472 Genai Jobs - Page 8

Roles and Responsibilities Design, develop, and maintain large-scale data pipelines using GENAI platform on AWS cloud. Collaborate with cross-functional teams to gather requirements and deliver high-quality ETL solutions. Develop complex SQL queries to extract insights from structured and unstructured data sources. Ensure seamless integration of AI models into existing systems through effective communication with stakeholders. Troubleshoot issues related to data quality, performance, and scalability in real-time. Desired Candidate Profile 5-10 years of experience in Data Engineering with expertise in AI knowledge (preferably). Bachelor's degree in BCA or B.Sc (Any Specialization) required; Master's degree preferred. Strong proficiency in working with ETL tools such as GENAI platform on AWS cloud. Excellent understanding of SQL programming language for querying large datasets.

As a top-tier AI Consulting Leader, you will leverage your deep understanding of AI technologies to engage with C-suite executives and drive strategic AI-led transformations. You will play a pivotal role in bridging the gap between cutting-edge AI advancements and real-world business impact, assisting enterprise customers in unlocking value from AI. Your key responsibilities will include serving as a trusted advisor to CXOs, guiding them through AI-driven business transformation initiatives. You will lead high-impact AI strategy discussions, aligning AI adoption with business objectives and influencing AI investments by articulating ROI, relevant use cases, and long-term benefits. Staying at the forefront of Generative AI, Agentic AI, Machine Learning (ML), and emerging AI trends will be crucial. You will shape AI roadmaps for customers by defining scalable and responsible AI adoption strategies. Additionally, you will represent the organization in industry forums, analyst discussions, and executive briefings. Collaborating closely with internal teams, you will design and propose AI-powered solutions. Your role will involve identifying and defining high-value AI use cases across various industries, with a focus on Retail, Consumer Packaged Goods (CPG), Manufacturing, Banking, Financial Services, and Insurance (BFSI), and Healthcare sectors. Ensuring that AI solutions are practical, scalable, and aligned with customer objectives will be imperative. Driving AI-led consulting engagements and pre-sales initiatives will contribute to business and revenue growth. You will partner with Sales, Delivery, and Product teams to develop distinctive AI offerings and support AI business development and go-to-market strategies. Engaging with AI engineers, data scientists, and business leaders will be essential to co-create impactful AI-driven solutions. You will ensure that AI governance, ethics, and compliance are integrated into all discussions and collaborate with hyperscalers, technology partners, and ecosystem players to accelerate AI adoption. To excel in this role, you should possess 10-15 years of experience in AI, consulting, or enterprise technology leadership. A strong knowledge of various AI frameworks like Generative AI, ML, NLP, and Agentic AI is required. Your ability to conduct boardroom-level discussions and influence CXO decision-making will be crucial, along with translating complex AI technology into business value and strategy. Furthermore, a deep understanding of AI adoption challenges, data strategy, and enterprise AI scaling is necessary. Strong executive presence, storytelling abilities, and stakeholder management skills are essential. Experience in pre-sales, business consulting, and AI roadmap development will be beneficial, as well as exposure to multiple industries such as Retail, CPG, Manufacturing, BFSI, among others. Preferred qualifications include prior experience in top consulting firms or AI-focused roles in global IT services firms, exposure to AI-first product startups or digital transformation programs, and a strong network with industry leaders, analysts, and AI influencers.,

Were Hiring | Python Developer – Generative AI Location: Pune/Hyderabad Experience: 4–5 Years Join Us at the Cutting Edge of AI Innovation! Are you passionate about building products powered by Generative AI and LLMs? Do you enjoy working with cutting-edge tools like OpenAI, LangChain, and vector databases to bring AI ideas to life? We’re looking for a Python Developer (GenAI) who is ready to innovate, collaborate, and help us scale real-world AI solutions from prototype to production. Key Responsibilities: • Build scalable Python applications leveraging LLMs, prompt engineering, and RAG pipelines • Develop REST APIs using FastAPI/Flask for GenAI applications • Collaborate across teams to deploy LLM-powered tools (chatbots, assistants, summarizers) • Work with frameworks like LangChain, Hugging Face, and vector DBs like Pinecone, FAISS • Write clean, modular code with performance optimization in mind Skills We’re Looking For: • 4–5 years in Python development • Proven experience building LLM-based applications • Familiarity with OpenAI, Anthropic, Hugging Face, LangChain • Strong knowledge of REST APIs, microservices, and prompt engineering • Exposure to Git, CI/CD workflows, and agile environments Nice-to-Have: • Cloud exposure (AWS, Azure, GCP) • Experience with Docker/Kubernetes • Understanding of RAG pipelines, semantic search, or fine-tuning models Interested or know someone who fits? Drop your resume or referrals in the comments or send us a message! Thanks Dan - Dan@therxcloud.com

Hi, Wishes from GSN!!! Pleasure connecting with you!!! We been into Corporate Search Services for Identifying & Bringing in Stellar Talented Professionals for our reputed IT / Non-IT clients in India. We have been successfully providing results to various potential needs of our clients for the last 20 years. At present, GSN is one of our leading MNC client. PFB the details for your better understanding: WORK LOCATION: Bangalore Job Role: Python AIML Developer EXPERIENCE: 5 Yrs - 14 Yrs CTC Range: 25 LPA -35 LPA Work Type: WFO All 5 Days Responsibilities: Expertise in Python: Design, develop, and maintain robust and scalable back-end APIs using Python and relevant frameworks. Implement efficient algorithms and data structures to handle complex calculations and data processing. Integrate with various databases and third-party APIs for data access and functionality. Ensure code quality through unit testing, code reviews, and best practices. Analyze and understand raw data & Develop data pipelines to wrangle data ML model development and algorithm design. Interpret trends and patterns, visualization tool, python graph libs. Good knowledge of python, DS, Pandas, Scykit, NumPy, TensorFlow, keras, etc. Open AI, GCP - AI services (vertex AI, etc.), Azure - AI services, Aws- AI services, MLops, NLP. Contribute to CI/CD pipelines for automated deployments and testing using Kubernetes. Application of opensource and commercial large language models (Desired) Application of machine learning algorithms and techniques for natural language processing. (Desired) If interested, kindly APPLY for IMMEDIATE response Thanks & Rgds SHOBANA GSN | Mob : 8939666294 (Whatsapp) | Email :Shobana@gsnhr.net | Web : www.gsnhr.net Google Reviews : https://g.co/kgs/UAsF9W

