AI/ML Engineer

Pinakeedigitaltechnology; Bengaluru; On-site; INR 800,000 - 1,200,000; Full time

Job summary

Pinakeedigitaltechnology is seeking an experienced AI Engineer in Bengaluru, India, who has strong knowledge of AI methodologies and hands-on experience with generative models and machine learning.

The candidate will design, implement, and optimize AI architectures while collaborating with cross-functional teams to ensure the integration of AI models into production environments. Proficiency in programming languages like Python and familiarity with cloud platforms such as AWS or Azure is essential.

Qualifications

• Experience in generative models, machine learning, reinforcement learning, and natural language processing.
• Strong hands-on experience in end-to-end AI/ML engineering.
• Ability to collaborate with cross-functional teams and manage datasets.

Responsibilities

• Implement and optimize AI architectures and models.
• Build Agentic AI solutions using LLMs.
• Ensure data quality and integrity for model training.

Skills

Strong knowledge of AI methodologies

Design and optimization of generative AI architectures

Cloud-based platforms (AWS, Azure, GCP)

Proficiency in Python, .Net or Java

Tools

TensorFlow

PyTorch

Keras

Job description

• Strong knowledge of AI methodologies, including generative models, machine learning (ML), reinforcement learning, and natural language processing (NLP).
• Design, implement, and optimize generative AI architectures and models.
• Build Agentic AI solutions using LLMs, including tool/function calling, Model Context Protocol (MCP), memory, workflows, and orchestration.
• Collaborate with data scientists and analysts to collect, preprocess, and manage large datasets, ensuring data quality and integrity for model training.
• Collaborate with cross-functional teams to integrate AI models into production environments, ensuring seamless deployment and operational efficiency.
• Experience of cloud-based platforms (e.g., AWS, Azure, GCP) to develop and deploy scalable AI solutions, ensuring high availability and performance.
• Strong hands-on experience in end-to-end AI/ML engineering, including data preprocessing, feature engineering, model training, evaluation, and optimization for production use cases.
• Proficiency in programming languages such as Python, .Net or Java, with experience in relevant libraries and frameworks (e.g., TensorFlow, PyTorch, Keras).