AI Architect

Job Title: AI ArchitectLocation: [Pune, Onsite] Experience: 6+ Years Employment Type: Full-TimeWorking requirements:Engagement Commitment: 3 months to start with to ensure that the engagement is progressing well.Deliverable: Minimum Viable Product is already there, enhancement is requiredWorking Hours Preferable: California Time (which is ~12 hours behind IST), requesting this because then it will be easier to huddle and both US and India team can work simultaneouslyAbout the Role:We are seeking an experienced and visionary AI Architect to lead the design, development, and deployment of cutting-edge AI/ML solutions. The ideal candidate will have a strong foundation in artificial intelligence, machine learning, data engineering, and cloud technologies, with the ability to architect scalable and high-performing systems.Key Responsibilities:Design and implement end-to-end AI/ML architectures for large-scale enterprise applications.Lead AI strategy, frameworks, and roadmaps in collaboration with product and engineering teams.Guide the development of machine learning models (e.g., NLP, Computer Vision, Predictive Analytics).Define best practices for model training, validation, deployment, monitoring, and versioning.Collaborate with data engineers to build and maintain robust data pipelines.Choose the right AI tools, libraries, and platforms based on project needs (e.g., TensorFlow, PyTorch, Hugging Face).Work with cloud platforms (AWS, Azure, GCP) to deploy and manage AI models and services.Ensure AI/ML solutions comply with data privacy, governance, and ethical standards.Mentor junior AI engineers and data scientists.Required Skills & Qualifications:Bachelor's or Master’s degree in Computer Science, Data Science, AI/ML, or a related field.6+ years of experience in AI/ML, with at least 2+ years in an architecture or lead role.Strong experience with AI/ML frameworks: TensorFlow, PyTorch, Scikit-learn, etc.Deep understanding of LLMs, transformers, GPT models, and fine-tuning techniques.Proficiency in Python and data processing libraries (Pandas, NumPy, etc.).Experience with cloud-based AI services (AWS SageMaker, Azure ML, Vertex AI, etc.).Knowledge of MLOps practices, CI/CD for models, and model monitoring.Familiarity with data lakehouse architecture, real-time inference, and APIs.Strong communication and leadership skills.Preferred Qualifications:Experience with generative AI applications and prompt engineering.Knowledge of reinforcement learning or federated learning.Publications or contributions to open-source AI projects.AI certifications from cloud providers (AWS, Azure, GCP).Why Join Us?Work on transformative AI projects across industries.Collaborate with a passionate and innovative team.Flexible work environment with remote/hybrid options.Continuous learning, upskilling, and growth opportunities.