AI/ML Engineer at Transient.ai · Bengaluru (Bangalore), Chennai · 5 - 9 years · ₹10L - ₹30L / yr · Posted 10 Jul 2026
Key Responsibilities
• Design, build, and deploy machine learning and AI models that power Transient.AI's core products (research automation, document intelligence, investor matching, and workflow orchestration).
• Work on applied NLP/LLM systems, including retrieval-augmented generation, structured extraction from unstructured financial documents, and model evaluation pipelines.
• Partner closely with product and founding engineers to translate capital markets workflows into scalable AI systems.
• Own model performance, reliability, and cost — from experimentation through production deployment.
• Build and maintain data pipelines, feature stores, and evaluation frameworks to support rapid iteration.
• Ensure systems meet the compliance, auditability, and security standards required in regulated financial environments.
What We're Looking For
• 5+ years of experience building and deploying machine learning or AI systems in production.
• Strong hands-on experience with Python and modern ML/AI frameworks (PyTorch, TensorFlow, Hugging Face, LangChain, or equivalent).
• Experience with LLMs — fine-tuning, prompt engineering, RAG architectures, or agentic systems — is highly valued.
• Solid grounding in data structures, distributed systems, and MLOps practices (model serving, monitoring, versioning).
• Prior experience at a strong product company, high-growth startup, or a top-tier engineering background
• Comfort operating in an early-stage, high-ownership environment with limited process and high ambiguity.
Exposure to fintech, capital markets, or other regulated industries is a plus, though not mandatory

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● Collaborate with engineering, design and product teams to design and ship new
features. Identify and solve bottlenecks and fix bugs.
Desirable Qualifications:
● Deep knowledge of Ruby on Rails (RoR) practices and commonly used modules; deep
understanding of RoR internals like databases, API, caching, proxies, web services,
performance and scalability.
● Experience creating self-contained, reusable, and testable modules and components.
● Experience in SQL and NoSql databases in production environments. Experience
working with Git, AWS/GCP.
● Good communication skills
● 4+ years of relevant experience as a software engineer
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:
- Candidate must have 7+ years of experience in ML, Generative AI, NLP, ASR, and LLMs (preferably healthcare).
- Candidate must have strong Python skills with hands-on experience in PyTorch/TensorFlow and transformer model fine-tuning.
- Candidate must have experience deploying scalable AI solutions on AWS/Azure/GCP with MLOps, Docker, and Kubernetes.
- Candidate must have hands-on experience with LangChain, OpenAI APIs, vector databases, and RAG architectures.
- 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
Mandatory (Experience 1) – Must have 5+ years of hands-on experience in Information Security, with a primary focus on cloud security across AWS, Azure, and GCP environments.
Mandatory (Experience 2) – Must have strong practical experience working with Cloud Security Posture Management (CSPM) tools such as Prisma Cloud, Wiz, or Orca along with SIEM / IDS / IPS platforms
Mandatory (Experience 3) – Must have proven experience in securing Kubernetes and containerized environments including image security,runtime protection, RBAC, and network policies.
Mandatory (Experience 4) – Must have hands-on experience integrating security within CI/CD pipelines using tools such as Snyk, GitHub Advanced Security,or equivalent security scanning solutions.
Mandatory (Experience 5) – Must have solid understanding of core security domains including network security, encryption, identity and access management key management, and security governance including cloud-native security services like GuardDuty, Azure Security Center etc
Mandatory (Experience 6) – Must have practical experience with Application Security Testing tools including SAST, DAST, and SCA in real production environments
Mandatory (Experience 7) – Must have hands-on experience with security monitoring, incident response, alert investigation, root-cause analysis (RCA), and managing VAPT / penetration testing activities
Mandatory (Experience 8) – Must have experience securing infrastructure-as-code and cloud deployments using Terraform, CloudFormation, ARM, Docker, and Kubernetes
Mandatory (Core Skill) – Must have working knowledge of globally recognized security frameworks and standards such as ISO 27001, NIST, and CIS with exposure to SOC2, GDPR, or HIPAA compliance environments
Strong Senior Implementation Engineer (Post-Sales SaaS / Enterprise Onboarding) Profiles
Mandatory (Experience 1): Must have recent 4+ years of experience in technical implementation, solutions engineering, or customer-facing engineering roles within B2B SaaS, preferably for global / US clients.