Lead Data Engineer - What You Will Do: As a PR3 Lead Data Engineer, you will be instrumental in driving our data strategy, ensuring data quality, and leading the technical execution of a small, impactful team. Your responsibilities will include: Team Leadership: Establish the strategic vision for the evolution of our data products and our technology solutions, then provide technical leadership and guidance for a small team of Data Engineers in executing the roadmap. Champion and enforce best practices for data quality, governance, and architecture within your team's work. Embody a product mindset over the teams data. Oversee the team’s use of Agile methodologies (e.g., Scrum, Kanban), ensuring smooth and predictable delivery, and overtly focusing on continuous improvement. Data Expertise & Domain Knowledge: Actively seek out, propose, and implement cutting-edge approaches to data transfer, transformation, analytics, and data warehousing to drive innovation. Design and implement scalable, robust, and high-quality ETL processes to support growing business demand for information, delivering data as a reliable service that directly influences decision making. Develop a profound understanding and "feel" for the business meaning, lineage, and context of each data field within our domain. Communication & Stakeholder Partnership: Collaborate with other engineering teams and business partners, proactively managing dependencies and holding them accountable for their contributions to ensure successful project delivery. Actively engage with data consumers to achieve deep understanding of their specific data usage, pain points, and current gaps, then plan initiatives to implement improvements collaboratively. Clearly articulate project goals, technical strategies, progress, challenges, and business value to both technical and non-technical audiences. Produce clear, concise, and comprehensive documentation. Your Qualifications: At Vista, we value the experience and potential that individual team members add to our culture. Please don’t hesitate to apply even if you don’t meet the exact qualifications, we look forward to learning more about you! Bachelor's or Master's degree in computer science, data engineering, or a related field . 10+ years of professional experience, with at least 6 years of hands-on Data Engineering, specifically in e-commerce or direct to consumer, and 4 years of team leadership Demonstrated experience in leading a team of data engineers, providing technical guidance, and coordinating project execution Stakeholder management experience and excellent communication skills Strong knowledge of SQL and data warehousing concepts is a must Strong knowledge of Data Modeling concepts and hands-on experience designing complex multi-dimension data models Strong hands-on experience in designing and managing scalable ETL pipelines in cloud environments with large volume datasets (both structured/unstructured data) Proficiency with cloud services in AWS (Preferred), including S3, EMR, RDS, Step Functions, Fargate, Glue etc. Critical hands-on experience with cloud-based data platforms (Snowflake strongly preferred) Data Visualization experience with reporting and data tools (preferably Looker with LookML skills) Coding mastery in at least one modern programming language: Python (strongly preferred), Java, Golang, PySpark, etc. Strong knowledge in production standards such as versioning, CI/CD, data quality, documentation, automation, etc. Problem solving and multi-tasking ability in a fast-paced, globally distributed environment Nice To Have: Experience with API development on enterprise platforms, with GraphQL APIs being a clear plus Hands-on experience designing DBT data pipelines Knowledge of finance, accounting, supply chain, logistics, operations, procurement data is a plus Experience managing work in Jira and writing documentation in Confluence Proficiency in AWS account management, including IAM, infrastructure, and monitoring for health, security and cost optimization Experience with Gen AI/ML tools for enhancing data pipelines or automating analysis. Why You'll Love Working Here There is a lot to love about working at Vista. We are an award winning Remote-First company. We’re an inclusive community. We’re growing (which means you can too). And to help orient us all in the same direction, we have our Vista Behaviors which exemplify the behavioral attributes that make us a culturally strong and high-performing team. Our Team: Enterprise Business Solutions Vistas Enterprise Business Solutions (EBS) domain is working to make our company one of the most data-driven organizations to support Finance, Supply Chain, and HR functions. The cross-functional team includes product owners, analysts, technologists, data engineers and more – all focused on providing Vista with cutting-edge tools and data we can use to deliver jaw-dropping customer value. EBS team members are empowered to learn new skills, communicate openly, and be active problem-solvers. Join our EBS Domain as a Lead Data Engineer! This Lead level within the organization will be responsible for the work of a small team of data engineers, focusing not only on implementations but also operations and support. The Lead Data Engineer will implement best practices, data standards, and reporting tools. The role will oversee and manage the work of other data engineers as well as being an individual contributor. This role has a lot of opportunity to impact general ETL development and implementation of new solutions. We will look to the Lead Data Engineer to modernize data technology solutions in EBS, including the opportunity to work on modern warehousing, finance, and HR datasets and integration technologies. This role will require an in-depth understanding of cloud data integration tools and cloud data warehousing, with a strong and pronounced ability to lead and execute initiatives to tangible results.

As a Senior Consultant at Dell Technologies in Bangalore, you will play a crucial role in helping organizations navigate their digital transformation journey. Your responsibilities will include providing technical guidance and solutions for complex engagements, collaborating with global teams to deliver innovative strategies, and deploying digital transformation software stacks. You will be a key member of the Services Delivery team, working alongside other experienced consultants to earn customer trust through your technical expertise and consulting skills. Your role will involve supporting customers in architecting Cloud-Native Apps, driving digital transformation within organizations, and implementing DevSecOps practices to enhance development processes. Additionally, you will evaluate new technology options, onboard automation solutions, and support Sales and Pre-Sales teams in solutioning for customers. Your extensive experience in various technical areas such as DevOps, Cloud Computing, AI & ML, and Data Science will be leveraged to lead large-scale digital transformation projects and guide technical teams effectively. To excel in this role, you should have at least 10 years of experience in the IT industry, with a background in computer science or engineering. Business consulting certifications and proven expertise in areas like Cloud Technologies, DevOps Engineering, and Application Modernization are essential. Experience with automation tools like Ansible, Terraform, and Kubernetes will be highly beneficial. If you are passionate about driving innovation, collaborating with diverse teams, and making a meaningful impact in the technology industry, this role at Dell Technologies could be the perfect opportunity for you. Join us in shaping a future where progress takes all of us. Application closing date: 18-Dec-2024 Dell Technologies is committed to promoting equal employment opportunities and creating a work environment free of discrimination and harassment. For more details, please refer to the full Equal Employment Opportunity Policy.,

We are seeking a Senior Python Backend Developer to join our team and take charge of building REST APIs and serverless functions in Azure using Python. As a Senior Python Backend Developer, your main responsibility will be developing high-performance and responsive REST APIs to cater to front-end requests. It will be essential for you to collaborate with team members working on various layers of the application and integrate front-end elements provided by co-workers. Therefore, having a basic understanding of front-end technologies is crucial for this role. Your duties will include delivering top-quality working software independently, writing secure and efficient code, and designing low-latency, high-availability applications. You will also be tasked with integrating user-facing elements developed by front-end developers, implementing security measures, and ensuring data protection. Additionally, your role will involve working with various Azure services like Azure Functions, APIM, Azure storage, SQL, and NoSQL databases, as well as writing automated tests and integrating with Azure APIM, Tracing, and Monitoring services. To excel in this role, you should have experience in building Azure Functions with Python, be proficient in Python with knowledge of at least one Python web framework, and have familiarity with ORM libraries. You should also be capable of integrating multiple data sources and databases into a cohesive system, possess a basic understanding of front-end technologies like JavaScript, HTML5, and CSS3, and have experience with OAuth2/OIDC for securing the backend using Azure AD B2C. Additionally, expertise in Azure services such as Key Vaults, Cost Management, Budgets, Application Insights, Azure Monitor, VNet, etc., fundamental design principles for scalable applications, database schema creation, unit testing, debugging, Git, Postman, Swagger/OpenAPI, Gen-AI, Langchain, Vectorization, LLMs, NoSQL databases like MongoDB, REST APIs, Microservices, and Azure DevOps for CI/CD will be beneficial for this role. If you are passionate about backend development, have a knack for problem-solving collaboratively, and are committed to delivering high-quality software, we invite you to apply for this exciting opportunity to contribute to our team. (Note: This job description is sourced from hirist.tech),

