Job Title:  Assistant Manager | Machine learning, Artificial Intelligence | Hyderabad | TTC - DOMESTIC

Your potential, unleashed.

India’s impact on the global economy has increased at an exponential rate and Deloitte presents an opportunity to unleash and realize your potential amongst cutting edge leaders, and organizations shaping the future of the region, and indeed, the world beyond.

At Deloitte, your whole self to work, every day. Combine that with our drive to propel with purpose and you have the perfect playground to collaborate, innovate, grow, and make an impact that matters.

What impact will you make?

Every day, your work will make an impact that matters, while you thrive in a dynamic culture of

inclusion, collaboration, and high performance. As the undisputed leader in professional services,

Deloitte is where you’ll find unrivalled opportunities to succeed and realize your full potential.

Deloitte is where you’ll find unrivalled opportunities to succeed and realize your full

potential.

Work you’ll do

Deloitte has institutionalized a new AI and Analytics capability for Tax Technology Consulting, this group is a part of the Deloitte South Asia Tax & Legal function and focuses to embed AI in everything we do, for our clients and for ourselves across all business of Deloitte. You will be engaged in internal projects to disrupt the way we operate and focus on building assets and solutions for our clients, including the latest technologies and methods around predictive models, prescriptive analytics, generative AI etc.

We are looking for a highly skilled data scientist to join our dynamic team. The ideal candidate will have a solid background in artificial intelligence and machine learning, with hands-on experience in frameworks such as TensorFlow, PyTorch, scikit-learn, etc. The candidate should possess a deep understanding of data structures, algorithms, and distributed computing. Additionally, experience in deploying machine learning models in production environments, working with various database systems, and familiarity with version control, containerization, and cloud platforms are essential for success in this role. Also, candidates with great storyboarding skills and a penchant to convert AI driven mathematical insights to stories will be given preference.

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.

Desired Qualifications:

·       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.