AI Engineer Senior Associate Hybrid

TASQ Staffing Solutions; Taguig; Vor Ort; PHP 1.200.000 - 1.800.000; Vollzeit

Zusammenfassung

TASQ Staffing Solutions is seeking an AI Engineer Senior Associate to transform raw data into actionable insights within its Advisory practice. You will leverage advanced analytics, statistical modeling, and data visualization to drive data-driven decisions and business growth.

You will build client relationships, guide teammates, and navigate ambiguity while delivering high-quality AI solutions. Proficiency in Python, C++, R, ML frameworks, and cloud DevOps will help you mentor others and scale

Qualifikationen

• Bachelor's degree required.
• 4–7 years of experience.
• English proficiency required.
• Full-stack/backend skills: Python, Angular/React, RESTful APIs, microservices, SQL/NoSQL, testing, architecture.
• Hands-on AI apps using LLMs, embeddings, vector databases with LangChain, LlamaIndex or Autogen.
• Cloud and DevOps: Azure, AWS, GCP, Docker, Kubernetes, CI/CD, Git, security, reliability.

Aufgaben

• Develop advanced data solutions to transform raw data into insights.
• Leverage statistical modeling and visualization for business problems.
• Use ML tools like TensorFlow and Scikit-Learn to improve decisions.
• Conduct exploratory and descriptive analyses for strategy.
• Build data pipelines and data lakes for large-scale processing.
• Collaborate with clients to tailor analytics solutions.
• Apply C++ and R to develop data science workflows.
• Ensure data quality and integrity through data engineering practices.
• Mentor junior team members in data science methods.
• Stay updated with AI and data science advances.

Kenntnisse

Full-stack development

Python

C++

R

REST APIs

Ausbildung

Bachelor's degree

Tools

TensorFlow

Scikit-Learn

LangChain

LlamaIndex

Autogen

Docker

Kubernetes

Jobbeschreibung

Job Description

About the Job

As an AI Engineer Senior Associate, you will play a pivotal role in transforming raw data into actionable insights, enabling informed decision-making and driving business growth. Within our Advisory practice, you will focus on leveraging advanced analytics and statistical techniques to extract insights from large datasets and drive data-driven decision-making. You will work on exploratory and descriptive analysis, statistical modeling, and creating data visualizations to help solve complex business problems and inform strategic decisions.

As a Senior Associate, you will build meaningful client connections and learn how to manage and inspire others. Navigating increasingly complex situations, you will grow your personal brand and deepen your technical skills. You are expected to anticipate the needs of your teams and clients, delivering quality solutions. Embracing increased ambiguity, you will be comfortable when the path forward isn’t clear, using these moments as opportunities to grow.

Responsibilities

• Developing and implementing advanced data solutions to transform raw data into actionable insights
• Leveraging statistical modeling and data visualization techniques to solve complex business problems
• Utilizing machine learning algorithms and tools such as TensorFlow and Scikit-Learn to enhance data-driven decision-making
• Conducting exploratory and descriptive analysis to inform strategic decisions and drive business growth
• Building and maintaining data pipelines and data lakes to support large-scale data processing
• Collaborating with clients to understand their data needs and deliver tailored analytics solutions
• Applying programming skills in languages such as C++ and R to develop and optimize data science workflows
• Confirming data quality and integrity through rigorous data engineering practices
• Mentoring junior team members in data science methodologies and techniques
• Engaging in continuous learning to stay updated with the latest advancements in artificial intelligence and data science

Must Have

• At least a Bachelors degree
• At least 4 to 7 years of experience
• Oral and written proficiency in English required
• Strong full-stack or backend development skills, including Python, Angular or React, RESTful APIs, microservices, SQL/NoSQL databases, testing, and software architecture.
• Hands-on experience building AI-integrated applications, using LLMs, RAG, embeddings, vector databases, and frameworks such as LangChain, LlamaIndex, or Autogen.
• Proven cloud and DevOps capability, including Azure, AWS, or GCP deployment, Docker, Kubernetes, CI/CD, Git, security, reliability, and scalability.

What Sets You Apart

• Preference for at least one of the following fields of study: Artificial Intelligence and Robotics, Business Analytics, Computer and Information Science, Computer Engineering, Computer Programming, Data Processing/Analytics/Science, Engineering, Information Technology, Machine Learning, Management Information Systems, Mathematics, Statistics, Systems Engineering
• Demonstrating proficiency in data science algorithms and workflows
• Utilizing machine learning and deep learning techniques effectively
• Excelling in complex data analysis and predictive modeling
• Applying knowledge of programming languages such as C++, R, and MATLAB
• Leveraging experience with data engineering and data pipeline management
• Navigating ambiguity while building meaningful client relationships