Mandatory (Experience 2): Must have experience owning end-to-end customer onboarding and technical implementation for complex or enterprise accounts from kickoff to go-live, including customer requirement gathering, configuration, data setup, integrations, validation, and post go-live support.
Mandatory (Experience 3): Must have strong Python scripting skills, with hands-on experience writing scripts for data migration, ETL workflows, automation, and data transformation (CSV, JSON, spreadsheets, APIs).
Mandatory (Experience 4): Must have experience working with APIs, webhooks, REST integrations, reading/debugging JSON payloads, handling authentication flows, and troubleshooting integration issues.
Mandatory (Experience 5): Must have hands-on exposure to data modeling, SQL queries (PostgreSQL preferred), data validation, reconciliation, and quality checks to ensure accuracy during migrations and billing-related workflows.
Mandatory (Experience 6): Must have experience collaborating cross-functionally with product, engineering, and sales teams to ensure timely resolution of implementation blockers and seamless client onboarding.
Mandatory (Early Career) : Candidate must have either a B.Tech in Computer Science (CS) or at least 1+ year of early career experience as a Software Engineer / Developer before transitioning into implementation roles.
Mandatory (Company Type): B2B SaaS or Services company selling to North America / global markets, in a customer-facing implementation or onboarding
Job Description for Digital Marketing Executive
About Quantum:
We are a product innovation company that supports the Transportation and Shipping industries to overcome their business challenges and be leaders in Digital Transformation. Our strength is the in-depth knowledge we hold of the Transportation and Shipping landscape. Our journey begun when we started simplifying the complexities of these businesses as far back as 2003. At the core, we aspire to impact great changes in the Transportation business through our inventions & technology. We are based in Bangalore.
Job role:
· Job role: Digital Marketing Executive
· Educational qualification: BBA/BBM/MBA
· Age limit: 28 to 32 years
· Job location: Koramangala, Bangalore. We are doing work from office model
· Years of experience: 3 to 6 years
What you will be doing:
· Responsible for formulation and execution of the company’s Digital Marketing Strategy
· Creation and management of website
· Independently managing all digital marketing activities
· Set up and management of Linked in and twitter accounts
· Writing blogs and content on digital forum to ensure visibility
· Responsible to develop and implement the Online Marketing and Brand Positioning strategies
· Create key reporting and performance indicators based on business requirements
· Brand management on the digital forum
Core skill required:
· Social Media Management
· Search Engine Optimization
· Social Media Calendar Management
· Brand Reputation Management
· Google Funnel Creation and Optimization
· Email Marketing
· Programmatic Advertising
· Google AdWords
· Meta Advertising
· LinkedIn Advertising
· Brand Management
· Off page SEO & On-Page SEO Analysis, Technical SEO
· Google Analytics
· Advanced Web Page Ranking
· Google Webmasters
· Google Search Console
· Google Trends
· Blog Management/Content Generation
Primary skills:
· 3+ years of experience as a Digital Marketing Professional
· Understanding the importance of the Website
· Experience in Email marketing and carry it to the digital forum
· Social media marketing - visibility
· Experience in branding
· Must understand page optimization and off page optimization
· Understand the value of Search engine optimization but as a complementary skill.
· Blog writing and Content generation
Secondary skills:
· Knowledge on Google certification and Google analytics, Google AdWords
· Setting up tracking systems for marketing campaigns and online activities
· Experience in Website maintenance and press releases
· Latest marketing techniques
Get in Touch or apply?
