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.

About the Role

We are looking for a Senior Backend Engineer to join our core engineering team and help build high-

throughput, low-latency services that power real-time trading at scale. What We’re Looking For

You are someone who has built backend systems in a regulated, high-stakes environment — ideally fintech, brokerage, payments, or banking. You think in terms of system reliability, data correctness, and operational

excellence. You take ownership of services end-to-end: from design and implementation through deployment, monitoring, and incident response. You communicate clearly, make pragmatic trade-offs, and hold yourself and

your peers to a high engineering bar. What You’ll Do

• Design, build, and own backend microservices for a real-time trading platform — from API contracts

through to production observability. • Work with databases, caches, and event-driven architectures to ensure high availability and data

consistency across distributed systems. • Build integrations with third-party financial services — clearing, settlement, identity verification, and

payment rails. • Define and enforce engineering standards — code reviews, testing strategies, API design conventions, and incident response processes. • Collaborate with product, design, and cross-functional teams to translate business requirements into

well-scoped technical deliverables. • Participate in on-call rotations and own production reliability for the services you build. • Mentor junior engineers and contribute to a culture of technical excellence and continuous improvement. Must-Have

• 5+ years backend engineering experience with Golang and Java in production. • Strong experience with PostgreSQL, Redis, and event-driven messaging (Kafka, NATS, or RabbitMQ). • Experience building and maintaining REST/gRPC APIs at scale with proper error handling, rate limiting, and versioning. • Understanding of financial systems — ledgers, reconciliation, order lifecycle, or payment processing.

• Experience with microservices architecture, API gateways, and service-to-service communication

patterns. • Familiarity with CI/CD pipelines, containerization (Docker/Kubernetes), and cloud infrastructure (AWS or

GCP). • Strong debugging and incident-response skills in distributed systems. Nice-to-Have

• Prior experience at a brokerage, wealth-tech, neo-bank, or payments company. • Experience with clearing broker integrations or introducing broker models. • Knowledge of compliance and regulatory requirements for cross-border financial products. • Experience with search infrastructure (Typesense, Elasticsearch). • Background in performance engineering — profiling, load testing, and latency optimization. Tech Stack

Languages Golang (primary), Java; Python (analytics/scripting)

Databases PostgreSQL, Redis, Typesense

Messaging Kafka, NATS, SSE / WebSocket

Infrastructure Docker, Kubernetes, AWS/GCP, Terraform

Integrations Clearing broker APIs, KYC providers, payment gateways

Observability Datadog / Grafana, PagerDuty, structured logging (ELK)

Job Role: Teamcenter Admin

• Teamcenter and CAD (NX) Configuration Management

• Advanced debugging and root-cause analysis beyond L2

• Code fixes and minor defect remediation

• AWS knowledge, which is foundational to our Teamcenter architecture

• Experience supporting weekend and holiday code deployments

• Operational administration (break/fix, handle ticket escalations, problem management

• Support for project activities

• Deployment and code release support

• Hypercare support following deployment, which is expected to onboard approximately 1,000+ additional users

Who Are We

A research-oriented company with expertise in computer vision and artificial intelligence, at its core, Orbo is a comprehensive platform of AI-based visual enhancement stack. This way, companies can find a suitable product as per their need where deep learning powered technology can automatically improve their Imagery.

ORBO's solutions are helping BFSI, beauty and personal care digital transformation and Ecommerce image retouching industries in multiple ways.

WHY US

• Join top AI company
• Grow with your best companions
• Continuous pursuit of excellence, equality, respect
• Competitive compensation and benefits

You'll be a part of the core team and will be working directly with the founders in building and iterating upon the core products that make cameras intelligent and images more informative.

To learn more about how we work, please check out

https://www.orbo.ai/.

Description:

We are looking for a computer vision engineer to lead our team in developing a factory floor analytics SaaS product. This would be a fast-paced role and the person will get an opportunity to develop an industrial grade solution from concept to deployment.

Responsibilities:

• Research and develop computer vision solutions for industries (BFSI, Beauty and personal care, E-commerce, Defence etc.)
• Lead a team of ML engineers in developing an industrial AI product from scratch
• Setup end-end Deep Learning pipeline for data ingestion, preparation, model training, validation and deployment
• Tune the models to achieve high accuracy rates and minimum latency
• Deploying developed computer vision models on edge devices after optimization to meet customer requirements

Requirements:

• Bachelor’s degree
• Understanding about depth and breadth of computer vision and deep learning algorithms.
• 4+ years of industrial experience in computer vision and/or deep learning
• Experience in taking an AI product from scratch to commercial deployment.
• Experience in Image enhancement, object detection, image segmentation, image classification algorithms
• Experience in deployment with OpenVINO, ONNXruntime and TensorRT
• Experience in deploying computer vision solutions on edge devices such as Intel Movidius and Nvidia Jetson
• Experience with any machine/deep learning frameworks like Tensorflow, and PyTorch.
• Proficient understanding of code versioning tools, such as Git

Our perfect candidate is someone that:

• is proactive and an independent problem solver
• is a constant learner. We are a fast growing start-up. We want you to grow with us!
• is a team player and good communicator

What We Offer:

• You will have fun working with a fast-paced team on a product that can impact the business model of E-commerce and BFSI industries. As the team is small, you will easily be able to see a direct impact of what you build on our customers (Trust us - it is extremely fulfilling!)
• You will be in charge of what you build and be an integral part of the product development process
• Technical and financial growth!

