Software Architect jobs in India

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• Backend Developer (.Net)| Azure| SQL| Bangalore

  Bangalore Urban

  Temporary

  Qualifications

  • Bachelor's or master's degree in computer science, or a comparable field.
  • 5 to 8 years of experience working in frontend development with web-based applications.
  • Expertise in backend technologies like C#/.NET Core.
  • Expertise in databases (SQL and NoSQL), such as Azure SQL and Cosmos DB.
  • Expertise in Microsoft Azure platform, in particular with Azure App Services, Azure Functions and Azure SQL.
  • Experience with front-end technologies such as JavaScript/TypeScript and Angular.
  • Experience of working in an agile development team (E.g. Scrum).
  • Experience with unit testing, automated testing, and continuous integration/continuous delivery (CI/CD).
  • High degree of personal responsibility and analytical skills to solve complex challenges.
  • Quick thinking, positive attitude, and excellent collaboration skills.
  • Strong motivation and enthusiasm for professional development and visual appealing frontends.
  • Goal and results oriented.
  • Team player and ability to work in a multicultural and multinational environment.
  • Unconventional thinking, creativity, and a willingness to continuously improve.
  • Flexible, adaptable, open to change and the acquisition of new knowledge and skills.

  Job Description:

  • Development and maintenance of our software components of our SaaS product, in particular APIs and microservices.
  • Development and optimization of backend systems in the Microsoft Azure Cloud using Azure App Services, Azure Functions, Azure SQL, and other Azure services.
  • If possible, take over frontend dev tasks as part of a full stack developer.
  • Active participation in code reviews, ensuring unit tests and fixing bugs to ensure high code quality and stability.
  • Working closely with the development team, the product owner, and the DevOps team in an agile environment.
  • Ensure clean technical documentation for all developed features and APIs.

  Job location: Bengaluru, India

  • Competetive Salary
  • PF and Gratuity

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• Opportunity | Data Scientist | Global Lifestyle Fashion Brand

  Gurgaon

  Permanent

  INR20 - INR30 per year

  Data Scientist support team and Global operations. The ideal candidate will be responsible for developing and maintaining dashboards, analysing data patterns, and forecasting business trends to drive data-based decision-making.

  • Global Presence
  • Growth Opportunties

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• Senior Data Scientist

  Gurgaon

  Temporary

  Job RequirementsEducation
  
  * Bachelor's degree required, preferably with a quantitative focus (Statistics, Business Analytics, Data Science, Math, Economics, etc.)
  
  * Master's degree preferred (MBA/MS Computer Science/M.Tech Computer Science, etc.)Relevant Experience
  
  * 5 - 7 years for Data Scientist
  
  * Relevant working experience in a data science/advanced analytics roleBehavioural Skills
  
  * Delivery Excellence
  
  * Business disposition
  
  * Social intelligence
  
  * Innovation and agilityExperience
  
  * Functional Analytics (Supply chain analytics, Marketing Analytics, Customer Analytics, etc.)
  
  * Statistical modelling using Analytical tools (R, Python, KNIME, etc.)
  
  * Knowledge of statistics and experimental design (A/B testing, hypothesis testing, causal inference)
  
  * Practical experience building scalable ML models, feature engineering, model evaluation metrics, and statistical inference.
  
  * Practical experience deploying models using MLOps tools and practices (e.g., MLflow, DVC, Docker, etc.)
  
  * Strong coding proficiency in Python (Pandas, Scikit-learn, PyTorch/TensorFlow, etc.)
  
  * Big data technologies & framework (AWS, Azure, GCP, Hadoop, Spark, etc.)
  
  * Enterprise reporting systems, relational (MySQL, Microsoft SQL Server etc.), non-relational (MongoDB, DynamoDB) database management systems and Data Engineering tools
  
  * Business intelligence & reporting (Power BI, Tableau, Alteryx, etc.)
  
