64 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 Senior Sales Executive is responsible for driving day-to-day sales performance, managing active sales pipelines, supporting the sales team during duty hours, and ensuring consistent achievement of sales targets. This role acts as the operational face of Sales, ensuring discipline, follow-ups, conversions, and superior client experience. Key Responsibilities Sales Operations & Target ...

Overview:We are seeking a proactive Business Development professional to manage export-related sales activities, handle inbound client inquiries, and drive conversion through effective inside sales engagement. Key Responsibilities: Manage and respond to international client inquiries promptly and professionally. Drive the complete inside sales cycle—from lead qualification to closure. Maintain and update sales data, pipelines, and ...

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 JobAs a Senior Software Developer, you will play a key role in designing, developing, and maintaining high-quality software solutions that power our cutting-edge navigation and piloting systems. You will:Lead the design and development of advanced software applications tailored to maritime needs.Architect scalable, secure, and maintainable solutions.Conduct code reviews and ...

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, ...

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 ...

Who We AreWe are a global, agile, and innovative organization established with an aim to create value and impact for its employees, customers and all stakeholders.We are a group of technology enthusiasts with a mission to make a positive impact on businesses by leveraging our expertise in Artificial Intelligence, Machine ...