software engineer

associate engineer

automation engineer

production engineer

ai engineer

VALUEMOMENTUM Inc

<div><div>Job Title: AI/ML Lead</div>
<div>Job ID: POS-16044</div>
<div>Primary Skill: AWS Services</div>
<div>Location: Hyderabad
</div><div>Experience: 9.00</div> 
 
<div>Job Description: AI Architect 

Job Title: AI Architect
Primary skills: AWS
Location: Hyderabad/ERIE, PA
Mode of work: Work from Office
Experience: 8 - 10 Yrs. 

About the job
We are seeking an AI Architect to join their team in Erie, PA. We are looking for a senior data scientist/agentic AI architect with heavy ML/MLops experience (strong Python) who can evaluate and implement models that are provided by the enterprise and act as Lead Engineer. We are really searching for someone who can analyze the models and select which model can be used for which situation. The Senior/Lead ML Engineer will need deep ML knowledge but will not be building models from scratch, but potentially making them more efficient, implementing them, analyzing them and assisting with metrics and future plans with a focus on agentic AI (workflows). 
Know your team
At ValueMomentum&rsquo;s Engineering Center, we are a team of passionate engineers who thrive on tackling complex business challenges with innovative solutions while transforming the P&amp;C insurance value chain. We achieve this through strong engineering foundation and continuously refining our processes, methodologies, tools, agile delivery teams, and core engineering archetypes. Our core expertise lies in six key areas: Cloud Engineering, Application Engineering, Data Engineering, Core Engineering, Quality Engineering, and Domain expertise. 

Join a team that invests in your growth. Our Infinity Program empowers you to build your career with role-specific skill development leveraging immersive learning platforms. You'll have the opportunity to showcase your talents by contributing to impactful projects. 

Responsibilities
<ul><li>Lead the design and development of an Agentic AI platform</li>
<li>Architect and implement core systems for agent-based AI workflows</li>
<li>Apply GenAI for documentation use cases such as extraction, indexing, summarization, classification, bundling and routing.</li>
<li>Design and develop RAG/Graph RAG with ingestion pipelines using langchain or AWS Bedrock.</li>
<li>Develop conversation intelligence solutions using any Gen AI tech stack. Ex: LangChain,Streamlit, Copilot Studio or AWS Q Developer.</li>
<li>Finetune LLM Foundational models on AWS Bedrock.</li>
<li>Design and Develop LLM and AI application evaluation sets.</li>
<li>Develop and optimize ML models, pipelines, and orchestration logic</li>
<li>Provide technical leadership and guidance to development teams on leveraging the self-service platform for their AI-based initiatives.</li>
<li>Collaborate with stakeholders to define key performance indicators (KPIs) and establish metrics for measuring the effectiveness and adoption of the self-service platform with improved developer experience.</li></ul> 

<ul><li>Requirements 
Bachelor&rsquo;s / master&rsquo;s degree in computer science, Engineering, or a related field (or equivalent work experience).</li>
<li>Programming Languages: Proficiency in Python is essential.</li>
<li>Agentic AI : Expertise in LangChain/LangGraph, CrewAI, Semantic Kernel/Autogen and Open AI Agentic SDK</li>
<li>Machine Learning Frameworks: Experience with TensorFlow, PyTorch, Scikit-learn, and AutoML; Deep expertise in machine learning, system architecture, and AI agent frameworks to build scalable, autonomous systems</li>
<li>Generative AI: Hands-on experience with generative AI models, RAG architecture, and Natural Language Processing (NLP)</li>
<li>Cloud Platforms: Familiarity with AWS</li>
<li>Data Engineering: Proficiency in data preprocessing and feature engineering</li>
<li>Version Control: Experience with GitHub for version control</li>
<li>Data Science Practices: Skills in building models, testing/validation, and deployment</li>
<li>Collaboration: Experience working in an Agile framework</li>
<li>RAG Architecture: Experience with data ingestion, data retrieval, and data generation using optimal methods such as hybrid search</li>
<li>Understanding of AWS services such as EC2, S3, VPC, IAM, Lambda, API Gateway, and others.</li>
<li>Knowledge in infrastructure as code (IaC) tools such as Terraform,.</li>
<li>Understanding of cloud security best practices, compliance standards, and governance frameworks.</li>
<li>Experience with containerization technologies (e.g., Docker, Kubernetes) and serverless computing.</li>
<li>Experience with DevOps practices, including CI/CD pipelines, configuration management, and automated testing.</li>
<li>Experience in network architecture, IDAM (Identity and Access Management), Active Directory, key vaults, and other network, security-related components.</li>
<li>Excellent problem-solving skills and the ability to troubleshoot complex issues in distributed systems.</li>
<li>Effective communication and collaboration skills, with the ability to effectively interact with stakeholders at all levels.</li></ul> 

