Data Scientist - Artificial Intelligence

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

• Design, develop, and deploy Machine Learning and Artificial Intelligence models to address complex business challenges.
• Analyze large volumes of structured and unstructured data to identify trends, patterns, and actionable insights.
• Build predictive, classification, clustering, recommendation, and forecasting models.
• Develop and optimize Deep Learning models using modern AI frameworks.
• Design and implement Generative AI solutions using Large Language Models (LLMs).
• Build Retrieval-Augmented Generation (RAG) pipelines and apply Prompt Engineering techniques.
• Perform data collection, cleansing, preprocessing, feature engineering, and exploratory data analysis (EDA).
• Collaborate with Data Engineers and Software Engineers to build scalable AI applications and data pipelines.
• Deploy, monitor, and maintain machine learning models using MLOps best practices.
• Evaluate and improve model performance using appropriate statistical and machine learning metrics.
• Work closely with business stakeholders to translate business requirements into AI-driven solutions.
• Develop technical documentation, model documentation, and solution architecture artifacts.
• Ensure AI solutions comply with data governance, security, privacy, and Responsible AI principles.
• Stay current with emerging AI technologies, frameworks, and industry best practices.

Requirements

• + 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.

**Technical Skills:

Programming Languages**

• + Python
  • SQL
  • R (Preferred)

Machine Learning & Data Science

• + Scikit-learn
  • XGBoost
  • LightGBM
  • Statistical Modeling
  • Predictive Analytics
  • Time Series Forecasting
  • Classification & Regression
  • Clustering
  • Recommendation Systems
  • Feature Engineering

Deep Learning

• + TensorFlow
  • PyTorch
  • Keras

Generative AI

• + Large Language Models (LLMs)
  • Prompt Engineering
  • Retrieval-Augmented Generation (RAG)
  • LangChain
  • LlamaIndex
  • AI Agents
  • Vector Databases (FAISS, ChromaDB, Pinecone)

IBM AI & Data Platform

• + IBM watsonx.ai
  • IBM watsonx.data
  • IBM watsonx.governance
  • IBM Cloud Pak for Data
  • IBM Knowledge Catalog
  • IBM Db2
  • IBM SPSS Modeler (Preferred)

Data Engineering

• + Apache Spark
  • Hadoop
  • Apache Kafka
  • Apache Airflow
  • Pandas
  • NumPy
  • ETL Pipelines

Databases

• + PostgreSQL
  • Oracle Database
  • Microsoft SQL Server
  • MongoDB

Cloud Platforms

• + IBM Cloud
  • Microsoft Azure
  • Amazon Web Services (AWS)
  • Google Cloud Platform (GCP)

MLOps & DevOps

• + MLflow
  • Docker
  • Kubernetes
  • Git
  • Jenkins
  • CI/CD Pipelines

Data Visualization

• + Power BI
  • Tableau
  • Matplotlib
  • Plotly

Preferred Skills

• + 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.

Soft Skills

• + Strong analytical and critical thinking skills.
  • Excellent problem-solving abilities.
  • Strong verbal and written communication skills.
  • Ability to work collaboratively within cross-functional teams.
  • Strong stakeholder management skills.
  • Ability to manage multiple priorities in a fast-paced environment.
  • Passion for innovation, continuous learning, and emerging AI technologies.

Preferred Certifications

• + IBM watsonx AI Certification
  • IBM AI Engineering Professional Certificate
  • Microsoft Certified: Azure AI Engineer Associate
  • AWS Certified Machine Learning – Specialty
  • Google Professional Machine Learning Engineer Databricks Certified Machine Learning Professional

Benefits

• Private Health Insurance.
• Training & Development.
• Opportunities for professional growth and development in a cutting-edge field.
• A collaborative and inclusive work environment.
• The chance to work on impactful projects with a team of passionate experts.