Artificial Intelligence Engineer
6 days ago
About the Role
We're looking for a
passionate AI/ML Engineer
with
3+ years of experience
who can bridge the gap between machine learning models and production-ready APIs using
and
FastAPI
.
In this role, you'll train, fine-tune, and deploy ML models; integrate them with scalable backend systems; and build intelligent, data-driven applications using the latest in
GenAI
— including
Hugging Face, OpenAI, LangChain
, and more.
Key Responsibilities
- Design, train, and deploy
machine learning
and
deep learning
models for NLP, vision, or recommendation systems.
- Develop robust APIs using
)
and
Python FastAPI
for serving AI/ML models.
- Fine-tune and serve
Hugging Face Transformers
and
LLMs
(BERT, GPT, Llama, etc.).
- Build data ingestion and preprocessing pipelines using
Python, Pandas,
and
FastAPI
.
- Integrate
LLMs and AI agents
using frameworks such as
LangChain, LlamaIndex
, or
OpenAI API
.
- Implement
MLOps workflows
— including model tracking, CI/CD, and monitoring with tools like
MLflow
or
DVC
.
- Deploy and scale models using
Docker, Kubernetes, AWS/GCP/Azure
, or
serverless architectures
.
- Collaborate with cross-functional teams (data, frontend, product) to build and ship
AI-driven features
.
Required Skills
Programming:
- Backend:
)
,
FastAPI
- ML/AI:
Python, TensorFlow, PyTorch, scikit-learn
AI/ML Tools:
- Hugging Face Transformers, LangChain, OpenAI API, LlamaIndex
Data Handling:
- Pandas, NumPy, SQL/NoSQL databases
DevOps/MLOps:
- Docker, Kubernetes, Git, MLflow, DVC
API Development:
- REST, GraphQL, WebSocket
Cloud Deployment:
- AWS (SageMaker/Lambda), GCP (Vertex AI), Azure ML
Additional Expertise:
- Strong understanding of
LLM architecture
, embeddings, and vector databases such as
Pinecone, FAISS,
or
Milvus
.
Good to Have
- Experience with
TypeScript
for backend.
- Worked on
chatbots
,
RAG (Retrieval-Augmented Generation)
systems, or
AI assistants
.
- Familiarity with
FastAPI async endpoints
for real-time inference.
- Exposure to
model quantization
and optimization for faster inference.
- Experience integrating
FastAPI microservices
into
ecosystems.
Education
B.Tech / M.Tech / MCA in
Computer Science
,
Artificial Intelligence
, or a related field.
Why Join Zibtek?
Zibtek
is a global software development and technology services company that partners with clients across industries and geographies.
Working here gives you exposure to
international projects
,
cutting-edge technologies
, and opportunities to solve
real-world business challenges
that create measurable impact.
Join a
forward-thinking, people-driven organization
where your ideas matter, your growth is prioritized, and your work contributes to
global innovation in AI and software development
.
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