Job Description :

We are looking for an experienced Machine Learning Architect to design and lead enterprise-scale AI/ML solutions. The ideal candidate should have deep expertise in machine learning, AI architecture, data science, MLOps, cloud platforms, and production-grade model deployment.

Key Responsibilities :

- Define scalable AI/ML architecture and technology strategy aligned with business objectives.

- Design end-to-end ML solutions covering data ingestion, feature engineering, model development, deployment, and monitoring.

- Lead architecture and technical design for predictive analytics, NLP, recommendation, GenAI, and other AI use cases.

- Evaluate ML frameworks, algorithms, platforms, and emerging AI technologies.

- Establish MLOps practices covering model versioning, deployment, monitoring, governance, and lifecycle management.

- Work closely with data engineers, data scientists, software engineers, and business stakeholders.

- Drive PoCs and productionization of machine learning solutions.

- Optimize models and architectures for scalability, performance, reliability, and cost.

- Define best practices for AI/ML development, security, responsible AI, and governance.

- Mentor AI/ML engineers and provide technical leadership across projects.

- Support solutioning, technical proposals, client workshops, and pre-sales activities.

Required Skills :

- 11-20 years of experience in AI/ML, Data Science, or Machine Learning Architecture.

- Strong expertise in Python and Machine Learning algorithms.

- Hands-on experience with TensorFlow, PyTorch, Scikit-learn, or equivalent.

- Strong understanding of deep learning, NLP, predictive modelling, and model optimization.

- Experience with MLOps, ML pipelines, model deployment, and monitoring.

- Strong experience with AWS, Azure, or GCP AI/ML services.

- Experience with Docker, Kubernetes, CI/CD, APIs, and microservices.

- Exposure to Generative AI, LLMs, RAG, embeddings, and vector databases is highly desirable.

- Strong architecture, problem-solving, communication, and stakeholder-management skills.