Artificial Intelligence Engineer

Hope you are having a great week. I work for Bison Global Search, and we're currently seeking a Senior AIML Engineer for a Product Company. They work on integrated procedure documentation and workflow automation solutions in healthcare domain.

Please find below details about the role :

Location: Bengaluru, India (Indiranagar)

Company: Product Company (Healthcare Domain)

Mode of work: Hybrid role (3 days)

Designation: Senior AIML Engineer

Skills Required: AIML Engineering, Python, SQL, CICD Pipelines, Cloud.

Experience: 6 Years

Mode of Interview: Virtual + F2F

Please find below complete JD. If this interests you, please apply to this email

Job Summary:

Design, develop, and deploy AI/ML models and intelligent systems that enhance clinical decision-making, operational efficiency, and patient outcomes. Collaborate with cross-functional teams to integrate AI capabilities into scalable, secure, and compliant SaaS platforms.

Key Responsibilities:

1. Machine Learning & Deep Learning

• Expertise in supervised, unsupervised, and reinforcement learning
• Familiarity with CNNs, RNNs, transformers, and generative models
• Proficiency in TensorFlow, PyTorch, Scikit-learn

1. Programming & Software Engineering

• Advanced skills in Python, R, SQL; optionally Java or Scala
• Experience with CI/CD, Docker, Kubernetes, GitOps

1. Data Engineering & Architecture

• Building scalable data pipelines and real-time analytics
• Experience with Spark, Hadoop, and cloud-native platforms (Azure, AWS, GCP)

1. Healthcare Compliance & Interoperability

• Knowledge of HIPAA, HL7, FHIR standards
• Experience integrating AI into EHRs and clinical workflows

1. AI Strategy & Responsible Use

• Ethical AI design, bias mitigation, and explainability
• Ability to align AI initiatives with business and clinical goals

Required Qualifications:

Education & Experience

• Bachelors or Masters degree in Computer Science, Data Science, or related field.
• 6+ years of experience in AI/ML engineering, preferably within healthcare SaaS environments
• Proven track record of deploying models in production and integrating with cloud-native platforms

Other Preferred Knowledge, Skills, Abilities or Certifications:

• Cloud & AI Certifications
• Healthcare Standards & Compliance
• Ethical AI & Responsible Use
• Data Engineering & Real-Time Analytics