Data Scientist jobs – Urgent required- C2C Jobs in Tampa, FL

Data Scientist – AI/ML, MLOps
Contract
Location – Tampa, FL

 In-depth knowledge of Deep Learning and Neural Network architectures, with multiple years of hands-on experience.

 Proven track record in developing prototypes and deploying/productional zing solutions leveraging big data.

 Expertise in Autoencoders, Neural Networks, RNN, CNN, GNN, LSTMs, and other advanced neural network models.

 Exceptional Python coding skills, including development, debugging, and production-quality coding.

 Extensive experience in handling and processing large volumes of document data, including financial, legal, regulatory, and policy data.

 Strong understanding of NLP classification tasks and their application in various projects.

 Proficient in parallel experimentation, GPU utilization, distributed computing, and Spark ML.

 Ability to accurately scope and estimate GPU usage for model training and deployment.

 Hands-on experience with LLMs and Generative AI algorithms, including development and fine-tuning.

 Proficient in using GitHub for version control, and experienced in deployment processes.

 Skilled in Kubernetes, AWS, and designing robust solution architectures.

 Experience with MLOps or AIOps practices to streamline machine learning workflows.

 Publication record in key AI/ML conferences or journals, demonstrating thought leadership in the field.

 Ability to effectively showcase and communicate work to various stakeholders.

 Strong Agile mentality, with experience working in Agile development environments and familiarity with Agile methodologies such as Scrum or Kanban.

 Excellent problem-solving skills and the ability to think critically and creatively to develop innovative solutions.

 Strong collaboration and teamwork skills, with the ability to work effectively in cross-functional teams.

 Excellent communication skills, both written and verbal, with the ability to convey complex technical concepts to non-technical stakeholders.

 Strong project management skills, with the ability to manage multiple projects and priorities simultaneously.

 Commitment to continuous learning and staying up-to-date with the latest advancements in AI, Machine Learning, and related fields.

 Experience in mentoring and guiding junior team members, fostering a collaborative and growth-oriented team culture.

 Advanced technical skills in graph or contextual attention mechanisms, hierarchical modeling, and agent-based modeling.

 Expertise in Named Entity Recognition (NER) and other advanced NLP techniques.

 Excellent command of linear algebra and its applications in machine learning and deep learning.

 Familiarity with hierarchical modeling techniques for complex data structures.

 Experience with graph-based algorithms and their applications in machine learning.

 Proficiency in contextual attention mechanisms to enhance model performance.

 Expertise in prompt engineering for optimizing AI model interactions.

 Advanced knowledge of Generative AI use case architectures and algorithms, including advanced Retrieval-Augmented Generation (RAG), Generative Adversarial Networks (GANs), Contrastive Learning, Transfer Learning, and K-shot Learning.

 Proficiency in working with large language models and transformers.

 Strong understanding of graph theory and its applications in neural networks.

Regards,
Karthik | Tekgence Inc.

Sr.Talent Acquisition Specialist