The position has been closed by the company
Find similar jobs
Next job

AI Architect in Sphere Partners

Posted more than 30 days ago

48 views

Sphere Partners

Sphere Partners

0
0 reviews
Without experience
AI Architect віддалено Sphere partners combine global expertise and local insight tohelp people and companies toturn their ambitious goals into reality. AtSphere weput people first anAIArchitect who will join our team. Location: Remotely Type: Contract Start Date: ASAP Responsibilities include but are not limitedto: • Develop Generative AIsolutions using Databricks, MLand GenAI technologies across various client teams; • Contribute tothe development and applications using Large Language
AI Architect віддалено Sphere partners combine global expertise and local insight tohelp people and companies toturn their ambitious goals into reality. AtSphere weput people first anAIArchitect who will join our team. Location: Remotely Type: Contract Start Date: ASAP Responsibilities include but are not limitedto: • Develop Generative AIsolutions using Databricks, MLand GenAI technologies across various client teams; • Contribute tothe development and applications using Large Language Models (LLMs) and Generative AI; • Exploring new areas within the fields ofLarge Language Models (LLMs) and Generative AIand translate research into practical applications; • Communicate complex technical concepts and findings tonon-technical stakeholders; • Collaborate with cross-functional teams tointegrate generativeAI solutions into existing workflow systems; • Research and stay uptodate onthe latest advancements ingenerativeAI technologies and methodologies; • Optimize and fine-tune generative models for performance and efficiency; • Troubleshoot and resolve issues related togenerativeAI models and implementations; • Create and maintain documentation for generativeAI models and their applications; • Deployment and monitoring ofMachine Learning models, with astrong focus ongenerativeAI and LLM-based agents; • Communicate complex technical concepts and findings tonon-technical stakeholders; • Design and Develop prototypes ofthe proposed systems incollaboration with appropriateIT practitioners and client Stake holders; • Evaluate new and alternate Tools &technologies and choose the appropriate Tool/technology for efficiency and quality deliverables; • Display ahigh degree ofconfidence and ability towork inambiguous situations; • Influence business decisions todrive resolutions tobusiness needs, and concerns byproviding recommendations and trade-offs; • Zeal for Continuous research and learning toattain in-depth knowledge ofCapabilities, Limitations, internal architecture, Working and Applications onabroad range oftrending tech stacks and present essential comparisons, pros/cons, and target use cases; • Assist leadership inbuilding/ upgrading reference Architectures, building new service Lines oradding tocapabilities onexisting service lines, ordesigning and Implementing programs toalign delivery teams tonew/ enhanced service offerings; • Ideate &Lead training programs tohelp Next Gen gain technical expertise. Requirements: • Minimum of5years ofprogramming experience inPython and SQL; • Atleast 3years ofexperience increatingAI solutions using Databricks (Certification isaplus); • Experience with generative AIframeworks, such asLlamaIndex and Langchain; • Familiarity with generativeAI models from OpenAI, Google, oropen-source alternatives (e.g., Llama, Claude, Hugging Face); • Proficiency indiverse data storage systems, including RDMS and NoSQL; • Expertise inutilizing major cloud platforms (Azure, AWS, GCP) for developing cloud-based solutions; • Understanding ofneural network architectures, such asGenerative Adversarial Networks (GANs) and Transformers; • Experience using TensorFlow, PyTorch, and Keras for designing, training, and validating AImodels; • Familiarity with CI/CD solutions inthe context ofMLOps and LLMOps, including automation with IaC (Biceps/Terraform); • Skills indata preprocessing and feature engineering forAI model training; • Knowledge ofdesigning and explaining data pipelines, MLpipelines, andML training and serving methodologies; • Experience indeployingML models using native infrastructure (e.g., Azure DevOps, Databricks) orthird-party MLOps platforms; • Understanding ofspecific domains orindustries and the application ofNLP/LLMsolutions; • Demonstrated innovative mindset and problem-solving abilities; • Awareness ofAI standards and the ability toassess and mitigate technology risks; • Excellent communication and presentation skills. Sphere offers acompetitive and rewarding salary and benefits package, aswell asanintellectually and creatively stimulating work environment, flexibility, and unique international travel opportunities.
Without experience
Want to get related jobs?
New job openings in your Telegram
Subscribe
We use cookies
accept