Job Title:Senior AI Solutions - Vice President - Data & Analytics Engineering
Experience: 15years
Location: Mumbai & Bangalore
Roles and Responsibilities:
Responsibilities
-
Design and develop state-of-the-art GenAI and general AI solutions as well as multiagent systems to solve complex business problems.
-
Integrate knowledge graph LLMs and multiagent systems
-
Leverage NLP techniques to enhance applications in language understanding generation and other data-driven tasks.
-
Lead the design and architecture of scalable efficient and high-performance data systems that support processing of massive datasets of structured and unstructured data.
-
Use machine learning frameworks and tools to train fine-tune and optimise models. Implement the best practices for model evaluation validation and scalability
-
Stay up to date with the latest trends in AI NLP LLMs and big data technologies. Contribute to the development and implementation of new techniques that improve performance and innovation.
-
Collaborate with cross-functional teams including engineers product owners and other stakeholders to deploy AI models into production systems and deliver value to the business.
-
Leverage a strong problem-solving mindset to identify issues propose solutions and conduct research to enhance the efficiency of AI and machine learning algorithms.
-
Communicate complex model results and actionable insights to stakeholders though compelling visualizations and narratives.
What youll bring to the role:
-
B.E or Masters or PhD in Computer Science Mathematics Engineering Statistics or a related field
-
Proven experience building and deploying to production GenAI models with demonstrable business value realization
-
12 years of total working experience.
-
At least 8 years relevant experience would generally be expected to find the skills required for this role
-
8 years experience in traditional AI methodologies including deep learning supervised and unsupervised learning and various NLP techniques (e.g tokenization named entity recognition text classification sentiment analysis etc.)
-
Strong proficiency in Python with deep experience using frameworks like Pandas PySpark TensorFlow XGBoost
Interested can contact OR email resume to
Required Skills:
Data ScienceAIPythonAIMLData & Analytics EngineeringAI SolutionsPandaspytorchPySparkTensorFlowXGBoostGenerative AIGenAINatural Language Processing (NLP)LLMsAI methodologies
Job Title:Senior AI Solutions - Vice President - Data & Analytics Engineering Experience: 15years Location: Mumbai & Bangalore Roles and Responsibilities: Responsibilities Design and develop state-of-the-art GenAI and general AI solutions as well as multiagent systems to solve complex business pro...
Job Title:Senior AI Solutions - Vice President - Data & Analytics Engineering
Experience: 15years
Location: Mumbai & Bangalore
Roles and Responsibilities:
Responsibilities
-
Design and develop state-of-the-art GenAI and general AI solutions as well as multiagent systems to solve complex business problems.
-
Integrate knowledge graph LLMs and multiagent systems
-
Leverage NLP techniques to enhance applications in language understanding generation and other data-driven tasks.
-
Lead the design and architecture of scalable efficient and high-performance data systems that support processing of massive datasets of structured and unstructured data.
-
Use machine learning frameworks and tools to train fine-tune and optimise models. Implement the best practices for model evaluation validation and scalability
-
Stay up to date with the latest trends in AI NLP LLMs and big data technologies. Contribute to the development and implementation of new techniques that improve performance and innovation.
-
Collaborate with cross-functional teams including engineers product owners and other stakeholders to deploy AI models into production systems and deliver value to the business.
-
Leverage a strong problem-solving mindset to identify issues propose solutions and conduct research to enhance the efficiency of AI and machine learning algorithms.
-
Communicate complex model results and actionable insights to stakeholders though compelling visualizations and narratives.
What youll bring to the role:
-
B.E or Masters or PhD in Computer Science Mathematics Engineering Statistics or a related field
-
Proven experience building and deploying to production GenAI models with demonstrable business value realization
-
12 years of total working experience.
-
At least 8 years relevant experience would generally be expected to find the skills required for this role
-
8 years experience in traditional AI methodologies including deep learning supervised and unsupervised learning and various NLP techniques (e.g tokenization named entity recognition text classification sentiment analysis etc.)
-
Strong proficiency in Python with deep experience using frameworks like Pandas PySpark TensorFlow XGBoost
Interested can contact OR email resume to
Required Skills:
Data ScienceAIPythonAIMLData & Analytics EngineeringAI SolutionsPandaspytorchPySparkTensorFlowXGBoostGenerative AIGenAINatural Language Processing (NLP)LLMsAI methodologies
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