1279 Inference Jobs - Page 42

Job Overview As an LLM (Large Language Model) Engineer, you will be responsible for designing, optimizing, and standardizing the architecture, codebase, and deployment pipelines of LLM-based systems. Your primary mission will focus on modernizing legacy machine learning codebases (including 40+ models) for a major retail clientenabling consistency, modularity, observability, and readiness for GenAI-driven innovation. Youll work at the intersection of ML, software engineering, and MLOps to enable seamless experimentation, robust infrastructure, and production-grade performance for language-driven systems. This role requires deep expertise in NLP, transformer-based models, and the evolving ecosystem of LLM operations (LLMOps), along with a hands-on approach to debugging, refactoring, and building unified frameworks for scalable GenAI : Lead the standardization and modernization of legacy ML codebases by aligning to current LLM architecture best practices. Re-architect code for 40+ legacy ML models, ensuring modularity, documentation, and consistent design patterns. Design and maintain pipelines for fine-tuning, evaluation, and inference of LLMs using Hugging Face, OpenAI, or open-source stacks (e.g., LLaMA, Mistral, Falcon). Build frameworks to operationalize prompt engineering, retrieval-augmented generation (RAG), and few-shot/in-context learning methods. Collaborate with Data Scientists, MLOps Engineers, and Platform teams to implement scalable CI/CD pipelines, feature stores, model registries, and unified experiment tracking. Benchmark model performance, latency, and cost across multiple deployment environments (on-premise, GCP, Azure). Develop governance, access control, and audit logging mechanisms for LLM outputs to ensure data safety and compliance. Mentor engineering teams in code best practices, versioning, and LLM lifecycle Skills : Deep understanding of transformer architectures, tokenization, attention mechanisms, and training/inference optimization Proven track record in standardizing ML systems using OOP design, reusable components, and scalable service APIs Hands-on experience with MLflow, LangChain, Ray, Prefect/Airflow, Docker, K8s, Weights & Biases, and model-serving platforms. Strong grasp of prompt tuning, evaluation metrics, context window management, and hybrid search strategies using vector databases like FAISS, pgvector, or Milvus Proficient in Python (must), with working knowledge of shell scripting, YAML, and JSON schema standardization Experience managing compute, memory, and storage requirements of LLMs across & Experience : 5+ years in ML/AI engineering with at least 2 years working on LLMs or NLP-heavy systems. Able to reverse-engineer undocumented code and reimagine it with strong documentation and testing in mind. Clear communicator who collaborates well with business, data science, and DevOps teams. Familiar with agile processes, JIRA, GitOps, and confluence-based knowledge sharing. Curious and future-facingalways exploring new techniques and pushing the envelope on GenAI innovation. Passionate about data ethics, responsible AI, and building inclusive systems that scale (ref:hirist.tech) Show more Show less

Job Summary We are seeking a highly motivated and skilled Senior Full-Stack Developer with 5+ years of experience, specializing in Python and AI/ML, complemented by strong React.js capabilities. This is a critical role for an immediate 2-month MVP project focused on AI/ML predictive analysis, particularly in financial or risk assessment domains. While UI skills are valued, the core focus for this MVP is on backend Python development and advanced AI/ML model implementation. Key Responsibilities Backend Development : Build robust and scalable backend systems using Python, ensuring high performance and reliability for AI/ML model integration and data processing. Data Integration Work with various data sources to collect, process, and prepare data for model training and inference. Frontend Contribution Utilize React.js knowledge to contribute to the user interface, primarily focusing on displaying model outputs and user interactions. Rapid Prototyping Drive rapid development cycles for the MVP, delivering accurate and impactful model outputs within tight deadlines. Problem Solving Debug and optimize AI/ML models and backend services for accuracy, efficiency, and : Work effectively in a fast-paced environment, collaborating with stakeholders to understand requirements and deliver impactful solutions. Experience Required Skills & Qualifications : Minimum 5 years of experience in software development. Core Backend Strong expertise in Python for backend development. AI/ML Focus Significant hands-on experience in AI/ML model development, including predictive analysis. Candidates with a background in financial or risk assessment modeling are highly preferred. Frontend Basics Proficiency in React.js for frontend development. Strong Fundamentals Excellent knowledge of software engineering principles, data structures, and algorithms. Proactive & Productive Demonstrated ability to be highly productive and contribute effectively from day one in a fast-paced : Strong analytical and problem-solving skills, with a focus on delivering accurate and impactful : Good communication skills to collaborate with technical and non-technical team members (ref:hirist.tech) Show more Show less

Optum is a global organization that delivers care, aided by technology to help millions of people live healthier lives. The work you do with our team will directly improve health outcomes by connecting people with the care, pharmacy benefits, data and resources they need to feel their best. Here, you will find a culture guided by inclusion, talented peers, comprehensive benefits and career development opportunities. Come make an impact on the communities we serve as you help us advance health optimization on a global scale. Join us to start Caring. Connecting. Growing together. Primary Responsibilities Build platform features to for AI/ML lifecycle include data processing, AI inference (batch, real-time, hybrid) and end-to-end MLOps for non-generative and generative use-cases Utilize deep knowledge of AI/ML systems engineering to define future architecture patterns for a multi-cloud platform Develop robust, scalable, and maintainable code that meets high standards of quality and performance Utilize engineering expertise to coach and influence enterprise data scientists and ML engineers to adopt scaleable, robust process architecture for AI/ML use-cases Stay up-to-date with the latest advancements in AI/ML technology and introduce innovative techniques and tools to the team. Mentor and develop junior engineers on the team. Participate in the entire software development lifecycle - design, implementation, testing, CI/CD and production operations Comply with the terms and conditions of the employment contract, company policies and procedures, and any and all directives (such as, but not limited to, transfer and/or re-assignment to different work locations, change in teams and/or work shifts, policies in regards to flexibility of work benefits and/or work environment, alternative work arrangements, and other decisions that may arise due to the changing business environment). The Company may adopt, vary or rescind these policies and directives in its absolute discretion and without any limitation (implied or otherwise) on its ability to do so Required Qualifications Master’s degree or Ph.D. with 3+ years of relevant experience or a bachelor's degree and at least 4+ years of relevant experience 4+ years industry experience as a Software Engineer, Software Developer, or AI/ML Engineer, with at least 3+ years in senior engineering roles with increasing scope 3+ years of demonstrable experience with AI/ML Engineering including data pipelines, model inference and MLOps for batch and real-time endpoints on cloud platforms (e.g. Databricks, Azure, AWS, GCP, Snowflake) 3+ years of experience with demonstrable proficiency in programming languages such as Python or Java 3+ years of demonstrable proficiency with querying and data processing tools (e.g. PySpark, SQL) as well as command-line tools (shell, regex, cloud CLI) Preferred Qualifications Experience with DevOps practices, including CI/CD, containerization (Docker, Kubernetes), and infrastructure as code\ Experience with AI/ML development in industries such as healthcare, aerospace, insurance Deep understanding of AI/ML lifecycle and variations for different use-cases (non-generative, generative) Proven success in collaborating with geographically distributed team At UnitedHealth Group, our mission is to help people live healthier lives and make the health system work better for everyone. We believe everyone - of every race, gender, sexuality, age, location and income - deserves the opportunity to live their healthiest life. Today, however, there are still far too many barriers to good health which are disproportionately experienced by people of color, historically marginalized groups and those with lower incomes. We are committed to mitigating our impact on the environment and enabling and delivering equitable care that addresses health disparities and improves health outcomes - an enterprise priority reflected in our mission. Show more Show less

Job Title: AI/ML Engineer Location: Hyderabad, India Work Mode: Onsite (5 days/week) Experience: 3+ Years (including 2+ years in AI/ML) Employment Type: Full-time Position Overview: We are looking for a highly motivated and skilled AI/ML Engineer to join our team in Hyderabad . This is a full-time, onsite role offering the opportunity to build and deploy real-world AI applications using cutting-edge tools including AWS Bedrock , SageMaker , and other cloud-native services. The ideal candidate will have a passion for solving business problems with AI and experience bringing AI models to life in production environments. Key Responsibilities: Design, build, and deploy end-to-end AI/ML solutions for real-world applications Work with AWS services like Bedrock , SageMaker , Lambda , and Step Functions for model training, inference, and orchestration Collaborate with product, engineering, and data teams to define technical solutions Conduct data preparation, feature engineering, model training, and performance tuning Ensure scalable and cost-effective AI model deployment in cloud environments Stay current on emerging trends in Generative AI, foundation models, and MLOps practices Required Qualifications: Bachelor’s or Master’s degree in Computer Science, Data Science, or a related field 3+ years of total experience in software development, with 2+ years focused on AI/ML Proven experience in building and deploying AI applications in production Hands-on expertise with Python and ML frameworks like PyTorch , TensorFlow , or Scikit-learn Experience with AWS AI/ML tools, especially SageMaker and Bedrock Solid understanding of data pipelines, APIs, and inference optimization Familiarity with prompt engineering and using foundation models in enterprise applications Preferred Skills: Exposure to LLMs , RAG architectures , or agentic AI systems Understanding of MLOps principles and tools (CI/CD for ML, monitoring, retraining loops) Experience in NLP, computer vision, or time-series forecasting Work Arrangement: Location: Hyderabad (onsite only) Work Schedule: Monday to Friday (5 days a week, in-office) Show more Show less

