Looking for individuals with 7-10 years of experience implementing and managing Data science projects . Working knowledge of Machine and Deep learning based client projects, MVPs, and POCs. Should have expert level experience with machine learning frameworks like scikit-learn, tensorflow, keras and deeplearning architectures like RNNs and LSTM. Should have worked with cognitive services from major cloud platforms like AWS (Textract, Comprehend) or Azure cognitive services etc. and have a working knowledge of SQL and no-SQL databases and microservices. Should be adapt at Python Scripting. Experience on NLP and Text Analytics is preferred
Knowledge of Natural Language Processing(NLP)techniques and frameworks like Spacy, NLTK, etc. Should have strong understanding & hands on experience with machine learning frameworks like scikit-learn, tensorflow, keras and deep learning architectures like RNNs and LSTM , BERT
Should have worked with cognitive services from major cloud platforms like AWS and have a working knowledge of SQL and no-SQL databases.
Ability to create data and ML pipelines for more efficient and repeatable data science projects using MLOps principles
Keep abreast with new tools, algorithms and techniques in machine learning and works to implement them in the organization
Strong understanding of evaluation and monitoring metrics for machine learning projects
Robust understanding of containerization using docker and Kubernetes to get the models into production
Ability to Translate complex machine learning problem statements into specific deliverables and requirements
Adept at Python Scripting
Knowledge of distributed computing frameworks and cloud ML frameworks including AWS.
Experience in natural language processing, computer vision, or deep learning.
Certifications or courses in data science, analytics, or related fields.
Should exhibit diligence and meticulousness in working with data
7+ years of Software Development experience
- 4+ years of experience in the Data Science and Machine Learning techniques
- Proven track record of getting ML models into production
- Hands-on experience with writing ML models with Python.
- Prior experience in ML platforms and tools such as Dataiku, DataBricks, etc. Bachelor's degree in Computer Science, Information Technology, or related field (Master's degree preferred).
Understanding of utilizing Agile and Scrum software development methodologies
Skill in gathering and documenting user requirements and writing technical specifications.
Excellent team player, able to work with virtual teams.
Self-motivated and capable of working independently with minimal management supervision.
Having Machine Learning or AI certifications would be an added advantage.