
Business Developer
Candidate Profile
- Education: M. Pharmacy or B. Pharmacy with MBA
- Experience: 4–5 years
- Location: Hyderabad (mandatory)
- Gender: Male
- Travel: Willingness to travel frequently to Mumbai
- Domain Knowledge:
- Pharma finished dosage formulations
- Licensing deals and techno-commercial exposure
- Should have Hyderabad pharma network
- Ability to initiate formulation licensing deals for US & EU regulated markets
Key Responsibilities
- Support business development efforts for regulated markets, primarily US and EU
- Understand regulatory requirements and build / maintain relevant databases
- Provide end-to-end BD support to the BD Manager
- Analyse data and present concise summaries to aid management decision-making
- Focus on opportunities in regulated markets
- Handle techno-commercial evaluations
- Follow up on potential opportunities and convert them into qualified leads
- Prepare and manage costing sheets

About Hunarstreet Technologies Pvt Ltd
About
At Hunarstreet Technologies Pvt Ltd, we specialize in delivering India’s fastest hiring solutions, tailored to meet the unique needs of businesses across various industries. Our mission is to connect companies with exceptional talent, enabling them to achieve their growth and operational goals swiftly and efficiently.
We are able to achieve a success rate of 87% in relevancy of candidates to the job position and 62% success rate in closing positions shared with us.
Similar jobs
Required Skills & Qualifications:
- Minimum 1 year of experience as a cashier or billing executive.
- Good communication skills in Kannada, Hindi, English, and Tamil.
- Basic computer knowledge and billing software experience.
- High level of honesty and accuracy in handling cash.
- Customer-friendly attitude and professional behavior.
We're looking for a Data Entry Executive who is down to earth and is willing to learn. In this role, most of your time is likely to be spent on data entry related tasks.
Responsibilities
->Collecting and managing data.
-> Maintaining documents and sheets, updating changes.
->Maintaining bills and expense invoices
->Data entry tasks
Qualifications
-> Candidates must have good computer knowledge and typing skills.
-> Web browsing and data collection from the internet
Responsibilities
- Participate in the entire application lifecycle, focusing on coding and debugging
- Write clean code to develop functional web applications
- Troubleshoot and debug applications
- Collaborate with Front-end developers to integrate user-facing elements with server-side logic
- Gather and address technical and design requirements
- Provide training and support to internal teams
- Build reusable code and libraries for future use
- Liaise with developers, designers to identify new features
- Follow emerging technologies
Requirements
- Spent at least 3 yrs in a solid back end role
- Experience taking a problem to a product solution (module/product)
- Prior experience working with startups and understand the fast-paced, dynamic nature of work
- Javascript, NodeJS
- Client-server architecture
- OOP concepts, including design patterns
- Understanding of RDBMS (MySQL, Postgresql)
- Understanding of REST API
- Familiarity with frameworks such as ExpressJs
- Knowledge of TDD frameworks mocha, chai, jest, etc
- Knowledge of AWS (Lambda, RDS, EC2, SQS, S3, ECS, etc)
- Basic knowledge of Typescript, NextJs
- Prior experience in fin-tech

Job Description
-
Able to design and architect product solutions.
- Sound knowledge in OOPS concepts and OOAD
-
Knowledge on C++ 11/14, STL and BOOST libraries usage is added advantage
-
Implementation of automated testing & unit test framework
-
Know how on profiling tools & debugger
-
Developed software with interfaces to low level system and hardware resources
-
Excellent communication skills, written and verbal
-
Team player & high review aspects with CPP Core guidelines
-
Requirements Engineering and Bug Tracking tools
-
Thorough knowledge in Build and Release. Good exposure on GIT, Gerrit, SVN and Jenkins
-
Should be a quick learner and can take on things independently
-
Autosar / Automotive Domain knowledge would be a plus
Qualifications
BE/ BTech. in CS/IT/ENC/EEE
Additional Information
Having 4 to 8 years of experience
The ideal candidate will be responsible for designing, developing, testing, and debugging mobile applications for the company. Using Swift / Kotlin this candidate will be able to translate user and business needs into functional frontend design.
Responsibilities
- Designing, developing, and testing UI for mobile applications
- Build reusable code and libraries for future use
- Accurately translate user and business needs into functional frontend code
Qualifications
- 3+ years' experience in frontend development
- Experience building mobile applications using Kotlin or Swift.
o Minimum 8 years of overall experience in software development.
o Experience as a Lead developer .
o Experience with AWS,Architecture, Node js.
