

TalentOla
AI/ML Lead
⭐ - Featured Role | Apply direct with Data Freelance Hub
This role is for an AI/ML Lead with a contract length of "X months" and a pay rate of "$X/hour." Key skills include proficiency in Python, R, or Java, experience with LLMs, and knowledge of MLOps practices. Cloud platform experience is required.
🌎 - Country
United States
💱 - Currency
$ USD
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💰 - Day rate
Unknown
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🗓️ - Date
June 4, 2026
🕒 - Duration
Unknown
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🏝️ - Location
Unknown
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📄 - Contract
Unknown
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🔒 - Security
Unknown
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📍 - Location detailed
Dallas, TX
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🧠 - Skills detailed
#ML (Machine Learning) #GCP (Google Cloud Platform) #Python #NLP (Natural Language Processing) #AWS (Amazon Web Services) #AI (Artificial Intelligence) #Monitoring #Docker #Model Deployment #R #BERT #AWS SageMaker #Java #PyTorch #Langchain #Deep Learning #Cloud #SageMaker #TensorFlow #Deployment #Scala
Role description
We are seeking a highly skilled Software Development Engineer (AI/ML) 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 Java
• .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 practices using tools like LangChain, LlamaIndex, and Ragas for model deployment and monitoring
• .Build applications leveraging Natural Language Processing (NLP) and Computer Vision
• .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 in AI/ML development and implementatio
• n.Proficiency in Python, R, or Jav
• a.Expertise in deep learning frameworks: TensorFlow, PyTorch, or Kera
• s.Experience with LLMs and prebuilt model customization (GPT, BERT, DALL-E
• ).Knowledge of MLOps practices and tool
• s.Experience with cloud platforms: AWS, GCP, or Azur
• e.Hands-on experience with Docker and Kubernete
• s.Familiarity with cloud AI services such as Amazon Bedrock, AWS SageMaker, Google Vertex A
• I.Strong problem-solving and analytical skill
s.
We are seeking a highly skilled Software Development Engineer (AI/ML) 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 Java
• .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 practices using tools like LangChain, LlamaIndex, and Ragas for model deployment and monitoring
• .Build applications leveraging Natural Language Processing (NLP) and Computer Vision
• .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 in AI/ML development and implementatio
• n.Proficiency in Python, R, or Jav
• a.Expertise in deep learning frameworks: TensorFlow, PyTorch, or Kera
• s.Experience with LLMs and prebuilt model customization (GPT, BERT, DALL-E
• ).Knowledge of MLOps practices and tool
• s.Experience with cloud platforms: AWS, GCP, or Azur
• e.Hands-on experience with Docker and Kubernete
• s.Familiarity with cloud AI services such as Amazon Bedrock, AWS SageMaker, Google Vertex A
• I.Strong problem-solving and analytical skill
s.






