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Jobs(38,923)/Machine Learning Engineer Role(467)/smart-working-solutions (163) - Smart Working Solutions - Machine Learning Engineer (Remote, Full-Time) [HR141]
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smart-working-solutions - Smart Working Solutions - Machine Learning Engineer (Remote, Full-Time) [HR141]

Remote - India / Ahmedabad / Bangalore / Chennai / Delhi NCR / Hyderabad / Mumbai5mo ago
RemoteAPACInsuranceArtificial IntelligenceMachine Learning EngineerPythonLearning & DevelopmentData AnalysisGovernance

Requirements

• Strong experience building and maintaining machine learning or data science tooling in Python • Solid software engineering foundations, with a focus on clean, reusable, and well-tested code • Experience supporting or operating machine learning models in production • Understanding of the end-to-end analytical lifecycle, from experimentation to deployment and monitoring • Ability to work collaboratively across technical and non-technical teams to enable scalable solutions • Experience improving or enforcing engineering and ML best practices within a wider analytics function • Experience designing shared ML frameworks or internal analytics platforms • Exposure to pricing, insurance, or other highly regulated, data-intensive domains • Familiarity with model monitoring, value tracking, or ML governance practices • Experience working in large-scale transformation or modernisation programmes

Responsibilities

• Develop and implement machine learning models for various applications within the company's product lineup. • Collaborate with cross-functional teams to understand business needs and translate them into technical requirements. • Conduct data analysis and preprocessing to ensure high quality input for model development. • Evaluate existing ML algorithms or develop new ones tailored to specific use cases within the company's products. • Optimize machine learning models for better performance, accuracy, and efficiency. • Document all processes, methodologies, and findings in a clear and concise manner suitable for both technical and non-technical stakeholders. • Stay updated with industry trends and advancements to continuously improve the company's ML capabilities. • Participate in code reviews and contribute to maintaining high coding standards within teams. • Provide training or mentorship for team members on machine learning concepts, tools, and best practices as needed.

Benefits

• Fixed Shifts: 12:00 PM - 9:30 PM IST (Summer) | 1:00 PM - 10:30 PM IST (Winter) • No Weekend Work: Real work-life balance, not just words • Day 1 Benefits: Laptop and full medical insurance provided • Support That Matters:Mentorship, community, and forums where ideas are shared • True Belonging: A long-term career where your contributions are valued • At Smart Working, you’ll never be just another remote hire. • Be a Smart Worker - valued, empowered, and part of a culture that celebrates integrity, excellence, and ambition. • If that sounds like your kind of place, we’d love to hear your story.

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