
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

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Role Summary
We are hiring a software engineer to build and maintain automation workflows where documents (PDFs, files) trigger backend actions across systems.
This is a hands-on engineering role focused on workflow automation, document/PDF processing, and API integrations.
This is not a research role and not a chatbot-only role.
Responsibilities
- Build automation workflows using Python
- Process PDFs and documents to extract structured data
- Integrate OCR tools for scanned documents when required
- Develop API integrations with internal and third-party systems
- Handle webhooks and background jobs
- Add logging, error handling, and retry logic for production workflows
Required Skills
- 2–3 years of experience with Python
- Experience with workflow automation or backend services
- Hands-on document processing or PDF parsing experience
- Strong understanding of API integration
- Experience handling webhooks or async/background tasks
- Working knowledge of Git
- OCR integration experience
- Exposure to OpenAI or LLM APIs
- Experience with automation tools such as n8n, Zapier, or Make
- Basic AWS exposure (Lambda, S3)
- FIELD JOBS
- COMMUNICATION SKILL
- PRODUCT KNOWLEDGE
- FIELD JOBS
- COMMUNICATION SKILL
- PRODUCT KNOWLEDGE
- FIELD JOBS
- COMMUNICATION SKILL
- PRODUCT KNOWLEDGE
- FIELD JOBS
- COMMUNICATION SKILL
- PRODUCT KNOWLEDGE
About the Role
We are seeking an experienced and customer-focused Product Manager to join our team. In this role, you will be responsible for defining and executing the product vision, strategy, and roadmap. You will collaborate closely with cross-functional teams, including engineering, design, marketing, and sales, to deliver innovative solutions that solve customer pain points and align with our business objectives.
Key Responsibilities
Product Strategy and Vision
- Define and communicate a clear product vision and strategy.
- Align product goals with business objectives and customer needs.
- Conduct market research to identify trends, opportunities, and competitive positioning.
Roadmap and Prioritization
- Develop and maintain a product roadmap that balances short-term deliverables with long-term goals.
- Use prioritization frameworks (e.g., RICE, MoSCoW) to evaluate and prioritize product features.
Customer-Centric Development
- Gather and analyze user feedback through interviews, surveys, and data analytics.
- Advocate for the customer by translating their needs into actionable requirements.
Cross-Functional Collaboration
- Work with engineering teams to define and deliver high-quality, scalable products.
- Partner with designers to create user-friendly interfaces and experiences.
- Collaborate with marketing and sales teams to ensure successful product launches and adoption.
Data-Driven Decision Making
- Define and track key performance indicators (KPIs) to measure product success.
- Leverage analytics tools (e.g., Mixpanel, Google Analytics) to identify trends and optimize performance.
Agile Product Development
- Manage the product backlog and sprint planning in Agile or Scrum environments.
- Drive continuous improvement through iterative product releases.
Qualifications
Must-Have:
- 3–5 years of experience in product management or a related field.
- Proven ability to define and execute product strategies that achieve business goals.
- Strong communication and stakeholder management skills.
- Experience working with Agile development teams.
- Proficiency with product management tools (e.g., Jira, Trello, Asana) and analytics platforms (e.g., Mixpanel, Google Analytics).
Nice-to-Have:
- Familiarity with technical concepts (e.g., APIs, databases, or system architecture).
- Experience in [SaaS, B2B, Recruitment].
- Basic understanding of UX design principles and tools (e.g., Figma, Miro).
- Exposure to A/B testing and data-driven optimization techniques.
We are seeking a dynamic and experienced Business Solutions Manager to lead our customers across
the globe in the telecom industry. The ideal candidate will play a key role in driving business growth by
providing strategic solutions to clients, overseeing technical pre-sales activities, and ensuring effective
collaboration between sales and technical teams.
