Lead Consultant, Senior ML Architect

3 weeks ago


Kolkata, India Genpact Full time

Genpact (NYSE: G) is a global professional services and solutions firm delivering outcomes that shape the future. Our 125,000+ people across 30+ countries are driven by our innate curiosity, entrepreneurial agility, and desire to create lasting value for clients. Powered by our purpose – the relentless pursuit of a world that works better for people – we serve and transform leading enterprises, including the Fortune Global 500, with our deep business and industry knowledge, digital operations services, and expertise in data, technology, and AI.

Inviting applications for the role of Lead Consultant-Senior ML Architect

In this role, the person is responsible for designing and architecting scalable machine learning solutions, developing models, and ensuring their successful deployment. This role requires collaboration with data scientists, ML engineers, and stakeholders to create impactful AI-driven solutions.

Responsibilities:

Solution Design:

Design and architect end-to-end Machine Learning and AI solutions.

Collaborate with stakeholders to understand requirements and translate them into technical specifications.

Identify key requirements for a positive ROI from proposed solutions

Estimate the total cost of ownership of the proposed solution

Model Development:

Working knowledge of statistical and machine learning models as well as identification of guard rails for model performance

Develop and optimize machine learning models for various use cases.

Ensure models are robust, scalable, and efficient.

Integration and Deployment:

Work with engineering teams to integrate models into production systems.

Implement CI/CD pipelines for continuous integration and deployment.

Collaboration:

Work closely with data scientists, engineers, and business stakeholders.

Provide technical guidance and mentorship to team members.

Monitoring and Maintenance:

Familiar with drift detection as well as retraining scenarios 

Implement monitoring tools to track model performance and health.

Troubleshoot and resolve issues to ensure model reliability.

Security and Compliance:

Ensure compliance with data privacy and security standards.

Stay updated on industry best practices for ML security.

Qualifications we seek in you

Minimum Qualifications:

Bachelor’s degree in computer science, Engineering, or a related field.

Strong programming skills in Python, R, or Java.

Experience with cloud platforms (AWS, Azure, GCP).

Proficiency in ML frameworks (TensorFlow, PyTorch, Scikit-learn).

Strong problem-solving and analytical skills.

Excellent communication and collaboration abilities.

Preferred Qualifications/skills:

Advanced degree in a relevant field.

Experience with big data technologies (Hadoop, Spark).

Knowledge of DevOps practices and CI/CD tools.


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