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Data Science with Python
Job Location: Bangalore/Pune/Chennai
Experience – 6 to 9 years
Required Skill Set:
Technical Skills:
· Machine Learning: Strong proficiency in machine learning algorithms (regression, classification, clustering, deep learning) and their implementation using Python libraries (TensorFlow, PyTorch, Scikit-learn).
· AI: Understanding of AI concepts, including natural language processing (NLP), computer vision, and reinforcement learning.
· Programming: Expert-level Python programming skills, including data manipulation, statistical analysis, and model development.
· Database: Proficiency in SQL and experience with PostgreSQL for data storage and retrieval.
· Cloud Platforms: Familiarity with cloud platforms (AWS, GCP, Azure) for deploying and managing machine learning workloads.
· Data Engineering: Experience with data pipelines, ETL processes, and data preprocessing techniques.
· Big Data: Knowledge of big data technologies (Hadoop, Spark) is a plus.
Soft Skills:
· Problem Solving: Ability to analyze complex problems and develop effective solutions.
· Communication: Excellent communication skills to explain technical concepts to both technical and non-technical audiences.
· Collaboration: Strong teamwork and interpersonal skills to work effectively with cross-functional teams.
· Leadership: Ability to mentor and guide junior team members.
· Business Acumen: Understanding of business objectives and how machine learning can drive business value.
· Continuous Learning: Passion for staying updated with the latest advancements in machine learning and AI.
Job ID: 149065681
Skills:
probability , Tensorflow, Numpy, Nlp, Pytorch, Real-Time, Python, AWS, Apis, Batch, Clustering, Sql, Deep Learning, Pandas, Gcp, Time Series, Azure, end-to-end ML models, Training, large datasets, model evaluation, Classification, Deployment, Validation, data preprocessing, Data Analysis, ML algorithms, Cloud platforms, Scikit-learn, Statistics, Regression, Recommendation Systems, tuning techniques, feature engineering, ML model deployment
Skills:
Tensorflow, Machine Learning, Pytorch, Python, Computer Vision, Deep Learning, OCR applications
Skills:
snowflake , Pyspark, Gcp, Databricks, Azure, Python, AWS, Generative AI, LLMs, cloud-native architecture, Vector Databases, DL libraries
Skills:
Kubernetes, Pytorch, Matlab, Python, Tensorflow, Docker, R, MLflow
Skills:
causal inference , Sql, Databricks, Predictive Modelling, Pyspark, Machine Learning, MLops, Clustering, Python, Azure, Optimisation, Time-Series Forecasting, Segmentation, GenAI, Uplift Modelling, Classification, Regression
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