This position is at the intersection of technology, business processes, and business vision. As a Technology/Digital Transformation Specialist, you are tasked with the critical responsibility of guiding through the journey of modernizing and streamlining operations & offerings through digital technology. The role encompasses a variety of tasks, from assessing current technological infrastructures to proposing innovative solutions aligned with strategic business goals. It requires analytical prowess, technological fluency, and visionary thinking. This role is ideal for those passionate about driving change and excelling in environments requiring technical and interpersonal skills. Perform an assessment of technology/digital needs and develop strategies for leveraging emerging technologies to drive business growth and transformation. Define technology vision, roadmap, and provide recommendations on technology/digital transformation strategies. Manage technology tools, platforms, and processes for smooth workflows. Collaborate with various functions to implement successful digital transformation, manage dependencies, and ensure resource planning. Act as a technology evangelist to build awareness and understanding across internal teams. Lead a technology team to deliver significant business value through automation, creation of tools, and accelerators. Implement technology solutions to digitize services, support training, and drive service changes for better customer experience. Manage risk, opportunities, and dependencies across ongoing transformation programs. Provide leadership to technical resources in delivering on the transformation roadmap. Stay abreast of industry trends, leverage innovation management best practices, and build and maintain positive relationships with stakeholders. Required Skills And Qualifications: - Master's degree in data science, Machine Learning, Operational Research, Computer Science, Engineering, or related field. - 12-15 years" experience in software engineering and product management. - Proven track record of leading product, GenAI/ML projects from conception to deployment. - Experience in managing the product lifecycle, design patterns, standards, and best practices. - Strong leadership, communication, collaboration skills, and ability to thrive in ambiguous requirements. - Familiarity with DevOps practices, microservices architecture, and distributed systems. Why Join Us Join a collaborative and innovative team with opportunities for career growth and development. Work on cutting-edge technologies and challenging projects with a competitive compensation and benefits package. If you are passionate about driving innovation, leading engineering teams, and delivering high-quality solutions, we encourage you to apply for this exciting opportunity.,

The ideal candidate for this position will be responsible for understanding business problems and formulating analytical solutions. You will apply machine learning, data mining, and text mining techniques to develop scalable solutions for various business challenges. You will also be involved in speech to text translation for Video/Audio NLP Analysis and generative AI application for Market Research data. Additionally, you will solve problems using advanced AI techniques, including GenAI methods, by designing NLP/LLM/GenAI applications/products with robust coding practices. Experience in LLM models like PaLM, GPT4, and Mistral is preferred. You will be expected to train, tune, validate, and monitor predictive models, as well as analyze and extract relevant information from large amounts of historical business data in structured and unstructured formats. Furthermore, you will establish scalable, efficient, automated processes for large-scale data analyses and develop and deploy Data Science models on cloud platforms like GCP, Azure, and AWS. Working with large, complex data sets using tools such as SQL, Google Cloud Services, Hadoop, Alteryx, and Python will be part of your daily responsibilities. Preferred qualifications for this role include 2+ years of experience in market research, data mining, statistical analysis, Gen AI, modeling, deep learning, optimization, or similar analytics. Additionally, having 2+ years of work experience with Python, SQL, and/or visualization/dashboard tools like Tableau, PowerBI, or Qliksense is desired. Comfort with working in an environment where problems are not always well-defined and the ability to effectively advocate technical solutions to various audiences are also important. Candidates with 3-4 years of industry experience and a Bachelor's or Master's degree in a quantitative field such as Statistics, Computer Science, Economics, Mathematics, Data Science, or Operations Research are required for this position. You should have 3+ years of experience using SQL for acquiring and transforming data, as well as experience with real-world data, data cleaning, data collection, or other data wrangling challenges. Knowledge in fundamental text data processing and excellent problem-solving, communication, and data presentation skills are essential. Moreover, you should be flexible to work on multiple projects/domains/tools, possess collaborative skills to work with business teams, and be comfortable coding in Tensorflow and/or Pytorch, Numpy, and Pandas, Scikit-learn. Experience with open-source NLP modules like SpaCy, HuggingFace, TorchText, fastai.text, and others is beneficial. Proven quantitative modeling and statistical analysis skills, along with a proactive and inquisitive attitude towards learning new tools and techniques, are highly valued.,

We are looking for a highly experienced and dynamic Lead Data Scientist to join our Gen AI team in Kolkata. You should have 10-12 years of hands-on experience in the Data Analytics Industry, with a successful track record of leading and delivering innovative AI solutions. As the Lead Data Scientist, you will be responsible for steering the strategic direction, ensuring technical excellence, and overall success of our data science initiatives. This role presents a unique opportunity to influence the future of AI at Adani while leading a team of talented data scientists. With 10 years of experience in Data Analytics, NLP & Text Analytics and at least 3 years of experience in GenAI & LLM, you should have demonstrable expertise in leading and delivering AI solutions. Your responsibilities will include leading and mentoring a team of data scientists, defining and driving the strategic direction of the Gen AI practice, collaborating with cross-functional teams, developing cutting-edge AI algorithms, and deploying scalable AI solutions that drive operational efficiency and business value. You should possess a Bachelors, Masters, or PhD in Computer Science, Statistics, Mathematics, or a related field, along with relevant certifications in data science, machine learning, or artificial intelligence. Exceptional leadership and team management abilities, strong problem-solving skills, excellent communication, and stakeholder management skills are essential for this role. Furthermore, you should have advanced proficiency in Python, R, or other relevant programming languages, deep understanding of machine learning, deep learning, and natural language processing techniques, experience with big data technologies, and expertise in model deployment and management. If you are passionate about leading high-impact data science initiatives and contributing to the growth of the organization, this Lead Data Scientist role at Adani offers an exciting opportunity to shape the future of AI in a collaborative environment. Join our team and help us drive innovation and make a meaningful impact.,

