Senior AI Engineer - Machine Learning/Deep Learning Models

We are looking for a highly motivated and passionate Senior AI Engineer who thrives on solving complex problems using cutting-edge AI/ML technologies. In this role, you will design, develop, and deploy scalable AI/ML solutions that directly impact real-world applications. You will collaborate closely with data scientists, software developers, and product managers to bring AI-driven innovation into production environments.

Key Responsibilities :

- Design, build, train, and deploy machine learning (ML) and deep learning (DL) models for production use cases.

- Perform data preprocessing, feature engineering, and exploratory data analysis (EDA) to ensure clean, high-quality input data for models.

- Collaborate with cross-functional teams (Data Science, Development, Product, Business) to identify opportunities where AI can deliver business impact.

- Integrate AI/ML models into production pipelines, APIs, and enterprise applications ensuring scalability, robustness, and performance.

- Evaluate and optimize models for accuracy, efficiency, and cost-effectiveness.

- Keep up-to-date with the latest advancements in AI/ML frameworks, research papers, and tools, and recommend their adoption where relevant.

- Contribute to setting best practices, coding standards, and model governance in the AI/ML team.

Required Skills & Qualifications :

- Strong expertise in Python and experience with major ML/DL frameworks TensorFlow, PyTorch, Scikit-learn.

- Proficiency with data handling & manipulation libraries Pandas, NumPy.

- Solid understanding of data structures, algorithms, and problem-solving techniques.

- Minimum 3+ years of hands-on experience in designing and deploying AI/ML solutions.

- Knowledge or project experience in at least one specialized area such as :

1. Natural Language Processing (NLP)

2. Computer Vision

3. Recommendation Systems

- Strong analytical skills and ability to convert business requirements into technical AI solutions.

- Bachelors or Masters degree in Computer Science, Data Science, Artificial Intelligence, or related field.

Good to Have (Optional Skills) :

- Experience with MLOps tools (MLflow, Kubeflow, Airflow, Docker, Kubernetes).

- Familiarity with cloud platforms (AWS, GCP, Azure) and their AI/ML services.

- Contributions to open-source projects, publications, or Kaggle competitions.