

New York Technology Partners
Machine Learning / Prompt Engineer (Ollama, Langchain, Hugging Face and Tensor Flow) (Only W2 or Selfcorp)
⭐ - Featured Role | Apply direct with Data Freelance Hub
This role is for a Machine Learning / Prompt Engineer with 3+ years of experience in LLMs and generative AI, proficient in Python and ML libraries like Ollama, Langchain, and TensorFlow. Contract length is unspecified; remote work is available.
🌎 - Country
United States
💱 - Currency
$ USD
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💰 - Day rate
Unknown
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🗓️ - Date
December 11, 2025
🕒 - Duration
Unknown
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🏝️ - Location
Remote
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📄 - Contract
W2 Contractor
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🔒 - Security
Unknown
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📍 - Location detailed
United States
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🧠 - Skills detailed
#Hugging Face #Programming #Reinforcement Learning #Data Science #AI (Artificial Intelligence) #Python #Monitoring #Datasets #Libraries #A/B Testing #Documentation #Computer Science #ML (Machine Learning) #Classification #PyTorch #Pandas #Langchain #TensorFlow #Deployment
Role description
Job Title: Machine Learning / Prompt Engineer (Ollama, Langchain, hugging face and tensor flow) (Only W2 or Selfcorp)
Location: Remote
Position Type: Contract
Must Have: Ollama, Langchain, Hugging face, Tensor Flow)
Job Description:
We are looking for a Machine Learning and Prompt Engineering Specialist who will lead the design, training, and optimization of AI models and their interactions. This hybrid role is crucial for shaping the cognitive capabilities of our systems, ensuring they communicate effectively and efficiently. The successful candidate will work closely with cross-functional teams to integrate AI solutions into our products.
1. Required Skills and Experience
• 3+ years working with LLMs and generative AI
• Advanced proficiency in Python and ML capabilities (e.g. Ollama, HuggingFace, LangChain) & libraries (e.g. TensorFlow, PyTorch, pandas, ffmpeg, scikit-learn)- Strong grasp of supervised, unsupervised, and reinforcement learning
• Experience with model training, fine-tuning, LoRA, evaluation, and optimization
• Deep understanding of LLM behavior, hyperparameters, tokenization, and context windows
• Experience crafting effective prompts for tasks like role-playing, summarization, classification, reasoning, and creative generation
• Strong communication, documentation, & mentoring skills
1. Desired Skills and Experience
• Familiarity with OpenAI, Anthropic, or Cohere APIs
• Understanding of data preprocessing and feature engineering
• Expertise in crafting prompts for various tasks (e.g., summarization, classification)
• Knowledge of prompt tuning and retrieval-augmented generation (RAG)
• Experience with A/B testing and user feedback integration
1. Preferred Qualifications
• Strong communication and collaboration skills
• Ability to work with diverse teams, including executives and engineering
• Experience in ethical AI considerations and bias mitigation
1. Required Education
Bachelor's degree in Computer Science, Data Science, or a related field, or equivalent practical experience.
1. Skills Glossary
Machine Learning (ML): A subset of artificial intelligence that enables systems to learn from data patterns and improve their performance on tasks without being explicitly programmed.
Python: A high-level programming language widely used in data science and ML for its simplicity and rich ecosystem of libraries.
Large Language Models (LLMs): Advanced AI systems designed to process and generate text in a human-like manner, based on massive datasets and complex algorithms.
MLOps: The practice of integrating machine learning system development and operations to streamline deployment, monitoring, and governance.
Prompt Engineering: The art of crafting and refining prompts to enhance the response quality of AI models, optimizing for specific tasks and use cases.
If you believe you are qualified for this position and are currently in the job market or interested in making a change, please email me the resume along with contact details at roshni@nytpcorp.com
Job Title: Machine Learning / Prompt Engineer (Ollama, Langchain, hugging face and tensor flow) (Only W2 or Selfcorp)
Location: Remote
Position Type: Contract
Must Have: Ollama, Langchain, Hugging face, Tensor Flow)
Job Description:
We are looking for a Machine Learning and Prompt Engineering Specialist who will lead the design, training, and optimization of AI models and their interactions. This hybrid role is crucial for shaping the cognitive capabilities of our systems, ensuring they communicate effectively and efficiently. The successful candidate will work closely with cross-functional teams to integrate AI solutions into our products.
1. Required Skills and Experience
• 3+ years working with LLMs and generative AI
• Advanced proficiency in Python and ML capabilities (e.g. Ollama, HuggingFace, LangChain) & libraries (e.g. TensorFlow, PyTorch, pandas, ffmpeg, scikit-learn)- Strong grasp of supervised, unsupervised, and reinforcement learning
• Experience with model training, fine-tuning, LoRA, evaluation, and optimization
• Deep understanding of LLM behavior, hyperparameters, tokenization, and context windows
• Experience crafting effective prompts for tasks like role-playing, summarization, classification, reasoning, and creative generation
• Strong communication, documentation, & mentoring skills
1. Desired Skills and Experience
• Familiarity with OpenAI, Anthropic, or Cohere APIs
• Understanding of data preprocessing and feature engineering
• Expertise in crafting prompts for various tasks (e.g., summarization, classification)
• Knowledge of prompt tuning and retrieval-augmented generation (RAG)
• Experience with A/B testing and user feedback integration
1. Preferred Qualifications
• Strong communication and collaboration skills
• Ability to work with diverse teams, including executives and engineering
• Experience in ethical AI considerations and bias mitigation
1. Required Education
Bachelor's degree in Computer Science, Data Science, or a related field, or equivalent practical experience.
1. Skills Glossary
Machine Learning (ML): A subset of artificial intelligence that enables systems to learn from data patterns and improve their performance on tasks without being explicitly programmed.
Python: A high-level programming language widely used in data science and ML for its simplicity and rich ecosystem of libraries.
Large Language Models (LLMs): Advanced AI systems designed to process and generate text in a human-like manner, based on massive datasets and complex algorithms.
MLOps: The practice of integrating machine learning system development and operations to streamline deployment, monitoring, and governance.
Prompt Engineering: The art of crafting and refining prompts to enhance the response quality of AI models, optimizing for specific tasks and use cases.
If you believe you are qualified for this position and are currently in the job market or interested in making a change, please email me the resume along with contact details at roshni@nytpcorp.com