About us Bain & Company is a global management consulting firm that assists the world's most ambitious change makers in defining the future. With offices in 65 locations across 40 countries, we collaborate with our clients as a unified team, striving to achieve extraordinary results, surpass the competition, and reshape industries. Since our establishment in 1973, we have gauged our prosperity by the achievements of our clients and uphold the highest level of client advocacy in the industry. In 2004, we inaugurated our presence in the Indian market by launching the Bain Capability Center (BCC) in New Delhi, which is now recognized as BCN (Bain Capability Network) with nodes spread across various geographies. BCN serves as a core and largest unit of Expert Client Delivery (ECD), playing a vital role in enhancing Bain's case teams globally by providing analytics and research solutions in all industries, specific domains for corporate cases, client development, private equity diligence, or Bain intellectual property. The BCN encompasses Consulting Services, Knowledge Services, and Shared Services. Who you will work with Bain & Company stands as the foremost consulting partner to the private equity industry and its stakeholders. The Private Equity Group (PEG) at Bain offers comprehensive advisory services to investors throughout the entire investment lifecycle, including pre-investment strategy, due diligence, post-acquisition value creation, and portfolio management. The PEG Innovation Team (PIT) is a specialized division devoted to supporting the private equity sector and its stakeholders. An essential focus area involves harnessing Generative AI to develop innovative solutions that streamline due diligence, automate processes, and enable data-driven decision-making. By integrating expertise in due diligence, operational enhancement, and cutting-edge technologies like Generative AI, PIT empowers private equity clients to achieve superior returns and maintain a competitive edge in the market. What you'll do This role presents an opportunity to be part of the BCN Data business expanding science capability area within the PIT (PEG Innovation Team). Product Support: The primary responsibility of the team will be to support the Beta production of AI applications for PEG (Private Equity Group) as part of Bain's DD2030 (Due Diligence 2030) initiative. Generative AI Focus: The role involves a significant focus on Generative AI applications, aiming to push the boundaries of innovation in the private equity domain. Broader Automation: Additionally, the role may entail contributing to broader PIT automation initiatives aimed at streamlining processes and enhancing efficiency across various stages of the investment lifecycle. The person in this role will need to: - Translate business objectives into data and analytics solutions, and translate results into business insights using appropriate data engineering, analytics, visualization & Gen AI applications. - Utilize Gen AI skills to design and create repeatable analytical solutions to enhance data quality. - Build and deploy machine learning models using Scikit-Learn for various predictive analytics tasks. - Implement and fine-tune NLP models with Hugging Face to tackle complex language processing challenges. - Collaborate with engineering team members on design requirements to transform PoC methods into repeatable data pipelines; collaborate with the Practice team to develop scalable products. - Aid in creating and documenting standard operating procedures for recurring data processes, and establish a knowledge base of data methods. - Stay updated on advancements in AI/ML technologies and best practices in data science, particularly in LLMs and generative AI. About you A Bachelor's or Master's degree in Computer Science, Artificial Intelligence, Applied Mathematics, Econometrics, Statistics, Physics, Market Research, or related field is preferred. 3-5 years of experience in data science & data engineering with hands-on experience in AI/GenAI tools such as Scikit-Learn, LangChain, and Hugging Face. Experience in designing and developing RESTful and GraphQL APIs to facilitate data access and integration. Proficiency in data wrangling in either R or Python is mandatory. Proficiency in SQL is essential, and familiarity with NoSQL data stores is a plus. Familiarity with MLOps practices for model lifecycle management. Experience with Git and modern software development workflow is advantageous. Experience with containerization such as Docker/Kubernetes is beneficial. Proficiency with Agile way of working and tools (Jira, Confluence, Miro). Strong interpersonal and communication skills are imperative. Experience with Microsoft Office suite (Word, Excel, PowerPoint, Teams) is preferred. Ability to explain and discuss Gen AI and Data Engineering technicalities to a business audience. What makes us a great place to work We take pride in consistently being acknowledged as one of the world's best places to work, a proponent of diversity, and a model of social responsibility. Currently ranked as the #1 consulting firm on Glassdoor's Best Places to Work list, we have maintained a position in the top four for the past 12 years. We believe that diversity, inclusion, and collaboration are pivotal in constructing exceptional teams. We recruit individuals with exceptional talents, abilities, and potential, fostering an environment where you can realize your full potential and thrive both professionally and personally. Our commitment to diversity and inclusion has been externally recognized by Fortune, Vault, Mogul, Working Mother, Glassdoor, and the Human Rights Campaign.,

As an Engineering Director at our company, you will play a crucial role in leading and mentoring a large team of 100-150 professionals. Your primary responsibility will be to drive a high-performance, collaborative culture that promotes autonomy and excellence within the team. Additionally, you will be tasked with managing 4-5 strategic client accounts, ensuring the successful delivery of complex projects while fostering long-term relationships with senior stakeholders. You will oversee the financial health of multiple projects, taking full responsibility for budgeting, forecasting, cost management, and billing for both Time & Material (T&M) and Fixed Price (FP) engagements. Building and maintaining strong relationships with senior client stakeholders (VP level and above) will be essential, aligning project outcomes with business objectives and client expectations. Your role will involve overseeing the timely delivery of large-scale, complex projects, meeting all scope, quality, timeline, and budget requirements. You will lead the adoption of emerging technologies such as AI and GenAI to drive innovative solutions that enhance project delivery, efficiency, and client satisfaction. Collaboration with senior leadership, sales, finance, operations, and HR will be necessary to ensure smooth project execution and alignment across departments. You will contribute to business strategy and growth by identifying new opportunities, supporting business development initiatives, and driving innovation within the organization. Proactively identifying project risks and developing mitigation strategies will be crucial for successful project execution while maintaining quality standards. As the point of escalation for client issues, you will ensure that all concerns are addressed promptly and effectively to maintain strong client relationships. Championing continuous improvement initiatives, focusing on optimizing operational processes, resource utilization, and team efficiency, will be part of your responsibilities. You will foster an environment that supports professional growth by mentoring and coaching leaders within your team, ensuring career progression and skill development. Providing regular strategic updates and performance reports to senior management, highlighting key metrics, project statuses, and risk assessments will also be expected. Lastly, you will lead internal thought leadership initiatives, promoting the latest trends and methodologies in technology, project management, and client engagement. Your deep understanding of AI/GenAI will be critical in optimizing project delivery and ensuring overall success and efficiency of complex projects.,

You should ideally possess 12-15 years of experience in the IT Infra & Application domain, particularly in developing a platform utilizing AIOps. The primary objective of this platform is to automate repetitive tasks by following Standard Operating Procedures (SOP). The preferred candidate would be someone who has hands-on experience in creating this platform using custom scripts & GenAI, rather than relying on pre-built or Commercial Off The Shelf (COTS) automation tools. The main goal is to leverage this platform for automating operations in both ITOps and BizOps. This role offers the unique opportunity to be a part of the leadership team of a startup that is focused on addressing opportunities within the Global Capability Center (GCC) arena.,

About the Role: We are seeking a highly motivated and experienced AI Solution Architect (Data Scientist) to join our growing team. In this critical role, you will play a pivotal role in designing and developing innovative AI solutions for our customers. You will collaborate with key stakeholders including CXOs to understand their challenges and craft comprehensive solutions that leverage the power of AI/ML and Generative AI. Responsibilities: Lead from the front as a hands-on subject matter expert, architecting and crafting scalable AI and Generative AI solutions. Partner with customers to deeply understand their business needs and pain points related to AI/ML and Generative AI. Lead technical responses to RFPs (Request for Proposals), crafting detailed solution architectures, technical approaches, and implementation methodologies Design and build robust and secure solution architectures, encompassing conceptual, technical, and security considerations. This includes high-level and low-level designs, implementation roadmaps, and integration plans with existing workflows. Develop compelling solution proposals, including high-level approach and architecture diagrams with clear narratives that explain key design choices, such as: Selection of appropriate AI/ML models (e.g., supervised learning, unsupervised learning, deep learning) based on data characteristics and problem requirements. Strategies for data pre-processing, feature engineering, and model training. Considerations for model explainability, bias mitigation, and fairness. Work along with engineering team to create proof-of-concept (POC) demonstrations that validate the proposed solutions, considering factors like: Identify and leverage existing AI/ML and Generative AI accelerators and solutions to enhance presales activities, client demos, and POC development. Continuously stay updated on the latest advancements in Generative AI through ongoing learning and training initiatives. Qualifications: Bachelors or master’s degree in computer science, Engineering, or a related field. 8+ years of experience in designing and developing AI/ML and Generative AI solutions. Proven track record of successfully translating customer requirements into effective AI-powered solutions. Strong understanding of machine learning principles, frameworks (e.g., pandas, TensorFlow, PyTorch), and best practices. Expertise in cloud computing platforms (Azure, AWS, GCP) for AI/ML deployments. In-depth knowledge of Generative AI models and services like Azure OpenAI, Google AI, AWS, Anthropic, Nvidia NeMo, and Microsoft Copilot etc., plus open source LLMs Experience with natural language processing (NLP) techniques for tasks like text classification, sentiment analysis, and machine translation. Understanding of computer vision (CV) concepts and frameworks for tasks like object detection, image recognition, and image segmentation; and reinforcement learning (RL). Familiarity with designing applications with Nvidia CUDA, and familiarity with NVIDIA NeMo framework for GenAI application development. Knowledge of model deployment strategies, including containerization and orchestration tools (e.g., Docker, Kubernetes).

