Software Engineer Job Opportunity | Baker Hughes | Mumbai, MH

June 24, 2023

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Job description:

Baker Hughes is conducting an interview for the post of Software Engineer.

Job duties and responsibilities:

As Software Engineer, you will be involved in designing and implementing web/cloud applications and converting Machine learning models from POC to production while integrating it into the application. You will be responsible for designing, programming and technically guiding the team.

As Software Engineer – Python, you will be responsible for:

Software engineering for Machine learning. Converting Machine learning models provided by the Data scientist into production considering scalability, performance, integrating in the application, etc.
Working on enterprise-scale/complex project that require you to connect the business needs and domain with technical knowledge.
Working & collaborating with cross-functional teams of devops, quality engineers, product managers, Architects, Data engineers, Data Scientists, SMEs, etc to implement efficient solutions
Spearheading technical coaching to team members, code reviews
Leading and consulting in design of the application, supporting team execution.
Helping in designing interfaces and information exchange between modules. Subject matter expert (SME) on major modules.

Qualifications and experience required:

To be successful in this role you will:

0 to 3 years of total experience across software development and machine learning. At least 0+ years in Python backend development along with established leadership credentials.
Good to have experience in numpy, pandas, Scikit, TensorFlow, converting ML/DL/AI models to production ready, data processing & validation.
Prior experience of working on Analytics/Data Science projects (applications that manage and deploy ML/DL/statistical models to predict/prescribe) as a software developer will be an advantage.
Should be having experience in Team Management/People management
Expertise in architecture, design and software development best practices.
Willing to specialize in Machine Learning Engineering instead of general roles like Data
Scientist or backend dev. Motivated by scaling POC ML models to production level instead of constraining just to research driven ML POCs.
Have prior experience of implementing an application on Azure/AWS using microservices architecture; docker/containerization.
Have proficiency in Database (MySQL, PostgreSQL). Awareness of managed services like PostgreSQL, Redis.
Have deep understanding of Application and Infrastructure architecture and non-functional aspects like Performance, Scalability, Reliability, Availability etc.
Have good communication, Problem-solving skills, Collaboration, Influencing and articulation.
Have been a graduate of Computer Science or in STEM Majors (Science, Technology, Engineering, statistics, Math)