Are you a bright & passionate Machine Learning Specialist looking for an opportunity to advance your career
If you are a team player who strives for engineering and technical excellence and enjoys in bringing innovation in a fast paced environment, we have a perfect job for you!
We are looking for a Senior AI Engineer to join our dream team [AI/GenAI Solutions Team]!
We offer excellent development prospects, the ability to develop your skills to the highest level and be compensated with a competitive salary and fantastic benefits package.
Responsibilities
- - Design and develop machine learning algorithms.
- - Design, develop, and deploy AI models and algorithms, including large language models (LLMs) and conversational agents.
- Lead the development of production-ready AI/ML models and algorithms
- Optimize existing ML models for improved performance and scalability
- Collaborate with data scientists and engineers to productionize ML solutions
- Mentor junior team members and provide technical guidance
- Establish best practices for ML development and deployment
- Drive technical decision-making for AI/ML infrastructure
- Create and maintain documentation for ML systems and processes
- Evaluate and implement new ML technologies and frameworks
- Present technical findings to stakeholders and leadership
- Provide technical support for program management and business development activities including proposal writing and customer development
- Implement techniques to enhance the performance of AI systems, focusing on scalability, cost, and efficiency.
- Prepare, transform, and validate data to support AI/ML model training and deployment.
Must Have
- Proven 5+ years of hands-on AI/ML engineering experience, including direct model training, fine-tuning, and deployment.
- Bachelor's or master's degree in computer science, Data Science, or related field.
- Programming Languages: Python, Java, C++
- ML Frameworks: TensorFlow, PyTorch, Scikit-learn
- Cloud Platforms: AWS SageMaker, Azure ML, Google AI Platform
- Big Data: Spark, Hadoop, Kafka
- MLOps: Kubeflow, MLflow, DVC
- Databases: MongoDB, PostgreSQL, Redis
- Version Control & CI/CD: Git, Jenkins, Docker
- Strong expertise in Python programming and ML/LLM frameworks (Hugging Face, LangChain, Scikit-learn, PyTorch, TensorFlow).
- Proven ability to build and deploy inference endpoints and APIs for AI/ML workloads.
- Proven track record of deploying AI solutions in production environments.
- Practical understanding of LLM evaluation methods (prompt testing, bias/toxicity detection, response consistency).
- Strong problem-solving skills and ability to debug real-world AI/LLM issues in production.
- Outstanding problem solving and analytical skills
- Attention to detail
Job Complexity
Personal Evolution:
Job Security
Variability of the Job:
Overachieving Possibilities
Team / Company Size:
100 / 120 people
Avg Deal Size
Sales Cycle:
Company Growth
50% YoY
Company Maturity
Profitable
Benefits
Healthcare, dental, vision, life insurance, Flexible Spending Account (FSA), Health Savings Account (HSA)
PTOs
Vacation, Sick, and paid leaves
Save on commute
Pre-tax commuter benefitsbr
(parking and transit)
Discount Programs
Brand-name product and services in categories like travel, electronics, health, fitness, cellular, and more
Prime location
Only a couple blocs from BART, Caltrain, Highway 101, carpool pickup, and Bay Bridge.
Sponsored Events
Tuesday Dinners, Monthly Lunch Mixers, Monthly Happy Hour, Annual day event
Sport Activity
Play any sport with colleagues and the bill is covered
Eat & Drink
Peet's and Philz coffee provided all day to order and pantry snacks
