Job Description


Job Overview

  • Job ID:

    J54768

  • Job Title:

    AI/ML Engineer

  • Location:

    Albany, NY

  • Duration:

    8 Months + Extension

  • Domain Exposure:

    Telecom

  • Client:

    To Be Discussed Later

  • Employment Type:

    W-2, 1099, C2C

  • Work Authorization:

    US Citizen, Green Card, H-1B, OPT-EAD, CPT, Other

Job Title: AI/ML Engineer

Location: Albany, NY

Duration: 8 Months + Extension

Bill Rate: $73/hour (C2C)

Job Type: W-2, 1099, C2C

Client: To Be Discussed Later

Work Authorization: US Citizen, Green Card, OPT-EAD, CPT, H-1B, H4-EAD, Other

Job Summary:

We are seeking an experienced AI/ML Engineer to design, develop, and deploy artificial intelligence and machine learning solutions. The ideal candidate should have strong programming skills, experience with machine learning algorithms, deep learning, data processing, and model deployment.

Key Responsibilities

  • Design, develop, and implement machine learning models and AI solutions.
  • Build predictive models using supervised and unsupervised learning techniques.
  • Develop AI-powered applications using Python and machine learning frameworks.
  • Work with large datasets to perform data preprocessing, feature engineering, and model training.
  • Implement deep learning models using TensorFlow and PyTorch.
  • Develop Natural Language Processing (NLP) solutions for text classification and sentiment analysis.
  • Build and deploy generative AI and Large Language Model (LLM) applications.
  • Develop and optimize neural networks and predictive algorithms.
  • Integrate AI/ML models with REST APIs and enterprise applications.
  • Perform model evaluation, validation, and hyperparameter tuning.
  • Deploy machine learning models using cloud platforms such as AWS, Azure, or GCP.
  • Collaborate with data scientists, data engineers, and software development teams.
  • Monitor model performance and improve accuracy and scalability.

Required Technical Skills

  • Python, SQL, and R.
  • Machine Learning and Deep Learning.
  • TensorFlow, PyTorch, and Scikit-learn.
  • Natural Language Processing (NLP).
  • Generative AI and Large Language Models (LLMs).
  • Neural Networks and Predictive Analytics.
  • Pandas, NumPy, and Matplotlib.
  • Feature Engineering and Model Optimization.
  • REST APIs and Microservices.
  • Docker and Kubernetes.
  • AWS SageMaker, Azure ML, or Google Vertex AI.
  • Git, Jenkins, and CI/CD pipelines.

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Equal Opportunity Employer

We are an equal opportunity employer. All aspects of employment including the decision to hire, promote, discipline, or discharge, will be based on merit, competence, performance, and business needs. We do not discriminate on the basis of race, color, religion, marital status, age, national origin, ancestry, physical or mental disability, medical condition, pregnancy, genetic information, gender, sexual orientation, gender identity or expression, national origin, citizenship/ immigration status, veteran status, or any other status protected under federal, state, or local law.