AI/ML Solutions Architect Consulting

As a Data Science & AI Lead at our client, a leading IT and data solutions provider in Bengaluru, with 7+ years of experience, your role will involve designing and implementing data-driven solutions using advanced analytics, machine learning, and artificial intelligence techniques. You will work closely with cross-functional teams to understand business requirements, identify data sources, and develop scalable data science architectures. **Responsibilities:** - Develop and manage the strategic data science and AI roadmap aligning with company goals - Lead a team of data scientists, machine learning engineers, and AI/ML specialists - Oversee design, development, and deployment of data science and AI/ML models and applications - Collaborate with cross-functional teams to prioritize data-driven initiatives - Define and implement robust data governance, quality, and security practices - Ensure scalability, reliability, and performance of data science and AI/ML solutions - Analyze and interpret complex data to recommend data-driven strategies - Communicate findings, insights, and recommendations to stakeholders - Stay updated on the latest trends, technologies, and best practices in data science and AI - Mentor and develop the data science and AI/ML team members - Continuously improve data science and AI/ML processes and methodologies **Requirements:** - 7+ years of experience in data science, machine learning, or artificial intelligence, with 3+ years in a leadership role - Proven track record of successfully delivering data-driven projects - Proficient in statistical analysis, data mining, and machine learning techniques - Hands-on experience with programming languages (Python, R, SQL) and data science/AI tools (TensorFlow, PyTorch, scikit-learn) - Strong understanding of cloud computing, data engineering, and software development lifecycles - Excellent problem-solving, critical thinking, and decision-making skills - Ability to work in a fast-paced, dynamic environment and adapt to changing priorities - Industry certifications in data science, machine learning, or AI/GenAI (e.g., AWS Certified Data Scientist, Google Cloud Professional Data Engineer) - Familiarity with NLP, computer vision, or other specialized AI domains - Experience in product development, project management, or business consulting,