MM Staffing & Career Consultants Pvt Ltd
Location
Bangalore | India
Job description
- Develop, maintain, and optimize forecasting Machine Learning (ML) models for better accuracy. Collaborate with other data scientists and data engineers to ensure that specifications are translated into flexible, scalable, and maintainable solutions. Research and stay abreast of state-of-the-art machine learning technologies. Follow code standards and best practices.
- 7-8 years’ experience in data science or 3 years direct experience building forecasting solution. Familiar with forecasting algorithms, such as Time Series (Arima, Prophet), ML (GLM, XgBoost), Hierarchical model (Top Down, Bottom Up), DL (Seq2Seq, Transformer), and Ensemble methods. Hands-on experience with building end-to-end ML models and pipelines.
- Experience with Git, Bitbucket, Airflow, MLflow, Kubeflow, GCP Vertex AI, Databricks or equivalents. Experience & Knowledge of large-scale data processing and distributed systems such as Hadoop and SPARK. • Strong coding skills in Python, Spark and SQL.
- Strong communication and collaboration skills. Exposure in various statistical modelling, machine learning algorithm/techniques (ML) Experience with optimizations, debugging, fine-tuning existing applications in distributed computing environment for high performance and scalability with Big Data. Experience with an agile development environment. Exposure in tools/framework to monitor and analyze ML model performance and data accuracy.
EXPERTISE AND QUALIFICATIONS Technical Skills: • Machine Learning/Time series, SQL, Python Experience in working with large volume data and Hadoop /Pyspark environment is mandatory.
Preferred Qualifications:
- Bachelor’s degree in computer science, Data Science, Mathematics, or related technical field. Master/ PhD degree in Computer Science, Software Engineering, Mathematics, or related field
Git, Bitbucket, Airflow, MLflow, Kubeflow, GCP Vertex AI
Designation: Data Scientist
Vacancies: 2
Experience: 7.0 Year(s) - 8.0 Year(s)
Job tags
Salary
Rs 15 - 20 lakhs p.a.
