Location :
Preferred: Ahmedabad, Gandhinagar, Hybrid (Can consider Remote case to case).
Experience :
8+ Years (with hands-on AI/ML architecture experience).
Education :
Ph. or Master's in Computer Science, Data Science, Artificial Intelligence, or related fields.
Job Summary
We are seeking an experienced AI/ML Architect with a strong academic background and industry experience to lead the design and implementation of AI/ML solutions across diverse industry domains.The ideal candidate will act as a trusted advisor to clients, understanding their business problems, and crafting scalable AI/ML strategies and solutions aligned to their vision.
Key Responsibilities
- Engage with enterprise customers and stakeholders to gather business requirements, problem statements, and aspirations.
- Translate business challenges into scalable and effective AI/ML-driven solutions and architectures.
- Develop AI/ML adoption strategies tailored to customer maturity, use cases, and ROI potential.
- Design end-to-end ML pipelines and architecture (data ingestion, processing, model training, deployment, and monitoring).
- Collaborate with data engineers, scientists, and business SMEs to build and operationalize AI/ML solutions.
- Present technical and strategic insights to both technical and non-technical audiences, including executives.
- Lead POCs, pilots, and full-scale implementations.
- Stay updated on the latest research, technologies, tools, and trends in AI/ML and integrate them into customer solutions.
- Contribute to proposal development, technical documentation, and pre-sales engagements.
Required Qualifications
- 8+ years of experience in the AI/ML field, with a strong background in solution architecture.
- Deep knowledge of machine learning algorithms, NLP, computer vision, deep learning frameworks (TensorFlow, PyTorch, etc.)
- Experience with cloud AI/ML services (AWS SageMaker, Azure ML, GCP Vertex AI, etc.)
- Strong communication and stakeholder management skills.
- Proven track record of working directly with clients to understand business needs and deliver AI solutions.
- Familiarity with MLOps practices and tools (Kubeflow, MLflow, Airflow, etc.
Preferred Skills
- Experience in building GenAI or Agentic AI applications.
- Knowledge of data governance, ethics in AI, and explainable AI.
- Ability to lead cross-functional teams and mentor junior data scientists/engineers.
- Publications or contributions to AI/ML research communities (preferred but not mandatory).
(ref:hirist.tech)