Role: AI Engineer (Junior)
Year: 2026
Qualification: Bachelors
Experience (years): 0-1
Job description:
• 0–1 year of experience as an AI/ML Engineer, Data Scientist, or similar role, or strong academic/personal projects in AI/ML.
• Bachelor’s degree in Computer Science, Engineering, Data Science, Mathematics, or equivalent practical experience.
• Solid Python skills for data processing and model development.
• Understanding of core ML concepts: supervised/unsupervised learning, evaluation metrics, overfitting, etc.
• Experience with at least one ML framework (e.g., scikit‑learn, TensorFlow, or PyTorch).
• Ability to work with databases (SQL/NoSQL) and basic messaging/queue systems to move data in and out of models.
• Strong problem‑solving mindset, eagerness to learn, and comfort working in a fast‑moving environment.
• Good communication skills and willingness to collaborate in a team and with non‑technical stakeholders.
• Experience running or fine‑tuning local LLMs (e.g., via Ollama) or other open‑source models.
• Exposure to workflow automation, or operations-heavy domains.
• Familiarity with basic MLOps tools (MLflow, DVC, Weights & Biases) and containerization (Docker).
• Basic knowledge of any cloud platform (AWS, Azure, GCP) for deploying services.
• Experience integrating ML models into web backends (REST APIs, microservices, Node.js/Next.js).
• Understanding of vector databases or simple retrieval/RAG systems for LLM-based solutions.
• Awareness of ethical AI, bias, and privacy considerations. 

Technical skills: Python, ML, TensorFlow/PyTorch, Scikit-Learn, MLOps, Model Training, Feature Engineering, RAG, AWS/Azure, LLMs
Soft skills: Communication, Problem Solving