Data Scientist
Job Description
We are looking for an experienced AI/ML Software Engineer with strong programming expertise in Java or Python (or a related programming language). The ideal candidate should have advanced knowledge of algorithms, data structures, parsing, numerical optimization, data mining, parallel and distributed computing, or high-performance computing. Hands-on experience in designing and implementing AI/ML models and techniques is essential. Candidates should also have experience working with analytics and data visualization tools such as Amazon QuickSight, Tableau, or Microsoft Power BI to generate actionable insights. Strong problem-solving skills, analytical thinking, and the ability to build scalable, high-performance software solutions in a collaborative environment are highly desirable.
Kindly check the JD throuroughly and kindly share the profiles only it is highly relevant.
Skills: data mining,algorithms,data,ml
Kindly check the JD throuroughly and kindly share the profiles only it is highly relevant.
Skills: data mining,algorithms,data,ml
More Info
Key Skills
Amazon QuickSight
data visualization tools
numerical optimization
AI ML models
high-performance computing
About Company
Skills:
Logistic Regression, Predictive Modelling, Nlp, XGBoost, Random Forest, Python, Sql, model evaluation, feature engineering
Skills:
S3, Prometheus, Kafka, Grafana, Tensorflow, Numpy, Bash Scripting, Pytorch, Docker, XGBoost, Flask, Python, Matplotlib, Scipy, Pandas, Seaborn, FastAPI, Airflow, Argo Workflows, TorchScript, ONNX, GitHub Actions, FFT, STFT, Trino, DWT, Plotly, LightGBM, Scikit-learn, wavelets, tsfresh, Jupyter, Athena
Skills:
Pyspark, Machine Learning, Tableau, Sql, Git, Nlp, Powerbi, Databricks, Python, GenAI, mathematical optimization, cloud platforms, Llm, deep learning techniques
Skills:
data preparation , model development , Machine Learning, Data Modeling, Neural Networks, Clustering, Sql, Deep Learning, MLops, Python, AWS, Generative AI, Cloud-based ML platforms, AI Agents, Gradient Boosting, Regression, Vector Search, Embeddings, Ensemble Methods, Classification, RAG, Data Analysis, Prompt Engineering
Skills:
Dashboards, Sql, Docker, Spark, Databricks, Kubernetes, Python, Nosql, Data Science, Devops, Cloud platforms, Web-based analytical tools