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Position Summary

We are looking for a strong hands-on Software Engineer to develop and maintain Python 3.10 backend services and FastAPI-based Backend for Frontend (BFF) for the CryoFlow platform. You will address the assigned tasks, understand the expected behavior, implement 

clean and well-tested code, and validate your work end to end.

This role suits an engineer who codes well, thinks through problems methodically, learns quickly in an unfamiliar domain, and takes pride in delivering features that work reliably in real product conditions. You will work closely with senior engineers, QA and front-end developers, and will participate in client feedback meetings to understand how your work is used.

Key Responsibilities

• Contribute to the refactor of existing backend capabilities into Python 3.10 services aligned with CryoFlow architecture and deployment practices.

• Develop and maintain REST APIs, Microservices, BFF using FastAPI and Uvicorn, exposing clear APIs for product workflows, integration screens and front-end consumers. 

• Follow team coding standards, branching strategy, review process and API conventions consistently

• Implement backend logic for status updates, validation, data persistence, device/session edge cases, report-generation helpers and user-facing error handling.

• Deliver assigned backlog items and tasks on schedule, with clean, readable and maintainable code.

• Participate in design discussions and reviews; propose simple, practical approaches and incorporate feedback well.

• Write and maintain tests for Python services and integration flows, including API tests, BFF route tests and mocked external calls.

• Debug across backend code, API responses, logs, databases and front-end symptoms with support from senior engineers where needed.

• Work closely with front-end developers on Angular integration and help debug integration issues.

• Collaborate with QA on test scenarios, defect reproduction and verification.

• Participate in client feedback and review meetings; understand feedback, capture action items and follow through.

Qualifications

• Bachelor’s or Master's degree in computer science, Software Engineering, Information Technology, or a related discipline.

Essential Skills 

Technical Expertise

• 5+ years of hands-on software development experience in backend or API-oriented applications.

• Strong Python programming skills, ideally with Python 3.10, in backend services or APIoriented applications.

• Hands-on experience with FastAPI and Uvicorn, including route design, validation, dependency injection patterns, async behaviour and logging.

• Working experience with or exposure to BFF layers that adapt backend/domain services for front-end workflows.

• Good understanding of REST APIs, data validation, error handling and service-toservice calls.

• Awareness of Microservice architecture and the trade-offs involved in service design.

• Strong problem-solving and debugging skills across code, APIs, logs and databases.

• A practical testing mindset: unit tests, API tests, mocks/fixtures and regression checks.

• Very good written and verbal communication skills.

• Ability to work independently on assigned tasks and collaborate effectively within a team.

Preferred Skills

• Familiarity in developing software for scientific instruments, laboratory automation, imaging systems, life sciences, healthcare technologies, medical devices, industrial automation, or other hardware-integrated software platforms.

• Familiarity to Angular v.17 front-end frameworks for integration and debugging.

• Familiarity with Docker, Kubernetes, container orchestration, observability, and production monitoring.

• Experience working in regulated or quality-controlled software development environments

Job Description – Data Scientist (Machine Learning & Forecasting)

About the Role

We are looking for a highly skilled Data Scientist with strong expertise in Machine Learning, Traditional Statistical Modelling, Forecasting, and Predictive Analytics. The ideal candidate will have hands-on experience building and deploying end-to-end ML solutions, working with large datasets, and translating business problems into scalable data science solutions.

The role requires a strong foundation in statistics, predictive modelling, feature engineering, model evaluation, and time-series forecasting, along with the ability to collaborate with cross-functional teams to deliver business impact.

Key Responsibilities

• Design, develop, and deploy Machine Learning models for business-critical use cases.
• Build and optimize traditional ML models such as:
• Linear Regression
• Logistic Regression
• Decision Trees
• Random Forest
• Gradient Boosting (XGBoost, LightGBM, CatBoost)
• Support Vector Machines
• Clustering Algorithms
• Develop forecasting solutions using:
• ARIMA / SARIMA
• Prophet
• Exponential Smoothing
• Time-Series Regression Models
• Perform exploratory data analysis (EDA), feature engineering, and data validation.
• Evaluate model performance using appropriate statistical and business metrics.
• Work with structured and semi-structured datasets from multiple sources.
• Collaborate with business stakeholders to understand requirements and translate them into analytical solutions.
• Build scalable data pipelines and support model deployment in production environments.
• Monitor model performance, identify data drift, and implement model retraining strategies.
• Present insights and recommendations to technical and non-technical stakeholders.

Required Skills & Qualifications

• Bachelor's or Master's degree in Computer Science, Statistics, Mathematics, Data Science, Engineering, or a related quantitative field.
• 5+ years of hands-on experience in Data Science, Machine Learning, and Forecasting.

Technical Skills

   Machine Learning

• Strong understanding of supervised and unsupervised learning algorithms.
• Experience with ensemble methods and advanced ML techniques.
• Expertise in model selection, hyperparameter tuning, and performance optimization.

Forecasting & Statistics

• Strong understanding of:
• Time-Series Analysis
• Forecasting Techniques
• Statistical Inference
• Hypothesis Testing
• Probability Distributions
• A/B Testing

Programming

• Advanced proficiency in Python.
• Experience with:
• Pandas
• NumPy
• Scikit-learn
• Statsmodels
• XGBoost / LightGBM
• Prophet

Data & SQL

• Strong SQL skills with experience in complex queries and performance optimization.
• Experience working with large-scale datasets.

