Job Description:
We are seeking a motivated and detail-oriented Junior AI/ML Engineer with foundational experience in Machine Learning, Data Science, or AI model development. The ideal candidate will support senior engineers in building, testing, and optimizing AI/ML models, performing data preprocessing, and contributing to AI-driven solutions. This is an excellent opportunity for individuals at the beginning of their AI/ML career who are eager to learn, grow, and contribute to real-world projects.
Location: Open to Relocation across the United States
Responsibilities:
Assist in developing and testing machine learning models using Python and ML frameworks.
Clean, preprocess, and analyze structured and unstructured datasets.
Support in building predictive models and evaluating model performance.
Collaborate with senior engineers and data scientists on AI initiatives.
Help automate processes, run experiments, and prepare technical documentation.
Work with cloud platforms and version control tools under guidance.
Required Skills:
Basic knowledge of Python, NumPy, Pandas, Scikit-learn, or similar ML libraries.
Strong understanding of machine learning concepts and data structures.
Familiarity with Jupyter notebooks, Git/GitHub, and basic cloud tools (AWS/GCP/Azure).
Good analytical thinking and problem-solving skills.
Strong willingness to learn and adapt in a fast-paced environment.
Qualifications:
Bachelor’s degree in Computer Science, Data Science, AI/ML, Engineering, or related field.
Bootcamp or internship experience in AI/ML is a plus.
Notes (Very Important):
We are specifically looking for candidates with 6 months to 1 year of experience (including internships or projects).
Freshers and entry-level candidates are highly encouraged to apply.
Only U.S. Citizens are eligible for this role.
Candidate must be comfortable working on W2 employment.
Candidate must be open and willing to relocate anywhere in the United States if selected for the position.
Hudson Manpower Inc. specializes in recruitment and project staffing for the Oil, Gas, Petrochemical, Power Plant, and Construction industries, supplying quality manpower to reduce training costs and bridge the gap between employers and employees.
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