1028 Inference Jobs - Page 37

About Us At Valiance, we are building next-generation AI solutions to solve high-impact business problems. As part of our AI/ML team, you’ll work on deploying cutting-edge Gen AI models, optimizing performance, and enabling scalable experimentation. Role Overview We are looking for a skilled MLOps Engineer with hands-on experience in deploying open-source Generative AI models on cloud and on-prem environments. The ideal candidate should be adept at setting up scalable infrastructure, observability, and experimentation stacks while optimizing for performance and cost. Responsibilities Deploy and manage open-source Gen AI models (e.g., LLaMA, Mistral, Stable Diffusion) on cloud and on-prem environments Set up and maintain observability stacks (e.g., Prometheus, Grafana, OpenTelemetry) for monitoring Gen AI model health and performance Optimize infrastructure for latency, throughput, and cost-efficiency in GPU/CPU-intensive environments Build and manage an experimentation stack to enable rapid testing of various open-source Gen AI models Work closely with ML scientists and data teams to streamline model deployment pipelines Maintain CI/CD workflows and automate key stages of the model lifecycle Leverage NVIDIA tools (Triton Inference Server, TensorRT, CUDA, etc.) to improve model serving performance (preferred) Required Skills & Qualifications Strong experience in deploying ML/Gen AI models using Kubernetes, Docker, and CI/CD tools Proficiency in Python, Bash scripting, and infrastructure-as-code tools (e.g., Terraform, Helm) Experience with ML observability and monitoring stacks Familiarity with cloud services (GCP, AWS, or Azure) and/or on-prem environments Exposure to model tracking tools like MLflow, Weights & Biases, or similar Bachelor’s/Master’s in Computer Science, Engineering, or related field Nice to Have Hands-on experience with NVIDIA ecosystem (Triton, CUDA, TensorRT, NGC) Familiarity with serving frameworks like vLLM, DeepSpeed, or Hugging Face Transformers Show more Show less

Experience : 3.00 + years Salary : USD 30000-48000 / year (based on experience) Expected Notice Period : 15 Days Shift : (GMT+05:30) Asia/Kolkata (IST) Opportunity Type : Remote Placement Type : Full Time Permanent position(Payroll and Compliance to be managed by: EOR Partner) (*Note: This is a requirement for one of Uplers' client - InsightNext) What do you need for this opportunity? Must have skills required: Algorithm, industry-specific AI, rapid prototyping, start-up, statistical modelling, AI systems, AI/ML, CI/CD, LLM, Ml frameworks, Cloud Server (Google / AWS), Python InsightNext is Looking for: Role Description This is a full-time remote role for a Senior AI/ML Engineer . The Senior AI/ML Engineer will spearhead the design, development, and deployment of advanced machine learning models, including Large Language Models (LLMs), Agentic AI Frameworks, and multimodal AI systems , tailored to diverse client needs across industries such as finance, healthcare, retail, and technology Responsibilities include client consultations, data preprocessing, model customization, performance optimization, and seamless integration of AI solutions into client ecosystems . The role requires staying ahead of AI/ML innovations, delivering high-impact consulting engagements, and producing comprehensive technical documentation to ensure client success. Key Responsibilities Collaborate with clients to assess business challenges and design bespoke AI solutions leveraging LLMs, agentic workflows, and multimodal models for applications like intelligent automation, predictive analytics, and natural language processing. Develop and fine-tune scalable AI/ML pipelines, utilizing distributed training, model compression, and low-latency inference to meet client-specific performance requirements. Perform advanced data preprocessing, handling diverse datasets (e.g., unstructured, multimodal, or streaming data) to ensure model robustness. Evaluate and benchmark model performance using metrics like BLEU, ROUGE, perplexity, or client-defined KPIs, ensuring alignment with business objectives. Stay at the forefront of AI/ML advancements (e.g., transformer architectures, neurosymbolic AI, retrieval augmented generation) to deliver cutting-edge solutions. Deploy AI models into client environments (e.g., cloud platforms, edge devices, or hybrid systems) using APIs and MLOps best practices. Provide thought leadership through client workshops, whitepapers, and presentations, showcasing expertise in AI trends and innovations. Mentor junior engineers and contribute to internal knowledge-sharing initiatives to elevate the firm’s AI consulting capabilities Qualifications- Technical Skills: Expertise in AI systems, ML frameworks, and Python Experience with cloud platforms (e.g. GCP, Azure and Azure) and development tools Strong programming skills in Python and modern software development practices such as CI/CD version controlling with Git Consulting Abilities: Client communication and solution presentation Strong project management track record Ability to thrive in fast-paced, remote, and cross-functional teams using agile methodologies Core Knowledge: Advanced knowledge of computer science, algorithms, and statistical modeling for probabilistic reasoning and uncertainty quantification People Skills: Excellent communication and teamwork abilities Education & Experience: Bachelors/Master's/Ph.D. in relevant field 3+ years AI/ML experience (2+ with clients) Proven industry solutions delivery Preferred Qualification: Industry-specific AI experience Rapid prototyping capabilities How to apply for this opportunity? Step 1: Click On Apply! And Register or Login on our portal. Step 2: Complete the Screening Form & Upload updated Resume Step 3: Increase your chances to get shortlisted & meet the client for the Interview! About Uplers: Our goal is to make hiring reliable, simple, and fast. Our role will be to help all our talents find and apply for relevant contractual onsite opportunities and progress in their career. We will support any grievances or challenges you may face during the engagement. (Note: There are many more opportunities apart from this on the portal. Depending on the assessments you clear, you can apply for them as well). So, if you are ready for a new challenge, a great work environment, and an opportunity to take your career to the next level, don't hesitate to apply today. We are waiting for you! Show more Show less

