Job Summary

We are seeking a skilled AI/ML Developer with strong
hands -on experience in machine learning, data science, and AI -driven
solution development. The ideal candidate will work closely with engineers
and product managers to design, build, and deploy intelligent models that solve
real -world business problems and deliver measurable value.

Roles & Responsibilities

- Develop
and implement machine learning and AI solutions using Python

- Collaborate
with engineers and product managers to define hypotheses, solutions, and
expected outcomes

- Act
as a Subject Matter Expert (SME) in ML, AI, and statistical
modeling for business use cases

- Design
and implement models using:

- Machine
Learning and Optimization techniques

- Neural
Networks and Deep Learning

- Artificial
Intelligence approaches including NLP/NLU

- Apply data engineering techniques to collect, prepare, cleanse, and
transform data

- Build
and maintain data pipelines to support analytics and AI automation

- Work
with data from social media platforms such as Twitter, Instagram,
Reddit, Facebook, etc.

- Create prototypes and Minimum Viable Products (MVPs)

- Generate
meaningful insights, predictions, and recommendations

- Demonstrate
clear business value from AI/ML initiatives

- Mentor
and coach team members and contribute to technical excellence






Must -Have Skills & Experience

- 5+
years of hands -on experience as a Data Scientist / AI -ML Developer

- Strong
understanding of ML and AI algorithms, including:

- Linear
& Logistic Regression

- Decision
Trees, Random Forests

- K -Nearest
Neighbors (KNN)

- Neural
Networks

- NLP
/ NLU techniques

- 5+
years of experience with ML frameworks such as:

- TensorFlow

- PyTorch

- Keras

- Spark
ML

- 4+
years of robust coding experience in:

- Python
(mandatory)

- R,
Scala, Go (good to have)

- Experience
using source control systems such as Git

- Strong
analytical and problem -solving skills


Good -to -Have Skills

- Experience
with prompt engineering and RAG (Retrieval -Augmented Generation) system setup

- Hands -on
experience working with Large Language Models (LLMs)

- Experience
building microservices using Docker and Kubernetes

- Hands -on
experience deploying and managing services in Kubernetes

- Experience
with AWS AI/ML and Cloud services, including:

- SageMaker,
Comprehend, Lex, Rekognition, Transcribe

- EKS,
Lambda, S3

- Experience
troubleshooting and supporting production AI/ML systems

- Understanding
of CI/CD pipelines using Jenkins, GitLab, or similar tools


Qualifications

- Bachelor’s
degree in Computer Science Engineering or a related technical
discipline