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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:
object detection , Tensorflow, Pytorch, Python, AWS, Version Control, Azure ML, Gcp, Computer Vision, Opencv, image classification, scikit-learn, knowledge graphs, Azure OpenAI, VAEs, MLOps practices, model registry, Segmentation, Azure Blob, GANs, LLMs, Cognitive Services, generative models, retrieval-augmented generation, vector search engines, Monitoring, cloud-native AI environments, agentic AI systems, Azure AI services
Skills:
data wrangling , Sql, Clustering, Predictive Modelling, Pandas, Numpy, Python, Gcp, feature engineering, scikit-learn, time series forecasting, algorithm selection, model evaluation, model tuning
Skills:
Pyspark, Tensorflow, Pytorch, Flask, Python, AWS, Apis, Hadoop, Sql, Gcp, Spark, Databricks, FastAPI, Azure, data science techniques, decision science approaches, Statistical Modeling, ML services, multimodal AI, big data ecosystems, Generative AI, Agentic AI frameworks, LLMs, cloud platforms, Optimization Techniques, AI ML data science pipelines
Skills:
Pyspark, Machine Learning, Clustering, Sql, MLops, Time Series, Databricks, Azure, Python, GenAI, Forecasting, Bayesian optimization, Optimisation, Statistical Quality Control, CI CD, Llm, Classification, prediction, Statistical Process Control, Operations Research
Skills:
Tensorflow, Pytorch, Docker, Matlab, Python, Kubernetes, IBM CPLEX, MLflow, SciPy Optimize, R, Google OR-Tools, Gurobi
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