About ValueMomentum
ValueMomentum is a leading solutions provider for the global property &amp; casualty insurance industry, supported by deep domain and technology capabilities. We offer a comprehensive suite of advisory, development, implementation, and maintenance services across the entire P&amp;C insurance value chain. This includes Underwriting, Claims, Distribution, and more, empowering insurers to stay ahead with sustained growth, high performance, and enhanced stakeholder value. Trusted by over 75 insurers, ValueMomentum is one of the largest standalone insurance-focused solutions providers to the US insurance industry. 
Our culture &ndash; Our fuel
At ValueMomentum, we believe in making employees win by nurturing them from within, collaborating and looking out for each other.
<ul><li>People first - Empower employees to succeed.</li>
<li>Nurture leaders - Nurture from within.</li>
<li>Enjoy wins &ndash; Recognize and celebrate wins.</li>
<li>Collaboration &ndash; Foster a culture of collaboration and people-centricity.</li>
<li>Diversity &ndash; Committed to diversity, equity, and inclusion.</li>
<li>Fun &ndash; Create a fun and engaging work environment.</li>
<li>Warm welcome &ndash; Provide a personalized onboarding experience.</li></ul> 

Company Benefits
<ul><li>Compensation - Competitive compensation package comparable to the best in the industry.</li>
<li>Career Growth - Career development, comprehensive training &amp; certification programs, and fast track growth for high potential associates.</li>
<li>Benefits: Comprehensive health benefits and life insurance.</li></ul> 

**** 
</div> 
<div><div>About the Company: 
 
ValueMomentum is a leading solutions provider for the global property and casualty insurance industry. The company helps insurers stay ahead with sustained growth and high performance, enhancing stakeholder value and fostering resilient societies. Having served over 100 insurers, ValueMomentum is one of the largest services providers exclusively focused on the insurance industry. 
</div> 
<div>Benefits: 
 
We at ValueMomentum offer you a congenial environment to work and grow in the company of experienced professionals. Some benefits that are available to you are:
<ul><li>Competitive compensation package.</li>
<li>Career Advancement: Individual Career Development, coaching and mentoring programs for professional and leadership skill development.</li>
<li>Comprehensive training and certification programs.</li>
<li>Performance Management: Goal Setting, continuous feedback and year-end appraisal. Reward &amp; recognition for the extraordinary performers.</li></ul></div></div></div>

AI/ML Lead

Experian

<div>
 
 Company Description
 
 
 
 Experian is a global data and technology company, powering opportunities for people and businesses around the world. We help to redefine lending practices, uncover and prevent fraud, simplify healthcare, create marketing solutions, and gain deeper insights into the automotive market, all using our unique combination of data, analytics and software. We also assist millions of people to realize their financial goals and help them save time and money.
 
 
 We operate across a range of markets, from financial services to healthcare, automotive, agribusiness, insurance, and many more industry segments.
 
 
 We invest in people and new advanced technologies to unlock the power of data. As a FTSE 100 Index company listed on the London Stock Exchange (EXPN), we have a team of 22,500 people across 32 countries. Our corporate headquarters are in Dublin, Ireland. Learn more at experianplc.com.
 
 
 
 Job Description
 
 
 
 We are seeking an
 
 Automation Engineer
 
 with a passion for automation and modern AI/GenAI/Agentic technologies. You will use your programming expertise and knowledge of AI/GenAI/Agentic to build and optimize automation workflows for our business processes.
 
