
Data Scientist - Machine Learning & MLOps | Healthcare Analytics
at Sentiaflow
We are looking for a talented and driven Data Scientist to join our growing Analytics team in India. In this role, you will work at the intersection of advanced machine learning, scalable MLOps infrastructure, and domain-specific healthcare analytics. You will collaborate closely with cross-functional teams to build, deploy, and maintain production-grade ML models that drive real-world impact in clinical trials and healthcare operations.
KEY RESPONSIBILITIES
End-to-End ML Development
• Design, build, and optimize predictive models across the full ML lifecycle—from data ingestion to model serving.
• Conduct rigorous Exploratory Data Analysis (EDA) to surface insights and drive feature engineering decisions.
• Validate model performance using appropriate statistical techniques and domain knowledge.
MLOps & Production Deployment
• Deploy, monitor, and maintain production-grade ML models using Databricks MLFlow endpoints and Unity Catalog.
• Implement CI/CD pipelines for model versioning, experiment tracking, and automated retraining.
• Ensure model reliability, observability, and performance in live production environments.
Language Models & LLM Applications
• Apply transformer-based models (BERT, ClinicalBERT, Trial2Vec) for NLP tasks including classification, NER, and information extraction.
• Build and maintain vector similarity search pipelines for semantic retrieval and recommendation use cases.
• Fine-tune pre-trained models for domain-specific applications in clinical and healthcare contexts.
• Support exploratory work around LLM integration and prompt engineering for internal tooling.
Domain-Driven Analytics
• Apply advanced analytics within complex healthcare and clinical trial datasets—including patient records, trial protocols, and adverse event data.
• Translate ambiguous business problems into structured analytical frameworks with measurable outcomes.
• Partner with domain experts, product managers, and engineering teams to deliver data-driven solutions.
REQUIRED QUALIFICATIONS
Education
• Bachelor’s or Master’s degree in Computer Science, Statistics, Mathematics, Bioinformatics, or a closely related field.
Experience
• 2–4 years of hands-on experience in a data science or machine learning role.
• Demonstrable experience deploying ML models in production environments (not just prototyping).
Technical Skills
• Strong proficiency in Python (pandas, NumPy, scikit-learn, PyTorch / TensorFlow).
• Experience with Databricks, MLFlow (experiment tracking, model registry, endpoints), and Unity Catalog.
• Hands-on experience with BERT-family models and Hugging Face Transformers library.
• Familiarity with vector databases (e.g., FAISS, Pinecone, Weaviate) and embedding-based retrieval.
• Solid understanding of SQL and working with large structured/unstructured datasets.
• Exposure to cloud platforms (AWS / GCP / Azure) and distributed computing frameworks (Spark).
GOOD TO HAVE
• Prior experience with clinical trial data standards (CDISC, CDASH, SDTM) or healthcare ontologies (SNOMED, ICD-10).
• Familiarity with Trial2Vec or similar trial-to-vector embedding approaches.
• Experience with LLM fine-tuning, RAG pipelines, or prompt engineering in a production setting.
• Knowledge of regulatory and compliance considerations in healthcare AI (e.g., FDA guidelines, HIPAA).
• Contributions to open-source ML projects or published research.
THIS ROLE IS NOT FOR YOU IF…
• You have strong SQL/BI skills but limited hands-on ML modelling experience — or you’ve built models only in notebooks without ever deploying them to production.
• Your LLM exposure is limited to API calls and prompt engineering — with no experience fine-tuning models, working with embeddings, or building vector search pipelines.

About Sentiaflow
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Company Overview
We are a full-service marketing agency that helps ambitious brands show up sharper, grow faster and stand out in crowded markets. From content and social to performance marketing, design, video and PR, we build and execute brand strategies end-to-end for a diverse roster of clients across industries. We're a team that moves fast, takes creative risks, and holds itself to agency-grade standards on every single deliverable. If you want your work to ship, get seen, and actually move numbers for real brands rather than sit in a deck, you'll fit right in.
Role Summary
Specialize in short-form, vertical video editing optimized for retention and virality across Reels, Shorts.
