ML Solutions Architect

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.