 
 
 Responsibilities
 
 
 
 <ul>
 <li>
 Develop Automation Workflows: Design, implement, and maintain automation scripts and tools (primarily in Python) to streamline operational processes (e.g. customer onboarding, transaction processing, reporting).
 </li>
 <li>
 Integrate AI and LLMs: Leverage generative AI and LLM capabilities to enhance automation. This includes calling OpenAI APIs or similar services to build intelligent features such as document processing, content generation, or decision support within workflows.
 </li>
 <li>
 Agentic Automation Solutions: Create and deploy agent-based automation (utilizing frameworks like LangChain, CrewAI or custom agents) that can perform multi-step tasks with minimal human intervention.
 </li>
 <li>
 Data Retrieval and RAG: Implement retrieval-augmented generation techniques when needed &ndash; such as using vector databases to store and retrieve embeddings &ndash; so that AI models have access to relevant data (e.g. knowledge bases or transaction history) for more accurate and context-aware outputs.
 </li>
 <li>
 Testing and Optimization: Rigorously test automation workflows to ensure reliability, accuracy, and security. Debug issues and optimize performance of scripts or AI components (e.g. fine-tune prompts or adjust logic for better results).
 </li>
 <li>
 Documentation: Document the design, steps, and usage of automation workflows clearly. Provide user guides or runbooks for automated processes to ensure maintainability and knowledge sharing within the team.
 
 
 </li>
 </ul>
 
 Qualifications
 
 
 
 <ul>
 <li>
 Bachelor's or master's degree in computer science, Software Engineering, or a related field with
 </li>
 <li>
 You should have overall experience of 5yrs and 1-2 yrs experience in GenAI/AI/Agentic automation.
 </li>
 <li>
 AI/ML Tools: Familiarity with additional AI and data tools such as TensorFlow/PyTorch (for any ML model work), Pandas or SQL (for data manipulation and analysis in automation), or prompt engineering techniques to fine-tune AI behavior.
 </li>
 <li>
 AI/Generative AI: Knowledge of generative AI and LLMs. Hands-on experience using the OpenAI API (or similar AI/ML APIs) to build applications or prototypes.
 </li>
 <li>
 Agentic AI Frameworks: Exposure and deep understanding of Agentic AI and to frameworks like LangChain, CrewAI (or similar libraries for building AI-driven applications). Ability to design multi-step AI workflows or chains, prompt engineering, Evals, and integrate pre-built AI components into larger processes.
 </li>
 <li>
 Vector Databases &amp; RAG: Good understanding of vector databases (LlamaIndex, ADA, FAISS, etc.) and Retrieval Augmented Generation (RAG) concepts.
 </li>
 <li>
 You will be reporting to a Senior Manager
 
 
 </li>
 </ul>
 
 Additional Information
 
 
 
 Our uniqueness is that we truly celebrate yours. Experian's culture and people are important differentiators. We take our people agenda very seriously and focus on what truly matters; DEI, work/life balance, development, authenticity, engagement, collaboration, wellness, reward &amp; recognition, volunteering... the list goes on. Experian's strong people first approach is award winning; Great Place To Work&trade; in 24 countries, FORTUNE Best Companies to work and Glassdoor Best Places to Work (globally 4.4 Stars) to name a few. Check out Experian Life on social or our Careers Site to understand why.
 
 
 Experian is proud to be an Equal Opportunity and Affirmative Action employer. Innovation is a critical part of Experian's DNA and practices, and our diverse workforce drives our success. Everyone can succeed at Experian and bring their whole self to work, irrespective of their gender, ethnicity, religion, color, sexuality, physical ability or age. If you have a disability or special need that requires accommodation, please let us know at the earliest opportunity.
 
 
 Experian Careers - Creating a better tomorrow together
 
 
 
 Benefits
 
 
 
 Experian care for employee's work life balance, health, safety and wellbeing. In support of this endeavor, we offer best-in-class family well-being benefits, enhanced medical benefits and paid time off.
 
 
 Experian Careers - Creating a better tomorrow together
 
 
 Find out what its like to work for Experian by clicking here
 
 
</div>

Automation Engineer

DAZN India

<div>
 
 Is your next career move to work in a team which uses data, reporting and analytical skills to help answer business questions to make DAZN a data-driven company?
 
