Verified Job
IT / Software / Data Analyst
Artificial Intelligence / Machine Learning Engineer - Generative AI
IT / Software / Data Analyst
#667730
Remote / WFH
Job Description
As a Senior AI / ML Engineer specializing in Python, NLP, LLM, and Generative AI, you will be tasked with solving complex problems and developing high-impact products in a fast-paced environment. Your key responsibilities will include:
Building and deploying ML / NLP / LLM / Generative-AI models and solutions.
Developing data pipelines, feature engineering workflows, and training / validation processes.
Implementing end-to-end AI product components using Python, FastAPI, Docker, CI / CD, and AWS.
Working with agentic frameworks, vector databases, embeddings, RAG, and hybrid search.
Collaborating with cross-functional teams to translate business requirements into technical solutions.
Ensuring scalability, performance, and quality across the AI / ML lifecycle.
Mentoring junior engineers and supporting technical decision-making.
In order to excel in this role, you should possess the following qualifications:
4-7 years of ML / AI engineering experience with a strong proficiency in Python.
Hands-on experience with NLP, NLU, LLMs, prompt engineering, and Generative AI.
Experience with containerization, CI / CD pipelines, model deployment, and cloud services (AWS preferred).
Understanding of LoRA / PEFT, embeddings, vector databases, RAG pipelines, and multi-agent systems.
Strong communication skills and the ability to thrive in an Agile environment.
Please note: The company details were not provided in the job description. As a Senior AI / ML Engineer specializing in Python, NLP, LLM, and Generative AI, you will be tasked with solving complex problems and developing high-impact products in a fast-paced environment. Your key responsibilities will include:
Building and deploying ML / NLP / LLM / Generative-AI models and solutions.
Developing data pipelines, feature engineering workflows, and training / validation processes.
Implementing end-to-end AI product components using Python, FastAPI, Docker, CI / CD, and AWS.
Working with agentic frameworks, vector databases, embeddings, RAG, and hybrid search.
Collaborating with cross-functional teams to translate business requirements into technical solutions.
Ensuring scalability, performance, and quality across the AI / ML lifecycle.
Mentoring junior engineers and supporting technical decision-making.
In order to excel in this role, you should possess the following qualifications:
4-7 years of ML / AI engineering experience with a strong proficiency in Python.
Hands-on experience with NLP, NLU, LLMs, prompt engineering, and Generative AI.
Experience with containerization, CI / CD pipelines, model deployment, and cloud services (AWS preferred).
Understanding of LoRA / PEFT, embeddings, vector databases, RAG pipelines, and multi-agent systems.
Strong communication skills and the ability to thrive in an Agile environment.
Please note: The company details were not provided in the job description.
Building and deploying ML / NLP / LLM / Generative-AI models and solutions.
Developing data pipelines, feature engineering workflows, and training / validation processes.
Implementing end-to-end AI product components using Python, FastAPI, Docker, CI / CD, and AWS.
Working with agentic frameworks, vector databases, embeddings, RAG, and hybrid search.
Collaborating with cross-functional teams to translate business requirements into technical solutions.
Ensuring scalability, performance, and quality across the AI / ML lifecycle.
Mentoring junior engineers and supporting technical decision-making.
In order to excel in this role, you should possess the following qualifications:
4-7 years of ML / AI engineering experience with a strong proficiency in Python.
Hands-on experience with NLP, NLU, LLMs, prompt engineering, and Generative AI.
Experience with containerization, CI / CD pipelines, model deployment, and cloud services (AWS preferred).
Understanding of LoRA / PEFT, embeddings, vector databases, RAG pipelines, and multi-agent systems.
Strong communication skills and the ability to thrive in an Agile environment.
Please note: The company details were not provided in the job description. As a Senior AI / ML Engineer specializing in Python, NLP, LLM, and Generative AI, you will be tasked with solving complex problems and developing high-impact products in a fast-paced environment. Your key responsibilities will include:
Building and deploying ML / NLP / LLM / Generative-AI models and solutions.
Developing data pipelines, feature engineering workflows, and training / validation processes.
Implementing end-to-end AI product components using Python, FastAPI, Docker, CI / CD, and AWS.
Working with agentic frameworks, vector databases, embeddings, RAG, and hybrid search.
Collaborating with cross-functional teams to translate business requirements into technical solutions.
Ensuring scalability, performance, and quality across the AI / ML lifecycle.
Mentoring junior engineers and supporting technical decision-making.
In order to excel in this role, you should possess the following qualifications:
4-7 years of ML / AI engineering experience with a strong proficiency in Python.
Hands-on experience with NLP, NLU, LLMs, prompt engineering, and Generative AI.
Experience with containerization, CI / CD pipelines, model deployment, and cloud services (AWS preferred).
Understanding of LoRA / PEFT, embeddings, vector databases, RAG pipelines, and multi-agent systems.
Strong communication skills and the ability to thrive in an Agile environment.
Please note: The company details were not provided in the job description.
