Responsibilities:
Assist in the development and implementation of machine learning models and algorithms.
Support the data preparation and cleaning process for training and validation of models.
Work with senior AI/ML engineers to optimize and fine-tune models for better accuracy and performance.
Contribute to the development of data pipelines and infrastructure to support model deployment.
Collaborate with cross-functional teams to integrate AI/ML solutions into products or services.
Conduct research and literature reviews to stay up to date with the latest trends and advancements in AI/ML.
Assist in the documentation of code, models, and processes for transparency and reproducibility.
Participate in brainstorming sessions and provide input on technical problem-solving.
Qualifications:
Currently pursuing or recently completed a degree in Computer Science, Data Science, Engineering, or a related field.
Basic knowledge of machine learning algorithms (supervised, unsupervised learning, deep learning, etc.).
Familiarity with programming languages such as Python, R, or Java.
Experience with machine learning libraries (e.g., TensorFlow, PyTorch, Scikit-learn, etc.) is a plus.
Strong understanding of statistics, data analysis, and data visualization.
Familiarity with data preprocessing techniques and handling large datasets.
Ability to work well in a collaborative team environment and communicate effectively.
Strong problem-solving skills, attention to detail, and eagerness to learn.
Preferred Skills :
Experience with cloud platforms such as AWS, Google Cloud, or Azure.
Knowledge of SQL and database management.
Familiarity with version control systems (e.g., Git).
Experience in natural language processing (NLP) or computer vision is a bonus.
To Apply: Email Resume to a2goyal@digitalplussolutions.com
