Job ID: JOB_ID_8767
Job Opportunity: AI/ML Manager (Remote)
We are seeking a hands-on technical leader to manage a small team of engineers and deliver AI/ML solutions from design through production. This role balances people leadership, technical depth, and delivery accountability, ideal for a manager who still codes, reviews designs, and actively guides implementation.
This role supports enterprise AI initiatives across machine learning, generative AI, LLM-based solutions, and data-driven automation, aligned with healthcare and regulated industry standards.
Key Responsibilities:
Technical Leadership & Delivery:
- Lead the design, development, and deployment of AI/ML solutions in production environments.
- Guide architecture decisions for ML pipelines, model deployment, and inference at scale.
- Review and approve technical designs, code, and model implementation approaches.
- Ensure solutions meet security, reliability, scalability, and responsible AI standards.
- Partner with architects and platform teams on cloud-based AI implementations (Azure preferred).
People & Team Management:
- Manage and mentor a team of AI/ML engineers (onshore and offshore).
- Support sprint planning, backlog prioritization, and delivery commitments.
- Conduct performance coaching, skill development, and technical mentoring.
- Foster strong collaboration across engineering, data, product, and business teams.
AI / ML Engineering Execution:
- Oversee development of: Machine learning models (supervised/unsupervised), Generative AI and LLM based solutions, Retrieval Augmented Generation (RAG) pipelines, Model deployment and monitoring workflows.
- Promote MLOps best practices including CI/CD, model versioning, monitoring, and retraining.
- Ensure compliance with data governance, privacy, and healthcare regulations.
Stakeholder Collaboration:
- Translate business problems into AI/ML technical solutions.
- Communicate progress, risks, and outcomes to technical and non-technical stakeholders.
- Partner with product, compliance, and business leaders to align AI solutions to outcomes.
Required Qualifications:
- 7-10 years of overall engineering experience with 3+ years in AI/ML engineering.
- 2+ years of people or technical team leadership experience.
- Strong hands-on experience with Python and ML frameworks (TensorFlow, PyTorch, scikit-learn).
- Experience with cloud platforms (Azure preferred).
- Experience with ML model deployment and productionization.
- Experience building and deploying LLM or GenAI solutions is strongly preferred.
- Solid understanding of data pipelines, APIs, and distributed systems.
Special Requirements
Remote. Healthcare and regulated industry standards apply. Experience building and deploying LLM or GenAI solutions is strongly preferred. Azure preferred for cloud platform.
Compensation & Location
Salary: $1 – $1 per year (Estimated)
Location: Remote
Recruiter / Company – Contact Information
Recruiter / Employer: E-Solutions Inc.
Email: sica@daticsinc.com
Recruiter Notice:
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