Machine Learning Engineer

About Company

BDO India LLP (or BDO India) is the India member firm of BDO International. BDO India offers strategic, operational, accounting and tax & regulatory advisory & assistance for both domestic and international organisations across a range of industries. BDO India is led by more than 300 Partners & Directors with a team of over 7000 professionals operating across 12 cities.We expect to grow sizably in the coming 3-5 years, adding various dimensions to our business and multiplying the increasing the current team size multi-fold.

About Technology Services

In the world of business today, the words ‘disrupt, innovate, and transform’ have become daily goals. For companies to gain recognition, digital transformation is key. It increases profitability & retention, enhances governance, controls & compliance, and overall organization growth. However, most companies struggle to meet their digital transformation goals.

At BDO in India, we assist clients in their digital transformation journey, enabling them to realign the way they do business and create more value. Leveraging our deep industry knowledge and extensive experience, our industry experts provide a holistic approach to clients looking for a successful digital transformation. Whether the focus is on automating tax compliance, enhancing customer interaction, increasing profitability through operational excellence, or improving employee experience and retention, we apply a proven framework and methodology that includes professionals with knowledge and experience.

Responsibilities

• Study and transform data science prototypes
• Design machine learning systems
• Research and implement appropriate ML algorithms and tools
• Develop machine learning applications according to requirements
• Select appropriate datasets and data representation methods
• Run machine learning tests and experiments
• Perform statistical analysis and fine-tuning using test results
• Train and retrain systems when necessary
• Extend existing ML libraries and frameworks
• Keep abreast of developments in the field

Requirements and skills

• Proven experience as a Machine Learning Engineer or similar role
• Understanding of data structures, data modelling and software architecture
• Deep knowledge of math, probability, statistics and algorithms
• Ability to write robust code in Python
• Familiarity with LLM models & ChatGPT must have skills.
• Familiarity with machine learning frameworks (like Keras or PyTorch) and libraries (like scikit-learn)
• Excellent communication skills
• Demonstrable expertise in the area of Machine Learning, Deep Learning, Image Processing, NLP, and predictive & forecasting models.
• Good understanding or experience of working with Azure ML.
• Strong experience with advanced SQL and good to have experience in Pyspark. Good understanding or experience of working in Azure cloud platform.
• Extensive hands-on big data preferably Hadoop, Spark, and NoSQL
• You are well versed with Python Data Analysis Stack like Pandas, Numpy and Scikit-learn.
• Curiosity to learn and implement latest developments in the field of AI.
• Developing algorithms and complex statistical models on large volumes of data. Own the MLOps life cycle, from data monitoring to refactoring data science code to building robust model monitoring workflows for model lifecycle management.
• Highly self-motivated with the ability to work independently, passionate about business & attention to details.