Job Description

Title:

AI/ML Senior Engineer

:

We are looking for a highly skilled and experienced

Sr. AI/ML Engineer

with deep technical expertise in machine learning, deep learning, Generative AI and Agentic AI. The ideal candidate will have a strong programming foundation in Python and hands-on experience with modern ML/DL frameworks, version control systems, and data pipeline tools. This role requires both individual contribution and leadership in driving AI initiatives, while effectively communicating with cross-functional teams and stakeholders.

Key Responsibilities:

Lead the design, development, and deployment of ML/DL models for real-world applications. Apply advanced techniques such as

ensemble learning, transformers, GANs, LSTMs

, and

reinforcement learning

. Work across diverse domains like

NLP, computer vision

, or

recommendation systems

based on project needs. Build scalable APIs and services using

Flask

,

Django

, or

FastAPI

. Collaborate with data engineering teams to ensure data readiness for model training and evaluation. Evaluate and fine-tune models using techniques like

cross-validation, hyperparameter tuning

, and performance metrics. Drive GenAI adoption by leveraging

LLM APIs

for inference and contribute to

LLM training and deployment

(if applicable). Document solution architecture, workflows, and technical implementation details clearly. Mentor junior engineers and collaborate with product managers, data scientists, and other technical teams.

Required Skills & Qualifications:

5+ years of hands-on experience in AI/ML and deep learning. Strong programming skills in

Python

and good understanding of

object-oriented programming

. Deep knowledge of

neural networks

including

GANs, transformers, LSTMs

, etc. Proficient in

scikit-learn, pandas, NumPy

, and frameworks like

TensorFlow-Keras

or

PyTorch

. Experience with

version control tools

such as

Git and GitHub

. Solid skills in

data visualization

tools like

Matplotlib

,

Seaborn

, or similar. Familiarity with

SQL and NoSQL databases

. Experience building

RESTful APIs

using

Django

,

Flask

, or

FastAPI

. Hands-on experience with

GenAI

models, especially using

LLM APIs

for inference. Certifications in AI/ML or cloud-based AI platforms (

AWS, GCP, Azure

). Good understanding of

model evaluation techniques

and performance metrics. Outstanding verbal and written communication skills, with the ability to clearly articulate complex technical topics. Experience in MLOps tools like MLflow, Kubeflow, or Weights & Biases' * Oil & Gas, refinery operations & financial services exposure is preferred