 
 DAZN is a tech-first sport streaming platform that reaches millions of users every week. We are challenging a traditional industry and giving power back to the fans. Our new Hyderabad tech hub will be the engine that drives us forward to the future. We&rsquo;re pushing boundaries and doing things no-one has done before. Here, you have the opportunity to make your mark and the power to make change happen - to make a difference for our customers. When you join DAZN you will work on projects that impact millions of lives thanks to your critical contributions to our global products
 
 
 This is the perfect place to work if you are passionate about technology and want an opportunity to use your creativity to help grow and scale a global range of IT systems, Infrastructure, and IT Services. Our cutting-edge technology allows us to stream sports content to millions of concurrent viewers globally across multiple platforms and devices. DAZN&rsquo;s Cloud based architecture unifies a range of technologies to deliver a seamless user experience and support a global user base and company infrastructure.
 
 
 This role will be based in our brand-new Hyderabad office. Join us in India&rsquo;s beautiful &ldquo;City of Pearls&rdquo; and bring your ambition to life. Considering the Urgency, we are only seeking Immediate Joiners
 
 
 
 Job Title
 
 :
 
 Data Scientist
 
 
 
 
 Location: Hyderabad
 
 
 
 
 Work Mode: Work from Office.
 
 
 
 
 Seeking Immediate Joiners only
 
 .
 
 
 
 Job Summary:
 
 
 
 We are seeking a passionate and experienced Data Scientist / Machine Learning Engineer with a strong foundation in Machine Learning, Deep Learning, and Generative AI (GenAI). The ideal candidate will have hands-on experience with modern AI frameworks and libraries, a proven ability to design, develop, and deploy scalable ML solutions, and expertise in working with Large Language Models (LLMs).
 
 
 You will leverage your skills to drive impactful solutions, staying at the forefront of advancements in ML, DL, and GenAI. You will work on cutting-edge projects, incorporating the latest technologies into production-ready systems. If you are excited about advancing your career in a dynamic, innovation-driven environment, we invite you to join us!
 
 
 
 Key Responsibilities:
 
 
 
 &bull; Role Recommendation Engine, for Data accuracy-Develop, train, and fine-tune machine learning and deep learning models for diverse business use cases. With an Overall experience of (2-6 Years)
 
 
 &bull; Work with Generative AI and LLMs, including customizing, fine-tuning, and deploying models for real-world applications.
 
 
 &bull; Stay updated with the latest advancements in Machine Learning, Deep Learning, and Generative AI, and incorporate them into projects.
 
 
 
 Required Skills:
 
 
 
 &bull; Machine Learning Frameworks: Proficiency in Scikit-learn, TensorFlow or PyTorch.
 
 
 &bull; Deep Learning: Experience building and training deep learning models, including CNNs, RNNs, Transformers, and other architectures.
 
 
 &bull; Generative AI: Hands-on experience with Generative AI models, including fine-tuning and deploying LLMs.
 
 
 &bull; Programming: Strong skills in Python; familiarity with libraries like NumPy, pandas, and Matplotlib.
 
 
 &bull; Data Handling: Experience working with structured and unstructured data, including text, images, and time-series.
 
 
 
 Good to have Skills:
 
 
 
 &bull; Exposure to tools like Hugging Face Transformers for working with LLMs.
 
 
 &bull; Understanding of MLOps practices, including CI/CD pipelines for ML models.
 
 
 &bull; Experience with GPU-accelerated computing.
 
 
 &bull; Experience with distributed training frameworks (e.g., Horovod, PyTorch Lightning).
 
 
 &bull; Cloud Platforms: Familiarity with cloud services like AWS
 
 
 
 Qualifications:
 
 
 
 &bull; Bachelor&rsquo;s or Master&rsquo;s degree in Computer Science, Data Science, Machine Learning, or a related field.
 
 
 &bull; 3 - 6+ years of professional experience in Machine Learning and Deep Learning.
 
 
 &bull; Proven track record of deploying ML/DL models in production environments.
 
</div>

Data Scientist

Microsoft

<div>
 Microsoft is a company where passionate innovators come to collaborate, envision what can be and take their careers to levels they cannot achieve anywhere else. This is a world of more possibilities, more innovation, more openness in a cloud-enabled world.  The Business &amp; Industry Copilots group is a rapidly growing organization that is responsible for the Microsoft Dynamics 365 suite of products, Power Apps, Power Automate, Dataverse, AI Builder, Microsoft Industry Solution and more. Microsoft is considered one of the leaders in Software as a Service in the world of business applications and this organization is at the heart of how business applications are designed and delivered.
 
