Job Overview: We are looking for a highly skilled **ML Solutions Architect** with 5-6 years of experience in designing and implementing scalable AI/ML solutions. The candidate should have hands-on expertise with AWS cloud services and Generative AI, along with the ability to translate business requirements into technical solutions. Key Responsibilities: - Architect and deploy ML/AI solutions using AWS and other cloud platforms. - Lead the development and integration of ML models, focusing on Generative AI use cases. - Collaborate with business leaders and technical teams to design AI-driven solutions that deliver value. - Ensure the scalability, security, and performance of deployed ML systems. - Provide technical leadership in customer engagements and post-implementation support. Key Skills: - **Cloud Expertise**: Strong experience with AWS (SageMaker, Lambda, S3); familiarity with GCP or Azure is a plus. - **Generative AI**: Experience with GPT, transformers, or other Generative AI models. - **Programming**: Proficient in Python, SQL, TensorFlow, PyTorch. - **Data Pipelines**: Expertise in building and managing data pipelines, data lakes, and ML model deployment. - **Business Acumen**: Ability to align technical solutions with business goals. - **Communication**: Excellent communication skills for interacting with both technical and non-technical stakeholders.Preferred Qualifications: - AWS certifications (e.g., AWS Certified Machine Learning - Specialty). - Experience in MLOps and production-grade ML systems.
