333 Job openings found

1 Opening(s)
3.0 Year(s) To 5.0 Year(s)
6.00 LPA TO 10.00 LPA
About the Role We are seeking a highly experienced Senior Python Backend Engineer to design, build, and scale backend services for our global art information platform. In this role, you will work on integrating advanced AI/ML models into production systems, powering features such as recommendations, personalization, and intelligent search. This position is ...
5 Opening(s)
6.0 Year(s) To 9.0 Year(s)
12.00 LPA TO 15.00 LPA
  Job Summary:We are looking for a skilled and motivated Java Developer with 5-8 years of professional experience to join our development team. The ideal candidate will have a solid foundation inJava programming and a passion for developing high-quality software solutions. You will work closely with senior developers and other team ...
10 Opening(s)
2.0 Year(s) To 5.0 Year(s)
7.00 LPA TO 11.00 LPA
  Job Summary:We are looking for a skilled and motivated Java Developer with 2-5 years of professional experience to join our development team. The ideal candidate will have a solid foundation inJava programming and a passion for developing high-quality software solutions. You will work closely with senior developers and other team ...
6 Opening(s)
3.0 Year(s) To 6.0 Year(s)
Not Disclosed by Recruiter
Key Responsibilities Design, develop, and maintain scalable backend services and APIs using Java and Spring Boot. Collaborate with product managers, frontend/mobile developers, and DevOps teams to deliver robust features Implement and optimize RESTful APIs, GraphQL endpoints, and microservices. Ensure application performance, security, and reliability. Write clean, efficient, and testable code following best practices. Troubleshoot, debug, and ...
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 
5 Opening(s)
8.0 Year(s) To 15.0 Year(s)
Not Disclosed by Recruiter
Position: Integration Developer Location: Pennsylvania, Harrisburg Description of Duties   Responsible for connecting the different systems, applications, and technologies, including SAP S/4HANA, BRIM, Microsoft Dynamics 365, cloud telephony and IVR, web portals, mobile apps, middleware systems, document storage and retrieval solutions, cloud hosting, and more, to ensure they technically work seamlessly together for ...
1 Opening(s)
3.0 Year(s) To 5.0 Year(s)
10.00 LPA TO 18.00 LPA
Key Skills & Expertise:• Ruby on Rails Development: Proven experience in designing, developing, and maintaining scalable applications. • Object-Oriented Design & Analysis: Exceptional understanding and application of OOPS principles. • API & Microservices: Strong experience building and consuming REST APIs; hands-on with microservice Design Patterns: Expert-level understanding and implementation of ...
1 Opening(s)
3.5 Year(s) To 4.0 Year(s)
Not Disclosed by Recruiter
OverviewWe are seeking an experienced PHP Full Stack Developer to join our team for the development, maintenance, and optimization of our web-based systems and APIs. The ideal candidate will have strong expertise in PHP, MySQL, RESTful APIs, and frontend technologies, with experience in both backend processes (data ingestion, automation, cloud ...
1 Opening(s)
3.0 Year(s) To 8.0 Year(s)
2.00 LPA TO 6.00 LPA
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 ...
1 Opening(s)
3.0 Year(s) To 7.0 Year(s)
15.00 LPA TO 30.00 LPA
Key Responsibilities: - 1. Model Development: Design, build, and optimize supervised, unsupervised, and deep learning models for various business problems. 2. Data Exploration & Feature Engineering: Clean, transform, and analyze structured and unstructured data; identify significant features. 3. AI Integration: Develop end-to-end AI pipelines and integrate models into production systems ...

Drop Your CV

We will consider your Profile for future Jobs

Submit Profile