Job Details
- Experience: 2-5 years
- Work Model: On-site
- Work Location: ATS Bouquet, Sector 132, Noida
- Work Week: Monday-Saturday, 9:30 AM - 6:30 PM
- Reports To: Creative Lead / Social Media Manager
- Education: Bachelor's degree preferred; strong portfolio can substitute formal education
Key Responsibilities
- Edit fast-paced, vertical, short-form video for Reels, Shorts and TikTok
- Build strong hooks early in the video to stop the scroll
- Add trending sounds, effects, captions and transitions appropriately
- Work closely with the social team on concept, pacing and hook testing
- Repurpose long-form content into multiple platform-native short cuts
- Track which edit styles and formats are driving retention and replicate them
- Stay constantly plugged into trending audio, formats and edit styles
- Deliver polished edits on tight, recurring turnarounds
- Maintain a personal trend library to speed up future edits
- Collaborate with creators/talent on shoot-day content capture when needed
Mandatory Skills & Experience
- 2-5 years of short-form video editing experience
- Strong understanding of retention hooks and platform algorithms
- Proficiency in CapCut, Premiere Pro or After Effects
- Proven portfolio with demonstrated engagement results, not just clean cuts
Preferred Skills (Good to Have)
- A personal account with organic reach/virality
- Experience editing for a high-volume content brand or creator
- Trend-spotting and audio-curation skills
Tools & Technologies
- CapCut / Adobe Premiere Pro / After Effects
- Trend-tracking tools (TikTok Creative Center, Instagram Trends)
- Caption/subtitle automation tools
- Cloud storage for footage management
KPIs / Success Metrics
- Average watch-through/completion rate
- Volume of edits delivered vs. target
- Engagement rate (shares, comments, saves)
- Turnaround time on trend-based content
Benefits & Perks
- Competitive compensation with performance-linked growth
- High-ownership role with direct access to leadership
- Fast-tracked career growth in a high-growth environment
- Learning and development support
- A culture that rewards speed, ownership and craft
Experience: 2-8 years
Skills:
* Hands-on experience in designing UI frameworks for large scale projects using ReactJS
* experience in UI development using ReactJS Redux, HTML5, JS, CSS
* Experience in UI/UX work flows.
* Experience in Rest APIs integration.
* Experience in responsive and adaptive web designs using media queries, bootstrap and other frameworks & grid systems.
* Experience in Git, Dockers
* Experience in SSO implementation using OAuth2 & JWT tokens
Job Description
We are looking for a skilled .NET FullStack Developer with expertise in .NET , React.js and AWS/Azure to join our development team. The ideal candidate should have strong programming skills and experience building scalable web applications using modern technologies.
Key Responsibilities
- Develop and maintain scalable applications using .NET Core.
- Design and implement Microservices architecture and RESTful APIs.
- Build responsive and dynamic user interfaces using React.js.
- Integrate frontend applications with backend APIs.
- Deploy and manage applications on AWS/Azure
- Collaborate with cross-functional teams to define, design, and deliver new features.
- Write clean, maintainable, and efficient code following best development practices.
Required Skills
- Strong experience in .NET development.
- Hands-on experience with Microservices architecture and API development.
- Experience working with React.js, including API integration and design principles.
- Experience with AWS / Azure
Role : AWS Data Engineer
Location : Anywhere in India - where cognizant office is available
Contract duration : 12 months contract
Total Experience : 8-10 years
Budget-15LPA
Relevant Experience : 5+years with required skills & data engineering
Client : Cognizant
Job description :
Python
Spark
Gradle
AWS Services (ex: S3, Athena, Redshift, Transfer, SNS, SQS, Event Bridge, Lamda, Glue Data Catalog, RDS, EC2, IAM, Flink)
Kubernetes
Argo
Kafka / Kinesis streaming
SQL
ETL Data Pipelines
Data Modelling
Power BI/ Any reporting tools
New Relic / Terraform
Operational support - Batch monitoring, root cause analysis and fix
Roles and Responsibilities:
▪ Data Pipeline Development: Build, deploy, and maintain efficient ETL/ELT pipelines using Azure
Data Factory, Data Factory & Azure Synapse Analytics.
▪ We are only looking for senior candidates with over 5 yrs of relevant exp with ample client
facing exp.
· Finance/Insurance experience is also a must.
▪ Data Modelling & Warehousing: Design and optimize data models, warehouses, and lakes for
structured/unstructured data.
▪ SQL & Query Optimization: Write complex SQL queries, optimize performance, and manage
databases. · Python Automation: Develop scripts for data processing, automation, and
integration using Python (Pandas, NumPy).
Technical Skills:
▪ Cloud Technologies: Azure Synapse Analytics, Azure Fabric, Azure Databricks and AWS(good to
have)
▪ Knowledge of Python, Pyspark, SQL, ETL concepts
▪ Good understanding of Insurance Operations and KPI reporting is an advantage.
A Desktop Support Engineer is responsible for providing technical support for computer hardware and software issues in an organization's desktop environment. The role involves assisting employees with troubleshooting, maintaining, and resolving issues related to their desktops, laptops, and peripherals.
Job Summary:
- Hardware Support:
- Install, configure, and maintain desktops, laptops, and peripherals (printers, monitors, etc.).
- Perform hardware repairs and upgrades.
- Software Support:
- Troubleshoot and resolve software-related issues, including OS installations, software updates, and application support.
- Ensure proper functioning of office productivity software (MS Office, etc.) and enterprise applications.
- Network Support:
- Provide assistance in connecting workstations to the company network and resolving connectivity issues.