At EY, youll have the chance to build a career as unique as you are, with the global scale, support, inclusive culture and technology to become the best version of you. And were counting on your unique voice and perspective to help EY become even better, too. Join us and build an exceptional experience for yourself, and a better working world for all. EY-Consulting AI Enabled Automation Developer Staff -Python We are looking to hire people with strong AI Enabled Automation skills and who are interested in learning new technologies in the process automation space Azure . GenAI , large Lang Models(LLM). RAG ,Vector DB , Graph DB ,Python At EY, youll have the chance to build a career as unique as you are, with the global scale, support, inclusive culture, and technology to become the best version of you. And were counting on your unique voice and perspective to help EY become even better, too. Join us and build an exceptional experience for yourself, and a better working world for all. Responsibilities Development and implementation of AI enabled automation solutions, ensuring alignment with business objectives. Design and deploy Proof of Concepts (POCs) and Points of View (POVs) across various industry verticals, demonstrating the potential of AI enabled automation applications. Ensure seamless integration of optimized solutions into the overall product or system Collaborate with cross-functional teams to understand requirements, to integrate solutions into cloud environments (Azure, GCP, AWS, etc.) and ensure it aligns with business goals and user needs Educate team on best practices and keep updated on the latest tech advancements to bring innovative solutions to the project Requirements 2 to 3 years of relevant professional experience Expertise in Python programming including experience with Al/machine learning frameworks like TensorFlow, PyTorch, Keras, Langchain, MLflow, Promtflow(Good to have) 1-2 years of working knowledge of NLP and LLMs like BERT, GPT-3/4, T5, etc. Knowledge of how these models work and how to fine-tune them Expertise in prompt engineering principles and techniques like chain of thought, in-context learning, tree of thought, etc. Knowledge of retrieval augmented generation (RAG) Knowledge of Knowledge Graph RAG Strong analytical and problem-solving skills with the ability to think critically and troubleshoot issues Excellent communication skills, both verbal and written in English What we look for A Team of people with commercial acumen, technical experience and enthusiasm to learn new things in this fast-moving environment An opportunity to be a part of market-leading, multi-disciplinary team of 1400 + professionals, in the only integrated global transaction business worldwide. Opportunities to work with EY Advisory practices globally with leading businesses across a range of industries What working at EY offers At EY, were dedicated to helping our clients, from startups to Fortune 500 companies and the work we do with them is as varied as they are. You get to work with inspiring and meaningful projects. Our focus is education and coaching alongside practical experience to ensure your personal development. We value our employees and you will be able to control your own development with an individual progression plan. You will quickly grow into a responsible role with challenging and stimulating assignments. Moreover, you will be part of an interdisciplinary environment that emphasizes high quality and knowledge exchange. Plus, we offer: Support, coaching and feedback from some of the most engaging colleagues around Opportunities to develop new skills and progress your career The freedom and flexibility to handle your role in a way thats right for you EY | Building a better working world EY exists to build a better working world, helping to create long-term value for clients, people and society and build trust in the capital markets. Enabled by data and technology, diverse EY teams in over 150 countries provide trust through assurance and help clients grow, transform and operate. Working across assurance, consulting, law, strategy, tax and transactions, EY teams ask better questions to find new answers for the complex issues facing our world today.,

Engineering Manager Are you an experienced technical leader who thrives on solving complex problems and driving innovation Do you have expertise in Ruby on Rails, React/Angular, AWS, and GenAI tools If so, Cornerstone is looking for a Senior Engineering Manager to lead our development teams, drive architectural excellence, and ensure successful project execution. Must-Have Skills Technical Expertise: 10+ years of hands-on experience in Ruby on Rails (RoR), React/Angular, and AWS services Strong understanding of Microservices Architecture and GenAI tools Experience in designing and implementing scalable, high-performance applications Leadership & Project Management 3-4+ years of project management experience in an agile environment Proven ability to lead, mentor, and scale high-performing engineering teams Experience in driving end-to-end project execution, ensuring timely delivery Good-to-Have Skills Excellent written and verbal communication skills Ability to explain complex technical concepts to non-technical stakeholders Experience working with distributed teams across geographies Academic Qualifications Bachelors Degree in Computer Science or a related field Location: Hyderabad (On-site/Hybrid) Key Roles & Responsibilities 1 Team Leadership & Mentorship Lead and mentor a team of software engineers, fostering innovation and technical excellence Develop career growth plans and provide regular feedback to team members Encourage a culture of continuous learning, collaboration, and accountability 2 Technical Strategy & Architecture Own the technical vision and drive architecture and design decisions Ensure best practices in coding, design, testing, and deployment Optimize performance, scalability, and security of applications 3 Development & Project Execution Oversee end-to-end software development lifecycle, ensuring projects are delivered on time Collaborate with cross-functional teams (Product, Design, QA, DevOps) to align technical solutions with business goals Establish and enforce agile development practices, including sprint planning, stand-ups, and retrospectives 4 Code Quality & Reviews Conduct code and design reviews to ensure high-quality standards Implement CI/CD pipelines for smooth and efficient deployments Ensure adherence to security, performance, and maintainability best practices 5 Stakeholder Collaboration & Communication Act as a bridge between engineering teams and business stakeholders Present technical strategies and progress updates to leadership teams Work closely with Product Managers and UX teams to shape product roadmaps Why Join Us Work on cutting-edge technologies and GenAI-driven solutions Lead a high-impact engineering team with autonomy Be part of a company that values innovation, excellence, and continuous learning Skills: agile methodologies,communication,web application development,technical documentation,agile practices,ror,technical mentorship,angular,rest api development,design,angularjs,project management,team leadership,react,software,code,ruby on rails,microservices,leadership,genai tools,genai,aws,code quality,people management,microservices architecture,

You are looking for a Senior OTT & Digital Media Technology Specialist with 10-15 years of experience to join your team in Bangalore. As a candidate, you should have at least 7 years of relevant experience in OTT/Streaming platforms. Your expertise should include Digital Content Production, with the ability to create multimedia content for online, mobile, smart TV applications, and social media. Additionally, you should be familiar with GenAI, AI/ML, and Cloud technologies. In this role, you will be responsible for managing the end-to-end production workflow from concept to delivery, tailored specifically to Public Broadcasters production protocols. Knowledge of IP Broadcasting Technology is essential as Public Broadcasters transition to IP-based distribution systems. Experience with audience analytics tools and platforms is required to analyze viewer behavior and content performance. Furthermore, you should have a good understanding of Digital Archive and content management systems to access and preserve the corporation's extensive media library. Technical knowledge of audio and video encoding standards, broadcast quality requirements, and delivery specifications is also necessary for this position. If you meet these qualifications and are interested in this opportunity, please share your resume with Pravallika@codersbrain.com. This role offers a dynamic work environment in a hybrid setting, with the option to work from home or the office.,

