Job Description

Description:
Responsibilities and Skills:
- 12+ years of overall experience with 4+ years of experience in architecting solutions
- Experience building Generative AI solutions using Open Source, popular PaaS (AWS, Azure, GCP etc.)
- Design algorithms and methodologies for prompt-based generative AI systems, focusing on improving output quality and efficiency.
- Offer guidance and insights to machine learning engineers and data scientists to refine prompt-driven AI solutions.
- Evaluate generative AI model outputs using established metrics and iterate on prompt designs to enhance results continually.
- Stay abreast of the latest advancements in generative AI and prompt engineering techniques.
- Conduct research to explore novel approaches, experimenting with emerging models and methodologies.Tech Qualifications:
- In-depth knowledge of generative models, especially in text and image generation.
- Strong understanding of natural language processing, semantic analysis, and contextual nuances in language.
- Experience with machine learning concepts, algorithms, and model evaluation techniques.
- Professional / Expert level of Solution Architect Certification from AWS/GCP/Azure is a plusAdditionally, please ask the candidates to provide a writeup on below parameters before you share their profile with the assessment team. The first screening will be done based on the profile of the candidate as per the criteria mentioned in the JD and the response to below parameters-
1. Provide details of your certification in cloud computing :
a. Do you have experience with Azure Native Services or any other Cloud Platform?
b. Please specify the certification(s) you possess.
2. Describe your experience in designing and implementing solutions on cloud platforms for enterprise-level projects.
3. Can you provide examples of cloud-based architectures you have designed for AI projects, including considerations for scalability, reliability, and cost optimization?
4. Describe your experience with using RAG (Retrieval Augmented Generation) model for solving a business problem. Is it in POC or Production stage?Requirements:
Responsibilities and Skills:
- 12+ years of overall experience with 4+ years of experience in architecting solutions
- Experience building Generative AI solutions using Open Source, popular PaaS (AWS, Azure, GCP etc.)
- Design algorithms and methodologies for prompt-based generative AI systems, focusing on improving output quality and efficiency.
- Offer guidance and insights to machine learning engineers and data scientists to refine prompt-driven AI solutions.
- Evaluate generative AI model outputs using established metrics and iterate on prompt designs to enhance results continually.
- Stay abreast of the latest advancements in generative AI and prompt engineering techniques.
- Conduct research to explore novel approaches, experimenting with emerging models and methodologies.Tech Qualifications:
- In-depth knowledge of generative models, especially in text and image generation.
- Strong understanding of natural language processing, semantic analysis, and contextual nuances in language.
- Experience with machine learning concepts, algorithms, and model evaluation techniques.
- Professional / Expert level of Solution Architect Certification from AWS/GCP/Azure is a plusAdditionally, please ask the candidates to provide a writeup on below parameters before you share their profile with the assessment team. The first screening will be done based on the profile of the candidate as per the criteria mentioned in the JD and the response to below parameters-
1. Provide details of your certification in cloud computing :
a. Do you have experience with Azure Native Services or any other Cloud Platform?
b. Please specify the certification(s) you possess.
2. Describe your experience in designing and implementing solutions on cloud platforms for enterprise-level projects.
3. Can you provide examples of cloud-based architectures you have designed for AI projects, including considerations for scalability, reliability, and cost optimization?
4. Describe your experience with using RAG (Retrieval Augmented Generation) model for solving a business problem. Is it in POC or Production stage?Job Responsibilities:
Responsibilities and Skills:
- 12+ years of overall experience with 4+ years of experience in architecting solutions
- Experience building Generative AI solutions using Open Source, popular PaaS (AWS, Azure, GCP etc.)
- Design algorithms and methodologies for prompt-based generative AI systems, focusing on improving output quality and efficiency.
- Offer guidance and insights to machine learning engineers and data scientists to refine prompt-driven AI solutions.
- Evaluate generative AI model outputs using established metrics and iterate on prompt designs to enhance results continually.
- Stay abreast of the latest advancements in generative AI and prompt engineering techniques.
- Conduct research to explore novel approaches, experimenting with emerging models and methodologies.Tech Qualifications:
- In-depth knowledge of generative models, especially in text and image generation.
- Strong understanding of natural language processing, semantic analysis, and contextual nuances in language.
- Experience with machine learning concepts, algorithms, and model evaluation techniques.
- Professional / Expert level of Solution Architect Certification from AWS/GCP/Azure is a plusAdditionally, please ask the candidates to provide a writeup on below parameters before you share their profile with the assessment team. The first screening will be done based on the profile of the candidate as per the criteria mentioned in the JD and the response to below parameters-
1. Provide details of your certification in cloud computing :
a. Do you have experience with Azure Native Services or any other Cloud Platform?
b. Please specify the certification(s) you possess.
2. Describe your experience in designing and implementing solutions on cloud platforms for enterprise-level projects.
3. Can you provide examples of cloud-based architectures you have designed for AI projects, including considerations for scalability, reliability, and cost optimization?
4. Describe your experience with using RAG (Retrieval Augmented Generation) model for solving a business problem. Is it in POC or Production stage?What We OfferExciting Projects: We focus on industries like High-Tech, communication, media, healthcare, retail and telecom. Our customer list is full of fantastic global brands and leaders who love what we build for them.Collaborative Environment: You Can expand your skills by collaborating with a diverse team of highly talented people in an open, laidback environment - or even abroad in one of our global centers or client facilities!Work-Life Balance: GlobalLogic prioritizes work-life balance, which is why we offer flexible work schedules, opportunities to work from home, and paid time off and holidays.Professional Development: Our dedicated Learning & Development team regularly organizes Communication skills training(GL Vantage, Toast Master),Stress Management program, professional certifications, and technical and soft skill trainings.Excellent Benefits: We provide our employees with competitive salaries, family medical insurance, Group Term Life Insurance, Group Personal Accident Insurance , NPS(National Pension Scheme ), Periodic health awareness program, extended maternity leave, annual performance bonuses, and referral bonuses.Fun Perks: We want you to love where you work, which is why we host sports events, cultural activities, offer food on subsidies rates, Corporate parties. Our vibrant offices also include dedicated GL Zones, rooftop decks and GL Club where you can drink coffee or tea with your colleagues over a game of table and offer discounts for popular stores and restaurants!About GlobalLogicGlobalLogic is a leader in digital engineering. We help brands across the globe design and build innovative products, platforms, and digital experiences for the modern world.By integrating experience design, complex engineering, and data expertise-we help our clients imagine what\'s possible, and accelerate their transition into tomorrow\'s digital businesses.Headquartered in Silicon Valley, GlobalLogic operates design studios and engineering centers around the world, extending our deep expertise to customers in the automotive, communications, financial services, healthcare and life sciences, manufacturing, media and entertainment, semiconductor, and technology industries.GlobalLogic is a Hitachi Group Company operating under Hitachi, Ltd. (TSE: 6501) which contributes to a sustainable society with a higher quality of life by driving innovation through data and technology as the Social Innovation Business.

Hitachi