11+ Logistic regression Jobs in Chennai | Logistic regression Job openings in Chennai

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.

An Interior Design Executive is a sales professional who generates leads, qualifies customers, and closes sales for interior design services primarily through phone and digital communication. This role involves understanding customer requirements, providing company and product information, building rapport, and coordinating with sales and design teams. Key responsibilities include lead generation, client engagement, and CRM maintenance, often requiring experience in sales, especially within the interior design or related fields.

Core responsibilities

Lead generation: Proactively making outbound calls and responding to inbound inquiries to identify and qualify potential clients.

Client engagement: Acting as the first point of contact, understanding client needs, and providing detailed information about design services and pricing.

Sales support: Collaborating with interior designers and sales teams to develop solutions and present proposals to clients.

Customer relationship management: Maintaining detailed lead data in a CRM system and ensuring timely follow-ups.

Internal coordination: Working with other teams to address customer requests and provide feedback on marketing efforts.

Required qualifications

Experience: Previous experience in sales, particularly telesales or inside sales, is often required. Experience in the interior design, real estate, or modular furniture industries is preferred.

Skills: Strong communication and interpersonal skills, the ability to build rapport, and a track record of achieving sales targets are essential.

Technical proficiency: Experience with Microsoft Office Suite (Excel, Word, PowerPoint) and CRM software is common.

Other: Some roles may require knowledge of interior design trends and concepts, though this is often a plus rather than a strict requirement.

Skills: Python,robot Framework,Automation Testing,Selenium

1. B.E/B.Tech Degree from a reputed institution with at least 4 years of relevant experience.
2. Hands-on experience with test automation using Python or Java.
3. Experience with test frameworks such as Robot Framework or TestNG.
4. Traffic generation tools usage such as curl-loader or JMeter.
5. QA engineers for Networking Technology products such as switches, routers, L4-L7 products testing can also apply.
6. Knowledge of public clouds, AWS, Azure or GCP, is desired.
7. Working knowledge in Kubernetes, Docker or Openshift environments required.
8. Hands on experience with Linux.
9. Strong problem solving and debugging abilities.
10. Familiarity with continuous integration tools such as Jenkins or CircleCI.
11. Interest in machine learning (ML) and data science is a plus.

Job Summary:

We are seeking a skilled and visionary UI/UX Designer with a minimum of 3 to 9 years of experience in SaaS companies and a strong background in Product Design. As the senior UI/UX Designer, you will be responsible for leading our design team and driving the creation of exceptional user experiences for our SaaS products. Your extensive knowledge of UI/UX design principles, product design methodologies, and SaaS industry expertise will be vital in shaping our design strategy and delivering innovative, user-centric solutions.

Responsibilities:

- Collaborate with a team of UI/UX designers, providing mentorship, guidance, and fostering a collaborative design culture.

- Collaborate closely with product managers, developers, and stakeholders to understand business objectives and user needs.

- Conduct user research, competitor analysis, and usability testing to gain insights and validate design decisions.

- Create wireframes, interactive prototypes, and high-fidelity designs that align with the product vision and user requirements.

- Design intuitive user interfaces that provide a seamless and delightful user experience.

- Develop user flows, information architecture, and interaction models to enhance usability and product functionality.

- Conduct design reviews and iterations based on user feedback and data analysis.

- Stay updated with the latest design trends, emerging technologies, and best practices in UI/UX and product design.

Requirements:

- Minimum 3 years and maximum 9 years of proven experience as a UI/UX Designer in SaaS companies with a strong focus on product design.

- Familiarity with AI concepts and the ability to design interfaces that effectively communicate AI-driven insights to users.

- Proficiency in design tools such as Adobe XD, Figma, Sketch, InVision, or similar.

- In-depth knowledge of UI/UX design principles, product design methodologies, and designing for complex web applications.

- Strong background in conducting user research, usability testing, and data analysis.

- Excellent leadership, communication, and collaboration skills.

- A portfolio showcasing successful UI/UX design projects for SaaS products and product design work.

- Ability to manage multiple projects in a fast-paced environment.

Join our team and lead the charge in creating outstanding user experiences for our innovative SaaS products.

Submit your portfolio along with your application to be considered for this position.

Position: Big Data Engineer

What You'll Do

Punchh is seeking to hire Big Data Engineer at either a senior or tech lead level. Reporting to the Director of Big Data, he/she will play a critical role in leading Punchh’s big data innovations. By leveraging prior industrial experience in big data, he/she will help create cutting-edge data and analytics products for Punchh’s business partners.

This role requires close collaborations with data, engineering, and product organizations. His/her job functions include

• Work with large data sets and implement sophisticated data pipelines with both structured and structured data.
• Collaborate with stakeholders to design scalable solutions.
• Manage and optimize our internal data pipeline that supports marketing, customer success and data science to name a few.
• A technical leader of Punchh’s big data platform that supports AI and BI products.
• Work with infra and operations team to monitor and optimize existing infrastructure 
• Occasional business travels are required.

What You'll Need

• 5+ years of experience as a Big Data engineering professional, developing scalable big data solutions.
• Advanced degree in computer science, engineering or other related fields.
• Demonstrated strength in data modeling, data warehousing and SQL.
• Extensive knowledge with cloud technologies, e.g. AWS and Azure.
• Excellent software engineering background. High familiarity with software development life cycle. Familiarity with GitHub/Airflow.
• Advanced knowledge of big data technologies, such as programming language (Python, Java), relational (Postgres, mysql), NoSQL (Mongodb), Hadoop (EMR) and streaming (Kafka, Spark).
• Strong problem solving skills with demonstrated rigor in building and maintaining a complex data pipeline.
• Exceptional communication skills and ability to articulate a complex concept with thoughtful, actionable recommendations.