AI Engineer (Fresher)

• Employment Type: Full-time, Regular
• Work Mode: Work from Office
• Reports To: Practice Manager AI & ML

• Assist in developing, implementing, and automating AI and machine learning models.
• Support tasks in data integration, data preparation, and natural language processing.
• Contribute to the design and development of data storage and processing solutions for AI applications.
• Work on data visualization using tools such as Power BI or similar platforms.
• Stay updated with the latest trends in AI, machine learning, and data engineering.

Qualifications

Educational Background:

• M.Tech in Computer Science, Data Science, Artificial Intelligence, or related fields from a reputed institution.

Technical Skills

• Strong foundation in Python programming and familiarity with AI-related Python packages.
• Basic understanding of SQL and database technologies (e.g., SQL Server, Azure Cosmos DB).
• Exposure to frameworks and platforms like PySpark or Databricks is a plus.

Preferred Knowledge

• Familiarity with machine learning concepts and libraries like TensorFlow, PyTorch, or Scikit-learn.
• Awareness of natural language processing (NLP) tools and techniques.
• Basic understanding of cloud services (preferably Azure, but also AWS or Google Cloud).
• Exposure to code repositories and version control tools like Git.

Soft Skills

• Strong problem-solving skills and a willingness to learn in a dynamic environment.
• Ability to collaborate effectively in team settings.
• Good communication skills to articulate technical ideas and findings.

Desirable Skills (Good to Have)

• Knowledge of MLOps practices and tools.
• Basic exposure to large language models (LLMs) and projects involving OpenAI.
• Experience in additional programming languages or platforms like Scala, Hive, or R.

For more information or inquiries, contact our HR team at [email protected].