About Clear Demand: Clear Demand is the leader in AI-driven price and promotion optimization for retailers . Our platform transforms pricing from a challenge to a competitive advantage, helping retailers make smarter, data-backed decisions across the entire pricing lifecycle. By integrating competitive intelligence, pricing rules, and demand modelling , we enable retailers to maximize profit, drive growth, and enhance customer loyalty — all while maintaining pricing compliance and brand integrity. With Clear Demand, retailers stay ahead of the market, automate complex pricing decisions, and unlock new opportunities for growth. Key Responsibilities: People management - Lead a team of software engineers, DS, DE, MLE, in the design, development, and delivery of software solutions. Program management - Strong program leader that has run program management functions to efficiently deliver ML projects to production and manage its operations. Work with Business stakeholders & customers in the Retail Business domain to execute the product vision using the power of AI/ML. Scope out the business requirements by performing necessary data-driven statistical analysis. Set goals and, objectives using proper business metrics and constraints. Conduct exploratory analysis on large volumes of data, understand the statistical shape, and use the right visuals to drive & present the analysis. Analyse and extract relevant information from large amounts of data and derive useful insights on a big-data scale. Create labelling manuals and work with labellers to manage ground truth data and perform feature engineering as needed. Work with software engineering teams, data engineers and ML operations team (Data Labellers, Auditors) to deliver production systems with your deep learning models. Select the right model, train, validate, test, optimise neural net models and keep improving our image and text processing models. Architecturally optimize the deep learning models for efficient inference, reduce latency, improve throughput, reduce memory footprint without sacrificing model accuracy. Establish scalable, efficient, automated processes for large scale data analyses, model development, model validation and model implementation. Create and enhance model monitoring system that could measure data distribution shifts, alert when model performance degrades in production. Streamline ML operations by envisioning human in the loop kind of workflows, collect necessary labels/audit information from these workflows/processes, that can feed into improved training and algorithm development process. Maintain multiple versions of the model and ensure the controlled release of models. Manage and mentor junior data scientists, providing guidance on best practices in data science methodologies and project execution. Lead cross-functional teams in the delivery of data-driven projects, ensuring alignment with business goals and timelines. Collaborate with stakeholders to define project objectives, deliverables, and timelines. Qualifications & Experience: MS/PhD from reputed institution with a delivery focus. 5+ years of experience in data science, with a proven track record of delivering impactful data-driven solutions. Delivered AI/ML products/features to production. Seen the complete cycle from Scoping & analysis, Data Ops, Modelling, MLOps, Post deployment analysis. Experts in Supervised and Semi-Supervised learning techniques. Hands-on in ML Frameworks - Pytorch or TensorFlow. Hands-on in Deep learning models. Developed and fine-tuned Transformer based models. ( Input output metric, Sampling technique) Deep understanding of Transformers, GNN models and its related math & internals. Exhibit high coding standards and create production quality code with maximum efficiency. Hands-on in Data analysis & Data engineering skills involving Sqls, PySpark etc. Exposure to ML & Data services on the cloud – AWS, Azure, GCP Understanding internals of computer hardware - CPU, GPU, TPU is a plus. Can leverage the power of hardware accel to optimize the model execution — PyTorch Glow, cuDNN, is a plus Show more Show less

Trident Consulting is seeking a "Machine Learning Engineer" for one of our clients in "India- Remote" Position: Machine Learning Engineer Job Location: India- Remote Job Type: Fulltime About the Role: We are seeking a skilled Machine Learning Engineer with expertise in PyTorch and a strong understanding of core machine learning principles to develop and deploy anomaly detection models on top of ELK (Elasticsearch, Logstash, Kibana). The ideal candidate will be responsible for building and integrating machine learning models to detect anomalies in log data using supervised or semi-supervised approaches Responsibilities: Train and evaluate models using PyTorch for anomaly detection in time-series or log data. Preprocess and transform log data ingested via Logstash and indexed in Elasticsearch for ML consumption. Design and run experiments to benchmark anomaly detection performance. Integrate trained models with the ELK Stack for real-time anomaly scoring and visualization in Kibana. Collaborate with DevOps/SRE teams to understand system behavior and define anomaly patterns. Document model assumptions, behavior, and performance metrics clearly and thoroughly. Required Qualifications: Proven experience with PyTorch for developing machine learning models. Strong grasp of model training fundamentals. Solid understanding of anomaly detection techniques in log or time-series data. Experience working with Elasticsearch, Logstash, and Kibana. Proficiency in Python and common data manipulation libraries (Pandas, NumPy, etc.). Familiarity with data pipeline design, feature engineering, and model deployment. Comfortable working in Linux environments and using version control (Git) Preferred Qualifications Prior experience integrating ML models with ELK. Familiarity with log data formats, common system logs (e.g., syslog, nginx, application logs). Experience with real-time inference or streaming data frameworks (e.g., Kafka, Flink). Knowledge of unsupervised anomaly detection techniques (e.g., autoencoders, clustering). Exposure to MLOps practices. About Trident Trident Consulting is a premier IT staffing firm providing high-impact workforce solutions to Fortune 500 and mid-market clients. Since 2005, we've specialized in sourcing elite technology and engineering talent for contract, direct hire, and managed services roles. Our expertise spans cloud, AI/ML, cybersecurity, and data analytics, supported by a 3M+ candidate database and a 78% fill ratio. With a highly engaged leadership team and a reputation for delivering hard-to-fill, niche talent, we help organizations build agile, high-performing teams that drive innovation and business success. Some of our recent awards include: Trailblazer Women Award 2025 by Consulate General of India in San Francisco Ranked as the #1 Women Owned Business Enterprise in the large category by IT-Serve. Received the Tech-Serve Excellence award. Consistently ranked in the Inc. 5000 list of fastest-growing private companies in America Recognized in the SF Business Times as one of the Largest Bay Area BIPOC/Minority-Owned Businesses in 2022 Show more Show less

Description Join GlobalLogic, to be a valid part of the team working on a huge software project for the world-class company providing M2M / IoT 4G/5G modules e.g. to the automotive, healthcare and logistics industries. Through our engagement, we contribute to our customer in developing the end-user modules’ firmware, implementing new features, maintaining compatibility with the newest telecommunication and industry standards, as well as performing analysis and estimations of the customer requirements. Requirements We are looking for an experienced AI/ML Architect to lead the design and implementation of scalable, production-grade machine learning solutions. This role requires a strong background in data science, AI/ML engineering, cloud infrastructure, and solution architecture. The ideal candidate will have hands-on experience building and deploying AI/ML pipelines, as well as guiding cross-functional teams through the entire model lifecycle—from ideation to deployment. Job responsibilities Key Responsibilities: Design end-to-end AI/ML architecture and solutions aligned with business objectives Lead development and deployment of ML models using frameworks such as TensorFlow, PyTorch, or Scikit-learn Architect scalable data pipelines for training and inference using tools like Apache Spark, Airflow, or Databricks Collaborate with data engineers, scientists, and product managers to define data requirements and ML use cases Implement and advocate for MLOps best practices (CI/CD, model monitoring, automated retraining) Optimize models for performance, scalability, and cost-efficiency on cloud platforms (Azure, AWS, or GCP) Conduct code and design reviews to ensure high standards of AI/ML implementation Stay current with industry trends and evaluate new tools/technologies for adoption Mentor junior engineers and guide them in ML best practices and system design Required Skills & Experience: 10+ years of software/data engineering experience, with 4+ years focused on AI/ML architecture Deep expertise in ML algorithms, NLP, computer vision, or recommendation systems Proficient in Python and ML libraries (e.g., scikit-learn, pandas, NumPy) Experience with deep learning frameworks (TensorFlow, PyTorch, etc.) Strong background in data architecture, feature engineering, and cloud-native ML solutions Hands-on experience with containerized deployments (Docker, Kubernetes) Familiarity with MLOps tools (MLflow, TFX, Kubeflow, etc.) Excellent problem-solving, communication, and leadership skills Preferred Qualifications: Master’s or PhD in Computer Science, Data Science, or related field Experience in deploying AI solutions at scale in a production environment Certifications in cloud (Azure AI Engineer, AWS Machine Learning Specialty, etc.) What we offer Culture of caring. At GlobalLogic, we prioritize a culture of caring. Across every region and department, at every level, we consistently put people first. From day one, you’ll experience an inclusive culture of acceptance and belonging, where you’ll have the chance to build meaningful connections with collaborative teammates, supportive managers, and compassionate leaders. Learning and development. We are committed to your continuous learning and development. You’ll learn and grow daily in an environment with many opportunities to try new things, sharpen your skills, and advance your career at GlobalLogic. With our Career Navigator tool as just one example, GlobalLogic offers a rich array of programs, training curricula, and hands-on opportunities to grow personally and professionally. Interesting & meaningful work. GlobalLogic is known for engineering impact for and with clients around the world. As part of our team, you’ll have the chance to work on projects that matter. Each is a unique opportunity to engage your curiosity and creative problem-solving skills as you help clients reimagine what’s possible and bring new solutions to market. In the process, you’ll have the privilege of working on some of the most cutting-edge and impactful solutions shaping the world today. Balance and flexibility. We believe in the importance of balance and flexibility. With many functional career areas, roles, and work arrangements, you can explore ways of achieving the perfect balance between your work and life. Your life extends beyond the office, and we always do our best to help you integrate and balance the best of work and life, having fun along the way! High-trust organization. We are a high-trust organization where integrity is key. By joining GlobalLogic, you’re placing your trust in a safe, reliable, and ethical global company. Integrity and trust are a cornerstone of our value proposition to our employees and clients. You will find truthfulness, candor, and integrity in everything we do. About GlobalLogic GlobalLogic, a Hitachi Group Company, is a trusted digital engineering partner to the world’s largest and most forward-thinking companies. Since 2000, we’ve been at the forefront of the digital revolution – helping create some of the most innovative and widely used digital products and experiences. Today we continue to collaborate with clients in transforming businesses and redefining industries through intelligent products, platforms, and services. Show more Show less

