Software Engineer- Python Fullstack

• Designing and architecting AI solutions for complex problems
• Analyzing business requirements, understanding constraints, and proposing appropriate machine learning models and algorithms
• Responsible for considering scalability, performance, and maintainability while designing the solution
• Provides technical guidance and mentorship to junior team members
• Sharing best practices, reviewing code and designs, and helping team members overcome technical challenges
• Participate in technical discussions and provide thought leadership within the organization
• Works closely with stakeholders, such as product managers, data scientists, and business analysts, to understand their requirements and translate them into technical solutions
• Collaborate with cross-functional teams to ensure alignment and successful AI and machine learning project implementation
• Responsible for driving continuous improvement and innovation in the organization's AI and machine learning practices
• Identifying areas of improvement, exploring new techniques or technologies, and promoting the adoption of best practices
• Be involved in evaluating and integrating third-party tools or services that can enhance the capabilities of AI solutions
• Facilitates design review sessions for your projects, ensuring alignment with project requirements and best practices
• Participates in and coordinates meetings, ensuring effective coordination and communication among team members
• Independently prepares and delivers detailed presentations and reports to stakeholders, translating complex technical concepts into understandable terms for non-technical audiences
• May be required to interpret and report data findings and maintain or update specific business intelligence tools, databases, dashboards, systems, or methods
• May be involved in the design and development of solutions to complex application problems, system administration issues, or network concerns, where applicable to the role

• Bachelor's degree in computer science, engineering, data science, machine learning, artificial intelligence, or closely related quantitative discipline
• Typically, 4-7 years’ experience
• Deep understanding of machine learning algorithms, such as linear regression, decision trees, support vector machines, random forests, deep learning models (e.g., neural networks), and reinforcement learning
• Proficient in model selection, hyperparameter tuning, and evaluating model performance using appropriate metrics
• Proficiency in programming languages such as Python, R, or Java is expected
• Experience developing production-level code and familiarity with software engineering best practices, version control systems (e.g., Git), and software development methodologies are also required
• Knowledge of libraries and frameworks like TensorFlow, PyTorch, sci-kit, and Keras is a plus
• Advanced knowledge and experience in deep learning
• Understanding advanced neural network architectures (e.g., convolutional neural networks, recurrent neural networks, transformers) and advanced techniques such as transfer learning, generative models, and optimization algorithms for deep learning
• Actively staying updated with the latest AI and machine learning research advancements
• Experience conducting research, exploring emerging technologies, and identifying opportunities to apply state-of-the-art techniques to solve complex problems
• Provide technical leadership, mentorship, and guidance to junior team members
• Must have excellent communication skills to collaborate with cross-functional teams and stakeholders effectively
• Possess strong problem-solving and critical thinking abilities to guide projects, make strategic decisions, and solve complex technical challenges

Master’s degree

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