Executive | Machine learning, Artificial Intelligence | Bengaluru | TTC - DOMESTIC
- Job requisition ID : 103338
- Location: Bengaluru
- Entity: Deloitte Touche Tohmatsu India LLP
Job Title: Data Science C/SC/M
Location: Hyderabad / Kolkata / Bengaluru
Job Type: Full-time
Experience: 2-8 years in AI and Machine Learning
Responsibilities:
- Collaborate with cross-functional teams to translate business requirements into actual implementation of models, algorithms, and technologies.
- Execute the product road map and planning of the programs and initiatives as defined by the product owners.
- Independently solve complex business problems with minimal supervision, while escalating more complex issues to appropriate next level.
- Develop and maintain software programs, algorithms, dashboards, information tools, and queries to clean, model, integrate and evaluate data sets.
- Build and optimize pipelines for data intake, validation, and mining as well as modelling and visualization by applying best practices to the engineering of large data sets.
- Develop and implement advanced machine learning algorithms and models for various applications.
- Apply the latest advances in deep learning, machine learning and natural language processing to improve performance of legacy models.
- Customize latest available large language models to develop generative AI solutions for multiple business problems across multiple functional areas.
- Apply A/B testing framework and test model quality.
- Experience in taking the models to Production using Cloud Technologies
- Provide findings and analysis to take informed business decisions.
- Stay updated with the latest developments in AI/ML technologies and contribute to the continuous improvement of our systems.
Requirements:
- Minimum of 3-7 years of relevant work experience.
- Master's degree in a related field (Statistics, Mathematics or Computer Science) or MBA in Data Science/AI/Analytics
- Experience with database systems such as MySQL, PostgreSQL, or MongoDB.
- Experience in collecting and manipulating structured and unstructured data from multiple data systems (on-premises, cloud-based data sources, APIs, etc)
- Familiarity with version control systems, preferably Git.
- Familiarity with cloud platforms such as AWS, Azure, or Google Cloud.
- Solid understanding of data structures, algorithms, and distributed computing.
- Excellent knowledge of Jupyter Notebooks for experimentation and prototyping.
- Strong programming skills in Python.
- In-depth understanding of machine learning, deep learning & natural language processing (NLP) algorithms.
- Experience with popular machine learning frameworks such as TensorFlow, PyTorch, or scikit-learn.
- Knowledge of containerization tools such as Docker.
- Experience in deploying machine learning models in production environments.
- Excellent problem-solving and communication skills.
- Proficient in using data visualization tools such as Tableau or Matplotlib, or dashboarding packages like Flask, Streamlit.
- Good working knowledge of MS PowerPoint and storyboarding skills to translate mathematical results to business insights.
