[Hiring] Junior Level Software Engineer @SynergisticIT

Role Description

As a member of the growing Data Science and Machine Learning (Client) Engineering team in Bain's Advanced Analytics Group, you will:

• Provide technical expertise for end-to-end technical solution delivery on client cases (from solution architecture to hands-on development work)
• Develop statistical/Client models to be handed over to clients as prototype or production software
• Transform existing prototype code into scalable, production-grade software
• Write, test, deploy and maintain machine learning code across the full software development lifecycle
• Collaborate on (or lead) the development of re-usable common frameworks, model and components that can be highly leveraged to address common Client engineering problems across industries and business functions
• Drive best demonstrated practices in software engineering, and share learnings with team members in SynergisticIT about theoretical and technical developments in Client engineering

Qualifications

• 0-3 years of engineering experience
• Proficient knowledge of Python and SQL
• Proficiency in one or more of R, Java, C++, Scala, Django
• Fair understanding of fundamental computer science concepts, particularly data structures, algorithms, automated testing, object-oriented programming, performance complexity, and implications of computer architecture on software performance
• Basic understanding of foundational concepts and algorithms in statistics and machine learning, including NLP, linear/logistic regression, SVM, random forest, boosting, neural networks, dimensionality reduction, reinforcement learning, etc.
• Basic Knowledge of machine learning frameworks and tools (e.g. Pandas, numpy, scikit-learn, TensorFlow, Pytorch, Keras, Huggingface)
• Basic Knowledge of probabilistic programming techniques and associated tools (e.g. Pyro, Stan, Tensorflow Probability, PyMC3), Bayesian inference and MCMC methods

Requirements

• Skills and relevant experience on real-world projects are required by clients for selection, even for junior or entry-level positions.
• Additional skills and project work with hands-on experience building projects at client sites are essential for candidates to be picked by clients.
• If lacking skills or hands-on project work, candidates can optionally opt for skill enhancement to gain the required skills and project work.
• No third-party candidates or C2C candidates.

Benefits

• Skill and technology enhancement programs for candidates missing skills or lacking industry/client experience.
• Support for candidates having difficulty in finding jobs or cracking interviews.