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Spark Tech Wave Innovation

Machine Learning Engineer

India · hybrid
via TheirStackBachelor's degree2–6 yrs

First seen Oct 8 · seen live today · via TheirStack

Skills mentioned

pythonsqlrestawsazuredockersparkpytorchmachine learningnlpdata sciencegit

The posting, as published

**Machine Learning Engineer Python | ML | Statistics | SQL** **Company:** Spark Techwave InnovationZ Pvt Ltd **Job Type:** Full-Time **Experience:** 2–6 Years **Location:** Chennai / Remote / Hybrid **Department:** Artificial Intelligence / Machine Learning Job Summary We are looking for a **Machine Learning Engineer** to develop, train, evaluate, and deploy machine learning models for real-world business applications. The ideal candidate should have strong **Python programming**, machine learning, statistics, data preprocessing, and model development skills. The candidate will work with data scientists, data engineers, and software engineers to build scalable and reliable ML solutions. Key Responsibilities - Develop and implement machine learning models for business problems. - Collect, clean, transform, and preprocess structured and unstructured data. - Perform exploratory data analysis and identify patterns and insights. - Perform feature engineering and feature selection. - Train, validate, test, and optimize machine learning models. - Select appropriate ML algorithms based on business requirements. - Evaluate models using appropriate performance metrics. - Perform hyperparameter tuning and model optimization. - Build reusable ML pipelines and workflows. - Deploy machine learning models into production environments. - Monitor model performance and identify model degradation. - Collaborate with Data Scientists, Data Engineers, Software Engineers, and business teams. - Document models, experiments, datasets, and technical solutions. - Continuously research new machine learning techniques and tools. Required Skills - Strong programming skills in **Python**. - Good understanding of **Machine Learning algorithms**. - Strong knowledge of supervised and unsupervised learning. - Knowledge of: - Linear Regression - Logistic Regression - Decision Trees - Random Forest - XGBoost / Gradient Boosting - K-Means Clustering - Classification and Regression - Good understanding of statistics and probability. - Experience with **NumPy, Pandas, and Scikit-learn**. - Experience with data preprocessing and feature engineering. - Knowledge of model evaluation and validation techniques. - Good SQL skills. - Understanding of Git/version control. Good to Have - Experience with **Deep Learning**. - PyTorch or TensorFlow. - NLP or Computer Vision experience. - Generative AI / LLM knowledge. - Experience with MLflow or other MLOps platforms. - Docker and containerization. - AWS / Azure / GCP. - Kubernetes. - Databricks or Spark. - Experience deploying ML models through REST APIs or FastAPI. - Knowledge of model monitoring and ML lifecycle management. Education Bachelor's or Master's degree in: - Computer Science - Information Technology - Artificial Intelligence - Data Science Please send your resume at *careers@sparktechwiz.com*

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