On-Site
Full-Time
Noida, Uttar Pradesh
India
About the Role
Role: AI Engineer
Location: Noida
Mode: WFO (5 Days)
Experience: 3.5 – 8 years in AI/ML
Mandatory: Experience working with overseas / international stakeholders
Salary: 20 - 26 Lacs
Email: [email protected]
Responsibilities:
· Design and develop AI solutions that address real-world business challenges, ensuring alignment with strategic objectives and measurable outcomes.
· Work with large-scale structured and unstructured datasets, leveraging modern data frameworks, tools, and platforms.
· Establish and maintain robust standards for data security, privacy, and regulatory compliance across all AI and data workflows.
· Collaborate closely with cross-functional teams to gather requirements, share insights, and deliver high-impact solutions.
· Monitor and maintain production AI systems to ensure continued accuracy, scalability, and reliability over time.
· Stay up to date with the latest advancements in AI, machine learning, and data engineering, and apply them where relevant.
· Write clean, well-documented, and maintainable code, and actively contribute to team best practices and technical documentation.
Skillset requirements:
· Strong programming skills in Python (preferred) and experience with AI/ML libraries such as TensorFlow, PyTorch, scikit-learn, or Hugging Face
· Experience designing and deploying machine learning models and AI systems in production environments
· Familiarity with modern data platforms and cloud services (e.g., Azure, AWS, GCP), including AutoML and MLflow
· Proficiency with data processing tools and frameworks (e.g., Spark, Pandas, SQL) and working with both structured and unstructured data
· Experience with Generative AI technologies, including prompt engineering, vector databases, and RAG (Retrieval-Augmented Generation) pipelines
· Solid understanding of data security, privacy, and compliance principles, with experience implementing these in real-world projects
· Strong problem-solving skills and ability to translate complex business problems into technical solutions
· Excellent communication and collaboration skills, with the ability to work effectively across technical and non-technical teams
· Experience with version control (e.g., Git) and agile development practices
· Enthusiasm for learning and applying emerging technologies in AI and machine learning
Location: Noida
Mode: WFO (5 Days)
Experience: 3.5 – 8 years in AI/ML
Mandatory: Experience working with overseas / international stakeholders
Salary: 20 - 26 Lacs
Email: [email protected]
Responsibilities:
· Design and develop AI solutions that address real-world business challenges, ensuring alignment with strategic objectives and measurable outcomes.
· Work with large-scale structured and unstructured datasets, leveraging modern data frameworks, tools, and platforms.
· Establish and maintain robust standards for data security, privacy, and regulatory compliance across all AI and data workflows.
· Collaborate closely with cross-functional teams to gather requirements, share insights, and deliver high-impact solutions.
· Monitor and maintain production AI systems to ensure continued accuracy, scalability, and reliability over time.
· Stay up to date with the latest advancements in AI, machine learning, and data engineering, and apply them where relevant.
· Write clean, well-documented, and maintainable code, and actively contribute to team best practices and technical documentation.
Skillset requirements:
· Strong programming skills in Python (preferred) and experience with AI/ML libraries such as TensorFlow, PyTorch, scikit-learn, or Hugging Face
· Experience designing and deploying machine learning models and AI systems in production environments
· Familiarity with modern data platforms and cloud services (e.g., Azure, AWS, GCP), including AutoML and MLflow
· Proficiency with data processing tools and frameworks (e.g., Spark, Pandas, SQL) and working with both structured and unstructured data
· Experience with Generative AI technologies, including prompt engineering, vector databases, and RAG (Retrieval-Augmented Generation) pipelines
· Solid understanding of data security, privacy, and compliance principles, with experience implementing these in real-world projects
· Strong problem-solving skills and ability to translate complex business problems into technical solutions
· Excellent communication and collaboration skills, with the ability to work effectively across technical and non-technical teams
· Experience with version control (e.g., Git) and agile development practices
· Enthusiasm for learning and applying emerging technologies in AI and machine learning