Hakkōda, an IBM CompanyRemote
Consultant - AI Engineering
United States of America
Full Time
3 weeks ago
H1B Sponsor Likely
Key skills
PythonAI engineeringMachine learningLangchainVector StoresAI/ML algorithmsSupervised learningUnsupervised learningReinforcement learningCloud platformsAWSAzureGoogle CloudData analyticsData engineeringSQLHadoopSparkData pipelinesNatural language processingComputer visionAIMachine LearningMLNLPNatural Language ProcessingComputer VisionLangChainData EngineeringAnalyticsSnowflakeGCPGitHubGitLabBitbucketVersion ControlPerformance OptimizationAgileScrumCommunicationProblem SolvingCollaboration
About this role
Hakkōda, an IBM Company, is a modern data consultancy that empowers organizations to realize the full value of the Snowflake Data Cloud. The Consultant - AI Engineering will develop and train AI tools, collaborate with clients to integrate AI solutions, and ensure deployment and optimization of these technologies.
Responsibilities:
- AI Solution Design: Collaborate with cross-functional teams to design AI models and algorithms that solve business problems for clients
- Model Development: Build, train, and deploy machine learning models, natural language processing systems, and computer vision applications
- Client Engagement: Understand client requirements, present AI solutions, and work with clients to integrate AI technologies into their business processes
- Data Preprocessing: Clean, analyze, and prepare large datasets for machine learning and AI model training
- Implementation & Deployment: Implement AI solutions and ensure smooth deployment on cloud-based environments, ensuring scalability and performance optimization
- Cloud Management Strategies: Oversee and maintain a deep understanding of various services like AWS, Azure, and GCP
- Collaborative Problem Solving: Work with software development and IT teams to integrate AI models into production systems and ensure their continuous improvement
- AI Research & Innovation: Stay ahead of industry trends and emerging technologies in AI and data science, and leverage this knowledge to drive innovation within the organization
- Documentation: 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
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
- Experience working in a professional services or consulting environment is highly desirable
- 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
- 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