AI/ML Engineer
- Source: Indeed
- Muskin Career Solutions
- $65,000 to $70,000 /yr
- Remote
- United States
- Full-Time
- Mid level
Job Description
Job summary:
We are seeking a motivated and curious AI/ML Engineer to join our team and contribute to the development of AI-powered applications and machine learning solutions.
The ideal candidate will have 1–3 years of experience in AI/ML, strong Python skills, and an interest in working with modern technologies such as Generative AI, LLMs, RAG, and AI agents.
This is a great opportunity for an engineer who enjoys learning new technologies, building practical AI solutions, and working with a collaborative team.
location: USA
job type: W2 and Contract
education: Bachelor’s Degree required
work arrangement: Remote — United States Only
Important: This position is open only to candidates who are currently located in the United States. Candidates residing outside the United States will not be considered.
Responsibilities
- AI/ML Development: Develop and improve machine learning and AI-based applications using Python.
- Generative AI: Work with LLMs and Generative AI technologies to build useful business applications.
- RAG Applications: Assist in developing Retrieval-Augmented Generation (RAG) solutions using documents, embeddings, and vector databases.
- Model Development: Train, test, evaluate, and improve machine learning models.
- AI Prototyping: Build prototypes and proof-of-concept AI solutions for new business requirements.
- Data Processing: Work with structured and unstructured data to prepare datasets for AI/ML applications.
- Collaboration: Work with software engineers, data professionals, and business teams to understand requirements and deliver solutions.
- Testing & Optimization: Test AI/ML solutions and help improve their accuracy, reliability, and performance.
- Continuous Learning: Stay updated with new AI/ML tools, frameworks, models, and industry practices.
Qualifications
- 1–3 years of professional experience in Artificial Intelligence, Machine Learning, Data Science, Software Engineering, or a related field.
- Bachelor’s degree in Computer Science, Engineering, Data Science, Mathematics, or a related field.
- Strong programming skills in Python.
- Basic to intermediate understanding of machine learning concepts and algorithms.
- Experience with Scikit-learn, TensorFlow, PyTorch, or similar ML frameworks.
- Familiarity with Generative AI and LLMs.
- Understanding of RAG, embeddings, vector databases, or prompt engineering is a plus.
- Basic experience with SQL and data processing.
- Familiarity with cloud platforms such as AWS, Azure, or GCP is preferred.
- Strong analytical and problem-solving skills.
- Good communication and teamwork abilities.
- Willingness to learn and work with emerging AI technologies.
Preferred Qualifications
- Experience with OpenAI APIs, Hugging Face, LangChain, or similar AI tools.
- Exposure to AI agents or agentic workflows.
- Experience with Git and standard software development practices.
- Internship, academic, or personal AI/ML projects are a plus.
- Experience building or deploying AI/ML applications is preferred.
Skills
AI, Artificial Intelligence, Machine Learning, Python, Generative AI, LLM, Large Language Models, RAG, Retrieval-Augmented Generation, Prompt Engineering, AI Agents, Vector Databases, Embeddings, Scikit-learn, TensorFlow, PyTorch, SQL, Data Processing, AWS, Azure, GCP, Git, Software Engineering, Data Science, Problem Solving, Communication, Collaboration.
Work Authorization & Location
This position is open to candidates currently located in the United States only.
- Candidates must currently reside in the United States.
- This is a remote position within the United States.
- Worldwide/international applicants will not be considered.
- Candidates must be legally authorized to work in the United States.
Pay: $65,000.00 - $70,000.00 per year
Work Location: Remote
Skills
- Python
- processing-js
- Scikit-learn
- Tensorflow
- PyTorch
- amazon-web-services
- microsoft-azure
- google-cloud-platform
- openai
- hugging-face
- LangChain
