Raas Infotek LLC

Raas Infotek LLC

Senior AI/ML Engineer

Texas City, Texas, USA · Senior · Contract

Sponsorship not specifiedDetected 42 days ago
PythonFastAPIFlaskCode ReviewSQLNoSQLVector DatabasesAWSGCPAzureCloud PlatformsDockerCI/CDDevOpsRESTKafkaMachine LearningDeep LearningTensorFlowPyTorchscikit-learnSparkAirflowData Science

About the role

  • The ideal candidate will have a strong background in machine learning, deep learning, generative AI, MLOps, cloud platforms, and large-scale data processing.
  • Ensure model reliability, explainability, fairness, compliance, and responsible AI practices.
  • Mentor junior engineers and provide technical leadership across AI/ML initiatives.

Responsibilities

  • Design, develop, and deploy scalable AI/ML solutions for complex business challenges.
  • Develop and optimize Generative AI applications leveraging Large Language Models (LLMs), Retrieval-Augmented Generation (RAG), vector databases, prompt engineering, and AI agents.
  • Build and maintain robust MLOps pipelines for automated model training, deployment, versioning, monitoring, and governance.
  • Collaborate with data scientists, data engineers, software engineers, product managers, and business stakeholders to translate business requirements into AI solutions.
  • Drive AI architecture discussions and establish best practices for model development, deployment, scalability, and security.
  • Develop APIs and microservices for model serving and AI application integration.
  • Optimize model performance, inference latency, and resource utilization in production environments.
  • Lead code reviews, technical design reviews, and architecture governance activities.
  • Work closely with DevOps and cloud teams to implement scalable AI infrastructure.
  • Support production deployments, troubleshooting, monitoring, and continuous improvement initiatives.

Requirements

  • 12+ years of overall software engineering experience with at least 6+ years focused on AI/ML engineering.
  • Hands-on experience with Python and AI/ML development ecosystems.
  • Extensive experience with TensorFlow, PyTorch, Scikit-learn, Keras, XGBoost, and related frameworks.
  • Strong knowledge of NLP, Transformers, LLMs, Generative AI, and foundation models.
  • Expertise in prompt engineering, fine-tuning, model evaluation, and LLM optimization techniques.
  • Experience working with vector databases such as Pinecone, Weaviate, Chroma, or FAISS.
  • Strong understanding of distributed data processing frameworks including Spark and Databricks.
  • Experience with cloud platforms such as AWS, Azure, and Google Cloud Platform.
  • Hands-on experience with containerization and orchestration technologies including Docker and Kubernetes.
  • Strong knowledge of MLOps tools such as MLflow, Kubeflow, Airflow, SageMaker, Azure ML, or Vertex AI.

Nice to have

  • Preferred Skills Experience with multi-agent AI systems and autonomous AI workflows.

Benefits

  • Lead end-to-end machine learning lifecycle activities including data preparation, feature engineering, model development, evaluation, deployment, monitoring, and optimization.
  • Architect and implement advanced machine learning, deep learning, NLP, computer vision, recommendation systems, and predictive analytics solutions.
  • Define standards and best practices for machine learning engineering, experimentation, and model governance.
  • Required Qualifications Bachelor''s or Master''s degree in Computer Science, Artificial Intelligence, Machine Learning, Data Science, Mathematics, Statistics, or a related field.
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