Machine Learning Engineer Job in Test Company
Machine Learning Engineer
Test Company
21 hours ago
- Bengaluru, Bangalore Urban, Karnataka
- Not Disclosed
- Full-time
Job Summary
Machine Learning Engineer Full-Time - Bengaluru, India - Data Science / Artificial Intelligence / Engineering
Join our dynamic Data Science / Artificial Intelligence / Engineering team in Bengaluru, India as a Full-Time Machine Learning Engineer and play a key role in driving data-driven innovation! We are seeking a skilled and results-oriented Machine Learning Engineer to design, build, and deploy scalable machine learning models that address real-world business challenges. You will collaborate closely with data scientists, engineers, and product managers to transform raw data into actionable insights and integrate intelligent features into our products.
As a Machine Learning Engineer, you will be responsible for the complete lifecycle of machine learning models and pipelines, from design and development to seamless deployment for a variety of applications. This includes classification, regression, clustering, recommendation systems, and time-series forecasting. You will leverage your expertise to preprocess and analyze large and complex datasets, extracting meaningful features and valuable insights. Collaboration with cross-functional teams will be crucial as you identify strategic ML opportunities and define clear success metrics.
A key aspect of this role involves optimizing machine learning models for peak performance, scalability, and accuracy within production environments. You will build robust APIs or efficient microservices to integrate these models seamlessly into our applications, utilizing tools such as Flask or FastAPI. Continuous improvement is paramount, and you will be responsible for the ongoing monitoring and retraining of models based on their performance and any signs of data drift. Staying at the forefront of the field is essential, and you will be expected to stay updated with the latest ML research and emerging technologies, applying them to continuously enhance our product capabilities.
Key Responsibilities:
Minimum Qualifications:
Preferred Qualifications:
What We Offer:
Join our dynamic Data Science / Artificial Intelligence / Engineering team in Bengaluru, India as a Full-Time Machine Learning Engineer and play a key role in driving data-driven innovation! We are seeking a skilled and results-oriented Machine Learning Engineer to design, build, and deploy scalable machine learning models that address real-world business challenges. You will collaborate closely with data scientists, engineers, and product managers to transform raw data into actionable insights and integrate intelligent features into our products.
As a Machine Learning Engineer, you will be responsible for the complete lifecycle of machine learning models and pipelines, from design and development to seamless deployment for a variety of applications. This includes classification, regression, clustering, recommendation systems, and time-series forecasting. You will leverage your expertise to preprocess and analyze large and complex datasets, extracting meaningful features and valuable insights. Collaboration with cross-functional teams will be crucial as you identify strategic ML opportunities and define clear success metrics.
A key aspect of this role involves optimizing machine learning models for peak performance, scalability, and accuracy within production environments. You will build robust APIs or efficient microservices to integrate these models seamlessly into our applications, utilizing tools such as Flask or FastAPI. Continuous improvement is paramount, and you will be responsible for the ongoing monitoring and retraining of models based on their performance and any signs of data drift. Staying at the forefront of the field is essential, and you will be expected to stay updated with the latest ML research and emerging technologies, applying them to continuously enhance our product capabilities.
Key Responsibilities:
- Design, develop, and deploy machine learning models and pipelines for diverse applications including classification, regression, clustering, recommendation, and time-series forecasting.
- Preprocess and analyze large datasets to extract meaningful features and actionable insights.
- Collaborate effectively with cross-functional teams to identify strategic ML opportunities and define clear success metrics.
- Optimize models for maximum performance, scalability, and accuracy in production environments.
- Build robust APIs or efficient microservices to integrate ML models into applications using tools like Flask or FastAPI.
- Continuously monitor and retrain models based on performance metrics and potential data drift.
- Stay updated with the latest ML research and technologies and apply them to enhance product capabilities.
Minimum Qualifications:
- Bachelor s or Master s degree in Computer Science, Data Science, Statistics, or a related field.
- 2+ years of proven experience as a Machine Learning Engineer or in a similar role.
- Strong proficiency in Python and key ML libraries such as Scikit-learn, XGBoost, TensorFlow, or PyTorch.
- Practical experience working with both SQL and NoSQL databases.
- Solid knowledge of essential data preprocessing, effective feature engineering, and robust model evaluation techniques.
- Familiarity with standard software engineering practices, including version control (Git), thorough code reviews, and efficient CI/CD pipelines.
Preferred Qualifications:
- Prior experience with deep learning, natural language processing (NLP), or computer vision.
- Familiarity with major cloud services like AWS, GCP, or Azure (especially SageMaker, Vertex AI, etc.).
- Understanding of modern MLOps tools and practices (e.g., MLflow, Kubeflow, DVC).
- Practical experience with containerization and orchestration tools (Docker, Kubernetes).
- Knowledge of big data tools (e.g., Spark, Hadoop) is considered a significant plus.
What We Offer:
- Competitive salary and performance-based incentives to reward your contributions.
- Comprehensive health insurance and valuable wellness benefits to support your well-being.
- Dedicated learning and development programs for continuous professional growth.
- Exciting opportunities to work on impactful, real-world AI/ML projects with significant scale.
- A collaborative, inclusive, and innovative work culture that fosters teamwork and creativity.
- Flexible working hours and a hybrid work model to promote a healthy work-life balance.
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