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Responsibilities
• Build pipeline, feature engineering, train models, benchmark performance on test data and explain outcomes.
Must‑Have Technical Skills
• ML & Time‑Series : Gradient Boosted Trees (XGBoost / LightGBM), Random Forest, linear models; LSTM / GRU; autoencoders; one‑class / LOF / Isolation Forest; changepoint detection; ARIMA / SARIMA; Croston / TSB for intermittent demand.
Domain
Power plant operations / HMB concepts, reliability engineering, maintenance KPIs; ERP / CMMS (SAP PM / MM), inventory optimization.
Qualifications
• Bachelor's Degree in Artificial Intelligence, Business Analytics, Data Science, Computer Science, Mathematics, Engineering or related field.
• Minimum 5+ years of experience in executing AI / ML projects.
Ideally, you’ll also need :
• A commitment to research.
• A highly data‑focused and investigative approach to problem‑solving.
What we look for :
If you are a performance‑driven, inquisitive mind with the agility to adapt to ambiguity, you will fit right in. You should be eager to explore opportunities to build meaningful collaborations with stakeholders and aspire to create unique customer‑centric solutions. Bias for action and a passion to conquer new frontiers in the AI.
Seniority level
Mid‑Senior level
Employment type
Contract
Job function
Information Technology
Industries
Staffing and Recruiting
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