Infotech - Artificial Intelligence Architect - Machine Learning Models

3 weeks ago

Mumbai, Maharashtra, India Datavail Full time

Job Title : AI Architect.

Location : Hyd/Mum/Bang.

Exp Level : 15+.

Education : Any Dgree.

Job Summary :

- Scope out, design and oversee the architecture of AI and machine learning solutions across products and platforms for our clients.

- Collaborate with team members to translate business requirements into AI-enabled solutions at either a Roadmap, Proof of Value, Full Implementation or Managed Service support capability and service offering.

- Aid in the selection of appropriate tools, frameworks, and technologies for AI development in the Google (GCP) cloud using related technologies.

- Create reusable and scalable AI models and pipelines for our clients thereby ensuring performance, reliability, and security.

- Develop and enforce best practices for model governance, MLOps, and responsible AI.

- Evaluate and integrate third-party AI services and APIs when needed.

- Drive innovation by staying current with AI trends and emerging technologies (e., LLMs, edge AI).

Required Qualifications :

- Bachelor's or Master's degree in Computer Science, Data Science, AI, or related field.

- 7+ years of experience in software development, with at least 3 years in AI/ML architecture roles.

- Strong proficiency in machine learning, deep learning, data engineering, and distributed systems.

- Experience with Google cloud-based AI platforms such as Google Vertex AI.

- Proficiency in Python and experience with ML libraries.

- Solid understanding of AI data governance, model explainability, and ethical AI principles.

- Excellent communication skills to work with both technical and non-technical stakeholders.

- Demonstrated experience delivering scalable AI projects that drive business value.

Preferred Skills :

- Experience deploying generative AI models and LLMs leveraging RAG models (e., GPT, Google, Claude, open-source models).

- Familiarity with containerization (Docker, Kubernetes) and CI/CD for ML.

- Knowledge of NLP, computer vision, or reinforcement learning.

- Hands-on development and support of AI solutions.

- Solid client communication skills

(ref:hirist.tech)

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