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I’m helping bEdge Tech Services find a top candidate to join their team full-time for the role of AI/ML Engineer – Entry Level / Graduate (Dec 2025 – Jan 2026).
You'll build, deploy, and optimize AI/ML solutions, shaping the future with real-world impact.
Compensation:
USD 35 - 110/hour
Location:
Remote: United States
Mission of bEdge Tech Services:
"To empower global businesses with exceptional talent and innovative technology solutions while creating meaningful opportunities for professionals. We are committed to delivering value, driving growth, and building lasting connections that fuel success."
What makes you a strong candidate:
- You are proficient in Software development, SQL, Python, Machine learning, Jupyter Notebook.
- You have the potential to develop in Natural language processing (NLP), Microsoft Azure, MLOps, Good clinical practice (GCP), Git, Generative artificial intelligence (Generative AI).
- English - Conversational
Responsibilities and more:
We are seeking passionate and curious AI/ML Graduate Engineers (Dec 2025 / Jan 2026 pass-outs) to join our data and engineering teams. The role involves building, training, and deploying machine learning models, working with real-world datasets, and contributing to AI-driven products and solutions.
Key Responsibilities:
* Develop, train, and evaluate machine learning models (supervised and unsupervised).
* Work with structured and unstructured datasets for analysis and modeling.
* Perform data preprocessing, feature engineering, and model optimization.
* Implement ML algorithms using Python and relevant libraries.
* Assist in deploying models into production environments.
* Collaborate with data engineers, software developers, and product teams.
* Document model logic, experiments, and results.
* Stay updated with advancements in AI, ML, and Generative AI.
Required Qualifications:
* Bachelor’s or Master’s degree in Computer Science, AI/ML, Data Science, Engineering, or related field (Graduation: Dec 2025 / Jan 2026).
* Strong foundation in Python programming.
* Understanding of machine learning algorithms and concepts.
* Knowledge of statistics, probability, and linear algebra.
* Familiarity with data handling using Pandas and NumPy.
Required Technical Skills:
* Python, Jupyter Notebook.
* ML Libraries: Scikit-learn, TensorFlow, or PyTorch.
* Data processing: Pandas, NumPy.
* Data visualization: Matplotlib, Seaborn.
* Basic SQL for data querying.
Preferred / Good-to-Have Skills:
* Exposure to Deep Learning, NLP, or Computer Vision.
* Experience with Generative AI / LLMs (prompt engineering, fine-tuning basics).
* Knowledge of cloud platforms (Azure, AWS, GCP).
* Familiarity with MLOps tools (MLflow, Docker, Git, CI/CD basics).
* Internship, academic projects, or Kaggle experience.
Key Skills
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