AI Engineer

AI Engineer

This is a fantastic opportunity to apply your AI and Machine Learning skills to design, develop, and implement cutting-edge AI systems that will redefine business processes and unlock new possibilities.

About the Role:

As an AI Engineer, you’ll be at the heart of our AI initiatives. You’ll be involved in building and running robust AI systems, from developing and training machine learning models to constructing seamless AI pipelines. Your work will include integrating advanced AI capabilities into various applications, optimizing algorithms for unparalleled efficiency and scalability, and ensuring the ethical and responsible deployment of all AI solutions.

You’ll gain invaluable experience managing big data systems, deploying AI models into production, and utilizing advanced tools for comprehensive monitoring and maintenance post-deployment. Your problem-solving skills, coupled with a keen interest in emerging AI technologies and a collaborative spirit, will be vital to your success in this dynamic role.

What You’ll Bring:

• 5-8 years of experience as an AI Developer (or similar role), with significant exposure to and experience with the Databricks Platform.
• 6-8 years of hands-on experience in Machine Learning development and deployment.
• 6-8 years of experience as an AI Engineer, building and managing complex AI systems.
• Proven ability to build and run AI systems, develop and train machine learning models, and construct end-to-end AI pipelines.
• Demonstrated success in integrating AI capabilities into applications and optimizing algorithms for efficiency and scalability.
• Exceptional proficiency in programming languages, particularly Python.
• In-depth knowledge of leading AI frameworks such as TensorFlow or PyTorch.
• Expertise in data preprocessing, neural networks, and cloud platforms.

Technical Acumen:

Your technical toolkit should include a strong command of:

• AI Frameworks/Systems/Technologies: Prompt engineering, LangChain, LlamaIndex, CrewAI, Ollama, RAG, Agents, React/Angular, 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, Databricks, Kubeflow, CI/CD pipelines (Azure ADO/Jenkins/CircleCI), Prometheus/Grafana for monitoring, Terraform/Ansible for infrastructure as code (IaC), Statistical modeling.

Ready to Shape the Future with AI?

If you’re a highly motivated and results-oriented AI professional looking to make a significant impact in a dynamic and innovative environment, we encourage you to apply. Apply today and help us build the future with intelligent solutions!

Salt is acting as an Employment Business in relation to this vacancy.