59 Job openings found

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 

  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 ...

As a Senior IT Infrastructure Administrator in a large-scale, 24x7 operational environment, you will play a critical role in ensuring the stability, security, and performance of the organization’s core IT infrastructure. This position requires deep technical expertise and a hands-on approach to managing middleware platforms, system configurations, and integration layers ...

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 ...

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 ...

  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 ...

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 ...

Role Overview: The Center is a hub for advancing research, policy, and advisory solutions in urban mobility. The Center addresses critical challenges in sustainable, equitable, and efficient transport systems across India. It collaborates with governments, international agencies, and academic institutions to promote innovation, build capacity, and deliver impactful projects.  The Senior Transport ...

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 ...

Responsibilities Writing effective and scalable Python codes Designing and implementing robust applications Debugging applications to ensure low latency and high availability. Integrating user-facing elements with server-side logic Implementing security and data protection Accommodating various data storage solutions Key Requirements Degree in Computer Science, Engineering, or a related field You have prior experience as a Python Developer Good knowledge of ...