Data Scientist:
We are seeking a highly skilled Data Scientist AI to design, develop, and deploy advanced machine learning and artificial intelligence solutions. The ideal candidate will work on large datasets, build predictive models, and collaborate cross-functionally to deliver scalable, data-driven products.
Key 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.
Required Skills & Qualifications
Classic Machine learning (Regression, predictive Analysis, Classification, Clustering)
Machine learning Model Optimisation
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
Bachelors or Masters 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
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