1197 Aiml Jobs - Page 22

You are a strategic thinker passionate about driving solutions in Data Analytics. You have found the right team. As an Analytics Solutions Vice President in our Finance team, you will define, refine, and deliver our firm's goals. If you're a skilled data professional passionate about transforming raw data into actionable insights and eager to learn and implement new technologies, you've found the right team. Join us in the Finance Data & Insights Team, an agile product team focused on developing, producing, and transforming financial data and reporting across CCB. Your role will involve creating data visualizations and intelligence solutions for top leaders to achieve strategic goals. You'll identify opportunities to eliminate manual processes and use automation tools like Alteryx, Tableau, and ThoughtSpot to develop automated solutions. Additionally, you'll extract, analyze, and summarize data for ad hoc requests and contribute to modernizing our data environment to a cloud platform. Job responsibilities: - Lead Data & Analytics requirements gathering sessions with varying levels of leadership and complete detailed project planning using JIRA to record planned project execution steps. - Understand databases, ETL processes, and translate logic into requirements for the Technology team. - Develop and enhance Alteryx workflows by collecting data from disparate sources and summarizing it as defined in requirements gathering with stakeholders, following best practices to source data from authoritative sources. - Develop data visualization solutions using Tableau and/or ThoughtSpot to provide intuitive insights to key stakeholders. - Conduct thorough control testing of each component of the intelligence solution, providing evidence that all data and visualizations offer accurate insights and evidence in the control process. - Seek to understand stakeholder use cases to anticipate their requirements, questions, and objections. - Become a subject matter expert in these responsibilities and support team members in becoming more proficient. Required qualifications, capabilities, and skills: - Bachelor's degree in MIS or Computer Science, Mathematics, Engineering, Statistics, or other quantitative or financial subject areas - People management experience of at least 3 years is required - Experience with business intelligence analytic and data wrangling tools such as Alteryx, SAS, or Python - Experience with relational databases optimizing SQL to pull and summarize large datasets, report creation and ad-hoc analyses, Databricks, Cloud solutions - Experience in reporting development and testing, and ability to interpret unstructured data and draw objective inferences given known limitations of the data - Demonstrated ability to think beyond raw data and to understand the underlying business context and sense business opportunities hidden in data - Strong written and oral communication skills; ability to communicate effectively with all levels of management and partners from a variety of business functions - Experience with ThoughtSpot or similar tools empowering stakeholders to better understand their data - Highly motivated, self-directed, curious to learn new technologies Preferred qualifications, capabilities, and skills: - Experience with ThoughtSpot / Python major advantage - Experience with AI/ML or LLM added advantage but not a must-have. Minimum 8 years experience developing advanced data visualization and presentations preferably with Tableau - Experience with Hive, Spark SQL, Impala, or other big-data query tools. AWS, Databricks, Snowflake, or other Cloud Data Warehouse experience - Minimum of 8 years experience working with data analytics projects, preferably related to financial services domain,

Oraczen is at the forefront of Generative AI, pioneering next-generation AI-driven applications that redefine industry standards. The company is committed to innovation, collaboration, and technical excellence, enabling enterprises to seamlessly integrate artificial intelligence into their operations. The team at Oraczen consists of top-tier AI experts, engineers, and product innovators dedicated to pushing the boundaries of AI/ML applications. The company fosters a culture of continuous learning, inclusion, and excellence to create cutting-edge solutions that transform businesses. As a Product Architect at Oraczen, you will lead the development of scalable, high-performance AI applications. With over 10 years of expertise in Python and AI/ML, you will collaborate with AI researchers, product managers, and software architects to design and implement cutting-edge AI-driven solutions. Your role will involve developing advanced Generative AI models and optimizing machine learning frameworks to solve complex industry challenges. Key Responsibilities: - Architect, design, and develop enterprise-grade AI applications using Python and leading AI/ML frameworks. - Provide technical leadership and mentorship to engineering teams, fostering a culture of excellence and innovation. - Collaborate with cross-functional teams to define AI system architectures for various applications. - Develop and optimize deep learning and machine learning models in areas such as Natural Language Processing, Computer Vision, and Generative AI. - Implement and fine-tune large-scale AI models to ensure efficiency, accuracy, and performance in real-world applications. - Lead code reviews, technical discussions, and AI research initiatives to uphold high coding standards and drive innovation. - Troubleshoot, debug, and optimize AI-driven applications to enhance scalability, reliability, and user experience. - Stay updated on industry trends by researching and integrating cutting-edge AI methodologies and technologies. - Design and implement MLOps pipelines for streamlined AI model deployment, monitoring, and maintenance. - Contribute to patents, research publications, and open-source AI projects to drive thought leadership in the AI industry. Qualifications & Skills: - Bachelor's or master's degree in computer science, Software Engineering, or a related field (PhD preferred). - 10+ years of experience in software development with a strong focus on Python and AI/ML. - Extensive knowledge of Generative AI, Deep Learning, and Machine Learning frameworks such as TensorFlow, PyTorch, Hugging Face, and OpenAI APIs. - Proven expertise in Natural Language Processing, Computer Vision, or Large Language Models. - Hands-on experience in cloud platforms (AWS, Azure, GCP) and containerization technologies (Docker, Kubernetes). - Strong understanding of scalable AI architectures, distributed computing, and data engineering best practices. - Experience with MLOps tools and techniques for deploying AI models in production environments. - Excellent problem-solving skills and the ability to thrive in a fast-paced, agile development environment. - Strong leadership, mentorship, and technical communication skills to collaborate effectively with engineering teams. Why Join Us - Lead the development of cutting-edge AI-driven applications in an innovative, future-focused company. - Work alongside top-tier AI experts and engineers on groundbreaking projects. - Competitive salary, equity options, and comprehensive benefits package. - A collaborative and inclusive team culture that encourages continuous learning and professional growth. - Access to state-of-the-art AI research, tools, and high-performance computing resources. - Professional development opportunities, including AI conferences, certifications, and leadership training.,

