Job details

Country

USA

State / Region / Province

Anywhere in the US and/or Remote

Work Location

Anywhere in the US and/or Remote

Domain

Delivery

Interest Group

Infosys Public Services, Inc

Skills

Technology|Big Data|Natural language processing(NLP), Technology|Cloud Platform|Azure Core services, Technology|Machine Learning|Python

Company

IPS USA

Requisition ID

129351BR

Job description

Infosys Public Services is seeking a Technology Lead –Data Scientist, to join our Team.

Position Description (scope of work or brief narrative)A talented and experienced AI and Analytics Specialist. The ideal candidate will have a strong background in artificial intelligence, generative AI, and analytics, with hands-on experience in implementing real-world use cases. Candidate will work closely with cross-functional teams to develop and deploy AI solutions that enhance our platform and services.Using problem-solving mindset to understand business challenges and how to apply AI expertise to solve them.Innovation and creativity in data analysis, problem solving and presentation of solutions.Collaborate with engineering team to bring analytical prototypes to production.Analyze raw data: assessing quality, cleansing, structuring for downstream processing.Design accurate and scalable AI solutions.Develop, test, and implement solutions as per designUse-case derivation and solution creation from structured/unstructured data.Storytelling, Business & stakeholder communication and Documentation.Required years of experience, training, technical skills, and other requirements for job performance:4 years' experience in software solution design, development, testing, implementation and support.Proven experience as a Data Scientist, with a strong track record of developing and deploying successful AI/ML models and experience with applying the same to produce high visibility AI solutions / products.A strong understanding of data analytics best practices, standards, and guidelines.Solid understanding of statistical modeling, machine learning algorithms (e.g., regression, classification, clustering, deep learning), and their applications.Experience in building integrated solutions with NLP, Vision, Recommendation Engines, Forecast, Time-Series, Predictive Algorithms.Proficiency in programming languages such as Python and experience with relevant libraries (e.g., TensorFlow, PyTorch, scikit-learn, pandas, NumPy).Experience with cloud computing platforms (e.g., : Azure, GCP, Databricks, Docker, AzureML, Git).Experience with big data technologies (e.g., Spark, Hadoop) is a plus.Experience in Gen AI Technologies like Generative AI: NLP / others.Educational Requirements:

A Bachelor’s degree in engineering or a foreign equivalent is required from an accredited institution. Will also consider three years of progressive, relevant work experience instead of every year of education.

The job entails sitting and working at a computer for extended periods. Should be able to communicate by telephone, email, or face-to-face. Travel may be required as per the job requirements.
About Us
Infosys Public Services is a global leader in next-generation digital services and consulting. We enable clients in more than 50 countries to navigate their digital transformation. With over four decades of experience in managing the systems and workings of global enterprises, we expertly steer our clients through their digital journey. We do it by enabling the enterprise with an AI-powered core that helps prioritize the execution of change. We also empower the business with agile digital at scale to deliver unprecedented levels of performance and customer delight. Our always-on learning agenda drives their continuous improvement through building and transferring digital skills, expertise, and ideas from our innovation ecosystem.

Infosys Public Services provides equal employment opportunities to applicants and employees without regard to race; color; sex; gender identity; sexual orientation; religious practices and observances; national origin; pregnancy, childbirth, or related medical conditions; status as a protected veteran or spouse/family member of a protected veteran; or disability.