Senior Artificial Intelligence (AI) Engineer

Technical Requirements

Core Expertise

●     Strong understanding of Machine Learning algorithms and advanced analytics, including:

●     Bayesian statistics, clustering, NLP, time series analysis, neural networks

●     Expertise in Natural Language Processing (NLP) (preferred) or Computer Vision

●     Proficiency in Python (NumPy, Pandas, SciPy) or equivalent languages (R, Java, Scala, Julia)

●     Hands-on experience with ML frameworks like Scikit-Learn, PyTorch, TensorFlow

●     Experience with Generative AI and Large Language Models (LLMs) in real-world applications

●     Strong experience in MLOps and end-to-end ML system development & deployment

●     Experience with web frameworks: Flask, FastAPI, or Django

●     Familiarity with cloud platforms: AWS, Azure, or GCP

●     Strong knowledge of SQL/NoSQL databases and data systems

●     Solid understanding of software engineering practices:

●     SDLC, Git, CI/CD, Docker, scalability

Bonus Skills

●     Experience with Big Data tools: Apache Spark, Kafka, Kinesis

●     Familiarity with cloud ML platforms (e.g., AWS SageMaker, GCP ML Engine)

●     Experience with data visualization tools like Tableau or Power BI

Soft Skills

●     Self-driven with a strong problem-solving mindset

●     Ability to work across teams and regions

●     Proven leadership and mentoring capabilities

●     Excellent communication (written and verbal)

●     Client-facing confidence and professionalism

●     Strong analytical thinking and decision-making skills

●     Experience working in Agile environments (Scrum/Kanban)

●     Detail-oriented with strong documentation skills

●     End-to-End Ownership: Lead the complete AI lifecycle—from ideation and design to deployment and maintenance

●     Innovation & Research: Explore emerging AI technologies to improve system performance and scalability

●     Engineering Excellence: Implement best practices including CI/CD, automation, and quality assurance

●     Architectural Leadership: Contribute to system design decisions and maintain strong technical documentation

●     Risk Management: Identify project risks, perform root cause analysis, and implement preventive strategies

●     Collaboration: Work closely with product managers, engineers, and business stakeholders

●     Continuous Learning: Stay updated with the latest advancements in AI, ML, and data science

●     Mentorship: Guide and support junior team members in their professional growth

●     Organizational Contribution: Promote a culture of quality, innovation, and continuous improvement

Alpinist Studios is seeking a highly skilled and experienced Senior AI Engineer to lead the development of cutting-edge, data-driven solutions. This role is ideal for professionals who are passionate about Artificial Intelligence, thrive in dynamic environments, and are eager to shape impactful, real-world applications.