As the Head of Engineering at KonProz GPT, you will play a crucial role in leading our engineering team to drive technical innovation and ensure the successful development and deployment of advanced AI systems for our cutting-edge platform. Your deep technical expertise in AI/ML and Generative AI will be instrumental in shaping the technical vision, architecture, and implementation of our technology. Your key responsibilities will include leading and managing a team of engineers focused on AI/ML and Generative AI solutions. You will oversee the design, development, and deployment of advanced AI systems for the KonProz GPT platform, ensuring that engineering practices meet the highest standards. Collaboration with cross-functional teams to align technical efforts with business goals will be essential. Staying current with AI/ML trends and incorporating best practices into the platform will be a part of your role. Your hands-on coding contributions and mentorship to the engineering team will be crucial in delivering scalable, secure, and efficient software solutions. Your expertise in ensuring the product meets legal, tax, and regulatory requirements will be valuable, given your in-depth knowledge of these sectors. To qualify for this role, you should have 6-7 years of hands-on experience in AI/ML, Generative AI, and related technologies. Proven experience in managing engineering teams while also being technically involved is required. Proficiency in Python is a must-have, and familiarity with Java, Go, and R is preferred. A strong understanding of frontend technologies, particularly Next.js, and experience with backend technologies like Node.js is essential. Knowledge of authentication systems like Auth0 and experience with server and database technologies, especially AWS and Firestore, is required. Additionally, you should have a strong understanding of AI/ML frameworks, algorithms, and deployment practices. Good knowledge of the legal, tax, and regulatory sectors in India is important. A Bachelors or Masters degree in Computer Science or a related field is preferred. Your problem-solving skills and ability to thrive in a fast-paced environment will be key to your success in this role.,

At EY, you'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 yourself. Your unique voice and perspective are essential to help EY become even better. Join us to build an exceptional experience for yourself and contribute to creating a better working world for all. We are seeking individuals with strong Power Platform skills who are eager to learn new technologies in the process automation space such as RPA, AI/ML, Cognitive, Conversational Chat, and Gen AI. The ideal candidate should have a minimum of 3-5 years of relevant experience, with at least 3+ years of hands-on experience on Power Platform. You should have a detailed understanding of canvas apps, model-driven apps, power pages, power automate digital flows, and power automate desktop. Additionally, basic knowledge of Power BI, Power Virtual Agents, AI concepts using AI Builder and Co-Pilot, Dataverse, environment management, and database systems like SQL or Oracle is required. Your responsibilities will include interfacing with Architects and customers to understand business processes and system requirements, independently architecting and designing Power platform solutions, leading a development team, and providing technical support during engagement delivery. You should also have experience in developing solutions using automation technologies like Power Platform, AI/ML, and RPA. A certification as a PL 600 Solution Architect in Power Platform is preferred. We are looking for individuals who can mentor junior developers, have hands-on experience with Power Platform implementations, possess deep knowledge of Agile methodologies, and have experience working with JSON, XML, RESTful APIs, and object-oriented programming languages like C#, Java, or .NET full stack. Familiarity with external integrations and knowledge of RPA and DevOps tooling would be advantageous. Excellent written and verbal communication skills are a must, along with the ability to write clear and understandable logic for maintainable code. As part of our team, you will work with professionals who have commercial acumen, technical expertise, and a willingness to learn in a fast-paced environment. You will have the opportunity to collaborate with a market-leading, multi-disciplinary team and work with EY Advisory practices globally across various industries. Working at EY offers you inspiring and meaningful projects, educational opportunities, individual progression plans, challenging assignments, and an interdisciplinary environment that promotes high quality and knowledge exchange. You will receive support, coaching, and feedback from engaging colleagues, opportunities to develop new skills, and the freedom to handle your role in a way that suits you best. EY is dedicated to building a better working world by creating long-term value for clients, people, and society while fostering trust in the capital markets. Our diverse teams globally provide assurance and help clients grow, transform, and operate by asking better questions to find new answers to the complex issues facing the world today.,

ZS is a place where passion changes lives. As a management consulting and technology firm focused on improving life and how we live it, our most valuable asset is our people. Here you will work side-by-side with a powerful collective of thinkers and experts shaping life-changing solutions for patients, caregivers, and consumers worldwide. ZSers drive impact by bringing a client-first mentality to each and every engagement. We partner collaboratively with our clients to develop custom solutions and technology products that create value and deliver company results across critical areas of their business. Bring your curiosity for learning, bold ideas, courage, and passion to drive life-changing impact to ZS. Our most valuable asset is our people. At ZS, we honor the visible and invisible elements of our identities, personal experiences, and belief systemsthe ones that comprise us as individuals, shape who we are, and make us unique. We believe your personal interests, identities, and desire to learn are part of your success here. Learn more about our diversity, equity, and inclusion efforts and the networks ZS supports to assist our ZSers in cultivating community spaces, obtaining the resources they need to thrive, and sharing the messages they are passionate about. **Engineering Manager** We are seeking a highly skilled Engineering Manager with expertise in development and a strong background in backend engineering, architecture, and software engineering. The ideal candidate will have strong experience working with Python, cloud platforms (AWS, Azure, GCP), and DevOps tools. They will be responsible for designing and developing scalable software solutions, leading architecture design, and ensuring the performance and reliability of our systems. **What You'll Do:** - Take ownership of architecture design and development of scalable and distributed software systems. - Translate business to technical requirements. - Oversee technical execution, ensuring code quality, adherence to deadlines, and efficient resource allocation. - Data-driven decision-making skills with a focus on achieving product goals. - Design and develop data ingestion and processing pipelines capable of handling large-scale events. - Responsible for the complete software development lifecycle, including requirements analysis, design, coding, testing, and deployment. - Utilize AWS services/Azure services like IAM, Monitoring, Load Balancing, Autoscaling, Database, Networking, storage, ECR, AKS, ACR, etc. - Implement DevOps practices using tools like Docker, Kubernetes to ensure continuous integration and delivery. Develop DevOps scripts for automation and monitoring. - Collaborate with cross-functional teams, conduct code reviews, and provide guidance on software design and best practices. **What You'll Bring:** - Masters or PhD degree in computer science, Information Technology, or a related field (or equivalent work experience). - At least 10+ years of experience in software development, with relevant work experience. - Strong coding skills with proficiency in Python, Java, or C++. - Experience with API frameworks both stateless and stateful such as FastAPI, Django, Spring, Spring Boot. - Proficient in cloud platforms, specifically AWS, Azure, or GCP. - Hands-on experience with DevOps tools including Docker, Kubernetes, and AWS services. - Strong understanding of scalable application design principles and experience with security best practices and compliance with privacy regulations. - Good knowledge of software engineering practices like version control (GIT), DevOps (Azure DevOps preferred), and Agile or Scrum. - Strong communication skills, with the ability to effectively convey complex technical concepts to a diverse audience. - Experience of SDLC and best practices while development. - Preferred experience with AI/ML based product development. - Experience with Agile methodology for continuous product development and delivery. - Experience in managing a development team. - Experience in managing consumer-grade production applications. **Perks & Benefits:** ZS offers a comprehensive total rewards package including health and well-being, financial planning, annual leave, personal growth, and professional development. Our robust skills development programs, multiple career progression options, internal mobility paths, and collaborative culture empower you to thrive as an individual and global team member. We are committed to giving our employees a flexible and connected way of working. A flexible and connected ZS allows us to combine work from home and on-site presence at clients/ZS offices for the majority of our week. The magic of ZS culture and innovation thrives in both planned and spontaneous face-to-face connections. **Travel:** Travel is a requirement at ZS for client-facing ZSers; the business needs of your project and client are the priority. While some projects may be local, all client-facing ZSers should be prepared to travel as needed. Travel provides opportunities to strengthen client relationships, gain diverse experiences, and enhance professional growth by working in different environments and cultures. **Considering applying ** At ZS, we're building a diverse and inclusive company where people bring their passions to inspire life-changing impact and deliver better outcomes for all. We are most interested in finding the best candidate for the job and recognize the value that candidates with all backgrounds, including non-traditional ones, bring. If you are interested in joining us, we encourage you to apply even if you don't meet 100% of the requirements listed above. ZS is an equal opportunity employer and is committed to providing equal employment and advancement opportunities without regard to any class protected by applicable law. **To Complete Your Application:** Candidates must possess or be able to obtain work authorization for their intended country of employment. An online application, including a full set of transcripts (official or unofficial), is required to be considered. **NO AGENCY CALLS, PLEASE.** **Find Out More At:** www.zs.com,