About Us: AppZen is the leader in autonomous spend-to-pay software. Its patented artificial intelligence accurately and efficiently processes information from thousands of data sources so that organizations can better understand enterprise spend at scale to make smarter business decisions. It seamlessly integrates with existing accounts payable, expense, and card workflows to read, understand, and make real-time decisions based on your unique spend profile, leading to faster processing times and fewer instances of fraud or wasteful spend. Global enterprises, including one-third of the Fortune 500, use AppZen’s invoice, expense, and card transaction solutions to replace manual finance processes and accelerate the speed and agility of their businesses. To learn more, visit us at www.appzen.com . About the Role: We are looking for a Senior Data Scientist to come and work on our growing AI stack. You will be working with a team of highly skilled and motivated data scientists and machine learning engineers. If you are excited about natural language understanding and machine translation, AppZen is the right place for you to apply and grow your skills. Must haves: Solid understanding of machine learning fundamentals, and familiar with standard algorithms and techniques. Expert knowledge of a statistical computing language such as Python , Knowledge of probability and statistics, including experimental design, predictive modeling, optimization, and causal inference. Lead the design, development, and implementation of state-of-the-art NLP algorithm s and models using Transformers and similar architectures. Good Understanding of MLOps tools/processes like ElasticSearch, Jenkins, Docker is a plus. Good knowledge of Deep Learning frameworks like PyTorch , Tensorflow is a must. Ensure data quality throughout all stages of acquisition and processing, including such areas as data sourcing/collection, ground truth generation, normalization, transformation, cross-lingual alignment/mapping, etc. Manage your own process: identify and execute on high impact projects, triage external requests, and make sure you bring projects to conclusion in time for the results to be useful. Excellent written and verbal technical communication skills; communicate proposals and results in a clear manner backed by data and coupled with actionable conclusions to drive business decisions. M.Tech/B.Tech. or equivalent experience in Computer Science, Engineering, Statistics, or other relevant technical field. Must have 4+ years of industry experience. You are a team player. Nice-to-Have: Track-record of having developed novel algorithms, e.g. publications in one or more of the following: KDD, WWW, NIPS, ISWC, NAACL, ACL, SIGIR, EMNLP, ICML etc. Expertise in building and fine-tuning LLM models using Transformers and RAG systems. Show more Show less

About Birlasoft: Birlasoft, a global leader at the forefront of Cloud, AI, and Digital technologies, seamlessly blends domain expertise with enterprise solutions. The company’s consultative and design-thinking approach empowers societies worldwide, enhancing the efficiency and productivity of businesses. As part of the multibillion-dollar diversified CKA Birla Group, Birlasoft with its 12,000+ professionals, is committed to continuing the Group’s 170-year heritage of building sustainable communities. About the Job- We are seeking a skilled Generative AI Developer to design, develop, and optimize AI-powered solutions using deep learning and natural language processing (NLP). You will work on cutting-edge models to create innovative applications and enhance AI capabilities across various domains. Job Title – Generative AI Developer Location - Pune, Mumbai, Noida, Chennai, Bangalore, Hyderabad Educational Background – Any Graduate Key Responsibilities – Develop, fine-tune, and deploy Generative AI models such as GPT, Stable Diffusion, or other LLM-based architectures. Design and implement machine learning pipelines for text, image, and audio generation tasks. Optimize model performance, training efficiency, and inference speed. Conduct research on the latest advancements in AI to enhance model capabilities. Collaborate with data scientists and software engineers to integrate AI models into production environments. Ensure ethical AI practices and compliance with data privacy regulations . 6. Skills Required – Python, Generative AI models, LLM Training, NLP Show more Show less

Experience : 5.00 + years Salary : INR 5000000.00 / year (based on experience) Expected Notice Period : 15 Days Shift : (GMT+05:30) Asia/Kolkata (IST) Opportunity Type : Remote Placement Type : Full Time Permanent position(Payroll and Compliance to be managed by: Precanto) (*Note: This is a requirement for one of Uplers' client - A fast-growing, VC-backed B2B SaaS platform revolutionizing financial planning and analysis for modern finance teams.) What do you need for this opportunity? Must have skills required: async workflows, MLOps, Ray Tune, Data Engineering, MLFlow, Supervised Learning, Time-Series Forecasting, Docker, Machine Learning, NLP, Python, SQL A fast-growing, VC-backed B2B SaaS platform revolutionizing financial planning and analysis for modern finance teams. is Looking for: We are a fast-moving startup building AI-driven solutions to the financial planning workflow. We’re looking for a versatile Machine Learning Engineer to join our team and take ownership of building, deploying, and scaling intelligent systems that power our core product. Job Description- Full-time Team: Data & ML Engineering We’re looking for 5+ years of experience as a Machine Learning or Data Engineer (startup experience is a plus) What You Will Do- Build and optimize machine learning models — from regression to time-series forecasting Work with data pipelines and orchestrate training/inference jobs using Ray, Airflow, and Docker Train, tune, and evaluate models using tools like Ray Tune, MLflow, and scikit-learn Design and deploy LLM-powered features and workflows Collaborate closely with product managers to turn ideas into experiments and production-ready solutions Partner with Software and DevOps engineers to build robust ML pipelines and integrate them with the broader platform Basic Skills Proven ability to work creatively and analytically in a problem-solving environment Excellent communication (written and oral) and interpersonal skills Strong understanding of supervised learning and time-series modeling Experience deploying ML models and building automated training/inference pipelines Ability to work cross-functionally in a collaborative and fast-paced environment Comfortable wearing many hats and owning projects end-to-end Write clean, tested, and scalable Python and SQL code Leverage async workflows and cloud-native infrastructure (S3, Docker, etc.) for high-throughput data processing. Advanced Skills Familiarity with MLOps best practices Prior experience with LLM-based features or production-level NLP Experience with LLMs, vector stores, or prompt engineering Contributions to open-source ML or data tools TECH STACK Languages: Python, SQL Frameworks & Tools: scikit-learn, Prophet, pyts, MLflow, Ray, Ray Tune, Jupyter Infra: Docker, Airflow, S3, asyncio, Pydantic How to apply for this opportunity? Step 1: Click On Apply! And Register or Login on our portal. Step 2: Complete the Screening Form & Upload updated Resume Step 3: Increase your chances to get shortlisted & meet the client for the Interview! About Uplers: Our goal is to make hiring reliable, simple, and fast. Our role will be to help all our talents find and apply for relevant contractual onsite opportunities and progress in their career. We will support any grievances or challenges you may face during the engagement. (Note: There are many more opportunities apart from this on the portal. Depending on the assessments you clear, you can apply for them as well). So, if you are ready for a new challenge, a great work environment, and an opportunity to take your career to the next level, don't hesitate to apply today. We are waiting for you! Show more Show less

