About Fusemachines Founded in 2013, Fusemachines is a global provider of enterprise AI products and services, on a mission to democratize AI. Leveraging proprietary AI Studio and AI Engines, the company helps drive the clients’ AI
As a Data Specialist, you will support the design and development of scalable backend data solutions, bridging modern data engineering with business analytics needs. The role focuses on building robust ETL pipelines, backend data workflows, and
Devsinc is seeking a Senior AI/Machine Learning Engineer with a strong background in Python, machine learning, and deep learning frameworks. Our ideal candidate will excel in cloud environments (such as AWS, Azure, GCP, and Databricks), possess the ability
Description Devsinc is seeking a Senior AI/Machine Learning Engineer with a strong background in Python, machine learning, and deep learning frameworks. Our ideal candidate will excel in cloud environments (such as AWS, Azure, GCP, and Databricks), possess the
Requirements: 2+ years of experience in Data Analysis, Business Intelligence, or related roles. Strong command of SQL, including joins, aggregations, filtering, and Common Table Expressions (CTEs). Hands-on experience with dashboarding and BI tools such as Metabase,
Requirements: Strong experience with Databricks (Workflows, MLflow, Delta Lake), Apache Spark (batch and streaming), and advanced Python (production-quality code). Hands-on experience with streaming and real-time data systems. Proven experience designing and implementing CI/CD pipelines. Strong understanding of the
Grade Level: L3 Location: Islamabad Last Date to Apply: 26th May 2026 What is Senior Data Engineer - Teknosys? We are looking for someone who has previously worked in the field of Data Engineering and can
Data Engineer - Teknosys Grade Level: L2 Location: Islamabad Last Date to apply: 26th May 20026 What is Data Engineer? We are looking for someone who has worked in the field of Data Engineering and is
We are looking for an experienced Data Engineer with 4+ years of hands on experience responsible for expanding and optimizing our big data pipelines. You will be working alongside other engineers and developers working on different layers