Customer Relationship Manager

🚧 WE ARE HIRING – CONSTRUCTION COMPANY 🚧

Recruiter cum Document Controller (WFH)

🕒 Experience: Fresher – 1 Year

🏠 Work Mode: Work From Home

🏗 Industry: Construction / Engineering

👩 Female Candidates Preferred

✨ Key Responsibilities:

• Recruit engineers, supervisors, site staff & labor manpower

• Screen resumes & coordinate interviews with site/project teams

• Maintain recruitment trackers & manpower records

• Manage construction documents (drawings, reports, agreements, HR files)

• Ensure proper document control, versioning & digital storage

• Coordinate with HR, admin & project teams

✅ Requirements:

• Graduate / Diploma (any discipline)

• Basic knowledge of recruitment or construction hiring

• MS Excel, Word / Google Sheets knowledge

• Good communication & coordination skills

• Detail-oriented & able to work independently from home

📩 Interested candidates can DM(Immediate joiners preferred)

Responsibilities:

• Manage daily accounting operations including bookkeeping, journal entries, and ledgers.
• Handle accounts payable/receivable, vendor invoices, and expense records. Perform bank reconciliations, vendor reconciliations, and balance sheet reconciliations.
• Assist in preparing financial statements, MIS reports, and monthly closing.
• Ensure compliance with GST, TDS, and other statutory requirements.
• Support audits and coordinate with auditors for data and reports.
• Maintain proper documentation and records of financial transactions.
• Maintain proper documentation and records of financial transactions.
• Collaborate with internal teams to streamline accounting and financial processes.
• Provide accurate and timely financial information to management.

If interested kindly share your updated resume on 82008 31681

• Proficiency in Unity3D and C# programming language.
• Strong understanding of unity 3d and 2d principles and best practices.
• Familiarity with version control systems such as Git.
• Excellent problem-solving and communication skills.
• Ability to work effectively in a collaborative team environment.
• Familiarity with VR/XR/AR hardware and platforms, including Oculus, HTC Vive, HoloLens, and ARKit/ARCore.
• Excellent problem-solving skills and ability to adapt to evolving technologies and project requirements.

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

Job description

We are looking for a Node.js Developer responsible for managing the interchange of data between the server and the users. Your primary focus will be the development of all server-side logic, definition and maintenance of the central database, and ensuring high performance and responsiveness to requests from the front-end. You will also be responsible for integrating the front-end elements built by your co-workers into the application.

Responsibilities:

Have the passion and experience for building responsive, elegant and engaging experiences with future friendly web technologies

Integration of user-facing elements developed by front-end developers with server side logic

Writing reusable, testable, and efficient code with proper documentation

Design and implementation of low-latency, high-availability, and performance applications

Implementation of security and data protection

Integration of data storage solutions

Continually keep yourself and your design team updated with the latest changes in your industry’s standards

Requirements

1+ years Experience

Strong proficiency with JavaScript

Knowledge of Node.js, Express.js and other frameworks required to create a scalable and effective application

Understanding the nature of asynchronous programming and its quirks and workarounds

Good understanding of basics of SQL and/or NoSQL databases

Very strong understanding of working with at least one SQL or NoSQL database in node js(Without ORM preferably)

Understanding of commonly used node modules

Good understanding of server-side templating languages

Good understanding of server-side CSS pre-processors such as SASS, LESS, etc.

Basic understanding of front-end technologies, such as HTML5, and CSS3

Understanding accessibility and security compliance

User authentication and authorization between multiple systems, servers, and environments using OpenID, OAuth2.0, etc.

Creating secure and scalable APIs using standards like REST API, GraphQL, etc.

Integration of multiple data sources and databases into one system

Understanding fundamental design principles behind a scalable application

Understanding differences between multiple delivery platforms, such as mobile vs. desktop, and optimising output to match the specific platform

Creating database schemes that represent and support business processes

Implementing automated testing platforms and unit tests

Proficient understanding of code versioning tools, such as GIT Critical thinker and problem-solving skills Team player Good time-management skills Great interpersonal and communication skills.

Key Job Responsibilities:

• He/She is a responsive team player who can proactively contribute for building technical

strategies for applications and systems by promoting an understanding of the technology and business roadmap.

• He /she is someone who thrives in a fun, fast-paced, dynamic, startup-like environment.
• Work very closely with various business stakeholders to drive the execution of multiple

business plans and technologies.

• Work closely with Product, Design, and Marketing to conceive features, plan projects, and build roadmaps
• Prior experience with scalable Architecture managing team of minimum 5 engineers and

coaching, mentoring while maintaining a role with code development.

• Proven history of contributing to product strategy and shipping products with multi-functional teams.
• Highly involved in recruitment while building team also leading app development for both platforms.
• Promote and support company policies, procedures, mission, values, and standards of ethics and integrity.

Minimum Qualification:

• Total of 10+ years experience
• Hands-on working on Java ( {Language understanding - Java 8, Lambdas, Collections,

• Worked on REST frameworks/libraries like Spring MVC, Spring Boot, Dropwizard,  REST popular frameworks & libraries}, JVM, GC tuning, performance tuning) Express etc

• Experience in Microservices architecture is a must.
• Working on public clouds such as AWS, GCP, Azure etc is preferred
• Worked on Relational data stores viz. MySQL, Oracle, or Postgres.
• Worked on Non-relational data stores viz. Cassandra, HBase, Couchbase, MongoDB, etc
• Worked on caching infra viz. Redis, Memcached, Aerospike, Riak, etc
• Worked on Queueing infra viz. Kafka, RabbitMQ, ActiveMQ etc

• Should have good hands-on experience in Informatica MDM Customer 360, Data Integration(ETL) using PowerCenter, Data Quality.
• Must have strong skills in Data Analysis, Data Mapping for ETL processes, and Data Modeling.
• Experience with the SIF framework including real-time integration
• Should have experience in building C360 Insights using Informatica
• Should have good experience in creating performant design using Mapplets, Mappings, Workflows for Data Quality(cleansing), ETL.
• Should have experience in building different data warehouse architecture like Enterprise,
• Federated, and Multi-Tier architecture.
• Should have experience in configuring Informatica Data Director in reference to the Data
• Governance of users, IT Managers, and Data Stewards.
• Should have good knowledge in developing complex PL/SQL queries.
• Should have working experience on UNIX and shell scripting to run the Informatica workflows and to control the ETL flow.
• Should know about Informatica Server installation and knowledge on the Administration console.
• Working experience with Developer with Administration is added knowledge.
• Working experience in Amazon Web Services (AWS) is an added advantage. Particularly on AWS S3, Data pipeline, Lambda, Kinesis, DynamoDB, and EMR.
• Should be responsible for the creation of automated BI solutions, including requirements, design,development, testing, and deployment