Ever wondered how it would be to revolutionise one of the least digitised industries in the market, alongside a growing and switched-on team? Read on! ___________________________________________________________________________________ We are Shape.Construction ! We are digitising the largest and most fundamental industry in the world, the industry that literally builds the foundations of the civilisation we all depend on to spare us from a brutal hunter-gatherer life: CONSTRUCTION It is one of the least digitised industries in the world but also the largest – 1 in 9 people globally work in the construction industry and it constitutes 11% of global GDP. Improving construction strengthens the very foundation of human civilisation. ( Watch our short film about it). We got our start as a high-end construction project management consultancy. As a consultancy, we are focused on genuinely upgrading the way construction projects are delivered. We then take the deep understanding of the projects we work on to develop construction management software products that anyone can use to deliver their projects better. We are building a full suite of products one module at a time – kind of like office 365 but for construction management. ( Check out Shape, our construction management tech and watch this video about what we are doing ) The core of all this is our true secret sauce; people. We only recruit the very best both in capability and personality. We are deeply focused on designing a new type of organisation that is optimised for the flourishing of the people in the team first and foremost. People that join us develop fast as a whole person in ways they never imagined. ( Read more about our vision and mission ). This approach has allowed us to grow from just 2 people in 2017 to over 200 today (including consultancy) and we are still very much at the beginning! Joining us isn’t just some “job”, it is a transformative educational experience. We challenge you to be your best self in all aspects of life. Our vision is designed to align how we operate with the fundamental aspects that enable anyone to have a fulfilled life: Connects us with meaningful relationships Inspires us to develop ourselves to become better humans Empowers us to pursue our own learning adventures 4 core values for a good life We believe a life of human flourishing is all about meaningful relationships with others and challenging yourself to create a positive impact. Our four core values are grow yourself, care about people, execute to greatness and build civilisation. This philosophy goes much deeper and you can see more on our website. We are achieving this vision through the following two missions: To fully digitise the construction of human civilisation To create a new type of organisation that enables human flourishing while delivering a huge positive impact on society Laminar Projects is proud to be recognized as one of the UK’s Best Workplaces in Construction, Engineering & Property™ for 2024! Join a team where learning, collaboration, and growth are at the core of everything we do, and where solving big challenges is part of the fun. ___________________________________________________________________________________ The Role Purpose of the role We seek a self-sufficient Lead MLOps Engineer with a deep understanding and hands-on experience in deploying Large Language Models (LLMs) into production. This role requires an individual who can independently handle the complexities of LLMs, from fine-tuning to integration with existing systems, while closely collaborating with the product and engineering teams to ensure seamless implementation and optimisation. Team Join a team of forward-thinking software engineers and product strategists. While you will be working autonomously on the deployment and management of LLMs, coordination with our Product Management and Site Reliability Engineering (SRE) teams will be essential for integrating these models into our broader platform. Your top 3 objectives Effective Deployment of LLMs: Successfully deploy LLMs into production, ensuring they align with our business needs and human values. Optimise LLM Performance: Apply techniques such as reinforcement learning, instruction fine-tuning, and model optimization to enhance the performance and reliability of LLMs. Integrate LLMs into Applications: Seamlessly integrate LLMs with external applications, enabling them to contribute effectively to our suite of products. Your Top 5 Responsibilities Collaborate Scope Definition: Engage with product team to define ML project use cases precisely, setting a clear direction for technical implementation. Lifecycle Management: Oversee the ML project lifecycle stages, including model selection, prompt engineering, fine-tuning, evaluation, and alignment with human feedback. Optimize and Deploy for Inference: Optimize LLMs for inference and deploy them into production, ensuring they meet the functional and performance criteria established during scoping. Enhance Applications with LLMs: Work within the software development team to tailor LLMs to our unique application requirements, ensuring that the models effectively power and enhance our products' functionality and user experience. Collaborate with the SRE Team: Work closely with the SRE team for the integration of LLMs into our cloud infrastructure, ensuring scalability and resilience. Your Capabilities As a Lead MLOps Engineer focused on LLMs, you combine deep technical expertise with a proactive approach to problem-solving. You are adept at working independently yet understand the importance of aligning your work with broader team objectives. You have experience as a hands-on leader and is ready to bootstrap and grow the AI team. As a candidate, you should have: Expertise in LLM Deployment: Extensive experience in deploying and managing Large Language Models, including all aspects of fine-tuning and integration. Technical Proficiency: Strong skills in machine learning frameworks, cloud computing, and interacting with external applications. Independent Problem-Solver: Ability to tackle challenges autonomously, applying innovative solutions to complex problems. Continuous Learner: Commitment to staying abreast of the latest developments in LLMs and MLOps. Nice to Have (If you don’t have it now you will after joining) Advance Model Optimization Skills: Knowledge of advance model fine-tuning and optimization techniques. Collaborative Approach: While working autonomously, the ability to effectively coordinate with other teams, like SRE, for seamless integration. Community Engagement: Active participation in relevant tech communities to bring in new insights and best practices. Shape isn’t the place for you if any of the following is true: You want an easy, chilled-out role without much challenge You like to be the smartest person in the room You don’t like continuously receiving honest candid feedback You prefer to do your own thing rather than work with a team At Shape we value diverse experiences and perspectives, empowering each member to contribute their unique expertise towards our collective success, so if you don't think you meet all the criteria but still are excited about this role we encourage you to apply anyways! ___________________________________________________________________________________ Salary And Benefits Standard Stuff Competitive salary dependent on location and capability Paid Annual Leave 20 days + statutory Bank Holidays In-House Coaching Sessions Discretionary bonus scheme for all team members. The Life-Changing Stuff 4 Day Weeks : That’s right, 4 day weeks Flexibility: Getting things done is what really matters, not what time of day you do it. That means you don’t have to ask permission for things like picking up your kids or going to the doctor, just keep your team in the loop if you think they will be affected. Grow your whole self: Our leaders are more like coaches and one of our main objectives is to give 5 years’ worth of learning and development for every 1 year with us. You have a coach, mentor, well-being therapist and a development-orientated environment: That’s literally what our vision is all about and the primary reason Shape exists Be surrounded by the best: We only hire and retain the very best people. You might be used to being the smartest in the room but that won’t be the case in Shape. You will be surrounded by people you can learn from. We are 100% meritocratic so fast progression is the norm. You will be supported to excel in whichever areas you are most interested in! With Shape, development is unbounded Long-term impact: We are focused on solving the biggest issues in construction project delivery in a way that can spread and outlast us ________________________________________________________________________________________ Application We get thousands of applications so please write us a letter as part of your application explaining: Why do you want to join us? If you joined, where do you think you could make the most impact and how? We aren't a giant faceless corporation; we really care about the people who want to join our team so all applications will be read thoroughly by our key leaders. In terms of application, we usually start with an intro call to tell you what we are all about in a casual conversation. That helps you to know us a bit better and tell us a bit about yourself. Show more Show less

Please find below the job description for a fulltime role with us, MRCC Group . Please share your resume and salary confirmation if interested. Key Responsibilities: • Design, build, and deploy AI models using ML, DL, and GenAI techniques. • Work on Agentic AI frameworks and build intelligent, goal-directed agents using frameworks like Langchain and Langgraph. • Create and expose RESTful APIs using FastAPI for model serving. • Build and maintain scalable pipelines for data preprocessing, training, and inference. • Collaborate with cross-functional teams to develop AI-powered solutions from scratch to production. • Stay updated with the latest research and trends in AI/ML/NLP/Agentic systems. Project Experience in building AI solutions like Chatbots, sentiment analysis, Image Classification, etc. • Knowledge of cloud platforms (Azure) for deploying AI models Key Requirements: • Bachelor’s/Master’s degree in Computer science or Data science. • Strong proficiency in Python and relevant AI/ML libraries. • Hands-on experience with: Machine Learning and Deep Learning o Generative AI (LLMs, transformers, embeddings) o Natural Language Processing (NLP) Show more Show less