DataWeave provides Retailers and Brands with “Competitive Intelligence as a Service” that enables them to take key decisions that impact their revenue. Powered by AI, we provide easily consumable and actionable competitive intelligence by aggregating and analyzing billions of publicly available data points on the Web to help businesses develop data-driven strategies and make smarter decisions.
Data Science@DataWeave
We the Data Science team at DataWeave (called Semantics internally) build the core machine learning backend and structured domain knowledge needed to deliver insights through our data products. Our underpinnings are: innovation, business awareness, long term thinking, and pushing the envelope. We are a fast paced labs within the org applying the latest research in Computer Vision, Natural Language Processing, and Deep Learning to hard problems in different domains.
How we work?
It's hard to tell what we love more, problems or solutions! Every day, we choose to address some of the hardest data problems that there are. We are in the business of making sense of messy public data on the web. At serious scale!
What do we offer?
- Some of the most challenging research problems in NLP and Computer Vision. Huge text and image datasets that you can play with!
- Ability to see the impact of your work and the value you're adding to our customers almost immediately.
- Opportunity to work on different problems and explore a wide variety of tools to figure out what really excites you.
- A culture of openness. Fun work environment. A flat hierarchy. Organization wide visibility. Flexible working hours.
- Learning opportunities with courses and tech conferences. Mentorship from seniors in the team.
- Last but not the least, competitive salary packages and fast paced growth opportunities.
Who are we looking for?
The ideal candidate is a strong software developer or a researcher with experience building and shipping production grade data science applications at scale. Such a candidate has keen interest in liaising with the business and product teams to understand a business problem, and translate that into a data science problem. You are also expected to develop capabilities that open up new business productization opportunities.
We are looking for someone with 6+ years of relevant experience working on problems in NLP or Computer Vision with a Master's degree (PhD preferred).
Key problem areas
- Preprocessing and feature extraction noisy and unstructured data -- both text as well as images.
- Keyphrase extraction, sequence labeling, entity relationship mining from texts in different domains.
- Document clustering, attribute tagging, data normalization, classification, summarization, sentiment analysis.
- Image based clustering and classification, segmentation, object detection, extracting text from images, generative models, recommender systems.
- Ensemble approaches for all the above problems using multiple text and image based techniques.
Relevant set of skills
- Have a strong grasp of concepts in computer science, probability and statistics, linear algebra, calculus, optimization, algorithms and complexity.
- Background in one or more of information retrieval, data mining, statistical techniques, natural language processing, and computer vision.
- Excellent coding skills on multiple programming languages with experience building production grade systems. Prior experience with Python is a bonus.
- Experience building and shipping machine learning models that solve real world engineering problems. Prior experience with deep learning is a bonus.
- Experience building robust clustering and classification models on unstructured data (text, images, etc). Experience working with Retail domain data is a bonus.
- Ability to process noisy and unstructured data to enrich it and extract meaningful relationships.
- Experience working with a variety of tools and libraries for machine learning and visualization, including numpy, matplotlib, scikit-learn, Keras, PyTorch, Tensorflow.
- Use the command line like a pro. Be proficient in Git and other essential software development tools.
- Working knowledge of large-scale computational models such as MapReduce and Spark is a bonus.
- Be a self-starter—someone who thrives in fast paced environments with minimal ‘management’.
- It's a huge bonus if you have some personal projects (including open source contributions) that you work on during your spare time. Show off some of your projects you have hosted on GitHub.
Role and responsibilities
- Understand the business problems we are solving. Build data science capability that align with our product strategy.
- Conduct research. Do experiments. Quickly build throw away prototypes to solve problems pertaining to the Retail domain.
- Build robust clustering and classification models in an iterative manner that can be used in production.
- Constantly think scale, think automation. Measure everything. Optimize proactively.
- Take end to end ownership of the projects you are working on. Work with minimal supervision.
- Help scale our delivery, customer success, and data quality teams with constant algorithmic improvements and automation.
- Take initiatives to build new capabilities. Develop business awareness. Explore productization opportunities.
- Be a tech thought leader. Add passion and vibrance to the team. Push the envelope. Be a mentor to junior members of the team.
- Stay on top of latest research in deep learning, NLP, Computer Vision, and other relevant areas.








