9 Azmarq Technovation Jobs
AI/ML Architect - Data Science (12-15 yrs)
Azmarq Technovation
posted 1mon ago
Flexible timing
Key skills for the job
Job Summary :
- Define AI requirements aligned with business goals and design scalable AI architectures, frameworks, and algorithms.
- Evaluate and select AI technologies, tools, and frameworks, ensuring optimal performance.
- Lead AI/ML model development and deployment, adhering to industry standards and Responsible AI principles.
- Develop AI pipelines and ensure secure, fair, and explainable AI solutions.
- Conduct code reviews, provide technical guidance, and document AI architectures.
Role : AI/ML Architect
Experience : 12+ Years
Key Responsibilities :
- Define and implement the overall AI/ML architecture for the organization, including data pipelines, model training and deployment infrastructure, and AI/ML platforms.
- Lead the design and development of AI/ML solutions, including machine learning models, deep learning models, and natural language processing (NLP) applications.
- Guide the selection and implementation of appropriate AI/ML frameworks and tools (i.e., TensorFlow, PyTorch, scikit-learn).
- Ensure the ethical and responsible development and deployment of AI/ML systems, adhering to principles of fairness, transparency, and accountability.
- Collaborate with data scientists, data engineers, and software developers to ensure successful project execution.
- Stay abreast of the latest advancements in AI/ML research and technology and identify opportunities to leverage new technologies.
- Mentor and guide junior AI/ML engineers in their professional development.
- Communicate technical concepts effectively to both technical and non-technical audiences.
Required Skills :
- Proficiency in ML/DL frameworks: TensorFlow, PyTorch
- Programming languages: Python, R, SQL, Scala, Julia, Java, or C++
- Expertise in deploying LLMs and Generative AI applications, including techniques like PEFT and RAG.
- Knowledge of Responsible AI principles: fairness, security, and explainability.
- Experience with cloud platforms: AWS, Azure, Google Cloud
- Architectural design patterns and Service-Oriented Architecture (SOA) expertise.
- AI model lifecycle management: development, deployment, and maintenance.
- Proficient in RESTful APIs, data ingestion, storage, and processing.
Experience :
- 12+ years of experience in the field of Artificial Intelligence/Machine Learning.
Education :
- Master's degree in Computer Science, Data Science, or a related field (PhD preferred)
Functional Areas: Other
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