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– Provide guidance on system architecture decisions, making sure the technical direction aligns with business goals
– Conduct thorough code reviews, ensuring best practices are followed, identifying potential issues, and mentoring junior developers in improving their coding skills
– Provide technical guidance, share knowledge, and help junior and mid-level engineers grow in their roles by reviewing their work and offering constructive feedback
– Be able to break down large, complex tasks into smaller, manageable components and distribute them among team members
– Handle complex technical challenges, debugging, and resolving issues that may be beyond the scope of junior engineers
– Understanding and utilization of software development tools including version control, building processes, debuggers, and test frameworks for: Typescript, Angular JavaScript, Node.js, React.js Python, AWS Services, IaC: Terraform, CloudFormation, Serverless
– AWS services (OpenSearch, Lambda, DynamoDB, Kinesis, RDS, ECS, and others)
– SOAP/REST web service APIs
– Redis, NoSQL
– AWS SageMaker, Glue
– Microsoft SQL Server.
– 3+ years` experience developing in Angular, Typescript, JavaScript or Node.js
– 3+ years` experience developing in AWS Technologies
– 2+ years of AI/ML experience with a strong technical focus
– 2+ years` experience in Python, TensorFlow/PyTorch, or cloud platforms
– Bachelor`s degree or higher in Computer Science or a closely related field
– Proven leadership in high-impact AI projects, with a history of mentoring team members and developing innovative methods that drive departmental objectives
– Strong verbal and written English communication skills
– Experience developing web applications, working with databases, and consuming APIs
– Ability to work independently with limited supervision
– 2+ years of AI/ML experience with a strong technical and strategic focus, with expertise in machine learning algorithms, NLP, computer vision, or large-scale deployment
– 2+ years expertise in machine learning algorithms, NLP, computer vision, or large-scale deployment
– 2+ years` experience in creating data systems for feature stores or vector databases
– Experience with cloud computing infrastructures such as AWS or Azure
– Use of source code repositories such as Azure DevOps and Git
– Experience working with SQL Server and NoSQL databases