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AI/ML Engineer
Harri - Palestine
AI/ML Engineer
Harri - Palestine
Full Time
Hybrid remote
3
Years
Experience
To be discussed
AI/ML Engineer
Harri - Palestine
Full Time
Hybrid remote
3
Years
Experience
To be discussed
Skills
Fluent in English
Description
harri is the frontline employee experience platform built for companies who have service at the heart of their business. The solution is built on the notion that the customer experience will never exceed the employee experience. The Harri suite of talent attraction, workforce management and employee engagement technologies enable organizations to attract, manage, engage and retain the best talent for their business.
Hospitality is in our DNA, with most of our global team having front line and restaurant management experience - we are changing the landscape of our industry and frontline workers technology. We need the very best and brightest to join us on this mission to disrupt the market as it stands today.
Based in NYC, Harri has global offices in the UK, Palestine and India and has been awarded: Top 50 Startup by LinkedIn, Best Enterprise Solution for HR/Workforce by HR Tech Awards & NYC Best Tech Startup for the Tech in Motion Events Timmy Awards.
About the Role
We’re seeking a Mid-Level AI/ML Engineer, who will be responsible for the full lifecycle of both classical machine learning models and generative AI systems. This is a balanced role where they will build robust data and model pipelines for traditional ML projects while also contributing to the development, fine-tuning, and deployment of our in-house Large Language Model (LLM). Their work will be critical in driving both conventional data-driven insights and innovative Gen-AI features for our product.
Role and Responsibilities
Typical duties and responsibilities for this position include, but are not limited to:
Design and build end-to-end machine learning pipelines, from data ingestion and feature engineering to model training, evaluation, and deployment.
Support the fine-tuning, deployment, and integration of Machine/Deep Learning models including large language models (LLMs) and other generative models (e.g., GPT, Mistral).
Collaborate with data scientists to prepare and analyze data, and to build scalable data pipelines for both training and inference.
Develop and maintain Retrieval-Augmented Generation (RAG) pipelines using embeddings and vector databases.
Monitor the performance and health of deployed ML models, ensuring their accuracy and reliability in a production environment.
Contribute prompt engineering, schema design, and function calling to guide LLM behavior in production workflows.
Work with GenAI development frameworks to orchestrate and serve GenAI-powered features, workflows, and agents.
Implement backend APIs and services powered by both classical ML and LLMs.
Stay up to date with the latest advancements in both classical and generative AI techniques.
Participate in code reviews, design discussions, and technical planning within an agile team environment.
Assist in evaluating and mitigating bias, hallucination, and other risks in both types of AI systems.
Knowledge sharing and culture building as we work in a team structure, it is essential to have the spirit of sharing the knowledge.
Keep aligned with HARRI’s team(s) coding and design standards.
Ability to communicate and work well with others.
Ability to deliver on time while keeping a high quality of work.
To quickly become an expert in our tech stack, specifically the systems relating to your role. Requesting training when required.
Check in with your line manager and update on your progress.
To live and breathe the Harri Company values.
Qualifications
Bachelor's degree in Computer Science, Artificial Intelligence, Machine Learning, or a related field (or equivalent hands-on experience).
3+ years of experience in applied machine learning or software development.
Proven experience in the full machine learning lifecycle, including model training, validation, and deployment.
Hands-on experience with LLM APIs, embeddings, and vector databases.
Proficiency in Python and familiarity with core libraries like pandas and NumPy.
Experience with ML frameworks such as scikit-learn and deep learning frameworks like PyTorch or TensorFlow.
Familiarity with GenAI frameworks such as LangChain, LangGraph, or LiteLLM.
Comfortable working with Git, APIs, and cloud platforms (AWS, GCP, etc.).
Experience building and maintaining production APIs and services.
Strong analytical and problem-solving abilities.
Excellent communication and collaboration skills across technical and non-technical teams.
Excellent verbal and written English communication skills.
High attention to detail, curiosity, and willingness to experiment and learn.
Plus Points:
Experience with A/B testing or other model validation techniques.
Contributions to open-source AI projects.
Experience building agentic workflows or multi-step LLM tools.