 
 We are looking for a
 
 Software Engineer
 
 to join our team!
 
 
 
 Microsoft Copilot Studio
 
 is a critical and strategic product for Microsoft in the Copilot and Agentic AI era, empowering users to create, deploy, and manage AI-driven agents effortlessly. As a global, distributed Azure-based platform, we operate highly scalable, multi-tenant microservices to make agent building simple, impactful, and enterprise-ready.
 
 
 We are the Agent Lifecycle and Admin Experiences team at Microsoft Copilot Studio, based in IDC, where we focus on building seamless, secure, and scalable solutions that power the agent ecosystem. You will be a part of a team of engineers who thrive on solving complex problems at scale while doing it with impeccable quality.  You will play a crucial role in designing, developing and maintaining highly scalable, available, reliable, secure and efficient solutions that change the world of our customers.
 
 
 Microsoft&rsquo;s mission is to empower every person and every organization on the planet to achieve more. As employees we come together with a growth mindset, innovate to empower others, and collaborate to realize our shared goals. Each day we build on our values of respect, integrity, and accountability to create a culture of inclusion where everyone can thrive at work and beyond.
 
 
 
 Responsibilities
 
 
 
 Responsibilities include:
 
 
 <ul>
 <li>
 Works with appropriate stakeholders to determine user requirements for a feature.
 </li>
 <li>
 Supports identification of dependencies, and the development of design documents for a product feature with oversight.
 </li>
 <li>
 With guidance, learns to create and implement code for a product, service, or feature reusing code as applicable.
 </li>
 <li>
 Communicate effectively and partner well with other disciplines and other teams to deliver high quality production code.
 </li>
 <li>
 Creates and implements code for a product, service, or feature, reusing code as applicable.
 </li>
 <li>
 Assists and learns about breaking down work items into tasks and provides estimation.
 </li>
 <li>
 Acts as a Designated Responsible Individual (DRI) in monitoring system/product feature/service for degradation, downtime, or interruptions for simple problems, and recommends actions to restore system/product/service by following the playbook.
 </li>
 <li>
 Reviews current developments and proactively seeks new knowledge that will improve the availability, reliability, efficiency, observability, and performance of products while also driving consistency in monitoring and operations at scale.
 
 
 </li>
 </ul>
 
 Qualifications
 
 
 
 <ul>
 <li>
 Bachelor's Degree in Computer Science or related technical field AND 2+ years technical engineering experience with coding in languages including, but not limited to, C, C++, C#, Java, JavaScript, or Python OR
 </li>
 <li>
 Master's Degree in Computer Science or related technical field AND 1+ years technical engineering experience with coding in languages including, but not limited to, C, C++, C#, Java, JavaScript, or Python or equivalent experience.
 
 
 </li>
 </ul>
 
 Other Requirements
 
 
 
 Ability to meet Microsoft, customer and/or government security screening requirements are required for this role. These requirements include, but are not limited to the following specialized security screenings: Microsoft Cloud Background Check:
 
 
 <ul>
 <li>
 This position will be required to pass the Microsoft Cloud background check upon hire/transfer and every two years thereafter.
 
 
 </li>
 </ul>
 
 Preferred/Additional Qualifications
 
 
 
 <ul>
 <li>
 Excellent verbal, written, and cross-team collaboration skills.
 </li>
 <li>
 Passion for improving software quality and engineering excellence.
 </li>
 <li>
 A team player and collaborator, across time zones and diverse stakeholder groups.
 </li>
 <li>
 Passion for improving software quality and engineering excellence.
 </li>
 <li>
 Experience with building infrastructure using Microsoft Azure, AWS, or Google Cloud.
 
 
 </li>
 </ul>
 
 #BICJobs #CopilotStudio
 
 
 
 Microsoft is an equal opportunity employer. Consistent with applicable law, all qualified applicants will receive consideration for employment without regard to age, ancestry, citizenship, color, family or medical care leave, gender identity or expression, genetic information, immigration status, marital status, medical condition, national origin, physical or mental disability, political affiliation, protected veteran or military status, race, ethnicity, religion, sex (including pregnancy), sexual orientation, or any other characteristic protected by applicable local laws, regulations and ordinances. If you need assistance and/or a reasonable accommodation due to a disability during the application process, read more about requesting accommodations.
</div>

Software Engineer

<div>
 At EY, you&rsquo;ll 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 we&rsquo;re 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.
 
