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*