Job Description

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