Major Areas of Responsibilities
• Determines customers’ products needs and desires by market research. Well versed
with defining Product Definition Documents
• Recommends the nature and scope of present and future product lines by reviewing
product specifications and requirements; appraising new product ideas and/or product
• Assesses market competition by comparing the company’s product to competitors’
products
• Provides source data for product line communications by defining product marketing
communication objectives
• To increase market share, work closely with sales team to develop product sales
strategies.
• Provides information to management by preparing short-term and long-term product
sales forecasts and special reports and analyses; answering questions and requests
• Help sales to close deal by providing solution based on company’s product offering
• Brings new products to market by analyzing proposed product requirements and
product development programs; preparing return-on-investment analyses; establishing
time schedules with Technology team
• Determines product pricing by utilizing market research data; reviewing production and
sales costs; anticipating volume; costing special and customized orders
• Maintain and Upgrade professional and technical knowledge
• Contributes to team effort by accomplishing related results as needed.
• Some technical knowledge is preferable in the Mobile domain.
Qualification:
Bachelor’s Degree or Higher
In-depth understanding of telecommunications products, services, and solutions.
Familiarity with network architecture, mobile technologies, and emerging telecom
trends.
Certifications
Proven track record in pre-sales activities, including solution design, proposal
development, and client presentations.
Ability to translate technical features into business benefits for clients.
Experience in leading and managing a pre-sales team.
Strong leadership and team collaboration skills.
5+ years of experience in RFP management.
Knowledge & Skills required:
Technical Aptitude
Communications & Interpersonal Skills
Sales Acumen
Presentation Skills
Analytical and Problem-Solving Skills
Team Collaboration
Negotiation and Contract Management
Innovation & Strategic Thinking
Product Knowledge
Market Awareness
Understanding of Business Process
Tech-Savviness - Eg - CRM's, Tools
Roles and Responsibilities:
- Possess complete understanding of individual project or modules within a larger project.
- Guide the software engineers in good programming discipline.
- Multi-task/work on several projects effectively and deliver within timeline.
- Exhibit excellent coding skills, adhering to standards, with minimal defects.
- Integrate software components into a fully functional software system.
- Understand low level designs and adhere to architecture decisions.
- Understand high level designs and participate in architectural discussions.
- Work independently and contribute to the overall delivery.
- Ability to interface 1-1 with the customer. Articulate the work done.
- Implement technical solutions that are proposed by Leads or Tech Specialist to solve real time business problem.
- Exposure to Full stack development or frameworks depending on technology stack.
- Exhibit strong full stack or appropriate framework and platform knowledge and propose solutions to customers.
- Participate and contribute to technical discussions / architecture proposals.
- Work on POCs and ability to present technical solutions.
- Come up with alternative solutions to effectively solve customer problems.
- Certified developers either internally or externally in their area of expertise.
- Takes interest in mentoring juniors and software engineers.
Skills required:
Apex, Visualforce, Lightning Aura, Objects & Fields Set up, Process builder, Workflow rules, Validation rules, Formula Fields, LWC, Flows and Basic Integration experience, HTML, CSS, Javascript, Deployment using Change Set, Using tools like VS code, developer Console, Workbench and Dataloader
Nice to have:
Advanced and complex Integrations, Apex Design patterns
Certifications:
Good to have: PD1 (Platform Developer 1), PD2 (Platform Developer 2) and App Builder
Minimum Qualifications:
1. Bachelor's degree in Commerce (B.Com) or equivalent.
Preferred Skillsets:
1. Proficiency in advanced Excel functions, such as pivot tables, VLOOKUP, and macros.
2. Hands-on experience with Excel.
3. Strong interpersonal skills to effectively collaborate with Customers and team members.
4. Logical reasoning and problem-solving capability to identify and resolve discrepancies.
5. Attention to detail and accuracy in data analysis.
6. Ability to work both independently and collaboratively within a team.
7. Excellent verbal and written communication skills.
8. Time management and organizational skills.
9. Basic knowledge of accounting principles.
Responsibilities:
