AI Engineer

6 days ago


Hyderabad, Telangana, India AMPS Full time ₹ 8,00,000 - ₹ 24,00,000 per year

Company: AMPS - Advanced Medical Pricing Solutions

Job Title: AI Engineer

Location:
Hyderabad, India

Industry:
IT | US Healthcare

About AMPS:

AMPS
is a leading US-based healthcare technology company focused on delivering innovative cost containment, payment integrity and pharmacy savings solutions. As part of our global expansion, we're growing our IT operations in Hyderabad and seeking a skilled 
AI Engineer
 to join our mission-driven team.

In this role, you'll design and deploy AI and machine learning models that power real-world healthcare outcomes. You'll collaborate across data science, engineering, and business teams to build scalable, ethical, and high-performance AI solutions integrated into enterprise systems.

Key Responsibilities:

· Design, develop, and implement machine learning and artificial intelligence models aligned with organizational objectives.

· Collaborate effectively with data scientists, engineers, and business stakeholders to ascertain requirements and translate them into functional AI solutions.

· Conduct comprehensive data analysis to derive actionable insights and enhance model accuracy and efficiency.

· Remain abreast of emerging AI technologies, methodologies, and industry best practices to ensure the organization's competitive advantage.

· Optimize AI workflows and infrastructure to support scalability, reliability, and performance.

· Facilitate seamless integration of AI models into existing enterprise systems and applications.

· Implement MLOps practices including CI/CD pipelines, model versioning, and performance monitoring in production environments.

· Ensure AI solutions adhere to ethical standards, data privacy regulations, and model transparency requirements.

· Prepare detailed documentation outlining AI methodologies, development processes, and results for internal and external stakeholders.

Required Qualifications

· Bachelor's or Master's degree in
Computer Science, Data Science, Artificial Intelligence
, or a related discipline.

· Strong theoretical understanding of machine learning principles, including optimization, probability, linear algebra, and statistical modeling.

· Demonstrated experience in the development and application of AI and machine learning techniques.

· Proficiency in programming languages such as Python, R, or Java.

· Hands-on experience with machine learning frameworks (e.g., TensorFlow, PyTorch, Scikit-learn).

· Experience with MLOps tools such as Mlflow or Kubeflow, and containerization technologies like Docker.

· Exposure to Large Language Models (LLMs) and Generative AI workflows, including RAG and GenAIOps practices.

· Experience developing and integrating AI models using APIs for enterprise applications.

· Strong software engineering skills, including version control, testing, and writing maintainable code.

· Familiarity with deploying and scaling AI models in cloud platforms such as Microsoft Azure, AWS, or Google Cloud.

· Solid understanding of data structures, algorithms, statistical analysis, and model evaluation metrics.

· Strong communication and stakeholder engagement skills, with the ability to work in agile teams and align AI solutions with business goals.

Preferred Qualifications:

· Expertise in specialized AI domains such as Natural Language Processing, Computer Vision, or Deep Learning.

· Familiarity with Microsoft Azure Foundry components such as Azure Machine Learning, Azure Data Factory, Synapse Analytics, and Azure DevOps.

· Experience with big data technologies such as Hadoop or Apache Spark.

· Proven track record in deploying AI models within production environments and managing their lifecycle.

Why Join AMPS?

  • Work at the intersection of healthcare, data, and technology.
  • Contribute to transforming the U.S. healthcare system.
  • Build systems that drive real revenue and global impact.
  • Collaborate with leadership and international teams.
  • Thrive in a fast-paced, high-impact environment.

Interested?

Apply now or DM us on LinkedIn to be part of AMPS' growing tech team.

Email:

career-


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