Job Location: Bangalore/Bengaluru

Roles and Responsibilities

Responsibilities

• Researches, develops and maintains machine learning and statistical models for business requirements
• Partners with lines of business to translate business analytic problems into technical solutions and actionable recommendations across the organization
• Work across the spectrum of statistical modelling including supervised, unsupervised, & deep learning techniques to apply the right level of solution to the right problem
• Build frameworks leveraging APIs to industrialize AI models across the organization
• Coordinate with different functional teams to monitor outcomes and refine/ improve the machine learning models
• Build frameworks leveraging APIs to industrialize AI models across the organization
• Collaborate with data and software engineers to enable deployment of models that will scale across the companys ecosystem
• Adhere to stringent quality assurance and documentation standards using version control and code repositories (e.g., Git, GitHub, Markdown)

Requirements and Skills

• You should have Bachelor’s or Master’s degree in Computer Science, Statistics or Mathematics, Informatics, Information Systems or another quantitative field
• You should have 4 to 5 years of experience in solving real life complex business problems using machine learning. Having experience in taking at least on machine learning solution to production is required.
• In-depth understanding and modeling experience in supervised, unsupervised, reinforcement and deep learning models
• Knowledge of vector algebra, statistical and probabilistic modelling is highly desirable
• Exploratory data analysis and hypothesis testing to identify ML opportunities is a plus
• Experience in major machine learning frameworks such as Pytorch, Scikit-Learn, Tensorflow, Pandas, SparkML etc.
• Fluency in programming skills such as Python, R, or other equivalent languages
• Familiarity with databases like MySQL, Oracle, SQL Server, NoSQL, etc. is desirable
• Experience working with Amazon SageMaker or Azure ML Studio for deployments is a plus
• Strong analytical and critical thinking skills
• Effective communication skills (written and verbal) to properly articulate complicated statistical models/ reports to management and other IT development partners

Desired Candidate Profile

Perks and Benefits

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