Business Development Associate

Strong Data Scientist/Machine Learnings/ AI Engineer Profile

Mandatory (Experience 1) – Must have 2+ years of hands-on experience as a Data Scientist or Machine Learning Engineer building ML models

Mandatory (Experience 2) – Must have strong expertise in Python with the ability to implement classical ML algorithms including linear regression, logistic regression, decision trees, gradient boosting, etc.

Mandatory (Experience 3) – Must have hands-on experience in minimum 2+ usecaseds out of recommendation systems, image data, fraud/risk detection, price modelling, propensity models

Mandatory (Experience 4) – Must have strong exposure to NLP, including text generation or text classification (Text G), embeddings, similarity models, user profiling, and feature extraction from unstructured text

Mandatory (Experience 5) – Must have experience productionizing ML models through APIs/CI/CD/Docker and working on AWS or GCP environments

Mandatory (Company) – Must be from product companies, Avoid candidates from financial domains (e.g., JPMorgan, banks, fintech)

A legacy of 20+ years AMFI registered Mutual Fund Distributor and Financial Intermediary for various Investment & Insurance products. Amongst the top 0.5% registered Mutual Fund Distributors in India by AUM out of a total universe of more than 1.25lakh distributors. We manage the personal finances of 800+ families and 6000 + financial dreams. Near 100% client retention rate. Complete suite of Conventional & Alternative Investment & Insurance Products.

Job Profile

Job Profile & Responsibilities:

A) Key Responsibility Area

Client Sourcing

Periodical Financial Review

Day to Day Coordination between Client & Operations

Up sell and Cross sell

Renewals of Investment & Insurance Products

B) Key Performance Indicator

New Client Conversion

Client Retention

New Client Referrals

Product Sales Outcomes

100% Renewals

100% Client Wallet Share

Qualifications

CFP/ NISM Level-1 & Level-2 Registered Investment Advisor Certification & NISM V-A MF Certification

Other Skills-Advanced working knowledge of Excel, Basic Knowledge of Word & Power Point,

Good written and spoken English

Good written and spoken English

Working Days -Time

6 days working time : 9:30-6:30

Recruiter Instructionns

company strenght 20-25 employess

Desired Candidate Profile

Willingness to make a long term career in Wealth Management

Attributes of Trust, Integrity, Self Starter, Closure Focus, Customer Focus

Willingness to Learn, Attention to Detail, Team Player

1 to 3 years relevant work experience with a AMFI registered Mutual Fund Distributor or Mutual Fund House

About Plum

We are making health insurance - simple, accessible and affordable. Hundreds of businesses of all sizes from startups to large corporates trust Plum for their employee's health protection.

Healthcare in India is seeing a phenomenal shift. Healthcare cost is seeing an inflation that is three times the general inflation. Treatments of diseases including Covid-19 can wipe out entire household savings. Majority of Indians won't be able to afford a health insurance on their own. As many as 600mn Indians would depend on employer-sponsored insurance.

Enter Plum. Plum is re-imagining the health insurance stack, and accelerating the penetration of health insurance in India to 100%. Plum has forged new underwriting and fraud detection algorithms to enable companies as small as 2 to benefit from a group insurance. The platform enables realtime insurance design & pricing to enable companies to buy insurance in 3-clicks. And offers employees a hassle-free claims experience through an integrated digital process.

Plum is backed by leading global investors including Tiger Global, Sequoia Capital, Tanglin Ventures and Incubate Fund (read more https://www.plumhq.com/blog/plum-series-a-funding">here)

About the role

Having found exceptional product/market fit, we’re in the midst of transitioning from 'start-up' to ‘scale-up’, and looking for a full stack engineer to help us scale Plum.

You will have a direct impact on the customer experience through the design and implementation of new features and functionalities in our product. You'll work as part of a small but rapidly growing high-energy team delivering incredible, creative improvements to our product. You'll be in charge of reviewing the implementation of applications following code standards and style guides.

• Spec, build, test, and deliver new features while improving the performance and quality of the product.
• Run test-harness to guarantee the structure, integrity, and design of the application.
• Solve complex CSS, HTML, and User Interface compatibility issues across browsers.
• Optimize JavaScript implementations to ensure that code remains performant.
• Implement front-end development workflows: build systems, dependency management, quality checkers (linting), etc.
• Push things over the line, ship awesome features, and delight customers.

• 4+ years of hands-on experience building web applications with Nodejs, React.
• Comfortable with Responsive Web Design and Development and weave out beautiful code in React.
• Strong product and design sensibilities and has an obsessive attention to detail.
• Write testable, maintainable code that's easy to understand.
• Understand complex problems and break them down into smaller tasks.
• Strong sense of ownership and integrity demonstrated through clear communication and collaboration.

·        Qualification: bachelor’s or master’s degree in computer science, Engineering, or related field.

·        Proven 4+ years of experience in full stack development, including proficiency with React, Tailwind CSS, Python, and Flask.

·        Strong understanding of Graph QL concepts and hands-on experience with Ariadne or similar frameworks.

·        Familiarity with containerization using Docker for application deployment.