Visualization

• Experience with Power BI, Tableau, Matplotlib, Seaborn, or Plotly.
• Cloud & MLOps (Preferred)
• Exposure to AWS, Azure, or GCP.
• Understanding of Docker, Kubernetes, CI/CD, and ML model deployment practices.

Key Competencies

• Strong analytical and problem-solving skills.
• Excellent communication and stakeholder management abilities.
• Ability to work independently in a fast-paced environment.
• Strong business acumen and data-driven decision-making mindset. 

Domain: Automation Testing – Selenium Job Purpose

 • Thought leadership - Consult with the client and setup/guides a team to strategize, design, implement and run automation solution supporting variety of applications

• Technical leadership - Identify, evaluate, recommend, and optimize current automated testing processes and tools

• Define and implement test automation strategy including roadmap, tools, framework, and approach across project teams

• Oversee technological delivery of the recommended automation solution roadmap across project teams

• setting up end to end QA processes across Requirement Analysis, Test Strategy/Design and Test reporting

• Participate in design and architectural reviews of proposed automation solutions across project teams

 • Designing & implementing enterprise-wide QA strategy for variety of clients including complex applications across multiple tech stacks (involving both functional and automation testing)

• Planning, estimating (should be aware of robust models and how to use them) and tracking team’s work

• Status reporting: Track and report upon testing activities, including testing results, test case coverage, required resources, defects discovered and their status etc.

• Mentors/guides the team on technical knowhow

• Adhere to company project standards and guidelines Mandatory Skills & Experience

• 7-11 years of managing team experience and at least 4+ years of in-depth experience in establishing test automation frameworks, evaluating tools, and implementing continuous testing strategy

• Hands on framework development for a Green Field Project

• Strong hands-on experience in Java/JavaScript programming languages; java collection frameworks • Strong experience on QA Automation tools such as Selenium/Cucumber/Appium/SOAPUI etc.

• Strong exposure on UI or API automation, hands on Webservices/Microservices automation

 • Experience in CI/CD tools, such as Gitlab(preferable) / Jenkins

• Experience in Cloud tech preferably AWS

• Experience on Cloud Platforms such as Sauce Labs, Perfecto

• Functional tools like Selenium (mandate), Web driver IO, NightWatchJS, etc

• Should have basic knowledge of JMeter or any other equivalent Performance testing tool

• Sound Knowledge of methodologies and approaches such as Agile, BDD, DevOps etc.

• Industry experience on Financial Services is preferred.

About US Publicis Sapient is a digital transformation partner helping established organizations get to their future, digitally enabled state, both in the way they work and the way they serve their customers. We help unlock value through a start-up mindset and modern methods, fusing strategy, consulting and customer experience with agile engineering and problem-solving creativity. United by our core values and our purpose of helping people thrive in the brave pursuit of next, our 20,000+ people in 53 offices around the world combine experience across technology, data sciences, consulting and customer obsession to accelerate our clients’ businesses through designing the products and services their customers truly value Additional Information

• Gender Neutral Policy

• 18 paid holidays throughout the year for NCR/BLR (22 For Mumbai)

• Generous parental leave and new parent transition program

• Flexible work arrangements • Employee Assistance Programs to help you in wellness and well being

● Generate loan leads from the partnered institutions, open market and through different channels on the field.
● Develop and maintain relationships with partnered institutions and repeat business
and referral/s.
● Arrange and plan events to generate leads, and handle product queries and
service issues in the partnered institutions.
● Meet clients, verify documents, process files, coordinate for sanction /
disbursement of loans, personalized service to clients.
● Ensure the achievement of a given business target in your territory.

Experience: 1year+ in Banking sales such as personal loans, and home loans.

Responsibilities

• Design and implement Azure BI infrastructure, ensure overall quality of delivered solution 
• Develop analytical & reporting tools, promote and drive adoption of developed BI solutions 
• Actively participate in BI community 
• Establish and enforce technical standards and documentation 
• Participate in daily scrums  
• Record progress daily in assigned Devops items 

Ideal Candidates should have

• 5 + years of experience in a similar senior business intelligence development position 
• To be successful in the role you will require a high level of expertise across all facets of the Microsoft BI stack and prior experience in designing and developing well-performing data warehouse solutions 
• Demonstrated experience using development tools such as Azure SQL database, Azure Data Factory, Azure Data Lake, Azure Synapse, and Azure DevOps. 
• Experience with development methodologies including Agile, DevOps, and CICD patterns 
• Strong oral and written communication skills in English 
• Ability and willingness to learn quickly and continuously 
• Bachelor's Degree in computer science 

• 8+ years of hands-on experience in enterprise software development using Java, and J2EE Framework. 
• Experience with http://react.js/">React.js, AngularJS, strong knowledge of JavaScript, CSS, HTML5
• Passion for building enterprise web applications leveraging modern architecture principles, strong prior experience as a full stack developer. 
• Expertise with CSS and building responsive pages, with a keen eye for UI design and usability
• Experience with web-accessibility/WCAG standards
• Experience working collaboratively with a globally distributed team.
• Experience with agile methodologies and good exposure to DevOps/CICD models.
• Passion for keeping up with new trends and developments in the programming community and is eager to find ways to incorporate these new ideas into our codebase.

Job Requirements:

• 3+ years of relevant experience
• Experience in Dynamics 365 CE customization including the development of plugins, workflows, web resources, security, and Portal development.
• JavaScript, jQuery experience.
• CRM API / SDK knowledge and 3rd party solutions integration experience.
• SharePoint integration experience.
• Configuring and customizing D365 CE first-party apps like sales, customer service, Field service.
• Managing Dynamics 365 integration with Azure services.
• D365 certifications