 
 
 Job Description
 
 :
 
 EY GDS &ndash; Data and Analytics (D&amp;A) &ndash; Senior &ndash; Senior Data Scientist
 
 
 
 
 Role Overview:
 
 
 
 We are seeking a highly skilled and experienced Senior Data Scientist with a minimum of 3 - 7 years of experience in Data Science and Machine Learning, preferably with experience in NLP, Generative AI, LLMs, MLOps, Optimization techniques, and AI solution Architecture. In this role, you will play a key role in the development and implementation of AI solutions, leveraging your technical expertise. The ideal candidate should have a deep understanding of AI technologies and experience in designing and implementing cutting-edge AI models and systems. Additionally, expertise in data engineering, DevOps, and MLOps practices will be valuable in this role.
 
 
 
 Responsibilities:
 
 
 
 
 Your technical responsibilities:
 
 
 
 <ul>
 <li>
 Contribute to the design and implementation of state-of-the-art AI solutions.
 </li>
 <li>
 Assist in the development and implementation of AI models and systems, leveraging techniques such as Language Models (LLMs) and generative AI.
 </li>
 <li>
 Collaborate with stakeholders to identify business opportunities and define AI project goals.
 </li>
 <li>
 Stay updated with the latest advancements in generative AI techniques, such as LLMs, and evaluate their potential applications in solving enterprise challenges.
 </li>
 <li>
 Utilize generative AI techniques, such as LLMs, to develop innovative solutions for enterprise industry use cases.
 </li>
 <li>
 Integrate with relevant APIs and libraries, such as Azure Open AI GPT models and Hugging Face Transformers, to leverage pre-trained models and enhance generative AI capabilities.
 </li>
 <li>
 Implement and optimize end-to-end pipelines for generative AI projects, ensuring seamless data processing and model deployment.
 </li>
 <li>
 Utilize vector databases, such as Redis, and NoSQL databases to efficiently handle large-scale generative AI datasets and outputs.
 </li>
 <li>
 Implement similarity search algorithms and techniques to enable efficient and accurate retrieval of relevant information from generative AI outputs.
 </li>
 <li>
 Collaborate with domain experts, stakeholders, and clients to understand specific business requirements and tailor generative AI solutions accordingly.
 </li>
 <li>
 Conduct research and evaluation of advanced AI techniques, including transfer learning, domain adaptation, and model compression, to enhance performance and efficiency.
 </li>
 <li>
 Establish evaluation metrics and methodologies to assess the quality, coherence, and relevance of generative AI outputs for enterprise industry use cases.
 </li>
 <li>
 Ensure compliance with data privacy, security, and ethical considerations in AI applications.
 </li>
 <li>
 Leverage data engineering skills to curate, clean, and preprocess large-scale datasets for generative AI applications.
 
 
 </li>
 </ul>
 
 Requirements:
 
 
 
 <ul>
 <li>
 Bachelor's or Master's degree in Computer Science, Engineering, or a related field. A Ph.D. is a plus.
 </li>
 <li>
 Minimum 3-7 years of experience in Data Science and Machine Learning.
 </li>
 <li>
 In-depth knowledge of machine learning, deep learning, and generative AI techniques.
 </li>
 <li>
 Proficiency in programming languages such as Python, R, and frameworks like TensorFlow or PyTorch.
 </li>
 <li>
 Strong understanding of NLP techniques and frameworks such as BERT, GPT, or Transformer models.
 </li>
 <li>
 Familiarity with computer vision techniques for image recognition, object detection, or image generation.
 </li>
 <li>
 Experience with cloud platforms such as Azure, AWS, or GCP and deploying AI solutions in a cloud environment.
 </li>
 <li>
 Expertise in data engineering, including data curation, cleaning, and preprocessing.
 </li>
 <li>
 Knowledge of trusted AI practices, ensuring fairness, transparency, and accountability in AI models and systems.
 </li>
 <li>
 Strong collaboration with software engineering and operations teams to ensure seamless integration and deployment of AI models.
 </li>
 <li>
 Excellent problem-solving and analytical skills, with the ability to translate business requirements into technical solutions.
 </li>
 <li>
 Strong communication and interpersonal skills, with the ability to collaborate effectively with stakeholders at various levels.
 </li>
 <li>
 Understanding of data privacy, security, and ethical considerations in AI applications.
 </li>
 <li>
 Track record of driving innovation and staying updated with the latest AI research and advancements.
 
