Lead Ai Engineer

Summary

Join Hakkoda, a modern data consultancy specializing in Snowflake Data Cloud, as an AI Engineer. You will develop and train AI tools to automate client processes, collaborating with cross-functional teams to design and implement AI solutions. Responsibilities include building and deploying machine learning models, working with large datasets, and ensuring smooth deployment on cloud platforms. You will need a Bachelor's degree in a related field, 3-5 years of experience in AI engineering, and expertise in Python and AI technologies. Hakkoda offers a collaborative environment, competitive benefits including medical, dental, vision, life insurance, paid parental leave, flexible PTO, bonuses, work-from-home benefits, and professional development opportunities.

Requirements

• Bachelor’s degree in Computer Science, Data Science, AI, or related field (Master’s or Ph.D. is a plus)
• Minimum of 3-5 years of experience in AI engineering, machine learning, or related fields
• Expert proficiency in Python, with experience in other programming languages highly valued
• Deep knowledge and practical implementation of advanced AI technologies, including Langchain, Vector Stores, etc
• Strong understanding of AI/ML algorithms (supervised/unsupervised learning, reinforcement learning)
• Familiarity with cloud platforms (AWS, Azure, Google Cloud) for deploying AI models
• Experience with data analytics and data engineering tools (SQL, Hadoop, Spark)
• Proven experience in planning, developing, and implementing complex data pipelines
• Strong communication skills with the ability to explain complex AI concepts to non-technical stakeholders
• Ability to work in a fast-paced, client-facing environment with attention to detail
• Strong problem-solving skills and the ability to think creatively to solve client challenges

Responsibilities

• Collaborate with cross-functional teams to design AI models and algorithms that solve business problems for clients
• Build, train, and deploy machine learning models, natural language processing systems, and computer vision applications
• Understand client requirements, present AI solutions, and work with clients to integrate AI technologies into their business processes
• Clean, analyze, and prepare large datasets for machine learning and AI model training
• Implement AI solutions and ensure smooth deployment on cloud-based environments, ensuring scalability and performance optimization
• Oversee and maintain a deep understanding of various services like AWS, Azure, and GCP
• Work with software development and IT teams to integrate AI models into production systems and ensure their continuous improvement
• Stay ahead of industry trends and emerging technologies in AI and data science, and leverage this knowledge to drive innovation within the organization
• Prepare detailed documentation for AI models, algorithms, and implementation processes to ensure knowledge transfer and scalability
• Manage and enforce best practices for version control and collaboration tools, such as Github, Bitbucket, and Gitlab

Preferred Qualifications

• Knowledge of industry-specific AI applications (e.g., healthcare, financial services, supply chain, retail/CPG)
• Experience with natural language processing (NLP) and computer vision technologies
• Previous experience in an Agile or Scrum environment

Benefits

• Medical, Dental, Vision
• Life Insurance
• Paid parental leave
• Flexible PTO Options
• Company Bonus Program
• Work from home benefits
• Technical training and certifications
• Robust learning and development opportunities
• Trip to Costa Rica