Note: The job is a remote job and is open to candidates in USA. Talon Professional Services is a forward-thinking organization seeking a Principal AI Engineer. In this role, you will lead the development of scalable AI platforms and collaborate with cross-functional teams to deliver impactful AI capabilities.
Responsibilities
- Lead the development of scalable AI platforms that drive innovative machine learning and artificial intelligence solutions
- Shape the future of AI infrastructure by designing, building, and maintaining systems that support advanced AI applications
- Collaborate with cross-functional teams to deliver impactful, reliable, and secure AI capabilities that power real-world solutions in a dynamic environment
Skills
- Programming in Python, Java, or R
- Building scalable AI infrastructure from the ground up
- Developing and maintaining data pipelines and deployment strategies
- Working with cloud platforms such as AWS or Azure
- Experience with AI/ML frameworks like TensorFlow, PyTorch, and Scikit-learn
- Knowledge of containerization tools including Docker and Kubernetes
- Familiarity with relational and NoSQL databases (e.g., PostgreSQL, MongoDB, CosmosDB, Graph DBs, Redis)
- API development and integration (REST, API Gateways)
- Managing large data sets and optimizing code for performance
- Troubleshooting and performance tuning of AI systems
- Bachelor's Degree in Computer Science, Information Technology, or related field
- 10+ years of progressive engineering experience in large-scale data or AI projects
- Proven track record of building and maintaining AI or machine learning platforms
- Experience deploying models in production environments
- Knowledge of distributed systems and microservices architecture
- Ability to travel approximately 10-20%
- Strong communication and collaboration skills
- Commitment to staying current with emerging AI and ML technologies
- Experience with real-time and batch data processing tools like Spark, Databricks, Kafka, Snowflake
- Knowledge of NLP, reinforcement learning, generative AI, or autonomous systems
- Familiarity with MLOps practices and tools
- Experience with big data technologies such as Hadoop and Spark
- Understanding of AI applications specific to the insurance industry
Company Overview