AI/ML Engineer building data science and AI solutions for Pharma and MedTech clients on Azure. Collaborating with teams to deliver end - to - end machine learning projects.
About the role
- Senior Machine Learning Engineer for Toyota Connected developing state-of-the-art solutions for in-vehicle Voice Assistants. Collaborating with teams and mentoring junior members to drive innovation in machine learning technology.
Responsibilities
- Use machine learning & deep learning techniques to design & develop the next-generation in-vehicle Voice Assistant, and perform R&D to drive discovery of new generation products
- Establish scalable, efficient, automated processes for large scale data analysis, MLOps, model development, model validation and model implementation
- Design & Implement model architectures destined for both the edge and the cloud, optimizing for OTA updates and performance on an embedded device
- Leverage new-age multimodal (text + image) LLM capabilities to support novel product features
- Drive adoption of best practices across organizations
- Write maintainable, extensible, tested code, while complying with coding standards
- Work with Product Owners to define the KPIs for machine learning projects
- Mentor, guide, and train more junior team members
- Stay abreast of developments in research methodology and changing technologies in the marketplace and proactively identify applications of these latest developments to improve existing methods
- Prepare and present findings to both technical and non-technical audiences
- Work within the constraints of time, budget, and resources capacities to align with Toyota’s global vision
- Develop and foster collaborative relationships with product, business, and engineering teams to effectively serve our customer needs
Requirements
- 5+ years of hands-on experience in Machine Learning in a corporate environment
- Experience programming in Python
- Production Experience with Deep Learning using Tensorflow, PyTorch, or JAX
- Experience with NLP
- Experience operationalizing LLMs in production
- Familiar with algorithm design and complexity analysis
- Experience in designing and implementing Machine Learning pipelines in production environments
- Strong decision-making skills with the ability to analyze data, assess risks, and implement effective solutions in a fast-paced environment
- Problem-solving skills with the ability to identify challenges, develop creative solutions, and implement effective strategies
- Proven ability to learn and apply new technologies, programming practices, patterns, and methods
- Experience collaborating effectively with cross-functional teams, including developers, designers, and product owners
- Experience taking ownership of assigned projects and tasks, proactively driving them to completion while ensuring accountability for quality and deadlines.
- Results-driven with a strong track record of setting goals, executing strategies, and delivering measurable outcomes
Benefits
- A Career Path that allows you to take your career to the next level.
- Annual $2,500 Training Budget to help you grow and develop your professional skills.
- Unlimited time off and flexibility for a great work-life balance. At TC you'll be treated like the professional we know you are and left to manage your own time and workload.
- Home office stipend of $1,000 to help furnish an ergonomic remote office.
- Four months of paid parental leave. We want new moms and dads to have an opportunity to bond with their new little bundles of joy.
- Adoption Assistance of $5,000 for regular adoptions or $6,000 for special needs. We know adoption costs can add up, and we want to help.
- 401(k) with generous company match that is fully vested day one.
- Toyota and Lexus vehicle discounts allow you to drive in style.
- Generous vehicle allowance for new and leased Toyota and Lexus vehicles. Scratch that vehicle payment off your monthly bills!
- Annual Hackathon to embrace your superior creative thinking ability.
- Annual Wellness Stipend of $1000 to help balance your overall mental and physical health.
- Free catered lunches when working onsite. We try to keep it healthy, but Fridays are “cheat” days, so you can get your carbs on!
- Two fully stocked Nespresso bars for your coffee and tea fix.
- No dress code! Come as you are. We know the smart people we hire don’t need to be told what to wear.
- Free covered garage parking to shield your vehicle from those sneaky storms and to protect your buns from the Texas sun.
Job title
Job type
Experience level
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Degree requirement
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Tech skills
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