



empower healthcare payers, providers and members to quickly process medical data to
make informed decisions and reduce health care costs. You will be focusing on research,
development, strategy, operations, people management, and being a thought leader for
team members based out of India. You should have professional healthcare experience
using both structured and unstructured data to build applications. These applications
include but are not limited to machine learning, artificial intelligence, optical character
recognition, natural language processing, and integrating processes into the overall AI
pipeline to mine healthcare and medical information with high recall and other relevant
metrics. The results will be used dually for real-time operational processes with both
automated and human-based decision making as well as contribute to reducing
healthcare administrative costs. We work with all major cloud and big data vendors
offerings including (Azure, AWS, Google, IBM, etc.) to achieve our goals in healthcare and
support
The Director, Data Science will have the opportunity to build a team, shape team culture
and operating norms as a result of the fast-paced nature of a new, high-growth
organization.
• Strong communication and presentation skills to convey progress to a diverse group of stakeholders
• Strong expertise in data science, data engineering, software engineering, cloud vendors, big data technologies, real-time streaming applications, DevOps and product delivery
• Experience building stakeholder trust and confidence in deployed models especially via application of the algorithmic bias, interpretable machine learning,
data integrity, data quality, reproducible research and reliable engineering 24x7x365 product availability, scalability
• Expertise in healthcare privacy, federated learning, continuous integration and deployment, DevOps support
• Provide mentoring to data scientists and machine learning engineers as well as career development
• Meet project related team members for individual specific needs on a regular basis related to project/product deliverables
• Provide training and guidance for team members when required
• Provide performance feedback when required by leadership
The Experience You’ll Need (Required):
• MS/M.Tech degree or PhD in Computer Science, Mathematics, Physics or related STEM fields
• Significant healthcare data experience including but not limited to usage of claims data
• Delivered multiple data science and machine learning projects over 8+ years with values exceeding $10 Million or more and has worked on platform members exceeding 10 million lives
• 9+ years of industry experience in data science, machine learning, and artificial intelligence
• Strong expertise in data science, data engineering, software engineering, cloud vendors, big data technologies, real time streaming applications, DevOps, and product delivery
• Knows how to solve and launch real artificial intelligence and data science related problems and products along with managing and coordinating the
business process change, IT / cloud operations, meeting production level code standards
• Ownerships of key workflows part of data science life cycle like data acquisition, data quality, and results
• Experience building stakeholder trust and confidence in deployed models especially via application of algorithmic bias, interpretable machine learning,
data integrity, data quality, reproducible research, and reliable engineering 24x7x365 product availability, scalability
• Expertise in healthcare privacy, federated learning, continuous integration and deployment, DevOps support
• 3+ Years of experience managing directly five (5) or more senior level data scientists, machine learning engineers with advanced degrees and directly
made staff decisions
• Very strong understanding of mathematical concepts including but not limited to linear algebra, advanced calculus, partial differential equations, and
statistics including Bayesian approaches at master’s degree level and above
• 6+ years of programming experience in C++ or Java or Scala and data science programming languages like Python and R including strong understanding of
concepts like data structures, algorithms, compression techniques, high performance computing, distributed computing, and various computer architecture
• Very strong understanding and experience with traditional data science approaches like sampling techniques, feature engineering, classification, and
regressions, SVM, trees, model evaluations with several projects over 3+ years
• Very strong understanding and experience in Natural Language Processing,
reasoning, and understanding, information retrieval, text mining, search, with
3+ years of hands on experience
• Experience with developing and deploying several products in production with
experience in two or more of the following languages (Python, C++, Java, Scala)
• Strong Unix/Linux background and experience with at least one of the
following cloud vendors like AWS, Azure, and Google
• Three plus (3+) years hands on experience with MapR \ Cloudera \ Databricks
Big Data platform with Spark, Hive, Kafka etc.
• Three plus (3+) years of experience with high-performance computing like
Dask, CUDA distributed GPU, TPU etc.
• Presented at major conferences and/or published materials

