744 Job openings found

Role: Data Scientist -Python+Google Cloud PlatformWork Mode: Onsite- PermanentLocation- Bangalore Year of Experience: 5-7 Years No of Positions: 1 Notice Period: Immediate or 15 days   Good To Have Skills: Pytorch, ML Flow, SparkMust Have Skills: Open AI/Generative AI, Google Cloud Platform, Large Language Models (LLM), Retail, Python, SQLExternal DescriptionWe are seeking an AI/ML Engineer to design, develop, and implement models for retail ...

A Deputy Manager, Software Automation job description involves leading and executing automation strategies, overseeing test frameworks, and managing a team to ensure high-quality software delivery. Responsibilities include developing automation for UI and API testing, implementing CI/CD pipelines, and collaborating with cross-functional teams. The role requires a Bachelor's degree, strong technical skills ...

Key Responsibilities Design, implement, and maintain scalable, secure, and highly available infrastructure on AWS. Manage and troubleshoot Linux-based production, staging, and development environments. Configure and optimize AWS services, including EC2, ALB, NLB, Auto Scaling, RDS, IAM, CloudWatch, CloudTrail, S3, and CloudFront. Build and maintain CI/CD pipelines using Jenkins and AWS CodePipeline. Automate infrastructure provisioning using ...

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 ...

Job Details:   Job Title: Construction Manager Experience: Minimum 15+ years (And Minimum 10 years in Oil & Gas & EPC Projects (Cross Country Pipelines)) Location: Saudi Arabia ARAMCO Experience: Mandatory Education: Engineering DegreeVisa Status: Transferable Iqama   Role Overview: The Construction Manager will oversee the execution of Oil & Gas EPC projects, focusing on cross-country pipeline construction. The role involves managing site activities from IFC ...

Job Details: Software Test Engineer Experience: 3–5 Years Location: All UST Locations – Ahmedabad, Bangalore, Chennai, Coimbatore, Gurgaon, Kochi, Kolkata, Mumbai, Pune, Thiruvananthapuram Notice Period: 0–15 Days Work Mode: Hybrid (3 days in office)   Role Overview: We are looking for an Software Test Engineer with 3–5 years of experience in Playwright, nUnit, Allure Report, POM, and C#. The role involves building and maintaining automation ...

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 ...

"Project Management Skills: Proficiency in Agile, Scrum, Kanban, and/or Waterfall methodologies. Strong ability to manage multiple projects simultaneously. Resolving conflicts within cross-functional teams effectively Ability to prioritize tasks based on business impact and technical feasibility Translating technical concepts into business terms for stakeholders. Ensuring clear documentation for all phases of ...

Key Responsibilities  Model Development & Training  ○ Design, train, and fine-tune deep learning and machine learning models (transformers, CNNs, RNNs, gradient boosting, etc.).  ○ Implement data preprocessing pipelines, feature extraction, and  augmentation techniques.  ○ Conduct hyperparameter optimization and experiment management. ● Evaluation & Optimization  ○ Run model evaluations, benchmark against baselines, and perform ablation studies.  ○ ...

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