Data Scientist / Machine Learning Engineer

About Company : Our Client is a leading Indian multinational IT services and consulting firm. It provides digital transformation, cloud computing, data analytics, enterprise application integration, infrastructure management, and application development services. The company caters to over 700 clients across industries such as banking and financial services, manufacturing, technology, media, retail, and travel & hospitality. Its industry-specific solutions are designed to address complex business challenges by combining domain expertise with deep technical capabilities. With a global workforce of over 80,000 professionals and a presence in more than 50 countries.

Data Scientist / Machine Learning Engineer

Locations: PAN INDIA

Experience: 4 to 7 Years

Employment Type: Contract to Hire

Work Mode : Work From Office

Notice Period : Immediate to 15 Days

Job Description:

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 modelling

• 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