At PwC, our people in business application consulting specialise in consulting services for a variety of business applications, helping clients optimise operational efficiency. These individuals analyse client needs, implement software solutions, and provide training and support for seamless integration and utilisation of business applications, enabling clients to achieve their strategic objectives. As a Guidewire developer at PwC, you will specialise in developing and customising applications using the Guidewire platform. Guidewire is a software suite that provides insurance companies with tools for policy administration, claims management, and billing. You will be responsible for designing, coding, and testing software solutions that meet the specific needs of insurance organisations. Focused on relationships, you are building meaningful client connections, and learning how to manage and inspire others. Navigating increasingly complex situations, you are growing your personal brand, deepening technical expertise and awareness of your strengths. You are expected to anticipate the needs of your teams and clients, and to deliver quality. Embracing increased ambiguity, you are comfortable when the path forward isn’t clear, you ask questions, and you use these moments as opportunities to grow. Skills Examples of the skills, knowledge, and experiences you need to lead and deliver value at this level include but are not limited to: Respond effectively to the diverse perspectives, needs, and feelings of others. Use a broad range of tools, methodologies and techniques to generate new ideas and solve problems. Use critical thinking to break down complex concepts. Understand the broader objectives of your project or role and how your work fits into the overall strategy. Develop a deeper understanding of the business context and how it is changing. Use reflection to develop self awareness, enhance strengths and address development areas. Interpret data to inform insights and recommendations. Uphold and reinforce professional and technical standards (e.g. refer to specific PwC tax and audit guidance), the Firm's code of conduct, and independence requirements. PwC Acceleration Center AC Recruiting Details Staff Levels - Senior Associate Years of Experience - 5 to 10 year of experience Education Qualification: BTech/BE/MTech/MS/MCA Skill - GW Testing - Senior Associate Total Experience – 5 - 9 years Edu Qualification: BTech/BE/MTech/MS/MCA Job Description - Reviewing requirements / specifications / technical design documents Designing detailed, comprehensive and well-structured Test Plans and Test Cases Setting up Test Environment & Test Data Executing tests as needed throughout the project. Analyzing and reporting test results. Identifying and tracking defects through their lifecycle. Understanding of Integration - Technical Design Document and Use Case Testing experience of any one of the Guidewire products: PolicyCenter Experience on policy transactions, workflow ,Audits, forms inference Performing thorough testing [Smoke / System / Integration / Regression / Stabilization Possessing expertise in Test Management Tools like ALM / Jira Show more Show less

We are seeking an experienced Devops/ AIOps Architect to design, architect, and implement an AI-driven operations solution that integrates various cloud-native services across AWS, Azure, and cloud-agnostic environments. The AIOps platform will be used for end-to-end machine learning lifecycle management, automated incident detection, and root cause analysis (RCA). The architect will lead efforts in developing a scalable solution utilizing data lakes, event streaming pipelines, ChatOps integration, and model deployment services. This platform will enable real-time intelligent operations in hybrid cloud and multi-cloud setups. Responsibilities Assist in the implementation and maintenance of cloud infrastructure and services Contribute to the development and deployment of automation tools for cloud operations Participate in monitoring and optimizing cloud resources using AIOps and MLOps techniques Collaborate with cross-functional teams to troubleshoot and resolve cloud infrastructure issues Support the design and implementation of scalable and reliable cloud architectures Conduct research and evaluation of new cloud technologies and tools Work on continuous improvement initiatives to enhance cloud operations efficiency and performance Document cloud infrastructure configurations, processes, and procedures Adhere to security best practices and compliance requirements in cloud operations Requirements Bachelor’s Degree in Computer Science, Engineering, or related field 12+ years of experience in DevOps roles, AIOps, OR Cloud Architecture Hands-on experience with AWS services such as SageMaker, S3, Glue, Kinesis, ECS, EKS Strong experience with Azure services such as Azure Machine Learning, Blob Storage, Azure Event Hubs, Azure AKS Strong experience with Infrastructure as Code (IAC)/ Terraform/ Cloud formation Proficiency in container orchestration (e.g., Kubernetes) and experience with multi-cloud environments Experience with machine learning model training, deployment, and data management across cloud-native and cloud-agnostic environments Expertise in implementing ChatOps solutions using platforms like Microsoft Teams, Slack, and integrating them with AIOps automation Familiarity with data lake architectures, data pipelines, and inference pipelines using event-driven architectures Strong programming skills in Python for rule management, automation, and integration with cloud services Nice to have Any certifications in the AI/ ML/ Gen AI space Show more Show less

Required Skills & Qualifications: 4+ years of experience in Python development, specializing in AI-driven applications . Strong expertise in FastAPI for high-performance backend development. Experience working with LLMs (GPT, Llama, Claude, etc.) and AI model deployment. Hands-on experience with LangChain for AI-driven workflows. Experience with vector databases (FAISS, Pinecone, Weaviate, ChromaDB, etc.) . Knowledge of RESTful APIs, GraphQL, and authentication mechanisms . Familiarity with Hugging Face, OpenAI APIs, and fine-tuning LLMs . Experience in asynchronous programming, multiprocessing, and performance tuning . · Strong problem-solving skills, debugging expertise, and experience in Agile/Scrum methodologies Key Responsibilities: AI Model Integration: Develop and integrate LLMs into the WayVida platform using LangChain . Backend Development: Design, develop, and optimize scalable FastAPI services for AI-driven applications. API Development & Optimization: Build and maintain high-performance APIs to support AI-based functionalities. Data Processing & Pipelines: Work with large-scale datasets for training and fine-tuning LLMs. Performance Optimization: Improve system efficiency, response times, and model inference speeds. Collaboration with AI & Product Teams: Work with data scientists and engineers to deploy AI solutions effectively. Security & Compliance: Implement best practices for secure API design, data privacy, and compliance . Testing & Code Quality: Ensure high-quality, maintainable, and well-documented code following CI/CD best practices. . Preferred Qualifications: Experience in AI-driven EdTech platforms . Knowledge of retrieval-augmented generation (RAG) and prompt engineering . Familiarity with Docker, Kubernetes, and cloud deployment (Azure, AWS, GCP) . Exposure to MLOps, model versioning, and continuous AI deployments . Show more Show less

Job Summary Responsible for investigating and reducing component failures at electrical test through prompt, aggressive root cause analysis and effective corrective actions. Essential Duties And Responsibilities Improve component quality of non-conforming products by establishing failure analysis and obtaining corrective action from suppliers. Interact with various departments (Quality, Purchasing, Manufacturing) to resolve/improve component issues. Monitor components reject levels and respond to issues accordingly. Report technical information concerning component failures to various team members and customer. Reclaim revenue of rejected components via return of defective product. Implement proactive measures that will foster productivity and higher product yields while reducing economic loss. Respond to production line part problems immediately and address boards on component hold. Monitor the storage of moisture sensitive components in dry pack and nitrogen cases; shock sensitive devices. Follow ESD procedures at all times. Speak with customer engineering personnel in a professional and effective manner. Adhere to all safety and health rules and regulations associated with this position and as directed by supervisor. Comply and follow all procedures within the company security policy. May perform other duties and responsibilities as assigned. Job Qualifications KNOWLEDGE REQUIREMENTS Ability to read, analyze, interpret and communicate regarding common scientific and/or technical journals, financial reports, and legal documents. Ability to respond to common inquiries or complaints from customers, regulatory agencies, or members of the business community. Ability to effectively present information to top management, public groups, and/or boards of directors. Advanced PC skills, including training and knowledge of Jabil’s software packages. Ability to work with mathematical concepts such as probability and statistics, statistical inference, fundamentals of plane and solid geometry and trigonometry, understanding of partial differential equations, integration, and numerical techniques. Expertise in applying concepts such as fractions, percentages, ratios, and proportions to practical situations. Ability to solve practical problems and deal with a variety of concrete variables in situations where only limited standardization exists. Ability to interpret a variety of instructions furnished in written, oral, diagram, or schedule form. Ability to collect data, establish facts, and draw valid conclusions. Proven ability to interpret an extensive variety of technical instructions in mathematical or diagram form and effectively deal with several abstract and concrete variables. Ability to add, subtract, multiply, and divide in all units of measure, using whole numbers, common fractions, and decimals. Ability to compute rate, ratio, and percent and to draw and interpret graphs. , BE AWARE OF FRAUD: When applying for a job at Jabil you will be contacted via correspondence through our official job portal with a jabil.com e-mail address; direct phone call from a member of the Jabil team; or direct e-mail with a jabil.com e-mail address. Jabil does not request payments for interviews or at any other point during the hiring process. Jabil will not ask for your personal identifying information such as a social security number, birth certificate, financial institution, driver’s license number or passport information over the phone or via e-mail. If you believe you are a victim of identity theft, contact your local police department. Any scam job listings should be reported to whatever website it was posted in. Show more Show less

