Responsibilities :
- Design, train, and fine-tune machine learning models for predictive analytics, natural language processing, computer vision, or other AI applications.
- Deploy ML models in production environments and monitor their performance to ensure scalability and reliability.
- Collect, clean, and preprocess large datasets to build high-quality AI / ML models.
- Perform exploratory data analysis (EDA) to uncover insights and identify patterns for business solutions.
- Research and implement state-of-the-art algorithms and techniques to improve model accuracy and efficiency.
- Optimize model performance for real-time applications and large-scale data processing.
- Collaborate with software developers and product teams to integrate AI / ML solutions into applications and services.
- Design APIs and pipelines for seamless integration of AI models into existing systems.
- Stay updated with the latest trends and advancements in AI / ML technology.
- Experiment with emerging tools, frameworks, and methodologies to improve workflows and model performance.
- Work closely with data scientists, engineers, and stakeholders to understand business requirements and deliver AI solutions that meet organizational goals.
- Communicate technical concepts and insights effectively to non-technical stakeholders.
Skills and Qualifications :
Strong programming skills in Python, R, or Java.Experience with machine learning frameworks and libraries (e.g., TensorFlow, PyTorch, Scikit-learn).Knowledge of big data tools (e.g., Hadoop, Spark) and cloud platforms (e.g., AWS, GCP, Azure).Proficiency in supervised and unsupervised learning techniques, deep learning, and reinforcement learning.Familiarity with natural language processing (NLP) and computer vision technologies.Strong mathematical foundation in linear algebra, statistics, and probability.Ability to translate business problems into AI-driven solutions.Excellent teamwork and project management skills.Strong ability to present complex ideas and findings clearly and concisely.Experience with MLOps tools and workflows for model deployment and lifecycle management.Understanding of ethical AI principles and responsible AI practices.EA Reg No : 20C0312)
Only shortlisted candidates will be notified.