AI_DEVELOPER

Collaborate with clients to understand their business needs and identify opportunities for AI-driven solutions


Design and develop PoCs using AI and machine learning technologies to demonstrate the feasibility and value of proposed solutions


Work closely with client, cross-functional teams, including data scientists, engineers, and product managers, to ensure successful implementation of PoCs


Stay up-to-date with the latest advancements in AI and related technologies, and apply this knowledge to improve our solutions


Present PoCs to clients, gather feedback, and iterate on solutions to meet client requirements


Provide technical guidance and mentorship to junior team members

Requirements:
Proven experience in designing and developing AI solutions, including PoCs


Strong knowledge of machine learning algorithms, data processing, and model deployment


Proficiency in programming languages such as Python, R, or Java


Experience with AI frameworks and libraries such as TensorFlow, PyTorch, or scikit-learn


Excellent problem-solving skills and the ability to think creatively


Strong communication and presentation skills, with the ability to explain complex concepts to non-technical stakeholders


Ability to work independently and as part of a team in a fast-paced environment

Preferred Qualifications:
Experience with cloud platforms such as AWS, Azure, or Google Cloud


Knowledge of natural language processing (NLP) and computer vision techniques


Familiarity with agile development methodologies

Technical Stack:
Programming Languages: Python, R, Java
AI Frameworks/Libraries: TensorFlow, PyTorch, scikit-learn
Data Processing: Pandas, NumPy
Model Deployment: Docker, Kubernetes
Cloud Platforms: AWS, Azure, Google Cloud
Version Control: Git, GitHub, GitLab
CI/CD Tools: Jenkins, Travis CI

Experience Needed:
Minimum of 3-5 years of experience in AI and machine learning


Hands-on experience in developing and deploying machine learning models


Experience in building and presenting PoCs to clients


Familiarity with data preprocessing, feature engineering, and model evaluation techniques


Experience in working with large datasets and distributed computing