Ready to shape the future of work At Genpact, we don&rsquot just adapt to change&mdashwe drive it. AI and digital innovation are redefining industries, and we&rsquore leading the charge. Genpact&rsquos , our industry-first accelerator, is an example of how we&rsquore scaling advanced technology solutions to help global enterprises work smarter, grow faster, and transform at scale. From large-scale models to , our breakthrough solutions tackle companies most complex challenges. If you thrive in a fast-moving, tech-driven environment, love solving real-world problems, and want to be part of a team that&rsquos shaping the future, this is your moment. Genpact (NYSE: G) is an advanced technology services and solutions company that delivers lasting value for leading enterprises globally. Through our deep business knowledge, operational excellence, and cutting-edge solutions - we help companies across industries get ahead and stay ahead. Powered by curiosity, courage, and innovation , our teams implement data, technology, and AI to create tomorrow, today. Get to know us at and on , , , and . Inviting applications for the role of Senior Principal Consultant, Scrum Master! In this role, you will Manage software development projects: You will lead the planning, design, development, testing, and implementation of software applications Responsibilities Responsible for taking large Enterprise Data and Analytics programs from business cases through post-implementation and benefits tracking. Drive crucial conversations with senior leaders in business and IT to define strategic business cases and measurable benefits. Drive all PMO activities in coordination with a team of senior technical and non-technical professionals dedicated to the implementation and enablement of company-wide data and analytics platforms. Plan, lead and facilitate Agile practices like sprint planning, burn up/burn downs, and cross-functional scrum team dependencies, and create release schedules and related staffing plans. Develop a detailed program execution plan and manage all execution aspects, including program interdependencies, progress metrics, testing, deployment, and enablement. Create crisp and complete documentation to facilitate program reviews and the decision-making process at the Steering Committee. Drive risk mitigation strategies and issue resolution actions with key stakeholders at all levels of the organization. Engage and collaborate with all business and IT functions affected by the program, internal and external partners and vendors. Apply consistency and best practices through program initiation, planning, execution and closing phases, enabling business outcomes and benefits tracking. Manage one to many scrum teams applying Agile principles, practices, and theory. Experience in GenAI project Qualifications we seek in you! Minimum Qualifications / Skills Project / program management experience with dedicated to hands-on project management in the application security space . Knowledge of security frameworks (BSIMM, etc.) and proven experience in managing multiple projects, and programs to improve security capability maturity. Experience with Agile traits and techniques: Lean design, accommodating changing requirements, iterations, and loop feedback with customer involvement. Demonstrated ability to drive Steering Committee meetings with executive management with solid experience in decision-making. Excellent communication skills, problem-solving, conflict/resolution management, active listening, time management, and interpersonal skills. Demonstrated consistent ability to lead cross-functional teams and deliver technical solutions while mitigating or removing hurdles/obstacles. Has a track record of overcoming project crises. Ability to be straightforward, articulate well, and have exceptional listening skills . Demonstrated consistent ability to lead cross-functional teams and deliver solutions. Preferred Qualifications/ Skills Scrum Master, SAFe Agile, PMP certification Knowledge of Change & Incident Management process Excellent communication and people skills Bachelor&rsquos degree or equivalent experience in Computer Information Systems (CIS), Management Information Systems (MIS), Computer Science (CS) or related field ITIL . Certification or working experience using ITIL SM is a plus . Experience with Six Sigma methodology is a plus . Working knowledge of the ServiceNow PPM platform is preferred. Why join Genpact Be a transformation leader - Work at the cutting edge of AI, automation, and digital innovation Make an impact - Drive change for global enterprises and solve business challenges that matter Accelerate your career - Get hands-on experience, mentorship, and continuous learning opportunities Work with the best - Join 140,000+ bold thinkers and problem-solvers who push boundaries every day Thrive in a values-driven culture - Our courage, curiosity, and incisiveness - built on a foundation of integrity and inclusion - allow your ideas to fuel progress Come join the tech shapers and growth makers at Genpact and take your career in the only direction that matters: Up. Let&rsquos build tomorrow together. Genpact is an Equal Opportunity Employer and considers applicants for all positions without regard to race, color , religion or belief, sex, age, national origin, citizenship status, marital status, military/veteran status, genetic information, sexual orientation, gender identity, physical or mental disability or any other characteristic protected by applicable laws. Genpact is committed to creating a dynamic work environment that values respect and integrity, customer focus, and innovation. Furthermore, please do note that Genpact does not charge fees to process job applications and applicants are not required to pay to participate in our hiring process in any other way. Examples of such scams include purchasing a %27starter kit,%27 paying to apply, or purchasing equipment or training.

Job Title: Senior developer - Artificial Intelligence & Machine Learning Location: Chennai / Bangalore / Pune (Hybrid model - 2 days working from office) Role Summary We are seeking a skilled and hands-on Senior Artificial Intelligence & Machine Learning (AI/ML) Engineer to build and productionize AI solutionsincluding fine-tuning large language models (LLMs), implementing Retrieval-Augmented Generation (RAG) workflows, multi-agent applications and MLOps pipelines. This role focuses on individual technical contribution and requires close collaboration with solution architects, AIML leads, and fellow engineers to translate business use cases into scalable, secure, cloud-native AI services. The ideal candidate will bring deep technical expertise across the AI/ML lifecyclefrom prototyping to deploymentwhile contributing to a culture of engineering excellence through peer reviews, documentation, and platform innovation. They will play a critical role in delivering robust, high-performance AI systems in partnership with the broader AI/ML team. Key Responsibilities Model Development & Optimization Fine-tune foundation models (e.g., GPT-4, Llama 3). Implement prompt engineering and basic parameter-efficient tuning (e.g., LoRA). Conduct model evaluation for quality, bias, and hallucination; analyze results and suggest improvements. RAG & Agentic Systems (Exposure, Not Ownership) Assist in building RAG pipelines: Participate in integrating and embedding generation, vector stores (e.g., FAISS, pgvector), and retrieval/ranking components. Work with multi-agent frameworks (e.g., LangChain, Crew AI) Production Engineering / MLOps Contribute to CI/CD pipelines for model training and deployment (e.g., GitHub Actions, SageMaker Pipelines). Help automate monitoring for latency, drift, and cost; assist in lineage tracking (e.g., MLflow). Containerize services with Docker and assist in orchestration (e.g., Kubernetes/EKS/GKE) Data & Feature Engineering Build and maintain data pipelines for collection, cleansing, and feature generation (e.g., Airflow, Spark). Implement basic data versioning and assist with synthetic data generation as needed Code Quality & Collaboration Participate in design and code reviews. Contribute to testing (unit, integration, guardrail/hallucination tests) and documentation. Share knowledge through sample notebooks and internal sessions Security, Compliance, Performance Follow secure coding and Responsible AI guidelines. Assist in optimizing inference throughput and cost (e.g., quantization, batching) under guidance. Ensure SLAs are met and contribute to system auditability Technology Stack Programming Languages & Frameworks Python (expert) JavaScript/Go/TypeScript (nice-to-have) Strong knowledge of libraries such as Scikit-learn, Pandas, NumPy, XGBoost, LightGBM, TensorFlow, PyTorch. PyTorch, TensorFlow/Keras, Hugging Face Transformers/PEFT, LangChain/LlamaIndex, Ray/PyTorch Lightning, FastAPI/Flask Experience working with RESTful APIs, authentication (OAuth, API keys), and pagination Cloud & DevOps Expertise in one or more cloud vendors like AWS, GCP, Azure Containers (Docker), Orchestration (Kubernetes, EKS/GKE/AKS) MLOps Databases Relational: PostgreSQL, MySQL NoSQL: MongoDB / DynamoDB Vector Stores: FAISS / pgvector / Pinecone / OpenSearch / Milvus / Weaviate RAG Components Document loaders/parsers, text splitters (recursive/semantic), embeddings (OpenAI, Cohere, Vertex AI), hybrid/BM25 retrievers, rerankers (Cross-Encoder) Multi-Agent Frameworks Crew AI / AutoGen / LangGraph / MetaGPT / Haystack Agents, planning & tool-use patterns Testing & Quality Unit/integration testing (pytest), guardrails Qualifications: 1012 years of experience in software engineering/data science, with 4+ years leading AI/ML projects end-to-end. Bachelors or Masters in Computer Science, Artificial Intelligence, Data Science, or related field. Certifications preferred: AWS Certified Machine Learning / Google Professional Machine Learning Engineer / Azure AI Engineer Associate and Kubernetes CKA/CKAD. Experience in regulated industries (Fintech, Healthcare, eCommerce) is a plus. Soft Skills & Leadership Attributes Influential communication: Translate complex ML concepts for non-technical stakeholders; strong presentation & storytelling. Mentorship mindset: Coach, upskill, and inspire cross-functional teams; foster psychological safety. Ownership & bias for action: Deliver POCs, iterate based on feedback, drive solutions to production. Critical thinking & experimentation: Data-driven decision making, hypothesis testing, A/B experimentation. Adaptability: Stay current with rapid advances in GenAI, tooling, and research; evaluate emerging models/services.

