Data Scientist - Artificial Intelligence
Actively Hiring
Full-time Posted about 1 month ago
Role overview
Valleysoft is a regional IT services provider delivering enterprise application development, process management, IT support, and a broad range of technology solutions for global clients. Working across the information technology and services sector, the company helps organizations solve complex business problems through practical, scalable digital solutions.
As a Data Scientist – Artificial Intelligence, you will help shape AI-driven solutions that turn data into business value. This role is focused on applying advanced data science, machine learning, and generative AI techniques to real-world challenges, partnering closely with technical teams and business stakeholders to deliver solutions that are innovative, reliable, and aligned with business goals.
Responsibilities
- check_circle Design, develop, and deploy Machine Learning and Artificial Intelligence models to address complex business challenges.
- check_circle Analyze large volumes of structured and unstructured data to identify trends, patterns, and actionable insights.
- check_circle Build predictive, classification, clustering, recommendation, and forecasting models.
- check_circle Develop and optimize Deep Learning models using modern AI frameworks.
- check_circle Design and implement Generative AI solutions using Large Language Models (LLMs).
- check_circle Build Retrieval-Augmented Generation (RAG) pipelines and apply Prompt Engineering techniques.
- check_circle Perform data collection, cleansing, preprocessing, feature engineering, and exploratory data analysis (EDA).
- check_circle Collaborate with Data Engineers and Software Engineers to build scalable AI applications and data pipelines.
- check_circle Deploy, monitor, and maintain machine learning models using MLOps best practices.
- check_circle Evaluate and improve model performance using appropriate statistical and machine learning metrics.
- check_circle Work closely with business stakeholders to translate business requirements into AI-driven solutions.
- check_circle Develop technical documentation, model documentation, and solution architecture artifacts.
- check_circle Ensure AI solutions comply with data governance, security, privacy, and Responsible AI principles.
- check_circle Stay current with emerging AI technologies, frameworks, and industry best practices.
Basic qualifications
- + Bachelor's degree in Computer Science, Artificial Intelligence, Data Science, Statistics, Mathematics, Engineering, or a related field.
- Min 7 years of hands-on experience in Data Science, Machine Learning, or Artificial Intelligence.
- Strong experience developing and deploying AI/ML models in enterprise environments.
- Excellent analytical, problem-solving, and communication skills.
- Experience working in Agile development environments.
Preferred qualifications
- + Experience developing enterprise AI solutions using IBM watsonx platform.
- Experience building AI-powered applications using LLMs and RAG architectures.
- Knowledge of Natural Language Processing (NLP) and Computer Vision.
- Experience with Explainable AI (XAI) and Responsible AI principles.
- Familiarity with Data Governance and AI Governance frameworks.
- Experience integrating AI models with REST APIs and microservices.
- Understanding of distributed computing and Big Data technologies.
- Experience working in Agile/Scrum teams.
Benefits
- check_circle Private Health Insurance.
- check_circle Training & Development.
- check_circle Opportunities for professional growth and development in a cutting-edge field.
- check_circle A collaborative and inclusive work environment.
- check_circle The chance to work on impactful projects with a team of passionate experts.
Tags & Focus Areas
Fulltime Ai Machine Learning Data Science Generative Ai