Associate Engineer - AI/ML with Python

0 to 1 year of experience (or strong academic/project exposure) in AI, ML, or Software Development .

Programming knowledge in Python (mandatory); exposure to GoLang, Java, SQL, JavaScript is a plus.

Understanding of HTML, CSS , and modern web application architecture.

Familiarity with Machine Learning fundamentals and common ML algorithms.

Hands-on exposure to ML libraries: TensorFlow, PyTorch, Scikit‑learn, Pandas, NumPy .

Basic understanding of NLP, Transformers, and Large Language Models (OpenAI, LLaMA) .

Knowledge of RESTful APIs , JSON , and SQLAlchemy .

Experience (academic or project-based) with Git, GitHub or Bitbucket .

Awareness of CI/CD pipelines , build processes, and software deployment concepts.

Strong analytical thinking and problem‑solving mindset.

Practical experience with Agentic AI concepts (tools, reasoning, planning, memory).

Hands-on projects using Hugging Face , LangChain , or LlamaIndex .

Exposure to RAG architectures and vector databases.

Experience with Docker, Kubernetes, Jenkins, Kibana .

Familiarity with AWS services for application or ML deployment.

Internship or academic project experience in AI/ML or Full‑Stack Development .

Open‑source contributions or personal GitHub projects.

Bachelor’s degree (or final‑year student) in Computer Science, AI/ML, Data Science, or a related field .

Strong foundation in programming, data structures, and software engineering basics .

Passion for AI, autonomous systems, and emerging technologies .

Ability to learn quickly and work effectively in a fast‑paced, collaborative environment .