Work location: 100% Remote with (Base Location Bangalore, Chennai, Hyderabad, Pune) Mandatory skills:- Python, LLM, JavaScript, Kubernetes and GenAI Background Key Responsibilities: Strong problem-solving skills Generative AI ( Lang chain, Open AI) Advance level of python and JavaScript Python libraries like Fast API , pytest Git React JS Docker, Kubernetes Basic Linux commands Familiar with Azure/GCP Requirement: Need some knowledge of genAI - past 1-2 projects Need to have strong python, they need to know how to deploy the APIs into Kubernetes and have strong hands on docker experience Manage application on Kubernetes, ensure high scalability and availability. Experience in typescript (they will be developing extensions written in typescript) Design develop and deploy scalable python APIs Once deployed, need to debug that issue in the endpoints. Knowledge on LLM models.

A career within Data and Analytics services will provide you with the opportunity to help organisations uncover enterprise insights and drive business results using smarter data analytics. We focus on a collection of organisational technology capabilities, including business intelligence, data management, and data assurance that help our clients drive innovation, growth, and change within their organisations in order to keep up with the changing nature of customers and technology. We make impactful decisions by mixing mind and machine to leverage data, understand and navigate risk, and help our clients gain a competitive edge. As part of our Analytics and Insights Consumption team, you'll analyze data to drive useful insights for clients to address core business issues or to drive strategic outcomes. You'll use visualization, statistical and analytics models, AI/ML techniques, Modelops, and other techniques to develop these insights. Candidates with 16+ years of hands-on experience are required for this position. **Required Skills:** - 15 years of relevant experience in pharma & life sciences analytics, with knowledge of industry trends, regulations, and challenges. - Proven track record of working within the pharma and life sciences domain, addressing industry-specific issues and leveraging domain knowledge to drive results. - Knowledge of drug development processes, clinical trials, regulatory compliance, market access strategies, and commercial operations. - Strong knowledge of healthcare industry trends, regulations, and challenges. - Proficiency in data analysis and statistical modeling techniques. - Good knowledge of statistics, Data analysis hypothesis testing, and preparation for machine learning use cases. - Expertise in GenAI, AI/ML, and data engineering. - Experience in machine learning frameworks and tools (For e.g. scikit-learn, mlr, caret, H2O, TensorFlow, Pytorch, MLlib). - Familiarity with programming in SQL and Python/Pyspark to guide teams. - Familiarity with visualization tools for e.g.: Tableau, PowerBI, AWS QuickSight etc. - Excellent problem-solving and critical-thinking abilities. - Strong communication and presentation skills, with the ability to effectively convey complex concepts to both technical and non-technical stakeholders. - Leadership skills, with the ability to manage and mentor a team. - Project management skills, with the ability to prioritize tasks and meet deadlines. **Responsibilities:** - Lead and manage the pharma life sciences analytics team, providing guidance, mentorship, and support to team members. - Collaborate with cross-functional teams to identify business challenges and develop data-driven solutions tailored to the pharma and life sciences sector. - Leverage in-depth domain knowledge across the pharma life sciences value chain, including R&D, drug manufacturing, commercial, pricing, product planning, product launch, market access, and revenue management. - Utilize data science, GenAI, AI/ML, and data engineering tools to extract, transform, and analyze data, generating insights and actionable recommendations. - Develop and implement statistical models and predictive analytics to support decision-making and improve healthcare outcomes. - Stay up-to-date with industry trends, regulations, and best practices, ensuring compliance and driving innovation. - Present findings and recommendations to clients and internal stakeholders, effectively communicating complex concepts in a clear and concise manner. - Collaborate with clients to understand their business objectives and develop customized analytics solutions to meet their needs. - Manage multiple projects simultaneously, ensuring timely delivery and high-quality results. - Continuously evaluate and improve analytics processes and methodologies, driving efficiency and effectiveness. - Stay informed about emerging technologies and advancements in the pharma life sciences space, identifying opportunities for innovation and growth to provide thought leadership and subject matter expertise. **Professional And Educational Background:** BE / B.Tech / MCA / M.Sc / M.E / M.Tech / MBA,

You will be joining our team as an experienced UVM and GenAI Engineer, focusing on developing innovative solutions using Generative AI to automatically generate testbenches for complex digital designs. Your responsibilities will include collaborating with design and verification teams, implementing Generative AI algorithms, designing UVM-based testbenches, and integrating AI-generated testbenches into the verification flow. You will also be required to stay updated with the latest developments in UVM, GenAI, and digital design verification, participate in code reviews, and contribute to enhancing the team's verification methodologies. To qualify for this role, you should hold a Bachelor's/Master's degree in Computer Science, Electrical Engineering, or a related field, along with at least 6 years of experience in digital design verification with a focus on UVM-based testbenches. Proficiency in UVM, SystemVerilog, digital design principles, AI/ML frameworks, programming languages like Python, C++, and systemVerilog, as well as experience with version control systems like Git, are essential. Strong problem-solving skills and the ability to work both independently and collaboratively are also key requirements. It would be advantageous if you have experience with Generative AI algorithms, digital design languages such as VHDL or Verilog, cloud-based AI platforms like AWS SageMaker or Google Cloud AI Platform, and Agile development methodologies. In return, we offer a competitive salary and benefits package, the opportunity to work on cutting-edge AI technology and digital design verification, a collaborative work environment, professional development opportunities, and flexible working hours with remote work options. If you are a motivated individual with a passion for UVM, GenAI, and digital design verification, we encourage you to submit your resume and a cover letter detailing why you are the perfect fit for this role.,

