1455 Job openings found

2 Opening(s)
4.0 Year(s) To 6.0 Year(s)
Not Disclosed by Recruiter
Job Summary: We are seeking an experienced Data Engineer with proven expertise in Vertica Database functionalities to design, develop, and optimize scalable data solutions. The ideal candidate will have a strong background in SQL, ETL processes, and data modelling, along with hands-on experience in managing large datasets and ensuring high-performance data ...
1 Opening(s)
1.0 Year(s) To 3.0 Year(s)
1.80 LPA TO 2.40 LPA
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 ...
1 Opening(s)
6.0 Year(s) To 7.0 Year(s)
13.00 LPA TO 14.00 LPA
Job Description:Role: Technical Manager - IT ServicesTotal Experience: 6 - 7 YearsWork Location: Vasai, MumbaiJoining: 15-30 daysJob Summary:We are looking for an experienced Technical Manager with a strong foundation in the MERN stack (MongoDB,Express.js, React.js, Node.js), Flutter, and Python. The ideal candidate should have hands-on coding expertise,proven experience managing large-scale ...
2 Opening(s)
3.0 Year(s) To 10.0 Year(s)
10.00 LPA TO 22.00 LPA
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 ...
1 Opening(s)
2.0 Year(s) To 3.0 Year(s)
Not Disclosed by Recruiter
OverviewWe are looking for a skilled Backend Developer to design and implement server-sideapplications and APIs. The successful candidate will have strong expertise in Node.js.Key Responsibilities Design and develop scalable backend services and APIs Build robust server-side applications using Node.js Design and optimize database schemas and queries Implement authentication and authorization ...
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 ...
2 Opening(s)
3.0 Year(s) To 5.0 Year(s)
Not Disclosed by Recruiter
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 ...
1 Opening(s)
12.0 Year(s) To 15.0 Year(s)
Not Disclosed by Recruiter
"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 ...
1 Opening(s)
7.0 Year(s) To 8.0 Year(s)
Not Disclosed by Recruiter
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 ...
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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