Associate Specialist Digital Sc Software Engineer

Merck Merck · Pharma · Telangana, India

This role involves building end-to-end ML models and Gen AI applications for the digital supply chain within a healthcare company. The engineer will collaborate with stakeholders, design ML systems, transform prototypes, and develop algorithms for predictive modeling, leveraging cloud platforms and data engineering skills.

What you'd actually do

  1. Designs machine learning systems and software to automate predictive model
  2. Transforms data science prototypes and applying appropriate ML algorithms and tools
  3. Develops ML algorithms to analyze large volumes of historical data to make predictions
  4. Enables delivery of data-analytics & Gen AI projects. Have deep knowledge of the company's supported technology; understand the whole complexity/dependencies between multiple teams, platforms (people, technologies)
  5. Drive product design and ensure consistent execution of product lifecycle processes from concept to launch, ensuring user-centric solutions

Skills

Required

  • Python
  • SQL
  • AWS
  • GCP
  • Azure
  • Machine Learning
  • Generative AI
  • NLP
  • Prompt Engineering
  • Data Engineering
  • Software Development Lifecycle (SDLC)
  • Agile methodologies
  • product roadmaps
  • backlog management
  • statistics
  • product architectures

Nice to have

  • APIs
  • microservices
  • DevOps practices

What the JD emphasized

  • Hands-on experience in Data Science (building end-to-end ML models)
  • hands-on software experience on building Gen AI based applications and systems
  • Expertise in developing scalable, secure, and modular product architectures utilizing concepts of Machine Learning, Generative AI, NLP, Prompt Engineering etc

Other signals

  • building end-to-end ML models
  • building Gen AI based applications and systems
  • Designs machine learning systems and software to automate predictive model
  • Transforms data science prototypes and applying appropriate ML algorithms and tools
  • Develops ML algorithms to analyze large volumes of historical data to make predictions