Raas Infotek LLC

Raas Infotek LLC

AI/ML Engineer

Plano, Texas, USA · Contract

Sponsorship not specifiedDetected 49 days ago
PythonJavaAlgorithmsSQLNoSQLAWSGCPAzureCloud PlatformsDockerKubernetesCI/CDDevOpsRESTMachine LearningDeep LearningTensorFlowPyTorchscikit-learnSparkAirflowData EngineeringData ScienceNLP

About the role

  • The ideal candidate will have strong expertise in machine learning algorithms, deep learning frameworks, data engineering, MLOps, cloud platforms, and production-grade AI systems.
  • Conduct experimentation, model tuning, A/B testing, and performance evaluation.

Responsibilities

  • Develop end-to-end ML pipelines including data ingestion, preprocessing, feature engineering, model training, evaluation, deployment, and monitoring.
  • Implement MLOps practices for CI/CD, model versioning, monitoring, retraining, and governance.
  • Collaborate with data engineers, software developers, product managers, and business stakeholders to define AI/ML solutions.
  • Optimize model performance, scalability, reliability, and latency in production environments.
  • Develop APIs and microservices for ML model integration into enterprise systems.
  • This role requires collaboration with cross-functional teams to deliver innovative AI-driven solutions that support business objectives.

Requirements

  • Required Skills & Qualifications 10+ years of experience in Software Engineering, Data Science, AI/ML Engineering, or related fields.
  • Proficiency in Python, Java, or Scala.
  • Hands-on experience with ML frameworks such as TensorFlow, PyTorch, Scikit-learn, Keras, or XGBoost.
  • Experience with Generative AI, LLMs, Prompt Engineering, RAG architectures, LangChain, or vector databases.
  • Experience with cloud platforms: AWS, Microsoft Azure, or Google Cloud Platform.

Nice to have

  • Experience with Generative AI platforms and LLM integration.
  • Knowledge of AI ethics, governance, and responsible AI practices.
  • Experience in enterprise-scale AI implementations.
  • Exposure to DevOps and CI/CD automation processes.
  • Relevant certifications in AI/ML or Cloud technologies are a plus.
  • AWS, Microsoft Azure, or Google Cloud Platform.
  • Strong SQL and NoSQL database experience.
  • Experience with big data technologies such as Spark, Hadoop, or Kafka.

Skills

  • Work with large-scale structured and unstructured datasets using distributed computing technologies.

Benefits

  • 10+ Years Position Overview We are seeking an experienced AI/ML Engineer with 10+ years of industry experience in designing, developing, and deploying scalable Artificial Intelligence and Machine Learning solutions.
  • Design, develop, and deploy scalable Machine Learning and AI models for enterprise applications.
  • Build and optimize predictive models, recommendation systems, NLP solutions, and deep learning architectures.
  • Strong expertise in Machine Learning, Deep Learning, NLP, Computer Vision, or Generative AI technologies.
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