At EVERSANA, we are proud to be certified as a Great Place to Work across the globe. We’re fueled by our vision to create a healthier world. How? Our global team of more than 7,000 employees is committed to creating and delivering next-generation commercialization services to the life sciences industry. We are grounded in our cultural beliefs and serve more than 650 clients ranging from innovative biotech start-ups to established pharmaceutical companies. Our products, services and solutions help bring innovative therapies to market and support the patients who depend on them. Our jobs, skills and talents are unique, but together we make an impact every day. Join us! Across our growing organization, we embrace diversity in backgrounds and experiences. Improving patient lives around the world is a priority, and we need people from all backgrounds and swaths of life to help build the future of the healthcare and the life sciences industry. We believe our people make all the difference in cultivating an inclusive culture that embraces our cultural beliefs. We are deliberate and self-reflective about the kind of team and culture we are building. We look for team members that are not only strong in their own aptitudes but also who care deeply about EVERSANA, our people, clients and most importantly, the patients we serve. We are EVERSANA. Job Description Learn to develop and apply data mining and machine learning techniques and models to extract analytic insights from healthcare and non-healthcare data sets Support the review, generation, and delivery of analytic products in support of project work, RFP responses and other business needs Assist in the development of visualizations and presentations for client deliverables Develop software solutions and applications using Python, SQL, and/or R Interface with EVERSANA analysts, data scientists, clinicians and program managers and with EVERSANA customers. Qualifications Education - BS/MS/PhD degree in Engineering, Computer Science, Mathematics, Bioinformatics, Physics Practical knowledge of statistics, statistical inference, and machine learning algorithms Works independently and is a self-starter MS PowerPoint presentation development skills Client interface and presentation skills Knowledge of one or more of the following programming and analysis tools: Python (pandas, scikit-learn, Numpy, Scipy, and database access packages) SQL / (MySQL) AWS (Redshift) Microsoft Excel R programming language Visualization tools Linux (Red Hat, CentOS); Python and software development in a Linux environment Additional Information OUR CULTURAL BELIEFS: Patient Minded I act with the patient’s best interest in mind. Client Delight I own every client experience and its impact on results. Take Action I am empowered and empower others to act now. Grow Talent I own my development and invest in the development of others. Win Together I passionately connect with anyone, anywhere, anytime to achieve results. Communication Matters I speak up to create transparent, thoughtful and timely dialogue. Embrace Diversity I create an environment of awareness and respect. Always Innovate I am bold and creative in everything I do. EVERSANA is committed to providing competitive salaries and benefits for all employees. The anticipated base salary range for this position is $47,000 to $75,000 and is not applicable to locations outside of the U.S. The base salary range represents the low and high end of the salary range for this position. Compensation will be determined based on relevant experience, other job-related qualifications/skills, and geographic location (to account for comparative cost of living). EVERSANA reserves the right to modify this base salary range at any time. Our team is aware of recent fraudulent job offers in the market, misrepresenting EVERSANA. Recruitment fraud is a sophisticated scam commonly perpetrated through online services using fake websites, unsolicited e-mails, or even text messages claiming to be a legitimate company. Some of these scams request personal information and even payment for training or job application fees. Please know EVERSANA would never require personal information nor payment of any kind during the employment process. We respect the personal rights of all candidates looking to explore careers at EVERSANA. From EVERSANA’s inception, Diversity, Equity & Inclusion have always been key to our success. We are an Equal Opportunity Employer, and our employees are people with different strengths, experiences, and backgrounds who share a passion for improving the lives of patients and leading innovation within the healthcare industry. Diversity not only includes race and gender identity, but also age, disability status, veteran status, sexual orientation, religion, and many other parts of one’s identity. All of our employees’ points of view are key to our success, and inclusion is everyone's responsibility. Follow us on LinkedIn | Twitter Show more Show less

Generative AI Model Development: Design, train, and fine-tune LLMs (GPT, LLaMA, Claude), diffusion models, and multimodal AI systems for various applications. NLP & Deep Learning Expertise: Implement and optimize Transformer-based architectures (BERT, T5, GPT, etc.) for text generation, summarization, and embeddings. AI Pipeline Engineering: Develop end-to-end AI pipelines , including data preprocessing, model training, inference, and deployment using PyTorch, TensorFlow, or JAX. Agile Development: Work in an Agile/Scrum environment, participating in standups, sprint planning, and retrospectives to iteratively develop AI-driven products. Fine-tuning & Optimization: Optimize pre-trained models through LoRA, PEFT, quantization, and distillation for efficiency and cost-effectiveness. Cloud & MLOps Integration: Deploy AI models on AWS using Kubernetes, Docker, FastAPI, and serverless architectures . Vector Databases & Retrieval-Augmented Generation (RAG): Work with FAISS, ChromaDB, Weaviate, or Pinecone to enhance generative models with retrieval-augmented techniques. AI Security & Ethics: Implement safeguards against bias, hallucinations, adversarial attacks , and ensure compliance with AI governance frameworks (e.g., GDPR, HIPAA). Experimentation & Research: Stay up-to-date with the latest AI advancements, conduct A/B testing , and experiment with new zero-shot, few-shot, and fine-tuning techniques. Collaboration & Mentorship: Work with cross-functional teams (data scientists, software engineers, product teams) and mentor junior AI engineers. Show more Show less

Overview : As a Sr. Machine Learning Engineer, you will oversee the entire lifecycle of machine learning models. Your role involves collaborating with cross-functional teams, including data scientists, data engineers, software engineers, and DevOps specialists, to bridge the gap between experimental model development and reliable production systems. You will be responsible for automating ML pipelines, optimizing model training and serving, ensuring model governance, and maintaining the stability of deployed systems. This position requires a blend of experience in software engineering, data engineering, and machine learning systems, along with a strong understanding of DevOps practices to enable faster experimentation, consistent performance, and scalable ML operations. You Will Do : Work with Data Science Leadership and Stakeholders to understand business objectives, map scope of work, and support colleagues in achieving technical deliverables. Invest in strong relationships with colleagues and build a successful followership around a common goal. Build and optimize ML pipelines for feature engineering, model training, and inference. Develop low-latency, high-throughput model endpoints for distributed environments. Maintain cloud infrastructure for ML workloads, including GPUs/TPUs, across platforms like GCP, AWS, or Azure Troubleshoot, debug, and validate ML systems for performance and reliability. Write and maintain automated tests (unit and integration). Supports discussions with Data Engineers to work on data collection, storage, and retrieval processes. Collaborate with Data Governance to identify data issues and propose data cleansing or enhancement solutions. Drive continuous improvement efforts in enhancing performance and providing increased functionality, including developing processes for automation. Skills : Group Work Lead: Ability to lead portions of pod iteratives; can clearly communicate priorities and play an effective technical support role for colleagues. Communication: Maintaining timely communication with management and stakeholders on project progress, issues, and concerns. D Consultive Mindset: Go beyond just providing analytics and actively engage stakeholders to understand their challenges and goals. Cloud & ML Ops: Expertise in managing cloud-based ML infrastructures (GCP, AWS, or Azure), coupled with DevOps practices, ensures seamless model deployment, scalability, and system reliability. This includes containerization, CI/CD pipelines, and infrastructure-as-code tools. Proficiency in programming languages such as Python, SQL, and Java. Who You Are 4+ years of industry experience working with machine learning tools and technologies. Experience using Tensorflow, PyTorch, scikit-learn, Kubeflow, pandas and numpy. and frameworks like Ray, Dask preferred. Expertise in data engineering, object-oriented programming, and familiarity with microservices and cloud technologies. An ongoing learner who seeks out emerging technology and can influence others to think innovatively. Regularly required to sit, talk, hear; use hands/fingers to touch, handle, and feel. Occasionally required to move about the workplace and reach with hands and arms. Requires close vision. Able to work a flexible schedule based on department and company needs. Show more Show less

