1520 Job openings found

BASIC PURPOSE:   The Lead Software Engineer - Full Stack is responsible for providing technical leadership to both onshore and offshore teams. The role involves developing and maintaining modular, reusable back-end components using .NET and Angular. Additionally, the engineer will be responsible for developing and maintaining reusable user interface components with ...

  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 ...

Job Title Backend Environment Engineer Location & Experience Location: [City, State], India Experience: 2-3 years in backend infrastructure / environment engineering Role Summary You will work as part of the infrastructure / environment team to build, maintain and optimise the backend environments that support production services, development pipelines and data flows. You’ll ensure environments are provisioned, ...

Key Responsibilities: 1. Architecture & Deployment Design and implement highly available and scalable Elasticsearch clusters. Conduct architecture reviews, capacity planning, and performance optimization. Ensure robust security configurations, including access controls and encryption. 2. Data Migration Develop and execute data migration strategies, including snapshot and restore mechanisms. Ensure seamless data movement across multiple clusters while maintaining data integrity. 3. Observability & Monitoring Set up log collection pipelines using Beats ...

An IT expert, or IT specialist, job description includes installing and maintaining hardware/software, managing networks, ensuring system security, troubleshooting and resolving technical issues, and providing technical support to end-users and staff. Key responsibilities also cover monitoring system performance, managing data backups, and keeping documentation up-to-date, all while staying informed about new technologies ...

Job Description Job Title: Analyst, Algorithm Research & Development (Optical modelling). Job location- Chennai  Experience: Minimum 3 years  Employment Type: Full time Key Responsibilities: Develop algo focusing on optical modeling and computational geometry-based image processing algos and models. Stay updated with emerging technologies and industry best practices. Bring new ideas to the team by exploring modern frameworks or tools ...

Role Overview As a Senior Platform Engineer – MLOps, you will play a key role in designing, building, and maintaining the infrastructure and workflows that support our machine learning systems. You’ll work closely with data scientists, ML engineers, and DevOps teams to implement scalable MLOps solutions, mentor team members, and ensure smooth deployment and ...

"Deep understanding of cloud platforms (AWS, Azure, GCP) and hybrid cloud setups Hands-on experience with architecture modeling tools and frameworks (TOGAF, Zachman, UML) Proficiency with enterprise integration patterns, RESTful APIs, API gateways, and service mesh Knowledge of data architecture, security architecture, and DevSecOps principles Familiarity with India Stack components and ...

Job Description seeking a Power BI Developer with strong expertise in database technologies to design, develop, and implement business intelligence solutions. The ideal candidate will possess advanced Power BI skills along with hands-on experience in database design, development, and optimization. This role involves working with large datasets, ensuring data integrity, and ...

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