Service Now SecOps Developer

About MyOperator

MyOperator is a Business AI Operator, a category-leader that unifies WhatsApp, Calls, and AI-powered chat & voice bots into one intelligent business communication platform. Unlike fragmented communication tools, MyOperator combines automation, intelligence, and workflow integration to help businesses run WhatsApp campaigns, manage calls, deploy AI chatbots, and track performance — all from a single, no-code platform. Trusted by 12,000+ brands including Amazon, Domino's, Apollo, and Razorpay, MyOperator enables faster responses, higher resolution rates, and scalable customer engagement — without fragmented tools or increased headcount

Role Summary

We’re hiring a Front Deployed Engineer (FDE)—a customer-facing, field-deployed engineer who owns the end-to-end delivery of AI bots/agents.

This role is “frontline”: you’ll work directly with customers (often onsite), translate business reality into bot workflows, do prompt engineering + knowledge grounding, ship deployments, and iterate until it works reliably in production.

Think: solutions engineer + implementation engineer + prompt engineer, with a strong bias for execution.

Responsibilities-

Requirement Discovery & Stakeholder Interaction

• Join customer calls alongside Sales and Revenue teams.
• Ask targeted questions to understand business objectives, user journeys, automation expectations, and edge cases.
• Identify data sources (CRM, APIs, Excel, SharePoint, etc.) required for the solution.
• Act as the AI subject-matter expert during client discussions.

Use Case & Solution Documentation

• Convert discussions into clear, structured use case documents, including:
• Problem statement & goals.
• Current vs. proposed conversational flows.
• Chatbot conversation logic, integrations, and dependencies.
• Assumptions, limitations, and success criteria.

Customer Delivery Ownership

• Own deployment of AI bots for customer use-cases (lead qualification, support, booking, etc.). Run workshops to capture processes, FAQs, edge cases, and success metrics. Drive the go-live process: requirements through monitoring and improvement.

Prompt Engineering & Conversation Design

• Craft prompts, tool instructions, guardrails, fallbacks, and escalation policies for stable behavior. Build structured conversational flows: intents, entities, routing, handoff, and compliant responses. Create reusable prompt patterns and "prompt packs."

Testing, Debugging & Iteration

• Analyze logs to find failure modes (misclassification, hallucination, poor handling). Create test sets ("golden conversations"), run regressions, and measure improvements. Coordinate with Product/Engineering for platform needs.

Integrations & Technical Coordination

• Integrate bots with APIs/webhooks (CRM, ticketing, internal tools) to complete workflows. Troubleshoot production issues and coordinate fixes/root-cause analysis.

What Success Looks Like

• Customer bots go live quickly and show high containment + high task completion with low escalation.
• You can diagnose failures from transcripts/logs and fix them with prompt/workflow/knowledge changes.
• Customers trust you as the “AI delivery owner”—clear communication, realistic timelines, crisp execution.

Requirements (Must Have)

• 2–5 years in customer-facing delivery roles: implementation, solutions engineering, customer success engineering, or similar.
• Hands-on comfort with LLMs and prompt engineering (structured outputs, guardrails, tool use, iteration).
• Strong communication: workshops, requirement capture, crisp documentation, stakeholder management.
• Technical fluency: APIs/webhooks concepts, JSON, debugging logs, basic integration troubleshooting.
• Willingness to be front deployed (customer calls/visits as needed).

Good to Have (Nice to Have)

• Experience with chatbots/voicebots, IVR, WhatsApp automation, conversational AI platforms with at least a couple of projects. 
• Understanding of metrics like containment, resolution rate, response latency, CSAT drivers.
• Prior SaaS onboarding/delivery experience in mid-market or enterprises.

Working Style & Traits We Value

• High agency: you don’t wait for perfect specs—you create clarity and ship.
• Customer empathy + engineering discipline.
• Strong bias for iteration: deploy → learn → improve.
• Calm under ambiguity (real customer environments are chaotic by default).

JOB DETAILS:

* Job Title: Principal Data Scientist

* Industry: Healthcare

* Salary: Best in Industry

* Experience: 6-10 years

* Location: Bengaluru

Preferred Skills: Generative AI, NLP & ASR, Transformer Models, Cloud Deployment, MLOps

Criteria:

1. Candidate must have 7+ years of experience in ML, Generative AI, NLP, ASR, and LLMs (preferably healthcare).
2. Candidate must have strong Python skills with hands-on experience in PyTorch/TensorFlow and transformer model fine-tuning.
3. Candidate must have experience deploying scalable AI solutions on AWS/Azure/GCP with MLOps, Docker, and Kubernetes.
4. Candidate must have hands-on experience with LangChain, OpenAI APIs, vector databases, and RAG architectures.
5. Candidate must have experience integrating AI with EHR/EMR systems, ensuring HIPAA/HL7/FHIR compliance, and leading AI initiatives.

