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Machine Learning Engineer

unlimited holidays - extra holidays - extra parental leave - long remote period allowed

Remote:

Full Remote

Contract:

Full time

Experience:

Mid-level (2-5 years)

Work from:

Argentina

Offer summary

Qualifications:

Minimum 3 years of AI/ML experience, Expertise in large language models and APIs, Experience with vector databases like Pinecone, Proficient in Python, FastAPI, and Pydantic, Familiarity with Azure cloud services is a plus.

Key responsabilities:

Utilize LLMs for AI/ML solutions development
Build Python microservices for conversational AI
Develop and maintain APIs using FastAPI
Create semantic search applications using scoring techniques
Leverage various AI/ML tools and frameworks

NorthStar Logix Inc Startup http://northstarlogix.com

11 - 50 Employees

See more NorthStar Logix Inc offers

Job description

We are seeking a talented and experienced Python AI/ML Engineer with at least 3 years of experience. The ideal candidate will have a strong understanding and hands-on experience with large language models (LLMs) and a variety of AI/ML tools and frameworks. This role requires expertise in building and deploying machine learning solutions, particularly in the context of conversational AI and semantic search applications.

Key Responsibilities

Utilize LLMs such as Llama, Mistral, and OpenAI APIs to develop and deploy AI/ML solutions.
Work with tools and frameworks including LangChain, Haystack, and LlamaIndex.
Leverage vector databases like Pinecone (preferred), Milvus, and PGVector to enhance AI/ML applications.
Build Python microservices that invoke OpenAI APIs/LLMs to facilitate end-to-end conversational AI solutions.
Develop and maintain APIs using Python, FastAPI, and Pydantic.
Apply transformer models (e.g., GPT) and fine-tune them for specific use cases.
Perform complex, large-scale vector embeddings using OpenAI technologies.
Create semantic search applications utilizing likeness scoring and nearest neighbor scoring techniques.
Work with Azure cloud services (experience with Azure is a plus).

Qualifications

Minimum of 3 years of experience in AI/ML engineering roles.
Proven expertise with large language models and associated APIs (Llama, Mistral, OpenAI).
Strong experience with vector databases (Pinecone preferred, Milvus, PGVector).
Proficient in building Python microservices and integrating AI/ML solutions.
Hands-on experience with Python, FastAPI, and Pydantic.
Experience with transformer models and fine-tuning techniques.
Demonstrated ability to build semantic search applications with complex vector embeddings.
Familiarity with Azure cloud services is advantageous.

Preferred Skills

Strong problem-solving and analytical skills.
Excellent communication and teamwork abilities.
Ability to work in a fast-paced and dynamic environment.
Continuous learner with a passion for staying updated on the latest advancements in AI/ML technologies.