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AI/ML Engineer II

11 hours, 38 minutes ago
India
Full-time
Mid Level
Machine Learning Engineer
Software Development
AWS Azure Deep Learning Docker Feature Engineering GCP Generative AI Kubernetes Machine Learning MLOps Python SQL
Apply Now
Precision Medicine Group

Precision Medicine Group

Precision Medicine Group specializes in precision medicine, utilizing targeted expertise and data insights to accelerate drug development and enhance the commercialization of next-generation medical products for the pharmaceutical and life sciences ind...

Pharmaceuticals
251-1K
Founded 2012
View All Jobs 4

Description

  • Design, develop, fine-tune, and evaluate machine learning, deep learning, and Generative AI models, including Large Language Models (LLMs).
  • Select and apply appropriate modeling techniques (supervised, unsupervised, NLP, deep learning) based on problem context and data constraints.
  • Optimize model performance across accuracy, latency, scalability, and cost dimensions and conduct rigorous evaluation, validation, and benchmarking on large-scale datasets.
  • Perform data preprocessing, feature engineering, augmentation, and synthetic data generation to improve model robustness.
  • Design, implement, and integrate scalable, production-ready AI solutions into existing platforms and workflows.
  • Build, maintain, and improve MLOps pipelines for model training, deployment, monitoring, and lifecycle management.
  • Deploy and manage AI applications in cloud environments (Azure, AWS, or GCP) using containerization and orchestration where applicable, and troubleshoot issues across development and production environments.
  • Monitor model performance in production, identify drift or degradation, and implement remediation strategies.
  • Partner with Product Managers, Software Engineers, Data Scientists, Research, and QA teams to translate product requirements into technical architectures and ensure AI workflows are production-ready and auditable.
  • Document AI/ML workflows, contribute to internal best practices and reusable components, and proactively identify opportunities to improve scalability, reliability, and efficiency of existing AI systems.

Requirements

  • Bachelor’s or Master’s degree in Computer Science, Data Science, Engineering, or a related quantitative field.
  • Minimum 3+ years of hands-on experience in an AI/ML or data science role delivering production-deployed solutions.
  • Strong proficiency in Python and SQL and experience building scalable ML/NLP workflows.
  • Deep hands-on experience with machine learning, deep learning, and natural language processing.
  • Experience working with Generative AI and Large Language Models, including fine-tuning and evaluation techniques.
  • Working knowledge of data preprocessing, feature engineering, augmentation, and model validation practices.
  • Experience deploying AI solutions in cloud environments (Azure, AWS, or GCP).
  • Familiarity with containerization and orchestration tools such as Docker and Kubernetes.
  • Preferred experience building AI solutions in healthcare, life sciences, analytics, or regulated data and integrating models into SaaS products or productized services.
  • Preferred experience with MLOps frameworks, monitoring strategies, distributed systems, APIs, and exposure to enterprise AI governance, security, or compliance considerations.

Interested in this position?

Apply directly on the company website

Apply Now

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