We are looking for a visionary AI/ML Solution Architect with strong hands-on expertise in designing, developing, and deploying AI/ML solutions. The ideal candidate will bridge the gap between business and technology teams, architecting scalable and efficient AI/ML platforms across various industries.
Key Responsibilities
Lead the collaborative development of a Technology strategy, technology architecture and technology roadmap(s) that matches corporate strategy and/or goals.
Collaborate with stakeholders to define project requirements and technical specifications.
Lead end-to-end solution architecture for AI/ML initiatives across domains such as healthcare, finance, eCommerce, and logistics.
Analyze business problems, identify AI/ML opportunities, and create high-level architectural designs.
Build scalable machine learning pipelines, from data ingestion to model training and deployment.
Collaborate with stakeholders to define project requirements and technical specifications.
Design, develop, and implement end-to-end solutions that meet business requirements and align with industry standards.
Guide teams in model selection (e.g., supervised/unsupervised, NLP, vision, deep learning).
Implement MLOps best practices using tools like MLflow, Kubeflow, or SageMaker.
Drive data governance, model explainability, bias detection, and ethical AI standards.
Mentor and lead a team of AI-ML engineers, and developers.
Ensure high-quality architecture and design documentation, including design patterns, best practices, and technical standards.
Design and develop software solutions that meet the requirements of our clients using Microsoft technologies, java and Python etc.
Prepare architecture diagrams, technical documentation, and proof-of-concepts (POCs)
Stay up-to-date with emerging trends and technologies in software development and architecture which should be incorporated into SoftProdigy s policies & roadmap
Required Skills and Qualifications
10+ years of experience in software development with 5+ years in AI/ML solution architecture.
Strong programming skills in Python, R, or Java; experience with ML libraries (TensorFlow, PyTorch, Scikit-learn).
Experience with cloud platforms (AWS, Azure, GCP) and related ML services.
Proficiency in designing RESTful APIs and deploying models in containers (Docker, Kubernetes).
Deep understanding of AI/ML algorithms, statistics, data preprocessing, and feature engineering.
Hands-on experience with data pipelines (Airflow, Spark, Kafka, etc.).
Experience in NLP, Computer Vision, Recommendation Systems, or Time Series Forecasting.
Bachelor s or Master s in Computer Science, Data Science, or a related field (PhD preferred).
Preferred Qualifications
Certifications in AI/ML (AWS/Azure/GCP Machine Learning Specialty).
Experience with enterprise-scale projects, microservices, and scalable architecture.
Familiarity with GenAI, LLMs, or prompt engineering.
Exposure to Agile/Scrum environments.
Personal Attributes
Superior written and oral communication and listening skills.
Strong interpersonal and consultative skills.
Ability to conduct research into emerging technologies and trends, standards, and products as required.
High level of professionalism, integrity and commitment to quality
Ability to effectively prioritize and execute tasks in a high-pressure environment.
Ability to break up complex architecture designs into phased approaches.
Experience working in a team-oriented, collaborative environment.
Job Classification
Industry: IT Services & ConsultingFunctional Area / Department: Engineering - Software & QARole Category: Software DevelopmentRole: Solution ArchitectEmployement Type: Full time