Business Development Associate

Experience in TeleSales, Telemarketing, B2B Sales, B2C Sales.

● Good Communication Skills

● Good Convincing Skills

● Flexible with working days and times

Communication: Excellent communication skills in English and/or any regional language(

Hindi, Marathi, Malayalam, Tamil, Gujarati)

● Agility: Ability to change according to business requirements.

● Motivation: Demonstrate a positive, ‘can-do’ attitude. Willing to roll up your sleeves and

● get things done.

● Data-driven: Keen interest in analyzing performance data and transforming it into actionable

strategies.

● Growth-driven: Keen to grow as an individual

Data Scientist is responsible to discover the information hidden in vast amounts of data, and help us make smarter decisions to deliver better products. Your primary focus will be in applying Machine Learning and Generative AI techniques for data mining and statistical analysis, Text analytics using NLP/LLM and building high quality prediction systems integrated with our products. The ideal candidate should have a prior background in Generative AI, NLP (Natural Language Processing), and Computer Vision techniques. Additionally, experience in working with current state of the art Large Language Models (LLMs), and Computer Vision algorithms.

Job Responsibilities:

»    Building models using best in AI/ML technology.

»    Leveraging your expertise in Generative AI, Computer Vision, Python, Machine Learning, and Data Science to develop cutting-edge solutions for our products.

»    Integrating NLP techniques, and utilizing LLM's in our products.

»    Training/fine tuning models with new/modified training dataset.

»    Selecting features, building and optimizing classifiers using machine learning techniques.

»    Conducting data analysis, curation, preprocessing, modelling, and post-processing to drive data-driven decision-making.

»    Enhancing data collection procedures to include information that is relevant for building analytic systems

»    Working understanding of cloud platforms (AWS).

»    Collaborating with cross-functional teams to design and implement advanced AI models and algorithms.

»    Involving in R&D activities to explore the latest advancements in AI technologies, frameworks, and tools.

»    Documenting project requirements, methodologies, and outcomes for stakeholders.

Technical skills

Mandatory

»    Minimum of 5 years  of experience as Machine Learning Researcher or Data Scientist.

»    Master's degree or Ph.D. (preferable) in Computer Science, Data Science, or a related field.

»    Should have knowledge and experience in working with Deep Learning projects using CNN, Transformers, Encoder and decoder architectures.

»    Working experience with LLM's (Large Language Models) and their applications (For e.g., tuning embedding models, data curation, prompt engineering, LoRA, etc.).

»    Familiarity with LLM Agents and related frameworks.

»    Good programming skills in Python and experience with relevant libraries and frameworks (e.g., PyTorch, and TensorFlow).

»    Good applied statistics skills, such as distributions, statistical testing, regression, etc.

»    Excellent understanding of machine learning and computer vision based techniques and algorithms.

»    Strong problem-solving abilities and a proactive attitude towards learning and adopting new technologies.

»    Ability to work independently, manage multiple projects simultaneously, and collaborate effectively with diverse stakeholders.

Nice to have

»    Exposure to financial research domain

»    Experience with JIRA, Confluence

»    Understanding of scrum and Agile methodologies

»    Basic understanding of NoSQL databases, such as MongoDB, Cassandra

Experience with data visualization tools, such as Grafana, GGplot, etc.

• Own the product strategy; Understand customer requirements, market gaps/ need gaps and drive release-level feature choices.
• Connect activities and deliverables to business outcomes.
• Should be highly granular & hands-on.
• Constantly test his own products, create edge cases and if required should have the ability to write and define product specs from scratch.
• Have the ability to be able to work with complex cross functional teams/ should be able to influence cross functional teams: Engineers, Architects, category, business & finance.
• Should be data obsessed.
• Derive insights from data and use the same for product improvements and iterations.
• Also educate cross functional teams with actionable derived from deep data insights.
• Must aggressively defend a good strategy against random changes, fads and single-customer escalations.
• Candidate must push to allocate technical resources strategically among products.
• Integrate usability studies, market analysis, CST use-cases, NPS related data into product requirements to enhance user satisfaction and execute product specs for further execution.
• Design and execute a continuous testing plan for important end-to-end flows working

• Should have the experience of managing healthy conflicts and drive people towards the customer goals and organisation priorities.
• Should have the ability to define economic rationale for every major effort and translate into metrics.
• Hand in hand with QA team to deliver excellent experience.
• Work experience in the Ecommerce industry is highly preferred.
• Desired Skills: - Passionate about building world class products on the web / mobile

• Someone who understands the difference between a user journey and a user flow.
• Crazy about building value for the end-user.
• Knows the importance of spending more time talking to customers and less time talking to management.
• Realizes the majority of the job is to identify, define and solve the right problems, fast.
• Dreads feature requests and just does not want to build new features till absolutely necessary.
• Can sell the product to the end customer.

Roles and responsibilities

• Own product strategy and roadmap for one of the core initiatives of the company ecosystem.
• Continuously work with a dedicated set of analysts and user researchers to understand user needs better.
• Generate detailed PRDs for feature proposals.
• Have a strong sense of product design and work with the UX team to convert requirements to product interfaces.
• Work with developers to ensure timely and high-quality delivery of user value.
• Track features, once in production. Work continuously for their success or take the call to remove them from the product.

• Expertise in React tools including React.js, Webpack, Babel, Redux/Flux, React router.
• In-depth knowledge of JavaScript, CSS, HTML, and front-end languages.
• Practised in any one CSS frameworks like material UI, Semantic UI, Bootstrap, ANT design.
• Experient working on web API like RESTful Web services, • Proficiency in using Graphql, WebSocket, webhooks.
• Should be able to design and build modern user interfaces to enhance application performance.
• Hands-on experience in browser-based debugging, performance testing software and deployment, with an attention to detail that supports the software development cycle.
• Experience with automated testing suites, like Jest or Mocha
• Experience in an Agile environment

• Bachelor’s degree in Computer Science, Information Technology, or a similar field.
• Previous experience working as a React.js Developer.(2-8 years)
• In-depth knowledge of JavaScript, CSS, HTML, and front-end languages.
• Knowledge of REACT tools including React.js, Webpack, Enzyme, Redux, and Flux.
• Experience with user interface design.
• Knowledge of performance testing frameworks including Mocha and Jest.
• Experience with browser-based debugging and performance testing software.
• should have hands-on experience in backend software development using Java.
• should have proven expertise in Spring Boot REST/Microservices.
• should have working experience with relational and NoSQL databases.

• 0-3 application development experience in solution building on Blockchain technology.
• Solid understanding of and experience in blockchain / distributed ledger technologies familiarity with platforms, such as Ethereum and Hyperledger.
• Any additional expertise with Python, containerization (Docker) and additional Cloud exposure also a huge plus
• Security Architecture / Cryptography is a plus.
• Any additional expertise with Python, containerization (Docker) and additional Cloud exposure also a huge plus.
• Experience on development tools such as Hyperledger Fabric/Sawtooth,Geth , Composer, Solidity Remix Functional
• Basic understanding of Web applications architecture and protocols.