Position Overview

Athos Therapeutics is looking for a Director of AI & Machine Learning, who has hands-on AI skills and provides strategic leadership for all artificial‑intelligence initiatives across the organization. Reporting to senior executive leadership, you will implement the current AI tasks, build high‑performing research and engineering teams, and ensure that AI solutions align with business objectives, ethical standards, and regulatory requirements. This role balances long‑term innovation with short‑term product impact, driving AI adoption that creates measurable value for life science and pharmaceutical industries.

Key Responsibilities

·    Hands-on Skills

·    Proficiency in Python and AI libraries (PyTorch, scikit‑learn); experience with data‑processing frameworks (Pandas)

·    Strong development practices (version control, CI/CD, testing); familiarity with Docker/Kubernetes and cloud platforms

·    Proven track record building end‑to‑end AI solutions

·    Strategic Leadership

·    Define and communicate a multi‑year AI strategy that supports the company’s overall mission and growth targets.

·    Prioritize AI initiatives based on market opportunity, technical feasibility, and ROI.

·    Serve as the primary liaison between AI teams and C‑suite executives, translating technical concepts into business outcomes.

·    Team Building & Management

·    Recruit, mentor, and retain world‑class AI researchers, engineers, data scientists, and product leads.

·    Foster cross‑functional collaboration with product, engineering, data, security, legal, and compliance groups.

·    Program Oversight

·    Oversee the end‑to‑end lifecycle of AI projects—from ideation and research through prototyping, production deployment, and post‑launch monitoring.

·    Implement robust MLOps practices, ensuring models are reproducible, scalable, and maintainable.

·    Allocate resources (budget, compute, talent) efficiently across research, development, and operational teams.

·    Ethics, Governance, & Compliance

·    Define and enforce AI ethics guidelines covering fairness, transparency, accountability, and privacy.

·    Ensure AI deployments comply with relevant regulations (GDPR, CCPA, sector‑specific standards).

Required Qualifications

·    Experience – 10+ years of hands-on experience in AI/ML, with at least 3 years in a leadership role (Director, Head of AI, VP of Machine Learning, etc.).

·    Technical Depth – Proven expertise in modern AI methods (deep learning, large language models, computer vision, reinforcement learning, generative AI) and hands‑on experience building production‑grade systems.

·    Leadership Acumen – Demonstrated ability to grow high‑impact teams, manage large budgets, and influence cross‑functional stakeholders.

·    Strategic Thinking – Track record of defining and executing AI roadmaps that deliver measurable business value.

·    Communication Skills – Exceptional ability to convey complex technical concepts to non‑technical audiences and to champion AI initiatives at the executive level.

·    Ethical Awareness – Strong understanding of AI ethics, responsible AI practices, and regulatory landscapes.

·    Education – Advanced degree (Ph.D. or Master’s) in Computer Science, Electrical Engineering, Mathematics, Statistics, or a related field with a focus on AI/ML.

Preferred (Nice‑to‑Have) Attributes

·    Experience scaling AI platforms in cloud environments (AWS, GCP, Azure).

·    Familiarity with MLOps ecosystems (Kubeflow, MLflow, Terraform, CI/CD pipelines).

·    History of successful collaborations with academia, research labs, or open‑source communities.

·    Knowledge of domain‑specific AI applications (e.g., pharmaceutical, healthtech).

·    Proven record of securing patents or publishing influential research.

What we offer:

• Competitive salary based on your level of experience

• Medical, vision and dental insurance plans

• An exciting working environment at the forefront of AI-based precision therapeutics

• A highly diverse and interdisciplinary team

• Social and team-building activities

• Responsibility and possibilities for further professional development