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About Lo! Foods
India is the Diabetes capital of the world, with 75 Million currently and headed to 100 Million+ within 3-5 years. In addition, between 70-100 Million people are pre-diabetic. This is consequently one of the biggest health problems faced by India, that needs to be addressed at a War footing.
Lo! Foods, started in 2019, has been a pioneer in cutting down Carbohydrates from Food. They started with a range of Ultra Low Carbohydrate products, that is used by those on a Ketogenic diet or those with Severe Diabetes issues and Type 1 Diabetes.
Building on their expertise in Cutting down Carbs; while retaining nutrition, flavor and texture; Lo! Foods has also launched a specialist range of daily food products specially formulated for Diabetics.
Job Role
We are looking for a Medical Sales Representative to promote and sell our diabetic range products. Customers can include doctors, pharmacists, and direct consumers. The medical representative will increase product awareness, answer queries, provide advice and introduce new products.
Key responsibilities include:
- Organizing appointments and meetings with community- and hospital-based healthcare staff
- Identifying and establishing new business
- Negotiating contracts
- Demonstrating or presenting products to healthcare staff including doctors, nurses and pharmacists
- Undertaking relevant research
- Meeting both the business and scientific needs of healthcare professionals
- Maintaining detailed records
- Attending and organising trade exhibitions, conferences and meetings
- Managing budgets
- Reviewing sales performance
- Writing reports and other documents.
Key Skills
- Experience of 5 to 8 years in a medical representative field.
- Should have Commercial awareness. It is good to have experience of handling diabetic products earlier
- Required good Presentation and Research skills
- Should have the ability to negotiate and collaborate contracts and business deals
- Strong interpersonal and communication skills
- Organisational skills.

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
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Bachelor’s degree or greater in Computer Science, IT or related fields
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Minimum of 5 years of experience in cloud, DevOps, MLOps & data projects
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Strong experience with bash scripting, unix environments and building scalable/distributed systems
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Experience with automation/configuration management using Ansible, Terraform, or equivalent
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Very strong experience with AWS and Python
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Experience building CI/CD systems
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Experience with containerization technologies like Docker, Kubernetes, ECS, EKS or equivalent
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Ability to build and manage application and performance monitoring processes
Create Graphic assets for EdTech Platform, Social Media, and Email Campaigns. |
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Qualifications
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Bachelor's degree in field.
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2 + years of experience in graphic design.
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Knowledge of layouts, graphic fundamentals, typography, print, and the web.
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Knowledge of Adobe PhotoShop, Illustrator, Sketch, InDesign, and other graphic design software.
• Team Lead (6-8 yrs of total experience), minimum 3 years of Team Lead exp. required
• Knowledge of full technology stack and experience of leading a team
• Proposing right data structures
• Deciding the right technology stack
• Process Flow Designing
• JIRA tool (Project management tool)
Job Description:
• Lead end-to-end IT needs of the division and build a strong full-stack delivery team
• Lead directly (hands-on) the building and running of best-in class platform for online learning
and application portal
• Incorporate key features including adaptive learning, analytics tracking capabilities,
streamlining application processes on the portal, machine learning for automatic university
recommendation system
• Ensure scalability, performance, resilience and device portability of the platform, including
adequate backups, disaster recovery, pen testing, network security etc. to avoid data
breaches, given the high volume of sensitive data
• Lead collaboration with the development teams, project management, IT service and support
teams and other to support their activities, respond to their needs and respond to incidents
Candidate profile:
Ideally, you’d also have experience with:
• Developing and maintaining products that are used by many thousands or millions of people
• Ruby, Rails, React, Node.js, JavaScript, or Python
• Kafka, Amazon MQ, RabbitMQ or similar streaming or messaging systems
• EdTech, eCommerce, or content-management software
• Relational databases, ORM frameworks, and their alternatives
• Microservices or SOA; RESTful APIs, JSON
• AWS, Docker, Kubernetes, ELK stack
• DevOps, Observability, Infrastructure as Code

and maintain applications used by teams across. You will learn and develop
applications based on cutting edge technologies and deploy them on client's
infrastructure. You need to identify newer technologies as needed
As a Senior Software Engineer, you will be responsible for:
Working with groups within the company to gather requirements and collaborate with
architects to build solutions.
Designing, developing and Unit testing to ensure successful system Integration of
applications.
Providing support for interface issues to update changes and provide fixes to bugs
Creating and documentation of test results to ensure accurate results are recorded
Assisting and supporting in platform upgrades and mentoring Junior engineers on
technology aspects to help upscale knowledge
Working with diverse programming languages as needed to ensure successful
running of a applications.
Have 4 years of relevant experience and education in Computer Science or
Engineering
Have experience in developing applications using Java, Spring, JavaScript and
databases
Display experience in working on front end technologies like bootstrap and ReactJS
Show proficiency in technical evaluation of products and design of applications
Be comfortable working with scripting languages such as Python or Perl
Be able to learn new technologies quickly
Have proficiency in using build tools in Linux commands and Shell
Demonstrate excellent communication and presentation skills and an ability to build
trusting relationships with customers

SDE- Mobile
Skills: Xamarin,C#, MVVM.MVp,Data Structures, Native App development
Experience: 5 -8 Yrs
Education: B.Tech/B.E(Mandatory)
Status: Open
Mobile Dev, 5+Years Xamarin, C#,NativeAndroid / iOS development using Xamarin, BLE communication