Job Description

Principal Data Scientist

(Healthcare AI | ASR | LLM | NLP | Cloud | Agentic AI)

Job Details

• Designation: Principal Data Scientist (Healthcare AI, ASR, LLM, NLP, Cloud, Agentic AI)
• Location: Hebbal Ring Road, Bengaluru
• Work Mode: Work from Office
• Shift: Day Shift
• Reporting To: SVP
• Compensation: Best in the industry (for suitable candidates)

Educational Qualifications

• Ph.D. or Master’s degree in Computer Science, Artificial Intelligence, Machine Learning, or a related field
• Technical certifications in AI/ML, NLP, or Cloud Computing are an added advantage

Experience Required

• 7+ years of experience solving real-world problems using:
• Natural Language Processing (NLP)
• Automatic Speech Recognition (ASR)
• Large Language Models (LLMs)
• Machine Learning (ML)
• Preferably within the healthcare domain
• Experience in Agentic AI, cloud deployments, and fine-tuning transformer-based models is highly desirable

Role Overview

This position is part of company, a healthcare division of Focus Group specializing in medical coding and scribing.

We are building a suite of AI-powered, state-of-the-art web and mobile solutions designed to:

• Reduce administrative burden in EMR data entry
• Improve provider satisfaction and productivity
• Enhance quality of care and patient outcomes

Our solutions combine cutting-edge AI technologies with live scribing services to streamline clinical workflows and strengthen clinical decision-making.

The Principal Data Scientist will lead the design, development, and deployment of cognitive AI solutions, including advanced speech and text analytics for healthcare applications. The role demands deep expertise in generative AI, classical ML, deep learning, cloud deployments, and agentic AI frameworks.

Key Responsibilities

AI Strategy & Solution Development

• Define and develop AI-driven solutions for speech recognition, text processing, and conversational AI
• Research and implement transformer-based models (Whisper, LLaMA, GPT, T5, BERT, etc.) for speech-to-text, medical summarization, and clinical documentation
• Develop and integrate Agentic AI frameworks enabling multi-agent collaboration
• Design scalable, reusable, and production-ready AI frameworks for speech and text analytics

Model Development & Optimization

• Fine-tune, train, and optimize large-scale NLP and ASR models
• Develop and optimize ML algorithms for speech, text, and structured healthcare data
• Conduct rigorous testing and validation to ensure high clinical accuracy and performance
• Continuously evaluate and enhance model efficiency and reliability

Cloud & MLOps Implementation

• Architect and deploy AI models on AWS, Azure, or GCP
• Deploy and manage models using containerization, Kubernetes, and serverless architectures
• Design and implement robust MLOps strategies for lifecycle management

Integration & Compliance

• Ensure compliance with healthcare standards such as HIPAA, HL7, and FHIR
• Integrate AI systems with EHR/EMR platforms
• Implement ethical AI practices, regulatory compliance, and bias mitigation techniques

Collaboration & Leadership

• Work closely with business analysts, healthcare professionals, software engineers, and ML engineers
• Implement LangChain, OpenAI APIs, vector databases (Pinecone, FAISS, Weaviate), and RAG architectures
• Mentor and lead junior data scientists and engineers
• Contribute to AI research, publications, patents, and long-term AI strategy

Required Skills & Competencies

• Expertise in Machine Learning, Deep Learning, and Generative AI
• Strong Python programming skills
• Hands-on experience with PyTorch and TensorFlow
• Experience fine-tuning transformer-based LLMs (GPT, BERT, T5, LLaMA, etc.)
• Familiarity with ASR models (Whisper, Canary, wav2vec, DeepSpeech)
• Experience with text embeddings and vector databases
• Proficiency in cloud platforms (AWS, Azure, GCP)
• Experience with LangChain, OpenAI APIs, and RAG architectures
• Knowledge of agentic AI frameworks and reinforcement learning
• Familiarity with Docker, Kubernetes, and MLOps best practices
• Understanding of FHIR, HL7, HIPAA, and healthcare system integrations
• Strong communication, collaboration, and mentoring skills

About The Company:

Dolat is a dynamic team of traders, puzzle solvers, and coding enthusiasts focused on tackling complex challenges in the financial world. We specialize in trading in volatile markets and developing cutting-edge technologies and strategies. We're seeking a skilled Linux Support Engineer to manage over 400 servers and support 100+ users. Our engineers ensure a high-performance, low-latency environment while maintaining simplicity and control. If you're passionate about technology, trading, and problem-solving, this is the place to engineer your skills into a rewarding career.

Qualifications:

• B.E/ B.Tech
• Experience: 1-3 years.
• Job location – Andheri West, Mumbai.

