Manager for Artificial Intelligence

10 hours ago


Hyderabad, Telangana, India AMPS Full time ₹ 20,00,000 - ₹ 25,00,000 per year

Company: AMPS - Advanced Medical Pricing Solutions

Job Title:
Manager – Artificial Intelligence & Machine Learning

Location:
Hyderabad, India

Industry:
IT | US Healthcare

Experience:
8 – 12 Years

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 IT expansion, we are seeking an experienced AI/ML Manager
with 8–12 years of professional experience to lead our Artificial Intelligence and Machine Learning initiatives. The role requires a strong blend of
technical expertise, leadership, and business acumen
. The ideal candidate will guide teams in building and deploying scalable AI/ML solutions, establish best practices, and ensure delivery of impactful outcomes aligned with organizational goals.

Key Responsibilities:

AI/ML Strategy & Leadership

  • Define and implement the
    AI/ML roadmap
    aligned with enterprise strategy.
  • Evaluate and integrate
    emerging AI technologies, frameworks, and tools
    .
  • Champion adoption of AI/ML across multiple business domains.

Solution Development & Deployment

  • Lead design, development, and deployment of
    AI/ML models
    for real-world business problems (NLP, computer vision, recommendation systems, generative AI, forecasting, etc.).
  • Oversee the
    end-to-end ML lifecycle
    – data preparation, feature engineering, training, validation, deployment, monitoring, and retraining.
  • Ensure solutions are
    scalable, secure, and optimized for performance and cost
    .

Team Leadership & Mentoring

  • Manage and mentor a team of
    data scientists, ML engineers, and analysts
    .
  • Build team capability by driving
    training, certifications, and innovation projects
    .
  • Foster collaboration across engineering, data, and business units.

Governance, Ethics & Compliance

  • Establish
    MLOps practices
    for continuous integration and delivery of ML models.
  • Ensure compliance with
    AI ethics, explainability, and data privacy regulations
    .
  • Define KPIs and monitoring mechanisms to track AI model performance and impact.

Stakeholder Engagement

  • Partner with business leaders to
    translate requirements into AI solutions
    .
  • Present AI/ML outcomes in a
    clear, non-technical way
    to senior leadership.
  • Collaborate with technology partners, startups, and academia for innovation.

Required Skills & Competencies:

  • Technical Expertise
  • Strong experience with Python/R, SQL
    , and ML/DL libraries (
    TensorFlow, PyTorch, scikit-learn, Keras
    ).
  • Experience with
    cloud AI/ML platforms
    – Azure ML, AWS SageMaker, GCP Vertex AI.
  • Knowledge of
    deep learning, NLP, computer vision, reinforcement learning, and generative AI
    .
  • Familiarity with
    big data tools
    (Spark, Hadoop, Databricks) is a plus.
  • Strong understanding of
    MLOps frameworks
    (MLflow, Kubeflow, Docker, Kubernetes, Git).
  • Leadership & Business Skills
  • Proven track record of managing AI/ML teams and delivering enterprise-grade solutions
    .
  • Strong stakeholder management, influencing, and presentation skills.
  • Ability to balance
    hands-on technical depth with strategic leadership
    .

Qualifications & Experience:

  • Bachelor's degree in Computer Science, AI/ML, Data Science, or related field. Master's/Ph.D. preferred.
  • 8–12 years of total experience, with
    5+ years in AI/ML development and delivery
    .
  • At least
    3–5 years of people management experience
    in data/AI teams.
  • Prior experience in deploying
    production-grade AI/ML solutions
    in enterprise settings.

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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