sales executive

Key deliverables for the Data Science Engineer would be to help us discover the information hidden in vast amounts of data, and help us make smarter decisions to deliver even better products. Your primary focus will be on applying data mining techniques, doing statistical analysis, and building high-quality prediction systems integrated with our products.

What will you do?

• You will be building and deploying ML models to solve specific business problems related to NLP, computer vision, and fraud detection.
• You will be constantly assessing and improving the model using techniques like Transfer learning
• You will identify valuable data sources and automate collection processes along with undertaking pre-processing of structured and unstructured data
• You will own the complete ML pipeline - data gathering/labeling, cleaning, storage, modeling, training/testing, and deployment.
• Assessing the effectiveness and accuracy of new data sources and data gathering techniques.
• Building predictive models and machine-learning algorithms to apply to data sets.
• Coordinate with different functional teams to implement models and monitor outcomes.
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• Presenting information using data visualization techniques and proposing solutions and strategies to business challenges

We would love to hear from you if :

• You have 2+ years of experience as a software engineer at a SaaS or technology company
• Demonstrable hands-on programming experience with Python/R Data Science Stack
• Ability to design and implement workflows of Linear and Logistic Regression, Ensemble Models (Random Forest, Boosting) using R/Python
• Familiarity with Big Data Platforms (Databricks, Hadoop, Hive), AWS Services (AWS, Sagemaker, IAM, S3, Lambda Functions, Redshift, Elasticsearch)
• Experience in Probability and Statistics, ability to use ideas of Data Distributions, Hypothesis Testing and other Statistical Tests.
• Demonstrable competency in Data Visualisation using the Python/R Data Science Stack.
• Preferable Experience Experienced in web crawling and data scraping
• Strong experience in NLP. Worked on libraries such as NLTK, Spacy, Pattern, Gensim etc.
• Experience with text mining, pattern matching and fuzzy matching

• Brand new Macbook
• Stock Options
• Health Insurance
• Unlimited Sick Leaves
• Passion Fund (Invest in yourself or your passion project)
• Wind Down

ABOUT EPISOURCE:

Episource has devoted more than a decade in building solutions for risk adjustment to measure healthcare outcomes. As one of the leading companies in healthcare, we have helped numerous clients optimize their medical records, data, analytics to enable better documentation of care for patients with chronic diseases.

The backbone of our consistent success has been our obsession with data and technology. At Episource, all of our strategic initiatives start with the question - how can data be “deployed”? Our analytics platforms and datalakes ingest huge quantities of data daily, to help our clients deliver services. We have also built our own machine learning and NLP platform to infuse added productivity and efficiency into our workflow. Combined, these build a foundation of tools and practices used by quantitative staff across the company.

What’s our poison you ask? We work with most of the popular frameworks and technologies like Spark, Airflow, Ansible, Terraform, Docker, ELK. For machine learning and NLP, we are big fans of keras, spacy, scikit-learn, pandas and numpy. AWS and serverless platforms help us stitch these together to stay ahead of the curve.

ABOUT THE ROLE:

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, improving patient health, clinical suspecting and information extraction from clinical notes.

This is a role for highly technical 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 data-driven architectures 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.

During the course of a typical day with our team, expect to work on one or more projects around the following;

1. Create and maintain optimal data pipeline architectures for ML

2. Develop a strong API ecosystem for ML pipelines

3. Building CI/CD pipelines for ML deployments using Github Actions, Travis, Terraform and Ansible

4. Responsible to design and develop distributed, high volume, high-velocity multi-threaded event processing systems

5. Knowledge of software engineering best practices across the development lifecycle, coding standards, code reviews, source management, build processes, testing, and operations  

6. Deploying data pipelines in production using Infrastructure-as-a-Code platforms

7. Designing scalable implementations of the models developed by our Data Science teams  

8. Big data and distributed ML with PySpark on AWS EMR, and more!

BASIC REQUIREMENTS 

1.  Bachelor’s degree or greater in Computer Science, IT or related fields
   
   

2.  Minimum of 5 years of experience in cloud, DevOps, MLOps & data projects
   
   

3. Strong experience with bash scripting, unix environments and building scalable/distributed systems
   
   

4. Experience with automation/configuration management using Ansible, Terraform, or equivalent
   
   

5. Very strong experience with AWS and Python
   
   

6. Experience building CI/CD systems
   
   

7. Experience with containerization technologies like Docker, Kubernetes, ECS, EKS or equivalent

8. Ability to build and manage application and performance monitoring processes

Must-Have:

