Senior Data Scientist/Technical Lead/AI Researcher – Speech-to-text specialist

We are seeking an experienced Senior Data Scientist/Technical Lead/AI Researcher to join our team in developing state-of-the-art AI models tailored for applications in the energy industry.

This role offers a unique opportunity to apply advanced data science, machine learning, and engineering skills in a dynamic, collaborative startup environment. You will lead the end-to-end lifecycle of AI model development, from conceptualization through production, ensuring our solutions deliver measurable business value and align with industry demands.

Key Responsibilities:

1. Lead Development of NLP and Transformer Models: Design and optimize Natural Language Processing (NLP) models and transformer architectures for industry-specific applications, enabling intelligent processing of technical documents, reports, and unstructured data.

2. Speech-to-Text Research and Fine-Tuning: Conduct research and fine-tuning of speech-to-text models for local language and dialect applications, enhancing accuracy and usability in real-world scenarios. Integrate these capabilities into our local large language models (LLMs) for customized deployments.

3. Build and Scale Machine Learning Algorithms: Develop, deploy, and maintain machine learning models tailored to solve high-impact, real-world problems in the energy sector, ensuring models are robust, scalable, and maintainable.

4. Architect Data Pipelines and AI Infrastructure: Collaborate on the design of end-to-end data pipelines, APIs, and backend frameworks, ensuring data quality, consistency, and availability for AI applications.

5. Optimize Model Performance and Reliability: Focus on model optimization, tuning, and deployment strategies to enhance processing speed and reliability in production environments.

6. Drive Cross-Functional Collaboration: Partner closely with Engineering, AI, and Business teams to align technical solutions with business needs, leveraging insights for continuous improvement.

Qualifications:

1. Education: Advanced degree (Master’s or PhD) in Data Science, Computer Science, Engineering, or a related technical field.

2. Experience: Minimum 5 years in AI/ML/data science applications in production environment, with a proven track record in AI/ML model development, deployment, and maintenance. Previous experience in the energy or industrial sector is highly advantageous.

3. Analytical Mindset: Strong problem-solving skills and the ability to apply AI/ML solutions to complex technical problems in industrial applications.

4. GPU and Parallel Processing: Strong experience with GPU acceleration for deep learning, including CUDA programming, and experience with distributed computing frameworks (e.g., Dask, Spark) for parallel model training.

5. Technical Proficiency: Expertise in Python and proficiency in one or more additional languages (C#, Rust, etc.). Advanced understanding of NLP frameworks (Transformers, Hugging Face, etc.), machine learning libraries (TensorFlow, PyTorch), and data structures/algorithms.

6. Industry Insights: Enthusiasm for AI applications in the energy industry, with an understanding of how data science can drive business transformation.

Preferred Skills:

1. Technical Leadership: Proven experience leading technical teams in data science or AI/ML projects, with a strong ability to guide, mentor, and develop junior data scientists and engineers.

2. Strategic Vision: Ability to align technical objectives with business goals, making informed decisions that enhance both project impact and team productivity.

3. Project Management: Skilled in managing the AI/ML project lifecycle, from scoping and resource allocation to delivery and post-deployment monitoring.

4. Effective Communication: Strong ability to communicate complex technical concepts to both technical and non-technical stakeholders, ensuring transparency and alignment across departments.

5. Cross-Functional Collaboration: Demonstrated ability to work closely with product, engineering, and business teams to integrate AI solutions that meet strategic and operational needs.

What We Offer:

1. Impactful Work: Hands-on experience creating AI solutions with real-world applications in the energy industry.

2. Flexible Work Environment: Options for hybrid work with emphasis on deliverables.

3. Competitive Compensation: Competitive remuneration based on skills and experience.

About Us

AIngineer is at the forefront of driving digital transformation in heavy industries through innovative AI and data-driven solutions. Based in Kuala Lumpur, we are offering final-year and penultimate-year students an exciting opportunity to gain real-world industry experience. Join us as we tackle complex challenges and build scalable solutions to reshape the future of engineering and transform heavy industries.

Summary of role requirements:

• Flexible hours available
• More than 4 years of relevant work experience required for this role
• Working rights required for this role
• Expected start date for role: 01 December 2024
• Expected salary: RM10,000 - RM20,000 per month