Junior AI Engineer
Job Title: Junior AI Engineer
Location: Thane Mumbai(On-Site)
Employment Type: Full-Time
Experience: 2-4 Years
We are looking for a Junior AI Engineer who is passionate about data, machine learning, and building intelligent systems. This role is ideal for candidates who want hands-on exposure to real-time AI use cases and production-grade systems.
Key Responsibilities
Assist in designing, developing, and deploying machine learning and AI models.
Work with large datasets for data cleaning, preprocessing, and feature engineering.
Implement ML algorithms using Python and relevant libraries.
Support model training, testing, and performance evaluation.
Collaborate with senior engineers to integrate AI models into applications/APIs.
Perform basic data analysis and visualization to derive insights.
Participate in code reviews, documentation, and knowledge-sharing sessions.
Stay updated with the latest trends in AI, ML, and Generative AI.
Required Skills & Qualifications
Bachelor’s degree in Computer Science, AI, Data Science, or related field.
Strong foundation in Python programming.
Basic understanding of Machine Learning concepts (Supervised, Unsupervised learning).
Familiarity with ML libraries: NumPy, Pandas, Scikit-learn.
Basic knowledge of Deep Learning frameworks such as TensorFlow or PyTorch.
Understanding of data structures, algorithms, and statistics.
Good problem-solving and analytical skills
Willingness to learn and adapt in a fast-paced environment.
Good To Have (Preferred Skills)
Exposure to NLP, Computer Vision, or Generative AI .
Experience with Jupyter Notebook / Google Colab.
Basic understanding of SQL / NoSQL databases.
Knowledge of REST APIs and model deployment concepts.
Familiarity with Git/GitHub.
Internship or academic projects related to AI/ML.
Location: Thane Mumbai(On-Site)
Employment Type: Full-Time
Experience: 2-4 Years
We are looking for a Junior AI Engineer who is passionate about data, machine learning, and building intelligent systems. This role is ideal for candidates who want hands-on exposure to real-time AI use cases and production-grade systems.
Key Responsibilities
Assist in designing, developing, and deploying machine learning and AI models.
Work with large datasets for data cleaning, preprocessing, and feature engineering.
Implement ML algorithms using Python and relevant libraries.
Support model training, testing, and performance evaluation.
Collaborate with senior engineers to integrate AI models into applications/APIs.
Perform basic data analysis and visualization to derive insights.
Participate in code reviews, documentation, and knowledge-sharing sessions.
Stay updated with the latest trends in AI, ML, and Generative AI.
Required Skills & Qualifications
Bachelor’s degree in Computer Science, AI, Data Science, or related field.
Strong foundation in Python programming.
Basic understanding of Machine Learning concepts (Supervised, Unsupervised learning).
Familiarity with ML libraries: NumPy, Pandas, Scikit-learn.
Basic knowledge of Deep Learning frameworks such as TensorFlow or PyTorch.
Understanding of data structures, algorithms, and statistics.
Good problem-solving and analytical skills
Willingness to learn and adapt in a fast-paced environment.
Good To Have (Preferred Skills)
Exposure to NLP, Computer Vision, or Generative AI .
Experience with Jupyter Notebook / Google Colab.
Basic understanding of SQL / NoSQL databases.
Knowledge of REST APIs and model deployment concepts.
Familiarity with Git/GitHub.
Internship or academic projects related to AI/ML.
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