About Anyscale At Anyscale, we're on a mission to democratize distributed computing and make it accessible to software developers of all skill levels. We’re commercializing Ray, a popular open-source project that's creating an ecosystem of libraries for scalable machine learning. Companies like OpenAI, Uber, Spotify, Instacart, Cruise, and many more, have Ray in their tech stacks to accelerate the progress of AI applications out into the real world. With Anyscale, we’re building the best place to run Ray, so that any developer or data scientist can scale an ML application from their laptop to the cluster without needing to be a distributed systems expert. Proud to be backed by Andreessen Horowitz, NEA, and Addition with $250+ million raised to date. About The Role Ray aims to provide a universal API for building distributed applications. To achieve this goal requires a distributed system with high levels of performance and reliability. We're looking for engineers with systems software experience that are interested in contributing to the Ray backend. About The Ray Core Team The Ray Core team develops and maintains the Ray C++ backend (e.g., distributed scheduler, language runtime integration, I/O and memory subsystems). We are responsible for the reliability, scalability, and performance of Ray as well as ensuring that Ray provides the right feature set to support higher level libraries and use cases. The team works on a balance of new features / distributed libraries, test infra improvements, debugging, and longer-term architectural improvements to Ray. A Snapshot Of Projects You Can Work On Optimizing performance of large-scale workloads on Ray Stability and stress testing infrastructure Improving fault tolerance (HA) As Part Of This Role, You Will Develop high quality open source software to simplify distributed programming (Ray) Identify, implement, and evaluate architectural improvements to Ray core Improve the testing process for Ray to make releases as smooth as possible Communicate your work to a broader audience through talks, tutorials, and blog posts We'd Love To Hear From You If Have At least 2 year of relevant work experience Solid background in algorithms, data structures, system design Experience in building scalable and fault-tolerant distributed systems Knowledge of distributed model training and inference (e.g. tensor parallel, pipeline parallel) is preferred Knowledge of GPU programming is preferred Anyscale Inc. is an Equal Opportunity Employer. Candidates are evaluated without regard to age, race, color, religion, sex, disability, national origin, sexual orientation, veteran status, or any other characteristic protected by federal or state law. Anyscale Inc. is an E-Verify company and you may review the Notice of E-Verify Participation and the Right to Work posters in English and Spanish Show more Show less

Key Responsibilities: Development and training of foundational models across modalities End to end lifecycle management of foundational model development from data curation to model deployment by collaborating with the core team members Conduct research to advance model accuracy and efficiency. Implement state-of-the-art AI techniques in Text/Speech and language processing. Collaborate with cross-functional teams to build robust AI stacks and integrate them seamlessly into production pipelines. Develop pipelines for debugging, CI/CD and observability of the development process. Demonstrated ability to lead projects and provide innovative solutions. Should document technical processes, model architectures, and experimental results., maintain clear and organized code repositories. Education: Bachelor’s or Master’s in any related field with 2 to 5 years of experience in industry in applied AI/ML. Minimum Requirements: Proficiency in Python programming and familiarity with 3-4 from the list of tools specified below: Foundational model libraries and frameworks (TensorFlow, PyTorch, HF Transformers, NeMo, etc) Experience with distributed training (SLURM, Ray, Pytorch DDP, Deepspeed, NCCL, etc) Inference servers (vLLM) Version control systems and observability (Git, DVC, MLFlow, W&B, KubeFlow) Data analysis and curation tools (Dask, Milvus, Apache Spark, Numpy) Text-to-Speech tools (Whisper, Voicebox, VALL-E (X), HuBERT/Unitspeech) LLMOPs Tools, Dockers etc Hands on experience with AI application libraries and frameworks (DSPy, Langgraph, langchain, llamaindex etc.) Show more Show less

Summary Understand complex and critical business problems from Country/Regional/Global business functions, formulate integrated analytical approach to mine data sources, employ statistical methods and machine learning algorithms to discover actionable insights and automate process for reducing effort and time for repeated use. High agility to be able to work across various business domains (commercial, NTO, GDD, NIBR, NBS) or divisions (Onco, GenMeds, Sandoz). Able to use business presentations, smart visualization tools and contextual storytelling to translate findings back to business users with a clear impact. No direct team management. About The Role Data Scientist I Location – Hyderabad Hybrid Major Accountabilities Work on a variety of business applications including but not limited to: Customer Segmentation & Targeting, Event Prediction, Propensity Modelling, Churn Modelling, Customer Lifetime Value Estimation, Forecasting, Recom-mender Systems, Modelling Response to Incentives, Marketing Mix Optimization, Price Optimization Develop automation for repeatedly refreshing analysis and generating insights Collaborates with globally dispersed internal stakeholders and cross-functional teams to solve critical business problems and deliver successfully on high visibility strategic initiatives Understand life science data sources including sales, contracting, promotions, social me-dia, patient claims and Real-World Evidence. Quickly learn the use of tools, data sources and analytical techniques needed to answer a wide range of critical business questions Articulate solutions/recommendations to business users. Works with senior data science team member to present analytical content concisely and effectively Manage own tasks and work with allied team members; plans proactively, anticipates and actively manages change, sets stakeholder expectations as required, identifies operational risks and independently drives issues to resolution, minimizes surprise escalations Independently identifies research articles and reproduce/apply methodology to Novartis business problems Has high learning agility and diligently follows updates in industry and area of work. Essential Requirements: Quality of insights generated, and solutions provided, with quantified business impact / ROI Effective communication with Country/Regional/Global stakeholders Executes agreed targets for self Define and execute development plans for potential Subject Matter Experts Find creative ways to build team capabilities and play a direct role in driving a culture of innovation Values and Behaviors: in line with leadership standards of Novartis Education: PhD or Masters (or bachelor’s from a top Tier University) in a quantitative discipline (e.g. Statistics, Economics, Mathematics, Computer Science, Bioinformatics, Ops Research, etc.)Experience: 7+ years of relevant experience in Data Science. In case of PhD, 4+ years post qualification experience. Experience in commercial pharma would be a bonus. Extensive experience required in: Statistical and Machine Learning techniques like Regression (esp., GLM, non-linear, etc.), Classification (CART, RF, SVM, GBM, etc.) Clustering, Design of Experiments, Monte Carlo Simulations, Statistical Inference, Feature Engineering, Time Series Forecasting, Text Mining and Natural Language Processing Good to have skills: Stochastic models, Bayesian Models, Markov Chains, Dynamic Programming and Optimization techniques, Deep Learning techniques on structured and un-structured data, Recommender Systems (content and collaborative filtering), etc. Tools and Packages: SAS, R, Python, SQL. Exposure to dashboard or web-apps building using Qliksense, R-Shiny, Flask, etc. would be an added advantage. Why Novartis: Our purpose is to reimagine medicine to improve and extend people’s lives and our vision is to become the most valued and trusted medicines company in the world. How can we achieve this? With our people. It is our associates that drive us each day to reach our ambitions. Be a part of this mission and join us! Learn more here: https://www.novartis.com/about/strategy/people-and-culture You’ll receive: You can find everything you need to know about our benefits and rewards in the Novartis Life Handbook. https://www.novartis.com/careers/benefits-rewards Commitment To Diversity And Inclusion Novartis is committed to building an outstanding, inclusive work environment and diverse teams' representative of the patients and communities we serve. Join our Novartis Network: If this role is not suitable to your experience or career goals but you wish to stay connected to hear more about Novartis and our career opportunities, join the Novartis Network here: https://talentnetwork.novartis.com/network. Why Novartis: Helping people with disease and their families takes more than innovative science. It takes a community of smart, passionate people like you. Collaborating, supporting and inspiring each other. Combining to achieve breakthroughs that change patients’ lives. Ready to create a brighter future together? https://www.novartis.com/about/strategy/people-and-culture Join our Novartis Network: Not the right Novartis role for you? Sign up to our talent community to stay connected and learn about suitable career opportunities as soon as they come up: https://talentnetwork.novartis.com/network Benefits and Rewards: Read our handbook to learn about all the ways we’ll help you thrive personally and professionally: https://www.novartis.com/careers/benefits-rewards Show more Show less

