Salesforce Senior Developers

Requirements:

• 2-3 years of experience in retail onboarding for SCF/ Fintechs/QR/Business loan etc

The JD is as below:

• Onboarding customers, collecting all the required documents, executing agreements etc
• Collecting repayments and educating customers on credit benefits and timely repayment benefits
• Building and maintaining relationships with clients and sellers' ground team
• Meeting and exceeding sales targets
• Staying up-to-date on company policies and competitor activities
• Collaborating with internal teams and anchor teams to ensure the successful product placement
• Providing excellent customer service to customers/borrowers

Do let me know if any other details are required.

Role and Responsibilities

 Manage our social media handles Instagram (137K followers), YouTube (8K subscribers). 

 Execute ideas by creating a content calendar. 

 Generate ideas for our paid/organic ad campaigns and write the copies.

 Handle operations while creating content. 

 Write copies for our App messages and notifications.

Education and experience:

Any graduation degree

1-3 years in digital marketing 

Skills:

1. Strong willingness to learn new things

2. Ability to generate new ideas, think outside the box, and approach problems

in unconventional ways

3. Ability to stay motivated, go-getter attitude

4. Teamwork and collaboration

Responsibilities:

• Design and develop user-friendly, robust, and scalable Flutter/Android/iOS applications.
• Collaborate with product managers, designers, and backend developers to understand requirements and translate them into functional applications.
• Implement clean and efficient code following best practices, coding standards, and design patterns specific to mobile development.
• Ensure high performance, responsiveness, and stability of the applications by conducting thorough testing and debugging.
• Integrate RESTful APIs to fetch and send data from/to the backend servers.
• Work with SQLite or other database technologies to implement data persistence in mobile applications.
• Implement effective UI/UX designs following Material Design guidelines to ensure a smooth and intuitive user experience.
• Collaborate with the team to identify and implement solutions to improve application performance, maintainability, and user engagement.
• Stay up-to-date with the latest trends, technologies, and best practices in mobile development and share knowledge with the team.
• Assist in troubleshooting and resolving issues reported by users or clients, providing timely and effective solutions.

We’re looking to hire someone to help scale Machine Learning and NLP efforts at Episource. You’ll work with the team that develops the models powering Episource’s product focused on NLP driven medical coding. Some of the problems include improving our ICD code recommendations , clinical named entity recognition and information extraction from clinical notes.

This is a role for highly technical machine learning & data engineers who combine outstanding oral and written communication skills, and the ability to code up prototypes and productionalize using a large range of tools, algorithms, and languages. Most importantly they need to have the ability to autonomously plan and organize their work assignments based on high-level team goals.

You will be responsible for setting an agenda to develop and ship machine learning models that positively impact the business, working with partners across the company including operations and engineering. You will use research results to shape strategy for the company, and help build a foundation of tools and practices used by quantitative staff across the company.

What you will achieve:

• Define the research vision for data science, and oversee planning, staffing, and prioritization to make sure the team is advancing that roadmap

• Invest in your team’s skills, tools, and processes to improve their velocity, including working with engineering counterparts to shape the roadmap for machine learning needs

• Hire, retain, and develop talented and diverse staff through ownership of our data science hiring processes, brand, and functional leadership of data scientists

• Evangelise machine learning and AI internally and externally, including attending conferences and being a thought leader in the space

• Partner with the executive team and other business leaders to deliver cross-functional research work and models

Required Skills:

• Strong background in classical machine learning and machine learning deployments is a must and preferably with 4-8 years of experience

• Knowledge of deep learning & NLP

• Hands-on experience in TensorFlow/PyTorch, Scikit-Learn, Python, Apache Spark & Big Data platforms to manipulate large-scale structured and unstructured datasets.

• Experience with GPU computing is a plus.

• Professional experience as a data science leader, setting the vision for how to most effectively use data in your organization. This could be through technical leadership with ownership over a research agenda, or developing a team as a personnel manager in a new area at a larger company.

• Expert-level experience with a wide range of quantitative methods that can be applied to business problems.

• Evidence you’ve successfully been able to scope, deliver and sell your own research in a way that shifts the agenda of a large organization.

• Excellent written and verbal communication skills on quantitative topics for a variety of audiences: product managers, designers, engineers, and business leaders.

• Fluent in data fundamentals: SQL, data manipulation using a procedural language, statistics, experimentation, and modeling

Qualifications

• Professional experience as a data science leader, setting the vision for how to most effectively use data in your organization

• Expert-level experience with machine learning that can be applied to business problems

• Evidence you’ve successfully been able to scope, deliver and sell your own work in a way that shifts the agenda of a large organization

• Fluent in data fundamentals: SQL, data manipulation using a procedural language, statistics, experimentation, and modeling

• Degree in a field that has very applicable use of data science / statistics techniques (e.g. statistics, applied math, computer science, OR a science field with direct statistics application)

• 5+ years of industry experience in data science and machine learning, preferably at a software product company

• 3+ years of experience managing data science teams, incl. managing/grooming managers beneath you

• 3+ years of experience partnering with executive staff on data topics

• 6+ years of experience in software design, development and deployment 
• Must have extensive experience in architecture, design and development on .NET framework, C#, WPF
•  Must have experience of relational database such as My SQL and MS SQL Server
• Must have experience in Web Services, SOAP, TCP
• Must have excellent experience in debugging, Problem Solving and root cause analysis 
• Must have experience on writing Nunit test cases
•  Exposure to new tech stacks: AI, ML, BigData, Cloud, Broker Engine, Rule Engine, Report Builder
•  Strong exposure to Mean Stacks (Mongo, Express, Angular, Node and React for simple and scalable full stack applications)
• Should have good experience of creating designs & design patterns.
• Lead and Mentor the team technically