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Intentico
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Senior Staff Engineer, AI

Senior Staff Engineer, AI

Intentico

10 - 15 years

9 - 13 Lacs

bengaluru

Posted:22 hours ago| Platform:

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Skills Required

system architecture computer vision backend gcp machine learning architectural design system design open source monitoring python

Work Mode

Work from Office

Job Type

Full Time

Job Description

Senior Staff Engineer, AI
Location: Bengaluru, KA, 560076 Key Skills:

Architect scalable AI systems

Guide model development and deployment best practices

Mentor teams across applied ML, data, and backend engineering

Key Responsibilities: AI System Architecture & Design:

Lead the design of large-scale AI/ML systems from data ingestion to model training, deployment, and monitoring.

Define best practices for model lifecycle management, feature engineering, and MLOps infrastructure.

Technical Expertise:

Drive high-impact AI initiatives that span multiple teams and product lines.

Review and influence the design and implementation of models, APIs, and distributed ML pipelines.

Ensure scalability, performance, and ethical use of AI systems.

Research & Innovation:

Stay at the forefront of AI and machine learning advances, bringing research into production environments.

Evaluate and integrate emerging techniques such as LLMs, reinforcement learning, and generative AI where applicable.

Mentorship & Collaboration:

Mentor senior ML engineers and data scientists on technical best practices, system design, and experimentation methodology.

Partner with product and data teams to translate business challenges into AI-driven solutions.

Execution & Delivery:

Lead the technical roadmap for AI systems, ensuring timely delivery of models and services with measurable outcomes.

Establish standards for model testing, explainability and monitoring.

Must-Have:

10+ years of experience in software engineering or data science, with at least 3+ years in applied AI/ML leadership roles.

Proven track record of architecting, deploying, and maintaining production-scale ML systems.

Strong programming skills in Python and proficiency with ML frameworks (PyTorch, TensorFlow, etc.).

Experience with large-scale data systems and ML pipelines (Kubeflow, Airflow, Vertex AI, or SageMaker).

Deep understanding of machine learning fundamentals model training, evaluation, and serving.

Expertise in cloud-based ML infrastructure (AWS, GCP, or Azure) and containerization (Kubernetes, Docker).

Excellent communication skills and ability to influence technical direction across multiple teams.

Nice-to-Have:

Experience with LLMs, transformer architectures, vector databases, and retrieval-augmented generation (RAG).

Understanding of AI safety, model interpretability, and responsible AI principles.

Publications, patents, or open-source contributions in AI/ML.

Background in applied domains such as NLP, computer vision, or recommendation systems.

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Senior Staff Engineer, AI