Data Sciences Engineer

Job DescriptionJob Title : Data Sciences EngineerExperience Required - 3+ YearsMust Have Technical/Functional SkillsRoles & Responsibilities 3 to 5 years of software development experience combining Data Science and Engineering skills to solve business problems Hands-on experience in building and deploying AI/ML models including Classical ML, Generative AI, Prompt Engineering, LangChain and NLU/NLP Working experience with American Express Internal GenAI recipes/Launchpad including Safechain & RAG models is a plus In-depth knowledge of machine learning algorithms, software architecture, libraries and frameworks to create AI applications that accomplish outlined goals Rigorous knowledge of Python programming to develop software. Java is a plus. Experience in integrating AI/ML into existing applications in batch and realtime, including microservices architecture Experience in taking models through AI/ML governance in highly regulated industry is a plus Strong foundational knowledge of machine learning metrics Hands-on experience on writing and understanding complex SQL and optimizing data pipelines. Experience with NoSQL is a plus Experience in Big Data ecosystem including Map-Reduce, Hive, Spark (core, SQL and pyspark) is a plus. Knowledge of basic UNIX commands is necessary. Experience with GitHub and employing CI/CD pipelines in a cloud container architecture Creative thinking and problem-solving skills to come up with new solutions and approaches Skillful in developing and maintaining detailed, easy-to-read documentation including data dictionaries, model documentation, and code documentation Effective verbal and written communication skills to collaborate within and outside the teamSalary Range - $90,000 to $105,000 per yearTCS Employee Benefits SummaryDiscretionary Annual Incentive.Comprehensive Medical Coverage: Medical & Health, Dental & Vision, Disability Planning & Insurance, Pet Insurance Plans.Family Support: Maternal & Parental Leaves.Insurance Options: Auto & Home Insurance, Identity Theft Protection.Convenience & Professional Growth: Commuter Benefits & Certification & Training Reimbursement.< span class="cf0">Time Off: Vacation, Time Off, Sick Leave & Holidays.Legal & Financial Assistance: Legal Assistance, 401K Plan, Performance Bonus, College Fund, Student Loan Refinancing.