SFDC Technical Architect

• Strong B2B Tech Sales profiles
• Mandatory (Experience 1): Must have a minimum 5+ YOE in B2B SaaS / Enterprise Tech sales, preferably in ERP, CAD, or Factory Automation tools.
• Mandatory (Experience 2): At least 1+ YOE selling ERP solutions or CAD Softwares.
• Mandatory (Experience 3): Proven track record in offline / field sales and experience in selling complex solutions.
• Mandatory (Tools): Proficient in CRM systems (HubSpot, Zoho, Salesforce, etc.) and lead generation tools (LinkedIn Sales Navigator, Apollo, ZoomInfo, etc.)
• Mandatory (Company): Experience in B2B SaaS Product companies or IT/Tech Services companies.

Preferred

• Preferred (Industry Fit) : Prior exposure to the Manufacturing sector (highly preferred – Garment / Textile Manufacturing).
• Preferred Companies (Competitors): Candidates from Solvei8, Zilingo, Centric Software, Gofrugal, Ginesys (or similar players in ERP/CAD/Manufacturing SaaS

• An Engineering/Master’s Degree from a reputed institute
• 5+ year of experience in the B2B/SaaS/Enterprise domain. Great to have someone from the “Conversational AI” space
• Ability to engage and influence key stakeholders in accounts; Effective in performing technical/functional activities required during pre-sales stage
• Experience in Solution/Concept selling (CRM/ ERP/ Enterprise/ Contact Centers/ SaaS/ CPaaS Solutions) is a must
• Should be comfortable in understanding and explaining technology and solutions with a consultative approach
• Should have the ability to work independently and as part of a team
• Strong problem-solving and decision-making skills
• Strong problem-solving and decision-making skills
• Candidates from Edtech/HR Tech companies will not be considered
• Candidates with more than 2 job changes in the last 3 years will not be considered

Job Summary:

We are seeking a passionate and knowledgeable Science Teacher to join our faculty. The ideal candidate will inspire curiosity, foster critical thinking, and promote hands-on learning in the sciences. You will be responsible for delivering engaging science instruction aligned with curriculum standards, assessing student progress, and creating a dynamic classroom environment.

Key Responsibilities:

• Plan, prepare, and deliver high-quality science lessons in accordance with curriculum guidelines (e.g., Biology, Chemistry, Physics, General Science)
• Develop and implement lab activities and experiments to enhance student learning
• Assess, evaluate, and report on student performance through tests, assignments, and projects
• Create a safe and inclusive learning environment
• Integrate technology and innovative teaching strategies into lessons
• Participate in faculty meetings, parent-teacher conferences, and professional development
• Maintain accurate records of student attendance, grades, and progress
• Manage classroom behavior and enforce school rules

About the role –

● Counsel students over the phone for admissions in UG & PG Courses.

● Assist learners in forms filling for admission.

● Guide students to take admission in our partner colleges as per the assigned targets.

● Have a direct access to the colleges SPOC as & when required & help in admission conversion

process. Maintain daily MIS on the calls & walk-ins (if any)

Must have skills:

● Excellent listening + communications skills (English, Hindi, Kannada and Tamil)..

● Interpersonal Skills

● Integrity and Professionalism.

● Ability to operate within a wide range of student personalities and background.

● Should enjoy working in a core sales driven environment.

● Self-starter & ability to execute high velocity closures.

● Inherent ability to have engaging conversations.

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

Responsibilities:

• Define the code review process for the team to follow and perform code reviews.
• Design, implement, and maintain Java-based applications that can be high-volume and low-latency.
• Ensure application designs conform with business goals.
• Develop and test software & Identify and resolve any technical issues arising.

Eligibility:

• 3+ yrs of experience developing web applications using J2EE / Java.
• Possess knowledge and skills in software programming in Core Java, J2EE, Microservices-related technologies, Spring Boot, Spring MVC, Rest API, JavaScript, and XML.
• Experience developing enterprise-level web applications and RESTful APIs using Microservices.
• Experience in API Management & in using version control and CI / CD tools.

Job Responsibilities :

· Design, Development, Testing and Implementation of new customization in D365 & NAVISION with writing code in C/AL programming

· Addressing support issues for all locations

Essential Skills:

· Strong Technical Experience on Dynamic Nav

· Having good technical knowledge in D365 Business Central 

· Strong Technical C/AL Language Skill

· MS SQL query writing 

· SQL reports 

· Basic Process Data Flow Understanding in NAV

· Knowledge of designing, testing, development inhouse for Navision

· Good communication skills

· Good team player

Experience :- Minimum 2 - 8 years or any.

Job Type: Full Time

Job Location: Gurgaon

Job Description:

We are looking for passionate Software Engineers to design, and develop software solutions. You will be responsible for developing and designing architecture, ensuring the responsiveness, and scaling of applications. You will be required to see a project from conception to final product, requiring good organizational skills and attention to detail. What you bring to the table is more than just your technical skills - your unique perspective, ideas and cultures will help us create better products and services.

Roles & Responsibilities:

•   Work with development teams and product managers to ideate software solutions
•       Design and Develop well-functioning software architecture and database design
•   Write effective APIs
• Test software to ensure responsiveness and efficiency
•   Troubleshoot, debug and upgrade software
• Create security and data protection settings
• Build features and applications with responsive design
•     Improving, adding new features, and maintaining existing software products

Required Skills:

•       C#
• .Net
• Wpf
•   MySQL/PostgreSQL
• Knowledge of Restful API
• Git
• Should have self-exploration capabilities and an analytical mindset to find solutions to complex problems.
•       Good knowledge of basic data structures and algorithms
•     Good Debugging skills

Strong expertise in AWS architecture, deployment and coding using Python and AWS Lambda functions. She/ he should also have experience with NOSQL database like MongoDB/ DynamoDB and exposure to Machine Learning. She/ he should be familiar with Ajax calls, interaction with API using JSON files and xml.

Knowledge of testing tools like JMeter and Selenium and programming languages like Javascript and Dot Net will be a big advantage.
The person should be able to guide junior resources, perform code reviews and solve performance issues as required.