11+ XGBoost Jobs in Delhi, NCR and Gurgaon | XGBoost Job openings in Delhi, NCR and Gurgaon

Job Description:

1.     Machine Learning Development & Deployment

·      Design and implement supervised and unsupervised models for predictive analytics, including churn prediction, demand forecasting, renewal risk scoring, and cross sell/upsell opportunity identification.

·      Translate business problems into ML frameworks and production solutions that improve efficiency, revenue, or customer experience.

·      Build, optimize, and maintain ML pipelines using tools such as MLflow, Airflow, or Kubeflow.

2.     Cross-Functional ML Use Cases

·      Partner with teams across Sales (e.g., lead scoring, next-best action), Customer Service (e.g., case deflection, sentiment analysis), Finance (e.g., revenue forecasting, fraud detection), Supply Chain (e.g., inventory optimization, ETA prediction), and Order Fulfillment (e.g., delivery risk modeling) to define impactful ML use cases.

·      Develop domain-specific models and continuously improve them using feedback loops and real-world performance data. 3.

3.      Model Governance and MLOps

·      Ensure robust model monitoring, versioning, and retraining strategies to keep models reliable in dynamic environments.

·      Work closely with DevOps and Data Engineering teams to automate deployment, CI/CD workflows, and cloud-native ML infrastructure (AWS/GCP/Azure).

4. Data Engineering and Feature Architecture

·      Collaborate with data engineers to define feature stores, data quality checks, and model-ready datasets on platforms like Snowflake or Databricks.

·      Perform feature selection, transformation, and engineering aligned with each domain’s business logic. 5. Communication & Stakeholder Collaboration

·      Present technical insights and model results to business and executive stakeholders in a clear, actionable format.

·      Work with Product Owners and Program Managers to scope, prioritize, and plan delivery of ML projects.

Qualifications:

Required

• Bachelor’s or Master’s degree in (e.g., Computer Science, Engineering, Statistics, Mathematics)

• 4+ years of experience in machine learning, data science.

• Proficiency in Python, XGBoost, PyTorch, TensorFlow, or similar.

• Experience deploying models into production using ML pipelines and orchestration frameworks.

• Strong understanding of data structures, SQL, and cloud platforms (e.g., AWS SageMaker, Azure ML, or GCP Vertex AI).

• Hands-on experience in implementing machine learning algorithms such as Random Forest, XGBoost, Logistic Regression, and Deep Learning techniques including Neural Networks (ANN, CNN)

Preferred:

• Experience supporting business functions such as Finance, Sales, or Operations with ML use cases.

• Familiarity with MLOps tools (MLflow, SageMaker Pipelines, Feature Store).

• Exposure to enterprise data platforms (e.g., Snowflake, Oracle Fusion, Salesforce).

• Background in statistics, forecasting, optimization, or recommendation systems.

Sitecore Developer

Work From Office

Locations: Bangalore, Hyderabad, Noida, Gurgaon

Exp:  4 exp (relevant)

Notice Period: 15 days (Preferred Immediate joiners)

• B.E/B.Tech
• PG in Management from top tier institutes
• 0-2 years of pre-MBA experience in data analysis or technology field
• High organizational and communication skills, both written and verbal
• Excellent problem-solving and analysis skills
• Ability to contribute positively to team culture and morale
• Proficiency in Microsoft Office/ GSuite Tools
• A can-do attitude, and willingness to take initiative

Soft Skill:

• Self-driven, Motivated, Hardworking, Proactive, Good communication skill and documentation skill, should have experience in gathering business requirement and documentation. Should be a team player

Technical Skills:

• A must:- ASP.Net MVC, JavaScript, jQuery, Windows Azure, SQL Server, PL/SQL, ASP.NET using C# - SD [Primary], API creation PL SQL, Azure
• Desirable: - Knowledge on MVC dot net core

- Ensure reliability and efficiency of both large-scale cloud systems and business-operations

- Build and manage systems, infrastructure and applications through automation

- Develop and maintain CI/CD pipeline

- Build/Maintain alerting and monitoring service

- Automate all manual operations work

- Strong experience of AWS ecosystem

- Good working experience in python

- Experience in CI/CD tools like Jenkins

- Experience with Infrastructure automation tools like salt stack or chef is a plus

- Minimum 4 Years of work experience in Site Reliability.

- Extensive experience in supporting production Internet services

- Systematic problem-solving approach, coupled with effective communication skills and a sense of drive

Here is what we are looking for:

- 1+ years of relevant experience
- Working knowledge with Manual testing, Mobile app testing, Web Testing, api testing, DB Queries.

- Knowledge of tools like Postman, SoapUI, Appium/Android Espresso, JMeter, etc.
- Plan and execute Functional, Security, and Performance testing multiple product lines (Mobile & Web).
- Experience with Web service technology like REST, XML/SOAP.
- Good understanding of Build, Deployment, Continuous Integration/Delivery process.
- Ability to thrive in a dynamic and fast-changing environment.
- Excellent written, oral communication skills and collaboration skills.

Roles & Responsibilities: 

· Accelerate customer adoption by identifying specific customer segments and industry verticals in West to approach with a value proposition for using Amazon web services platform. 

· Develop long-term strategic relationships with key companies at the C-levels of Business & IT 

· Work closely with the Channels team to ensure that AWS platform is the partner's preferred cloud computing platform across all service lines. 

· Maintain an accurate forecast and various business reports. 

· Create & articulate compelling value propositions around AWS services. 

· Possess the technical ability to explain (not implement) Cloud Computing, infrastructure solutions (Server, Storage, DC Services) & Internet architectures (firewalls, load balancers, etc). 

· Prepare and give business reviews to the senior management team. 

· Ensure customer satisfaction.

Basic Qualifications

The right person will possess 10-15 years of experience in IT sales 

· Direct field & management experience in working with enterprise accounts. 

· Would have consistently exceeded key performance metrics. 

· Demonstrated ability to engage and influence C-level executives. 

· Strong presentation skills and the ability to articulate complex concepts to cross-functional audiences. 

· Strong technical competencies in the areas of cloud computing, SOA, web services and enterprise software. 

· Strong verbal and written communications skills are a must, as well as the ability to work effectively across internal and external organizations.

Preferred Qualifications

Minimum Qualification 

BA/BS 

Engineer/MBA Preferred