64 Job openings found

2 Opening(s)
5.0 Year(s) To 6.0 Year(s)
12.00 LPA TO 14.00 LPA
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 ...
1 Opening(s)
2.0 Year(s) To 4.0 Year(s)
Not Disclosed by Recruiter
  About the Company Our client is an emerging leader in AI-powered supply chain optimization. Their platform helps businesses eliminate overstocking and under-stocking by leveraging advanced analytics and forecasting models. Built by supply-chain experts, the organization focuses on enabling high-growth startups to scale seamlessly by aligning supply with demand through data-driven decisions. Key ...
1 Opening(s)
0 To 3.0 Year(s)
3.00 LPA TO 6.00 LPA
Job OverviewWe are looking for a skilled Backend Developer proficient in Python and experienced with Flask framework, data frame manipulation, and SQL databases. In this role, you will be responsible for developing server-side logic, maintaining scalable databases, and ensuring smooth integration of backend services with front-end applications. Key ResponsibilitiesDesign, develop, and ...
1 Opening(s)
3.0 Year(s) To 5.0 Year(s)
18.00 LPA TO 24.00 LPA
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 
3 Opening(s)
4.0 Year(s) To 6.0 Year(s)
12.00 LPA TO 15.00 LPA
  We’re looking for an AI/ML Engineer with hands-on expertise in LLMs, Agentic AI, NLP and some Computer Vision. You’ll build scalable AI solutions using transformer-based models, LLM-powered chat systems, and vector databases, primarily in Python. A research-driven, proactive mindset is highly valued.What you’ll do: o Build and optimize document classification & information extraction pipelines o Build Agentic AI for FinTech usacases o Train/fine-tune NLP models (Transformers/LLMs) for classification tasks o Implement LLM ...
1 Opening(s)
2.0 Year(s) To 4.0 Year(s)
8.00 LPA TO 10.00 LPA
  Role Overview:You will be the owner of test automation across multiple product modules (Forecast Engine,Procurement Agent, Distribution Engine, Workflow Builder, Vendor Portal, etc.).Your role ensures bulletproof releases, fast feedback cycles, zero regression, and deepautomation coverage for both traditional backend systems and LLM-powered modules.If you’ve built automation using Selenium, Playwright, Cypress, ...
1 Opening(s)
2.0 Year(s) To 5.0 Year(s)
8.00 LPA TO 11.00 LPA
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 ...
1 Opening(s)
5.0 Year(s) To 7.0 Year(s)
8.40 LPA TO 10.80 LPA
We are seeking a highly motivated Data Analyst to join our team. The successful candidate will be responsible for collecting, analysing, and interpreting data to help drive strategic and operational decisions across the business. This role involves working closely with teams across Sales, Marketing, Finance, and Operations to deliver actionable ...
1 Opening(s)
8.0 Year(s) To 12.0 Year(s)
20.00 LPA TO 25.00 LPA
  Key Responsibilities:● Design, build, and manage scalable cloud infrastructure using AWS.● Implement and optimize CI/CD pipelines using Jenkins and AWS CodePipeline.● Automate infrastructure provisioning and configuration using Terraform / Ansible● Manage and deploy containerized applications using Docker and Kubernetes.● Set up and maintain monitoring, logging, and alerting using tools like ...
1 Opening(s)
2.0 Year(s) To 4.0 Year(s)
7.00 LPA TO 10.00 LPA
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 ...

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