Junior ML Engineer | Machine Learning | AI | Cloud ML Pipelines | Azure

Antdata is looking for a Junior ML Engineer We are a data analytics company delivering advanced solutions that drive business success. We transform data into insights that lead to action. Our team also develops and deploys Machine Learning solutions that optimise decision‑making, automate processes, and enhance business operations. Do you enjoy building AI‑driven applications, optimizing ML models, and working with cloud‑based ML pipelines? If so, we have a role where your work will contribute to advanced AI solutions that generate real business impact. What You’ll Do Design, develop, and deploy end‑to‑end Data Science solutions, individually or collaboratively, for clients across various industries. Validate, preprocess, and transform data to extract meaningful insights, enhance data quality, and build efficient, reliable ML models using Python/Spark/SQL. Deploy and operationalise ML models in cloud environments, implementing robust monitoring, error handling, and CI/CD pipelines for seamless integration. Collaborate cross‑functionally with data engineers, BI developers, data analysts, and business stakeholders to define project goals, data strategies, and technical solutions. Develop LLM‑based applications (Chatbots, AI Agents) to facilitate faster information retrieval from structured and unstructured internal and external data. What We’re Looking For 1-2 years of hands‑on experience as an ML Engineer, Data Scientist or related field. Proficiency in Python/SQL/PySpark with experience in DS frameworks such as pandas, NumPy, scikit‑learn, SciPy, and XGBoost. Familiarity with ML concepts including tree‑based models, time‑series, gradient boosting, feature engineering, hyperparameter tuning, and model interpretability. Experience with cloud platforms (preferably Azure) and Databricks/MS Fabric. Eager to explore new technologies and stay up to date with modern data solutions. Nice To Have Familiarity with LLM‑based applications, including RAG, vector databases, embeddings, and frameworks like LangChain or LlamaIndex, and experience with an LLM API provider. Strong foundation in probability, statistics and Bayesian methods. Prior experience working in FMCG or business areas such as Supply Chain, Marketing, RGM, Sales & Operation Planning, and HR. Knowledge of MLOps practices, including CI/CD for ML, model monitoring, and governance using tools like GitHub/Azure DevOps, Docker, and MLflow. Experience presenting project process and results to non‑technical people. Why Join Us? Opportunities to strengthen your skills, broaden your experience, and work in a learning‑focused environment that supports continuous improvement. Remote‑first work environment with hybrid options available. Ready to develop advanced ML solutions and work with AI‑driven applications? If you meet the requirements, we encourage you to apply We value diversity and welcome candidates of all backgrounds to bring their unique perspectives to Antdata. Data Protection Notice: By applying for this position, you consent to the processing of your personal data by Antdata Sp. z o.o. Sp. k. (LLC Limited Partnership), acting as the data controller, for recruitment purposes in accordance with the General Data Protection Regulation (GDPR). Your personal data will be processed solely for the purpose of the recruitment process and will not be shared with third parties without your explicit consent. Seniority level Entry level Employment type Other Job function Engineering and Information Technology IT Services and IT Consulting Referrals increase your chances of interviewing at Antdata by 2x #J-18808-Ljbffr