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2 Days ago

AI Engineer II

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Mumbai, Maharashtra, India
Information Technology
Full-Time
hackajob

Overview

hackajob is collaborating with American Express to connect them with exceptional tech professionals for this role.

At American Express, our culture is built on a 175-year history of innovation, shared values and Leadership Behaviors, and an unwavering commitment to back our customers, communities, and colleagues. As part of Team Amex, you'll experience this powerful backing with comprehensive support for your holistic well-being and many opportunities to learn new skills, develop as a leader, and grow your career.

Here, your voice and ideas matter, your work makes an impact, and together, you will help us define the future of American Express.

How will you make an impact in this role?

Responsibilities

  • Lead the Discovery, Development and Maintenance of scalable AI driven capabilities in the area of Document AI, Computer Vision, NLP, Chatbots (Conversational AI)
  • Research and Deploy AI and Gen AI solutions to power enterprise business needs
  • Partner with Research teams to take AI enabled initiatives from conceptualization to production
  • Create data pipelines that feed machine learning models throughout the model lifecycle including training, inference, HITL and re-training.
  • Closely follow research and open-source developments/publications and apply them.
  • Drive high-level and detailed technical design conversations and reviews
  • Function as an active member of an agile team

Qualifications:  

  • BS or MS degree in computer science, computer engineering, or other technical discipline.
  • 2-3 years of software development experience
  • Strong proficiency in Python language, machine learning libraries and SQL
  • Core competencies in distributed technologies including Python frameworks, API Design, Linux, JSON, Postgres, NoSQL databases etc.
  • Demonstrated experience in building and deploying a diverse set of ML models including vision and NLP based models at scale
  • Experience in designing and implementing highly scalable, low latency Python applications.
  • Familiarity with CI/CD pipelines and DevOps tools (Jenkins, GitLab).
  • Proficiency with Containers (Docker) and orchestration (Airflow, Kubernetes)
  • Practical knowledge of caching and distributed systems.
  • Team player and a hands-on engineer.
  • Ability to think abstractly and deal with ambiguous/under-defined problems.
  • Have excellent written and verbal communications skills.

Preferred Qualifications

  • Hands-on experience in GCP/AWS/Azure cloud is a preferred
  • Experience in deploying Gen AI use cases using Foundational LLMs and RAG pipelines
  • Experience in the Financial Services industry is a plus

Benefits

We back you with benefits that support your holistic well-being so you can be and deliver your best. This means caring for you and your loved ones' physical, financial, and mental health, as well as providing the flexibility you need to thrive personally and professionally:

  • Competitive base salaries
  • Bonus incentives
  • Support for financial-well-being and retirement
  • Comprehensive medical, dental, vision, life insurance, and disability benefits (depending on location)
  • Flexible working model with hybrid, onsite or virtual arrangements depending on role and business need
  • Generous paid parental leave policies (depending on your location)
  • Free access to global on-site wellness centers staffed with nurses and doctors (depending on location)
  • Free and confidential counseling support through our Healthy Minds program
  • Career development and training opportunities

American Express is an equal opportunity employer and makes employment decisions without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, veteran status, disability status, age, or any other status protected by law.

Offer of employment with American Express is conditioned upon the successful completion of a background verification check, subject to applicable laws and regulations.

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