[Apply in 3 Minutes] AI/ML Architect

3 weeks ago

Ahmedabad India INTECH Full time

Job Description 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)

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