Roles and Responsibilities
Required Skills: Successful candidates will have demonstrated the following skills and characteristics (Must) Prior experience of working in an ML driven environment. (Must) Strong programming skills in python. (Must) Experience in designing, developing and deploying models based on modern ML and deep learning architecture. (Good to have) Strong understanding of REST API architecture and containers (Kubernetes or Docker). (Good to have) Experience in data management, deploying and managing ML models on cloud platforms like Azure, AWS or GCP. Strong aptitude along with good academic and professional background. Ability to contribute beyond the defined scope of work. Strong verbal and written communication and presentation skills. Experience of engaging with International clients and working in an onsite-offshore environment. Roles: Design and develop ML models, preferably python Develop, deploy and manage production pipeline of ML models; automate the deployment pipeline Involved in training and research for continuous improvement Evolve problem solving capability by producing creative ideas, experimenting and working in an technological innovation driven environment keeping industry demand and applicability of such experiments in consulting engagements. Work closely with other teams in a collaborative manner for mutual growth Manage communication and project delivery between the involve teams Help assess the impact of work, and conduct so-what analysis Contribute to research, white papers, blog, and other IC development activities Keep abreast of market developments, identify growth opportunitiesKeyskills: Team Lead NLP Machine Learning Engineer Deep Learning Engineer Machine Learning Deep Learning Python
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