The AI and Predictive Analytics Specialist plays a crucial role in harnessing the power of advanced analytics and machine learning to transform data into actionable insights. You will work closely with various departments to understand their analytical needs and develop predictive models that drive strategic initiatives. Your responsibilities include analyzing large datasets, discovering patterns and trends, and creating data visualizations to effectively communicate findings to stakeholders. It is essential to have a solid understanding of statistical analysis, proficiency in programming languages such as Python or R, and experience with data visualization tools like Tableau or Power BI. Collaboration with cross-functional teams is a key aspect of this role as you design and implement predictive models, evaluate performance, and refine algorithms to enhance accuracy. You will be involved in the development and maintenance of analytics tools, preparing detailed reports, and staying updated with the latest advancements in AI and analytics technologies. Additionally, training team members on data analytics best practices, facilitating workshops, and supporting data-driven decision-making are vital responsibilities. To excel in this position, you must possess a Master's degree in Data Science, Computer Science, Statistics, or a related field, along with proven experience in predictive analytics and machine learning. Hands-on experience with SQL, database management, and big data technologies like Hadoop and Spark is advantageous. Strong problem-solving skills, project management abilities, and effective communication skills for presenting technical concepts are essential. Adaptability to changing priorities, managing multiple projects simultaneously, and familiarity with data cleaning and preprocessing techniques are also required. Overall, as the AI and Predictive Analytics Specialist, you will contribute significantly to the organization's data-driven strategy, foster a culture of continuous improvement through data insights, and support strategic initiatives with data-driven recommendations. Your expertise in data visualization, statistical analysis, machine learning, predictive analytics, data mining, and team collaboration will be instrumental in driving business solutions and enhancing operational efficiency.,

You should have 6-8 years of experience in AI/ML development, with a strong emphasis on Generative AI and Prompt Engineering. Your proficiency in programming languages should include Python as primary, with knowledge of JavaScript, SQL, and NodeJS being beneficial. You must have a strong experience with AI/ML frameworks such as TensorFlow, PyTorch, Transformers, and understanding of Generative AI models including LLMs. Expertise in designing and implementing efficient prompts for Generative AI is necessary, focusing on improving model performance, Guardrails, RAG, Prompting attacks evasion, and user interaction. Experience in integrating AI models with APIs and application servers (Flask, Django, FastAPI) for scalable AI applications is required. You should also have previous experience in Generative AI application development, especially in designing prompts for LLMs. Knowledge of SQL and NoSQL databases like MongoDB for managing AI model inputs and outputs is essential. Experience in Vector Databases, Vector Similarity Search, and Embedding models and frameworks is also a must. It would be good to have experience with cloud platforms like AWS, Azure, and containerization technologies like Docker for deploying AI solutions. A solid understanding of software development best practices including version control (Git), code reviews, testing, and CI/CD pipelines is beneficial. Knowledge of front-end technologies (HTML, CSS, JavaScript) for developing intuitive user interfaces is an advantage. Exposure to Azure AI/ML stack and familiarity with healthcare-related projects or HIPAA compliance is advantageous. Experience in designing multi-lingual Generative AI applications is also an advantage. You should hold a Bachelor's degree in Computer Science, Artificial Intelligence, Machine Learning, or a related field. In addition to the required experience, skills in containerization technologies (Docker), AI/ML development, software development best practices, code, vector databases, PyTorch, prompt engineering, JavaScript, API integration (Flask, FastAPI, Django), Python, AIML, Generative AI models, cloud platforms (AWS, Azure), SQL, databases, HIPAA compliance, multi-lingual Generative AI applications, Transformers, Azure AI/ML stack, front-end technologies (HTML, CSS, JavaScript), NoSQL databases, and API/ML are necessary for this role.,

