AI/ML Engineer/ Gen AI Engineer

Intellectt Inc; New Jersey; Remote; USD 80,000 - 100,000; Part time

Job summary

A technology solutions provider is seeking a Talent Acquisition Specialist to develop machine learning models and AI-driven solutions. This remote role requires strong programming skills in Python, hands-on experience with NLP, and knowledge of cloud platforms like Azure and GCP. The ideal candidate will have experience in model lifecycle management and MLOps tools. This mid-senior level position offers the opportunity to impact healthcare analytics and improve operational efficiency.

Qualifications

• Strong expertise in machine learning, data engineering, and cloud platforms.
• Experience in model lifecycle management.
• Ability to collaborate cross-functionally.

Responsibilities

• Develop and implement scalable machine learning models for predictive analytics.
• Work with data engineers to gather requirements for ML solutions.
• Build reusable ML pipelines and automate workflows.

Skills

Strong programming skills in Python

Experience building ML models end-to-end

Hands-on experience with NLP

Knowledge of cloud platforms (Azure, AWS, GCP)

Familiarity with MLOps tools

Tools

NumPy

Pandas

Scikit-learn

TensorFlow

PyTorch

MLflow

Kubeflow

Vertex AI

SageMaker

Azure ML Studio

Job description

Talent Acquisition Specialist at Intellectt.Inc

Location: Remote

Position Overview

The candidate will be responsible for designing, developing, and deploying machine learning models and AI-driven solutions to support healthcare analytics, improve operational efficiency, and drive business insights. This role requires strong expertise in machine learning, data engineering, cloud platforms, and end-to-end model lifecycle management.

Key Responsibilities

• Develop and implement scalable machine learning models for predictive analytics, classification, NLP, and optimization use cases.
• Work closely with data engineers and analysts to gather requirements, understand business problems, and translate them into ML solutions.
• Perform data preprocessing, feature engineering, model tuning, and validation.
• Build reusable ML pipelines and automate workflows through MLOps frameworks.
• Deploy models into production using cloud-native services (Azure, AWS, or GCP).
• Monitor and optimize model performance and ensure long-term model stability.
• Collaborate cross-functionally with product, engineering, and business stakeholders within Optum.
• Document solution designs, model behavior, and deployment architecture.

Mandatory Skills

• Strong programming skills in Python (NumPy, Pandas, Scikit-learn, TensorFlow / PyTorch).
• Experience building ML models end-to-end, including training, validation, deployment, and monitoring.
• Hands‑on experience with NLP, LLMs, or generative AI technologies (Hugging Face, LangChain preferred).
• Knowledge of cloud platforms such as Azure, AWS, or GCP (Optum widely uses Azure & GCP).
• Familiarity with MLOps tools such as MLflow, Kubeflow, Vertex AI, SageMaker, or Azure ML Studio.

Seniority level

Mid-Senior level

Employment type

Contract

Job function

Information Technology

Industries

Software Development