Job Description
Senior Software Engineer ( Req. experience: 7 to 8 years)
Primary Skills :-
Data Scientist
Responsibilities : –
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 optimisations, 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 analyse ML model performance and data accuracy
Primary Skills :-
Data Scientist
Responsibilities : –
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 optimisations, 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 analyse ML model performance and data accuracy
💡 Quick Summary
Seeking a career-building opportunity? The Senior Software Engineer Data Scientist position is now open for candidates interested in the Software Developer Jobs sector. This role in Bengaluru offers a professional environment and growth potential.
Requirement Snapshot: Candidates should possess basic communication skills, a proactive attitude, and the ability to work in a team. Experience in Software Developer Jobs is a plus.
