AI/ML Engineer | Codersbrain
contractual
Posted on July 26, 2025
Job Description
AI ML Engineer
Company Overview
Information regarding the company is not provided.
Job Summary
The AI ML Engineer will be responsible for designing and implementing AI solutions, particularly focusing on building AI agents and chatbots utilizing collected data. This role plays a critical part in enhancing user interactions and automating responses through intelligent systems.
Responsibilities
- Develop and deploy AI agents and chatbots to enhance user experiences.
- Analyze and visualize data to derive actionable insights.
- Implement machine learning algorithms and deep learning techniques to improve system performance.
- Collaborate with cross-functional teams to integrate AI solutions into existing applications.
- Conduct testing and validation of AI models to ensure system reliability and accuracy.
Qualifications
- Programming Languages: Proficiency in Python is essential; familiarity with Java, R, C++, and JavaScript is also required.
- Machine Learning and Deep Learning: Strong foundation in algorithms and techniques such as linear regression, decision trees, and neural networks.
- Natural Language Processing (NLP): Skills in NLP techniques (text classification, sentiment analysis, language modeling) for chatbot development.
- Data Analysis and Visualization: Proficiency in data analysis and visualization using tools like Pandas.
- AI Frameworks and Libraries: Familiarity with frameworks such as TensorFlow, Keras, PyTorch, and Scikit-learn.
- Educational Qualifications: Bachelor's degree in Computer Science, Data Science, Artificial Intelligence, or a related field.
Preferred Skills
- Experience in developing chatbots or virtual assistants.
- Knowledge of cloud platforms such as AWS, Azure, or Google Cloud that support AI solutions.
- Familiarity with software development methodologies (Agile, Scrum).
Experience
- Minimum of 3 years of relevant experience in AI and ML engineering roles.
Environment
- This position is based in Noida, with a hybrid work arrangement (2 days in the office, 3 days remote).
Salary
- Salary budget is approximately ₹1.3 Lakh.
Growth Opportunities
Information regarding career advancement opportunities is not provided.
Benefits
Details on offered benefits are not provided.