AI Engineer - 6-Month Contract

SUMMARY:
PeopleSolved is recruiting for an AI ENGINEER, for a 6-month CONTRACT opportunity. This contract opportunity is based in Cape Town.

POSITION INFO:

Mandatory:

• 5-8 years of experience as AI Developer with experience/exposure to Databricks Platform

• Building/running AI Systems, developing and training machine learning models, Building AI pipelines,

• Integrating AI capabilities into applications, optimizing algorithms for efficiency & scalability.

• Machine Learning 6-8 years

• AI Engineer 6-8 years

Responsibilities:

• Designs, develops, and implements artificial intelligence systems to solve complex real-world problems and enhance business processes.

• AI Engineers leverage cutting-edge technologies to build systems capable of decision-making, automation, and advanced data analysis.

• Building/running AI Systems, developing and training machine learning models, building AI pipelines, integrating AI capabilities into applications, optimizing algorithms for efficiency and scalability, and ensuring the ethical deployment of AI solutions.

• Proficiency in programming languages like Python, knowledge of AI frameworks such as TensorFlow or PyTorch, and expertise in data preprocessing, neural networks, and cloud platforms are essential.

• Managing big data systems, deploying AI models into production, and working with tools for monitoring and maintaining AI systems post-deployment.

• Strong problem-solving skills, a deep understanding of emerging AI technologies, and the ability to collaborate with cross-functional teams are vital traits for success in this role.

AI Frameworks/Systems/Technologies

• Prompt engineering

• LangChain

• LlamaIndex

• CrewAI

• Ollama

• RAG

• Agents

• React/Angular

• TensorFlow/PyTorch

• Natural Language Processing (NLP) frameworks

• Computer Vision libraries (e.g., OpenCV, YOLO)

• Recommendation engines

• MS Presidio

Data Science

• Python (NumPy, Pandas, Scikit-learn)

• R

• Jupyter Notebooks

• Tableau/Power BI

• SQL

• Apache Spark (for analysis)

Data Engineering

• Apache Kafka

• Apache Airflow

• Hadoop

• Snowflake

• Google BigQuery

• AWS Glue

• ETL Tools (Talend, Informatica)

• Spark

• NoSQL Databases (MongoDB, Cassandra)

• Databricks

MLOps/Platforms

• Docker

• Kubernetes

• MLflow

• Git/GitHub for version control

• AWS Sagemaker, Bedrock, Lambda, etc.

• Databricks

• Kubeflow

• CI/CD pipelines (Azure ADO/Jenkins/CircleCI

• Prometheus/Grafana for monitoring

• Terraform/Ansible for infrastructure as code (IaC)

• Statistical modeling tools