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).
Robust 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

.
Solid 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.

📌 Artificial Intelligence Engineer Hyderabad (India)
🏢 Agilisium Consulting
📍 India