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Artificial Intelligence Engineer
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TalentOla
Dallas, TX (In Person)
Full-Time
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Job Description
Artificial Intelligence Engineer at TalentOla Artificial Intelligence Engineer at TalentOla in Dallas, Texas Posted in about 20 hours ago.
Proficiency i n Python, R, or Ja v a.
Expertise in deep learning frameworks : TensorFlow, PyTorch, or Ker a s.
Experience wit h LLMs and prebuilt model customization (GPT, BERT, DALL- E ).Knowledge o f MLOps practices and too l s.
Experience wit h cloud platfor ms: AWS, GCP, or Azur e.
Hands-on experience wit h Docker and Kubernet e s.
Familiarity with cloud AI services such a s Amazon Bedrock, AWS SageMaker, Google Vertex A I.Strong problem-solving and analytical skill s.
Excellent communication and collaboration abilitie s. Preferred Ski llsExperience wi th AI/ML APIs and cloud AI servi ces (Google AI, Azure AI, AWS SageMake r).Knowledge of Agile methodolog ies and modern software development practic es.
Contributions to AI/ML research (publications, conference presentation s). Qualificat ionsBachelor's or master's deg ree Computer Science, Engineering, or related f i eld.
Proven ability to lead AI/ML projects f rom design to deploy m ent.
Strong passion for innovation and emerging technolo gies
Type:
full-timeJob Description:
Job Title:
AI/ML Lead Location:
Dallas, TX, USA Job Summary We are seeking a highly skilled Software Development Engineer (AI/ML Lead) with strong expertise in Artificial Intelligence and Machine Learning. The ideal candidate will have proven experience in building, implementing, and customizing advanced AI/ML models, along with strong software engineering fundamentals. This role requires collaboration in a fast-paced, innovative environment. Key Responsibilitie sDesign, develop, and implement AI/ML applications, with a focus on Large Language Models (LLMs ) and their integration into enterprise systems .Develop scalable solutions using Python, R, or Jav a .Customize and optimize prebuilt models such as GPT, BERT, and DALL- E for business use cases .Architect and deploy high-performance LLM-based applications .Implement MLOps practice s using tools like LangChain, LlamaIndex, and Raga s for model deployment and monitoring .Build applications leveraging Natural Language Processing (NLP ) and Computer Visio n .Collaborate with cross-functional teams to gather requirements and deliver solutions .Contribute to AI/ML research initiatives (papers, conferences, innovation programs) .Stay up to date with the latest advancements in AI/ML technologies . Mandatory Skil lsStrong hands-on experience i n AI/ML development and implementati o n.Proficiency i n Python, R, or Ja v a.
Expertise in deep learning frameworks : TensorFlow, PyTorch, or Ker a s.
Experience wit h LLMs and prebuilt model customization (GPT, BERT, DALL- E ).Knowledge o f MLOps practices and too l s.
Experience wit h cloud platfor ms: AWS, GCP, or Azur e.
Hands-on experience wit h Docker and Kubernet e s.
Familiarity with cloud AI services such a s Amazon Bedrock, AWS SageMaker, Google Vertex A I.Strong problem-solving and analytical skill s.
Excellent communication and collaboration abilitie s. Preferred Ski llsExperience wi th AI/ML APIs and cloud AI servi ces (Google AI, Azure AI, AWS SageMake r).Knowledge of Agile methodolog ies and modern software development practic es.
Contributions to AI/ML research (publications, conference presentation s). Qualificat ionsBachelor's or master's deg ree Computer Science, Engineering, or related f i eld.
Proven ability to lead AI/ML projects f rom design to deploy m ent.
Strong passion for innovation and emerging technolo gies