Solution Architect

Key Responsibilities:

• Technical Strategy & Roadmap: Define and execute comprehensive ML/AI strategy aligned with business objectives, including LLM infrastructure, retrieval pipelines, and generative workflows
• Architecture Oversight: Lead system architecture decisions for scalable ML platforms,ensuring robust model deployment and operational excellence
• Cross-functional Collaboration: Partner closely with product management, engineering, and business stakeholders to translate requirements into technical solutions
• Model Development: Actively participate in designing, training, and optimizing machine learning models, maintaining technical currency with 20-30% hands-on contribution
• Code Reviews & Technical Guidance: Conduct thorough code reviews and provide technical mentorship to ensure engineering excellence across the team
• Team Building: Recruit, hire, and develop top-tier ML engineers, data scientists, and researchers while fostering a culture of innovation and continuous learning
• Mentorship: Guide team members through complex technical challenges, career development, and best practices in ML engineering

Required Skills:

• Programming Proficiency: Expert-level skills in Python, R, with deep knowledge of ML frameworks
• (TensorFlow, PyTorch, Scikit-learn, Pandas, NumPy)
• Machine Learning: Extensive experience with statistical modeling, deep learning, NLP, computer
• vision, and generative AI technologies
• Infrastructure & Deployment: Hands-on experience with cloud platforms (AWS, Azure, GCP),
• containerization (Docker, Kubernetes), and ML pipeline orchestration
• Data Engineering: Strong understanding of data architectures, feature engineering, and big data
• technologies (Spark, Hadoop, Kafka)
• Programming Proficiency: Expert-level skills in Python, R, with deep knowledge of ML frameworks
• (TensorFlow, PyTorch, Scikit-learn, Pandas, NumPy)
• Leadership Skills: Strong leadership abilities to guide technical teams and communicate effectively with
• non-technical stakeholders.
• Problem-Solving Abilities: Excellent analytical skills to address complex technical challenges and devise
• innovative solutions.
• Background in building and scaling ML platforms in high-growth technology companies