Job Description

Job Summary –

Years of experience needed – 6- 8 year.

AI Engineer - build scaled AI solution including Gen AI

Experience with Gen AI/ AI techniques, Experience building and deploying AI solutions on AWS, In depth knowledge of AWS services and other products available to build, deploy and monitor Gen AI solutions

We are seeking a highly skilled Sr. AI Software Engineer Airlines AWS Data Architect to join our team as a key contributor in our data As AI Software Engineer , you will work on initiatives across the entire business; initiatives range from our complex global operation to the digital customer experience. We're looking for someone who is passionate about developing solutions for real-world, large-scale problems using Artificial Intelligence techniques including Generative AI, deep learning, machine learning, reinforecement learning, and CNNs. Airlines.

Technical Skills:

 3+ years of work/educational experience in Artificial Intelligence/Machine Learning

 Experience with Agile Software Development Lifecycles and DevOps/DevSecOps

 Development experience on AWS, AWS Sagemaker required

 Experience with one or more general purpose programming languages including but not limited to: Python, R, Scala, Spark

 Experience with one or more of the following: Natural Language Processing, sentiment analysis, classification, pattern recognition.

 Development experience with AI frameworks such as TensorFlow, Microsoft CNTK, scikit, Keras, Caffe, Gluon, Torch.

 Familiarity with GenAI technology stack, including frameworks for prompt engineering, guardrails for GenAI applications, and LLM fine-tuning

 Experience working with VectorDBs and other data infrastructure required to efficiently support Generative AI training pipelines and production applications

 Experience training and maintaining large language models

 Experience with production-grade development, integration and support

 Experience and familiarity presenting to technical and business audiences

 Where permitted by applicable law, must have received or be willing to receive the COVID-19 vaccine by date of hire to be considered for U.S.-based job.

 Position open to ATL and MSP offices

 A doer by default: You are self-motivated and take pride in building great experiences for users, whether they are employees or customers. You are resourceful in finding the data and tools you need to get the job done and have a bias for action.

 You enjoy working with people and can put yourself in other people's shoes. You're not afraid to ask for help when you need it or help teammates when they need a boost.

You believe in strong opinions, weakly held-- you're not afraid to change your opinion in the face of new facts and acknowledge what you don't know

Certifications Needed:

 NA

About Mphasis

Mphasis applies next-generation technology to help enterprises transform businesses globally. Customer centricity is foundational to Mphasis and is reflected in the Mphasis’ Front2Back™ Transformation approach. Front2Back™ uses the exponential power of cloud and cognitive to provide hyper-personalized (C=X2C2TM=1) digital experience to clients and their end customers. Mphasis’ Service Transformation approach helps ‘shrink the core’ through the application of digital technologies across legacy environments within an enterprise, enabling businesses to stay ahead in a changing world. Mphasis’ core reference architectures and tools, speed and innovation with domain expertise and specialization are key to building strong relationships with marquee clients.

Skills

PRIMARY COMPETENCY : Cognitive Services PRIMARY SKILL : AI/ML (Artificial Intelligence & Machine Learning) Algorithms PRIMARY SKILL PERCENTAGE : 70 SECONDARY COMPETENCY : Python SECONDARY SKILL : Python SECONDARY SKILL PERCENTAGE : 20 TERTIARY COMPETENCY : Cloud Apps TERTIARY SKILL : Amazon Web Services-Cloud platform TERTIARY SKILL PERCENTAGE : 10

Equal opportunity Employer:

Mphasis is an equal opportunity/affirmative action employer. We provide equal employment opportunities to applicants and existing associates and evaluate qualified candidates without regard to race, gender, national origin, ancestry, age, color, religious creed, marital status, genetic information, sexual orientation, gender identity, gender expression, sex (including pregnancy, breast feeding and related medical conditions), mental or physical disability, medical conditions military and veteran status or any other status or condition protected by applicable federal, state, or local laws, governmental regulations and executive orders.