Machine Learning Engineer – Mid/Senior

🕒 March 20

Apply Now

Find Similar Remote Jobs

Set Up Email Alert For New Jobs

📊 Check your resume score for this job

Improve your chances of getting an interview by checking your resume score before you apply.

Upload Resume

Smart Working

WebsiteLinkedInAll Job Openings

51 - 200 employees

🤝 B2B

☁️ SaaS

🎯 Recruiter

B2B • SaaS • Recruitment

Smart Working is a recruitment service specializing in sourcing and providing top-tier software developers from around the world to meet the needs of businesses. With a robust vetting process that includes technical assessments and background checks, Smart Working ensures that clients receive highly skilled developers adept in various programming languages and frameworks. The company focuses on flexible and remote hiring solutions, allowing businesses to efficiently scale their development teams while benefiting from significant cost savings.

📋 Description

• Extract, clean, and structure data from internal systems • Design and develop end-to-end ML pipelines (data ingestion → model → deployment) • Train, evaluate, and optimise models to improve accuracy and business impact • Integrate machine learning models into internal tools and existing systems • Work with stakeholders to translate business problems into ML solutions • Continuously monitor and improve model performance • Introduce and promote ML best practices, standards, and tooling • Contribute to building and scaling the organisation’s AI capability • Collaborate with engineering teams to ensure scalable and reliable deployment of solutions

🎯 Requirements

• 4+ years total experience (Mid–Senior level) • Python – 3+ years (substitutes: other ML-focused languages for exceptional candidates) • Machine Learning – 3+ years • SQL / Databases – 3+ years (substitutes: other database technologies) • .NET / C# – 1+ year • Azure – 1+ year (substitutes: AWS) • Experience building production-grade ML systems and pipelines • Ability to work with large datasets (structured and unstructured) • Strong problem-solving skills with a focus on real-world business impact • Experience working closely with stakeholders and cross-functional teams • Project ownership experience

🏖️ 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