Senior Manager - Data Science

Looking for individuals with 12+ 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

Responsibilities:

Technical Skills - Must have:

• Knowledge of Natural Language Processing(NLP)techniques and frameworks like Spacy, NLTK, etc. and good knowledge of Text Analytics
• 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
• Strong 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

Technical Skills - Good to have:

• 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

OTHER SKILLS WED APPRECIATE

• 10+ 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. would be a plus

Education Qualification:

Bachelors degree in Computer Science, Information Technology, or related field (Masters degree preferred).

Process Skills:

• General SDLC processes
• Understanding of utilizing Agile and Scrum software development methodologies
• Skill in gathering and documenting user requirements and writing technical specifications.

Behavioral Skills:

• Good Attitude and Quick learner.
• Well-developed design, analytical problem-solving skills
• Strong oral and written communication skills
• Excellent team player, able to work with virtual teams.
• Self-motivated and capable of working independently with minimal management supervision.
• Certification:
• Having Machine Learning or AI certifications would be an added advantage.