Machine Learning Engineer

Job description

Job Summary

We are looking for a highly skilled and experienced ML Engineer to join our team. The ideal candidate will have 3-4 years of experience working as a ML Engineer, with a strong focus on NLP, machine learning, and GCP. As a ML Engineer, you will be responsible for developing and implementing data-driven solutions that leverage NLP and machine learning techniques to solve complex business problems.

Key Responsibilities: - Develop and implement machine learning models and algorithms that leverage NLP techniques. - Collaborate with data engineers to design and implement data pipelines and ETL workflows using GCP technologies such as BigQuery and SQL. - Analyze and interpret large and complex datasets to identify patterns, trends, and insights. - Develop and implement data visualization solutions that effectively communicate insights to nontechnical stakeholders. - Work closely with cross-functional teams to understand business requirements and develop datadriven solutions that meet those requirements.

Requirements: -Bachelor's or Master's degree in Computer Science, Engineering, Mathematics, or a related field.Exposure to time series modelling is a bonus. - 3-4 years of experience working as a Data Scientist with a strong focus on NLP and machine learning. - Strong understanding of GCP technologies such as Big Query and SQL. - Proficient in Python programming and machine learning libraries such as numpy, scikit-learn, pandas and PyTorch. - Strong problem-solving and communication skills and the ability to work independently and as part of a team. - Excellent communication skills and the ability to explain complex technical concepts to nontechnical stakeholders. If you have a solution oriented inquisitive mind and love indulging it in cutting edge AI and applications and working with similar minded people, a great career awaits you at Cloudcraftz.

Notice Period: 30 days/currently serving notice

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