AI/ML Developer

Job Role: AI/ML Developer

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 strong 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