
- Experience in analyzing real agents Chat conversation with agent to train the Chatbot.
- Developing Conversational Flows in the chatbot
- Calculating Chat efficiency reports.
Good to Have:
- Monitors performance and quality control plans to identify performance.
- Works on problems of moderate and varied complexity where analysis of data may require adaptation of standardized practices.
- Works with management to prioritize business and information needs.
- Experience in analyzing real agents Chat conversation with agent to train the Chatbot.
- Identifies, analyzes, and interprets trends or patterns in complex data sets.
- Ability to manage multiple assignments.
- Understanding of ChatBot Architecture.
- Experience of Chatbot training
Responsibilities:
- Develop REST/JSON API’s Design code for high scale/availability/resiliency.
- Develop responsive web apps and integrate APIs using NodeJS.
- Presenting Chat efficiency reports to higher Management
- Develop system flow diagrams to automate a business function and identify impacted systems; metrics to depict the cost benefit analysis of the solutions developed.
- Work closely with business operations to convert requirements into system solutions and collaborate with development teams to ensure delivery of highly scalable and available systems.
- Using tools to classify/categorize the chat based on intents and coming up with F1 score for Chat Analysis
- Experience in analyzing real agents Chat conversation with agent to train the Chatbot.
- Developing Conversational Flows in the chatbot
- Calculating Chat efficiency reports.
Good to Have:
- Monitors performance and quality control plans to identify performance.
- Works on problems of moderate and varied complexity where analysis of data may require adaptation of standardized practices.
- Works with management to prioritize business and information needs.
- Experience in analyzing real agents Chat conversation with agent to train the Chatbot.
- Identifies, analyzes, and interprets trends or patterns in complex data sets.
- Ability to manage multiple assignments.
- Understanding of ChatBot Architecture.
- Experience of Chatbot training
Read more
Chennai
13.5 - 28 yrs
₹15L - ₹37L / yr
Data ScienceMachine Learning (ML)Deep LearningOpenCV
Solution architecture
+4 more
GREETINGS FROM CODEMANTRA !!!
EXCELLENT OPPORTUNITY FOR DATA SCIENCE/AI AND ML ARCHITECT !!!
Skills and Qualifications
*Strong Hands-on experience in Python Programming
*** Working experience with Computer Vision models - Object Detection Model, Image Classification
* Good experience in feature extraction, feature selection techniques and transfer learning
* Working Experience in building deep learning NLP Models for text classification, image analytics-CNN,RNN,LSTM.
* Working Experience in any of the AWS/GCP cloud platforms, exposure in fetching data from various sources.
* Good experience in exploratory data analysis, data visualisation, and other data pre-processing techniques.
* Knowledge in any one of the DL frameworks like Tensorflow, Pytorch, Keras, Caffe Good knowledge in statistics, distribution of data and in supervised and unsupervised machine learning algorithms.
* Exposure to OpenCV Familiarity with GPUs + CUDA Experience with NVIDIA software for cluster management and provisioning such as nvsm, dcgm and DeepOps.
* We are looking for a candidate with 9+ years of relevant experience , who has attained a Graduate degree in Computer Science, Statistics, Informatics, Information Systems or another quantitative field. They should also have experience using the following software/tools: *Experience with big data tools: Hadoop, Spark, Kafka, etc.
*Experience with AWS cloud services: EC2, RDS, AWS-Sagemaker(Added advantage)
*Experience with object-oriented/object function scripting languages in any: Python, Java, C++, Scala, etc.
Responsibilities
*Selecting features, building and optimizing classifiers using machine learning techniques
*Data mining using state-of-the-art methods
*Enhancing data collection procedures to include information that is relevant for building analytic systems
*Processing, cleansing, and verifying the integrity of data used for analysis
*Creating automated anomaly detection systems and constant tracking of its performance
*Assemble large, complex data sets that meet functional / non-functional business requirements.
*Secure and manage when needed GPU cluster resources for events
*Write comprehensive internal feedback reports and find opportunities for improvements
*Manage GPU instances/machines to increase the performance and efficiency of the ML/DL model
Regards
Ranjith PRRead more
Bengaluru (Bangalore)
1 - 4 yrs
₹5L - ₹15L / yr
Data SciencePythonMachine Learning (ML)Natural Language Processing (NLP)
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
Read more
Hyderabad, Bengaluru (Bangalore)
1 - 6 yrs
₹1.3L - ₹6.3L / yr
Python
MongoDBMachine Learning (ML)Natural Language Processing (NLP)
Artificial Intelligence (AI)
+2 more
3 or more years of experience in Python programming Good understanding of Object oriented programming concept. Should have working knowledge with flask and mongodb. At least 2 - 3years experience in Machine learning and NLP Proficient with machine learning and deep learning libraries like Pandas,Numpy,Scikit learn,Tensorflow, and Keras, Expertise into deep learning- neural networks would add advantages Proficient with Any Natural language processing library like NLTK or Spacy Hands-on technical experience of Artificial intelligence using open source programming languages and analytics software. Experience using data science techniques such as web scraping, text mining, natural language processing, machine learning, statistical modelling or image recognition Data visualisation skills, e.g. in Tableau or qlikview would add advantage.
Read more
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.
21,01,133
Matches delivered
37,12,187
Network size
15,000
Companies hiring
Did not find a job you were looking for?
Search for relevant jobs from 10000+ companies such as Google, Amazon & Uber actively hiring on Cutshort.
Follow CutshortUsers love Cutshort
Read about what our users have to say about finding their next opportunity on Cutshort.
Shubham Vishwakarma
Full Stack Developer - AverlonI had an amazing experience. It was a delight getting interviewed via Cutshort. The entire end to end process was amazing. I would like to mention Reshika, she was just amazing wrt guiding me through the process. Thank you team.
Companies hiring on Cutshort