Roles And Responsibilities
- Experience in statistical modeling, machine learning, data mining, unstructured data analytics, natural language processing.
- Experience in a variety of machine learning techniques (clustering, decision tree learning, artificial neural networks, etc.)
- Experience of working with LLMs, Langchain,GANs etc.
- Experience in Processing, cleansing, and verifying the integrity of data used for analysis
- Experience in Selecting features, building and optimizing classifiers usinmachine learning techniques
- Experience in automating scoring using machine learning techniques
- Experience in building recommendation systems
- Experience in building high quality prediction systems
- Experience in Selecting features, building and optimizing classifiers using machine learning techniques
- Develop processes and tools to monitor and analyze model performance and data accuracy
- Experience with Python preferably with Jupyter notebook
- Experience with data science libraries such as Scikit-learn, Pandas, Numpy, Scipy, Spacy, NLTK.
- Experience with Deep learning libraries such as Tensorflow, PyTorch
- Good applied statistics skills, such as distributions, statistical testing, regression,etc.
- Experience applying machine learning, AI, deep learning etc. techniques to develop real time ML systems.
- Proven experience as an ML Engineer or similar role.
- Be a technical leader building and guiding the team members on best practices for building modern data and AI platforms and products.
Skills & experience
- At least 7 years hands-on programming experience working on enterprise products.
- Good problem solving and analytical skills in data science projects
- Demonstrated proficiency in multiple programming languages with a strong foundation such as Python