Job Description: We are seeking a highly skilled AI ML engineer with machine learning and Python experience Knowledge on end to end architecture of Data Science and machine learning project Experience in productionizing machine learning models and guide development team for implementing machine learning use cases The ideal candidate will have a strong background in AI ML service deployed cloud infrastructure and a comprehensive understanding of data engineering and MLOps practices Key Responsibilities: Data collection profiling EDA data preparation AI Model development tuning validation Visualization tools e g PowerBI tableau Present findings to business users project management teams Propose ML based solution approaches and estimates for new use cases Experience in ML algorithms NLP GenAI based solutions Supervised Unsupervised Reinforcement learning Collaborate with data scientists and engineers to support ML model training evaluation and deployment Strong knowledge of Knowledge of AI services from cloud platforms Azure AWS GCP Apply advanced MLOps practices to streamline model deployment monitoring and lifecycle management Technical Requirements: Proficiency in Python for data processing automation tasks and model development Strong understanding of ML model training evaluation and deployment Proficiency in GenAI based solution development Strong knowledge of Knowledge of AI services from cloud platforms Azure AWS GCP Experience in python based web application for AI ML use cases Preferred Skills: Technology->Artificial Intelligence->Computer Vision,Technology->Machine Learning->Python

Ready to shape the future of work At Genpact, we don&rsquot just adapt to change&mdashwe drive it. AI and digital innovation are redefining industries, and we&rsquore leading the charge. Genpact&rsquos , our industry-first accelerator, is an example of how we&rsquore scaling advanced technology solutions to help global enterprises work smarter, grow faster, and transform at scale. From large-scale models to , our breakthrough solutions tackle companies most complex challenges. If you thrive in a fast-moving, tech-driven environment, love solving real-world problems, and want to be part of a team that&rsquos shaping the future, this is your moment. Genpact (NYSE: G) is an advanced technology services and solutions company that delivers lasting value for leading enterprises globally. Through our deep business knowledge, operational excellence, and cutting-edge solutions - we help companies across industries get ahead and stay ahead. Powered by curiosity, courage, and innovation , our teams implement data, technology, and AI to create tomorrow, today. Get to know us at and on , , , and . Inviting applications for the role of Principal Consultant, AI Engineer! In this role, we are looking for candidates who have relevant years of experience in designing and developing machine learning and deep learning system . Who have professional software development experience. Hands on running machine learning tests and experiments. Implementing appropriate AI engineers with GenAI . Responsibilities Drive the vision for modern data and analytics platform to deliver well architected and engineered data and analytics products leveraging cloud tech stack and third-party products Close the gap between AI research and production to create ground-breaking new products, features and solve problems for our customers with GenAI Design, develop, test, and deploy data pipelines, machine learning infrastructure and client-facing products and services Build and implement machine learning models and prototype solutions for proof-of-concept Scale existing AI models into production on a variety of cloud platforms with GenAI Analyze and resolve architectural problems, working closely with engineering, data science and operations teams Qualifications we seek in you! Minimum Qualifications / Skills Bachelor%27s degree in computer science engineering, information technology or BSc in Computer Science, Mathematics or similar field Master&rsquos degree is a plus Integration - APIs, micro- services and ETL/ELT patterns DevOps (Good to have) - Ansible, Jenkins, ELK Containerization - Docker, Kubernetes etc Orchestration - Airflow, Step Functions, Ctrl M etc Languages and scripting: Python, Scala Java etc Cloud Services - AWS, GCP, Azure and Cloud Native Analytics and AI tooling - Sagemaker , GenAI Execution Paradigm - low latency/Streaming, batch Ensure GenAI outputs are contextually relevant, Familiarity with Generative AI technologies, Design and Implement GenAI Solutions Collaborate with service line teams to design, implement and manage Gen-AI solution Preferred Qualifications/ Skills Data platforms - Big Data (Hadoop, Spark, Hive, Kafka etc.) and Data Warehouse (Teradata, Redshift, BigQuery , Snowflake etc.) AI and GenAI Tools Certifications in AI/ML or GenAI Familiarity with generative models, prompt engineering, and fine-tuning techniques to develop innovative AI solutions. Designing, developing, and implementing solutions tailored to meet client needs. Understanding business requirements and translating them into technical solutions using GEN AI Why join Genpact Be a transformation leader - Work at the cutting edge of AI, automation, and digital innovation Make an impact - Drive change for global enterprises and solve business challenges that matter Accelerate your career - Get hands-on experience, mentorship, and continuous learning opportunities Work with the best - Join 140,000+ bold thinkers and problem-solvers who push boundaries every day Thrive in a values-driven culture - Our courage, curiosity, and incisiveness - built on a foundation of integrity and inclusion - allow your ideas to fuel progress Come join the tech shapers and growth makers at Genpact and take your career in the only direction that matters: Up. Let&rsquos build tomorrow together. Genpact is an Equal Opportunity Employer and considers applicants for all positions without regard to race, color , religion or belief, sex, age, national origin, citizenship status, marital status, military/veteran status, genetic information, sexual orientation, gender identity, physical or mental disability or any other characteristic protected by applicable laws. Genpact is committed to creating a dynamic work environment that values respect and integrity, customer focus, and innovation. Furthermore, please do note that Genpact does not charge fees to process job applications and applicants are not required to pay to participate in our hiring process in any other way. Examples of such scams include purchasing a %27starter kit,%27 paying to apply, or purchasing equipment or training.

Apply Here: https://www.amazon.jobs/en/jobs/2945640/delivery-consultant-ai-ml-and-generative-ai-professional-services-gcc The Amazon Web Services Professional Services (ProServe) team is seeking a skilled Delivery Consultant to join our team at Amazon Web Services (AWS). In this role, you'll work closely with customers to design, implement, and manage AWS solutions that meet their technical requirements and business objectives. You'll be a key player in driving customer success through their cloud journey, providing technical expertise and best practices throughout the project lifecycle. Role & responsibilities - Designing, implementing, and building complex, scalable, and secure GenAI and ML applications and models built on AWS tailored to customer needs - Providing technical guidance and implementation support throughout project delivery, with a focus on using AWS AI/ML services - Collaborating with customer stakeholders to gather requirements and propose effective model training, building, and deployment strategies - Acting as a trusted advisor to customers on industry trends and emerging technologies - Sharing knowledge within the organization through mentoring, training, and creating reusable artifacts Preferred candidate profile - Experience in cloud architecture and implementation - Bachelor's degree in Computer Science, Engineering, related field, or equivalent experience - Proven track record in designing and developing end-to-end Machine Learning and Generative AI solutions, from conception to deployment - Experience in applying best practices and evaluating alternative and complementary ML and foundational models suitable for given business contexts - Foundational knowledge of data modeling principles, statistical analysis methodologies, and demonstrated ability to extract meaningful insights from complex, large-scale datasets