Machine Learning Expert
- Tata Consultancy
- 4 - 7 years
- Bengaluru
- 6 months ago
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Job Description
Technical Skills-
Programming Languages:
Expertise in Python and R for data analysis and algorithm development.
Familiarity with Java, C++, or Julia for system-level programming and optimization.
ML Frameworks & Libraries:
Proficiency in TensorFlow, PyTorch, Keras, Scikit-learn, and other ML libraries.
Hands-on experience with XGBoost, LightGBM, or CatBoost for boosting techniques.
Mathematical Foundations:
Strong understanding of linear algebra, calculus, probability, and statistics.
Data Processing:
Experience with tools like Pandas, NumPy, or Dask for handling and transforming datasets.
Knowledge of ETL (Extract, Transform, Load) processes.
Model Development:
Skills in designing, training, and fine-tuning machine learning models.
Expertise in hyperparameter tuning and cross-validation techniques.
Big Data Technologies:
Familiarity with Apache Spark, Hadoop, or Snowflake for processing large-scale datasets.
Cloud Platforms:
Proficiency with AWS SageMaker, Google AI Platform, or Azure Machine Learning for deploying and managing ML models.
Database Management:
Knowledge of SQL for structured data querying and NoSQL for unstructured data handling (e.g., MongoDB, Cassandra).
Version Control & Workflow:
Use of Git/GitHub for collaborative work and model version control.
Familiarity with Jupyter Notebooks or IDEs for experimentation.
Deployment:
Experience in deploying ML models using Docker and Kubernetes.
Knowledge of integrating models with APIs and CI/CD pipelines.
Must Have-
Strong Programming Skills: Proficiency in Python, R, Java, or C++ for implementing ML algorithms.
Mathematics and Statistics: Solid understanding of linear algebra, calculus, probability, and statistics.
Machine Learning Algorithms: Expertise in supervised, unsupervised, and reinforcement learning techniques.
Data Preprocessing: Ability to clean, preprocess, and transform raw data into usable formats.
Model Evaluation: Knowledge of metrics like accuracy, precision, recall, F1-score, and ROC-AUC for evaluating models.
Deep Learning: Familiarity with neural networks, CNNs, RNNs, and frameworks like TensorFlow or PyTorch.
Problem-Solving Skills: Analytical thinking to design and implement ML solutions for real-world problems.
Job Classification
Industry: IT Services & ConsultingFunctional Area / Department: IT & Information SecurityRole Category: IT SecurityRole: IT Security - OtherEmployement Type: Full timeContact Details:
Company: Tata ConsultancyLocation(s): Bengaluru
Keyskills: Machine Learning Ml Algorithms Python
Tata Consultancy
\n\nMavlers is a full-service digital marketing agency that has propelled growth for over 7,000 brands and agencies worldwide. As Google, Mailchimp, WP VIP, Microsoft, Salesforce, and HubSpot partners, we possess the expertise to deliver high-impact projects and campaigns tailored to our clients uni...
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