interested candidates share cv to dikshith.nalapatla@motivitylabs.com Total Experience: 5+ years Relevant:5+years Role: Python Developer with AI ML (Data Scientist) Skills: Python, FastAPI/Flask/Django anyone would be fine GenAI and LLM Experience is a must have, at least 2 projects PyTorch or Tensorflow, scikit-learn, pandas, numpy Cloud technologies - at least 1 out of AWS, GCP, Azure Database - SQL (MySQL, PostGres, SQL server any one would be fine), NoSQL Experience is a good to have Key Responsibilities: Python Web Development: Design, develop, and maintain Python-based web applications using Django or Flask frameworks. Ensure code is efficient, scalable, and maintainable. Cloud Integration: Integrate applications with cloud services, such as AWS, Azure, or Google Cloud, to leverage scalability and reliability. Deploy and manage applications on cloud infrastructure. Containerization: Utilize containerization technologies like Docker to package applications and ensure consistent deployment across different environments. Coding Best Practices: Follow coding best practices, maintain clean and well-documented code, and conduct code reviews to ensure code quality and adherence to coding standards. Software Development Principles: Apply software development principles such as SOLID, DRY (Don't Repeat Yourself), and KISS (Keep It Simple, Stupid) to create efficient and maintainable code. Database Integration: Work with various databases (SQL and NoSQL) to design and implement data models and efficient database queries. API Development: Create RESTful APIs using Django REST framework or similar tools to facilitate data exchange between front-end and back-end systems. Security: Implement security best practices, including authentication, authorization, and data encryption, to protect applications against security vulnerabilities. Performance Optimization: Identify and resolve performance bottlenecks in applications by profiling code and applying optimization techniques. Testing: Develop unit tests and integration tests to ensure the reliability and functionality of web applications. Documentation: Create and maintain technical documentation, including code comments, system architecture diagrams, and API documentation. Continuous Integration/Continuous Deployment (CICD): Set up CICD pipelines to automate build, testing, and deployment processes, ensuring rapid and reliable releases. Code Versioning: Use code versioning systems like Git for collaborative development and code management. Monitoring and Logging: Implement monitoring and logging solutions to track application performance and troubleshoot issues proactively. Good to have: Programming skills in leveraging data manipulation, analysis, and visualization libraries (e.g., pandas, NumPy, Matplotlib, seaborn) to deliver actionable insights and data-driven solutions. Familiarity with big data technologies and cloud platforms is a plus. Familiarity with MLOps platforms like MLFlow. Thorough knowledge of database systems, SQL, and NoSQL databases. Qualifications: Bachelor's degree in Computer Science, Software Engineering, or a related field (Master's degree preferred). Extensive experience in Python web development with Django or Flask. Strong knowledge of cloud services (e.g., AWS, Azure, Google Cloud) and cloud deployment. Good Experience in AI ML interested candidates share cv to dikshith.nalapatla@motivitylabs.com Total Experience: Relevant Experience: Gen AI Experience: ML Experience: Current Role / Skillset: Current CTC: Fixed: Variables(if any): Bonus(if any): Payroll Company(Name): Client Company(Name): Expected CTC: Official Notice Period: Serving Notice (Yes / No): CTC of offer in hand: Last Working Day (in current organization): Location of the Offer in hand: Willing to work from office: ************* 5 DAYS WORK FROM OFFICE MANDATORY ****************

Must-Have: 6-8 years of hands-on experience in AI/ML, LLMs, RAG, and Gen AI . Expertise in Python, TensorFlow, PyTorch, LangChain, Hugging Face . Experience with AWS Bedrock, AWS Nova, Azure AI, Vertex AI, OpenAI APIs . MLOps experience for automating AI model deployment. Hands-on with Vector DBs (Pinecone, FAISS, ChromaDB) . interested candidates share cv to dikshith.nalapatla@motivitylabs.com

At EY, you'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'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. The opportunity at EY's Technology Strategy & Transformation (TST) team is at the forefront of delivering cutting-edge consulting and advisory services to some of the largest enterprises across the globe. The technology practice is recognized by industry analysts as a leader in leveraging business and technology to drive strategic business-led, tech-enabled end-to-end transformation. Clients across all major industries benefit from guidance to achieve business success while delivering strategic IT value. We are currently seeking experienced IT Strategy practitioners who can devise creative new strategies based on trends, insights, and data. The ideal candidate should have experience in advising clients to reset, reimagine, and re-think their business and operating models with tech-enabled solutions that re-energize performance across the enterprise. Key responsibilities include understanding the business strategy & vision, analyzing value chain and business capabilities, assessing the impact of business strategy on business capability model, and guiding clients through large enterprise-wide transformations. The successful candidate should have a strong academic background with BE/B.tech and MBA from top Tier-1 B-schools, along with a background in Strategy Consulting in top-tier consulting firms. Demonstrated experience in driving business workshops and deep-dive technology workshops to develop transformation vision, strategy, roadmaps, and blueprints is required. Experience with large transformations related to customer experience, process re-engineering, digital, cloud, automation, AI/ML/advanced analytics, and next-gen/emerging tech is preferred. Overall skills and attributes for success include understanding the current IT environment and industry IT trends, proven delivery skills, ability to identify opportunities for sell-on work, and experience in managing a portfolio of executive level clients. The role also involves creating points of view on relevant industry trends, solutions, methodologies, and analytical frameworks, and developing long-term trusted advisor relationships with clients. Join EY in building a better working world, where diverse teams in over 150 countries provide trust through assurance and help clients grow, transform, and operate across various service lines to address the complex issues facing the world today.,

You will be the visionary Group Data Product Manager (GPM) for AI/ML & Metadata Management, responsible for leading the development of advanced AI/ML-powered metadata solutions. Your primary focus will be on establishing a cohesive and intuitive Data Platform tailored to cater to a variety of user roles including data engineers, producers, and consumers. Your role involves integrating various tools to create a unified platform that will significantly improve data discoverability, governance, and operational efficiency on a large scale.,

Jamnaa Healthtech Pvt. Ltd. is revolutionizing remote healthcare through the innovative ANVESHAN medical device, designed to facilitate real-time consultations and treatment, connecting patients, doctors, and healthcare professionals. The primary objective of ANVESHAN is to enhance healthcare accessibility and affordability, thereby bridging the gap between rural and urban healthcare services. As a Technical Manager at Jamnaa Healthtech Pvt. Ltd., you will be responsible for overseeing the technical aspects of the medical device and its mobile application. This role necessitates a robust technical background in software, embedded systems, and mobile applications, coupled with a thorough understanding of medical device regulations and compliance. The ideal candidate will collaborate closely with engineering teams, product managers, and regulatory experts to ensure the development of a high-quality, compliant, and scalable healthcare solution. Your key responsibilities will include providing technical leadership for the development of medical device firmware, cloud infrastructure, and mobile applications (iOS & Android). You will be tasked with overseeing system architecture, integration, and security across hardware, embedded software, and mobile applications, ensuring adherence to industry standards and best practices. Additionally, you will lead and coordinate cross-functional teams of embedded engineers, mobile developers, and software engineers, defining technical roadmaps, development milestones, and resource allocation. In terms of qualifications, we are looking for candidates with a Bachelors or Masters degree in Computer Science, Electrical Engineering, Biomedical Engineering, or a related field, along with 5+ years of experience in software development, embedded systems, or HealthTech product development. The ideal candidate should possess hands-on experience with mobile app development (Swift/Kotlin/Flutter), embedded systems (C, C++, Python, RTOS), and cloud infrastructure (AWS/ Azure/GCP), as well as a strong understanding of medical device standards and regulatory compliance. Preference will be given to candidates with experience in AI/ML in healthcare applications and knowledge of Bluetooth Low Energy (BLE), IoT, or sensor-based technology. Jamnaa Healthtech Pvt. Ltd. offers a competitive salary and benefits package, the opportunity to spearhead cutting-edge HealthTech innovations, a dynamic and collaborative work environment, and growth opportunities in the rapidly evolving digital health industry.,

