Python with ML/AI - Digital Engineering Lead Engineer

NTT DATA; United States; Remote; USD 80,000 - 130,000; Full time

Job summary

Join a forward-thinking organization as a Python with ML/AI Lead Engineer, where you will architect innovative solutions in the supply chain domain. This role involves collaborating with talented data scientists and stakeholders to design and implement cutting-edge AI/ML solutions. You will have the opportunity to work on impactful projects that drive business decisions and enhance customer experiences. If you are passionate about technology and eager to grow in a dynamic environment, this is the perfect opportunity for you!

Qualifications

• 3-6 years of experience in software development with a focus on AI/ML.
• Hands-on development skills with architecture/design experience.

Responsibilities

• Architecting and developing solutions for supply chain problems.
• Collaborating with data scientists and stakeholders to develop POCs.

Skills

Machine Learning

Python

AI/ML Solutions Design

API Management

Education

Bachelor's degree in STEM

Job description

Req ID:309479

NTT DATA strives to hire exceptional, innovative and passionate individuals who want to grow with us. If you want to be part of an inclusive, adaptable, and forward-thinking organization, apply now.

We are currently seeking a Python with ML/AI - Digital Engineering Lead Engineer to join our team in Remote, Karnātaka (IN-KA), India (IN).

About Blue Yonder

Blue Yonder is the world leader in digital supply chain and omni-channel commerce fulfillment. Our intelligent, end-to-end platform enables retailers, manufacturers and logistics providers to seamlessly predict, pivot and fulfill customer demand. With Blue Yonder, you can make more automated, profitable business decisions that deliver greater growth and re-imagined customer experiences.

Blue Yonder's tagline Fulfill Your Potential reflects the company's mission to empower every organization and person on the planet to fulfill their potential. Each day, our global teams of associates and business partners work together to accelerate global economic growth, increase sustainability and prosperity with a Sonoran Spirit.

Notes From client:

GenAI- Review and optimization of LLMs output, Learn the AI Models, RAG based model Learning

Job Description

• Machine Learning
• LLM
• Python

Responsibilities:

• Architecting, designing, and developing (along with counterparts and distinguished Architects) solutions for new and existing problems in the supply chain space.
• Work closely with a team of data scientists and collaborate with stakeholders from application teams to research solutions, identify go-forward approaches, develop POCs, and determine final solutions.

Requirements:

• Bachelor's degree (STEM preferred) and minimum 3-6 years of experience in Software development; ideally a candidate that has started as a Software Engineer and has been working in the data science, AI/ML space for at least 3-6 years.
• Demonstrated ability to identify and design solutions using AI/ML.
• Hands-on development skills along with architecture/design experience; should not have moved away from software development.
• Experience with API management platforms and providing/consuming RESTful APIs.

About NTT DATA

NTT DATA is a $30 billion trusted global innovator of business and technology services. We serve 75% of the Fortune Global 100 and are committed to helping clients innovate, optimize and transform for long term success. As a Global Top Employer, we have diverse experts in more than 50 countries and a robust partner ecosystem of established and start-up companies.Our services include business and technology consulting, data and artificial intelligence, industry solutions, as well as the development, implementation and management of applications, infrastructure and connectivity. We are one of the leading providers of digital and AI infrastructure in the world. NTT DATA is a part of NTT Group, which invests over $3.6 billion each year in R&D to help organizations and society move confidently and sustainably into the digital future. Visit us atus.nttdata.com

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