Data Scientist

Overview Notes: We need someone who doesn't need visa to travel to Europe. Rate: 450-500 Per day inside IR35. Duration: Initially 6 months. Experience: 12+ years of experience mandatory. Travel: Travel to Europe once in a month (European country). Required Skills & Qualifications Classic Machine Learning (Regression, Predictive Analysis, Classification, Clustering). Responsibilities

• Design, develop, and optimize machine learning and deep learning models.
• Work on AI/ML projects including NLP, computer vision, recommendation systems, and generative AI.
• Perform data cleaning, feature engineering, and exploratory data analysis (EDA).
• Build and manage data pipelines and model training workflows.
• Deploy models into production and monitor performance.
• Collaborate with Product, Engineering, and Business teams to translate business problems into AI solutions.
• Conduct model evaluation, A/B testing, and performance tuning.
• Document models, experiments, and technical processes.
Technical Proficiencies
• Strong proficiency in Python (NumPy, Pandas, Scikit-learn).
• Hands-on experience with Deep Learning frameworks: TensorFlow, PyTorch, or Keras.
• Experience in Natural Language Processing (NLP) and/or Computer Vision.
• Strong knowledge of Machine Learning algorithms and statistics.
• Experience with SQL/NoSQL databases and big data tools (Spark, Hadoop preferred).
• Experience with MLOps tools such as Docker, Kubernetes, CI/CD pipelines.
Preferred Skills
• Experience with LLMs / Generative AI (OpenAI, Hugging Face, LangChain).
• Cloud experience (AWS, Azure, or GCP).
• Experience building AI APIs and microservices.
Education Bachelor's or Master's degree in Computer Science, Data Science, AI, or a related field. (PhD preferred for advanced research roles) Soft Skills
• Strong problem-solving and analytical thinking.
• Excellent communication and storytelling skills.
• Ability to work in fast-paced, cross-functional teams.
  
  Classic Machine Learning (Regression, Predictive Analysis, Classification, Clustering)., Strong proficiency in Python (NumPy, Pandas, Scikit-learn).
• Hands-on experience with Deep Learning frameworks: TensorFlow, PyTorch, or Keras.
• Experience in Natural Language Processing (NLP) and/or Computer Vision.
• Strong knowledge of Machine Learning algorithms and statistics.
• Experience with SQL/NoSQL databases and big data tools (Spark, Hadoop preferred).
• Experience with MLOps tools such as Docker, Kubernetes, CI/CD pipelines.
Preferred Skills
• Experience with LLMs / Generative AI (OpenAI, Hugging Face, LangChain).
• Cloud experience (AWS, Azure, or GCP).
• Experience building AI APIs and microservices., Bachelor's or Master's degree in Computer Science, Data Science, AI, or a related field. (PhD preferred for advanced research roles), Strong problem-solving and analytical thinking.
• Excellent communication and storytelling skills.
• Ability to work in fast-paced, cross-functional teams.