Data Scientist - Artificial Intelligence/Machine Learning

Job Description

As a seasoned and visionary AI/ML Data Scientist, your role will involve leading the design and implementation of AI/ML infrastructure to deliver robust, scalable, and innovative solutions. Your responsibilities will include:- Designing and implementing end-to-end AI/ML and Generative AI solutions aligned with business and scalability requirements.- Evaluating and selecting data science tools, frameworks, and platforms to build an efficient ecosystem.- Delivering ML and Gen AI solutions within cloud environments, preferably Azure.- Providing hands-on guidance for ML model development to solve complex business problems.- Staying updated on emerging AI/ML technologies for continuous enhancement of data science capabilities.- Collaborating with data scientists, engineers, and business stakeholders to translate requirements into architectural solutions.- Establishing monitoring and governance mechanisms to track model performance and address issues proactively.- Delivering quick POCs and generating insights from diverse and complex datasets.- Offering technical leadership for end-to-end solution development and guiding teams effectively.Qualifications required for this role include:- 8-12 years of experience in designing and developing enterprise-wide data science solutions and scalable architectures.- Bachelors, Masters, or Ph.D. in Computer Science, Data Science, or a related field.Additionally, you should possess the following mandatory skills:- Proven experience as a Data Science Architect or senior AI/ML leader with a track record of delivering enterprise-scale AI/ML/DL/GenAI solutions.- Strong proficiency in programming languages such as Python or R, along with expertise in ML/DL frameworks.- Deep knowledge of machine learning, statistical modeling, and applied data science techniques.- Experience with cloud platforms (Azure, AWS, or GCP) and big data technologies (Hadoop, Spark, etc.).- Strong understanding of MLOps and ML fail-safe principles.- Hands-on experience with project management and agile methodologies (e.g., MS Project).- Strong stakeholder management skills (internal and external).- Strategic thinker with the ability to align technology with business outcomes.- Excellent communication, leadership, and decision-making skills.- Ability to thrive in a dynamic, collaborative, and fast-paced environment. As a seasoned and visionary AI/ML Data Scientist, your role will involve leading the design and implementation of AI/ML infrastructure to deliver robust, scalable, and innovative solutions. Your responsibilities will include:- Designing and implementing end-to-end AI/ML and Generative AI solutions aligned with business and scalability requirements.- Evaluating and selecting data science tools, frameworks, and platforms to build an efficient ecosystem.- Delivering ML and Gen AI solutions within cloud environments, preferably Azure.- Providing hands-on guidance for ML model development to solve complex business problems.- Staying updated on emerging AI/ML technologies for continuous enhancement of data science capabilities.- Collaborating with data scientists, engineers, and business stakeholders to translate requirements into architectural solutions.- Establishing monitoring and governance mechanisms to track model performance and address issues proactively.- Delivering quick POCs and generating insights from diverse and complex datasets.- Offering technical leadership for end-to-end solution development and guiding teams effectively.Qualifications required for this role include:- 8-12 years of experience in designing and developing enterprise-wide data science solutions and scalable architectures.- Bachelors, Masters, or Ph.D. in Computer Science, Data Science, or a related field.Additionally, you should possess the following mandatory skills:- Proven experience as a Data Science Architect or senior AI/ML leader with a track record of delivering enterprise-scale AI/ML/DL/GenAI solutions.- Strong proficiency in programming languages such as Python or R, along with expertise in ML/DL frameworks.- Deep knowledge of machine learning, statistical modeling, and applied data science techniques.- Experience with cloud platforms (Azure, AWS, or GCP) and big data technologies (Hadoop, Spark, etc.).- Strong understanding of MLOps and ML fail-safe principles.- Hands-on experience with project management and agile methodologies (e.g., MS Project).- Strong stakeholder management skills (internal and external).- Strategic thinker with the ability to align technology with business outcomes.- Excellent communication, leadership, and decision-making skills.- Ability to thrive in a dynamic, collaborative, and fast-paced environment.

Keyskills :
PythonMachine LearningStatistical ModelingProject ManagementAgile MethodologiesStakeholder ManagementCommunicationLeadershipData Science ArchitectAIML leaderMLDL frameworksCloud PlatformsBig Data TechnologiesMLOpsML failsafe principles