About Rapido We are India’s largest bike-taxi platform, steadily venturing into Auto, Delivery, Rental, and more. Currently, present in ~100 cities, we are growing close to ~50% year-on-year with steady funding. We have changed the concept of intra-city travel and made last-mile connectivity affordable to all. Along with being the #1 choice of 40 million people, we have also built a solid captain base of over 5 million registered captains, who have bettered their lives with Rapido. As an employer, we provide a lot of ownership to our team members providing multiple avenues for them to grow within the company. You will only grow with us with the right balance of ambition, fun, and transparent work culture! Job Summary: As a Senior Data Scientist your will be responsible for understanding product/business priorities, conducting opportunity analysis, defining product level metrics, setting metric targets, building data-driven hypothesis, and running high-quality experiments to hit those targets.A Senior Data Scientist should have an experienced of solving complex data analysis and machine learning problems in a real-world product setting. The role requires someone who is very comfortable working across teams, good at communicating and able to drive analysis and manage multiple streams. Your role would also require you to mentor junior Data Scientists in their learning and development. You will be part of a dynamic team and regularly work with colleagues from other verticals to co-ordinate and collaborate within an increasingly interconnected Data Science team here @ Rapido. Job Responsibilities: ● Translating business requirements into analytical solutions ● Do hands-on data analysis, using statistical techniques ● Pre-processing of structured and unstructured data ● Should be able to steer direction related to improving data collection for analytical systems ● Should be proficient in model development, validation and then roll-out ● Understand business challenges and goals to formulate the approach for data analysis and model creation ● Tune the model(s) to improve results provided over time ● Create an analytics roadmap for the project ● Collaborate with a technology/data engineering team to transfer the business understanding, get the model productionized and validate the output ● Work in highly collaborative teams that strive to build quality systems and provide business value ● Articulate insights and story telling for the senior management ● Mentor Junior Data team members in their learning and development Job Requirements: ● Work experience - 4 years as a Data Scientist or equivalent position and overall 6 years ● Masters or Ph.D. in Statistics, Math, CS, Econ, Physics, Engineering or related scientific disciplines; ● Passion for understanding business problems and trying to address them by leveraging data - characterized by high-volume, high dimensionality from multiple sources ● Experience with building predictive statistical, behavioral or other models via supervised and unsupervised machine learning, statistical analysis, and other predictive modeling techniques. ● Worked in a big data environment before alongside a data engineering team (and data visualization team, data and business analysts) ● Statistical knowledge - Proven experience in statistical methods like and not limited to Markov Models, Stochastic models, Bayesian Models, Classification Models, Cluster Analysis, Multivariate Stats, Regression Models, Ensemble Techniques ● Machine Learning - Prior work experience in one or more of these knowledge areas (domain agnostic): Price Modeling, Demand Forecasting, Recommender Systems, User Profiling, Fraud Detectors ● Experience in SQL is must ● Technologies - Proficiency in Python (must have) and any other prog. language; Specific libraries may include - Scikit-learn, pandas, TensorFlow, Keras, Torch, Caffe, Theano, etc; ● Experience of Pyspark is a plus ● Experience with A/B Testing framework ● Experience in managing a small team of data scientists is a plus What’s there for you? ● If you are excited to solve Complex Business problems at scale where you will cater to 10 million rides in a day across 100 cities, no better place to be. ● You can go swimming in our 100s of TBs of data on self-managed databases ● Opportunity to contribute in solving challenging problems like supply-demand matching, demand forecasting, ROI optimization, Segmentation, Causal Inference and many more. ● We have a very flat hierarchy and collaboration is our success mantra ● Chance to work with a lean team of highly talented and motivated people across all levels ● You will be working with cross functional teams and have a great learning curve and business exposure. Show more Show less

Equifax is where you can power your possible. If you want to achieve your true potential, chart new paths, develop new skills, collaborate with bright minds, and make a meaningful impact, we want to hear from you. What You’ll Do Design, develop and deploy agent-based AI systems using LLMs Build and scale Retrieval-Augmented Generation pipelines for real-time and offline inference. Develop and optimize training workflows for fine-tuning and adapting models to domain-specific tasks. Collaborate with cross-functional teams to integrate knowledge base into agent frameworks. Drive best practices in AI Engineering, model lifecycle management, and production deployment on Google Cloud (GCP) Implement version control strategies using Git, manage code repositories and ensure best practices in code management. Develop, manage CI/CD pipelines using Jenkins or other relevant tools to streamline deployment and updates. Monitor, evaluate, and improve model performance post- deployment on Google Cloud. Communicate technical findings and insights to non-technical stakeholders. Participate in technical discussions and contribute to strategic planning. What Experience You Need Master's / Bachelors in Computer Science, Artificial Intelligence, Machine Learning, or related field. 5+ years of experience in AI/ML engineering, with a strong focus on LLM-based applications. At least 10+ years of experience in IT overall. Proven experience in building agent-based applications using Gemini, OpenAI or similar models. Deep understanding of RAG systems, vector databases, and knowledge retrieval strategies. Hands-on experience with LangChain and LangGraph frameworks. Solid background in model training, fine-tuning, evaluation and deployment. Strong coding skills in Python and experience with modern MLOps practices. What Could Set You Apart Familiarity with frontend integration of AI agents (Eg. using Angular, Mesop or similar frameworks). Experience with Google Cloud services like BigQuery, Vertex AI, Agent Builder. Exposure to Angular framework We offer a hybrid work setting, comprehensive compensation and healthcare packages, attractive paid time off, and organizational growth potential through our online learning platform with guided career tracks. Are you ready to power your possible? Apply today, and get started on a path toward an exciting new career at Equifax, where you can make a difference! Who is Equifax? At Equifax, we believe knowledge drives progress. As a global data, analytics and technology company, we play an essential role in the global economy by helping employers, employees, financial institutions and government agencies make critical decisions with greater confidence. We work to help create seamless and positive experiences during life’s pivotal moments: applying for jobs or a mortgage, financing an education or buying a car. Our impact is real and to accomplish our goals we focus on nurturing our people for career advancement and their learning and development, supporting our next generation of leaders, maintaining an inclusive and diverse work environment, and regularly engaging and recognizing our employees. Regardless of location or role, the individual and collective work of our employees makes a difference and we are looking for talented team players to join us as we help people live their financial best. Equifax is an Equal Opportunity Employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability, or status as a protected veteran. Show more Show less

