Chotot

Overview of job

• Translate ambiguous business problems into well-defined ML/DS problems. Investigate the real issue before proposing a solution, scope the right approach, and know when ML is the wrong answer.
• Set technical direction for ML initiatives in your problem area. Make build-vs-buy, ML-vs-heuristic, and model-architecture decisions based on cost, latency, complexity, and business impact — not novelty.
• Own ML systems end-to-end in production: data ingestion, training, serving, monitoring, retraining, and rollback. Anticipate and design around failure modes — data drift, train/serve skew, feedback loops, cold start, and label leakage — before they hit users.
• Build and ship the services, APIs, and integrations around your models, working across the stack to deliver ML-powered features users actually touch.
• Define the metrics that matter — offline evaluation, online A/B tests, and long-term business KPIs — and defend them. Question metrics you're handed when they don't reflect real user or business value.
• Partner with product, design, and business stakeholders to shape the roadmap, not just execute it. Translate model behavior and data insights into narratives that drive decisions at both tactical and executive levels.
• Raise the technical bar of the team through design reviews, code reviews, and mentorship. Your output is measured by what you ship and by what you unblock and elevate in others.

• Working in a young, dynamic, and supportive environment.
• Receive 100% salary during the probation.
• Social insurance full-salary for employee in the probation
• Premium healthcare for employees.
• Get 15 days of annual leave + 5 days of sick leave + 1 birthday leave + 1 Christmas day leave per year

• Get a 13th-month salary and annual performance bonus.
• Laptop device will be provided
• Participate in regular team-building activities and company parties.
• Learning and career development opportunities with access to Coursera, Udemy, and O’Reilly.
• Complimentary fruits, coffee, and tea are provided at the office.
• Our modern offices serve perfectly for a relaxed, yet productive work environment.
• You will grow with the FRUIT values of Fast Growth, Responsibility, User-first, Integrity, and Team.
 

• Total 5+ years of experience designing, building, and operating production — ideally in e-commerce or marketplace domains (recommendation, search, ranking, pricing, segmentation, or trust & safety).
• At least 2 YOE working as ML/AI engineer role
• Fluent use of AI coding assistants and LLM-based tools in your daily workflow (Claude Code, Copilot, or equivalent). At Chotot, AI is a compulsory tool in product development.
• Hands-on experience owning ML systems end-to-end in production environments
• Excellent English communication — you will work directly with cross-country teams
• Experience building and scaling ML-powered products from early-stage development to large-scale production usage, with strong ownership across product iteration, system reliability, and business impact.
• Track record of ML systems you personally took from problem framing to production and measurable business impact — not just trained models, but shipped features users interacted with.
• Experience Python and SQL, with hands-on experience in a cloud data warehouse (BigQuery preferred) and a public cloud (GCP preferred).
• Solid grasp of both classical ML and deep learning. You pick the right tool for the constraint rather than defaulting to the latest paper.