Entry-level Software Programmer / Java Full Stack Developer / Python/Java Developer / Data Analyst / Data Scientist

What Makes Us a Great Place to Work

• Recognized as one of the world's best places to work
• Champion of diversity and a model of social responsibility
• Focus on diversity, inclusion, and collaboration to build extraordinary teams
• Hire people with exceptional talents, abilities, and potential
• Create an environment for professional and personal growth

About SynergisticIT

• Helping job seekers stand out since 2010 by ensuring only the best candidates with requisite skillsets go to clients
• Focus on making careers, not just getting jobs
• Excellent reputation with clients
• Currently looking for entry-level software programmers, Java Full stack developers, Python/Java developers, Data analysts/Data Scientists

What You'll Do

• 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, models, and components 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

About You

• 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
• 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

Additional Information

• Optional skill and technology enhancement programs available for candidates missing skills or lacking industry/client experience
• Shortlisting and selection based on client discretion
• No third party candidates or c2c candidates
• Apply by submitting resume to manav@synergisticit.com
• No phone calls please; shortlisted candidates will be contacted