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Betopia Group

Senior AI/ML Engineer – Team Lead at Betopia Group — Lead Production AI Solutions

Dhaka
Deadline: 2026-01-19
4 Positions

Job Overview

Company: Betopia Group
Location: Dhaka
Type: FullTime
Salary: Negotiable
Posted: 2025-12-20
Experience: 5 Years

Education Requirements

Bachelor's degree in Computer Science, Engineering, Statistics or related field required; Master's preferred

Job Responsibilities

  • Lead and mentor a team of AI/ML engineers and data scientists, ensuring high code quality and collaboration.
  • Design and deliver production-ready AI/ML solutions that solve real business problems at scale.
  • Collaborate with product, engineering, and business teams to translate requirements into maintainable ML systems.
  • Own the end-to-end ML lifecycle: data, modeling, deployment, monitoring, and iteration.
  • Build and maintain scalable ML pipelines for training, inference, monitoring, and retraining.
  • Promote best practices around model performance, reliability, interpretability, and responsible AI.
  • Partner with platform and DevOps teams for smooth integration of ML services into production.
  • Review code and improve engineering and deployment workflows.
  • Stay current with AI/ML developments and assess adoption value.

Required Skills

  • Machine learning and deep learning
  • Applied statistics
  • Python (advanced)
  • PyTorch, TensorFlow, or JAX
  • ML engineering practices: testing, reproducibility, performance optimization
  • Model deployment and monitoring
  • MLOps tools (MLflow, Kubeflow, Airflow) - desirable
  • Experience with LLMs, generative AI, or RAG systems - desirable
  • NLP, computer vision, or recommendation systems - desirable
  • Technical leadership and mentorship

Benefits & Compensation

  • Profit share
  • Salary review: yearly
  • Two festival bonuses per year
  • One weekly day off (Friday or Sunday based on company policy)
  • Regular working hours (9:00 AM to 6:00 PM)
  • Supportive and collaborative work environment
  • Opportunities to lead impactful AI solutions in production

Job Description

OverviewBetopia Group is hiring a Senior AI/ML Engineer – Team Lead to design, build, and scale production-grade artificial intelligence systems. This is an exciting job opportunity at a forward-looking company where you will lead a high-performing engineering team and deliver measurable AI solutions. This circular is targeted to candidates in Bangladesh and invites qualified applicants to apply before the deadline.Why join Betopia Group?Work on real-world, production AI systems impacting business outcomes.Lead and mentor talented engineers and data scientists.Collaborate closely with product, engineering, and business stakeholders.Competitive and negotiable salary with profit share and annual reviews.Key responsibilitiesLead and mentor a team of AI/ML engineers and data scientists, setting high standards for code quality, ownership, and collaboration.Design and deliver production-ready AI/ML solutions that solve real business problems at scale.Work closely with product, engineering, and business teams to convert requirements into practical and maintainable ML systems.Own the end-to-end ML lifecycle: data preparation, model development, deployment, monitoring, retraining, and iteration.Build and maintain scalable ML pipelines for training, inference, monitoring, and retraining.Promote best practices around model performance, reliability, interpretability, and responsible AI use.Partner with platform and DevOps teams to ensure smooth integration of ML services into production.Review code, improve engineering processes, and evolve development and deployment workflows.Stay up to date with new developments in AI/ML and assess what’s worth adopting.Required skills and qualifications5+ years of experience in AI/ML engineering or applied data science, with models deployed in production.Proven leadership or mentoring experience and ability to enforce high technical standards.Strong foundation in machine learning, deep learning, and applied statistics.Hands-on experience with frameworks like PyTorch, TensorFlow, or JAX.Advanced Python skills and solid ML engineering practices (testing, reproducibility, performance).Experience with model deployment, monitoring, and MLOps practices.Ability to translate ambiguous problems into scalable, well-designed solutions.Nice-to-have skillsExperience with large language models (LLMs), generative AI, or RAG systems in production.Familiarity with MLOps tools such as MLflow, Kubeflow, or Airflow.Background in NLP, computer vision, or recommendation systems.EducationMinimum: Bachelor’s degree in Computer Science, Engineering, Statistics, Mathematics, or a related field. Master’s degree preferred. (The company may consider equivalent hands-on experience.)ExperienceMinimum 5 years in AI/ML engineering or applied data science with demonstrated experience taking models to production. Candidates with less formal education but demonstrable production experience are encouraged to apply.Location & Work ModeJob location: Dhaka (Mohakhali), Bangladesh. This is an on-site role (work at office).Compensation & BenefitsSalary: Negotiable.Profit share and yearly salary review.Two festival bonuses per year.One weekly day off (Friday or Sunday, based on policy).Regular working hours: 9:00 AM to 6:00 PM.Supportive environment with opportunities for growth and learning.How to applyThis job circular is open until the deadline. Online apply is enabled for this position. Please review your CV and apply before the closing date. If you are interested in leading impactful AI initiatives at a growing company in Bangladesh, apply now and ensure your application reaches the company by the last date.Important keywords: job, company, circular, bangladesh, apply.Note: All provided details are extracted from the employer’s posting. Candidates should verify specifics with the hiring organization and follow the official apply instructions published by the company.

Quick Apply

Posted Date 2025-12-20
Location Dhaka
Vacancy 4
Job Type FullTime
Salary Negotiable
Deadline 2026-01-19
Experience 5 Years

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