As a Solution Architect at CES, you will play a crucial role in bridging the gap between business requirements and technology solutions. Your responsibilities will include designing and implementing comprehensive solutions that align with both technical feasibility and business objectives. It is essential that these solutions seamlessly integrate with existing systems and add value to the organization. Your expertise in tech stacks such as .Net, .Netcore, JavaScript, SQL, React/Angular, AWS/Azure will be pivotal in delivering successful solutions. Additionally, experience in Data Engineering, AI/ML, and other backend languages will be beneficial. Key Responsibilities: Architecture Design and Development: - Design and implement scalable, reliable, and high-performing ecommerce solutions on the BigCommerce platform. - Lead architecture for frontend and backend, ensuring seamless integration between systems. - Translate business requirements into technical specifications and architecture solutions. Ecommerce Domain Expertise: - Provide deep insight into Ecommerce domain, including catalog management, product pricing, checkout process, and customer experience optimization. - Ensure high-level security and compliance for all ecommerce transactions and uptime. Technology Expertise: - Demonstrated experience in Retail & Ecommerce domain. - Strong background in technology domains like software development, systems engineering, infrastructure, security, data & analytics. - Design, implementation, or consulting experience in applications and infrastructure. - IT development or implementation/consulting experience in software or Internet industries. - Proficiency in services like Analytics, AI/ML, Generative AI, and Modernization. - Cloud Infrastructure expertise in AWS. Adaptability and Problem Solving: - Ability to adapt to new technologies and environments. - Proficient in solution improvement, innovation, and problem-solving. - Strong understanding of technical and financial considerations. Technical Leadership: - Collaborate with development teams to ensure best practices in software architecture, coding, and deployment. - Guide teams in selecting appropriate tools and technologies. - Conduct code reviews, optimize performance, and troubleshoot architectural bottlenecks. Collaboration and Stakeholder Management: - Act as a bridge between technical teams and business stakeholders. - Present architecture solutions to technical and non-technical audiences. - Work with cross-functional teams to deliver end-to-end ecommerce solutions. Qualifications: - Specific domain expertise in Retail & E-commerce. - Technology domain areas experience. - Design, implementation, or consulting in applications and infrastructure experience. - IT development or implementation/consulting in software or Internet industries experience. - Proficiency in Analytics, AI/ML, Generative AI & Modernization. - Adaptability to new technologies. - Hands-on experience with AWS. - Understanding of microservices architecture, API design, and serverless computing. - Strong business acumen. - Experience in Project management methodologies such as Agile/Scrum. Preferred Certifications: - AWS Certified Solutions Architect (Associate or Professional). - BigCommerce Certifications. - Microsoft Azure Solutions Architect (optional). Join CES to enjoy flexible working hours, exposure to advanced technologies, global collaboration opportunities, support for innovative ideas, rewards for performance, skill enhancement through learning programs, and an empowering work atmosphere. Learn more about us at: http://www.cesltd.com/,

As a Lead Software Engineer at Mastercard, you will play a crucial role in the data science and artificial intelligence initiatives that drive our digital transformation forward. Your expertise will guide complex projects from conception to execution, supporting our aggressive growth plans and contributing to the evolution of our data science and AI strategy. Your responsibilities will include providing technical vision and leadership, engaging in prioritization discussions with product and business stakeholders, estimating and managing delivery tasks across the entire development lifecycle, automating software operations, and facilitating code and design decisions within your team. You will be responsible for reporting status, managing risks, driving service integration for enhanced customer experience, conducting demos and acceptance discussions, and ensuring a deep understanding of the technical architecture and dependency systems. In addition, you will be expected to explore new tools and technologies, drive the adoption of technology standards and frameworks, mentor and guide team members, identify process improvements, and promote knowledge sharing within the Guild/Program to enhance productivity and reuse of best practices. To excel in this role, you should hold a Bachelor's degree in computer science, software engineering, or a related field, with at least 8 years of experience in software engineering combined with exposure to data science and machine learning. Proficiency in programming languages such as Python, Java, or Scala, along with frameworks like Pandas and Spring Boot, is essential. Prior experience with MLOps, familiarity with Neural Networks and LLMs, and understanding of operating system internals are highly valued skills. Your ability to debug, troubleshoot, implement standard branching and CI/CD practices, collaborate effectively, and communicate with stakeholders will be crucial. Experience with cloud platforms like AWS, Azure, and Databricks is a plus. If you are an experienced software engineer with a passion for data science and AI, and possess the skills and mindset to drive innovation and excellence in a fast-paced environment, we welcome you to join our dynamic team at Mastercard.,

You will be responsible for serving as a Sr. Solution Consultant specializing in Institutional Assets and Retirement Services at our Pune location. With 16 to 22 years of experience in the BFSI sector, you will need to possess a thorough understanding of the industry trends and client issues. Your role will involve collaborating with Sales teams to identify new opportunities through market research, business analysis, and client profiling. Additionally, you will be required to create proposals, deliver presentations and solution demonstrations, and provide high-level estimates at the Solution, Architecture, and Design level. You will play a crucial role in the entire project lifecycle, from opportunity identification to delivery handover, by liaising with various teams such as Sales, Delivery, Horizontals, and Legal departments. Your expertise in the BFSI space, particularly in the Institutional Assets and Retirement Services domain, will be invaluable in developing strong solutions and engaging with stakeholders effectively. You should have experience in presales, technology solutions, communication, presentation, and stakeholder management. Familiarity with new technology trends such as GenAI, AI/ML, and RPA, as well as the ability to work with geographically distributed teams and undertake domestic and international travels, are essential for this role. In return, you can expect a competitive salary and benefits package, a culture focused on talent development, opportunities to work with cutting-edge technologies, and various employee engagement initiatives. Persistent Ltd. is committed to creating an inclusive environment that values diversity and offers hybrid work options, flexible hours, and accessible facilities for employees with disabilities. If you are looking to accelerate your growth, make a positive impact using the latest technologies, and collaborate in a values-driven work environment, join us at Persistent. Persistent is an Equal Opportunity Employer that promotes diversity and inclusion in the workplace. We encourage applications from qualified individuals of all backgrounds and abilities, ensuring a supportive and inclusive environment where every employee can thrive.,

