Tolken
More roles at TolkenApplied Scientist / Applied ML Engineer
Remote role where the employee must remain based in a particular country.
India only
From the listing details: Source listing states candidate location: "India (Remote), Remote"
Employer listed it 7 months ago · Added 5 weeks ago
Been open since 7 months ago. Long-running listings are sometimes left up after the role is filled.
Salary
Not stated
Location
India only
Timezone
APAC
Contract
Full-time
Experience
Senior
Category
Data
The employer did not publish a salary, and we have too few comparable roles to estimate one.
What the advert says
Quoted word for word from the employer's advert. Where it says nothing, we say so.
- Working hours
- Not mentioned in the advert
- Where you can work from
- Location eligibility not confirmed
- Contract
- Not mentioned in the advert
- Experience asked for
3-7 years of experience as an ML Engineer, Applied Scientist, or Data Scientist in industry.
- Pay
- Not mentioned in the advert
Remote flexibility
Work from home
This is a remote role, but the employee must be based in India. It is work from home rather than work from anywhere.
What the employer says
- Source listing states candidate location: "India (Remote), Remote"
What Nomaders makes of it
- Residency required in India
- Payroll and tax are likely handled in that country only
The quotes above are the employer's own words; the reading is ours. Always check the original listing and employment terms before working from another country.
Before you apply
Questions worth asking: Nomaders interpretation
- The advert does not say where you can be based. Ask which countries they can legally employ or contract you from.
- No pay is stated. Ask for the salary range before investing time in interviews.
- The advert does not say whether this is employment or a contractor arrangement. Ask, as it affects tax and benefits.
Produced automatically from this advert's text; not reviewed by a person. The employer's own page is the final word.
About the role
The Role
We are looking for an Applied Scientist / Applied ML Engineer to design, build, and deploy machine learning models that power pricing, bidding, and decisioning on a cross-border payments platform. This role owns problems end to end, from formulation to production, and partners closely with Product and Backend Engineering.
Key Responsibilities
End-to-End ML Ownership
Own end-to-end ML solutions for pricing, bidding, and risk decisioning.
Formulate model objectives from first principles, including loss functions, constraints, and metrics, and implement them as production-grade services.
Experimentation & Iteration
Design and run experiments, including A/B tests and offline evaluations, and iterate with clear success metrics.
Production Monitoring
Monitor models in production, investigate regressions, and continuously improve performance.
Requirements
Essential
3-7 years of experience as an ML Engineer, Applied Scientist, or Data Scientist in industry.
Bachelor's or Master's in Computer Science, Machine Learning, Mathematics, Statistics, or equivalent practical experience.
Strong Python skills, including pandas, NumPy, and scikit-learn, plus at least one of PyTorch, TensorFlow.
Strong ML fundamentals, including supervised and unsupervised learning, model evaluation, regularization, feature engineering, and statistics.
Experience designing models from first principles and shipping them to production, in batch or real-time.
Hands-on experience with data pipelines and ETL, such as Airflow or Spark, and strong SQL for feature engineering.
Experience integrating ML into REST or gRPC APIs and microservice architectures.
Ability to design and interpret experiments with statistical rigor.
Strong problem-solving and communication skills, and the ability to work effectively in cross-functional and distributed teams.
Nice to Have
Optimization, bandits, or decision-making under uncertainty, including dynamic pricing and bid optimization.
Bidding, auctions, marketplace, or recommendation systems experience.
Requirements
- ·3-7 years of experience as an ML Engineer, Applied Scientist, or Data Scientist in industry.
- ·Bachelor's or Master's in Computer Science, Machine Learning, Mathematics, Statistics, or equivalent practical experience.
- ·Strong Python skills, including pandas, NumPy, and scikit-learn, plus at least one of PyTorch, TensorFlow.
- ·Strong ML fundamentals, including supervised and unsupervised learning, model evaluation, regularization, feature engineering, and statistics.
- ·Experience designing models from first principles and shipping them to production, in batch or real-time.
Benefits
- ·Real ML in production with direct impact on pricing, risk, and vendor decisions at scale.
- ·Ownership of core models with room to influence architecture and roadmap.
- ·Strong engineering peers and complex optimization problems in a high-growth fintech.
- ·Equal Opportunities Statement
- ·Tolken is an equal opportunity employer. We are committed to creating an inclusive environment for all employees.
How to apply
- 1Check the flexibility label above, work from home, matches where you plan to live and work.
- 2Tailor your CV to the role at Tolken, mentioning your remote working experience and working hours (APAC).
- 3Apply directly on the employer's careers page using the button below. Nomaders never handles your application.
Found 1mo ago. Last checked today. Always confirm the details on the original posting, salary and location can change after publication.
Listing sourced from Company boards.
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