Familiarity with MLOps principles and tools for monitoring and serving models.
harri is the frontline employee experience platform built for companies who have service at the heart of their business. The solution is built on the notion that the customer experience will never exceed the employee experience. The Harri suite of talent attraction, workforce management and employee engagement technologies enable organizations to attract, manage, engage and retain the best talent for their business.
Hospitality is in our DNA, with most of our global team having front line and restaurant management experience - we are changing the landscape of our industry and frontline workers technology. We need the very best and brightest to join us on this mission to disrupt the market as it stands today.
Based in NYC, Harri has global offices in the UK, Palestine and India and has been awarded: Top 50 Startup by LinkedIn, Best Enterprise Solution for HR/Workforce by HR Tech Awards & NYC Best Tech Startup for the Tech in Motion Events Timmy Awards.
About the Role
We’re seeking a Mid-Level AI/ML Engineer, who will be responsible for the full lifecycle of both classical machine learning models and generative AI systems. This is a balanced role where they will build robust data and model pipelines for traditional ML projects while also contributing to the development, fine-tuning, and deployment of our in-house Large Language Model (LLM). Their work will be critical in driving both conventional data-driven insights and innovative Gen-AI features for our product.
Role and Responsibilities
Typical duties and responsibilities for this position include, but are not limited to:
Design and build end-to-end machine learning pipelines, from data ingestion and feature engineering to model training, evaluation, and deployment.
Support the fine-tuning, deployment, and integration of Machine/Deep Learning models including large language models (LLMs) and other generative models (e.g., GPT, Mistral).
Collaborate with data scientists to prepare and analyze data, and to build scalable data pipelines for both training and inference.
Develop and maintain Retrieval-Augmented Generation (RAG) pipelines using embeddings and vector databases.
Monitor the performance and health of deployed ML models, ensuring their accuracy and reliability in a production environment.
Contribute prompt engineering, schema design, and function calling to guide LLM behavior in production workflows.
Work with GenAI development frameworks to orchestrate and serve GenAI-powered features, workflows, and agents.
Implement backend APIs and services powered by both classical ML and LLMs.
Stay up to date with the latest advancements in both classical and generative AI techniques.
Participate in code reviews, design discussions, and technical planning within an agile team environment.
Assist in evaluating and mitigating bias, hallucination, and other risks in both types of AI systems.
Knowledge sharing and culture building as we work in a team structure, it is essential to have the spirit of sharing the knowledge.
Keep aligned with HARRI’s team(s) coding and design standards.
Ability to communicate and work well with others.
Ability to deliver on time while keeping a high quality of work.
To quickly become an expert in our tech stack, specifically the systems relating to your role. Requesting training when required.
Check in with your line manager and update on your progress.
To live and breathe the Harri Company values.
Qualifications
Bachelor's degree in Computer Science, Artificial Intelligence, Machine Learning, or a related field (or equivalent hands-on experience).
3+ years of experience in applied machine learning or software development.
Proven experience in the full machine learning lifecycle, including model training, validation, and deployment.
Hands-on experience with LLM APIs, embeddings, and vector databases.
Proficiency in Python and familiarity with core libraries like pandas and NumPy.
Experience with ML frameworks such as scikit-learn and deep learning frameworks like PyTorch or TensorFlow.
Familiarity with GenAI frameworks such as LangChain, LangGraph, or LiteLLM.
Comfortable working with Git, APIs, and cloud platforms (AWS, GCP, etc.).
Experience building and maintaining production APIs and services.
Strong analytical and problem-solving abilities.
Excellent communication and collaboration skills across technical and non-technical teams.
Excellent verbal and written English communication skills.
High attention to detail, curiosity, and willingness to experiment and learn.
Plus Points:
Experience with A/B testing or other model validation techniques.
Contributions to open-source AI projects.
Experience building agentic workflows or multi-step LLM tools.
Familiarity with MLOps principles and tools for monitoring and serving models.
AI/ML Engineer
Full Time
Hybrid remote
3
Years
Experience
To be discussed
Skills
Fluent in English
Sateh Marhaba, Al-bireh