Service Cloud by Salesforce is a revolutionary customer service platform designed to transform your business's approach to customer support. It empowers your team to deliver efficient, personalized customer service experiences across multiple channels, all in one unified platform. With Service Cloud, you can streamline workflows, automate routine tasks, and leverage AI-powered insights to drive customer satisfaction and loyalty. Whether it's faster case resolution, 360-degree customer views, or real-time analytics, Service Cloud is your key to unlocking exceptional customer service. Join our dynamic team at Salesforce and make a real impact with your work! We're looking for passionate individuals who want to shape the future of our products and deliver exceptional data-driven experiences to our customers. Come be a part of our innovative and collaborative environment, where your skills will thrive, and your ideas will be valued. Apply now, and let's build something extraordinary together! We embrace the hybrid model and celebrate the individual strengths of each team member while encouraging everyone on the team to grow into the best version of themselves. We believe that autonomous teams with the freedom to make decisions will empower individuals, products, companies, and customers to thrive. Your Impact: Our ideal candidate is passionate about crafting a new product to serve thousands of enterprise customers by using innovative technology in AI and striving for the best quality and throughput. As part of this role, you will: - Design, implement, test, and deliver highly scalable enterprise-grade AI/ML solutions from the ground up. - Lead the development of prototypes and rapid experimentation to evaluate new algorithms, models, or approaches, balancing time-to-market with long-term technical investments. - Operate optimally in the hybrid engineering model where engineers are encouraged to craft and complete the vital work to ensure quality in their code as well as in other engineers". - Present your own designs to internal/external groups and review the designs of others. - Develop test strategies, design automation frameworks, write unit/functional tests to drive up code coverage and automation metrics for AI/ML systems. - Participate in the team's on-call rotation to address sophisticated problems in real-time and keep services operational and highly available. Required Skills: - 2 to 12 years of professional software development experience in implementing and operating AI/ML at scale. - Proven understanding in at least one high-level programming language (C++, Python, Go, etc.). - Deep domain knowledge and expertise in AI/ML and data analysis is required. - Experience in the ML lifecycle, including model training, deployment, inferencing, and the challenges associated with scaling AI products. - Proficiency in safe AI/ML rollout methodologies, including canarying and A/B testing. - Proven ability to design and architect complex, high-performance systems that support AI workloads. - Excellent interpersonal skills. - Degree or equivalent relevant experience required. Experience will be evaluated based on core competencies (e.g., extracurricular leadership roles, military experience, volunteer roles, work experience). Preferred Skills: - Strong technical expertise in Generative AI, particularly with RAG systems and Agentic workflows that use large language models. - Experience with Agile software development and test-driven development. - Track record of being a top performer in current and past roles. Benefits & Perks: Check out our benefits site which explains our various benefits, including wellbeing reimbursement, generous parental leave, adoption assistance, fertility benefits, and more!,

About Kanerika Kanerika Inc. is a premier global software products and services firm that specializes in providing innovative solutions and services for data-driven enterprises. Co-founded by Wharton Business School Aluminous, our focus is to empower businesses to achieve their digital transformation goals and maximize their business impact through the effective use of data. We leverage cutting-edge technologies and industry best practices to deliver custom solutions that help organizations optimize their operations, enhance customer experiences, and drive growth. Awards and Recognitions Kanerika has won several awards over the years, including: - Best Place to Work 2022 by Great Place to Work - Top 10 Most Recommended RPA Start-Ups in 2022 by RPA Today - Frost & Sullivan India 2021 Technology Innovation Award for its Compass composable solution architecture Kanerika has also been recognized for its commitment to customer privacy and data security, having achieved ISO 27701, SOC2, and GDPR compliances. Working for us Kanerika is rated 4.5/5 on Glassdoor, for many good reasons. We truly value our employees" growth, well-being, and diversity, and people's experiences bear this out. At Kanerika, we offer a host of enticing benefits that create an environment where you can thrive both personally and professionally. From our inclusive hiring practices and mandatory training on creating a safe work environment to our flexible working hours and generous parental leave, we prioritize the well-being and success of our employees. Our commitment to professional development is evident through our mentorship programs, job training initiatives, and support for professional certifications. Additionally, our company-sponsored outings and various time-off benefits ensure a healthy work-life balance. Join us at Kanerika and become part of a vibrant and diverse community where your talents are recognized, your growth is nurtured, and your contributions make a real impact. Role Kanerika is seeking a highly skilled and motivated Senior Delivery Manager to join our dynamic team. Reporting directly to the Co-founder & Head of Delivery, you will be responsible for project deliveries across multiple domains and customers, while providing hands-on expertise in the full software development lifecycle, from concept and design to testing using agile methodology to the team. Ideal candidates would be someone who is proactive, have successfully played customer management & software delivery manager roles, a go-getter, and someone motivated to look for ways to add value to job accomplishments. What you will do - Manage the project teams working on multiple technologies across data integration, automation, and analytics. - Be the technology champion for the customer and single point of contact for delivery and accounts. - Provide greater contribution to developing Technology Center of Excellence (COE) and best practices. - Leverage business acumen and subject matter expertise. - Work across the organization and maintain/build strong working relationships based on experiences/past interactions. - Prioritize and plan complex tasks and deliver with consistent updates without follow-ups. - Participate in management meetings and present high-level achievements, challenges, and roadmaps. Articulate well for growth and mitigate custom escalations. - Mentor directs and coach them to be better leaders and successful technologists. - Implement organizations" policies consistently across your teams and identify star performers. - Proactively communicate for every aspect of your influence i.e. Projects, employees, customers, opportunities, performers, etc. - Collaborate with and contribute to other functions for the success of the company. - Implement and improvise processes that are data and goal-driven. Requirements What you'll bring - Bachelors / Masters degree (CSE or equivalent of Comp Sc). - 12+ years of experience in leading design and software delivery teams. - Grown from the development ranks to Delivery (QA or other support roles that don't involve hands-on coding are excused). - Technically deft in Java/.Net, DB (Any of, but not limited to SQL Server, CITUS, Mongo, Oracle). - Understand streaming Kafka (Or RabbitMQ/any other queuing/messaging technology), CI / CD, and Automation, Selenium. - Hands-on experience working in Cloud environments like AWS/Azure/GCP. - Awareness of basic concepts of data warehousing and AI/ML is a must. - Awareness of RPA is a plus. - Excellent understanding and proven record of complex technology and business solutions in a client-facing environment. - Client relationship management experience and managing multiple clients/projects. - Experience in political and corporate customer environments, understand the power of persuasion, influencing, and a high-level understanding of business processes related to various markets. Strong social skills, written and verbal. - Experience with Agile/Scrum and Project Management methodology (certification Scrum Master, PMP, IPMA, PRINCE2 is an advantage). - Enjoy working in a dynamic organization that is continuously transforming and enjoy enterprise visibility and industry. - Holds expert-level experience and uses professional concepts and company objectives to resolve complex issues in creative and effective ways. - Significant experience leading the Technical Delivery of Enterprise Data management projects. You will have an advantage if you bring - Experience in Java, Microsoft Technologies, Oracle Apps, or Informatica. - Fluency in big data platforms including Hadoop, MapReduce, Hive, Spark. - A strong understanding of data profiling and data cleansing techniques. - Experience in building and rolling out product COEs at enterprise customers. - Experience of working with complex issues where analysis of situations or data requires an in-depth evaluation of variable factors. - Experience in running internal POCs from evaluation to successful exit criteria. Exercises judgment in methods, techniques, and evaluation criteria for obtaining results. - Expert-level database, data management, data engineering, or data management skills. - Published industry white papers, best practices, field guides, and external communications. Benefits Employee Benefits - Culture: - Open Door Policy: Encourages open communication and accessibility to management. - Open Office Floor Plan: Fosters a collaborative and interactive work environment. - Flexible Working Hours: Allows employees to have flexibility in their work schedules. - Employee Referral Bonus: Rewards employees for referring qualified candidates. - Appraisal Process Twice a Year: Provides regular performance evaluations and feedback. - Inclusivity and Diversity: - Hiring practices that promote diversity: Ensures a diverse and inclusive workforce. - Mandatory POSH training: Promotes a safe and respectful work environment. - Health Insurance and Wellness Benefits: - GMC and Term Insurance: Offers medical coverage and financial protection. - Health Insurance: Provides coverage for medical expenses. - Disability Insurance: Offers financial support in case of disability. - Child Care & Parental Leave Benefits:,

