AI Tech Lead

Company Description

Zyphex Tech is a leading IT services and consulting company specializing in Artificial Intelligence, web development, and digital transformation. With a focus on advanced AI applications and custom development, we deliver scalable, secure, and innovative solutions tailored to meet diverse client needs. Our expertise spans machine learning, data analytics, DevOps engineering, and solution architecture to help businesses achieve operational excellence. We partner with startups, SMEs, and enterprises across industries to drive growth, streamline processes, and transform customer experiences with cutting-edge technology.

Job Title: AI Tech Lead

Location: India, Remote

Experience Required:

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5+ years total IT experience, including 2–3 years in AI/ML solution design and

implementation (agency or product environments preferred)

Role Overview

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The AI Solutions Architect at Zyphex Tech acts as the bridge between business

and development teams, translating business needs into scalable AI-driven

solutions for web, mobile, and enterprise platforms. The role involves system

design, rapid prototyping, and technical leadership, ensuring all AI solutions are

robust, efficient, and aligned with client objectives.

The ideal candidate combines strong software architecture expertise with

hands-on experience in AI/ML frameworks, data engineering, and cloud-based

deployment architectures across diverse industries.

Key Responsibilities – Solution Architecture & Framework Design

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Design end-to-end AI architectures spanning data ingestion, model development,

deployment, and integration with web/mobile platforms.

Select suitable AI/ML frameworks, cloud platforms, and tools based on

scalability and performance for client projects.

Establish design standards and document architecture blueprints, technical

diagrams, and data flows.

Technical Leadership & Collaboration

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Translate business requirements into actionable technical designs for client and

internal projects.

Guide full-stack developers and collaborate with data scientists throughout the

project lifecycle.

Support DevOps in implementing MLOps pipelines, versioning, and automation

for scalable deployments.

Advise on build vs. buy decisions for AI components, balancing cost and

strategic value.

Hands-On Development & Prototyping●

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Develop proof-of-concept models to validate solution architecture for diverse

data types (NLP , Computer Vision, Tabular, etc.).

Guide and participate in the training and fine-tuning of AI models, ensuring

scalability, accuracy, and interpretability.

Provide technical expertise in programming, debugging, and optimizing AI

applications.

Collaborate closely with development teams to integrate trained models into

production environments with efficient APIs or pipelines.

Governance, Security & Optimization

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Ensure compliance with data governance, privacy, and security standards for all

Zyphex Tech solutions.

Conduct performance reviews and identify areas for architectural improvement

and optimization.

Contribute to risk assessments and technical mitigation plans for mission-critical

applications.

Internal to Zyphex Tech

Required Skills & Qualifications

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Programming: Python (PyTorch/TensorFlow), C++ (OpenCV), R

(Keras/TensorFlow)

Architecture: Strong understanding of microservices, REST APIs, and modular AI

design

Cloud Platforms: Google Vertex AI (preferred), AWS SageMaker, or Azure ML,

GCP

MLOps: Familiarity with MLflow, Kubeflow, Airflow, or Vertex Pipelines

Data Systems: Experience with SQL/NoSQL, data lakes, and ETL orchestration

Strong communication and stakeholder management skills

Analytical, problem-solving, and detail-oriented

Proactive and adaptable with cross-functional leadership experience

Education & Experience

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Bachelor’s or Master’s degree in Computer Science, IT, or related field

Minimum 6 years in IT, including 2–3 years in AI/ML or data-driven architecture

Prior experience in solution design, integration, or enterprise architecture

preferred

Experience in projects related to web/app development, Bioinformatics,

• Healthcare, Manufacturing, or the Bioindustry vertical is a plus