Offer summary

Qualifications:

Bachelor's, Master's, or Ph.D. in Computer Science, Artificial Intelligence, or a related field., Proven experience as an AI engineer or algorithm scientist, with a track record of leading successful AI projects., Proficiency in AI and machine learning frameworks and programming languages, particularly Python., Strong expertise in data preprocessing, feature engineering, and model evaluation..

Key responsabilities:

Collaborate with product managers and stakeholders to define AI project objectives, requirements, and timelines.

Design, develop, and implement AI models, algorithms, and applications to solve complex business challenges.

Manage the end-to-end AI model lifecycle, including data collection, preprocessing, model training, evaluation, and deployment.

Stay updated with the latest advancements in AI and machine learning, incorporating best practices into projects.

Job description

BJAK is Southeast Asia's largest insurance aggregator.

Our team is goal-driven, highly motivated, and focused on product excellence to delight users. We are looking for individuals who want to challenge themselves and do meaningful work in life.

We have a flat organizational structure. All employees are expected to be hands-on and to contribute. Leadership is given to those who show initiative and consistently deliver excellence. There are no limits to growth. Work ethic and strong prioritization skills are important.

If you are the above, join us.

主な業務内容：

プロダクトマネージャーや関係者と連携し、AIプロジェクトの目標、要件、スケジュールを定義する
複雑なビジネス課題を解決するため、AIモデル、アルゴリズム、アプリケーションの設計・開発・実装を行う
データ収集、前処理、モデルのトレーニング、評価、デプロイメントまで、AIモデルのライフサイクル全体を担当する
AIおよび機械学習分野における最新の技術動向を常にキャッチアップし、プロジェクトにベストプラクティスを取り入れる
高度な分析および可視化技術を活用して、データに基づく意思決定を推進する
AIソリューションのセキュリティ、スケーラビリティ、効率性を確保する
最先端のAI技術を探求・統合するためのリサーチ活動を推進する

Key Responsibilities:

Collaborate with product managers and stakeholders to define AI project objectives, requirements, and timelines.
Design, develop, and implement AI models, algorithms, and applications to solve complex business challenges.
End-to-end AI model lifecycle, including data collection, preprocessing, model training, evaluation, and deployment.
Stay updated with the latest advancements in AI and machine learning, incorporating best practices into projects.
Drive data-driven decision-making through advanced analytics and visualization techniques.
Ensure the security, scalability, and efficiency of AI solutions.
Research efforts to explore and integrate cutting-edge AI techniques.

Requirements

応募資格・必須条件：

コンピュータサイエンス、人工知能、または関連分野における学士号、修士号、または博士号を有すること
AIエンジニアまたはアルゴリズムサイエンティストとしての実績があり、成功したAIプロジェクトをリードした経験があること
AIおよび機械学習フレームワークやプログラミング言語（例：Python）に精通していること
データ前処理、特徴量エンジニアリング、モデル評価に関する高度な専門知識を有すること
優れた問題解決力および批判的思考能力
効果的なコミュニケーション能力およびチームマネジメントスキル
AIおよび機械学習の最先端技術に対する強い情熱

Requirements:

Bachelor's, Master's, or Ph.D. in Computer Science, Artificial Intelligence, or a related field.
Proven experience as an AI engineer or algorithm scientist, with a track record of leading successful AI projects.
Proficiency in AI and machine learning frameworks and programming languages (e.g., Python).
Strong expertise in data preprocessing, feature engineering, and model evaluation.
Excellent problem-solving and critical-thinking skills.
Effective communication, and team management abilities.
A passion for staying at the forefront of AI and machine learning advancements.

Benefits

当社で働く魅力：