AI/ML Engineer (W2, F2F) jobs in United States
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SIRITECH SOLUTIONS CORP · 1 month ago

AI/ML Engineer (W2, F2F)

positionNew York, NY
timeContract
remoteOnsite
seniorityMid Level

SIRITECH SOLUTIONS CORP is seeking an AI/ML Engineer to build end-to-end AI/ML systems. The role involves developing scalable ML pipelines, production-grade models, and MLOps infrastructure for training, deployment, monitoring, and automation.

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H1B Sponsor Likelynote

Responsibilities

Build end-to-end AI/ML systems, including scalable ML pipelines, production-grade models, and full MLOps infrastructure for training, deployment, monitoring, and automation
Develop solutions using Python, Docker, Kubernetes, Bash, PowerShell, SQL/NoSQL/vector databases, and cloud platforms such as AWS, Azure, GCP, or OCI
Skilled in Apache Kafka for event-driven systems
Design and deploy ML models across domains like NLP/LLMs (BERT, GPT, RAG, fine-tuning), time-series forecasting, recommender systems, and distributed training on multi-GPU or multi-node setups
Use MLOps and workflow tools including MLflow, Weights & Biases, Kubeflow, Airflow, and cloud AI services (Azure AI, AWS SageMaker/Bedrock, GCP Vertex AI, OCI AI)
Build internal tools, CLI-first utilities, and efficient ML workflows for high-scale production environments
Optional experience includes CI/CD (Azure DevOps, GitHub Actions, Jenkins), computer vision (PyTorch/TensorFlow), Go/Rust, feature stores, model optimization, edge deployment, A/B testing, open-source ML, and real-time streaming (Kafka, Kinesis)

Qualification

AI/ML systemsPythonMLOpsDockerKubernetesSQL/NoSQLAWSAzureGCPApache KafkaNLP/LLMsCI/CDBashPowerShellGoRustComputer visionFeature storesModel optimizationEdge deploymentA/B testingOpen-source MLReal-time streaming

Required

Build end-to-end AI/ML systems, including scalable ML pipelines, production-grade models, and full MLOps infrastructure for training, deployment, monitoring, and automation
Develop solutions using Python, Docker, Kubernetes, Bash, PowerShell, SQL/NoSQL/vector databases, and cloud platforms such as AWS, Azure, GCP, or OCI
Skilled in Apache Kafka for event-driven systems
Design and deploy ML models across domains like NLP/LLMs (BERT, GPT, RAG, fine-tuning), time-series forecasting, recommender systems, and distributed training on multi-GPU or multi-node setups
Use MLOps and workflow tools including MLflow, Weights & Biases, Kubeflow, Airflow, and cloud AI services (Azure AI, AWS SageMaker/Bedrock, GCP Vertex AI, OCI AI)
Build internal tools, CLI-first utilities, and efficient ML workflows for high-scale production environments

Preferred

CI/CD (Azure DevOps, GitHub Actions, Jenkins)
computer vision (PyTorch/TensorFlow)
Go/Rust
feature stores
model optimization
edge deployment
A/B testing
open-source ML
real-time streaming (Kafka, Kinesis)

Company

SIRITECH SOLUTIONS CORP

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SiritechSolutions Corp (“Siritech”) is an IT professional services firm providing expertise to empower clients’ businesses.
dateFounded in 2023
location
Tampa, Florida, US
people-size51-200 employees
web-link
https://www.siritechsol.com

H1B Sponsorship

SIRITECH SOLUTIONS CORP has a track record of offering H1B sponsorships. Please note that this does not guarantee sponsorship for this specific role. Below presents additional info for your reference. (Data Powered by US Department of Labor)
Distribution of Different Job Fields Receiving Sponsorship
Represents job field similar to this job
Trends of Total Sponsorships
2025 (4)
2024 (9)
2023 (7)

Funding

Current Stage
Growth Stage
Company data provided by crunchbase