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AI/ML Engineer II

1 hour, 35 minutes ago
India
Mid Level
Machine Learning Engineer
Software Development
AWS Azure Deep Learning Docker Feature Engineering GCP Generative AI Kubernetes LLM Machine Learning MLOps NLP Python SQL
Apply Now

Precision AQ

Precision AQ is a life sciences commercialization and healthcare consulting company that helps biopharma companies bring therapies to market and improve patient access. It describes itself as a commercialization partner for biopharma innovators, market access teams, and brand strategists, with expertise spanning access strategy, HEOR, medical communications, market access, data and analytics, branding, investor relations, and omnichannel/product solutions.

Business Consulting and Services
1001-5000
View All Jobs 30

Description

  • Design, develop, fine-tune, and evaluate machine learning, deep learning, and Generative AI models, including Large Language Models (LLMs).
  • Apply supervised, unsupervised, NLP, and deep learning techniques based on the problem context and data constraints.
  • Optimize model performance across accuracy, latency, scalability, and cost.
  • Conduct model evaluation, validation, and benchmarking using large-scale datasets.
  • Use data preprocessing, feature engineering, augmentation, and synthetic data generation to improve model robustness.
  • Design and implement scalable, production-ready AI solutions integrated into existing platforms and workflows.
  • Build, maintain, and improve MLOps pipelines for training, deployment, monitoring, and lifecycle management.
  • Deploy and manage AI applications in cloud environments, including containerization and orchestration where applicable.
  • Monitor production models for drift, degradation, or failure and implement remediation strategies.
  • Partner with product, engineering, data science, and research teams to translate business problems into technical architectures and model designs.

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; experience building scalable ML/NLP workflows.
  • Deep hands-on experience with machine learning, deep learning, and natural language processing.
  • Experience with Generative AI and Large Language Models, including fine-tuning and evaluation techniques.
  • Working knowledge of data preprocessing, feature engineering, and model validation practices.
  • Experience deploying AI solutions in cloud environments such as Azure, AWS, or GCP.
  • Familiarity with containerization and orchestration tools such as Docker and Kubernetes.
  • Experience building AI solutions in healthcare, life sciences, analytics, or regulated data (preferred).
  • Hands-on experience with MLOps frameworks and monitoring strategies (preferred).
  • Experience integrating AI models into SaaS products or productized services (preferred).
  • Familiarity with distributed systems, APIs, and modern software engineering practices (preferred).
  • Exposure to enterprise AI governance, security, or compliance considerations (preferred).

Benefits

  • Equal Opportunity Employer status with nondiscriminatory hiring practices.
  • Reasonable accommodation available for applicants with disabilities during the application process.
  • Privacy policy and California applicant privacy notice provided for data handling transparency.

Interested in this position?

Apply directly on the company website

Apply Now

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