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The ML Solutions team is seeking a Data Scientist/Machine Learning Engineer to drive the design, development, and deployment of innovative AI/ML and GenAI-based solutions. In this hands-on role, you will leverage your expertise to create a variety of AI models, guiding a team from initial concept to successful production. A key aspect involves mentoring team members and fostering their growth. You will collaborate closely with business partners and stakeholders, championing the adoption of these advanced technologies to enhance client experiences, deliver tangible value to our customers, and ensure adherence to regulatory requirements through cutting-edge technical solutions. This position offers a unique opportunity to shape the future of our AI initiatives and make a significant impact on the organization.
Job Responsibility:
Actively contribute to the development and delivery of AI solutions
Drive innovation and excellence within the team
Ensure AI models are successfully deployed into production environments
Mentor and guide data analysts/ML engineers from concept to production
Foster technical growth and provide project oversight
Ensure adherence to best practices
Conduct rigorous testing and evaluation of generative AI models
Participate in research activities to explore and advance state-of-the-art generative AI techniques
Stay actively engaged in monitoring ongoing research efforts and emerging trends
Collaborate effectively with various teams to integrate AI technologies into products and services
Requirements:
8 to 13 years of Strong hands-on experience in Machine Learning, delivering complex solutions to production
Experience with Generative AI technologies essential
Understanding of concepts like supervised, unsupervised, clustering, embedding
Knowledge of NLP, Name Entity Recognition, Computer Vision, Transformers, Large Language Models
In-depth knowledge of deep learning and Generative AI frameworks such as, Langchain, Lang Graph, Crew AI or similar
Experience with and other open-source frameworks/libraries/APIs like Hugging Face Transformers, Spacy, Pandas, scikit-learn, NumPy, OpenCV
Experience in using Machine Learning/Deep Learning: XGBoost, LightGBM, TensorFlow, PyTorch, Keras
Proficiency in Python Software Development, following Object-Oriented design patterns and best practices
Strong background in mathematics: linear algebra, probability, statistics, and optimization
Experience with evaluation, scoring with framework like ML Flow
Experience of Docker container and edited a Docker file, experience with K8s is a plus
Experience with Postgres and Vector DBs a plus
Excellent problem-solving skills and the ability to think creatively
Strong communication and collaboration skills, with the ability to work effectively with cross-functional teams
Publications and contributions to the AI research community are a plus
Master’s degree/Ph. D. or equivalent experience in Computer Science, Data Science, Statistics, or a related field
8-12 years of experience
Nice to have:
Experience with Postgres and Vector DBs a plus
Publications and contributions to the AI research community are a plus
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