6 Job openings found

Role Overview: We are looking for an experienced Senior Python & Spark Developer with strong expertise in Python (Django, Flask) and PySpark for large-scale data processing. The ideal candidate will be a self-starter who can independently own and deliver end-to-end tasks, while also guiding junior team members. Key Responsibilities: Design, develop, and maintain ...

About the Role : We are looking for a hands-on Full Stack Data Scientist who can independently manage the  entire machine learning lifecycle—from data wrangling to deployment—without relying on a  dedicated data engineering team. This role is ideal for someone who thrives in a fast-paced, self- directed environment and is passionate about building real-world ML solutions that drive  business outcomes.      Key Responsibilities : ∙Own the full ML pipeline: data ingestion, cleaning, feature engineering, model  development, deployment, and monitoring.  ∙Build and fine-tune models using Python and frameworks like Scikit-learn, XGBoost,  TensorFlow, or PyTorch.  ∙Deploy models using Databricks, MLflow, and cloud-native tools (preferably Azure).  ∙Develop robust, scalable pipelines using PySpark or native Databricks workflows.  ∙Collaborate with BI analysts and business stakeholders to translate requirements into  production-ready solutions.  ∙Maintain and improve existing models and pipelines with minimal supervision.      Required Skills : ∙3+ years of experience in applied data science or ML engineering.  ∙Strong Python programming skills, including experience with data manipulation and ML libraries.  ∙Experience with Databricks and cloud-based ML deployment (Azure preferred).  ∙Ability to work independently across the full stack of ML development and deployment.    ∙Familiarity with version control (Git), CI/CD, and MLOps best practices.  ∙Excellent communication skills and ability to work with remote teams across time zones.      Nice to Have  ∙Experience with data pipeline development using PySpark or Delta Lake.  ∙Exposure to Docker, REST APIs, or real-time inference.  ∙Prior experience working in a manufacturing or industrial analytics environment.    Interview Process:  Shortlisted candidates will be required to complete:  ∙An online technical skills assessment focused on Python and applied machine learning.  ∙An in-person practical test at our Ahmedabad Tech Center to evaluate real-world  problem-solving and deployment capabilities.  Hours: 2:30 PM – 11:30 PM IST (working from Office) Reports to: Manager, Data Analytics California, USA 

You will own and manage all the Data and MIS requirements that are needed to run/govern day-to-day operations and perform data analysis for the collections. What you will do: Design and implement frameworks to automate and deploy Management Information System (MIS), data integration, and manual operations workflows, streamlining processes and reducing manual ...

You will own and manage all the Data, MIS, Dashboard & Automation requirements that are needed to govern day to day operations, create recons and perform data analysis for the Product team working onFinOps and Loan Management System.  What you will do: Establish a robust reconciliation framework across our Loan Management System ...

Job Title: Senior Python & Spark Developer Role Overview:   We are looking for an experienced Senior Python & Spark Developer with strong expertise in Python (Django, Flask) and PySpark for large-scale data processing. The ideal candidate will be a self-starter who can independently own and deliver end-to-end tasks, while also guiding junior ...

Job Description: Develop and implement new software programs Maintain and improve the performance of existing software Clearly and regularly communicate with management and technical support colleagues Design and update software database Test and maintain software products to ensure strong functionality and optimization Recommend improvements to existing software programs as necessary General backend python sql version control (git, github) experience with *nix ...