We are looking for a Document Extraction and Inference Engineer with expertise in traditional machine learning algorithms and rule based NLP techniques. The ideal candidate will have a strong foundation in document processing, structured data extraction, and inference modeling using classical ML approaches. You will work on designing, implementing, and optimizing document extraction pipelines for various applications, ensuring accuracy and efficiency. Key Responsibilities Develop and implement document parsing and structured data extraction techniques. Utilize OCR (Optical Character Recognition) and pattern-based NLP for text extraction. Optimize rulebased and statistical models for document classification and entity recognition. Design feature engineering strategies for improving inference accuracy. Work with structured and semistructured data (PDFs, scanned documents, XML, JSON). Implement knowledgebased inference models for decisionmaking applications. Collaborate with data engineers to build scalable document processing pipelines. Conduct error analysis and improve extraction accuracy through iterative refinements. Stay updated with advancements in traditional NLP and document processing techniques. Required Qualifications Bachelor’s or Master’s degree in Computer Science, AI, Machine Learning, or related field. 3+ years of experience in document extraction and inference modeling. Strong proficiency in Python and ML libraries (Scikit-learn, NLTK, OpenCV, Tesseract). Expertise in OCR technologies, regular expressions, and rule-based NLP. Experience with SQL and database management for handling extracted data. Knowledge of probabilistic models, optimization techniques, and statistical inference. Familiarity with cloud-based document processing (AWS Textract, Azure Form Recognizer). Strong analytical and problem-solving skills. Preferred Qualifications Experience with graphbased document analysis and knowledge graphs. Knowledge of time series analysis for document-based forecasting. Exposure to reinforcement learning for adaptive document processing. Understanding of the credit / loan processing domain. Location: Chennai, India Show more Show less

We are a dynamic team at the forefront of AI solutions, specializing in building cutting-edge technology for large-scale training and inference clusters using Cisco infrastructure components. Our focus includes developing advanced AI applications, creating and fine-tuning domain-specifi c LLMs, or building entirely new LLMs from scratch, as well as providing LLMs as a service and developing sophisticated RAG solutions. Additionally, we innovate with Agentic AI to optimize and manage network operations. We work with the top 20+ largest service providers in the APJ region, building next-generatio n AI solutions that serve over 50% of humanity through these providers. Our team is dedicated to revolutionizin g the AI landscape, leveraging the latest advancements to drive significant, real-world impact. As an intern, you will be immersed in high-impact projects, collaborate with leading experts in the field, and directly contribute to AI solutions that are shaping the future of global connectivity and technological progress. With us, you will gain unparalleled exposure to industry-leadi ng technologies and a front-row seat to the future of AI-powered i nfrastructure. Your Impact As an intern, you will be an integral part of the team, helping to build and optimize AI solutions for real-world applications. You will work directly with our engineers and researchers to develop the infrastructure for training and inference clusters, implement RAG solutions for customer needs, and drive network optimization using Agentic AI. This is an exciting opportunity to work on impactful AI projects and gain hands-on experience with state-of-the-a rt technology. Collaborate with engineers to understand customer requirements and design tailored AI solutions. Build and maintain infrastructure for training and inference clusters, working with large-scale models like LLMs. Develop RAG-based solutions to enhance customer experiences and AI application performance. Work on Agentic AI use cases, optimizing network operations and automation. Contribute to research and development for scaling AI infrastructure and improving performance. Minimum Qualifications Pursuing a Bachelors or Master’s degree in AI/ML, Computer Science, or a related field. (2026 graduates only) At least one project experience in training or inference, preferably with large models or distributed systems. In-depth knowledge of machine learning algorithms, models, and optimization techniques. Familiarity with Kubernetes (K8S) for container orchestration in cloud and on-prem environments. Basic understanding of networking concepts (CCNA-level knowledge), including network topologies and protocols. Preferred Qualifications Experience with large-scale AI infrastructure or cloud-based platforms like AWS, GCP, or Azure. Knowledge of network automation and optimization using AI-driven tools or frameworks. Familiarity with advanced AI techniques such as RAG, neural networks, and natural language processing. Strong problem-solvin g skills and the ability to think critically in dynamic environments. Excellent communication skills and the ability to collaborate effectively in a team setting. #WeAreCisco #WeAreCisco where every individual brings their unique skills and perspectives together to pursue our purpose of powering an inclusive future for all. Our passion is connection—we celebrate our employees’ diverse set of backgrounds and focus on unlocking potential. Cisconians often experience one company, many careers where learning and development are encouraged and supported at every stage. Our technology, tools, and culture pioneered hybrid work trends, allowing all to not only give their best, but be their best. We understand our outstanding opportunity to bring communities together and at the heart of that is our people. One-third of Cisconians collaborate in our 30 employee resource organizations, called Inclusive Communities, to connect, foster belonging, learn to be informed allies, and make a difference. Dedicated paid time off to volunteer—80 hours each year—allows us to give back to causes we are passionate about, and nearly 86% do! Our purpose, driven by our people, is what makes us the worldwide leader in technology that powers the internet. Helping our customers reimagine their applications, secure their enterprise, transform their i nfrastructure, and meet their sustainability goals is what we do best. We ensure that every step we take is a step towards a more inclusive future for all. Take your next step and be you, with us! ...Less Show more Show less

We are a dynamic team at the forefront of AI solutions, specializing in building cutting-edge technology for large-scale training and inference clusters using Cisco infrastructure components. Our focus includes developing advanced AI applications, creating and fine-tuning domain-specifi c LLMs, or building entirely new LLMs from scratch, as well as providing LLMs as a service and developing sophisticated RAG solutions. Additionally, we innovate with Agentic AI to optimize and manage network operations. We work with the top 20+ largest service providers in the APJ region, building next-generatio n AI solutions that serve over 50% of humanity through these providers. Our team is dedicated to revolutionizin g the AI landscape, leveraging the latest advancements to drive significant, real-world impact. As an intern, you will be immersed in high-impact projects, collaborate with leading experts in the field, and directly contribute to AI solutions that are shaping the future of global connectivity and technological progress. With us, you will gain unparalleled exposure to industry-leadi ng technologies and a front-row seat to the future of AI-powered i nfrastructure. Your Impact As an intern, you will be an integral part of the team, helping to build and optimize AI solutions for real-world applications. You will work directly with our engineers and researchers to develop the infrastructure for training and inference clusters, implement RAG solutions for customer needs, and drive network optimization using Agentic AI. This is an exciting opportunity to work on impactful AI projects and gain hands-on experience with state-of-the-a rt technology. Collaborate with engineers to understand customer requirements and design tailored AI solutions. Build and maintain infrastructure for training and inference clusters, working with large-scale models like LLMs. Develop RAG-based solutions to enhance customer experiences and AI application performance. Work on Agentic AI use cases, optimizing network operations and automation. Contribute to research and development for scaling AI infrastructure and improving performance. Minimum Qualifications Pursuing a Bachelors or Master’s degree in AI/ML, Computer Science, or a related field. (2026 graduates only) At least one project experience in training or inference, preferably with large models or distributed systems. In-depth knowledge of machine learning algorithms, models, and optimization techniques. Familiarity with Kubernetes (K8S) for container orchestration in cloud and on-prem environments. Basic understanding of networking concepts (CCNA-level knowledge), including network topologies and protocols. Preferred Qualifications Experience with large-scale AI infrastructure or cloud-based platforms like AWS, GCP, or Azure. Knowledge of network automation and optimization using AI-driven tools or frameworks. Familiarity with advanced AI techniques such as RAG, neural networks, and natural language processing. Strong problem-solvin g skills and the ability to think critically in dynamic environments. Excellent communication skills and the ability to collaborate effectively in a team setting. #WeAreCisco #WeAreCisco where every individual brings their unique skills and perspectives together to pursue our purpose of powering an inclusive future for all. Our passion is connection—we celebrate our employees’ diverse set of backgrounds and focus on unlocking potential. Cisconians often experience one company, many careers where learning and development are encouraged and supported at every stage. Our technology, tools, and culture pioneered hybrid work trends, allowing all to not only give their best, but be their best. We understand our outstanding opportunity to bring communities together and at the heart of that is our people. One-third of Cisconians collaborate in our 30 employee resource organizations, called Inclusive Communities, to connect, foster belonging, learn to be informed allies, and make a difference. Dedicated paid time off to volunteer—80 hours each year—allows us to give back to causes we are passionate about, and nearly 86% do! Our purpose, driven by our people, is what makes us the worldwide leader in technology that powers the internet. Helping our customers reimagine their applications, secure their enterprise, transform their i nfrastructure, and meet their sustainability goals is what we do best. We ensure that every step we take is a step towards a more inclusive future for all. Take your next step and be you, with us! ...Less Show more Show less

