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Responsibilities:-

Claim Follow-Up: Review and follow up on unpaid or denied claims with insurance companies, providers, and patients to secure timely payments.

Customer Communication: Conduct professional follow-up calls and emails to resolve outstanding balances, answer inquiries, and clarify billing issues.

Documentation: Maintain accurate and up-to-date records of all communications, payment arrangements, and claim statuses in the billing system.

Dispute Resolution: Investigate and resolve discrepancies related to payments, denials, and adjustments, collaborating with relevant departments as necessary.

Reporting: Generate and review reports on accounts receivable aging, collections progress, and trends to provide insights for management.

Compliance: Ensure adherence to healthcare regulations, billing guidelines, and company policies related to accounts receivable.

Collaboration: Work closely with the billing and coding teams to ensure accurate processing of claims and timely resolution of issues.

Key Responsibilities:-

• Design, build, and enhance Salesforce applications using Apex, Lightning Web Components (LWC), Visualforce, and SOQL.
• Implement integrations with external systems using REST APIs and event-driven messaging (e.g., Kafka).
• Collaborate with architects and business analysts to translate requirements into scalable, maintainable solutions.
• Establish and follow engineering best practices, including source control (Git), code reviews, branching strategies, CI/CD pipelines, automated testing, and environment management.
• Establish and maintain Azure DevOps-based workflows (repos, pipelines, automated testing) for Salesforce engineering.
• Ensure solutions follow Salesforce security, data modeling, and performance guidelines.
• Participate in Agile ceremonies, providing technical expertise and leadership within sprints and releases.
• Optimize workflows, automations, and data processes across Sales Cloud, Service Cloud, and custom Salesforce apps.
• Provide technical mentoring and knowledge sharing when required.
• Support production environments, troubleshoot issues, and drive root-cause analysis for long-term reliability.
• Stay current on Salesforce platform updates, releases, and new features, recommending adoption where beneficial.

Required Qualifications:-

• Bachelor’s degree in Computer Science, Engineering, or related field (or equivalent experience).
• 6+ years of Salesforce development experience with strong knowledge of Apex, Lightning Web Components, and Salesforce APIs.
• Proven experience with Salesforce core clouds (Sales Cloud, Service Cloud, or equivalent).
• Strong hands-on experience with API integrations (REST/SOAP) and event-driven architectures (Kafka, Pub/Sub).
• Solid understanding of engineering practices: Git-based source control (Salesforce DX/metadata), branching strategies, CI/CD, automated testing, and deployment management.
• Familiarity with Azure DevOps repositories and pipelines.
• Strong knowledge of Salesforce data modeling, security, and sharing rules.
• Excellent problem-solving skills and ability to collaborate across teams.

Preferred Qualifications:-

• Salesforce Platform Developer II certification (or equivalent advanced credentials).
• Experience with Health Cloud, Financial Services Cloud, or other industry-specific Salesforce products.
• Experience implementing logging, monitoring, and observability within Salesforce and integrated systems.
• Background in Agile/Scrum delivery with strong collaboration skills.
• Prior experience establishing or enforcing engineering standards across Salesforce teams.

1. Strong experience in Azure – mainly Azure ML Studio, AKS, Blob Storage, ADF, ADO Pipelines.
2. Ability and experience to register and deploy ML/AI/GenAI models via Azure ML Studio.
3. Working knowledge of deploying models in AKS clusters.
4. Design and implement data processing, training, inference, and monitoring pipelines using Azure ML.
5. Excellent Python skills – environment setup and dependency management, coding as per best practices, and knowledge of automatic code review tools like linting and Black.
6. Experience with MLflow for model experiments, logging artifacts and models, and monitoring.
7. Experience in orchestrating machine learning pipelines using MLOps best practices.
8. Experience in DevOps with CI/CD knowledge (Git in Azure DevOps).
9. Experience in model monitoring (drift detection and performance monitoring).
10. Fundamentals of data engineering.
11. Docker-based deployment is good to have.

Category: Software Development

Type: Internship (Remote)

Location: Remote (India)

Time Zone: GMT+05:30 (Asia/Kolkata)

Experience Range: 2 - 4 years (preferred)

Salary: ₹0L - ₹20L per year (based on skills & experience)

ESOPs Available: Yes

Job Description:

The Standard School of Machine Learning (TheSSML) is seeking a Generative AI Intern to work on cutting-edge AI research, model development, and applications in generative models. This is an exciting opportunity to gain hands-on experience in AI-driven content creation, large language models (LLMs), and deep learning-based image/video generation.

Key Responsibilities:

• Research and develop Generative AI models (GANs, VAEs, LLMs, Stable Diffusion).
• Fine-tune large language models (LLMs) for text generation and automation.
• Work on AI-based image, video, and audio generation using deep learning techniques.
• Optimize AI models for performance, scalability, and real-world applications.
• Collaborate with researchers and engineers to improve AI-based creative tools.
• Experiment with prompt engineering and prompt tuning for LLMs.
• Work with Google Vertex AI, AWS, or Azure AI to deploy models.

Must-Have Skills:

• Python, TensorFlow, PyTorch
• Machine Learning & Deep Learning (GANs, VAEs, Transformers)
• NLP & LLMs (GPT, BERT, Stable Diffusion, DALL·E)
• Data Preprocessing & Model Optimization
• Prompt Engineering & AI Content Creation

Good-to-Have Skills:

• Experience with MLOps and AI model deployment
• Knowledge of computer vision and multimodal AI models
• Familiarity with vector databases & retrieval-augmented generation (RAG)

Why Join Us?

• Work on real-world AI projects in a fast-paced research environment.
• Mentorship from industry experts in AI/ML.
• Opportunity to transition into a full-time role based on performance.

PRINCIPAL RESPONSIBILITIES :

1.      Inbound/Outbound Call Handling

2.      Email/Ticket Handling

3.      Escalation Handling

4 Data handling/managing

 CRITICAL SKILLS REQUIRED :

1.      Good listening skills

2.      Good problem solving skills

3.      Good English written skills

4.      Good learning abilities

5.      Good spoken English/Hindi skills

Good MS Excel & MS Word skills

• Work as CAD Wiring Harness Engineer for Automotive applications.
• Good knowledge in Electrical wiring harness design & development of automotive truck/bus/passenger cars.
• Good hands-on experience in CATIA wiring harness routing, packaging, and flattening.
• Good Hands-on experience on Capital Harness XC.
• Knowledge of wire, connector, terminals, fuse box, relay, and fuses.
• Management of engineering & manufacturing BOM for electrical
• Able to read and understand vehicle electrical schematics for automotive application.
• Hands-on experience on CATIA R2019 electrical module. (EI2 and EHF licenses) or other equivalent CAD tools
• Benchmarking of automotive E/E components.
• Good English (spoken & written) Communication is mandatory