Sr Data Scientist (AI/ML)

Data Scientist (AI/ML) Job Description

Job Title: Data Scientist Artificial Intelligence & Machine Learning

Location: [Remote/Hybrid/Onsite]
Duration: Full-Time / Contract
Visa's: H1 Transfers, s

Position Summary

We are seeking an experienced Data Scientist with strong AI/ML expertise to design, develop, and deploy advanced machine learning solutions that drive business value. The ideal candidate will possess hands-on experience in predictive modeling, deep learning, Generative AI, large language models (LLMs), and data engineering practices, along with strong programming and analytical skills.

Key Responsibilities

• Design, develop, and deploy scalable Machine Learning and AI solutions.
• Build predictive models, classification models, recommendation systems, forecasting models, and anomaly detection solutions.
• Develop and fine-tune Generative AI applications using LLMs such as GPT, Llama, Claude, or similar models.
• Implement NLP solutions including sentiment analysis, text classification, summarization, and document intelligence.
• Perform data cleansing, feature engineering, exploratory data analysis (EDA), and model evaluation.
• Develop and optimize deep learning models using TensorFlow, PyTorch, or Keras.
• Create data pipelines for model training, inference, and monitoring.
• Collaborate with business stakeholders to translate business requirements into AI-driven solutions.
• Deploy AI/ML solutions on cloud platforms including AWS, Azure, or Google Cloud Platform.
• Monitor model performance and implement model retraining strategies.
• Stay updated with advancements in AI, Machine Learning, Generative AI, and MLOps technologies.

Required Qualifications

• Bachelor's or Master's degree in Data Science, Computer Science, Statistics, Mathematics, Engineering, or related field.
• 12 years of experience in Data Science and Machine Learning.
• Strong programming skills in Python.
• Experience with Machine Learning libraries such as:
  • Scikit-Learn
  • TensorFlow
  • PyTorch
  • Keras
  • XGBoost
• Experience with SQL and large-scale data processing.
• Strong understanding of supervised and unsupervised learning algorithms.
• Hands-on experience with:
  • Classification
  • Regression
  • Clustering
  • Time Series Forecasting
  • Recommendation Systems
• Experience with cloud platforms (AWS, Azure, or Google Cloud Platform).
• Proficiency in data visualization tools such as Power BI, Tableau, or Matplotlib.
• Experience with Git and CI/CD pipelines.

Preferred Qualifications

• Experience with Generative AI, LLMs, LangChain, LlamaIndex, RAG, Vector Databases (Pinecone, Weaviate, ChromaDB).
• Knowledge of MLOps tools such as MLflow, Kubeflow, Airflow, or SageMaker.
• Experience with Spark, Databricks, and Big Data ecosystems.
• Familiarity with Docker, Kubernetes, and containerized deployments.
• Azure AI Services, Azure ML Studio, OpenAI, or AWS Bedrock experience.
• Experience building production-grade AI applications.

Technical Skills

Programming: Python, SQL, R
AI/ML: Machine Learning, Deep Learning, NLP, Computer Vision, Generative AI, LLMs
Frameworks: Scikit-Learn, TensorFlow, PyTorch, Keras, Hugging Face
Cloud: AWS, Azure, Google Cloud Platform
MLOps: MLflow, Kubeflow, Airflow, Docker, Kubernetes
Big Data: Spark, Databricks, Hadoop
Visualization: Tableau, Power BI, Matplotlib, Seaborn

Nice-to-Have

• Experience with Chatbots and AI Assistants.
• Retrieval-Augmented Generation (RAG) implementation experience.
• Prompt Engineering expertise.
• Experience with OpenAI, Anthropic Claude, Gemini, or Llama models.

Keywords: Data Scientist, AI Engineer, Machine Learning Engineer, Generative AI, LLM, NLP, Deep Learning, Python, TensorFlow, PyTorch, OpenAI, Azure AI, AWS SageMaker, Databricks, MLOps, RAG, LangChain.