Search by job, company or skills

Machine Learning Engineer

Machine Learning Engineer

Fast Code AI
Fresher
Not Disclosed
  • Posted 2 months ago
  • Over 200 applicants have applied

Job Description

Job Title: ML Engineer - Partnership Track

Company: FastCode.AI

Location: Bangalore (In-office, 5 days/week)

About FastCode.AI: We're a 30-person AI/ML company building production systems for major clients. Half our team operates as partners - owning projects, managing P&L, and taking home percentages instead of just salaries. We believe in rapid growth through osmosis - 12 of our engineers started with zero ML experience and now lead complex projects.

About This Role: We're hiring exactly 2 ML Engineers who will join our partnership track. You don't need ML experience - our founder (PhD Max Planck, ex-Apple, ex-Weta Digital) and team will teach you. In 5-8 months, you'll be leading RAG pipelines, training models, and managing client relationships.

What You'll Do:

• Build and deploy ML systems for enterprise clients

• Own end-to-end projects from architecture to production

• Work directly with clients on requirements and delivery

• Progress from engineer to partner, managing your own P&L

• Collaborate with a team that ships code surviving Friday deploys

We're Looking For:

• Strong mathematical foundations and first-principles thinking

• High agency - you see problems and ship solutions without waiting for tickets

• Direct communication style - you push back with data

• Production mindset with emphasis on testing and monitoring

• Humility paired with ambition and hunger to grow

• Ability to write clearly and think systematically

Requirements:

• Bachelor's degree in any engineering discipline (or equivalent experience)

• Strong programming fundamentals

• Comfort with back-of-envelope calculations

• Willingness to work from our Bangalore office 5 days/week

Nice to Have: • Experience with Python (but we'll teach you) • Exposure to statistics/probability • Any technical project you're proud of

Compensation: 12-24 LPA based on experience + partnership track with revenue sharing

How to Apply:Application deadline: September 8, 2024, 8:00 AM IST

Email [Confidential Information] with:

  1. 150 words explaining why you're our next success story
  2. Description of one hard problem you've solved (technical or otherwise)
  3. Your LinkedIn profile link

We value clear thinking and strong writing. Show us both.

Why FastCode.AI: • Learn directly from industry veterans who've worked at Apple, Weta Digital, and published with Yann LeCun • Join alumni who've gone on to lead ML at US startups, co-found companies, and become professors • Transition from employee to partner - some 23-year-old partners out-earn senior engineers • Work on real production systems for major clients, not POCs • Grow faster than anywhere else - we've proven it works

Note: We're closing this role for 3 months after these 2 hires to focus on onboarding.

FastCode.AI is an equal opportunity employer committed to building a diverse and inclusive team.

More Info

Job Type:
Industry:
Function:
Employment Type:

Key Skills

Strong programming fundamentals

About Company

Similar Jobs

Bengaluru, India
Skills:
Machine Learning, MLops, Artificial Intelligence, Natural Language Processing, Information Retrieval, Python, Sql, Generative AI, Automation Workflows, Data Pipelines
Bengaluru, India
Skills:
Github, Sql, Python Programming, Data Profiling, Data Governance, Databricks Machine Learning, MLOps Understanding, Data Science Understanding, Model Registry, Jobs Pipeline, Batch Inference, Model Serving, MLflow, Unity Catalog
2-4 yrs
Bengaluru, India
Skills:
Machine Learning, Databricks, Sql, Python, Deep Learning, Graph Modelling, Knowledge Graphs, Identity Access Graph
Bengaluru, India
Skills:
Machine Learning, React, Pytorch, Python, Sql, AWS, Statistics and Probability, Scikit-learn, APIs and integration
Bengaluru, India
Skills:
Cloud Architecture, Databricks, Sql, Deep Learning, Machine Learning, Python, LLMs, Evaluation frameworks, MLOps tools, AI features for model inference, RAG systems, Identity Access Graph, Knowledge Graphs, Graph Modelling