AI Data Engineer

TechTorch is a pioneering service provider, known for its innovative approach to managing digital transformation projects. Through an AI-powered implementation platform and a global team of world-class managers and tech experts, TechTorch has enabled dozens of private equity firms to accelerate the realization of their business benefits.

Position Overview: We are seeking a talented and driven Data Engineer with exposition to AI Services (AWS Oriented) to join our dynamic team. You will be instrumental in developing and deploying innovative AI solutions.

Key Responsibilities:

• Leverage cloud-based AI services (AWS) to build scalable, robust, and secure AI applications.
• Python-based automation and deployments
• Develop generative AI models to address specific business challenges and enhance product offerings.
• Conduct in-depth data engineering pipelines with data quality and automation as first principle
• Collaborate closely with data scientists and stakeholders to integrate and optimize AI solutions within existing systems.
• Continuously evaluate and refine models based on feedback and performance metrics to ensure accuracy and efficiency.

Qualifications:

Education:

• Advanced degree (MSc or PhD) in Mathematics, Computer Science or related field.

Experience:

• Expertise in automation and workflow orchestration & automation.
• Proven experience in AI engineering, Machine Learning (ML), and GenAI.
• Expertise in developing and deploying Large Language Models (LLMs), NLP, and Generative AI.
• Practical experience deploying AI solutions on AWS, including familiarity with services such as SageMaker, AWS Lambda, EC2, and related AI/ML platforms.

Technical Skills:

• Proficient with modern data stack especially Snowflake or Databricks
• Hands-on experience with Python development
• Solid understanding of statistical analysis.
• Experience with containerization technologies such as Docker or orchestration platforms like Kubernetes.
• Familiarity with CI/CD practices and tools for AI model deployment. GitHub and Git experience is required.

Certifications:

• Relevant AWS certifications (AWS Certified Machine Learning Specialty, AWS Solutions Architect).

Key Competencies:

• Strong analytical skills and experience working with large datasets. Excellent communication skills, with the ability to clearly articulate technical concepts to non-technical audiences. Proactive approach, continuous learning mindset, and adaptability to evolving technologies.

What We Offer:

• Work in an international team.
• Collaborate with some of the largest private equity groups in the world.
• Opportunities for career growth and advancement.
• Autonomy in decision-making.
• Participation in building a new global company.
• Team integration events.