We build INDmoney’s portfolio-tracking experience—helping millions see exactly where every rupee is invested and why it matters. If connecting data dots, simplifying complexity, and delivering pixel-to-SQL precision sound like your idea of fun, we should talk. 📍 𝗟𝗼𝗰𝗮𝘁𝗶𝗼𝗻: Gurgaon or Bangalore 🕑 𝗘𝘅𝗽𝗲𝗿𝗶𝗲𝗻𝗰𝗲: 1 – 3 years total work experience (your title need not say “Product Manager”) 𝗪𝗵𝗮𝘁 𝘆𝗼𝘂’𝗹𝗹 𝗱𝗿𝗶𝘃𝗲 • Design and refine user journeys that make tracking assets feel effortless • Convert raw feedback into thoughtful iterations—before users even voice the pain • Monitor behavioural and financial metrics, surfacing insights the moment a curve twitches • Align compliance, design, backend, and frontend so every release is audit-ready and seamless • Partner with customer support until the last ticket is closed and every user can sleep easy 𝗪𝗵𝘆 𝘆𝗼𝘂 𝗺𝗶𝗴𝗵𝘁 𝗳𝗶𝘁 𝗿𝗶𝗴𝗵𝘁 𝗶𝗻 • Spreadsheets and SQL editors calm you more than coffee shop chatter • You instinctively test ideas against first-principles before Googling a “framework” • Empathy shows up in your work as frictionless flows rather than motivational posters • Diagrams are your native language; conversations start with arrows and end in consensus • Schema discussions don’t scare you — inference keys are just another puzzle 𝗡𝗼 𝗳𝗼𝗿𝗺𝗮𝗹 𝗽𝗿𝗼𝗱𝘂𝗰𝘁 𝘁𝗶𝘁𝗹𝗲𝘀? 𝗧𝗵𝗮𝘁’𝘀 𝗼𝗸𝗮𝘆. Whether you’ve automated lab equipment, built trading scripts, or shipped hackathon projects, we care more about how you think than where you’ve been. Show more Show less

Job Information Company Yubi Date Opened 05/28/2025 Job Type Full time Work Experience 6-10 years Industry Technology City Chennai State/Province Tamil Nadu Country India Zip/Postal Code 600001 About Us Yubi stands for ubiquitous. But Yubi will also stand for transparency, collaboration, and the power of possibility. From being a disruptor in India’s debt market to marching towards global corporate markets from one product to one holistic product suite with seven products Yubi is the place to unleash potential. Freedom, not fear. Avenues, not roadblocks. Opportunity, not obstacles. Job Description About Yubi Yubi, formerly known as CredAvenue, is re-defining global debt markets by freeing the flow of finance between borrowers, lenders, and investors. We are the world's possibility platform for the discovery, investment, fulfillment, and collection of any debt solution. At Yubi, opportunities are plenty and we equip you with tools to seize it. In March 2022, we became India's fastest fintech and most impactful startup to join the unicorn club with a Series B fundraising round of $137 million. In 2020, we began our journey with a vision of transforming and deepening the global institutional debt market through technology. Our two-sided debt marketplace helps institutional and HNI investors find the widest network of corporate borrowers and debt products on one side and helps corporates to discover investors and access debt capital efficiently on the other side. Switching between platforms is easy, which means investors can lend, invest and trade bonds - all in one place. All of our platforms shake up the traditional debt ecosystem and offer new ways of digital finance. Yubi Credit Marketplace - With the largest selection of lenders on one platform, our credit marketplace helps enterprises partner with lenders of their choice for any and all capital requirements. Yubi Invest - Fixed income securities platform for wealth managers & financial advisors to channel client investments in fixed income Financial Services Platform - Designed for financial institutions to manage co-lending partnerships & asset based securitization Spocto - Debt recovery & risk mitigation platform Corpository - Dedicated SaaS solutions platform powered by Decision-grade data, Analytics, Pattern Identifications, Early Warning Signals and Predictions to Lenders, Investors and Business Enterprises So far, we have on-boarded over 17000+ enterprises, 6200+ investors & lenders and have facilitated debt volumes of over INR 1,40,000 crore. Backed by marquee investors like Insight Partners, B Capital Group, Dragoneer, Sequoia Capital, LightSpeed and Lightrock, we are the only-of-its-kind debt platform globally, revolutionizing the segment. At Yubi, People are at the core of the business and our most valuable assets. Yubi is constantly growing, with 1000+ like-minded individuals today, who are changing the way people perceive debt. We are a fun bunch who are highly motivated and driven to create a purposeful impact. Come, join the club to be a part of our epic growth story. About the Role We're looking for a highly skilled, results-driven AI Developer who thrives in fast-paced, high-impact environments. If you are passionate about pushing the boundaries of Computer Vision, OCR, NLP and and Large Language Models (LLMs) and have a strong foundation in building and deploying AI solutions, this role is for you. As a Lead Data Scientist, you will take ownership of designing and implementing state-of-the-art AI products. This role demands deep technical expertise, the ability to work autonomously, and a mindset that embraces complex challenges head-on. Here, you won't just fine-tune pre-trained models—you'll be architecting, optimizing, and scaling AI solutions that power real-world applications. Key Responsibilities Architect, develop, and deploy high-performance AI Solutions for real-world applications. Implement and optimize state-of-the-art LLM , OCR models and frameworks. Fine-tune and integrate LLMs (GPT, LLaMA, Mistral, etc.) to enhance text understanding and automation. Build and optimize end-to-end AI pipelines, ensuring efficient data processing and model deployment. Work closely with engineers to operationalize AI models in production (Docker, FastAPI, TensorRT, ONNX). Enhance GPU performance and model inference efficiency, applying techniques such as quantization and pruning. Stay ahead of industry advancements, continuously experimenting with new AI architectures and training techniques. Work in a highly dynamic, startup-like environment, balancing rapid experimentation with production-grade robustness. What We're Looking For Requirements Required Skills & Qualifications: Proven technical expertise – Strong programming skills in Python, PyTorch, TensorFlow with deep experience in NLP and LLM Hands-on experience in developing, training, and deploying LLM and Agentic workflows Strong background in vector databases, RAG pipelines, and fine-tuning LLMs for document intelligence. Deep understanding of Transformer-based architectures for vision and text processing. Experience working with Hugging Face, OpenCV, TensorRT, and NVIDIA GPUs for model acceleration. Autonomous problem solver – You take initiative, work independently, and drive projects from research to production. Strong experience in scaling AI solutions, including model optimization and deployment on cloud platforms (AWS/GCP/Azure). Thrives in fast-paced environments – You embrace challenges, pivot quickly, and execute effectively. Familiarity with MLOps tools (Docker, FastAPI, Kubernetes) for seamless model deployment. Experience in multi-modal models (Vision + Text). Good to Have Financial background and understanding corporate finance . Contributions to open-source AI projects.

Role: Director - Artificial Intelligence Experience: 8+ years in AI/ML/Data Science Location: Gurgaon, work from office About Tap Health: Tap Health is a deep-tech startup transforming chronic care with AI and changing how people access health information. We build next-generation, AI-driven digital therapeutics for diabetes, PCOS, hypertension, asthma, pregnancy, obesity and more, eliminating the need for human support while significantly reducing costs, improving engagement and boosting outcomes. Tap Health's fully autonomous digital therapeutic for diabetes simplifies management by delivering real-time, daily guidance to optimise health outcomes at less than 10% of the cost of legacy products. Powered by adaptive AI and clinical protocols, it dynamically personalises each user’s care journey, delivering tailored insights, lifestyle interventions, motivational nudges, adherence support, and improved clinical outcomes. Beyond digital therapeutics, Tap Health’s Health Assistant assists users in primary symptom diagnosis based on their inputs and provides instant health advice through a seamless, voice-first experience. www.tap.health Role Overview: Director - Artificial Intelligence We are hiring a full-time Director of Artificial Intelligence in Gurgaon to drive AI-driven healthcare innovations. The ideal candidate has 8+ years of AI/ML/Data Science experience with 3+ months of GenAI production experience, and 2+ year of hands-on GenAI product development. You need to have expertise in Agentic AI deployments, causal inference, and Bayesian modelling, with a strong foundation in LLMs and traditional models. You will lead and collaborate with the AI, Engineering, and Product teams to build scalable, consumer-focused healthcare solutions. As an AI leader, you will be the go-to expert—the engineer others turn to when they hit roadblocks. You will mentor, collaborate and enable high product velocity while fostering a culture of continuous learning and innovation. Skills & Experience The ideal candidate should have the following qualities: Over 8 years of experience in AI/ML/Data Science Strong understanding of fine-tuning, optimization, and neural architectures. Hands-on experience with Python, PyTorch, and FastAI frameworks. Experience running production workloads on one or more hyperscalers (AWS, GCP, Azure, Oracle, DigitalOcean, etc.). In-depth knowledge of LLMs—how they work and their limitations. Ability to assess the advantages of fine-tuning, including dataset selection strategies. Understanding of Agentic AI frameworks, MCPs (Multi-Component Prompting), ACP (Adaptive Control Policies), and autonomous workflows. Familiarity with evaluation metrics for fine-tuned models and industry-specific public benchmarking standards in the healthcare domain. Knowledge of advanced statistical models, reinforcement learning, and Bayesian inference methods. Experience in Causal Inference and Experimentation Science to improve product and marketing outcomes. Proficiency in querying and analyzing diverse datasets from multiple sources to build custom ML and optimization models. Comfortable with code reviews and standard coding practices using Python, Git, Cursor, and CodeRabbit. Show more Show less

