Talentoj | Lead Data Scientist | jodhpur
1 week ago
Responsibilities:-
• Demonstrated expertise with 6-10 years of hands-on experience in AI/ML, NLP, Python, and
cloud platforms such as AWS/Azure/GCP.
• Proven proficiency in advanced technologies including Computer Vision, Machine Vision,
Speech Recognition, and Docker.
• Lead the ideation, research, and development of sophisticated machine learning models for
media content analysis, employing cutting-edge techniques such as natural language
processing, computer vision, speech recognition, and deep learning.
• Incorporate MLOps principles to ensure scalability, repeatability, and automation in the end-
to-end machine learning lifecycle.
• Construct scalable AI/ML solutions, tailored to specific requirements, spanning NLP,
Computer/Machine Vision, Speech Recognition, Clustering, Segmentation, and Deep
Learning.
• Optimize models for performance, taking into consideration real-world constraints and
requirements.
• Write reusable code following best software engineering practices, accommodating
common design patterns and Object-Oriented Programming (OOPs) principles.
• Establish and enforce coding standards, documentation practices, and model version control
within the team.
• Spearhead discussions with Operations teams, ensuring the smooth deployment,
optimization, and orchestration of machine learning models.
• Work closely with cross-functional teams, including engineering, product management, and
content creation, to gather requirements and deliver impactful, technically sound solutions.
Must Have Skills:
• 6+ years of relevant data science experience in a delivery focused team
• Strong coding ability in Python, familiarity with relevant libraries (e.g., TensorFlow, PyTorch),
and general software development skills (source code management, debugging, testing,
deployment, etc.) is a must
• Knowledge of both traditional as well awareness with existing state of the art methods in
Machine Learning, NLP, Computer Vision, Speech Recognition, Transfer Learning, Text
Analysis, Information Extraction and Retrieval with a proven track record of applying them to
real problems.
• Experience with end-to-end model deployment and orchestration in production
environments.
• Experience in cloud computing like AWS is a plus
• Experience in microservice based architectures with model containerization using Docker is a
must (Kubernetes experience will be an added advantage)
• Ability to communicate the requirements and deliverables effectively to both technical
teams as well as non-technical domain specialists
• Strong team player; ability to provide both a strong individual contribution but also work as
a team and contribute to wider goals is a must in this dynamic environment
• Strong verbal and written communication skills to establish proper communications within
the team and clients
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