Job Description
Job Summary:
We are seeking a highly motivated and enthusiastic Applied AI Engineer (Fresher) to join our team. The ideal candidate should have a strong foundation in Artificial Intelligence, Machine Learning, and Data Science, with a passion for building real-world AI solutions. This role offers an excellent opportunity to work on cutting-edge AI applications, collaborate with experienced professionals, and gain hands-on industry experience.
Key Skills & Technologies :
Artificial Intelligence, Machine Learning, Deep Learning, NLP, Computer Vision, Python, TensorFlow, PyTorch, Scikit-learn, Pandas, NumPy, Data Analysis, Model Training, Data Preprocessing, Neural Networks, APIs, REST, Git, SQL, Cloud (AWS/GCP/Azure), Prompt Engineering, LLMs (Large Language Models), OpenAI, LangChain
Job Description (JD):
- Assist in developing AI and machine learning models to solve real-world business problems
- Work with senior engineers and data scientists on model design and implementation
- Collect, clean, and preprocess data for analysis and model training
- Support in testing, validating, and improving model performance
- Help in deploying AI models into production environments
- Collaborate with cross-functional teams to understand business requirements
- Perform basic data analysis and generate insights
- Document processes, models, and project outcomes
- Stay updated with latest AI/ML trends, tools, and technologies
- Contribute to building intelligent applications and automation solutions
Roles & Responsibilities:
- Assist in developing AI/ML models for real-world applications
- Perform data collection, cleaning, and pre-processing
- Implement machine learning algorithms under guidance.
- Work on NLP and/or Computer Vision projects
- Support deployment of models using APIs or cloud platforms
- Collaborate with cross-functional teams to understand requirements
- Test, evaluate, and improve model performance
- Stay updated with latest AI trends and technologies
Eligibility Criteria:
- Bachelor’s degree in Computer Science, IT, AI, Data Science, or related field
- Basic understanding of Machine Learning and AI concepts Knowledge of Python programming
- Familiarity with ML libraries like TensorFlow, PyTorch, or Scikit-learn
- Understanding of data structures and algorithms
- Strong problem-solving and analytical skills
- Good communication and teamwork abilities