- Troubleshoot network-related issues on desktops and laptops.
- User Support:
- Assist employees with troubleshooting technical problems, including login issues, system crashes, and application errors.
- Offer guidance on proper system usage and IT best practices.
- System Maintenance:
- Regularly update and patch desktop systems to ensure security and functionality.
- Backup important files and data as per company policy.
- Documentation:
- Maintain logs of issues, solutions, and configurations for future reference.
- Document common problems and resolutions for knowledge-sharing purposes.
- Customer Service:
- Provide excellent customer service and maintain a professional demeanor when dealing with users' technical issues.
Key Skills:
- Technical Knowledge: Proficient in desktop operating systems (Windows, Mac OS, Linux) and office software.
- Problem-Solving: Ability to diagnose and resolve technical issues efficiently.
- Communication: Strong verbal and written communication skills to interact with end-users.
- Networking Basics: Understanding of network configurations and troubleshooting.
- Time Management: Capable of handling multiple requests and prioritizing tasks.
Target area would be clients looking forward Digital Marketing services. Hence includes,
1) Increasing revenues
2) Growth in terms of business expansion,
3) Increasing profitability by building strategic partnerships and making strategic business decisions.
4) Responsible for prospecting, identifying, and developing business with new customers
5) Preparing commercials for prospective clients based on the business offering in consultation with the project manager.
6)- Introduce the new client to the operations team and assist the operations team to work for the new client.
7) Competitor analysis: Should be aware of the work being done by the competition and come up with strategies to acquire those accounts.
8) Providing management with client/market feedback.
9) Ability to identify client needs and deciding deliverables for the same.
10) Should be self driven, target oriented and passionate
Role Business
Industry Type IT
Functional Area Sales & Business Development
Employment Type Full Time, Permanent
Role Category BD / Pre Sales
Education
UG : Any Graduate
PG : Any Postgraduate
Doctorate: Doctorate Not Required
Key Skills
Communication Skills Data Analysis Business Development
Competitor Analysis BD Account Mining Execution Project Management Digital Marketing New Business
25000 TO 750000 K
Position Level: Product Engineer
Company Overview:
AskSid.ai is a 4 years old start-up based in Bangalore, is fast growing and cofounded by
two ex-Mindtree employees each with 20+ years of experience. We were rated the No1
emerging SaaS company in India and won the NASSCOM EMERGE 50- League of 10
awards in 2019. Also got rated as the most innovative AI company in India for 2020 by
CII and Accenture Ventures. As a growing company, we are looking for passionate
engineers who aspire to build world class technology products of internet scale.
Job purpose:
Design, engineer, and maintain our proprietary framework, APIs, and technology
components of a SaaS software product platform with the ability to scale to millions of
requests and thousands of concurrent users.
Responsibilities:
- Full stack product engineering i.e. design, engineer, test, deploy, monitor, and maintain software components to QA and Production environments
- Design & engineer product experience & APIs conforming to defined quality, maintainability, scalability, and performance KPIs
- Build, maintain, and improve continuous integration and delivery lifecycle processes
- Automation of repetitive engineering and production activities
Education and Experience
- Engineering in computer science
- 3+ year of relevant experience in product engineering with expertise in building frameworks, reusable components, and APIs
- Expert level skills in analytical & problem solving
- Strong programming and engineering fundamentals like Data Structures,
- Design Principles, TDD, and Performance Tuning to build scalable and performance optimized product
- Ability to communicate clearly in English
- HTML5
- CSS3 (Sass/Less)
- JQuery
- JavaScript (ES6) / TypeScript
- React.js
- Version Control : Git

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- Ideate new formats for interactive 3D/AR commerce that deliver customer delight.
- Build the engine that powers the next stage of interactive shopping experiences – current on smartphones and future on AR glasses.
- Build cutting-edge products with real-time computer vision, NLP, and other machine learning technologies.
- Ride the massive Augmented Reality wave with the introduction of AR glasses.
- Explore the trillion-dollar global potential of 3D and AR-powered commerce.
What we look for:
- Minimum of 4+ years of software product management experience, preferably in the Product based, e-Commerce, or Retail industry.
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- Have solid execution capability and can inspire a team to deliver challenging projects with high-quality delivery.
- Up to date with the latest developments in AR and AI technologies.
- Preferably with previous experience as a software engineer and moved to a product management role.
- Preferably have experience working on e-commerce product descriptions or brand pages.
- Preferably have experience building and launching deep learning AI (computer vision, NLP, etc) products.
- Someone who loves learning and can step out of your comfort zone to quickly pick up and apply new technologies and concepts.
What’s in it for you?
- Join a highly energetic and innovative team
- Be part of the key function of the business transformation
- Competitive compensation and enjoy a workplace flexibility culture









