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Data Engineer

SpectraHR | Your People Partner

5 years

0 Lacs

Pune Maharashtra India

Posted:1 month ago| Platform:

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Skills Required

data stack ai ml model development deployment maintenance forecasting optimization analytics analysis testing collaboration design engineering iot monitoring learning tooling automation mlflow airflow containerization docker kubernetes automate visualization reporting powerbi tableau mathematics portfolio manufacturing sustainability programming python pyspark xgboost tensorflow pytorch numpy mllib fastapi flask apache spark postgresql sql nosql mongodb aws azure gcp orchestration git

Work Mode

On-site

Job Type

Full Time

Job Description

Job Designation - Full Stack Data Engineer - AI/ML Location - Mundhwa, Pune Years of experience - 5 years Key Responsibilities: · Model Development & Deployment: Develop and deploy ML/DL models for predictive maintenance, anomaly detection, forecasting (e.g., energy production, equipment failure), and performance optimization of renewable assets. · Advanced Analytics: Perform exploratory data analysis (EDA), hypothesis testing, and statistical modeling to identify trends, patterns, and correlations in large datasets. · Collaboration with Engineers: Work closely with data engineers to design and validate data pipelines that feed ML models and analytics dashboards. · Feature Engineering: Engineer meaningful features from sensor and operational data, integrating diverse data sources such as IoT, weather, and operational logs. · Model Monitoring & Optimization: Monitor model performance post-deployment and implement continuous learning and model retraining pipelines (MLOps). · Business Understanding: Translate business objectives into analytical solutions and communicate findings effectively with both technical and non-technical stakeholders. · Tooling & Automation: Use platforms like MLflow, Airflow, and containerization tools (Docker/Kubernetes) to automate ML workflows. · Visualization & Reporting: Create dashboards and visualizations using PowerBI, Tableau, or open-source tools to present insights and model outputs to business users. Required Skills and Qualifications: · Education: Bachelor’s or Master’s degree in Data Science, Computer Science, Engineering, Applied Mathematics, or a related field. · Experience: 5+ years of experience in data science roles with a strong portfolio of delivered projects, ideally in the energy, manufacturing, industrial IoT, or sustainability domains. · Technical Proficiency: · Programming: Python (must), Pyspark, R (optional) · Libraries/Frameworks: scikit-learn, XGBoost, TensorFlow/PyTorch, pandas, NumPy, MLflow,NLP, LLMs like BERT, GPT, T5, Mllib, FastAPI / Flask · Big Data Tools: PySpark, Apache Spark · Databases: PostgreSQL, Dynamo, MS SQL, NoSQL (MongoDB, Cassandra) · Cloud Platforms: AWS (preferred), Azure or GCP · Orchestration: Apache Airflow, AWS Step Functions, Lambda · Version Control: Git Show more Show less

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Data Engineer