  * Microsoft Office applications (MS Excel, etc.)Roles & Responsibilities
  
  Analytics & Strategy
  
  1. Analyse large-scale structured and unstructured data; develop deep-dive analyses and machine learning models in retail, marketing, merchandising, and other areas of the business
  
  2. Utilize data mining, statistical and machine learning techniques to derive business value from store, product, operations, financial, and customer transactional data
  
  3. Apply multiple algorithms or architectures and recommend the best model with in-depth description to evangelize data-driven business decisions
  
  4. Utilize cloud setup to extract processed data for statistical modelling and big data analysis, and visualization tools to represent large sets of time series/cross-sectional dataOperational Excellence
  
  1. Follow industry standards in coding solutions and follow programming life cycle to ensure standard practices across the project
  
  2. Structure hypothesis, build thoughtful analyses, develop underlying data models and bring clarity to previously undefined problems
  
  3. Partner with Data Engineering to build, design and maintain core data infrastructure, pipelines and data workflows to automate dashboards and analysesStakeholder Engagement
  
  1. Working collaboratively across multiple sets of stakeholders - Business functions, Data Engineers, Data Visualization experts to deliver on project deliverables
  
  2. Articulate complex data science models to business teams and present the insights in easily understandable and innovative formats

  • Competetive Salary
  • PF and Gratuity

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• Machine Learning Engineer

  Gurgaon

  Temporary

  Position:
  
  ML EngineerJob type:
  
  Techno-FunctionalPreferred education qualifications:
  
  Bachelor/ Master's degree in computer science, Data Science, Machine Learning OR related technical degreeJob location:
  
  IndiaGeography:
  
  SAPMENARequired experience:
  
  6-8 YearsPreferred profile/ skills:
  
  

  • 5+ years in developing and deploying enterprise-scale ML solutions
  • [Mandatory] Proven track record in data analysis (EDA, profiling, sampling), data engineering (wrangling, storage, pipelines, orchestration),
  • [Mandatory] Proficiency in Data Science/ML algorithms such as regression, classification, clustering, decision trees, random forest, gradient boosting, recommendation, dimensionality reduction
  • [Mandatory] Experience in ML algorithms such as ARIMA, Prophet, Random Forests, and Gradient Boosting algorithms (XGBoost, LightGBM, CatBoost)
  • [Mandatory] Prior experience on MLOps with Kubeflow or TFX
  • [Mandatory] Experience in model explainability with Shapley plot and data drift detection metrics.
  • [Mandatory] Advanced programming skills with Python and SQL
  • [Mandatory] Prior experience on building scalable ML pipelines & deploying ML models on Google Cloud
  • [Mandatory] Proven expertise in ML pipeline optimization and monitoring the model's performance over time
  • [Mandatory] Proficiency in version control systems such as GitHub
  • Experience with feature engineering optimization and ML model fine tuning is preferred
  • Google Cloud Machine Learning certifications will be a big plus
  • Experience in Beauty or Retail/FMCG industry is preferred
  • Experience in training with large volume of data (>100 GB)
  • Experience in delivering AI-ML projects using Agile methodologies is preferred
  • Proven ability to effectively communicate technical concepts and results to technical & business audiences in a comprehensive manner
  • Proven ability to work proactively and independently to address product requirements and design optimal solutions
  • Fluency in English, strong communication and organizational capabilities; and ability to work in a matrix/ multidisciplinary team

  Job objectives:
  
  Design, develop, deploy, and maintain data science and machine learning solutions to meet enterprise goals. Collaborate with product managers, data scientists & analysts to identify innovative & optimal machine learning solutions that leverage data to meet business goals. Contribute to development, rollout and onboarding of data scientists and ML use-cases to enterprise wide MLOps framework. Scale the proven ML use-cases across the SAPMENA region. Be responsible for optimal ML costs.Job description:
  
  

  • Deep understanding of business/functional needs, problem statements and objectives/success criteria
  • Collaborate with internal and external stakeholders including business, data scientists, project and partners teams in translating business and functional needs into ML problem statements and specific deliverables
  • Develop best-fit end-to-end ML solutions including but not limited to algorithms, models, pipelines, training, inference, testing, performance tuning, deployments
  • Review MVP implementations, provide recommendations and ensure ML best practices and guidelines are followed
  • Act as 'Owner' of end-to-end machine learning systems and their scaling
  • Translate machine learning algorithms into production-level code with distributed training, custom containers and optimal model serving
  • Industrialize end-to-end MLOps life cycle management activities including model registry, pipelines, experiments, feature store, CI-CD-CT-CE with Kubeflow/TFX
  • Accountable for creating, monitoring drifts leveraging continuous evaluation tools and optimizing performance and overall costs
  • Evaluate, establish guidelines, and lead transformation with emerging technologies and practices for Data Science, ML, MLOps, Data Ops

  • Competetive Salary
  • PF and Gratuity

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• Chief of Staff

  Gurgaon

  Permanent

  Hiring for a PE-Backed Portfolio Company - a cloud-first, omnichannel retail ERP suite provider headquartered in Gurgaon.

  • Opportunity to play a critical strategic and operational role
  • Work with C-level leadership and chance to interact with the investing team

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