Senior Data Scientist

Infosys•Houston, NY

6d•$103,500 - $188,888

About The Position

Infosys is seeking a Data Scientist / Gen AI Lead Consultant with ZGenerative AI, Agentic AI, Machine Learning (ML), AI and Python experience. Ideal candidate is expected to have prior experience in end-to-end implementation of Gen AI and Agentic AI based solution, fine tuning large language models, Machine Learning models that includes identification of ‘right’ problem, designing ‘optimum’ solution, implementing using ‘best in class’ practices and deploying the models to production. Will work in alignment with data strategy at various clients, using multiple technologies and platforms. Infosys 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. EEO Infosys 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. Infosys 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.

Requirements

Bachelor’s Degree or foreign equivalent will also consider three years of progressive experience in the specialty in lieu of every year of education.
At least 7 years of Information Technology experience
At least 4 years of hands-on GenAI / Agentic AI and data science with machine learning
Strong proficiency in Python programming.
Experience of deploying the Gen AI applications with one of the Agent Frameworks like Langgraph, Autogen, Crew AI.
Experience in deploying the Gen AI stack/services provided by various platforms such as AWS, GCP, Azure, IBM Watson
Experience in Generative AI and working with multiple Large Language Models and implementing Advanced RAG based solutions.
Experience in processing/ingesting unstructured data from PDFs, HTML, Image files, audio to text etc.
Experience with data gathering, data quality, system architecture, coding best practices
Hands-on experience with Vector Databases (such as FAISS, Pinecone, Weaviate, or Azure AI Search).
Experience with Lean / Agile development methodologies
This position may require travel, will involve close co-ordination with offshore teams
This position is located in Bridgewater, NJ; Sunnyvale, CA; Austin, TX; Raleigh, NC; Richardson, TX; Tempe, AZ; Phoenix, AZ; Charlotte, NC; Houston, TX; Denver, CO; Hartford, CT; New York, NY, Palm Beach, FL; Tampa, FL or Alpharetta, GA, or is willing to relocate.
Candidates authorized to work for any employer in the United States without employer-based visa sponsorship are welcome to apply.
Infosys is unable to provide immigration sponsorship for this role at this time

Nice To Haves

4 years of hands-on experience with more than one programming language; Python, R, Scala, Java, SQL
Hands-on experience with CI/CD pipelines and DevOps tools like Jenkins, GitHub Actions, or Terraform.
Proficiency in NoSQL and SQL databases (PostgreSQL, MongoDB, CosmosDB, DynamoDB).
Deep Learning experience with CNNs, RNN, LSTMs and the latest research trends
Experience in Python AI/ML frameworks such as TensorFlow, PyTorch, or LangChain.
Strong understanding and experience of LLM fine-tuning, local deployment of open-source models
Proficiency in building RESTful APIs using FastAPI, Flask, or Django.
Experience in Model evaluation tools like DeepEval, FMeval, RAGAS , Bedrock model evaluation.
Experience with perception (e.g. computer vision), time series data (e.g. text analysis)
Big Data Experience strongly preferred, HDFS, Hive, Spark, Scala
Data visualization tools such as Tableau, Query languages such as SQL, Hive
Good applied statistics skills, such as distributions, statistical testing, regression, etc.
The job entails sitting as well as working at a computer for extended periods of time.
Should be able to communicate by telephone, email or face to face.
Travel may be required as per the job requirements.