AI / ML Solutions Architect_Consulting

About Our Client : A leading IT and data solutions provider offering services in consulting, systems integration, data science, IoT, and business process outsourcing. The company enables organizations to enhance efficiency, solve complex challenges, and drive digital transformation.

Job Description : Data Science & AI Lead

Location : Bengaluru

Experience : 7+ Years

Qualification : B.Tech / M.Tech or equivalent in CS, Data Science, or related domain

About the role : Responsible for designing and implementing data-driven solutions that leverage advanced analytics, machine learning, and artificial intelligence techniques. You will collaborate with cross-functional teams to understand business requirements, identify data sources, and develop scalable and robust data science architectures.

Responsibilities :

Develop and manage the strategic data science and AI roadmap in alignment with the company's goals and objectives

Lead a team of data scientists, machine learning engineers, and AI / ML specialists

Oversee the design, development, and deployment of data science and AI / ML models and applications

Collaborate with cross-functional teams (business, IT, product) to identify and prioritize data-driven initiatives

Define and implement robust data governance, quality, and security practices

Ensure the scalability, reliability, and performance of data science and AI / ML solutions

Analyze and interpret complex data to uncover insights and recommend data-driven strategies

Communicate findings, insights, and recommendations to stakeholders at all levels

Stay informed about 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 at least 3 years in a leadership role

Proven track record of successfully delivering data-driven projects and solutions

Proficient in statistical analysis, data mining, and machine learning techniques

Hands-on experience with programming languages (e.g., Python, R, SQL) and data science / AI tools (e.g., 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 natural language processing (NLP), computer vision, or other specialized AI domains

Experience in product development, project management, or business consulting

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