Hi, Greetings CGS is hiring 3+ years experienced Data Scientists. Skillset - Python, Ai, ML, LLM, generative Ai, Deep learning, React, Fast API, Cloud No. of positions- 2 Notice period -Immediate to 15 days Location-Chennai (WFO)

Job description Hiring for Ai/ML Lead with experience range 5 years & above Mandatory Skills: Artificial intelligence, Machine learning Education: BE/B.Tech/MCA/M.Tech/MSc./MS Responsibilities A day in the life of an Infoscion As part of the Infosys consulting team, your primary role would be to actively aid the consulting team in different phases of the project including problem definition, effort estimation, diagnosis, solution generation and design and deployment You will explore the alternatives to the recommended solutions based on research that includes literature surveys, information available in public domains, vendor evaluation information, etc. and build POCs You will create requirement specifications from the business needs, define the to-be-processes and detailed functional designs based on requirements. You will support configuring solution requirements on the products; understand if any issues, diagnose the root-cause of such issues, seek clarifications, and then identify and shortlist solution alternatives You will also contribute to unit-level and organizational initiatives with an objective of providing high quality value adding solutions to customers. If you think you fit right in to help our clients navigate their next in their digital transformation journey, this is the place for you!

Dear Aspirant! We empower our people to stay resilient and relevant in a constantly changing world. We’re looking for people who are always searching for creative ways to grow and learn. People who want to make a real impact, now and in the future. Does that sound like youThen it seems like you’d make a great addition to our vibrant international team. We are looking for Lead Software Engineer (AIML Engineer – NLP & Generative AI) , You’ll make an impact by Architect and lead the development of NLP and Generative AI solutions, including LLM integration, RAG pipelines, and multi-agent frameworks. Design and optimize retrieval systems using knowledge graphs and vector databases, improving contextual accuracy and semantic relevance in RAG workflows. Apply advanced techniques (e.g., document chunking strategies, rerankers, hybrid retrieval, query rewriting, feedback loops) to enhance RAG chain precision and reduce hallucinations. Collaborate with ontology/domain experts to integrate structured knowledge bases and semantic relationships into the solution stack. Leverage modern frameworks like Lang Graph, Lang Chain, Llama Index, Smol Agents, and others for orchestrating agent-based and tool-augmented pipelines. Incorporate AWS Bedrock, Sagemaker, Azure ML Studio, Azure OpenAI Service, and Azure AI Foundry for cloud-native scalability and operational efficiency. Ensure high observability and maintainability of AI solutions through robust MLOps practices, logging, and model monitoring. Lead code/design reviews, mentor team members, and help shape long-term AI strategy and technical roadmaps. Collaborate with product, cloud, software, and data engineering teams to deploy impactful AI capabilities in real-world settings. Use your skills to move the world forward! Bachelor’s or Master’s degree in Computer Science, Machine Learning, AI, or a related field. 7+ years of AI/ML experience, with 3–4 years in NLP, and 2+ years in Generative AI applications. Expertise in designing production-grade RAG systems, including single-agent and multi-agent architectures. Solid understanding of LLM internals, prompt engineering, fine-tuning (LoRA, PEFT), and use of open-source and hosted foundation models. Experience with Knowledge Graphs, graph databases (e.g., Neo4j), and semantic enrichment strategies. Proficiency in Python and hands-on experience with frameworks like LangGraph, LlamaIndex, Transformers, and SmolAgents. Knowledge of vector databases (e.g., Azure AI Search, FAISS, Weaviate, Pinecone) and search optimization techniques. Familiarity with model observability tools, evaluation frameworks, and performance diagnostics. Strong experience with AWS and/or Azure managed services for AI development. Experience incorporating ontologies, taxonomies, and domain-specific schemas in knowledge enhanced AI systems. Prior exposure to industrial AI or Electrification/Power sector challenges is a strong plus. Knowledge of hybrid retrieval techniques combining symbolic and statistical methods. Strong stakeholder engagement and mentoring capabilities. Familiarity with compliance, safety, and ethical considerations in LLM deployments. Create a better #TomorrowWithUs! This role is based in Bangalore, where you’ll get the chance to work with teams impacting entire cities, countries - and the shape of things to come. We’re Siemens. A collection of over 312,000 minds building the future, one day at a time in over 200 countries. All employment decisions at Siemens are based on qualifications, merit and business need. Bring your curiosity and imagination and help us shape tomorrow. Find out more about Siemens careers at Find out more about the Digital world of Siemens here /digitalminds