·        Demonstrated expertise in machine learning model integration, preferably using the Hugging Face framework.

·        Experience deploying machine learning models on cloud platforms such as Replicate and AWS is a strong plus.

·        Excellent problem-solving skills and a proactive attitude towards learning and adapting to new technologies.

·        Should have experience in Backend: Python, Flask Framework, Langchain ML Ops Framework, Ariadne Graph QL Framework, Docker. Frontend: React, Tailwind. ML Model Development – Hugging Face Model Training, ML Deployment onto Replicate or AWS

Responsibilities

· Design, maintain and supply content for the organization's website

· Formulate strategies to build lasting digital connections with customers

· Monitor company presence on social media

· Launch advertisements to increase brand awareness
· Monitor website SEO performance

Introduction

http://www.synapsica.com/">Synapsica is a https://yourstory.com/2021/06/funding-alert-synapsica-healthcare-ivycap-ventures-endiya-partners/">series-A funded HealthTech startup founded by alumni from IIT Kharagpur, AIIMS New Delhi, and IIM Ahmedabad. We believe healthcare needs to be transparent and objective while being affordable. Every patient has the right to know exactly what is happening in their bodies and they don't have to rely on cryptic 2 liners given to them as a diagnosis. 

Towards this aim, we are building an artificial intelligence enabled cloud based platform to analyse medical images and create v2.0 of advanced radiology reporting.  We are backed by IvyCap, Endia Partners, YCombinator and other investors from India, US, and Japan. We are proud to have GE and The Spinal Kinetics as our partners. Here’s a small sample of what we’re building: https://www.youtube.com/watch?v=FR6a94Tqqls">https://www.youtube.com/watch?v=FR6a94Tqqls 

Your Roles and Responsibilities

We are looking for an experienced MLOps Engineer to join our engineering team and help us create dynamic software applications for our clients. In this role, you will be a key member of a team in decision making, implementations, development and advancement of ML operations of the core AI platform.

• Work closely with a cross functional team to serve business goals and objectives.
• Develop, Implement and Manage MLOps in cloud infrastructure for data preparation,deployment, monitoring and retraining models
• Design and build application containerisation and orchestrate with Docker and Kubernetes in AWS platform. 
• Build and maintain code, tools, packages in cloud

• At Least 2+ years of experience in Data engineering 
• At Least 3+ yr experience in Python with familiarity in popular ML libraries.
• At Least 2+ years experience in model serving and pipelines
• Working knowledge of containers like kubernetes , dockers, in AWS
• Design distributed systems deployment at scale
• Hands-on experience in coding and scripting
• Ability to write effective scalable and modular code.
• Familiarity with Git workflows, CI CD and NoSQL Mongodb
• Familiarity with Airflow, DVC and MLflow is a plus

Qualification

•     Total Experience level of 2 to 4 years of software development
•     Strong problem-solving skills, data structures, and algorithms
•     Experience with distributed systems handling a large amount of data
•     Excellent coding skills in any one/more among Ruby/ROR.
•     Good understanding of Web Technologies (RestFul APIs, Authentication)
•     Good understanding of Database Systems
•     Experience in working on Data Science problems is a plus
•     B.Tech/BE/M. Tech in Computer Science or equivalent

Responsibilities

We believe in a setup where our engineers get to experience most components of our platform though they might be experts in one/few areas. Here are some areas where based on your choice & experience you would be working on:

Enhancing various components of our AI platform (e.g Context engine, Feed Integration pipeline, Configuration Manager etc)

Managing bot development/on-boarding for existing/new clients which includes building Bot UI flows, integration of client APIs etc

Exploring new capabilities and integrating external systems (e.g Google Vision APIs, Greatschool.org APIs etc) into bot platforms based on use cases

Building/enhancing customer/employee facing Admin Site for reporting, setup, customer onboarding, configurations, AI training, Monitoring and alerting etc

Building/managing RESTful APIs for various features within the core bot platform

Exploring/integrating/enhancing with various third-party messaging systems (e.g FB Messenger, Twitter, Viber, Alexa, Zendesk, Salesforce etc) as these platforms evolve in capabilities

Building/managing AWS clusters for clients

Automating test cases, build process.

About Insyncai

Insyncai is the leading Customer Experience automation platform for enterprises who need to up-level the entire customer journey. eCommerce penetration has increased more in the last year than it has over the last decade, therefore brands are looking to move beyond legacy systems. Insyncai provides a solution that provides a world-class customer experience for any team. Insyncai’s platform does not require any work from their partners, builds a custom, AI solution in under 4 weeks, and has been shown to automate up to 75% of a customer's journey including support, product discovery, product education and purchase. Having grown 300% YoY, we work with large Fortune 500 brands like Verizon Media, Stamps.com, and more.

Please visit:

•  The Analyst will work with our Quant Research team and will assist in projects to improve stock selection, portfolio construction or implementation.
•  Main goals for the candidate would be around developing smart beta index portfolios.
•  Research on topics specific to quant trading, including AI/ML, statistical arbitrage, momentum, mean-reversion, factor investing and applications of statistics and econometrics models.