Artificial Intelligence Engineer
3 days ago
Job Description
Position:
AI Engineer
Location:
Ahmedabad
Employment Type:
Full-time
We are seeking a highly skilled
AI Engineer
with strong expertise in building, fine-tuning, and deploying advanced AI/ML solutions. The ideal candidate will have hands-on experience with
LLMs, NLP, and RAG systems
, and a proven track record of implementing scalable AI applications on cloud platforms.
Key Skills:
- Design, develop, and optimize
AI/ML models
with a primary focus on
NLP and LLM applications
. - Fine-tune large language models (LLMs) and design effective
prompt engineering strategies
. - Build and deploy
Retrieval-Augmented Generation (RAG)
systems using vector databases (e.g., Pinecone, Weaviate, FAISS, Milvus). - Leverage frameworks such as
Hugging Face Transformers, LangChain, and LlamaIndex
for advanced AI solutions. - Collaborate with cross-functional teams to integrate AI models into business applications.
- Deploy and manage AI workloads efficiently on
AWS, Azure, or GCP
. - Utilize
Docker and Kubernetes
for containerized deployment of AI services. - Explore and implement AI models for
multilingual NLP
, with an emphasis on
Indic languages
. - (Preferred) Apply AI techniques in
healthcare and medical domains
for domain-specific solutions.
Required Skills and Qualifications:
- Bachelor's or Master's degree in
Computer Science, Artificial Intelligence, Data Science, or related fields
. - 3–5 years
of proven experience in AI/ML development, specifically in
NLP and LLMs
. - Expertise in:
- Transformers (Hugging Face, LangChain, LlamaIndex)
- LLM fine-tuning & prompt engineering
- RAG architectures & vector databases
(Pinecone, Weaviate, FAISS, Milvus) - Proficiency in
Python
, with experience in
PyTorch and/or TensorFlow
. - Strong background in
cloud-based AI deployment
(AWS, Azure, GCP). - Experience in
containerization & orchestration tools
(Docker, Kubernetes). - Familiarity with
multi-language NLP
, with exposure to Indic languages preferred. - Knowledge of
medical AI models
will be considered an added advantage.
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