Content writer

Job Summary

We are looking for a skilled .NET Full Stack Developer with strong experience in Windows-based applications, backend services, web APIs, Angular frontend, SQL Server, and reporting tools.

The ideal candidate will be responsible for developing, enhancing, and maintaining enterprise-grade applications, ensuring performance, scalability, and reliability across systems.

Key Responsibilities

Application Development & Maintenance

• Design, develop, and maintain WinForms, Web, and Service-based applications using C# and .NET technologies.
• Develop and consume RESTful Web APIs and integrate them with Angular and other frontend applications.
• Maintain and enhance legacy ASP.NET Web Forms / MVC applications.

Backend & Services

• Develop Web Services (REST/SOAP), WCF services, and Windows Services.
• Implement secure, scalable, and high-performance backend components.

Frontend Development

• Develop responsive UI using Angular / AngularJS.
• Collaborate with backend teams to integrate APIs and handle UI performance.

Database & Performance

• Design and optimize SQL Server objects:
• Stored Procedures
• Functions
• Views
• Perform query optimization, indexing, and performance tuning.

Reporting & Analytics

• Design and develop reports using:
• RDLC Reports
• RDL / SSRS Reports
• Crystal Reports

Deployment & Tools

• Deploy applications on IIS (Web Apps, APIs, Services).
• Use Git for source control and follow versioning best practices.
• Work with Visual Studio / VS Code for development and debugging.

Mandatory Skill Set (Must-Have for Screening)

Core Mandatory Skills

• VB.Net, C# with .NET Framework (4.x) 
• Strong hands-on experience in WinForms application development (UI design, events, data binding, performance handling)
• ASP.NET Web API (REST)
• SQL Server with strong Stored Procedure & Query Optimization skills
• Angular (any recent version) OR AngularJS with real project experience
• Reporting experience using RDLC / RDL / Crystal Reports

Hands-on IIS deployment experience

Managing Social media Accounts

Posting on Social Media accounts

Making suggestions for creative ad campaigns and templates.

Can track data and analyze the performance of social media campaigns.

Job Summary

As a Data Science Lead, you will manage multiple consulting projects of varying complexity and ensure on-time and on-budget delivery for clients. You will lead a team of data scientists and collaborate across cross-functional groups, while contributing to new business development, supporting strategic business decisions and maintaining & strengthening client base

1. Work with team to define business requirements, come up with analytical solution and deliver the solution with specific focus on Big Picture to drive robustness of the solution
2. Work with teams of smart collaborators. Be responsible for their appraisals and career development.
3. Participate and lead executive presentations with client leadership stakeholders.
4. Be part of an inclusive and open environment. A culture where making mistakes and learning from them is part of life
5. See how your work contributes to building an organization and be able to drive Org level initiatives that will challenge and grow your capabilities.

​​​​​​Role & Responsibilities

1. Serve as expert in Data Science, build framework to develop Production level DS/AI models.
2. Apply AI research and ML models to accelerate business innovation and solve impactful business problems for our clients.
3. Lead multiple teams across clients ensuring quality and timely outcomes on all projects.
4. Lead and manage the onsite-offshore relation, at the same time adding value to the client.
5. Partner with business and technical stakeholders to translate challenging business problems into state-of-the-art data science solutions.
6. Build a winning team focused on client success. Help team members build lasting career in data science and create a constant learning/development environment.
7. Present results, insights, and recommendations to senior management with an emphasis on the business impact.
8. Build engaging rapport with client leadership through relevant conversations and genuine business recommendations that impact the growth and profitability of the organization.
9. Lead or contribute to org level initiatives to build the Tredence of tomorrow.

Qualification & Experience

1. Bachelor's /Master's /PhD degree in a quantitative field (CS, Machine learning, Mathematics, Statistics, Data Science) or equivalent experience.
2. 6-10+ years of experience in data science, building hands-on ML models
3. Expertise in ML – Regression, Classification, Clustering, Time Series Modeling, Graph Network, Recommender System, Bayesian modeling, Deep learning, Computer Vision, NLP/NLU, Reinforcement learning, Federated Learning, Meta Learning.
4. Proficient in some or all of the following techniques: Linear & Logistic Regression, Decision Trees, Random Forests, K-Nearest Neighbors, Support Vector Machines ANOVA , Principal Component Analysis, Gradient Boosted Trees, ANN, CNN, RNN, Transformers.
5. Knowledge of programming languages SQL, Python/ R, Spark.
6. Expertise in ML frameworks and libraries (TensorFlow, Keras, PyTorch).
7. Experience with cloud computing services (AWS, GCP or Azure)
8. Expert in Statistical Modelling & Algorithms E.g. Hypothesis testing, Sample size estimation, A/B testing
9. Knowledge in Mathematical programming – Linear Programming, Mixed Integer Programming etc , Stochastic Modelling – Markov chains, Monte Carlo, Stochastic Simulation, Queuing Models.
10. Experience with Optimization Solvers (Gurobi, Cplex) and Algebraic programming Languages(PulP)
11. Knowledge in GPU code optimization, Spark MLlib Optimization.
12. Familiarity to deploy and monitor ML models in production, delivering data products to end-users.
13. Experience with ML CI/CD pipelines.

• Manage & own city P&L and customer satisfaction metrics
• Responsible for managing city team across sales, procurement, and refurbishment functions
• Maintain desired profitability and sales velocity
• Provide inputs and insights to product and marketing teams Candidate should have:
• Experience in managing a P&L in a fast-growing start-up environment
• Team management & scaling experience
• Strong customer focus and analytical abilities