General Information Req # WD00082748 Career area: Artificial Intelligence Country/Region: India State: Karnataka City: BANGALORE Date: Monday, May 19, 2025 Working time: Full-time Additional Locations : India - Karnātaka - Bangalore India - Karnātaka - BANGALORE Why Work at Lenovo We are Lenovo. We do what we say. We own what we do. We WOW our customers. Lenovo is a US$57 billion revenue global technology powerhouse, ranked #248 in the Fortune Global 500, and serving millions of customers every day in 180 markets. Focused on a bold vision to deliver Smarter Technology for All, Lenovo has built on its success as the world’s largest PC company with a full-stack portfolio of AI-enabled, AI-ready, and AI-optimized devices (PCs, workstations, smartphones, tablets), infrastructure (server, storage, edge, high performance computing and software defined infrastructure), software, solutions, and services. Lenovo’s continued investment in world-changing innovation is building a more equitable, trustworthy, and smarter future for everyone, everywhere. Lenovo is listed on the Hong Kong stock exchange under Lenovo Group Limited (HKSE: 992) (ADR: LNVGY). This transformation together with Lenovo’s world-changing innovation is building a more inclusive, trustworthy, and smarter future for everyone, everywhere. To find out more visit www.lenovo.com, and read about the latest news via our StoryHub. Description and Requirements Key Responsibilities : Lead end-to-end transitions of AI PoCs into production environments, managing the entire process from testing to final deployment. Configure, install, and validate AI systems using key platforms, including VMware ESXi and vSphere for server virtualization, Linux (Ubuntu/RHEL) and Windows Server for operating system integration, Docker and Kubernetes for containerization and orchestration of AI workloads. Conduct comprehensive performance benchmarking and AI inferencing tests to validate system performance in production. Optimize deployed AI models for accuracy, performance, and scalability to ensure they meet production-level requirements and customer expectations. Serve as the primary technical lead/SME for the AI POC deployment in enterprise environments, focusing on AI solutions powered by Nvidia GPUs. Work hands-on with Nvidia AI Enterprise and GPU-accelerated workloads, ensuring efficient deployment and model performance using frameworks such as PyTorch and TensorFlow. Lead technical optimizations aimed at resource efficiency, ensuring that models are deployed effectively within the customer’s infrastructure. Ensure the readiness of customer environments to handle, maintain, and scale AI solutions post-deployment. take ownership of AI project deployments, overseeing all phases from planning to final deployment, ensuring that timelines and deliverables are met. Collaborate with stakeholders, including cross-functional teams (e.g., Lenovo AI Application, solution architects), customers, and internal resources to coordinate deployments and deliver results on schedule. Implement risk management strategies and develop contingency plans to mitigate potential issues such as hardware failures, network bottlenecks, and software incompatibilities. Maintain ongoing, transparent communication with all relevant stakeholders, providing updates on project status and addressing any issues or changes in scope. Experience : Overall experience 7-10 years Relevant experience of 2-4 years in deploying AI/ML models/ AI solutions using Nvidia GPUs in enterprise production environments. Demonstrated success in leading and managing complex AI infrastructure projects, including PoC transitions to production at scale. Technical Expertise: Experience in the area of Retrieval Augmented Generation (RAG), NVIDIA AI Enterprise, NVIDIA Inference Microservices (NIMs), Model Management, Kubernetes Extensive experience with Nvidia AI Enterprise, GPU-accelerated workloads, and AI/ML frameworks such as PyTorch and TensorFlow. Proficient in deploying AI solutions across enterprise platforms, including VMware ESXi, Docker, Kubernetes, and Linux (Ubuntu/RHEL) and Windows Server environments. MLOps proficiency with hands-on experience using tools such as Kubeflow, MLflow, or AWS SageMaker for managing the AI model lifecycle in production. Strong understanding of virtualization and containerization technologies to ensure robust and scalable deployments. Additional Locations : India - Karnātaka - Bangalore India - Karnātaka - BANGALORE India India - Karnātaka * India - Karnātaka - Bangalore , * India - Karnātaka - BANGALORE NOTICE FOR PUBLIC At Lenovo, we follow strict policies and legal compliance for our recruitment process, which includes role alignment, employment terms discussion, final selection and offer approval, and recording transactions in our internal system. Interviews may be conducted via audio, video, or in-person depending on the role, and you will always meet with an official Lenovo representative. Please beware of fraudulent recruiters posing as Lenovo representatives. They may request cash deposits or personal information. Always apply through official Lenovo channels and never share sensitive information. Lenovo does not solicit money or sensitive information from applicants and will not request payments for training or equipment. Kindly verify job offers through the official Lenovo careers page or contact IndiaTA@lenovo.com. Stay informed and cautious to protect yourself from recruitment fraud. Report any suspicious activity to local authorities.

