AI/ML Engineer

Description

Join to apply for the AI/ML Engineer- Python and RAG role at Infosys

Join to apply for the AI/ML Engineer- Python and RAG role at Infosys

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Job Description

Infosys is seeking an

Job Description

Infosys is seeking an AI ML Engineer with strong background in designing and deploying Machine Learning models using Python. Ideal candidate will work with clients to understand the issues they face, diagnose problems, design solutions and facilitate solution deployment on Cloud Platform. One will also have the opportunity to shape value-adding consulting solutions for clients by connecting various functions of cloud components. Ideally the candidate uses understanding of the problem to arrive at multiple solution alternatives keeping in mind the various stakeholders and assess the pros and cons of all the alternatives to arrive at the optimal solution.

Required Qualifications

• Bachelor’s degree or foreign equivalent required from an accredited institution. Will also consider three years of progressive experience in the specialty in lieu of every year of education.
• All applicants authorized to work in the United States are encouraged to apply.
• Candidate must live within commuting distance of Richardson, TX, Raleigh, NC, Tempe, AZ, Hartford, CT, Indianapolis, IN, or be willing to relocate. Travel within the US may be required.
• At least 4 years of experience in Information Technology
• At least 4 years of experience in developing programs/APIs using Python/Pyspark
• At least 4 years of experience in Data Science , ML, NLP, Deep Learning, Transform Models,
• At least 4 years of experience in Machine Learning Model development life cycle, software engineering principles, data engineering principles
• At least 2 years of experience in Vector Databases such as Pinecone and Chroma
• At least 2 years of experience in Generative AI and LLMs, specifically with Mistral, Llama, RAG, and GPT technologies

Preferred Qualifications:

• Experience in ML Ops, Model Monitoring, Performance optimization.
• Experience in Load Balancing, GPU based processing, Performance Optimization
• Experience in developing of API on Azure/GCP/Azure/API Gateways
• Familiarity with DevOps practices, CI/CD pipelines, and automation tools in AI-ML contexts.
• Excellent problem-solving skills and ability to address complex technical challenges.
• Effective communication skills to collaborate with cross-functional teams and stakeholders.
• High Impact client communication
• Domain experience in Banking, Finance, Capital Markets

The job may entail extensive travel. The job may also entail sitting as well as working at a computer for extended periods of time. Candidates should be able to effectively communicate by telephone, email, and face to face.

About Us

Infosys is a global leader in next-generation digital services and consulting. We enable clients in more than 50 countries to navigate their digital transformation. With over four decades of experience in managing the systems and workings of global enterprises, we expertly steer our clients through their digital journey. We do it by enabling the enterprise with an AI-powered core that helps prioritize the execution of change. We also empower the business with agile digital at scale to deliver unprecedented levels of performance and customer delight. Our always-on learning agenda drives their continuous improvement through building and transferring digital skills, expertise, and ideas from our innovation ecosystem.

Infosys provides equal employment opportunities to applicants and employees without regard to race; color; sex; gender identity; sexual orientation; religious practices and observances; national origin; pregnancy, childbirth, or related medical conditions; status as a protected veteran or spouse/family member of a protected veteran; or disability.

Seniority level

• Seniority level

  Mid-Senior level

Employment type

• Employment type

  Full-time

Job function

• Job function

  Engineering and Information Technology

• Industries

  IT Services and IT Consulting

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