• Web development frameworks and tools, such as AngularJS, and React JS • Knows frameworks and programming languages such as .NET, C#, JavaScript, and NodeJS. • Must have an idea about hybrid cloud platforms like Azure or AWS • Knowledge about build Tools like Webpack and Grunt • Should know basic design principles and coding practices, such as linters and types • Secure coding practices and protocols such as the Open Web Application Security Project (OWASP) • Basic knowledge of CMS tools and their workings, CMS like Sitecore • Having experience in API and service-based architectures using REST APIs, microservices, and utilizing JSON for web or mobile applications

Good to Have:

• Testing frameworks and tools like Jest, Codecept, Tosca, Jenkins • SQL, PL/SQL, and NoSQL database management. • Knowledge of various web tools and software like Miro, Figma, Visual Studio, VS Code, PyCharm, Jira, Confluence, and DevOps portals • Could have knowledge of payment gateways and their implementations on e-commerce management tools like Hybris • Having knowledge of product life cycle management

Fundflo Technology is looking for a full stack engineer who is passionate about learning new technologies. In this role, you will be responsible for developing product features using the latest web and mobile technologies in a cloud ecosystem.

What will you be doing?

1. Design, code and test product features in an agile-scrum environment.
2. Work closely with the team to understand the needs, context and develop solutions for the same.
3. Volunteer for items in the backlog and deliver to the highest standards.
4. Follow the engineering standards and practices
5. Research and experiment to solve complex problems.
6. Work in a democratic environment where decisions are driven by logic
7. Understand the functional complexity and provide the best experience to the users.
8. Contribute to Fundflo’s roadmap and help build a one-of-a-kind Account Receivable management platform

What skills do you need?

1. Engineer preferably in Computer Science
2. Good understanding of Data Structure and algorithm.
3. Proficiency in one or more of the following technologies: NodeJS, Java, frontend frameworks like React, Angular
4. Good understanding of Relational Database(i.e MySql, PostgreSQL etc) 

Remote working with access to co-working space as required.

• Meeting with the development team to discuss user interface ideas and applications.
• Reviewing application requirements and interface designs.
• Identifying web-based user interactions.
• Developing and implementing highly-responsive user interface components using React concepts.
• Writing application interface codes using JavaScript following React.js workflows.
• Troubleshooting interface software and debugging application codes.
• Developing and implementing front-end architecture to support user interface concepts.
• Monitoring and improving front-end performance.
• Documenting application changes and developing updates.

• Bachelor’s degree in Computer Science, Information Technology, or a similar field.
• Previous experience working as a React.js Developer.
• 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.
• Excellent troubleshooting skills.
• Good project management skills.

Desired Candidate Profile

We are hiring for the position "Intern-Inside Sales" in our organization. We need someone who is young and enthusiastic, creative and think out of box, ready to work in start-up culture and should have passion to build efficiency into the system.

The "Inside Sales Intern" would be part of the B2C function and work as a Sales Support Executive. He/she would drive the new customer acquisition, customer relationship, management, operations & reporting. He/she is responsible for generating new prospects by interacting with existing and prospective customers to garner their interest and convert them into qualified leads.

Key Responsibility Areas:

• Sourcing new sales opportunities through inbound lead follow-up and outbound cold calls and emails.
• Contact the consumers from the given database and promote the product.
• Understand the customer requirement thoroughly and pitch LearnCab product/service accordingly.
• Meet the daily/weekly/monthly and quarterly targets.

Requirement:

• Degree/Master Degree holders in any discipline with good fluency in English.
• Responsible for making Service Calls, Sales Calls (Cold Calling), Lead Generation Activity, etc.
• This internship program is for a period of 3 months.
• If we find the intern is passionate and good during his/her engagement with us in 3 months, they will be absorbed for Inside Sales team as permanent on-roll employee.
• The intern’s overall performance would be gauged over 3 months engagement with us and if we find he/she is moderate/acceptable but not satisfactory, may continue their internship for further 3 months with mutual agreement.
• The intern not meeting the organisational demands would not be absorbed on full-time roll, however will be provided an experience certificate on completion of internship for the respective engaged months with us.
• The engaged intern would be provided stipend and internship certificate at the end of the successful internship program completion with us.
• The intern must use their personal Laptop and Phone for the work (SIM Card would be provided).
• Willing to explore the E-learning space/ EdTech industry.
• Excellent verbal and written communications skills.
• Strong listening and presentation skills.
• Demonstrate ability to learn & adapt.
• Willing to join us on immediate basis.

Stipend: Paid Internship

Work timings: Standard Corporate Working hours

Job Location:

Nagarbhavi, Bengaluru (Currently WFH)