Senior AI/ML Engineer

Your Tasks would include : Client Engagement: Engage with clients to understand their pain points and requirements. Communicate solutions/propositions effectively back to client/team. Data analysis and pre-processing: Collect and clean large datasets for machine learning projects. Explore data to identify patterns, anomalies, and potential insights. Pre-process data, including feature engineering and normalization. Algorithm Development: Design, develop, and implement machine learning algorithms. Experience with various machine learning models and techniques. Optimize algorithms for accuracy, efficiency, and scalability. Model Training and Evaluation: Train machine learning models using collected data. Perform testing to validate models. Evaluate model performance using appropriate metrics and techniques. Fine-tune models to improve predictive accuracy. Data Visualization: Create informative data visualizations to communicate insights effectively. Work with visualization libraries like Matplotlib, Seaborn, or data visualization software s like Tableau and Power BI.

Desired Candidate Profile

You're a Natural Problem Solver: Collaboration is at the core of our culture, and we're seeking someone who excels in teamwork and brings out the best in their colleagues. You'll be a brilliant listener, promoting a culture of innovation and knowledge sharing. At Deloitte, we believe in giving our AI/ML Engineers the autonomy they need to excel while upholding our high standards, integrity, and culture. Essentials: Bachelor s degree in computer engineering or equivalent 3-7 years of experience in Data Science and AI/ML Technical Expertise: Mastery in AI and ML algorithms, frameworks (e.g., TensorFlow, PyTorch), and libraries. Data proficiency: Proficient in data collection, pre-processing, and analysis. Model Mastery: Proven experience in developing and fine-tuning machine learning models. Desirables : Familiarity with deploying ML frameworks in industry. A strong interest in staying abreast of the latest AI/ML advancements. Project Leadership: Previous experience leading AI/ML initiatives.