At Lilly, we unite caring with discovery to make life better for people around the world. We are a global healthcare leader headquartered in Indianapolis, Indiana. Our employees around the world work to discover and bring life-changing medicines to those who need them, improve the understanding and management of disease, and give back to our communities through philanthropy and volunteerism. We give our best effort to our work, and we put people first. We’re looking for people who are determined to make life better for people around the world. About Lilly: At Lilly, we unite caring with discovery to make life better for people worldwide. We are one of the Top 10 most valued companies of the world, and global healthcare leader headquartered in Indianapolis, Indiana. Our 44,000 employees work to discover and bring life-changing medicines to those who need them, improve the understanding and management of disease, and give back to our communities through philanthropy and volunteerism. We give our best effort to our work, and we put people first. We’re looking for people who are determined to make life better for people around the globe. We have pioneered the development of several significant drugs and treatments over the years – and strong pipeline including being the first to mass produce insulin, penicillin, tuberculosis (MDR-TB) and polio vaccines . At Lilly, our research and product-oriented mindset and focus on Accelerate, Reach and Scale using new-gen technologies helps us redefine what is possible through technology in pharma. Impact driven growth combined with a commitment to make a real difference in lives makes Lilly the place of choice for the best talent to come together and be at the forefront of innovation and acceleration . Join us to make significant difference in the well-being of people worldwide. Job Title: Data Science Job Level: Principal Scientist I/II - Data - Advanced Analytics - LCCI Experience Level: 7 to 10 Years Qualification and Eligibility criteria: B.Tech./Masters/PhD. in Computer Vision related field Location : India – Bengaluru Purpose of the Role: The Data Scientist collaborates directly with business stakeholders to design and deploy state-of-the-art machine learning, deep learning, optimisation, and computer vision algorithms. These solutions address complex challenges across diverse domains, including manufacturing vision-based inspections, medical imaging, robotics vision, and finance. This role requires a proactive approach to developing and deploying algorithms in suitable environments to achieve impactful results. Key Responsibilities: 1. Apply traditional and advanced computer vision algorithms to solve complex challenges. 2. Handle imbalanced, noisy, and high-dimensional datasets, ensuring robust and scalable outcomes. 3. Partner with cross-functional teams to solve problems in manufacturing, medical imaging, robotics vision, finance, etc. 4. Configure and integrate imaging systems, including cameras and sensors, for diverse operational settings such as labs, manufacturing floors, and robotics systems. 5. Build and optimize models for various scenarios, including real-time inference, batch processing, and edge computing. 6. Lead the end-to-end lifecycle of model development, deployment, and performance monitoring across different environments, including labs, manufacturing floors, and edge devices. 7. Leverage machine learning, optimisation, and deep learning techniques to enhance manufacturing line capacity and reduce downtime. 8. Utilize CI/CD workflows, version control systems (e.g., Git), and Docker to ensure reproducible and efficient research processes. 9. Leverage expertise in image annotation tools and image registration methods for domain-specific challenges. 10. Mentor team members and foster collaboration within cross-functional teams to drive innovation and solve technical problems Essential Tech knowledge: Core Software Development and Programming 1. Advanced proficiency in Python; experience with C++ is a plus. Familiarity with scalable software development practices and integration of hardware systems into software solutions. Core Computer Vision Expertise 2. Proficiency in traditional algorithms (e.g., edge detection, feature extraction) and modern deep learning approaches (e.g., CNNs, object detection, and segmentation). 3. Experience with image processing libraries such as OpenCV, PIL, and scikit-image. 4. Knowledge of 3D point cloud processing, essential for LiDAR and object reconstruction tasks. Deep Learning and Machine Learning 5. Hands-on experience with deep learning frameworks such as PyTorch, TensorFlow, and Keras. 6. Expertise in vision-based architectures like LeNet, ResNet, YOLO, UNet, EfficientNet, and SAM. 7. Familiarity with optimisation techniques, including model quantisation, pruning, and deploying real-time inference on edge devices. Data Acquisition and Image Handling 8. Knowledge of various imaging modalities (RGB, thermal, histology, and microscopic) acquired from domains like manufacturing, medical imaging, finance, and robotics. 9. Familiarity with specialised medical imaging libraries (e.g., MONAI, ITK/Simple ITK) is preferred. Toolsets and Domain-Specific Knowledge 10. Experience with image annotation tools and image registration methods. Familiarity with tools for edge deployments (e.g., NVIDIA Jetson). Essential Behavioural Skills: 1. Strong communication, leadership, and critical thinking abilities, coupled with effective decision-making skills. 2. Exceptional interpersonal skills, with a talent for building professional networks and collaborating within globally distributed teams. 3. A commitment to continuous learning, shared knowledge, and the adoption of industry best practices. 4. Excellent self-management and adaptability to thrive in ambiguous situations. Lilly is dedicated to helping individuals with disabilities to actively engage in the workforce, ensuring equal opportunities when vying for positions. If you require accommodation to submit a resume for a position at Lilly, please complete the accommodation request form (https://careers.lilly.com/us/en/workplace-accommodation) for further assistance. Please note this is for individuals to request an accommodation as part of the application process and any other correspondence will not receive a response. Lilly does not discriminate on the basis of age, race, color, religion, gender, sexual orientation, gender identity, gender expression, national origin, protected veteran status, disability or any other legally protected status. #WeAreLilly

Master's degree in Computer Science, Statistics, Mathematics, or a related field. 7+ years of experience in data science and machine learning with a strong focus on model development and deployment. Expert-level knowledge of statistics, including probability theory, hypothesis testing, and statistical inference. In-depth knowledge of machine learning algorithms, including linear regression, logistic regression, decision trees, random forests, xgboost, and ensemble learning. Strong programming skills in Python and proficiency in data science libraries like pandas, scikit-learn, numpy, Pytorch/Keras, and TensorFlow. Experience with cloud computing platforms, particularly Google Cloud Platform (GCP). Excellent data visualization skills using tools like matplotlib, seaborn, or Tableau. Strong communication and presentation skills, both written and verbal. Evaluate the performance of machine learning models and refine them to improve accuracy andgeneralizability. Communicate data insights to stakeholders in a clear and concise manner, using data visualization techniques and storytelling. collaborate with data engineers, software developers, and business stakeholders to integrate data science solutions into products and services. Stay up-to-date with the latest trends and developments in data science, machine learning, and artificial intelligence. GExperience with Natural Language Processing (NLP) and Computer Vision (CV) techniques. Knowledge of DevOps methodologies and practices for continuous integration/continuous delivery (CI/CD). Experience with data warehousing and data lakes solutions like BigQuery or Snowflake. Familiarity with real-time data processing and streaming analytics. Passion for learning and staying at the forefront of data science and machine learning advancements. Show more Show less

About Firstsource Firstsource Solutions Limited, an RP-Sanjiv Goenka Group company (NSE: FSL, BSE: 532809, Reuters: FISO.BO, Bloomberg: FSOL:IN), is a specialized global business process services partner, providing transformational solutions and services spanning the customer lifecycle across Healthcare, Banking and Financial Services, Communications, Media and Technology, Retail, and other diverse industries. With an established presence in the US, the UK, India, Mexico, Australia, South Africa, and the Philippines, we make it happen for our clients, solving their biggest challenges with hyper-focused, domain-cantered teams and cutting-edge tech, data, and analytics. Our real-world practitioners work collaboratively to deliver future-focused outcomes. Job Title: Senior Manager- Business Transformation Function/Department: Business Transformation Responsibilities : We are looking for a Business transformation Manager to join our team. The ideal candidate will be responsible for ensuring that processes within the organization run smoothly and efficiently. They will work with a team of individuals from across the company to develop new ways of working, implement improvements , drive digital interventions, and ensure that everything is running smoothly. This role aligns with our Digital first mindset. Working with management to determine strategy for new initiatives or projects. Reviewing current processes and recommending changes based on industry best practices. Perform gap identification exercise in process mapping using AS-IS and TO-BE process maps Assessing and prioritizing improvement opportunities and impacts (risk, customer satisfaction, error reduction, system capabilities / constraints) Ability to perform data analysis and identify the key inference for driving the impacted metrices Map customer journeys and identify issues/ opportunities for process re-engineering and digital enhancement Engage with stakeholders to understand their requirements, conduct RCA to identify opportunities, deploy solutions and provide regular updates on progress. Ability to identify the digital intervention for improving the efficiency and effectiveness of processes Developing an implementation plan for each project, including identifying stakeholders, creating timelines, and developing budgets. Implementing projects to improve processes within the organization, such as Lean Six Sigma initiatives or process mapping exercises. Managing the execution of transformation initiatives, including tracking progress and ensuring that milestones are met. Communicating with stakeholders about transformation initiatives and their impact on the business. Monitor & audit the deployed processes for effectiveness & efficiency Responsible for generating business impact for the clients using the CI methodologies and frameworks Responsible for identifying the Gen AI opportunities -Capabilities, applicability and business case Understanding of scenario to implement the AI, ML tools. Qualifications & Experience requirements : Bachelor’s degree in a related field, such as business administration, management or engineering. Experience in business transformation and change management in previous organisation is desired. Good/Strong understanding of Generative AI, predictive ML, and data analytics. Excellent communication and interpersonal skills. Ability to work independently and as part of a team in Hybrid setup Key Performance Indicators- Value delivered through projects in different client businesses across Operations, Digital and Technology. Automation identification and deployment with support from Digital and technology teams. Project Management and Process Improvement Facilitating change including facilitated Idea generation and idea management. Working collaboratively with Digital, Tech, Cx and automation teams to deliver the key objectives ⚠️ Disclaimer: Firstsource follows a fair, transparent, and merit-based hiring process. We never ask for money at any stage. Beware of fraudulent offers and always verify through our official channels or @firstsource.com email addresses. Show more Show less

