46 Job openings found

1 Opening(s)
5.0 Year(s) To 12.0 Year(s)
0.00 LPA TO 0.00 LPA
Work Location                    : Dubai Budget                              : AED 19,000 (Maximum) Notice Period                     :  Early joiners preferred (Maximum 30 days)     Job Description:   We are looking for a highly skilled and motivated Spark Data Engineer to join our team. The ideal candidate will ...
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 
1 Opening(s)
15.0 Year(s) To 20.0 Year(s)
70.00 LPA TO 80.00 LPA
Job Title- Principal Data Engineer We are building a rockstar team to help us push the frontiers of AI. Company AI Labs is bringing together the brightest talents in the world to integrate AI into the DNA of each business inside and outside ofCompany. With Company’s presence across Energy, Airport, Port & ...
1 Opening(s)
5.0 Year(s) To 8.0 Year(s)
Not Disclosed by Recruiter
About the Role You will design and build the entire Evernine Brands data platform — the ingestion pipelines, schema normalisation engine, and API surface that the Flutter frontend and AI systems consume. You will work directly with the founder, alongside the Frontend Lead and a dedicated AI/ML Lead who owns the ...
1 Opening(s)
9.0 Year(s) To 12.0 Year(s)
35.00 LPA TO 40.00 LPA
Mandatory Skills: Data ingestion (structured, semi-structured & unstructured data sets in batch & real-time ),ADF, Databricks, ETL ,Datawarehouse, Developing pipelines, Data Modeling, Strong SQL Skills,Good to have: Python, Kafka( Realtime), Working Knowledge of Middleware,Responsibilities:  Develop and maintain scalable architecture, database design and data pipelines and build out new Data Source integrations to ...
1 Opening(s)
5.0 Year(s) To 9.0 Year(s)
Not Disclosed by Recruiter
  ETL - Data Ingestion ODI Location: Bangalore          Employment type: Full Time ( Permanent) Job Description : Oracle analytics cloud. Oracle BI Application environment with ODI as primary skill and OBIE as secondary If fusion HCM is added advantage Should know to trouble shoot OBIE. 1>     Self-rating on below skills is important:  2>      OBIA  (Oracle BI applications)-  3>     ODI-  4>     OBIEE-   
1 Opening(s)
10.0 Year(s) To 15.0 Year(s)
Not Disclosed by Recruiter
JOB SUMMARYLooking for highly skilled and experienced Senior Data Architect. As a Senior Data Architect,you will play a critical role in designing, implementing, and managing data architecture,ensuring it supports both current needs and future aspirations in data and AI. This rolerequires a deep understanding of data architecture principles, data modelling ...
1 Opening(s)
3.0 Year(s) To 7.0 Year(s)
Not Disclosed by Recruiter
   Job Description As a Senior Data Engineer, you will play a key role in designing and implementing data solutions @Kotak811. You will be responsible for leading data engineering projects, mentoring junior team members, and collaborating with cross-functional teams to deliver high-quality and scalable data infrastructure. Your expertise in data architecture, performance optimization, and ...
4 Opening(s)
5.5 Year(s) To 7.5 Year(s)
11.00 LPA TO 15.00 LPA
Project Role : Data Architect  Project Role Description : Define the data requirements and structure for the application. Model and design the application data structure, storage and integration.                                              ...
7 Opening(s)
7.4 Year(s) To 13.0 Year(s)
20.00 LPA TO 27.00 LPA
Project Role : Data Architect  Project Role Description : Define the data requirements and structure for the application. Model and design the application data structure, storage and integration.                                              ...

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