Senior AI ML Developer
17 hours ago
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At
Beyond Root Technology Services
, we don't just build products — we craft intelligent, scalable digital experiences that shape the future.
We're a team of innovators, engineers, and dreamers dedicated to transforming ideas into impactful solutions.
About the Role
We are looking for a highly skilled and motivated
AI/ML Developer
to join our growing team at
Beyond Root Technology Services
.
You'll be working on cutting-edge projects involving
Large Language Models (LLMs)
,
Deep Learning
,
NLP
, and
model deployment
.
This is a
hands-on role
for someone passionate about solving
real-world problems with AI
and eager to build scalable, intelligent systems.
Key Responsibility:
- Develop and fine-tune
deep learning models
using
PyTorch
or
TensorFlow
. - Build and optimize
LLM applications
using
Hugging Face Transformers
and
LangChain
. - Design
prompt engineering
strategies and perform
fine-tuning
for domain-specific use cases. - Implement
NLP pipelines
(tokenization, embeddings, attention mechanisms, etc.). - Work with
vector databases
(FAISS, Pinecone, Weaviate) for
semantic search
and
Retrieval-Augmented Generation (RAG)
. - Build scalable
APIs
using
FastAPI
or
Flask
. - Deploy models using
Docker
,
ONNX
,
TorchScript
, and
REST APIs
. - Collaborate with
DevOps
teams to deploy and scale solutions on
AWS
,
GCP
, or
Azure
. - Maintain version control and clean collaboration workflows using
Git
and
GitHub
.
Technical Skills:
- Programming:
Python - Deep Learning Frameworks:
PyTorch, TensorFlow - Transformers & LLMs:
Hugging Face Transformers, LangChain - Prompt Engineering & Fine-tuning
- NLP Fundamentals:
Tokenization, embeddings, attention mechanisms - Data Preprocessing:
NumPy, Pandas, OpenCV (for image data) - Vector Databases:
FAISS, Pinecone, Chroma, Weaviate - API Development:
FastAPI, Flask - Model Deployment:
Docker, REST APIs, ONNX, TorchScript - Version Control:
Git, GitHub - Cloud Platforms:
AWS / GCP / Azure
Additional Skills:
- Retrieval-Augmented Generation (RAG)
- LLM Orchestration:
LangGraph, LlamaIndex - Knowledge Graphs & Semantic Search
- MLOps Tools:
MLflow, DVC, Kubeflow - Distributed Training:
DeepSpeed, Hugging Face Accelerate - Vector Search Optimization:
Milvus, Qdrant - Custom Model Training:
LoRA, PEFT, RLHF - Front-end:
React, Streamlit, Gradio - Databases:
PostgreSQL, MongoDB - Monitoring & Logging:
Prometheus, Grafana - Prompt Security / Data Governance
Why Join us?
- Work on
cutting-edge AI and ML technologies
that push industry boundaries. - Collaborate with a talented, cross-functional team of developers, architects, and product experts.
- Be part of an
open, learning-driven environment
that values growth, creativity, and ownership. - Contribute to global projects that redefine
digital innovation
and
business intelligence
. - Enjoy a culture built on
transparency, flexibility, and continuous improvement
.
Make sure to read the JD before applying, only serious candidates
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