Experience : 5.00 + years Salary : INR 5000000.00 / year (based on experience) Expected Notice Period : 15 Days Shift : (GMT+05:30) Asia/Kolkata (IST) Opportunity Type : Remote Placement Type : Full Time Permanent position(Payroll and Compliance to be managed by: Precanto) (*Note: This is a requirement for one of Uplers' client - A fast-growing, VC-backed B2B SaaS platform revolutionizing financial planning and analysis for modern finance teams.) What do you need for this opportunity? Must have skills required: async workflows, MLOps, Ray Tune, Data Engineering, MLFlow, Supervised Learning, Time-Series Forecasting, Docker, Machine Learning, NLP, Python, SQL A fast-growing, VC-backed B2B SaaS platform revolutionizing financial planning and analysis for modern finance teams. is Looking for: We are a fast-moving startup building AI-driven solutions to the financial planning workflow. We’re looking for a versatile Machine Learning Engineer to join our team and take ownership of building, deploying, and scaling intelligent systems that power our core product. Job Description- Full-time Team: Data & ML Engineering We’re looking for 5+ years of experience as a Machine Learning or Data Engineer (startup experience is a plus) What You Will Do- Build and optimize machine learning models — from regression to time-series forecasting Work with data pipelines and orchestrate training/inference jobs using Ray, Airflow, and Docker Train, tune, and evaluate models using tools like Ray Tune, MLflow, and scikit-learn Design and deploy LLM-powered features and workflows Collaborate closely with product managers to turn ideas into experiments and production-ready solutions Partner with Software and DevOps engineers to build robust ML pipelines and integrate them with the broader platform Basic Skills Proven ability to work creatively and analytically in a problem-solving environment Excellent communication (written and oral) and interpersonal skills Strong understanding of supervised learning and time-series modeling Experience deploying ML models and building automated training/inference pipelines Ability to work cross-functionally in a collaborative and fast-paced environment Comfortable wearing many hats and owning projects end-to-end Write clean, tested, and scalable Python and SQL code Leverage async workflows and cloud-native infrastructure (S3, Docker, etc.) for high-throughput data processing. Advanced Skills Familiarity with MLOps best practices Prior experience with LLM-based features or production-level NLP Experience with LLMs, vector stores, or prompt engineering Contributions to open-source ML or data tools TECH STACK Languages: Python, SQL Frameworks & Tools: scikit-learn, Prophet, pyts, MLflow, Ray, Ray Tune, Jupyter Infra: Docker, Airflow, S3, asyncio, Pydantic How to apply for this opportunity? Step 1: Click On Apply! And Register or Login on our portal. Step 2: Complete the Screening Form & Upload updated Resume Step 3: Increase your chances to get shortlisted & meet the client for the Interview! About Uplers: Our goal is to make hiring reliable, simple, and fast. Our role will be to help all our talents find and apply for relevant contractual onsite opportunities and progress in their career. We will support any grievances or challenges you may face during the engagement. (Note: There are many more opportunities apart from this on the portal. Depending on the assessments you clear, you can apply for them as well). So, if you are ready for a new challenge, a great work environment, and an opportunity to take your career to the next level, don't hesitate to apply today. We are waiting for you! Show more Show less

Develop and fine-tune Generative AI models using Azure OpenAI (GPT-4o, GPT-4o-mini, Embedding Models, etc.), NLP, and Large Language Models (LLMs). Implement and optimize AI solutions for text generation, document summarization, and predictive analytics. Leverage Prompt Engineering techniques to refine AI-generated responses for domain-specific applications. Enhance search capabilities using Azure AI Search(previously Cognitive Search) for intelligent data retrieval. Utilize Azure Document Intelligence(previously Form Recognizer) to automate document processing and structured data extraction. Optimize model performance through hyperparameter tuning, transfer learning, and fine-tuning techniques. Manage and process large-scale datasets using Azure Storage Containers for AI-driven applications. Leverage Redis Cache to enhance AI model response time and optimize application performance. Utilize Python for data preprocessing, feature engineering, and AI model development. Develop AI-driven applications with Python and cloud-based APIs. Deploy AI models and applications using Azure DevOps (CI/CD) pipelines for automated workflows. Integrate AI solutions with cloud-based infrastructures leveraging Azure services like Azure function apps and Azure OpenAI APIs. Ensure AI scalability and performance using containerized environments and cloud-native solutions. Hands-on experience with Azure AI services (OpenAI, AI Search, Document Intelligence). Knowledge of LLMs, Prompt Engineering, and Responsible AI practices. Familiarity with Redis Cache for optimizing AI inference times. Experience with MLOps and CI/CD best practices using Azure DevOps. Familiarity with all aspects of RAG framework from chunking strategies, embedding model selection, relevant system prompt tuning for RAG response, etc. Theoretical understanding of language models and the transformer architecture. Also familiarity with popular frameworks like Chain of Thought, ReAct framework for Agents Show more Show less

