Aws AI Engineer

1 month ago


New York, United States Synechron Inc. Full time
We are

At Synechron, we believe in the power of digital to transform businesses for the better. Our global consulting firm combines creativity and innovative technology to deliver industry-leading digital solutions. Synechron's progressive technologies and optimization strategies span end-to-end Artificial Intelligence, Consulting, Digital, Cloud & DevOps, Data, and Software Engineering, servicing an array of noteworthy financial services and technology firms. Through research and development initiatives in our FinLabs we develop solutions for modernization, from Artificial Intelligence and Blockchain to Data Science models, Digital Underwriting, mobile-first applications and more. Over the last 20+ years, our company has been honored with multiple employer awards, recognizing our commitment to our talented teams. With top clients to boast about, Synechron has a global workforce of 14,000+, and has 55 offices in 20 countries within key global markets.

Our challenge

The candidate should demonstrate a strong blend of technical skill and industry knowledge and exhibit excellent communication, teamwork, customer service, and leadership qualities to effectively engage with cloud engineering, information security, and line of business teams. Given the collaborative requirements of this position, it is essential that the candidate possesses advanced Gen AI/AWS/technical skills alongside strong interpersonal abilities.

Additional Information*

The base salary for this position will vary based on geography and other factors. In accordance with law, the base salary for this role if filled within New York, NY is $130k - $145k/year & benefits (see below).

The Role

Responsibilities :
  • Translate the business requirements for AI applications into viable AI solutions within AWS
  • Select appropriate AWS technologies, considering deployment models and their seamless integration with existing tools
  • Partner with Enterprise Architecture, Application Development, and Business teams to design pilot projects and develop production-ready solutions
  • Gather feedback from diverse stakeholders to ensure that the technical implementation aligns with both current and future AI requirements
  • Work closely with security and risk leaders to foresee and mitigate risks, ensuring ethical AI usage and compliance
  • Gain an understanding of and contribute to LLM operations, focusing on the infrastructure and operational capabilities required to deploy AWS AI solutions
  • Develop tools and capabilities that support data ingestion, feature engineering, data management, and organization
  • Integrate security best practices into solutions to facilitate streamlined CI/CD pipelines for deployment and secure software delivery
Requirements:

You are:
  • At least 5 years of experience in implementing cloud-based AI workloads on AWS, delivering production grade solutions
  • Bachelor's Degree in any of Computer Science, Statistics, Data Science or a related field
  • Generative AI, Deep Learning, Machine learning, LLMOps
  • LLM Experience in prompting & finetuning in GPT3.5/Turbo, GPT-4/4o is a must. Experience in other LLMs would be a plus.
  • Certifications in AI/ML technologies and Cloud platforms, such as AWS AI Practitioner.
  • Certification in AWS Solutions Architect and other cloud platforms e.g. AWS, Google would be a plus.
  • Programing experience in one of the languages - Python, R, Java, C#
  • Experience in CI/CD Tools Bitbucket, Terraform is a must.
  • Experience gathering non-functional requirements, performing designed and validated application architecture frameworks, and executing functional, stress and performance testing
  • Strong knowledge of business analysis, requirement gathering, and gap analysis
  • Strong communication, presentation, and interpersonal skills
  • Fast learner, individual as well as a team player and can work under pressure
We can offer you:
  • A highly competitive compensation and benefits package
  • A multinational organization with 55 offices in 20 countries and the possibility to work abroad
  • Laptop and a mobile phone
  • 10 days of paid annual leave (plus sick leave and national holidays)
  • Maternity & Paternity leave plans
  • A comprehensive insurance plan including: medical, dental, vision, life insurance, and long-/short-term disability (plans vary by region)
  • Retirement savings plans
  • A higher education certification policy
  • Commuter benefits (varies by region)
  • Extensive training opportunities, focused on skills, substantive knowledge, and personal development.
  • On-demand Udemy for Business for all Synechron employees with free access to more than 5000 curated courses
  • Coaching opportunities with experienced colleagues from our Financial Innovation Labs (FinLabs) and Center of Excellences (CoE) groups
  • Cutting edge projects at the world's leading tier-one banks, financial institutions and insurance firms
  • A flat and approachable organization
  • A truly diverse, fun-loving and global work culture
S- YNECHRON'S DIVERSITY & INCLUSION STATEMENT

Diversity & Inclusion are fundamental to our culture, and Synechron is proud to be an equal opportunity workplace and is an affirmative action employer. Our Diversity, Equity, and Inclusion (DEI) initiative 'Same Difference' is committed to fostering an inclusive culture - promoting equality, diversity and an environment that is respectful to all. We strongly believe that a diverse workforce helps build stronger, successful businesses as a global company. We encourage applicants from across diverse backgrounds, race, ethnicities, religion, age, marital status, gender, sexual orientations, or disabilities to apply. We empower our global workforce by offering flexible workplace arrangements, mentoring, internal mobility, learning and development programs, and more.

All employment decisions at Synechron are based on business needs, job requirements and individual qualifications, without regard to the applicant's gender, gender identity, sexual orientation, race, ethnicity, disabled or veteran status, or any other characteristic protected by law .

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