538 Job openings found

1 Opening(s)
1.0 Year(s) To 3.0 Year(s)
3.00 LPA TO 5.00 LPA
We are looking for a passionate Frontend Developer with strong UI skills to join our team. The idealcandidate should have hands-on experience in modern JavaScript frameworks, clean UIimplementation, and responsive web design. Key Responsibilities Develop responsive, pixel-perfect user interfaces using React.js, HTML5, CSS3, andJavaScript/TypeScript. Collaborate with designers and backend developers to ...
1 Opening(s)
8.0 Year(s) To 12.0 Year(s)
20.00 LPA TO 25.00 LPA
  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 ...
1 Opening(s)
6.0 Year(s) To 10.0 Year(s)
10.00 LPA TO 15.00 LPA
Job Title: Salesforce Technical Lead Department: IT / Enterprise Applications Location: Kandlakoya Office Reporting To: Head - IT Job Type: Contract for 6 months – extendable Key Responsibilities: Lead the technical implementation of Salesforce projects, including Sales Cloud, Service Cloud, Experience Cloud, Marketing Cloud, and custom Force.com applications. Collaborate with business stakeholders, architects, and functional ...
1 Opening(s)
5.0 Year(s) To 8.0 Year(s)
Not Disclosed by Recruiter
Job Summary: PySpark Developer (with Python Migration Focus) - to design, develop, and optimize big data solutions, with a critical focus on migrating and modernizing existing Python data processing codebases within a Health Insurance Company.  The PySpark Developer will be a key member of the Data Engineering team, responsible for leveraging PySpark ...
1 Opening(s)
5.0 Year(s) To 6.0 Year(s)
8.00 LPA TO 10.00 LPA
1. Strong C (C89/C99) and C++ embedded experience; experience writing low-level, memory-constrained code. 2. Hands-on with OS-9 (or legacy OS-9 flavors) - creating modules, processes, handling I/O paths. 3. Familiarity with motion control concepts (stepper/servo drives, encoders, PID/trajectory planning). 4. Debugging tools: JTAG/SWD debuggers, oscilloscopes/logic analyzers, on-target trace/profilers. 5. Good, embedded build/CI practices, version control (git), and test-driven ...
1 Opening(s)
2.0 Year(s) To 5.0 Year(s)
Not Disclosed by Recruiter
Designation: Graphic Designer Location: Kurla, Mumbai Or Remote Qualification: Any Working days: Mon to Fri Working time: 10:00 am – 06:00 pm Experience: 2+ Years Salary: Best in industry Language Proficiency: English (knowledge of Indian regional languages is a plus) Note: This role will be on payroll of Talisman HR Solutions   Key Skills: Strong expertise in Adobe Creative Suite (InDesign, Illustrator, Photoshop), CorelDRAW knowledge is a ...
2 Opening(s)
5.0 Year(s) To 10.0 Year(s)
30.00 LPA TO 35.00 LPA
Associate Technical Lead, Software Development Chennai, Tamil Nadu, IndiaExp - 5 to 7 YearsSalary - INR 30 Lac To 35 Lac Key Responsibilities: • Analyze, design and implement new features. • Create automated tests. • Develop and maintain supporting tooling. • Analyze and fix bugs. • Provide support to other (non-developer) team members and field engineers.   Qualifications: •5 to ...
1 Opening(s)
12.0 Year(s) To 15.0 Year(s)
Not Disclosed by Recruiter
"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 ...
2 Opening(s)
2.0 Year(s) To 3.0 Year(s)
0.00 LPA TO 0.00 LPA
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.  ○ ...
1 Opening(s)
3.0 Year(s) To 5.0 Year(s)
18.00 LPA TO 24.00 LPA
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 

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