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Skills

AWS
AI/ML
Python
pytorch
NLP
Graphana
Splunk
Gen AI
CI/CD

Summary

Job Role: MlOps Engineer /AI/ML Engineer - W2 Only

Location: Plano, Texas - Onsite

Interview Mode: In- Person Visa: & GC Considering Only Local to Texas

Required Experience: Min 14 Years
Note :Not considering OPT/CPT & No third-party

MUST have skills

AI/ML knowledge (2-3 years)
AWS 8 years
observability tools - Grafana, Slunk, Dynatrace
automation scripting languages - Bash, shell script, groovy

NICE to have skills

programming language - java
DEvOps skillset
terraform

Key Responsibilities

Design, develop, and deploy AI/ML models and agent-based systems that automate technology and platform workflows for the internal Deposits2.0 platform.
Lead the integration of intelligent agents into operational processes to improve decision-making, workflow execution, and process optimization across engineering and operations.
Build AI-assisted tooling that improves Infrastructure as Code (IaC) development, validation, and change management (examples: Terraform, Ansible, CloudFormation style patterns) across cloud and on-prem environments.
Partner with DevOps and platform engineering teams to enhance CI/CD pipelines using AI/ML for signal detection, predictive analytics, and automated remediation.
Develop AI-powered observability automation to monitor, analyze, and proactively manage application and infrastructure health for internal platform services.
Automate alert triage, root cause analysis assistance, and incident response workflows using ML-driven techniques, with clear guardrails and measurable outcomes.
Engineer or enable data pipelines and feature workflows needed to support model training, evaluation, and real-time or near-real-time inference use cases.
Implement and operate MLOps capabilities (deployment patterns, monitoring, quality gates, rollback strategies, documentation) aligned to enterprise expectations for reliability and risk management.
Collaborate with cross-functional teams (engineering, product, SRE, operations, architecture, controls) to identify high-value automation opportunities and deliver outcomes that can be adopted at scale.
Continuously evaluate emerging AI/ML approaches and tooling, and translate them into practical, secure, and maintainable platform capabilities.

Required Qualifications (Minimum)

Bachelor s or Master s degree in Computer Science, Engineering, or related field, or equivalent practical experience.
14+ years total engineering experience with 8+ years hands-on experience delivering AI/ML engineering solutions in production environments.
Strong programming skills in Python; Java experience is a plus, especially for enterprise platform integration.
Experience with ML frameworks such as PyTorch, TensorFlow, and scikit-learn, including model training and evaluation workflows.
Hands-on experience building agent-based systems and integrating them into real operational or engineering workflows.
Experience applying AI/ML to automate or improve Infrastructure as Code workflows (examples: generation assistance, validation, policy checks, drift detection, change risk scoring).
Familiarity with observability fundamentals and toolsets (examples: Prometheus, Grafana, ELK stack) and experience automating operational workflows using AI/ML.
Strong foundations in data structures, algorithms, machine learning, statistics, and software engineering best practices.
Experience integrating AI capabilities into modern software development practices and supporting legacy modernization or code transformation initiatives.
Strong communication and collaboration skills, with the ability to work effectively across engineering and operations stakeholders.

Employers have access to artificial intelligence language tools (“AI”) that help generate and enhance job descriptions and AI may have been used to create this description. The position description has been reviewed for accuracy and Dice believes it to correctly reflect the job opportunity.

Dice Id: 10115448
Position Id: 9025733
Posted 5 days ago

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Naveen Kodati

Recruiter @ Ampcus Inc

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MlOps Engineer / AI/ML Engineer - AWS / Plano, TX / W2 Only / Vishal

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