Job Specifications
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.
2. 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
3. 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
4. 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
5. Required Education
Bachelor's degree in Computer Science, Data Science, or a related field, or equivalent practical experience.
6. 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
About the Company
Established in 1999, New York Technology Partners is a global IT and Engineering consulting services company with 250+ employees on staff in the US and over $30 million in revenues. We provide the highest quality of integrated full-lifecycle IT & Engineering services and business solutions. NYTP has grown to become a leader in consulting services in multiple areas including IT, Engineering, Manufacturing, Construction, etc. NYTP has been recognized by the Inc. 5000 and Rochester Top 100 as an honoree for multiple consecutive...
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