At Quantum, as much as our clients are important to us, our internal team is very valuable to us, if you invest in us, we will invest back in you through learning, recognition & an opportunity to grow. Be a part of the team that innovates for the future.
Our Social Media presence:
Website: www.quantumbso.com
LinkedIn: https://www.linkedin.com/company/quantumbso/
Company location:
Quantum BSO and Tech Pvt. Ltd, 3rd Floor, Ahad Pinnacle, #80, 5th Main, 2nd Cross, 5th Block,, Koramangala Industrial Area, Bengaluru, Karnataka 560095.
Responsibilities:
• Lead technical processes and designs with a focus on reliability, scalability, and maintainability.
• Review developmentteam code to ensure quality and adherence to standards.
• Mentor junior developers and foster talent development.
• Collaborate with Infrastructure teams for optimal hosting environments.
• Define scalability and performance benchmarks for applications.
• Ensure compliance with performance, privacy, and security requirements.
• Validate test plans for security and performance adherence.
• Support business and technical presentations related to technology solutions.
• Mitigate risks by following procedures and monitoring controls.
• Develop cost-effective solutions aligned with business requirements.
• Implement best practices consistent with corporate standards.
• Partner with cross-functionalteams to ensure project success.
• Manage software development lifecycle and drive process improvements.
• Estimate costs for modules/projects, including effort and expenses.
• Research and evaluate technologies for solution design.
• Construct end-to-end application architecture.
Qualifications:
• Bachelor's degree required; Master’s or equivalent experience preferred.
• Minimum of 6 years of related experience.
• 6+ years of active development experience in Java/J2EE-based applications.
• Expertise in Hibernate, JPA, Spring, and Spring MVC.
• Exposure to XML/XSD, JSON, and similar data presentation components.
• Familiarity with microservices architecture and distributed systems.
• Experience developing and working with REST APIs using the Spring Boot framework.
• Knowledge of IBM MQ and messaging protocols like JMS.
• Proficiency in Unix/Linux OS and shell scripting.
• Strong database and PL/SQL skills.
• Experience with CI/CD tools such as GIT, Jenkins, JoCoCo, and Maven.
• UI framework experience with Angular, NodeJS, and NPM is a plus.
• Familiarity with CSS, HTML, JavaScript, and related UI frameworks (jQuery, React, Angular) is a plus.
• Understanding of Agile development methodology.
Job Insights - Must-Have Skills:
• Minimum of 6 years of related experience.
• 6+ years of active Java/J2EE development experience.
• Expertise in Hibernate, JPA, Spring, and Spring MVC.
• Familiarity with microservices architecture.
• Experience developing REST APIs using Spring Boot.

- 6+ Years of experience in Automaton Testing
- QA Automation Tester (with Selenium and Appium)
- Hands on experience in Selenium
- Hood hands on experience in Java
- 2 Years of Hands on experience in Appium Testing for Android and iOS Native
- The candidate is required to have hands-on experience (2yrs +) with Appium automation for Android and iOS native applications.
- 3+ years of experience in native android app development.
- Strong programming experience in Core Java, Android SDK
- Experience working with Kotlin is a plus
- Experience working with Media player
- Experience working with offline app & content security, Encryption and Decryption
- Experience working with FCM
- Experience with web services integration, REST API framework, social media and other third party integrations
- Write good quality code, unit tests, automation and performing code reviews.
- Should have Experience of Social Integration.
- Ready to take complete ownership of multiple products, work alone on project if required
- Good knowledge in Android services/Framework layer and its debugging
- Experience with version control systems, preferably Git.
- Shipped multiple Android Applications that are currently available in the Google Play Store
- Good knowledge of data structures, algorithms and time/space complexity analysis.
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Good problem solving abilities.
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Ability to communicate well with Product and Engineering Team
- Experience with a start-up would be added advantage.










