Company Name:-
DataMetica

Job Location:-
Pune, Maharashtra

Job Summary:-
Job Description
Roles and ResponsibilitiesData Science – Senior Engineer – Python, R, Machine Learning/Deep Learning & NLP
Job Location: Pune
Experience: 3 to 6 years
Education: Bachelor’s or Master’s Degree in Computer Science Preferred (Acceptable: Engineering, Mathematics, Finance, Statistics, Operations Research)
Responsibilities:
Strong programming expertise in Python, R, real-world experience in ML/DL frameworks such as TensorFlow, PyTorch, Theano and others
Perform Data cleansing/transformation, feature engineering, apply statistical analysis, data visualization, data mining on very large Datasets.

Work with Cloud native tools (GCP or Azure), SQL and No-SQL Data Warehouse and Hadoop
Strong fundamentals of machine learning and deep learning algorithms
Experience in Development and planning ofdataextract-transform-load (ETL) processes.

Experience building and optimizing bigdatadatapipelines, architectures, datasets etc
Understanding of Designing, configuring, and using ML Engineering platforms like GCP Unified AI Platform, MLFlow, Kubeflow, or other platforms
Building CI/CD pipelines and orchestration for feature engineering, model training & inferencing
Experience in deploying and productionizing ML models at scale
Experience in Troubleshooting and tuning ML Models for high performance and scalability
Experience in Engineering & deployment to cloud services like Azure, GCP
Handle client interactions as and when required
Mandatory Skills:
Good communication skills, extreme attention to detail, ability to meet deadlines and prioritize workload.

Demonstrated high degree of organization and ability to manage multiple, competing priorities
Experience in any of the domains like retail, healthcare, telecom, finance, insurance etc.

Should possess extensive knowledge of and experience in applying data mining and machine learning techniques in a project context
Excellent understanding of machine learning, deep learning, NLP algorithms and Recommendation systems.

High level of proficiency in statistical tools like R, ML-DL Frameworks
Proficiency in programming languages like Java or Scala/R/Python
Knowledge and experience of AI ML services/components on Cloud platforms (GCP/Azure)
Experience with relational database

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