AI Engineer

23 hours ago

Bengaluru, Karnataka, India Weekday AI Full time ₹ 6,00,000 - ₹ 8,00,000 per year

This role is for one of the Weekday's clients

Salary range: Rs Rs ie INR 6-8 LPA)

Min Experience: 0 years

Location: Bangalore

JobType: full-time

We are looking for a passionate and motivated AI Engineer to join our growing team. This role is ideal for individuals who are eager to build a career in artificial intelligence and machine learning. You will work closely with data scientists, engineers, and product teams to design, develop, and deploy AI-driven solutions that power intelligent products and business applications.

You will contribute to projects across various AI domains — including natural language processing (NLP), computer vision, recommendation systems, and predictive analytics — while continuously learning and applying state-of-the-art algorithms and tools.

Requirements
Key Responsibilities
  • AI Model Development:

    Design, implement, and train machine learning and deep learning models to solve business problems across different use cases.
  • Data Preparation & Feature Engineering:

    Work with large and diverse datasets to collect, clean, preprocess, and transform data for model training and evaluation.
  • Algorithm Optimization:

    Experiment with different algorithms, hyperparameters, and architectures to improve model performance and efficiency.
  • Model Deployment & Integration:

    Collaborate with backend and DevOps teams to deploy AI models into production using frameworks like TensorFlow Serving, PyTorch, ONNX, or Docker.
  • Research & Innovation:

    Stay up to date with advancements in AI research and tools. Apply innovative techniques from recent papers, open-source projects, or frameworks to improve business processes.
  • Cross-Functional Collaboration:

    Work with product managers and software engineers to understand business requirements and translate them into technical solutions.
  • Performance Monitoring:

    Evaluate models on real-world data, monitor drift, and continuously fine-tune and retrain models to maintain accuracy and reliability.
Required Skills & Qualifications
  • Bachelor's or Master's degree in Computer Science, Data Science, Artificial Intelligence, Mathematics, or related field.
  • 0–3 years of hands-on experience in machine learning, AI development, or data-driven software engineering.
  • Proficiency in programming languages such as Python (preferred) or R, with experience using libraries like NumPy, Pandas, Scikit-learn, TensorFlow, or PyTorch.
  • Strong understanding of machine learning algorithms, neural networks, data preprocessing, and statistical analysis.
  • Experience with model evaluation metrics, data visualization tools (Matplotlib, Seaborn, Power BI), and version control systems like Git.
  • Basic understanding of cloud platforms such as AWS, GCP, or Azure, especially their AI/ML services.
  • Familiarity with APIs, REST frameworks, and data pipelines is a plus.
  • Excellent problem-solving ability, curiosity, and eagerness to learn emerging AI technologies.
Preferred Qualifications
  • Exposure to NLP (transformers, text classification, embeddings) or Computer Vision (CNNs, object detection).
  • Internship or project experience involving AI/ML model deployment or end-to-end data workflows.
  • Knowledge of MLOps tools (e.g., MLflow, Kubeflow) or containerization using Docker.

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