Machine Learning Engineer

Weekday AI (YC W21); Bengaluru; On-site; INR 800,000 - 1,200,000; Full time

Job summary

A leading AI firm is seeking a Machine Learning Engineer to develop and deploy ML solutions in Bengaluru. This entry-level position involves building data pipelines, collaborating with cross-functional teams, and ensuring optimal model performance. The ideal candidate should possess a strong understanding of machine learning concepts and experience with real-world projects. This full-time role offers a competitive salary ranging from INR 8-12 LPA.

Qualifications

• Strong understanding of machine learning concepts, algorithms, and deployment workflows.
• Experience working with real-world ML projects and production systems.

Responsibilities

• Develop, train, and refine machine learning models for impactful use cases.
• Build and maintain data pipelines, preprocess datasets, and ensure data quality.
• Deploy ML models into production and monitor performance.
• Collaborate with teams to integrate ML solutions into applications.
• Conduct model evaluation, tuning, experimentation, and troubleshooting.
• Stay updated with modern ML frameworks, tools, and research advancements.

Skills

Machine Learning concepts

Deployment workflows

Data science collaboration

Job description

We are seeking a Machine Learning Engineer responsible for building and deploying high-performance ML solutions that power real-world applications. You will work closely with cross-functional teams to design scalable systems, optimize model performance, and enable data-driven decision-making.

Base pay range

• Salary range: Rs 800000 - Rs 1200000 (INR 8-12 LPA)
• Min Experience: 0 years
• Location: Bengaluru, India
• JobType: full-time

Key Responsibilities

• Develop, train, and refine machine learning models for practical and impactful use cases.
• Build and maintain data pipelines, preprocess datasets, and ensure high-quality data availability.
• Deploy ML models into production environments and continuously monitor performance.
• Collaborate with data scientists, engineers, and product teams to integrate ML solutions into applications.
• Conduct model evaluation, tuning, experimentation, and troubleshooting.
• Stay updated with modern ML frameworks, tools, research advancements, and best practices.

Skills & Experience

• Strong understanding of Machine Learning concepts, algorithms, and deployment workflows.
• Experience working with real-world ML projects and production systems.

Seniority level

Entry level

Employment type

Full-time

Job function

Other

Industries

IT Services and IT Consulting