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Senior Solutions Architect - Austin, United States - LTIMindtree
Description
About Us:
LTIMindtree is a global technology consulting and digital solutions company that enables enterprises across industries to reimagine business models, accelerate innovation, and maximize growth by harnessing digital technologies. As a digital transformation partner to more than 700+ clients, LTIMindtree brings extensive domain and technology expertise to help drive superior competitive differentiation, customer experiences, and business outcomes in a converging world. Powered by nearly 90,000 talented and entrepreneurial professionals across more than 30 countries, LTIMindtree — a Larsen & Toubro Group company — combines the industry-acclaimed strengths of erstwhile Larsen and Toubro Infotech and Mindtree in solving the most complex business challenges and delivering transformation at scale. For more information, please visit
Job Title:
Sr. Solution Architect role for marketing analytics
Work Location
Austin, TX (Onsite)
Job Description:
• Collate technical and functional requirements through workshops with senior stakeholders in risk, actuarial, pricing and product teams.
• Data mining or extracting usable data from valuable data sources
• Carry out preprocessing of structured and unstructured data
• You will Process, Cleanse, and validate the integrity of data to be used for analysis
• You will analyze large amounts of information to find patterns and solutions
• You will develop prediction systems and machine learning algorithms
• Model, build, and test AI software to ensure it can take on large swaths of data.
• Use Python, JavaScript, and C++ to create a faster, more capable AI.
• Help us to present results. Propose solutions and strategies to tackle challenges.
• You will collaborate with Business and IT teams
• Stay current on AI knowledge, trends, and regulations.
• Collect, organize, and present progress with team leadership and partners.
Qualifications
Bachelor's degree or equivalent combination of training.
• Minimum 6 years in information technology or higher education.
• 4+ years of hands-on experience as a data scientist working on end-to-end machine learning projects.
• Knowledge of statistical programming languages like R, Python. Familiarity with Scala, Java, or C++ .
• Familiarity with AWS or other large cloud providers.
• Good applied statistical skills of statistical tests, distributions, regression, and maximum likelihood estimators.
• Knowledge of machine learning methods like k-Nearest Neighbours, Naive Bayes, SVM, Decision Forests.
• Knowledge of NLP , LLMs - Falcon, LLama, Langchain, Palm2, Text annotation and Information extraction
• Hands-on experience with architecting Language Models and working with Vector Databases
• Experience writing complex SQL, data extraction, analysis and profiling.
• Experience with Data Visualisation Tools like Tableau, Power BI that help to visually encode data.
Benefits/perks listed below may vary depending on the nature of your employment with LTIMindtree ("LTIM"):
Benefits and Perks:
The range displayed on each job posting reflects the minimum and maximum salary target for the position across all US locations. Within the range, individual pay is determined by work location and job level and additional factors including job-related skills, experience, and relevant education or training. Depending on the position offered, other forms of compensation may be provided as part of overall compensation like an annual performance-based bonus, sales incentive pay and other forms of bonus or variable compensation.
Disclaimer: The compensation and benefits information provided herein is accurate as of the date of this posting.
LTIMindtree is an equal opportunity employer that is committed to diversity in the workplace. Our employment decisions are made without regard to race, color, creed, religion, sex (including pregnancy, childbirth or related medical conditions), gender identity or expression, national origin, ancestry, age, family-care status, veteran status, marital status, civil union status, domestic partnership status, military service, handicap or disability or history of handicap or disability, genetic information, atypical hereditary cellular or blood trait, union affiliation, affectional or sexual orientation or preference, or any other characteristic protected by applicable federal, state, or local law, except where such considerations are bona fide occupational qualifications permitted by law.
Safe return to office:
In order to comply with LTIMindtree' s company COVID-19 vaccine mandate, candidates must be able to provide proof of full vaccination against COVID-19 before or by the date of hire. Alternatively, one may submit a request for reasonable accommodation from LTIMindtree's COVID-19 vaccination mandate for approval, in accordance with applicable state and federal law, by the date of hire. Any request is subject to review through LTIMindtree's applicable processes.