 
 </li>
 </ul>
 
 Good to Have Skills:
 
 
 
 <ul>
 <li>
 Apply trusted AI practices to ensure fairness, transparency, and accountability in AI models and systems.
 </li>
 <li>
 Utilize optimization tools and techniques, including MIP (Mixed Integer Programming).
 </li>
 <li>
 Drive DevOps and MLOps practices, covering continuous integration, deployment, and monitoring of AI models.
 </li>
 <li>
 Implement CI/CD pipelines for streamlined model deployment and scaling processes.
 </li>
 <li>
 Utilize tools such as Docker, Kubernetes, and Git to build and manage AI pipelines.
 </li>
 <li>
 Apply infrastructure as code (IaC) principles, employing tools like Terraform or CloudFormation.
 </li>
 <li>
 Implement monitoring and logging tools to ensure AI model performance and reliability.
 </li>
 <li>
 Collaborate seamlessly with software engineering and operations teams for efficient AI model integration and deployment.
 </li>
 <li>
 Familiarity with DevOps and MLOps practices, including continuous integration, deployment, and monitoring of AI models.
 
 
 </li>
 </ul>
 
 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.
</div>

EY - GDS Consulting - AI And DATA - Gen AI - Senior

Xemplar Insights

<div>
 
 
 
 Must Have Skills:
 
 
 
 <ol>
 <li>
 Machine learning techniques: regression, classification, clustering, deep learning
 </li>
 <li>
 Programming languages: Python, R
 </li>
 <li>
 Machine learning libraries: TensorFlow, scikit-learn, PyTorch
 </li>
 <li>
 Data wrangling, feature engineering
 </li>
 <li>
 Model validation and testing
 </li>
 <li>
 Cloud platforms, distributed computing, big data technologies
 </li>
 </ol>
 
 
 
 
 
 
 Nice to Have Skills:
 
 
 
 <ol>
 <li>
 Knowledge of P&amp;C Insurance domain
 </li>
 <li>
 Experience working with US-based customers
 </li>
 <li>
 Experience in leading teams or projects
 </li>
 <li>
 Experience with high-performance computing
 </li>
 <li>
 GenAi Skills, Experience with LLMs.
 </li>
 </ol>
 
 
 
 
 
 
 Job Responsibilities of this position:
 
 
 
 
 1. Architect the design and development of AI/ML predictive models that significantly enhance decision-making processes for clients, leveraging their own historical data sets and industry insights.
 
 
 2. Engage with senior executives and key stakeholders to fully understand their business needs, strategic objectives, and data requirements, ensuring the AI/ML models are precisely tailored to deliver maximum business value.
 
 
 3. Oversee the implementation, testing, and validation of machine learning algorithms, ensuring that the models are not only accurate but also scalable, reliable, and robust for enterprise-level production environments.
 
 
 4. Collaborate cross-functionally with product managers, engineers, and data scientists to integrate AI/ML models into Xemplar&rsquo;s product ecosystem, optimizing performance and efficiency across multiple teams.
 
 
 5. Provide expert analysis and interpretation of complex data sets from various sources, delivering actionable insights that inform business decisions and improve the accuracy and predictive power of models.
 
 
 6. Stay ahead of emerging AI/ML trends and innovations, actively incorporating cutting-edge research, techniques, and best practices into the modeling and development processes.
 
 
 7. Drive the technical vision and strategic direction for AI/ML initiatives, mentoring and guiding less experienced team members while also establishing best practices and a culture of continuous improvement.
 
 
 8. Partner with business analysts, frontend, mid-tier, and backend developers to ensure the development, deployment, and performance of production applications that effectively utilize AI/ML models to deliver real-world impact.
 
