Junior NLP Engineer – Named Entity Recognition (NER) & Ontology Design

Generalist Intern

Employment Type: Internship (Immediate Joining Preferred)

Location: Charni Road, Mumbai

About

BizDateUp Venture Studio Private Limited We're on a mission to make entrepreneurship easier and more affordable for millions. BizDateUp Venture Studio Private Limited provides a simple and intuitive platform for setting up a business and managing compliance. About the Role BizDateUp Venture Studio Private Limited is looking for a proactive and detail-oriented Generalist Intern to join our team. This role offers a fantastic opportunity to gain hands-on experience across various aspects of business operations, including documentation management, compliance support, banking coordination, and general administrative assistance. The ideal candidate will be eager to learn, highly organized, and possess excellent communication skills.

Key Responsibilities

• Documentation and Paperwork Management: Assist in preparing and managing various documents, ensuring accuracy, completeness, and timely delivery. You'll also draft basic letters, reports, and official communications as per instructions.

• Banking and KYC Coordination: Coordinate with banks for account openings and manage other banking-related processes. You'll help collect, prepare, and submit documents for account opening and Know Your Customer (KYC) compliance.

• Compliance Support: Provide support in ensuring compliance with regulatory and internal policies, and maintain organized, up-to-date records.

• Administrative Support: Offer day-to-day administrative assistance to the team, including scheduling, filing, and correspondence. You'll also contribute to streamlining and improving internal processes related to documentation, compliance, and recordkeeping.

Qualifications

• Currently pursuing or recently completed a Bachelor's degree in Business Administration, Commerce, Law, or a related field.

• Strong attention to detail and a high level of accuracy in your work.

• Excellent written and verbal communication skills.

• Proficiency in Microsoft Office Suite (Word, Excel, PowerPoint).

• Ability to work independently and as part of a team.

• A proactive attitude with a willingness to learn and take on new challenges.

• Ability to manage multiple tasks and prioritize effectively.

What We Offer

• An opportunity to gain valuable hands-on experience in a fast-paced business environment.

• Mentorship and guidance from experienced professionals.

• Exposure to various aspects of business operations, including legal, finance, and administration.

• A supportive and collaborative work culture.

• Potential for future opportunities based on performance.

Carsome’s Data Department is on the lookout for a Data Scientist/Senior Data Scientist who has a strong passion in building data powered products.

Data Science function under the Data Department has a responsibility for standardisation of methods, mentoring team of data science resources/interns, including code libraries and documentation, quality assurance of outputs, modeling techniques and statistics, leveraging a variety of technologies, open-source languages, and cloud computing platform. 

You will get to lead & implement projects such as price optimization/prediction, enabling iconic personalization experiences for our customer, inventory optimization etc.

Job Descriptions

• Identifying and integrating datasets that can be leveraged through our product and work closely with data engineering team to develop data products.
• Execute analytical experiments methodically to help solve various problems and make a true impact across functions such as operations, finance, logistics, marketing. 
• Identify, prioritize, and design testing opportunities that will inform algorithm enhancements. 
• Devise and utilize algorithms and models to mine big data stores, perform data and error analysis to improve models and clean and validate data for uniformity and accuracy.
• Unlock insights by analyzing large amounts of complex website traffic and transactional data. 
• Implement analytical models into production by collaborating with data analytics engineers.

Technical Requirements

• Expertise in model design, training, evaluation, and implementation ML Algorithm expertise K-nearest neighbors, Random Forests, Naive Bayes, Regression Models. PyTorch, TensorFlow, Keras, deep learning expertise, tSNE, gradient boosting expertise, regression implementation expertise, Python, Pyspark, SQL, R, AWS Sagemaker /personalize etc.
• Machine Learning / Data Science Certification

Experience & Education 

• Bachelor’s in Engineering / Master’s in Data Science  / Postgraduate Certificate in Data Science. 

Job Description:-

We are looking for an IOS developer responsible for the development and maintenance of applications aimed at a range of IOS devices including mobile phones and tablet computers. Your primary focus will be the development of IOS applications and their integration with back-end services. You will be working alongside other engineers and developers working on different layers of the infrastructure. Therefore, a commitment to collaborative problem-solving, sophisticated design, and the creation of the quality product is essential.

Responsibilities:-

• Design and build applications for the IOS platform.
• Ensure the performance, quality and responsiveness of applications.
• Collaborate with a team to define, design, and ship new features.
• Identify and correct bottlenecks and fix bugs.
• Help maintain code quality, organization and automatization.

Skills:-

• Proficient with Objective-C or Swift, and Cocoa touch
• Experience with IOS frameworks such as Core Data, Core Animation, etc.
• Experience with offline storage, threading and performance tuning.
• Familiarity with RESTful APIs to connect IOS applications to back-end services.
• Knowledge of other web technologies and UI/UX Standards.
• Understanding of Apple's design principles and interface guidelines.
• Knowledge of low-level C-based libraries is preferred.
• Experience with performance and memory tuning with tools such as Instruments and Shark, depending on project needs.
• Familiarity with cloud message APIs and push notifications.
• A knack for benchmarking and optimization.
• Proficient understanding of code versioning tools such as Git, Mercurial or SVN.
• Familiarity with continuous Integration.

• Adept at Machine learning techniques and algorithms.

Feature selection, dimensionality reduction, building and

• optimizing classifiers using machine learning techniques
• Data mining using state-of-the-art methods
• Doing ad-hoc analysis and presenting results
• Proficiency in using query languages such as N1QL, SQL

Experience with data visualization tools, such as D3.js, GGplot,

• Plotly, PyPlot, etc.

Creating automated anomaly detection systems and constant tracking

• of its performance
• Strong in Python is a must.
• Strong in Data Analysis and mining is a must
• Deep Learning, Neural Network, CNN, Image Processing (Must)

Building analytic systems - data collection, cleansing and

• integration

Experience with NoSQL databases, such as Couchbase, MongoDB,

Cassandra, HBase

• 12+ years of experience in software development with least 3 years of experience as an Enterprise Architect
• Proven and demonstrable experience in creating scalable solutions
• Proven experience with leading large-scale builds, with multiple squads running at the same time
• Familiar with production Cloud / DevOps environments
• Strong analytical and problem-solving skills paired with the ability to develop creative and efficient solutions
• Good leadership and motivational skills
• Excellent interpersonal, oral, and written communication skills
• Experience in modeling and graphic representation

Technology / Tools :-

• Digital Lending Stack
• SFDC
• AWS services

Good to have skills:-

• Open-source contribution
• SFDC certification
• TOGAF 9 Certification

Key responsibilities

• Evaluate internal functions, business development strategies, and IT processes; suggest improvements
• Create business architecture models to reflect the organization's strategies and goals; create and implement business visions and goals by solutioning new implementations/improvements
• Facilitate decision making on technology architecture, build versus buy strategies and vendor (keeping in mind the IT cost)
• Architectural leadership in the resolutions of inter-program and inter-project issues; problem solve on tech challenges faced
• Audit compliance with the Enterprise Architecture standards
• Ongoing publicity and communication of the Enterprise Architecture both within the IT community, and the business units
• Ongoing research and assessment of new analysis approaches for potential use within the Enterprise
• Mentor and Coach the technical team to effectively build solutions; organize training to improve employees' knowledge and skills for future organizational growth
• Thought partner with the CIO on people, process, and platform decision