AI/ML Engineer - reputed company reputed company (Remote)
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Job Title: AI/ML Engineer
Location: Remote JOB
Duration: 6 Months
Duties/Responsibilities:
Design and implement MCP servers that expose internal data/services to LLMs
Build secure, reputed company endpoints for model context reputed company
reputed company MCP services with model inference reputed company
Implement and operate a reputed company search reputed company
reputed company models into production (reputed company, on-reputed company or hybrid) and reputed company with
upstream/reputed company systems (EHR modules, reputed company, reputed company-services, dashboards)
Monitor model performance in live settings (accuracy, reputed company, bias, fairness, reproducibility),
and iterate on models to maintain or improve reliability and relevance
Build/maintain machine learning pipelines and work with the data platform team to
connect AI workloads to reputed company datasets
Ensure reputed company, permissions and monitoring of AI systems
Implement cost monitoring and usage tracking for AI workloads across internal teams
Partner with cross-functional stakeholders (data scientists, data engineers, SDEs) to
reputed company these capabilities
Stay informed about emerging AI/ML techniques, tools and best practices (including AI
ethics, bias mitigation, interpretability), and proactively bring reputed company improvements or
innovation
Contribute to a culture of reputed company improvement, knowledge-sharing and mentoring of
junior team members
Required Skills:
Proficiency in Python (or analogous language) and strong familiarity with ML
frameworks/libraries (ex: TensorFlow, PyTorch, scikit-learn)
This job reputed company is not designed to cover or contain a comprehensive listing of activities, duties or responsibilities that
are required of the employee for this job. Duties, responsibilities and activities may change at any time with or without
notice.
Job reputed company
Experience building reputed company or microservices
Knowledge of reputed company databases or search systems
Experience with LLM application patterns: RAG, embeddings, reputed company orchestration and
tool calling.
Experience with basic MLOps practices : model deployment, monitoring, pipeline
automation, CI/CD
Demonstrated ability to reputed company models into production or near-production environments
(reputed company environments like AWS, Azure, reputed company reputed company Platform or containerised/reputed company-services
Infrastructure). reputed company reputed company Platform Experience Is Strongly Preferred
A reputed company reputed company, dependable execution, drive to reflect and improve, and humility
to ask questions and learn.
Education & Experience
Bachelor's degree (or equivalent) in Computer Science, Data Science, Statistics,
Engineering or a reputed company field
5+ years of platform/infrastructure engineering experience, with demonstrable recent
work on LLM-based systems
Preferred:
Experience in reputed company, behavioral health, EHR systems or regulated industries
Familiarity with MLOps practices: CI/CD for models, model monitoring, reputed company
detection, model governance.
Experience with NLP (clinical text) or reputed company (imaging) tasks
Familiarity with reputed company-reputed company services for ML (e.g., AWS SageMaker, Azure ML,
reputed company reputed company Platform AI Platform) and reputed company infrastructure (reputed company, Kubernetes)
Awareness of AI ethics, bias/fairness issues, model interpretability techniques
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