 
 
 
 
 Required Relevant Experience:
 
 <ol>
 <li>
 5+ years of experience in developing and deploying AI/ML predictive models in production environments, with a strong portfolio of successful enterprise-scale projects and solutions.
 </li>
 <li>
 Expertise in machine learning techniques, including but not limited to regression, classification, clustering, time series analysis, and deep learning.
 </li>
 <li>
 Advanced proficiency in programming languages such as Python, R, or similar, and mastery of machine learning libraries (e.g., TensorFlow, scikit-learn, PyTorch).
 </li>
 <li>
 Extensive experience with data wrangling, feature engineering, and working with large, complex, high-volume datasets.
 </li>
 <li>
 Proven track record in model validation and testing, ensuring models are robust, reliable, and scalable across different use cases and environments.
 </li>
 <li>
 Deep understanding of the P&amp;C Insurance domain, with specific experience in areaslike claims prediction, risk modeling, pricing optimization, and customer segmentation.
 </li>
 <li>
 Strong ability to communicate complex technical concepts to senior, non-technical stakeholders, influencing decision-making at the highest levels.
 </li>
 <li>
 Significant hands-on experience working with both structured and unstructured data atscale, with expertise in cloud platforms, distributed computing, and big data technologies.
 </li>
 <li>
 5+ years of experience in predictive model development, data mining, statistical modeling, and high-performance computing in complex enterprise environments.
 </li>
 </ol>
 
 
 
 
 
 
 
 
 Years of experience required:
 
 3 to 5+ years
 
 
 
 Location:
 
 Hyderabad
 
 
 
 Mode of work:
 
 Work of Office (All 5 days a week Work from office)
 
 
 
</div>

Google

<div>
 Note: By applying to this position you will have an opportunity to share your preferred working location from the following:
 
 Bengaluru, Karnataka, India; Hyderabad, Telangana, India; Gurgaon, Haryana, India; Mumbai, Maharashtra, India; Pune, Maharashtra, India
 
 .
 
 Minimum qualifications:
 
 
 
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 Bachelor's degree or equivalent practical experience.
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 Experience working with Unix/Linux environments, distributed systems, machine learning, information retrieval, and TCP/IP.
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 Experience programming in C, C++, Java, or Python.
 
 
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 Preferred qualifications:
 
 
 
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 Bachelor's degree or advanced degree in Computer Science or Computer Engineering, or a related field.
 
 
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 About The Job
 
 
 
 Google's software engineers develop the next-generation technologies that change how billions of users connect, explore, and interact with information and one another. Our products need to handle information at massive scale, and extend well beyond web search. We're looking for engineers who bring fresh ideas from all areas, including information retrieval, distributed computing, large-scale system design, networking and data storage, security, artificial intelligence, natural language processing, UI design and mobile; the list goes on and is growing every day. As a software engineer, you will work on a specific project critical to Google&rsquo;s needs with opportunities to switch teams and projects as you and our fast-paced business grow and evolve. We need our engineers to be versatile, display leadership qualities and be enthusiastic to take on new problems across the full-stack as we continue to push technology forward.
 
 
 As a key member of a small and versatile team, you design, test, deploy and maintain software solutions.
 
 
 Google is an engineering company at heart. We hire people with a broad set of technical skills who are ready to take on some of technology's greatest challenges and make an impact on users around the world. At Google, engineers not only revolutionize search, they routinely work on scalability and storage solutions, large-scale applications and entirely new platforms for developers around the world. From Google Ads to Chrome, Android to YouTube, social to local, Google engineers are changing the world one technological achievement after another.
 
 
 
 Responsibilities
 
 
 
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 Research, conceive, and develop software applications to extend and improve on Google's product offering.
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 Contribute to a wide variety of projects utilizing natural language processing, artificial intelligence, data compression, machine learning, and search technologies.
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 Collaborate on scalability issues involving access to data and information.
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 Solve challenges/problems that you are presented with.
 
 
 
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 Google is proud to be an equal opportunity workplace and is an affirmative action employer. We are committed to equal employment opportunity regardless of race, color, ancestry, religion, sex, national origin, sexual orientation, age, citizenship, marital status, disability, gender identity or Veteran status. We also consider qualified applicants regardless of criminal histories, consistent with legal requirements. See also Google's EEO Policy and EEO is the Law. If you have a disability or special need that requires accommodation, please let us know by completing our Accommodations for Applicants form .
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Software Engineer, University Graduate, 2026

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