onsite
Agentic AI / Machine Learning Consultant - Vertical Relevance
ML Engineer
Lead end‑to‑end design, development, and deployment of advanced Agentic AI and machine learning solutions, collaborating with clients and cross‑functional teams to deliver high‑impact outcomes using cloud platforms and modern ML tooling.
About the role
Key Responsibilities
- Architect and implement end‑to‑end Agentic AI and machine learning pipelines, from data ingestion to model deployment.
- Collaborate with clients to translate business requirements into scalable ML solutions.
- Leverage cloud services (AWS, GCP, or Azure) for model training, inference, and monitoring.
- Integrate advanced ML frameworks (e.g., PyTorch, TensorFlow) and optimize models for performance and cost.
- Provide technical guidance to cross‑functional teams and mentor junior engineers.
Requirements
- Proven experience in designing and deploying production‑grade machine learning models.
- Strong proficiency in Python and familiarity with ML libraries such as scikit‑learn, PyTorch, or TensorFlow.
- Hands‑on experience with cloud platforms (AWS SageMaker, GCP Vertex AI, or Azure ML).
- Excellent problem‑solving skills and ability to communicate complex concepts to non‑technical stakeholders.
- Experience with model monitoring, A/B testing, and continuous integration/continuous deployment (CI/CD) pipelines for ML.
Skills
machine learningpython