Amantya Technologies

The ideal candidate will have a solid foundation in software engineering, AI/ML technologies, and software development processes. The Candidate will be responsible for guiding a team of 4-5 AI developers, ensuring the delivery of robust AI solutions while maintaining high standards in architecture, coding practices, and project execution.Required AI/ML Skills : Generative AI (GenAI) : - Experience with Large Language Models (LLMs) like GPT, BERT, or LLaMA.- Familiarity with fine-tuning LLMs and integrating them into enterprise applications and Databases.- Knowledge of text generation, summarization, translation, and conversational AI.Traditional Machine Learning : - Proficiency in ML techniques like supervised learning, unsupervised learning, and reinforcement learning.- Hands-on experience with classification, regression, clustering, and time-series forecasting.AI Frameworks and Tools : - Proficient in frameworks such as TensorFlow, PyTorch, Hugging Face Transformers, scikit-learn, and Keras.- Familiarity with ML pipelines using tools like MLflow, Kubeflow, or TensorFlow Extended (TFX).Deployment : - Knowledge of containerization (Docker, Kubernetes) and serverless architectures for scalable AI solutions.Required Software Engineering Skills : Programming Languages : - Strong proficiency in Python (preferred), Java, or Go for AI application development.- Experience with API development frameworks such as FastAPI, Django, or Flask.Architectural Concepts : - Deep understanding of microservices architecture, event-driven design, and RESTful APIs.- Knowledge of distributed systems and high-performance computing.Soft Skills : Communication and Presentation : - Excellent verbal and written communication skills, with the ability to simplify complex technical concepts for diverse audiences.- Strong presentation skills to effectively convey architectural designs and project updates to customers and stakeholders.Team Collaboration : - Proven experience in leading and mentoring technical teams, fostering collaboration, and encouraging continuous learning.- Ability to work effectively across cross-functional teams including data engineers, product managers, and QA engineers.Key Responsibilities : Technical Leadership : - Lead, mentor, and guide a team of AI developers.- Ensure adherence to best practices in software engineering, AI model development, and deployment.- Review and approve architectural designs, ensuring scalability, performance, and security.AI Application Development : - Architect and design AI solutions that integrate both Generative AI (GenAI) and traditional Machine Learning (ML) models.- Oversee the end-to-end development lifecycle of AI applications, from problem definition to deployment and maintenance.- Optimize model performance, ensure model explainability, and address model drift issues.Architectural Oversight : - Develop and present the big-picture architecture of AI applications, including data flow, model integration, and user interaction.- Dive deep into individual components, such as data ingestion, feature engineering, model training, and API development.- Ensure the AI solutions align with enterprise architectural standards and customer requirements.Customer Engagement : - Act as the primary technical interface for customer meetings, providing clear explanations of the AI solutions architecture, design decisions, and project progress.- Collaborate with stakeholders to understand business needs and translate them into technical requirements.- Ensure proper documentation, including design documents, code reviews, and testing protocols.- Monitor project timelines and deliverables, ensuring high-quality outcomes.Qualifications : - Bachelors or Masters degree in Computer Science, AI/ML, Data Science, or related field.- 6-9 years of experience in developing and deploying AI applications.- Proven track record of delivering scalable AI solutions in an enterprise setting. (ref:hirist.tech)