We are looking for an experienced Technology Architect - AI/ML to lead the design and development of AIOps modules for our enterprise platform. The ideal candidate should have deep expertise in AI/ML technologies, architecture design, and enterprise-scale system implementation. This role involves identifying opportunities within the AIOps space, driving innovative solutions, and collaborating with cross-functional teams to ensure successful delivery. Strong technical and communication skills are essential, along with a proactive mindset and the ability to deliver results in agile environments.
Responsibilities
Design and oversee the development of AIOps modules for an enterprise platform.
Use Agile methodologies for efficient development and implementation.
Collaborate with module leads to build end-to-end AI-powered solutions.
Identify and lead development of impactful AIOps use cases.
Plan and execute POCs to evaluate new features, tools, and techniques.
Ensure integration of scalable, secure, and high-performance AI components.
Guide and mentor technical teams through architecture and implementation decisions.
Stay updated with emerging trends in AI, LLMs, and system observability.
Technical Skills & Experience
Experience with Flask; familiarity with other Python frameworks (FastAPI, Django) is advantageous.
Extensive hands-on experience with Python ML libraries such as TensorFlow, PyTorch, Scikit-learn.
Proficient in developing and deploying AI/ML models, including LLMs and Agentic AI architectures.
Understanding of data structures, data modeling, and data pipelines (preferably in PySpark, Apache Airflow).
Experience working with vector databases such as Milvus, pgvector, or similar.
Proficiency with NoSQL databases such as MongoDB, Cassandra.
Exposure to data visualization tools and practices.
Hands-on experience with cloud platforms and Kubernetes (K8s).
Proficiency with Git and CI/CD pipelines.
Excellent problem-solving, communication, and articulation skills.
Ability to lead cross-functional teams and translate business needs into scalable AI solutions.
Qualification
Bachelor's or Master's degree in Computer Science, Engineering, or related field.
10+ years of experience in technology roles, with at least 5 years in AI/ML solutions architecture.
* Demonstrated ability to lead and deliver large-scale AI projects independently.
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