Machine Learning Engineer, Trilogy (Remote) - $60,000/year USD
Location
Pimpri | India
Job description
Crossover is the world's #1 source of full-time remote jobs. Our clients offer top-tier pay for top-tier talent. We're recruiting this role for our client, Trilogy. Have you got what it takes
Ready to leverage your mastery of LLMs to drive productivity At Trilogy, we're opening doors to an exceptional tech career, welcoming those who've honed their AI skills to elevate their expertise in a dynamic environment. We're offering a rare chance where your primary focus will be to further expand your proficiency in LLMs.
In an industry often filled with more buzzwords than tangible progress, Trilogy stands out as a hub of genuine innovation. Our focus is on practical, real-world applications aimed at reshaping industries. Imagine creating AI-driven tools that streamline workflow, automate tasks, or enhance decision-making processes, all to significantly boost productivity.
Your mandate Harnessing LLMs to revolutionize how businesses operate, improving efficiency and effectiveness. You'll be architecting solutions that integrate AI seamlessly, making intricate processes more accessible and refining workflows for maximum output.
Here, you won't be lost in bureaucratic hurdles or pitching ideas into the void. Instead, you'll witness the direct impact of your efforts, as your work directly influences the evolution of productivity tools.
Ready to unleash your expertise and become a force of change Let's explore if you're the catalyst we're seeking for this exciting opportunity!
What You Will Be Doing - Rapidly advancing your AI expertise through specialized training and applying this knowledge to create autonomous, AI-driven educational platforms and tools
- Experimenting with state-of-the-art AI tools like GPT-4 Vision and Amazon CodeWhisperer, integrating them into our developmental process to assess and enhance their utility
- Evaluating and optimizing the implementation of AI solutions across various infrastructures, including AWS, to ensure seamless performance and integration
What You Won't Be Doing - Traditional coding - our AI does the heavy lifting, freeing you to innovate and strategize
- Being stuck on repetitive tasks - no two problems are the same
Machine Learning Engineer Key Responsibilities Architecting and deploying sophisticated, fully-automated AI systems that require zero human intervention for a truly scalable impact
Basic Requirements - Professional experience leveraging LLMs, such as ChatGPT, Bing, Bard, or Claude, to automate manual tasks and boost your company's productivity
- Advanced proficiency in Python
About Trilogy Hundreds of software businesses run on the Trilogy Business Platform. For three decades, Trilogy has been known for 3 things: Relentlessly seeking top talent, Innovating new technology, and incubating new businesses. Our technological innovation is spearheaded by a passion for simple customer-facing designs. Our incubation of new businesses ranges from entirely new moon-shot ideas to rearchitecting existing projects for today's modern cloud-based stack. Trilogy is a place where you can be surrounded with great people, be proud of doing great work, and grow your career by leaps and bounds.
There is so much to cover for this exciting role, and space here is limited. Hit the Apply button if you found this interesting and want to learn more. We look forward to meeting you!
Working with Crossover This is a full-time (40 hours per week), long-term position. The position is immediately available and requires entering into an independent contractor agreement with Crossover. The compensation level for this role is $30 USD/hour, which equates to $60,000 USD/year assuming 40 hours per week and 50 weeks per year. The payment period is weekly. Consult for more details on this topic.
What to expect next: - You will receive an email with a link to start your self-paced, online job application.
- Our hiring platform will guide you through a series of online 'screening' assessments to check for basic job fit, job-related skills, and finally a few real-world job-specific assignments.
Important! If you do not receive an email from us:
- First, emails may take up to 15 minutes to send, refresh and check again.
- Second, check your spam and junk folders for an email from Crossover.com, mark as 'Not Spam' since you will receive other emails as well.
- Third, we will send to whatever email account you indicated on the Apply form - by default, that is the email address you use as your LinkedIn username and it might be different than the one you have already checked.
- If all else fails, just reset your password by visiting if you already applied using LinkedIn EasyApply.
Crossover Job Code: LJ-5105-IN-Pune/Pim-MachineLearnin
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