Job Description Key Responsibilities : Algorithm & Model Leadership : Lead the design, development, and implementation of state-of-the-art NLP algorithms and models, with a strong focus on Transformers and similar architectures. Data Quality Assurance : Ensure exceptional data quality throughout all stages of acquisition and processing, including data sourcing/collection, ground truth generation, normalization, transformation, and cross-lingual alignment/mapping. Independent Project Management : Manage your own process by identifying and executing high-impact projects, triaging external requests, and ensuring projects reach conclusion in a timely manner for useful results. Technical Communication : Communicate complex proposals and results clearly and effectively, backed by data, and coupled with actionable conclusions to drive critical business decisions. Collaboration : Work closely with a team of highly skilled and motivated data scientists and machine learning Skills & Qualifications : Experience : Must have 4+ years of industry experience in data science. Machine Learning Fundamentals : Solid understanding of machine learning fundamentals, and familiarity with standard algorithms and techniques. Statistical Computing : Expert knowledge of a statistical computing language such as Python. Probability & Statistics : Strong knowledge of probability and statistics, including experimental design, predictive modeling, optimization, and causal inference. Deep Learning Frameworks : Good knowledge of Deep Learning frameworks like PyTorch and Tensorflow is a must. NLP Expertise : Proven experience in designing, developing, and implementing state-of-the-art NLP algorithms and models using Transformers and similar architectures. Data Quality Focus : Demonstrated ability to ensure data quality across all stages of data acquisition and processing. Problem-Solving : Ability to identify and execute on high-impact projects and bring them to conclusion. Communication : Excellent written and verbal technical communication skills. Team Player : A strong team player who collaborates effectively. Education : Bachelor of Technology (B.Tech) or Bachelor of Science (B.S.) degree (or equivalent) in computer science, engineering, or a relevant : Track-record of having developed novel algorithms, e.g., publications in one or more of the following top tier conferences : KDD, WWW, NIPS, ISWC, NAACL, ACL, SIGIR, EMNLP, ICML. Expertise in building and fine-tuning LLM (Large Language Model) models using Transformers and RAG (Retrieval-Augmented Generation) systems. Good understanding of MLOps tools/processes like ElasticSearch, Jenkins, Docker. (ref:hirist.tech) Show more Show less

About The Role We’re looking for top-tier AI/ML Engineers with 6+ years of experience to join our fast-paced and innovative team. If you thrive at the intersection of GenAI, Machine Learning, MLOps, and application development, we want to hear from you. You’ll have the opportunity to work on high-impact GenAI applications and build scalable systems that solve real business problems. Key Responsibilities Design, develop, and deploy GenAI applications using techniques like RAG (Retrieval Augmented Generation), prompt engineering, model evaluation, and LLM integration. Architect and build production-grade Python applications using frameworks such as FastAPI or Flask. Implement gRPC services, event-driven systems (Kafka, PubSub), and CI/CD pipelines for scalable deployment. Collaborate with cross-functional teams to frame business problems as ML use-cases — regression, classification, ranking, forecasting, and anomaly detection. Own end-to-end ML pipeline development: data preprocessing, feature engineering, model training/inference, deployment, and monitoring. Work with tools such as Airflow, Dagster, SageMaker, and MLflow to operationalize and orchestrate pipelines. Ensure model evaluation, A/B testing, and hyperparameter tuning is done rigorously for production systems. Must-Have Skills Hands-on experience with GenAI/LLM-based applications – RAG, Evals, vector stores, embeddings. Strong backend engineering using Python, FastAPI/Flask, gRPC, and event-driven architectures. Experience with CI/CD, infrastructure, containerization, and cloud deployment (AWS, GCP, or Azure). Proficient in ML best practices: feature selection, hyperparameter tuning, A/B testing, model explainability. Proven experience in batch data pipelines and training/inference orchestration. Familiarity with tools like Airflow/Dagster, SageMaker, and data pipeline architecture. Show more Show less

🚨 We are Hiring 🚨 https://grhombustech.com/jobs/job-description-senior-test-automation-lead-playwright-ai-ml-focus/ Job Description Job Title: Senior Test Automation Lead – Playwright (AI/ML Focus) Location: Hyderabad Job Type: Full-Time Company Overview: GRhombus Technologies Pvt Ltd, a pioneer in Software Solutions – Especially on Test Automation, Cyber Security, Full Stack Development, DevOps, Salesforce, Performance Testing and Manual Testing. GRhombus delivery centres are located in India at Hyderabad, Chennai, Bengaluru and Pune. In the Middle East, we are located in Dubai. Our partner offices are located in the USA and the Netherlands. About the Role: We are seeking a passionate and technically skilled Senior Test Automation Lead with deep experience in Playwright-based frameworks and a solid understanding of AI/ML-driven applications. In this role, you will lead the automation strategy and quality engineering practices for next-generation AI products that integrate large-scale machine learning models, data pipelines, and dynamic, intelligent UIs. You will define, architect, and implement scalable automation solutions across AI-enhanced features such as recommendation engines, conversational UIs, real-time analytics, and predictive workflows, ensuring both functional correctness and intelligent behavior consistency. Key Responsibilities: Test Automation Framework Design & Implementation Design and implement robust, modular, and extensible Playwright automation frameworks using TypeScript/JavaScript. Define automation design patterns and utilities that can handle complex AI-driven UI behaviors (e.g., dynamic content, personalization, chat interfaces). Implement abstraction layers for easy test data handling, reusable components, and multi-browser/platform execution. AI/ML-Specific Testing Strategy Partner with Data Scientists and ML Engineers to understand model behaviors, inference workflows, and output formats. Develop strategies for testing non-deterministic model outputs (e.g., chat responses, classification labels) using tolerance ranges, confidence intervals, or golden datasets. Design tests to validate ML integration points: REST/gRPC API calls, feature flags, model versioning, and output accuracy. Include bias, fairness, and edge-case validations in test suites where applicable (e.g., fairness in recommendation engines or NLP sentiment analysis). End-to-End Test Coverage Lead the implementation of end-to-end automation for: Web interfaces (React, Angular, or other SPA frameworks) Backend services (REST, GraphQL, WebSockets) ML model integration endpoints (real-time inference APIs, batch pipelines) Build test utilities for mocking, stubbing, and simulating AI inputs and datasets. CI/CD & Tooling Integration Integrate automation suites into CI/CD pipelines using GitHub Actions, Jenkins, GitLab CI, or similar. Configure parallel execution, containerized test environments (e.g., Docker), and test artifact management. Establish real-time dashboards and historical reporting using tools like Allure, ReportPortal, TestRail, or custom Grafana integrations. Quality Engineering & Leadership Define KPIs and QA metrics for AI/ML product quality: functional accuracy, model regression rates, test coverage %, time-to-feedback, etc. Lead and mentor a team of automation and QA engineers across multiple projects. Act as the Quality Champion across the AI platform by influencing engineering, product, and data science teams on quality ownership and testing best practices. Agile & Cross-Functional Collaboration Work in Agile/Scrum teams; participate in backlog grooming, sprint planning, and retrospectives. Collaborate across disciplines: Frontend, Backend, DevOps, MLOps, and Product Management to ensure complete testability. Review feature specs, AI/ML model update notes, and data schemas for impact analysis. Required Skills and Qualifications: Technical Skills: Strong hands-on expertise with Playwright (TypeScript/JavaScript). Experience building custom automation frameworks and utilities from scratch. Proficiency in testing AI/ML-integrated applications: inference endpoints, personalization engines, chatbots, or predictive dashboards. Solid knowledge of HTTP protocols, API testing (Postman, Supertest, RestAssured). Familiarity with MLOps and model lifecycle management (e.g., via MLflow, SageMaker, Vertex AI). Experience in testing data pipelines (ETL, streaming, batch), synthetic data generation, and test data versioning. Domain Knowledge: Exposure to NLP, CV, recommendation engines, time-series forecasting, or tabular ML models. Understanding of key ML metrics (precision, recall, F1-score, AUC), model drift, and concept drift. Knowledge of bias/fairness auditing, especially in UI/UX contexts where AI decisions are shown to users. Leadership & Communication: Proven experience leading QA/Automation teams (4+ engineers). Strong documentation, code review, and stakeholder communication skills. Experience collaborating in Agile/SAFe environments with cross-functional teams. Preferred Qualifications: Experience with AI Explainability frameworks like LIME, SHAP, or What-If Tool. Familiarity with Test Data Management platforms (e.g., Tonic.ai, Delphix) for ML training/inference data. Background in performance and load testing for AI systems using tools like Locust, JMeter, or k6. Experience with GraphQL, Kafka, or event-driven architecture testing. QA Certifications (ISTQB, Certified Selenium Engineer) or cloud certifications (AWS, GCP, Azure). Education: Bachelor’s or Master’s degree in Computer Science, Software Engineering, or related technical discipline. Bonus for certifications or formal training in Machine Learning, Data Science, or MLOps. Why Join Us? At GRhombus, we are redefining quality assurance and software testing with cutting-edge methodologies and a commitment to innovation. As a test automation lead, you will play a pivotal role in shaping the future of automated testing, optimizing frameworks, and driving efficiency across our engineering ecosystem. Be part of a workplace that values experimentation, learning, and professional growth. Contribute to an organisation where your ideas drive innovation and make a tangible impact. Show more Show less