Artificial Intelligence Engineer

Required Qualifications

We’re looking for someone with:

• 5+ years of experience in data architecture, with a focus on AI/ML-enabled systems.
• Hands-on experience with Generative AI models (e.g., OpenAI GPT, BERT, or similar), including fine-tuning and deployment.
• Proficiency in data engineering tools and frameworks , such as Apache Spark, Hadoop, and Kafka.
• Deep knowledge of database systems (SQL, NoSQL) and cloud platforms (AWS, Azure, GCP), including their AI/ML services (e.g., AWS Sagemaker, Azure ML, GCP Vertex AI).
• Strong understanding of data governance , MLOps , and AI model lifecycle management .
• Experience with programming languages such as Python or R and frameworks like TensorFlow or PyTorch .
• Excellent problem-solving and communication skills , with a demonstrated ability to lead cross-functional teams.

Preferred Skills

• Familiarity with LLM fine-tuning , prompt engineering , and embedding models .
• Strong domain expertise in Life Science Industry
• Experience integrating generative AI solutions into production-level applications.
• Knowledge of vector databases (e.g., Pinecone, Weaviate) for storing and retrieving embeddings.
• Expertise in APIs for AI models , such as OpenAI API or Hugging Face Transformers.