Senior Software Engineer

3 months ago


Bengaluru, India Qualite Manpower Full time

Senior Software Engineer, Machine Learning.

Exp : 7+ year.

Location : PAN India.

Notice Period Immediate.

Job Description :

- Collaborate on the implementation of monitoring tools to track the performance of machine learning.
models and predictive analytics features in production.

- Collaborate on the implementation and enforcement of data security measures and ensure compliance with relevant data protection regulations and standards.

- Contribute to documentation for machine learning models, algorithms, and predictive analytics. processes to ensure knowledge sharing and consistency across the team.

- Work closely with other developers, product owners, and stakeholders to understand requirements,.
provide technical insights, and ensure the successful delivery of features.

QUALIFICATIONS & EXPERIENCE :

- A bachelor's degree in computer science, engineering, or a related field.

- At least 7 years of professional experience working with TypeScript, C#, Python, SQL, Docker, and.

- Azure as part of an agile development team.

- At least 5 years of experience designing, developing, and deploying machine learning and predictive.
analytics features for cloud-hosted, Kubernetes-orchestrated applications.

- At least 3 years of experience leading machine learning and predictive analytics initiatives as part of a.
team practicing continuous software development.

- Proven experience designing, developing, and deploying machine learning models and predictive. analytics features.

COMPETENCIES :

- Strong expertise in software engineering and machine learning engineering as part of an agile software development team.

- Expertise in implementing solutions using machine learning frameworks and libraries.

- Excellent collaboration skills with the ability to communicate effectively with cross-functional teams,. translating technical concepts for non-technical stakeholders.

- Proficient in creating clear and concise documentation for code, architecture, and machine learning.
models.

- Strong analytical and problem-solving skills, with the ability to address complex challenges in yield and revenue management.

- Knowledge of data preprocessing, feature engineering, and model evaluation techniques.

- Familiarity with agile development practices and CI/CD pipelines.

(ref:hirist.tech)

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