<p><p><b>Key Responsibilities : </b><br/><br/></p><p>- Solution Design : Collaborate with cross-functional teams to define AI use cases, gather requirements, and architect end-to-end AI solutions that align with business goals.<br/><br/></p><p>- Algorithm Development : Develop and implement machine learning and deep learning algorithms, models, and frameworks to solve intricate problems and enhance system capabilities.<br/><br/></p><p>- Data Processing : Oversee data collection, preprocessing, and feature engineering to ensure high-quality input for AI models.<br/><br/></p><p>- Model Training and Evaluation : Train and fine-tune machine learning models using large datasets and rigorously evaluate model performance using appropriate metrics.<br/><br/></p><p>- Infrastructure and Tools : Design the AI infrastructure, choose suitable frameworks, libraries, and tools, and ensure scalability, reliability, and efficiency of AI systems.<br/><br/></p><p>- Prototyping and POCs : Build rapid prototypes and proof of concepts (POCs) to demonstrate the feasibility and potential of AI solutions.<br/><br/></p><p>- Technical Leadership : Provide technical guidance, mentorship, and support to AI development teams, fostering a culture of innovation and collaboration.<br/><br/></p><p>- Research and Innovation : Stay abreast of AI trends, emerging technologies, and best practices, and contribute to the company's AI strategy by proposing innovative solutions.<br/><br/></p><p>- Deployment and Integration : Lead the deployment of AI solutions into production environments, integrating them with existing systems and workflows.<br/><br/></p><p>- Performance Optimization : Continuously optimize AI solutions for speed, efficiency, and accuracy, and address any bottlenecks or issues.<br/><br/></p><p>- Documentation : Create comprehensive technical documentation, including design specifications, architecture diagrams, and code and Requirements : </b></p><p><br/></p>- Bachelor's or masters degree in computer science, Engineering, or a related field.
A Ph.D. in AI or Machine Learning is a plus.<br/><br/></p><p>- Proven experience as an AI Engineer, Machine Learning Engineer, or AI Architect, with a track record of successful AI solution design and implementation.<br/><br/></p><p>- Streamlit - Python<br/><br/></p><p>- Generative AI<br/><br/></p><p>- HuggingFace , OpenAi and any Custom Model development experience<br/><br/></p><p>- Strong programming skills in languages such as Python, Java, or C++, and proficiency in AI libraries and frameworks (TensorFlow, PyTorch, scikit-learn, etc.).<br/><br/></p><p>- In-depth knowledge of machine learning techniques, algorithms, and model evaluation.<br/><br/></p><p>- Familiarity with big data technologies, cloud platforms, and distributed computing.<br/><br/></p><p>- Excellent problem-solving abilities and analytical thinking.<br/><br/></p><p>- Effective communication skills to collaborate with cross-functional teams and present technical concepts to both technical and non-technical stakeholders.<br/><br/></p><p>- Demonstrated ability to lead technical projects, drive innovation, and mentor junior team members.</p><br/></p> (ref:hirist.tech)