595 Job openings found

"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 

What You’ll Do Design Intelligent Architectures: Lead the design of secure, scalable cloud-native and hybrid architectures optimised for AI innovation. Develop & Accelerate: Build GenAI components, multi-modal agents, fine-tune LLMs, and work on reusable modules using tools like LangGraph and LangChain, automate workflows using platforms like n8n. Cloud Leadership: Architect and implement solutions ...

Hi All,   We are Hiring for AI/ML Engine AI/ML Engineer responsible for building core ML infrastructure that powers adaptive learning for 100K+ students  Develop recommendation engines, predictive analytics, computer vision, and NLP systems using Python, TensorFlow, and PyTorch.   Task:   Design and train ML models for student behavior prediction and content recommendation Build recommendation systems, personalizing study ...

Designation: DevOps ArchitectLocation: Turbhe Office, Navi MumbaiCTC: as per company normsJob Description;The DevOps Architect designs and implements scalable, automated infrastructure and CI/CD pipelines to streamline software delivery. They bridge development and operations teams, ensuring efficient, secure, and reliable deployment processes. Their goal is to drive continuous integration, delivery, and improvement ...

CSB BankRole : Data EngineerData & AnalyticsLocation - Thane, Maharashtra, India (Mumbai Turbhe Office )Full-time RoleJob Description1. Data Engineer role is to design, build, and maintain scalable, reliable, and efficient data infrastructure that enables real-time and batch data processing across cloud and on-premise environments.2. This role ensures that high-quality, well-structured ...

Seeking a Project Manager experienced in the construction of Cross-Country Pipelines. The ideal candidate should have deep experience in Engineering, Procurement and Construction of pipelines. Essential duties: Project Management Professional, Oversee and direct Overall project from conception to completion.       He shall have experience in Execution of Project from Conceptual Design, Detail Design, Procurement, ...

Exp : 1-2 years and 4-6 years CTC: 3-4 LPA (1-2yrs) 10-12 LPA (4-6yrs) Job Type: Permanent Job location: Pune (Magarpatta City) (Work from Office is Mandatory) Shift: US shifts (Flexible) Notice: Immediate Job Title: Python Developer Key Responsibilities: Design, develop, and maintain Python scripts to automate business application processes. Build and manage data ingestion pipelines using Python libraries ...

    We are seeking a skilled Software Engineer with strong hands-on experience in Node.js and TypeScript to design, develop, and maintain production-grade applications. The role is backend-leaning but involves full-stack exposure, with ownership of APIs, databases, deployments, and system performance. You will work closely with product and business teams to build reliable,  scalable systems used in real-world environments.      Key Responsibilities :   Design, develop, and maintain backend services using Node.js and TypeScript (Express.js or similar frameworks).  Build and maintain RESTful APIs supporting business workflows and integrations.  Own features end-to-end, including API development, authentication, performance optimisation, testing, and deployment.  Work with MongoDB (schema design, indexing, aggregations) and MySQL for data storage and retrieval.  Contribute to and maintain production full-stack systems, with a strong backend focus.  Deploy and manage applications on AWS (EC2, S3, Lambda) and support CI/CD pipelines.  Collaborate with product, operations, and business stakeholders to translate requirements into technical solutions.  Troubleshoot production issues and implement long-term, scalable fixes.  Follow best practices for code quality, version control, and system reliability.    Requirements  Proven experience working as a Software Engineer / Full Stack Engineer in production environments.  Strong hands-on experience with Node.js and TypeScript.  Experience owning and maintaining live applications used by real users.  Technical Skills  Proficiency in Node.js, TypeScript, Express.js (or similar).  Hands-on experience with MongoDB and basic SQL/MySQL. Exposure to AWS infrastructure and deployment workflows.  Understanding of RESTful API design, authentication, and backend architecture.  Familiarity with CI/CD pipelines, Git, and modern development workflows.    Nice to Have  Experience working on CRM systems, internal tools, SaaS, or e-commerce platforms.  Front-end exposure using React, Vue.js, or similar frameworks.  Experience improving system performance and scalability in production.