Senior Data Scientist

Job Title: Senior Data Scientist

Experience: 7 -9Yrs

Role Overview

We are seeking a highly skilled Senior Data Scientist with
strong expertise in Machine Learning and Artificial Intelligence to join our
team on a 6 -month contract. The ideal candidate will have deep hands -on
experience in designing, developing, and deploying scalable ML/AI solutions,
along with exposure to LLM -based systems and cloud -native deployments.

This role requires strong problem -solving skills,
production -level experience, and the ability to work in a fast -paced,
collaborative environment.

Must -Have Skills & Experience

• 7+
  years of hands -on experience as a Data Scientist.
  
• Strong
  understanding of Machine Learning & AI algorithms, including:
  
• Linear
  Regression
  
• Logistic
  Regression
  
• Decision
  Trees
  
• K -Nearest
  Neighbors
  
• Neural
  Networks
  
• Random
  Forests
  
• NLP/NLU
  techniques
  
• 5+
  years of experience working with ML/DL frameworks such as:
  
• TensorFlow
  
• PyTorch
  
• Keras
  
• Apache
  Spark MLlib
  
• 4+
  years of strong programming experience in:
  
• Python
  
• R
  
• Scala
  
• Go
  
• Good
  experience with version control systems such as Git.
  
• Experience
  designing and implementing end -to -end ML pipelines.
  

Good to Have Skills

• Experience
  with Prompt Engineering and RAG (Retrieval -Augmented Generation) system
  setup.
  
• Hands -on
  experience working with LLMs to solve real -world business problems.
  
• Experience
  building microservices using container technologies such as:
  
• Docker
  
• Kubernetes
  
• Experience
  deploying and managing services in Kubernetes environments.
  
• Experience
  with AWS services such as:
  
• Amazon
  SageMaker
  
• Amazon
  Comprehend
  
• Amazon
  Lex
  
• Amazon
  Rekognition
  
• Amazon
  Transcribe
  
• Amazon
  EKS
  
• AWS
  Lambda
  
• Amazon
  S3
  
• Experience
  troubleshooting and supporting production systems.
  
• Strong
  understanding of CI/CD tools such as:
  
• Jenkins
  
• GitLab
  

Key Responsibilities

• Design,
  develop, and optimize ML/AI models for production environments.
  
• Build
  and deploy scalable NLP and LLM -based solutions.
  
• Develop
  and maintain robust data pipelines and model training workflows.
  
• Implement
  RAG systems and prompt engineering strategies.
  
• Deploy
  and monitor ML services in Kubernetes environments.
  
• Collaborate
  with cross -functional teams to translate business requirements into
  AI -driven solutions.
  
• Ensure
  model performance, scalability, and reliability in production.
  
• Contribute
  to CI/CD pipelines and automation of ML workflows.
  

Qualification

• Bachelor’s
  degree in Data Science or related field (Mandatory).