Sales - AI Architect, LLM & Gen AI

Key Skills

Aartificial intelligence, Apache Kafka, AWS, Azure, Big Data Technology, Effective communication skills, Generative AI, Google Cloud Platform (GCP), Grafana, Large Language Models - LLMs, PyTorch, Sales, SPARK Programming, TensorFlow

Job Description

In this role, you will focus on the following key areas:

• You’ll be working in a team of machine learning engineers of different specializations to prototype and ship world class algorithms that are state of the art.

• Lead the exploration and application of Large Language Models and Generative AI, venturing into new areas within these fields, including multi modal capabilities.

• Lead MLOps, automating ML pipeline, including the training, testing, deployment, monitoring, and scaling of AI models.

• 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 models such as GPT to optimize results.

• Partner closely with software engineers to implement these models into high-performing systems and models in our production environment that can be applied to create amazing experience for our worldwide audience.

• Actively engaging in all aspects of model development, from ideation and experimentation to deployment.

• Communicate results of analyses to business partners and executives.

• Maintain expertise in the latest advancements in AI technology. Partnering with your team members to prepare presentations, papers, and patents for your inventions.

Minimum Qualifications

• Ph.D. in Computer Science, Artificial Intelligence, Machine Learning or related field; or
• M.S. in related field with 3+ years experience applying machine learning engineer to real business problems.
• Experience in identifying and delivering state-of-the-art product architecture for our end to end solutions.
• 5+ years building NLP/AI software professionally and successfully releasing to customers.
• 5+ years of hands-on experience in building scalable systems for training & evaluating of machine learning/deep learning models.
• Experience with state-of-the-art NLP algorithms and AI models, Multi-modal LLMs, Multi-modal contrastive learning, Foundation models, Diffusion based models and parameter efficient fine tuning of LLMs.
• Experience with Cloud technologies and familiarity with AWS & GCP.

Preferred Qualifications

• Familiarity with deploying model for large scale inferencing & optimizations.
• Solid understanding of inference speed up techniques such as speculative decoding and optimization of LLMs for human preferences.
• A strong track record of shipping products and publications / patents.
• Proactively address and reduce potential biases in model predictions, ensuring our products are inclusive and fair.
• Design and implement efficient data pipelines to support large language model training and inference.
• Strong proficiency in PyTorch, TensorFlow, Transformers, Kubernetes, Docker, LangChain, vectorDB and cloud platforms like AWS, GCP, or Azure, and Monitoring tool like Grafana, and CI/CD like airflow, gitlab, and Big Data management like Spark, Kafka.
• A thought leader having a good balance of business insight, domain and technical expertise.
• Excellent presentation, written and verbal communication, engagement and interpersonal skills along with validated skills in building great design.