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.

Job Role: Asset Servicing Associate

Job Location: Gurugram (Onsite)

Job Type: Full Time.

Relevant Experience:

• Minimum 6 months experience in asset servicing or corporate actions processing.
• Exposure to dividends, bonuses, rights, mergers, splits, buybacks.
• Experience coordinating with custodians, NSDL/CDSL, brokers.
• Knowledge of entitlement processing and reconciliation

Key Skills:

• Corporate actions lifecycle
• Reconciliation & exception handling
• Excel & MIS reporting
• Documentation & regulatory compliance
• Stakeholder coordination

Job Description:

1.Be a hands on problem solver with consultative approach, who can apply Machine Learning & Deep Learning algorithms to solve business challenges

a. Use the knowledge of wide variety of AI/ML techniques and algorithms to find what combinations of these techniques can best solve the problem

b. Improve Model accuracy to deliver greater business impact

c.Estimate business impact due to deployment of model

2.Work with the domain/customer teams to understand business context , data dictionaries and apply relevant Deep Learning solution for the given business challenge

3.Working with tools and scripts for sufficiently pre-processing the data & feature engineering for model development – Python / R / SQL / Cloud data pipelines

4.Design , develop & deploy Deep learning models using Tensorflow / Pytorch 

5.Experience in using Deep learning models with text, speech, image and video data

a.Design & Develop NLP models for Text Classification, Custom Entity Recognition, Relationship extraction, Text Summarization, Topic Modeling, Reasoning over Knowledge Graphs, Semantic Search using NLP tools like Spacy and opensource Tensorflow, Pytorch, etc

b.Design and develop Image recognition & video analysis models using Deep learning algorithms and open source tools like OpenCV

c.Knowledge of State of the art Deep learning algorithms

6.Optimize and tune Deep Learnings model for best possible accuracy

7.Use visualization tools/modules to be able to explore and analyze outcomes & for Model validation eg: using Power BI / Tableau

8.Work with application teams, in deploying models on cloud as a service or on-prem

a.Deployment of models in Test / Control framework for tracking

b.Build CI/CD pipelines for ML model deployment

9.Integrating AI&ML models with other applications using REST APIs and other connector technologies

10.Constantly upskill and update with the latest techniques and best practices. Write white papers and create demonstrable assets to summarize the AIML work and its impact.

· Technology/Subject Matter Expertise

• Sufficient expertise in machine learning, mathematical and statistical sciences
• Use of versioning & Collaborative tools like Git / Github
• Good understanding of landscape of AI solutions – cloud, GPU based compute, data security and privacy, API gateways, microservices based architecture, big data ingestion, storage and processing, CUDA Programming
• Develop prototype level ideas into a solution that can scale to industrial grade strength
• Ability to quantify & estimate the impact of ML models.

· Softskills Profile

• Curiosity to think in fresh and unique ways with the intent of breaking new ground.
• Must have the ability to share, explain and “sell” their thoughts, processes, ideas and opinions, even outside their own span of control
• Ability to think ahead, and anticipate the needs for solving the problem will be important

·        Ability to communicate key messages effectively, and articulate strong opinions in large forums

· Desirable Experience:

• Keen contributor to open source communities, and communities like Kaggle
• Ability to process Huge amount of Data using Pyspark/Hadoop
• Development & Application of Reinforcement Learning
• Knowledge of Optimization/Genetic Algorithms
• Operationalizing Deep learning model for a customer and understanding nuances of scaling such models in real scenarios
• Optimize and tune deep learning model for best possible accuracy
• Understanding of stream data processing, RPA, edge computing, AR/VR etc
• Appreciation of digital ethics, data privacy will be important
• Experience of working with AI & Cognitive services platforms like Azure ML, IBM Watson, AWS Sagemaker, Google Cloud will all be a big plus
• Experience in platforms like Data robot, Cognitive scale, H2O.AI etc will all be a big plus

Frontend Developer

We are inspiring the next generation of young innovators and entrepreneurs in India. We're an education startup co-founded by a Computer Science grad from MIT/Harvard and the former CEO of Apple India. We started out as code school, offering creative tech boot-camps on topics like Drone Programming, Android App Development, Game Programming, Full-Stack Web Development to k-12 students across the nation, and now we're building web and mobile products to deliver powerful learning experiences to students online, at scale.

Job Description

We are looking for a Front End developer who is excellent with JavaScript (React.js + Redux). Some proficiency with Node.js preferred as you’ll be hooking up your front-ends to APIs and occasionally writing your own.

Your primary focus will be to develop the UI/UX for highly interactive / social / multiplayer learning platform, across the Student Product, Parent Product, Teacher Product, Virtual Classroom, and more.

Responsibilities

• Translating designs and wireframes into high quality React code
• Styling re-usable components with pixel perfection and mobile responsiveness
• Structuring state and information flow across your front-end app using Redux
• Optimizing your code for SEO and maximum performance across a vast array of web-capable devices and browsers

Skills / Required Experience

• 3+ years of hands-on experience with React.js
• 2+ years of hands-on experience with Redux
• Bonus: past experience with Socket.io and WebRTC
• Writing and consuming REST APIs with Node.js 
• A knack for benchmarking and optimization
• Familiarity with modern front-end build pipelines and tools

You'll be involved in the entire product lifecycle including the design, development, deployment, and maintenance of new and existing features. You'll also produce detailed specifications. Your code will be written in a timely and scalable way all while ensuring strong optimization.

• Develop in CRM as per the client and customer requirement
• Develop API integration with banks and NBFc to to transfer specific data.
• Well, understanding of Apache/Nginx servers.
• Well-knowledgeable of GIT.
• Experience working on PostgreSQL databases.
• Experience working in an Agile environment.
• Excellent developer who can interact effectively with businesses to understand product requirements and translate them into scalable and flexible Solutions.
• Work well within a team, take initiative and have clear communication. Ability to communicate challenges and solutions clearly within a team of people.
• Worked with AWS, or other major cloud vendors.
• Some exposure in working with databases, preferably postgres, sql.

What will you do?

• Act as senior level escalation point for technical remediation of incidents and service requests.
• Work as L2 resource in AWS Cloud infrastructure and system administration team providing technical support and resolving issues
• Troubleshoot technical issues faced which could be related to external interfaces, networking, application and Ubuntu configuration, IIS Configuration, Linux Servers etc.
• Resolving urgent and immediate requests by support team in a vibrant and demanding environment.
• Test upgrades and patches from development team prior to client rollout
• Document the Interface testing and other details, update and complete all handovers.
• Coordinate directly with on-site IT, vendors, off-site helpdesks over email or phone calls to complete technical assignments.
• Do audit of new implemented properties for initial few weeks and identify the repeated issues reported by property.

Technical Competencies you’ll possess:

• Strong Linux and Windows Administration skills
• In depth knowledge of the windows servers & Linux servers.
• Good understanding of AWS Cloud Infrastructure, Networking, Firewall, Infrastructure, SQL and IIS Configuration, Ubuntu Configurations and MySQL.
• Working knowledge of interfaces and integrations of systems.
• Enhanced troubleshooting skills.
• Possess a good understanding of Internet based technologies including DNS, Security, IP Routing,- SSH, FTP, HTTP/HTTPS, Email Routing, etc.