Senior AI Data Engineer

Job not on LinkedIn

August 8

Apply Now
Logo of Teamified

Teamified

B2B • HR Tech • Recruitment

Teamified is a global talent powerhouse that specializes in connecting businesses to offshore talent. They offer a comprehensive platform that simplifies the hiring process by providing access to a diverse range of skilled professionals from multiple industries. With a focus on data security and a people-first approach, Teamified aims to reduce hiring times and costs while ensuring high-quality talent matches for organizations.

đź“‹ Description

• Teamified works with top enterprises and digital native businesses in Australia helping them build their remote teams in India, Philippines and Sri Lanka. • We pride ourselves with hiring great teams to work on exciting game changing technology. • Teamified currently has 200+ engineers, testers, product managers etc. working across 20+ partners. • We focus on uplifting the way organisations build and manage their remote teams through great working relationships, trust, integrity, culture and hiring processes. • We are seeking a talented and experienced Senior AI Data Engineer to join our dynamic team. • As a Senior AI Data Engineer, you will be responsible for designing, developing, and implementing AI solutions to enhance our products and services. • You will work closely with our principal software engineer and platform software engineers to create cutting-edge AI models and algorithms. • Key Responsibilities: • Design and develop our Teamified AI data architecture & API using Python (Django Framework) and other relevant python libraries • Manage our RDBMs [SQL], NoSQL [MongoDb] and Vector [Pinecone] databases and conduct proper data governance & research • Collaborate with our leadership, product experts and software architect to integrate AI solutions into our Teamified Platform • Optimize AI augmentation models, context builders and prompt builders for performance, scalability, and efficiency. • Conduct research and stay up-to-date on the latest advancements in AI and data engineering.

🎯 Requirements

• Bachelor's or Master's degree in Computer Science, Information Technology, or a related field. • 3+ years of experience in AI data engineering. • Proficiency in Python and Django Framework and other relevant tools and technologies. • Good-to-have skills: RAG Orchestration Pipelines, LangChain, Vector Databases, PineCone, • Strong problem-solving skills and attention to detail. • Excellent communication and teamwork skills. • Ability to work independently and collaboratively in a fast-paced environment.

🏖️ Benefits

• Flexibility in work hours and location, with a focus on managing energy rather than time. • Access to online learning platforms and a budget for professional development • A collaborative, no-silos environment, encouraging learning and growth across teams • A dynamic social culture with team lunches, social events, and opportunities for creative input • Health insurance • Leave Benefits

Apply Now

Similar Jobs

July 31

Lead projects for designing and maintaining a data analytics platform in Cummins, engaging stakeholders.

AWS

Azure

Cassandra

Cloud

DynamoDB

ERP

ETL

Hadoop

HBase

IoT

Java

Kafka

MongoDB

NoSQL

Open Source

Python

Scala

SDLC

Spark

SQL

July 29

Data Engineer role at Amgen focusing on developing data pipelines for clinical data analytics and innovation.

AWS

Cloud

Jenkins

Kubernetes

Postgres

Python

SQL

Tableau

Vault

July 29

Join Syniti as a Data Migration Consultant to deliver data migration projects globally. Utilize proprietary tools in a supportive, growth-oriented environment.

ERP

ETL

Oracle

SQL

July 29

Join Syniti as a Lead Consultant for SAP Data Migration, leveraging expertise in enterprise data management.

ERP

SQL

July 29

Join Syniti as a Consultant focusing on data challenges and delivering innovative solutions.

ERP

SQL

Built by Lior Neu-ner. I'd love to hear your feedback — Get in touch via DM or support@remoterocketship.com