AI / ML Engineer

We are seeking a highly skilled AI / ML Engineer to design, develop, and deploy innovative machine learning models and AI-driven solutions. This is an on-site role, offering an exciting opportunity for individuals passionate about artificial intelligence, data science, and building intelligent systems to solve real-world challenges. Responsibilities :

Design, develop, and optimize

machine learning models

and

AI-driven solutions

to address complex business challenges. Implement

Retrieval-Augmented Generation (RAG)

pipelines to enhance AI model capabilities, integrating

vector databases

and

retrieval models

• . Develop and fine-tune

large language models (LLMs)

for NLP applications, leveraging

transformers

and

embedding-based search

Hugging Face Transformers

and

Model Hub

for fine-tuning and deploying state-of-the-art models. Collaborate with

cross-functional teams

to define project requirements and integrate AI / ML solutions into business workflows. Preprocess, clean, and analyze

large-scale datasets

while ensuring

data privacy, security, and compliance

(e.g.,

GDPR, HIPAA, SOC 2

). Develop and deploy

secure and scalable ML pipelines

, leveraging

MLOps

best practices for continuous integration and deployment. Monitor, evaluate, and refine model performance using

A / B testing, drift detection, explainability, and adversarial robustness techniques

AI security best practices

, including

adversarial attack detection, model integrity verification, and bias mitigation

LLMs, generative AI, retrieval-based AI trends

, and

secure AI development

methodologies. Deploy and manage AI / ML models on

cloud platforms

such as AWS, Azure, or GCP, ensuring compliance with

secure AI governance frameworks

vector databases

(e.g.,

FAISS, Pinecone, Weaviate, ChromaDB

) and

retrieval frameworks

(e.g.,

LangChain, LlamaIndex

). Build and optimize

secure APIs

, ensuring protection against

data leaks, prompt injection attacks, and unauthorized access

2+ years of experience in AI / ML model development and deployment. Bachelor’s or Master’s degree

in Computer Science, Data Science, Machine Learning, Artificial Intelligence, or a related field. Strong programming skills in

Python

(preferred),

Java

ML frameworks

like TensorFlow, PyTorch, or Keras. Expertise in

natural language processing (NLP)

computer vision

deep learning

, and

LLMs

retrieval-augmented generation (RAG)

embedding models

, and

vector databases

(FAISS, Pinecone, Weaviate, ChromaDB). Experience with

cloud AI services

(AWS SageMaker, Azure AI, Google AI Platform). Strong understanding of

Hugging Face Transformers

Model Hub

, and

tokenizers

for model fine-tuning and deployment. Familiarity with

big data tools

such as

Hadoop, Spark, or Kafka

(preferred). Strong understanding of

adversarial ML attacks, model explainability, AI governance, and bias mitigation techniques

security best practices

for AI, including

prompt injection protection, data anonymization, and secure model deployment

algorithms, data structures, and model evaluation techniques

end-to-end AI / ML projects

, from concept to production, with a focus on

secure and responsible AI

analytical and problem-solving skills

with attention to detail. Excellent

communication skills

to collaborate with teams and present findings. Ability to work

on-site

and manage multiple projects effectively. Perks and Benefits :

Provident Fund and Medical Allowances Professional Training and Certifications Paid Time Off Semi-Annual Performance Bonus and Awards

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