Role: QA Manager

Location : HYD, BLR, NCR

Hybrid Mode - WFO – 3 days

Experience: 8+ years (with 3+ years in a QA leadership role)

Required Skills:

• 8+ years of QA experience, with deep exposure to Oracle EBS (11i/R12) modules.
• Solid knowledge of testing methodologies and test automation tools (e.g., Oracle ATS, Selenium, or UFT).
• Experience with QA processes for Oracle EBS customizations, interfaces, workflows, and concurrent programs.
• Hands-on experience with test management tools (e.g., HP ALM, JIRA, Zephyr).
• Strong understanding of ERP processes (Finance, SCM, HR).
• Excellent communication, stakeholder management, and leadership skills.

Key Responsibilities:

• Lead end-to-end QA strategy, planning, execution, and reporting for Oracle EBS modules.
• Manage a team of QA engineers (manual and automation) across multiple projects/releases.
• Collaborate with functional, development, and business teams to define test requirements.
• Develop test plans, test scripts, and automation strategies for Oracle EBS applications.
• Oversee defect tracking, resolution, and root cause analysis.
• Ensure quality and compliance with SOX, ITGC, and other regulatory standards.
• Support testing during Oracle patches, upgrades, and integrations.

Job description

Role Overview:

We are actively seeking a skilled and experienced Senior .NET Developer with proficiency in Dot Net, MySQL, Dot Net

MVC. The ideal candidate should have 5-7 years of relevant experience in .NET development. As a Senior .NET

Developer, you will be instrumental in designing, developing, and maintaining high-quality software solutions.

Responsibilities:

• Design and develop robust and scalable .NET-based applications.

• Collaborate with cross-functional teams to gather project requirements and specifications.

• Implement best practices in coding, security, and performance optimization.

• Utilize your expertise in MySQL database management.

• Troubleshoot, debug, and resolve software defects and issues.

• Stay updated with the latest industry trends and technologies.

Qualifications:

• M Tech/ B Tech/ BE/ MCA/ MS in Computer Science, Information Technology, or equivalent.

• The degree must be obtained through a regular on-campus program from a recognized university.

• Proven experience as a .NET Developer with 5-9 years of relevant work experience.

• Strong proficiency in Dot Net and MVC architecture.

• Experience with MySQL database management.

• Knowledge of front-end technologies such as HTML, CSS, and JavaScript.

Skills:

• .NET, MySQL, MVC

• HTML, CSS, JavaScript (desired)

Knowledge about Autocad, solid works, Revit, Staad pro,

and mechanical software,

Qualification: B.tech, Diploma

Espresso Technologies Pvt. Ltd. Is looking for a Shopify & Woo Commerce Developer, with 2 - 5 years of work experience, developing e-commerce websites on Shopify & WooCommerce mandatorily and Megento optionally.

As a Shopify & WooCommerce Developer, you will be expected to create & maintain Espresso's e-commerce client websites.

Responsibilities

• Act as a Shopify expert, specializing in all facets of the ecommerce platform.
• Designing and implementing new features and functionality
• Ensuring high-performance and availability, and managing all technical aspects of the CMS such as WordPress+WooCommerce.
• Extending Shopify’s functionalities to next level using storefront APIs, liquid programming, meta fields, etc
• Setting up payment integration, shipping methods and taxes in Shopify platform
• Page speed optimization of Shopify + WooCommerce sites
• Thoroughly QA work prior to submission

Skills Required

• Strong hands to Install & Customize new Shopify theme
• Strong hands to Install & Customize new WooCommerce theme
• Demonstrated ability to code in Shopify Liquid, HTML/ CSS, JavaScript, jQuery.
• Proficiency in PHP/MYSQL
• A thorough understanding of cross-browser compatibility issues
• Understanding of and experience in the latest headless ecommerce technologies such as JAMSTACK, Gatsby etc.
• Knowledge in other e-commerce platform like Magento & BigCommerce will be a bonus.
• Excellent knowledge in code versioning best practices (Git) and takes pride in proper code hygiene
• Great attention to detail and be highly organized
• Ability to work methodically and meet deadlines
• Shopify Certification (preferred)

Espresso Tech, which does business as The Thrust, takes offline retailers, online. The main focus area is on the 4 L's of any e-commerce business.

• Landing Page - Website Development
• Lead Generation - Digital Marketing
• Logistics - Vendor and Shipping Management
• Ledger - Accounting & Compliances