Job Location: Noida
Key Responsibilities
- Discover the information hidden in structured & unstructured data by applying data mining techniques, doing statistical analysis, and building high quality prediction systems
- Evaluating business problems for suitability & feasibility of a predictive solution
- The candidate should understand and use computer science fundamentals, including data structures, algorithms, computability, complexity, and computer architecture.
- Should apply machine learning algorithms and libraries
- Evaluating & identifying the right Machine Learning and data science techniques & toolsets to address a variety of predictive analytics problems
- An individual contributor as well as a guide to the fellow team members in discovery, design, and development of analytical models
- Working with functional & technical teams in the development, pilot & optimization of tools and models using Machine Learning & Natural Language Processing
Qualifications & Skills
- Advanced degree in statistics, computer science, machine-learning or related fields such as econometrics
- 4+ years of professional experience in software engineering, with a good understanding of the Information Technology industry
- 3+ years of data mining (structured / unstructured data) & Machine Learning experience, with a proven ability to design and develop solutions across ML landscape (supervised, un-supervised, semi-supervised etc.) Excellent applied statistics skills
- Supervised algorithms, such as k-NN, Naive Bayes, Decision Trees, Logistic Regression, SVM, Random Forests, Neural Nets etc.
- Unsupervised algorithms including clustering, anomaly detection, document similarity, dimensionality reduction etc.
- Image processing/ classification using machine learning
- Proven experience with below toolkits & technologies is a must: Statistical programming languages such as Python.
- AWS/ GCP/ Azure Machine Learning
- ML and NLP toolkits such as scikit-learn, TensorFlow, PyTorch, Keras, Stanford suite, Python NLTK, spaCy
- Strong attention to detail and excellent quantitative and qualitative analytical ability
- Team player and a self-starter; Excellent collaboration skills
- Excellent oral & written communication skills, with ability to explain machine learning concepts and findings or techniques to varied stakeholders
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