1. Perform regular reconciliation of customer accounts to verify the accuracy of financial transactions.
2. Analyze financial data identify discrepancies or anomalies, and investigate the root causes.
3. Prepare and maintain detailed reports and documentation of reconciliation activities.
4. Monitor and report on key performance indicators related to account reconciliation.
- Experience using AWS (that’s just common sense)
- Experience designing and building web environments on AWS, which includes working with services like EC2, ELB, RDS, and S3
- Experience building and maintaining cloud-native applications
- A solid background in Linux/Unix and Windows server system administration
- Experience using https://www.simplilearn.com/tutorials/devops-tutorial/devops-tools" target="_blank">DevOps tools in a cloud environment, such as Ansible, Artifactory, https://www.simplilearn.com/tutorials/docker-tutorial/what-is-docker-container" target="_blank">Docker, GitHub, https://www.simplilearn.com/tutorials/jenkins-tutorial/what-is-jenkins" target="_blank">Jenkins, https://www.simplilearn.com/tutorials/kubernetes-tutorial/what-is-kubernetes" target="_blank">Kubernetes, Maven, and Sonar Qube
- Experience installing and configuring different application servers such as JBoss, Tomcat, and WebLogic
- Experience using monitoring solutions like CloudWatch, ELK Stack, and Prometheus
- An understanding of writing Infrastructure-as-Code (IaC), using tools like CloudFormation or Terraform
- Knowledge of one or more of the most-used programming languages available for today’s cloud computing (i.e., SQL data, XML data, R math, Clojure math, Haskell functional, Erlang functional, Python procedural, and Go procedural languages)
- Experience in troubleshooting distributed systems
- Proficiency in script development and scripting languages
- The ability to be a team player
- The ability and skill to train other people in procedural and technical topics
- Strong communication and collaboration skills
As a special aside, an AWS engineer who works in DevOps should also have experience with:
- The theory, concepts, and real-world application of Continuous Delivery (CD), which requires familiarity with tools like AWS CodeBuild, AWS CodeDeploy, and AWS CodePipeline
- An understanding of automation
About Vymo
Vymo is a Sanfrancisco-based next-generation Sales productivity SaaS company with offices in 7 locations. Vymo is funded by top tier VC firms like Emergence Capital and Sequoia Capital. Vymo is a category creator, an intelligent Personal Sales Assistant who captures sales activities automatically, learns from top performers, and predicts ‘next best actions’ contextually. Vymo has 100,000 users in 60+ large enterprises such as AXA, Allianz, Generali.Vymo has seen 3x annual growth over the last few years and aspires to do even better this year by building up the team globally.
What is the Personal Sales Assistant
A game-changer! We thrive in the CRM space where every company is struggling to deliver meaningful engagement to their Sales teams and IT systems. Vymo was engineered with a mobile-first philosophy. The platform through AI/ML detects, predicts, and learns how to make Sales Representatives more productive through nudges and suggestions on a mobile device. Explore Vymo https://getvymo.com/">https://getvymo.com/
What you will do at Vymo
From young open source enthusiasts to experienced Googlers, this team develops products like Lead Management System, Intelligent Allocations & Route mapping, Intelligent Interventions, that help improve the effectiveness of the sales teams manifold. These products power the "Personal Assistant" app that automates the sales force activities, leveraging our cutting edge location based technology and intelligent routing algorithms.
A Day in your Life
- Design, develop and maintain robust data platforms on top of Kafka, Spark, ES etc.
- Provide leadership to a group of engineers in an innovative and fast-paced environment.
- Manage and drive complex technical projects from the planning stage through execution.
What you would have done
- B.E (or equivalent) in Computer Sciences
- 6-9 years of experience building enterprise class products/platforms.
- Knowledge of Big data systems and/or Data pipeline building experience is preferred.
- 2-3 years of relevant work experience as technical lead or technical management experience.
- Excellent coding skills in one of Core Java or NodeJS
- Demonstrated problem solving skills in previous roles.
- Good communication skills.









