68 Job openings found

  Role Overview:As a DevOps Engineer, you will lead and support the migration of our infrastructure toKubernetes across cloud and local environments while designing, building, and maintaining ourGoogle Cloud, Oracle Cloud, and on-premise infrastructure. You will collaborate closely withengineering, product, and QA teams to ensure reliable deployments, high availability, strongsecurity controls, ...

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 

The HR Head will be responsible for leading and managing the overall Human Resources function, ensuring effective implementation of HR strategies, talent management, employee engagement, and organizational development aligned with the company’s business goals. Strategic HR Leadership Partner with the CEO and leadership team to drive people strategy aligned with business goals Design ...

Support the founder with administrative operations, client coordination, and deal documentation to ensure smooth day-to-day functioning of the business while enabling greater focus on client advisory and property acquisitions. Key Responsibilities Administrative Support Manage calendar, meeting scheduling, and appointment coordination Organize internal documents, reports, and communication records Prepare meeting notes and track follow-ups Maintain structured digital ...

Job Description: Database Administrator Position Overview We are seeking an experienced Database Administrator (DBA) with strong expertise in Microsoft SQL Server, Azure Database services, MongoDB/NoSQL technologies, and familiarity with Redis and RabbitMQ. The ideal candidate will be responsible for ensuring optimal performance, reliability, security, and availability of both on-premise and cloud-based databases. Required Skills & Expertise Microsoft SQL Server Database Administration (On-prem & ...

  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 ...

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 ...

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 ...

About the Role We are hiring a Business Development Manager for a fast-growing industrial B2B marketplace platform that connects verified suppliers with global buyers across engineering and industrial product categories. The role focuses on scaling platform adoption by onboarding high-quality sellers and enterprise buyers, driving transactions, and building a scalable partner ...

Job Description We are looking for a Cloud & DevOps Engineer who will mainly work on Azure and support our development and operations teams. The focus of this role is managing Azure services, automation, and CI/CD pipelines. Knowledge of Intune is a plus but not mandatory. Key Responsibilities 1. Azure DevOps & Pipelines Build, ...