Job Description

:Job description We are Technology company building new products to solve industries problems specifically in Construction & utilities. Our mission is to enhance customer experience, streamline operations, and drive growth. We're seeking a highly skilled Senior Machine Learning Engineer to join our passionate team and contribute to the development of cutting-edge CV & speech models, leveraging advanced techniques. As a Senior Machine Learning Engineer specializing in Conversational AI, you will play a pivotal role in architecting, developing, and deploying state-of-the-art models to power our conversational AI product suite. You will collaborate closely with cross-functional teams including product managers, software engineers, and data scientists to ensure the seamless integration of machine learning capabilities into our solutions.Responsibilities \xef\xbf\xbd\xef\xbf\xbd\xef\xbf\xbd In this role, you will join a team of computer vision and machine learning engineers to discover and build solutions to previously-unsolved challenges and push the state of the art for global audience You will collaborate with cross-functional teams of business SMEs, engineers, data scientists, designers, and researchers, have deep expertise in both practical and theoretical aspects of 3D Computer Vision algorithms This includes proficiency in generative models, 3D reconstruction, multi-modal models, pose estimation, or tracking This role is exceptionally technical, and will require you to actively engage in all aspects of the work, from conceptualization and theoretical considerations to design, coding, and implementation You\'ll be working in a team of computer vision and machine learning engineers to prototype and ship world class algorithms that pushes the state of the art Turn prototypes into automation pipelines and deploying them to production Deciding when to use out-of-the-box solutions vs. building custom solutions and utilizing both Ongoing data analysis to build new or fine-tune existing CV models & classes to optimize results Labeling (using automatic techniques) and fine tuning newly acquired data and existing models for optimized performance. Using semantic search, summarization & embedding for LLM/RAG powered applications. Partner closely with other data scientists to implement these models in our production environment to enable product features for worldwide audience Communicate results of analyses to business partners and executives Maintain expertise in the latest advancements in AI technology Partner with your team members to prepare presentations, papers, and patents for your inventions Qualifications 5+ years building NLP/AI software professionally and successfully releasing to customers 5+ years of industry experience in CVML and an advanced degree (Ph.D./M.S) in Data Science or similar field A strong track record of shipping products and publications / patents Strong experience in Computer Vision algorithms Experience with state-of-the-art NLP/NLU algorithms and AI models, Multi-modal LLMs, Multi-modal contrastive learning, Foundation models, Diffusion based models Experience in machine learning, preferably in 2D & 3D computer vision applications Solid foundation in 3D geometry and linear algebra Strong understanding of Python, and related machine learning tools (e.g TensorFlow, PyTorch, NLTK, spaCy,Keras) \xef\xbf\xbd\xef\xbf\xbd\xef\xbf\xbd Experience with a variety of systems, such as image recognition, machine learning, Edge AI, networking and communication, deeplearning, artificial intelligence, advanced computing, image annotation, data science, and image/video segmentation. Experience with human factors, especially eye tracking and human input interaction Experience in Generative AI for faster & optimized AI application processing. Excellent presentation, written and verbal communication, engagement and interpersonal skills along with validated skills in building great design \xef\xbf\xbd\xef\xbf\xbd\xef\xbf\xbd Experience with OCI/AWS and related services is desirable.Career Level - IC3Responsibilities:Responsibilities

• In this role, you will join a team of computer vision and machine learning engineers to discover and build solutions to previously-unsolved challenges and push the state of the art for global audience
• You will collaborate with cross-functional teams of business SMEs, engineers, data scientists, designers, and researchers, have deep expertise in both practical and theoretical aspects of 3D Computer Vision algorithms
• This includes proficiency in generative models, 3D reconstruction, multi-modal models, pose estimation, or tracking
• This role is exceptionally technical, and will require you to actively engage in all aspects of the work, from conceptualization and theoretical considerations to design, coding, and implementation
• You\'ll be working in a team of computer vision and machine learning engineers to prototype and ship world class algorithms that pushes the state of the art
• Turn prototypes into automation pipelines and deploying them to production
• Deciding when to use out-of-the-box solutions vs. building custom solutions and utilizing both
• Ongoing data analysis to build new or fine-tune existing CV models & classes to optimize results
• Labeling (using automatic techniques) and fine tuning newly acquired data and existing models for optimized performance.
• Using semantic search, summarization & embedding for LLM/RAG powered applications.
• Partner closely with other data scientists to implement these models in our production environment to enable product features for worldwide audience
• Communicate results of analyses to business partners and executives
• Maintain expertise in the latest advancements in AI technology
• Partner with your team members to prepare presentations, papers, and patents for your inventions

Qualifications

• 5+ years building NLP/AI software professionally and successfully releasing to customers
• 5+ years of industry experience in CVML and an advanced degree (Ph.D./M.S) in Data Science or similar field
• A strong track record of shipping products and publications / patents
• Strong experience in Computer Vision algorithms
• Experience with state-of-the-art NLP/NLU algorithms and AI models, Multi-modal LLMs, Multi-modal contrastive learning, Foundation models, Diffusion based models
• Experience in machine learning, preferably in 2D & 3D computer vision applications
• Solid foundation in 3D geometry and linear algebra
• Strong understanding of Python, and related machine learning tools (e.g TensorFlow, PyTorch, NLTK, spaCy,Keras)
• Experience with a variety of systems, such as image recognition, machine learning, Edge AI, networking and communication, deeplearning, artificial intelligence, advanced computing, image annotation, data science, and image/video segmentation.
• Experience with human factors, especially eye tracking and human input interaction
• Experience in Generative AI for faster & optimized AI application processing.
• Excellent presentation, written and verbal communication, engagement and interpersonal skills along with validated skills in building great design
• Experience with OCI/AWS and related services is desirable.

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