Systems Management Group, Inc

Systems Management Group, Inc

AI/ML Engineer (LLM, GenAI, RAG) - Onsite in Malvern - 10+ yrs

Malvern, Pennsylvania, USA · third party, contract

Sponsorship not specifiedDetected 49 days ago
PythonCode ReviewAWSGCPAzureCloud PlatformsDockerKubernetesMachine LearningDeep LearningTensorFlowPyTorchscikit-learnNLPLLMsRAGMLOpsStatisticsA/B TestingResearchLeadershipCollaborationMentoring

About the role

  • Communicate AI/ML/LLM/GenAI capabilities and results to both technical and non-technical audiences.
  • Solid understanding of fundamentals of statistics, machine learning (e.g., classification, regression, time series, deep learning, reinforcement learning), and generative model architectures, particularly GANs, VAEs.
  • Strong collaboration skills to work effectively with cross-functional teams, communicate complex concepts, and contribute to interdisciplinary projects.

Responsibilities

  • Provide hands-on technical leadership by designing, developing, and deploying ML/LLM/GenAI solutions from concept through production, maintaining ownership for reliability and operability once deployed Work closely with product managers, data scientists, ML engineers, and other stakeholders to understand requirements and prioritize use cases.
  • Mentor and uplift junior engineers through design reviews, code reviews, pairing, and coaching, raising engineering quality and delivery discipline across the team.
  • You will build and institutionalize MLOps capabilities, including automated pipelines for deployment, monitoring, and model lifecycle management, with emphasis on scalability and reliability Implement optimization strategies to fine-tune generative models for specific NLP use cases, ensuring high-quality outputs in summarization and text generation.
  • Conduct thorough evaluations of generative models (e.g., GPT-4.1), iterate on model architectures, and implement improvements to enhance overall performance in NLP applications.
  • Implement monitoring mechanisms to track model performance in real-time and ensure model reliability.
  • Stay informed about the latest trends and advancements in the latest AI/ML/LLM/GenAI research, implement cutting-edge techniques, and leverage external APIs for enhanced functionality.

Requirements

  • Experience with cloud computing platforms (e.g., AWS, Azure, or Google Cloud Platform), containerization technologies (e.g., Docker and Kubernetes), and microservices design, implementation, and performance optimization.

Skills

  • Experience with machine learning frameworks, libraries, and APIs, such as TensorFlow, PyTorch, Scikit-learn, and OpenAI API.
  • Regards, Prakash 732-9 3 4-4169 prakash.v(@)smg(-)llc(.)us
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