Why is remote work so nice? Let's try to see!
Apply
Lead AI Engineer
Posted 3 days agoViewed
💎 Seniority level: Lead, 7-8 years
🔍 Industry: Software Development
🏢 Company: Dreamix Ltd.
⏳ Experience: 7-8 years
Requirements:
- Bachelor or Master’s degree in Computer Science, Data Science, Statistics, Mathematics, or a related field
- 7-8 years experience in data science, machine learning, AI engineering or software development, with a demonstrated track record of deploying machine learning models and AI solutions in production environments
- In-depth knowledge of transformer-based models such as BERT
- Experience with LLMs: commercial (Anthropic, OpenAI) and non-commercial (e.g. Llama)
- Knowledge of prompt-engineering techniques such as CoT, few-shot learning, and fine-tuning/PEFT
- Proficiency in Python, including common frameworks and packages: numpy, pandas; Scikit-learn; TensorFlow, PyTorch; Spacy; LangChain, LlamaIndex
- Familiarity with cloud computing platforms, specifically the AWS suite
- Hands-on involvement in deploying models using containerization and orchestration tools like Docker and Kubernetes
- Exceptional problem-solving skills and a strategic mindset, with the ability to drive change and influence organizational direction
- Strong leadership capabilities and excellent communication skills, with the ability to engage teams and stakeholders
Responsibilities:
- Drive the design, development, and deployment of advanced AI and GenAI systems to solve complex business challenges
- Partner with cross-functional teams to translate business requirements into robust technical solutions and actionable insights
- Lead teams of 3-5 AI/ML engineers, data engineers, and MLOps professionals
- Work closely with software developers to integrate AI and data-driven modules into larger software solutions, ensuring seamless functionality and performance
- Mentor and guide junior data scientists and engineers, promoting best practices in AI/ML development
- Conduct comprehensive data analysis and model validation to ensure the robustness, reliability, and scalability of AI/ML solutions
- Translate complex technical concepts and results to non-technical stakeholders clearly and persuasively, facilitating informed decision-making
- Participate in ad hoc pre-sales efforts, leveraging technical expertise to support business development initiatives
Related Jobs
Apply
🔥 Lead AI Engineer (Indonesia)
Posted about 20 hours ago
📍 Indonesia
🔍 Financial Services
🏢 Company: Bjak👥 101-250Price ComparisonInsurTechInformation Technology
- Bachelor's, Master's, or Ph.D. in Computer Science, Artificial Intelligence, or a related field.
- Proven experience as an AI engineer or data 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 leadership, communication, and team management abilities.
- A passion for staying at the forefront of AI and machine learning advancements.
- Lead and mentor a team of AI engineers, providing technical guidance, coaching, and fostering their growth.
- 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.
- Oversee 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.
- Drive data-driven decision-making through advanced analytics and visualization techniques.
- Ensure the security, scalability, and efficiency of AI solutions.
- Lead research efforts to explore and integrate cutting-edge AI techniques.
Backend DevelopmentLeadershipPythonSQLArtificial IntelligenceETLKerasMachine LearningNumpyPyTorchAlgorithmsREST APIPandasTensorflowData visualizationTeam managementData modelingData analytics
Posted about 20 hours ago
ApplyRelated Articles
Posted 7 months ago
Insights into the evolving landscape of remote work in 2024 reveal the importance of certifications and continuous learning. This article breaks down emerging trends, sought-after certifications, and provides practical solutions for enhancing your employability and expertise. What skills will be essential for remote job seekers, and how can you navigate this dynamic market to secure your dream role?
Posted 7 months ago
Explore the challenges and strategies of maintaining work-life balance while working remotely. Learn about unique aspects of remote work, associated challenges, historical context, and effective strategies to separate work and personal life.
Posted 7 months ago
Google is gearing up to expand its remote job listings, promising more opportunities across various departments and regions. Find out how this move can benefit job seekers and impact the market.
Posted 7 months ago
Learn about the importance of pre-onboarding preparation for remote employees, including checklist creation, documentation, tools and equipment setup, communication plans, and feedback strategies. Discover how proactive pre-onboarding can enhance job performance, increase retention rates, and foster a sense of belonging from day one.