AI / Machine Learning Architect

We are looking for an experienced AI / Machine Learning Architect with 6+ years of experience to design and lead scalable AI and ML solutions. The ideal candidate should have strong hands-on experience in machine learning, model development, AI solution architecture, and production-grade ML systems. This role is suitable for someone who can work closely with business, data science, engineering, and platform teams to translate business problems into reliable AI-driven solutions.

Design and architect end-to-end AI and machine learning solutions. Lead the development and deployment of ML models into production environments. Work with data scientists, data engineers, and application teams to build scalable AI platforms. Evaluate and recommend ML frameworks, tools, cloud services, and architecture patterns. Guide teams on model training, feature engineering, model evaluation, monitoring, and optimization. Ensure AI solutions are secure, scalable, reliable, and aligned with business goals. Support proof of concepts, solution design, technical documentation, and client discussions.

6+ years of experience in AI, machine learning, data science, or related technology roles. Strong understanding of machine learning algorithms, deep learning, NLP, predictive modeling, and model lifecycle management. Experience with Python and ML libraries such as TensorFlow, PyTorch, Scikit-learn, Pandas, and NumPy. Hands-on experience with MLOps, model deployment, CI/CD, monitoring, and versioning. Experience with cloud platforms such as AWS, Azure, or GCP. Good understanding of data pipelines, data engineering, APIs, and microservices-based architecture. Ability to design enterprise-grade AI/ML solutions. Strong communication skills and ability to work with cross-functional teams. Preferred Skills Experience with Generative AI, LLMs, RAG, vector databases, and prompt engineering. Experience with MLflow, Kubeflow, Airflow, Docker, Kubernetes, or similar tools. Exposure to big data platforms such as Spark, Databricks, or Snowflake.

Work on impactful AI and machine learning projects. Collaborate with experienced engineering, data, and product teams. Opportunity to design modern AI platforms and production-ready ML systems. Grow your career in a fast-moving AI-driven environment.