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
.
- 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.

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