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Data and Ai Engineering Lead

3 weeks ago

Singapore PALO IT Full time

**WHO WE ARE**:
PALO IT is a global innovation consultancy and Agile software development company dedicated to helping organizations embrace tech as a force for good. We work with clients to rapidly launch products and services, create new business models, and prepare leadership and culture for the future. We are a community of innovators, designers and technologists across 11 offices and five continents (France, Hong Kong, Singapore, Thailand, Australia, Mexico and Colombia).

We're committed to helping businesses transform to better our world. We're proud to be a **World Economic Forum (WEF) New Champion**, and a **B Corp-certified company** in Singapore and Hong Kong, currently working towards certification across all other locations.

The Data and AI Engineering Lead is both a hands-on and a team lead role to design, build and execute machine learning techniques on large, complex, structured / unstructured data sets to find out hidden patterns and predictive signals. As a Team Lead, you will lead a team of AI and ML experts to develop innovative solutions and intelligence for our clients, collaborate with clients and other PALO IT teams to design comprehensive end-to-end solutions, and contribute to the development of assets/accelerators to scale solutions and drive efficiency.

**YOUR RESPONSIBILITIES**:

- Team Lead: providing technical guidance, coaching, and managing career development plans for your mentees.
- Manage and mentor a team of professionals, including assigning tasks, providing guidance and feedback.
- Manage team members' performance and career development, including setting goals, providing regular feedback, and identifying opportunities for growth and development
- Foster a collaborative and innovative work culture within the team, encouraging continuous learning and professional development.
- Develop and implement roadmap that supports the team's goals and objectives
- Collaborate with the Sales team during pre-sales process to create proposals for potential clients
- Collaborate with clients and other PALO IT teams to understand client requirements, design comprehensive end-to-end approach, and implement AI and ML solutions that meet client's needs
- Contribute to and participate in the development of assets/accelerators to scale solutions and drive efficiency
- Provide technical expertise in supervised and unsupervised machine learning techniques and algorithms
- Monitor project progress, provide regular reports to management, and ensure timely and high-quality project and team delivery.
- Keep up-to-date with emerging trends and technologies, and make recommendations for improvement and innovation within the team and stakeholders
- Contribute to Palo IT thought leadership through research and publication support

**YOUR PROFILE**:

- You hold a Bachelor, Master or PhD degree in Computer Science, Statistics or related discipline, and strong academic performance with analytic and quantitative coursework
- 6+ years of experience in building and deploying machine learning/AI models
- Experience in coaching and career development, with a strong focus on helping team members achieve their full potential
- Excellent problem-solving skills and the ability to think critically and strategically
- Willingness to be part of a multi-disciplinary team to solve real business problems from ideation to implementation
- Excellent communication and interpersonal skills, with the ability to collaborate effectively with clients and cross-functional team
- Ability to work in a fast-paced, deadline-driven environment and manage multiple projects simultaneously
- Knowledge of the latest trends in generative AI, including tools such as Langchain, LlamaIndex and prompt engineering

**Expert knowledge and experience in**
- Open AI APIs, LLMs, and other relevant technologies
- Supervised/unsupervised machine learning techniques and algorithms
- Developing and fine-tuning deep-learning NLP models including LLMs. (Bonus if experience includes such models as a component of a larger ML pipeline or prompt engineering)
- Programming languages such as R, Python (NumPy, pandas), SPSS etc.
- Machine learning frameworks (e.g PyTorch, TensorFlow, scikit-learn, Spark MLlib, Caffe)
- Data science platforms (e.g. Dataiku, Databricks, Snowflake, HuggingFace)
- Other machine learning deployment services and enablers (e.g. MLflow, Docker, FastAPI)
- Using SQL and data preparation activities including data wrangling, data modelling, data cleaning, feature engineering, and tokenization
- Data viz tools and/or charting libraries (eg. Tableau, Qlik, D3.js, GGplot, matplotlib, seaborn)

**MUST HAVE**:

- Consultancy experience
- Team Leadership
- A strong interest in AI technologies
- Developing and deploying end to end solutions (from POC to Production)

**NICE TO HAVE**:

- Generative AI
- Prompt Engineering Experience optimizing LLM token usage.
- PALO IT Singapore is an equal opportunity employer. Employment decisions will b