11+ Logistic regression Jobs in Delhi, NCR and Gurgaon | Logistic regression 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.

• Identify, Collate and translate user requirements.
• Define objectives and goals to be achieved by technical solution.
• Identify possible Solutions.
• Manage and Coordinate with solution provider for setup and installation of technical systems, applications, or process designed for business process solutions.
• Troubleshoot functionality of configured systems.
• Identify and document technical issues and feedback to be escalated to vendor for resolution and process improvements.
• Work as trainer and support directly to user onsite or remotely.
• Act as a bridge between SGRL users and technical solution provider during and after Implementation.

• Translate business requirements into Technical Functional Designs.
• Identify available solutions and arrange Demos.
• Arrange technical and commercial negotiations for selected solution.
• Plan deployment of solution including test Plan development and execution.
• Provide training and end-user support during and after the implementation process.
• Ensure delivery of documented user requirement with the software provider.

• Business Analysis Skills
• Analytical skills and attention to detail in written documentation
• Quick Learner / Grasping skills
• Strategic thinker with the ability to motivate and drive tactical execution.
• Creative problem solver, capable of developing innovative and differentiated solutions.
• Strong Oral and written communication and presentation skills with a keen eye for details.
• Proficient in Microsoft Word, Excel, PowerPoint, SQL and Scripting.
• Organizational skills and time management
• Language – English and Hindi

• Oracle 10 and above
• Jasper
• BI platform

Candidate with Advanced Skills can expect good salary commensurate with industry standards.

Delhi

Remote Work: Work from Home shall be acceptable till the pandemic is over. Visit to office, as and when informed by HR or reporting manager, is expected.

About the Role

We are seeking a passionate and skilled Java + Kotlin Developer to join our growing engineering team. You’ll be responsible for building scalable backend systems and modern Kotlin-based applications, with opportunities to work on both Android and server-side development.

What You'll Do

• Develop and maintain robust backend services using Java and Spring Boot
• Design and implement modern applications using Kotlin (Android or Multiplatform)
• Work on APIs, microservices, and system integrations
• Collaborate with cross-functional teams in an Agile environment
• Write clean, maintainable, and testable code

Key Requirements

• 3+ years of hands-on experience with Java and Kotlin
• Strong grasp of Spring Boot, REST APIs, and microservices architecture
• Experience with Android Development or Kotlin on JVM
• Familiar with Git, Gradle, and CI/CD tools
• Bonus: Experience with Jetpack Compose, Kotlin Coroutines, or Kotlin Multiplatform

Good to Have

• Familiarity with cloud platforms like AWS / GCP
• Knowledge of Docker, Kubernetes, or DevOps practices
• Previous experience in a startup or fast-paced product environment

About Company:

Our client is a leading investment bank with strong practices around M&A, PE, Capital Markets, Institutional Equities, Wealth Management, Insurance Broking, and Portfolio Management Services.

Job Description

• Empanel distributors to sell the investment management schemes
• Generate sales as per targets laid down through a judicious mix of external channel partners, internal sales channel, and direct clients, as outlined.
• Handling channel and client queries

Strategy Planning

• Achieve set targets through designed strategy
• Keep monitoring & review strategy on ongoing basis

Internal Coordination

• Liaising with senior management to arrive at clear objectives for the department
• Resource planning
• Liaising with investment teams to enable client interaction & information
• Liaising with operations and ensure smooth functioning between department & operations.
• Ensure proper compliance with respect to all channel partners - distributors / clients etc.

Compliance

• Ensure all activities is as per proper compliance internally and as per regulatory

Requirements

• Ensure all distributor agreements / client documentation has met with all regulatory & compliance requirements on an ongoing basis.

Requirements

Sales, Client Servicing, New client acquisition

Experience – 8 – 10 years

Location - NCR

Roles and Responsibilities:

System Analyst

The individual in this role will gather, document, and analyze client functional, transactional, and insurance business requirements across all insurance functions and third-party integrations. System Analyst will also work within a cross-functional project team to provide business analytical support and leadership from the business side.  The individual will play a highly visible, client-facing, and the consultative role and have the ability to offer system solutions to enhance client implementations and transform client workflow and business processes. Individual should be very good in mapping business functions / attributes with the Insurance rules and data.

Skills Required:

• A successful candidate in this role must:
• Good hands-on skills in Oracle, PL/SQL, TSQL
• Object oriented knowledge should be good
• Have Functional knowledge on P & C
• Overall Tech - 60% and Functional - 40%

Primary Skills:

• Good Data Mapping knowledge, RDBMS / SQL Knowledge

Secondary Skills:

• Oracle Big+

JOB DESCRIPTION – Technical Support 

Educational Qualification: Bachelor’s / Masters, CCNA Certification Experience: Fresher / 1 Year 

Job Location: Delhi (Posist Head Office) 

About Posist Technologies: 

Posist (www.posist.com) is a B4B (Business-for-Business) company partnering with global restaurant chains in their digital transformation via its restaurant technology platform. It allows restaurant operators to automate operations, delight guests, grow revenues, and become prosperous. Posist powers 10,000+ restaurants in 50+ countries. Headquartered in New Delhi, Posist has a global presence spread across the US, UAE, Singapore, Thailand, UK, and Mexico.
 

Responsibilities: 

• Taking Client queries over Call / Email / Chat 
• Resolve the tickets via Call / Email / Chat/ Remote tools 
• Register Client queries in Ticketing Tool. 
• Follow-up with clients and with internal teams. 
• Resolve the issue within the SLA and Company guidelines. 
• Escalate the ticket to the respective team and follow-up. 
• Resolve the tickets related to Printers, Cash Drawer, networking and Posist product. ● Sending updates to clients related to reported queries. 
• Working in Rotational Shifts. 
• Creating troubleshooting documents. 
•  

Skills Required: 

• Good Communicable skills. 
• Should be able to work in 24*7 environment, Rotational Shifts (weekly offs will be there)
•  Practical knowledge of Hardware, network troubleshooting, Printer Installation (USB and network) 
• Good Decision making skills 
• Multitasking 
• Willing to work Cross teams 
• Should be a Team player 
• Should have Knowledge of Remote Tools 
• Good Skills to adapt any Software tool. 
• Documentation Skills is an add on.