Responsibilities:

• Troubleshoot network issues, kernel panics, system hangs, and performance bottlenecks.
• Fine-tune processes for minimal jitter in a low-latency environment.
• Support low-latency servers, lines, and networks, participating in on-call rotations.
• Install, configure, and deploy fully-distributed Red Hat Linux systems.
• Deploy, configure, and monitor complex trading applications.
• Provide hands-on support to trading, risk, and compliance teams (Linux & Windows platforms).
• Automate processes and analyze performance metrics to improve system efficiency.
• Collaborate with development teams to maintain a stable, high-performance trading environment.
• Drive continuous improvement, system reliability, and simplicity.
• Resolve issues in a fast-paced, results-driven IT team.
• Provide level one and two support for tools systems testing and production release.

Skills Required:

• Expertise in Linux kernel tuning, configuration management (cfengine).
• Experience with hardware testing/integration and IT security.
• Proficient in maintaining Cisco, Windows, and PC hardware.
• Good knowledge in Perl, Python, Powershell & Bash.
• Hands-on knowledge of SSH, iptables, NFS, DNS, DHCP, and LDAP.
• Experience with Open Source tools (Nagios, SmokePing, MRTG) for enterprise-level systems.
• Knowledge of maintaining Cisco ports/VLANs/dot1.x
• Solid understanding of OS and network architectures.
• REDHAT Certification and SQL/database knowledge.
• Ability to manage multiple tasks in a fast-paced environment.
• Excellent communication skills and fluency in English.
• Proven technical problem-solving capabilities.
• Strong documentation and knowledge management skills.
• Software development skills are a bonus.
• Preferred SQL and database administration skills.

Industry

• Financial Services

Responsibilities:

•   Collaborate with the development team to design and implement new features for our iOS applications using Swift.
•   Write clean, maintainable, and efficient code under the guidance of senior developers.
•   Assist in translating UI/UX designs into high-quality code.
•   Participate in debugging and troubleshooting to identify and fix bugs.
•   Write unit and UI tests to ensure code quality and robustness.
•   Contribute to code reviews to learn from and share knowledge with the team.
•   Stay up-to-date with the latest iOS development trends, tools, and best practices.
•   Work with version control systems like Git.
•   Communicate effectively with team members regarding progress, challenges, and ideas.

Required Qualifications:

•   Basic understanding of Swift programming language concepts.
•   Familiarity with the iOS SDK (UIKit and/or SwiftUI).
•   Experience with Xcode IDE.
•   Fundamental understanding of mobile development concepts (e.g., view life cycles, memory management, networking).
•   Basic knowledge of version control using Git.
•   Strong problem-solving skills and attention to detail.
•   Excellent communication and teamwork skills.
•   A strong desire to learn, grow, and take on new challenges in iOS development.
•   Bachelor's degree in Computer Science, Engineering, or a related field, OR equivalent practical experience demonstrated through projects or portfolio.

Preferred Qualifications (Nice-to-Haves):

•   Familiarity with RESTful APIs and JSON to connect iOS applications to back-end services.
•   Understanding of common architectural patterns (e.g., MVC, MVVM, VIPER).
•   Experience with dependency managers (e.g., CocoaPods, Swift Package Manager).
•   Exposure to Agile/Scrum development methodologies.
•   Personal projects or contributions to open-source projects (please provide links if available, e.g., GitHub profile).
•   Basic understanding of automated testing frameworks (e.g., XCTest).

• 0 to 3 years of experience (or equivalent understanding of software engineering)
• Familiar with Javascript/Typescript and React.js
• Familiar with one backend language (Node, Go, Java, Python) and one relational database (any SQL)
• Willingness and interest in learning new tech/processes (Next.js, Angular, IaaS, etc.)

Desired Candidate Profile

• MBA/ engineering from premier Institutions
• 4-7 years experience with at least 3 years in areas relevant to operations or operations design (for Pre MBA profiles)
• 2-4 years experience with at least 1 year in areas relevant to operations or operations design (for MBA profiles)
• Experience in working on marketplace/ blue-collared mobile products
• Deep analytical thinking and problem-solving abilities
• Strong data and analytics capabilities
• Product mindset and problem-solving ability
• Ability to look at the big picture while solutioning    

• Analysing medical processes and service quality
• Developing review parameters for quality assessment
• Improving care service delivery and patient experience
• Coordinating with inhouse team of 50 doctors 
• Coordinating with patients for managing grievances
• Creating reports for periodic reviews

Requirements:

• MBBS in Medicine with 1-4 years’ operational and/or administrational experience in a hospital/healthcare company. 
• Fluency in English
• Proficiency in MS office is a must.
• Problem solving attitude
• Post-graduation not required.
• Working Sundays 

However Candidates who are BDS, BAMS or BHMS with at least 2 years in healthcare operations and admin experience may also apply.