Artificial Intelligence Engineer

AI Engineer

Noida

WFO (5 Days)

3.5 – 8 years in AI/ML

Experience working with overseas / international stakeholders

20 - 26 Lacs

careers@peoplekonnect.co.in

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