Role Summary:
We are looking for a Junior AI Engineer to join our growing team. You’ll apply your skills in core ML algorithms, statistics, anomaly detection, and time-series forecasting to drive solutions across diverse domains. Exposure to LLM, RAG and LangChain will be beneficial. The ideal candidate is a problem solver who is eager to learn, experiment, and deliver real-world ML systems.
Responsibilities:
· Develop and implement machine learning models for anomaly detection and time-series forecasting.
· Use statistical methods and core ML algorithms (e.g., regression, classification, clustering) to extract insights from complex datasets.
· Work on exploratory data analysis (EDA), feature selection, and model tuning to ensure high-quality data and performance.
· Research, test, and implement state-of-the-art models in anomaly detection and forecasting tasks.
· Build RAG/semantic search pipelines (embeddings, vector stores, retrieval tuning).
· Fine-tune pre-trained models (e.g., language models) for domain-specific use.
· Stay updated with the latest ML/DL trends and apply them to current and future projects.
· Communicate results and insights to stakeholders via reports and dashboards.
· Collaborate with product/engineering to translate requirements into deliverables and timelines.
Minimum Qualifications:
· 0 to1 Year of hands-on experience working with machine learning models and data science.
· Core ML Algorithms & Statistics: Strong understanding of supervised and unsupervised learning (regression, classification, clustering, etc.) and foundational statistics.
· Anomaly Detection & Time-series Forecasting: Experience applying anomaly detection techniques and building time-series models (e.g., ARIMA, Prophet, LSTM).
· Libraries/Tools: Proficiency in Python and popular ML/DL libraries like numpy, scikit-learn, TensorFlow,HuggingFace, Keras, PyTorch, statsmodels, and pandas.
Nice to Have:
· Exposure to LLMs, RAG, LangChain.
· Familiarity with cloud platforms (AWS/GCP/Azure) and MLOps tools.
· Experience with version control (Git) and SQL is a plus.
· Ability to write clean, well-documented code and explain technical concepts clearly.