: Job TitleSenior Engineer, AVP LocationPune, India Role Description We are seeking a Data Security Engineer to design, implement and manage security measures that protect sensitive data across our organization. This role focusses on the execution and delivery of Data Security solutions, focusing on configuration, engineering, and integration within a complex enterprise environment. While the role operates within Cybersecurity the person will collaborate with IT, Risk Management, and Business Units on a case-by-case basis, delving Data Security prevention solutions. The ideal candidate understands and manages the existing tool stack within a complex environment, navigates through technical integration challenges and supports the transition from legacy solutions to new solutions within the pillar and across different areas of the bank. This role will work on specific tools like PaloAlto, Zscaler and especially the Google Cloud Platform. This role is ideally has a deep understanding of Cloud Security and Operations in context of GCP, allowing to understand where critical measure in context of Data Security should be applied. What well offer you 100% reimbursement under childcare assistance benefit (gender neutral) Sponsorship for Industry relevant certifications and education Accident and Term life Insurance Your key responsibilities Data Security SolutionsEvaluate, deploy, and manage Data Security solutions (like Data Security Posture Management, Cloud Security Access Broker, etc) and technologies. Ensure that these tools are effectively integrated and configured to protect sensitive data across the organization and different platforms. Data Discovery and ClassificationEnsure the discovery of data and its classification followed by the monitor of data movement and usage to detect and respond to potential data breaches or policy violations. Collaborate to analyse incidents to identify root causes and develop corrective actions. CollaborationWork with IT, legal, and business teams to ensure that Data Security measures align with organizational goals and regulatory requirements. Provide guidance and support to stakeholders on data protection issues. Design and Implement data security frameworks, including encryption, tokenization and anonymization techniques within a hybrid environment Implement cloud-native security controls (e.g., CASB, CSPM, DSPM ) to protect data in SaaS, IaaS, and PaaS environments. Implement Digital Rights Management, encryption and tokenization strategies and solutions to protect data in hybrid environments and prevent unauthorized access and disclosure. Deploy and manage data discovery & classification tools to identify sensitive data across structured and unstructured sources. Implement automated classification and labeling strategies for compliance and risk reduction. Your skills and experience Technical Expertise 5+ years of hands-on experience in Data Security, Information Protection, or Cloud Security. Strong expertise in delivering Data Security platforms (Symantec, Netskope, Zscaler, PaloAlto, Fortinet, etc.). Knowledge of Cloud Service Provisioning and experience with Cloud Security (ideally GCP) and SaaS data protection solutions. Experience with Cloud Security (CASB), SaaS Security Posture Management (SSPM), Data Security Posture Management (DSPM). Proficiency in network security, endpoint protection, and identity & access management (IAM). Scripting knowledge (Python, PowerShell, APIs) for security automation are a plus. Hands-on experience with AI/ML and data security related remediations are a plus. Soft Skills & Collaboration Strong problem-solving and analytical skills to assess security threats and data exposure risks. Ability to work cross-functionally with Security, IT, and Risk teams. Effective written and verbal communication skills, especially when documenting security configurations and investigations. Professional certifications such as CISSP, CISM, CCSP, GIAC (GCIH, GCFA), or CEH. How well support you

Job description Key Responsibilities: Lead the design, development, and deployment of AI/ML solutions for the lending and transaction banking businesses, focusing on high-impact areas like credit scoring, risk assessment, payment processing, and fraud detection. Drive the development and optimization of NLP models and Large Language Models (LLMs) for applications like automated document processing, customer profiling, and customer interaction. Implement vision-based algorithms for document verification, KYC (Know Your Customer) processes, and transaction monitoring. Collaborate with business stakeholders to understand the business processes, define AI-driven features, and ensure smooth integration of machine learning models into the existing technology stack. Ensure best practices in machine learning lifecycle management, including model training, tuning, and deployment in enterprise environments. Guide the team in managing the scalability, performance, and robustness of AI solutions, ensuring they meet the needs of enterprise software systems in transaction banking and lending. Required Skills: 4+ years of experience in developing and deploying AI/ML solutions, with at least 2 years of experience in enterprise software development. Expertise in Deep Learning frameworks like TensorFlow , Pytorch. Strong proficiency in Java, Python, and related programming languages. In-depth understanding of Natural Language Processing (NLP), with experience working on LLMs (e.g., GPT models, BERT). Experience with vision-based algorithms and their application in real-world financial problems. Knowledge of business processes in the lending domain and transaction banking.

Expertise in CRM/ERP systems Strong experience in system migration from legacy PHP platforms Odoo(Community Edition)/.NET-based platforms,REST APIs,AI/ML integration Experience with CRM & configurator integration (automotive or manufacturing context) Required Candidate profile API integrations (REST/SOAP) AI-based data crawlers integrate GPT-based or ML-based modules automotive industry platforms or product configurators SaaS platform architecture and admin-user separation

System Architecture Design Cross-Functional Collaboration Technical Leadership Compliance and Standards Performance Optimization Innovation and Development Required Candidate profile We are seeking an experienced EmbeddedSystem Architect to lead the architecture and development of embedded systems within the automotive electronics domain.

We are hiring an AI/ML Lead with hands-on experience in LLMs, RAG pipelines, prompt engineering, model fine-tuning/quantization, and Agentic AI. Youll work on building production-grade AI systems, lead technical strategy, and collaborate with cross-functional teams to deliver intelligent solutions. Key Skills: LLM evaluation & deployment (GPT, LLaMA, Mistral, etc.) RAG pipeline design (LangChain, vector DBs) Prompt engineering & chaining Fine-tuning, LoRA, quantization (INT4/INT8) Agentic AI system development Python, Hugging Face, PyTorch intha jd