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Openspace Services Biggest hiring for AI/ML Developer (Fresher) 0-1 yr exp. This is a great opportunity for freshers and early-career professionals looking to kickstart their journey in a global IT services company. The position is based in India and eligible candidates are encouraged to apply online at the earliest. The detailed eligibility criteria and application process are given below. Also Check course section free
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Job Details :
An AI/ML Developer (Fresher) is an entry-level professional who helps design, build, and deploy intelligent systems using techniques from Artificial Intelligence and Machine Learning. The role involves working with data, developing algorithms, and creating models that enable computers to learn patterns and make predictions or decisions automatically.
Freshers in this role usually work under senior engineers or data scientists to develop AI-based applications such as chatbots, recommendation systems, automation tools, and predictive analytics platforms.
Job Responsibilities
- Assist in the development and deployment of machine learning models and algorithms.
- Work on data preprocessing, feature engineering, and data analysis tasks.
- Learn to design and implement ML models using popular libraries such as TensorFlow, PyTorch, scikit-learn, and Keras.
- Collaborate with senior team members to solve real-world problems with AI/ML techniques.
- Experiment with different AI/ML algorithms to improve model performance and accuracy.
- Develop data pipelines and automate processes to enhance data collection, cleaning, and analysis.
- Assist in the preparation of reports and documentation regarding model performance and insights.
- Participate in research and development of new techniques in machine learning and AI.
- Learn to deploy models and work with cloud-based platforms like AWS, Google Cloud, or Azure.
Requirement
- Fresh graduate in Computer Science, Engineering, Mathematics, Data Science, or related fields (or equivalent practical experience).
- Strong understanding of basic AI/ML concepts, algorithms, and techniques.
- Proficiency in programming languages such as Python and knowledge of libraries like NumPy, Pandas, and Matplotlib.
- Familiarity with machine learning frameworks like TensorFlow, PyTorch, or scikit-learn.
- Knowledge of data manipulation, statistical analysis, and data visualization.
- Good understanding of linear algebra, calculus, and probability.
- Willingness to learn and adapt to new technologies in the AI/ML field.
- Ability to work in a team and communicate technical concepts effectively.
- Strong problem-solving and analytical thinking skills.
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