Data Scientist

Job Title

Data Scientist / Machine Learning Engineer

Job Summary

Data Scientist / Machine Learning Engineer

Key Responsibilities

• Design, develop, and deploy

  production-grade machine learning models

• Work with large-scale datasets using

  PySpark and Big Data frameworks

• Apply

  statistical analysis and machine learning techniques

  to solve business problems
• Build and optimize ML pipelines on cloud platforms
• Collaborate with data engineers, product teams, and stakeholders
• Implement

  MLOps/DevOps best practices

  for model deployment and monitoring
• Ensure scalability, performance, and reliability of ML solutions

Required Skills & Qualifications

Education

• Bachelor’s or Master’s degree in a

  STEM discipline

  (Science, Technology, Engineering, Mathematics)

Experience

• 4–6 years

  of experience as a

  Data Scientist or Machine Learning Engineer

• Experience delivering multiple

  production-grade ML solutions

  in academic or corporate environments

Technical Skills

• Strong proficiency in

  PySpark

• Solid understanding of

  statistics, machine learning, and data modeling

• Hands-on experience with

  Machine Learning techniques

  , including:
• Tree-based models
• Deep Learning (CNNs, RNNs, GNNs, Transformers)
• Reinforcement Learning and/or Unsupervised Learning
• Experience with

  Big Data platforms

  :
• Google Cloud Platform (GCP)
• Amazon Web Services (AWS)
• Microsoft Azure
• Oracle Cloud
• Experience with

  Big Data engines

  :
• Apache Hadoop
• Apache Kafka
• Apache Spark
• Knowledge of

  MLOps / DevOps tools

  :
• Docker
• Kubernetes
• CI/CD pipelines

Preferred Skills (Nice to Have)

• Experience in real-time or streaming data processing
• Exposure to model monitoring and lifecycle management
• Strong problem-solving and communication skills