AI/ML Engineer

Raas Infotek LLC Logo
Raas Infotek LLC
United States (Remote)
  • Production
  • Applications have closed

Job Title: AI/ML Engineer

Contract: W2 ONLY

Job Description

We are seeking a highly skilled AI/ML Engineer to design, develop, and deploy machine learning solutions that solve real-world business challenges. The ideal candidate will have strong expertise in data science, machine learning, and software engineering, with the ability to translate business problems into scalable AI/ML models.

Responsibilities

  • Design, develop, and optimize machine learning and deep learning models for various business use cases.

  • Build and maintain end-to-end ML pipelines, including data preprocessing, feature engineering, model training, evaluation, and deployment.

  • Collaborate with data scientists, data engineers, and business stakeholders to identify AI/ML opportunities.

  • Deploy ML models into production using cloud platforms (AWS, Azure, Google Cloud Platform) or on-premise infrastructure.

  • Monitor, maintain, and continuously improve ML models post-deployment.

  • Research and apply new algorithms, frameworks, and best practices in AI/ML.

  • Ensure solutions follow best practices in scalability, performance, and data governance.

Required Skills & Qualifications

  • Bachelor s or Master s degree in Computer Science, Data Science, AI/ML, or related field.

  • 12 years of experience in building and deploying machine learning models.

  • Proficiency in Python , R , or Java with libraries such as TensorFlow, PyTorch, scikit-learn, or Keras.

  • Strong understanding of supervised, unsupervised, and deep learning techniques.

  • Hands-on experience with NLP, Computer Vision, or Generative AI is a plus.

  • Experience with data pipelines and big data tools (Spark, Hadoop, Kafka).

  • Knowledge of cloud AI/ML services (AWS SageMaker, Azure ML, Google Cloud Platform Vertex AI).

  • Strong problem-solving and analytical skills with ability to translate business needs into technical solutions.

Preferred Skills

  • Experience with MLOps frameworks (MLflow, Kubeflow, Airflow).

  • Familiarity with containerization and orchestration (Docker, Kubernetes).

  • Knowledge of data governance, security, and compliance in AI systems.

  • Strong communication and collaboration skills.

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