What You’ll Do Design, develop and deploy agent-based AI systems using LLMs Build and scale Retrieval-Augmented Generation pipelines for real-time and offline inference. Develop and optimize training workflows for fine-tuning and adapting models to domain-specific tasks. Collaborate with cross-functional teams to integrate knowledge base into agent frameworks. Drive best practices in AI Engineering, model lifecycle management, and production deployment on Google Cloud (GCP) Implement version control strategies using Git, manage code repositories and ensure best practices in code management. Develop, manage CI/CD pipelines using Jenkins or other relevant tools to streamline deployment and updates. Monitor, evaluate, and improve model performance post- deployment on Google Cloud. Communicate technical findings and insights to non-technical stakeholders. Participate in technical discussions and contribute to strategic planning. What Experience You Need Master's / Bachelors in Computer Science, Artificial Intelligence, Machine Learning, or related field. 5+ years of experience in AI/ML engineering, with a strong focus on LLM-based applications. At least 10+ years of experience in IT overall. Proven experience in building agent-based applications using Gemini, OpenAI or similar models. Deep understanding of RAG systems, vector databases, and knowledge retrieval strategies. Hands-on experience with LangChain and LangGraph frameworks. Solid background in model training, fine-tuning, evaluation and deployment. Strong coding skills in Python and experience with modern MLOps practices. What Could Set You Apart Familiarity with frontend integration of AI agents (Eg. using Angular, Mesop or similar frameworks). Experience with Google Cloud services like BigQuery, Vertex AI, Agent Builder. Exposure to Angular framework Show more Show less

Job Description Must Have Skills: Experience in design, build, and deployment of end-to-end AI solutions with a focus on LLMs and RAG (Retrieval-Augmented Generation) workflows. Extensive knowledge of large language models, natural language processing techniques and prompt engineering. Experience with Oracle Fusion Cloud Applications (ERP and HCM) and their AI capabilities. Proficiency in developing AI chatbots using ODA (Oracle digital Assistance), Fusion APIs, OIC (Oracle integration cloud) and genAI services. Experience in testing and validation processes to ensure the models' accuracy and efficiency in real-world scenarios. Familiarity with Oracle Cloud Infrastructure or similar cloud platforms. Excellent communication and collaboration skills with the ability to articulate complex technical concepts to both technical and non-technical stakeholders. Analyzes problems, identifies solutions, and makes decisions. Demonstrates a willingness to learn, adapt, and grow professionally. Good to Have Skills: Experience in LLM architectures, model evaluation, and fine-tuning techniques. Hands-on experience with emerging LLM frameworks and plugins, such as LangChain, LlamaIndex, VectorStores and Retrievers, LLM Cache, LLMOps (MLFlow), LMQL, Guidance, etc. Proficiency in programming languages (e.g., Java, Python) and databases (e.g., Oracle, MySQL), developing and executing AI over any of the cloud data platforms, associated data stores, Graph Stores, Vector Stores and pipelines. Knowledge of GPU cluster architecture and the ability to leverage parallel processing for accelerated model training and inference. Understanding of the security and compliance requirements for ML/GenAI implementations. Career Level - IC3 Responsibilities Be a leader, a ‘doer’, with a vision & desire to contribute to a business with a technical project focus and mentality that centers around a superior customer experience. Bring entrepreneurial & innovative flair, with the tenacity to develop and prove delivery ideas independently, then share these as examples to improve the efficiency of the delivery of these solutions across EMEA. Working effectively across internal, external and culturally diverse lines of business to define and deliver customer success. Proactive approach to the task and self-learner. Self-motivated, you have the natural drive to learn and pick up new challenges. Results orientation, you won’t be satisfied until the job is done with the right quality! Ability to work in (virtual) teams. To get a specific job done often requires working together with many colleagues spread out in different countries. Comfortable in a collaborative, agile environment. Ability to adapt to change with a positive mindset. Good communication skills, both oral and written! You are able to not only understand complex technologies but also to explain to others in clear and simple terms. You can articulate key messages very clearly. Being able to present in front of customers. https://www.oracle.com/in/cloud/cloud-lift/ About Us As a world leader in cloud solutions, Oracle uses tomorrow’s technology to tackle today’s challenges. We’ve partnered with industry-leaders in almost every sector—and continue to thrive after 40+ years of change by operating with integrity. We know that true innovation starts when everyone is empowered to contribute. That’s why we’re committed to growing an inclusive workforce that promotes opportunities for all. Oracle careers open the door to global opportunities where work-life balance flourishes. We offer competitive benefits based on parity and consistency and support our people with flexible medical, life insurance, and retirement options. We also encourage employees to give back to their communities through our volunteer programs. We’re committed to including people with disabilities at all stages of the employment process. If you require accessibility assistance or accommodation for a disability at any point, let us know by emailing accommodation-request_mb@oracle.com or by calling +1 888 404 2494 in the United States. Oracle is an Equal Employment Opportunity Employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, national origin, sexual orientation, gender identity, disability and protected veterans’ status, or any other characteristic protected by law. Oracle will consider for employment qualified applicants with arrest and conviction records pursuant to applicable law. Show more Show less

Experience : 3.00 + years Salary : USD 30000-48000 / year (based on experience) Expected Notice Period : 15 Days Shift : (GMT+05:30) Asia/Kolkata (IST) Opportunity Type : Remote Placement Type : Full Time Permanent position(Payroll and Compliance to be managed by: EOR Partner) (*Note: This is a requirement for one of Uplers' client - InsightNext) What do you need for this opportunity? Must have skills required: Algorithm, industry-specific AI, rapid prototyping, start-up, statistical modelling, AI systems, AI/ML, CI/CD, LLM, Ml frameworks, Cloud Server (Google / AWS), Python InsightNext is Looking for: Role Description This is a full-time remote role for a Senior AI/ML Engineer . The Senior AI/ML Engineer will spearhead the design, development, and deployment of advanced machine learning models, including Large Language Models (LLMs), Agentic AI Frameworks, and multimodal AI systems , tailored to diverse client needs across industries such as finance, healthcare, retail, and technology Responsibilities include client consultations, data preprocessing, model customization, performance optimization, and seamless integration of AI solutions into client ecosystems . The role requires staying ahead of AI/ML innovations, delivering high-impact consulting engagements, and producing comprehensive technical documentation to ensure client success. Key Responsibilities Collaborate with clients to assess business challenges and design bespoke AI solutions leveraging LLMs, agentic workflows, and multimodal models for applications like intelligent automation, predictive analytics, and natural language processing. Develop and fine-tune scalable AI/ML pipelines, utilizing distributed training, model compression, and low-latency inference to meet client-specific performance requirements. Perform advanced data preprocessing, handling diverse datasets (e.g., unstructured, multimodal, or streaming data) to ensure model robustness. Evaluate and benchmark model performance using metrics like BLEU, ROUGE, perplexity, or client-defined KPIs, ensuring alignment with business objectives. Stay at the forefront of AI/ML advancements (e.g., transformer architectures, neurosymbolic AI, retrieval augmented generation) to deliver cutting-edge solutions. Deploy AI models into client environments (e.g., cloud platforms, edge devices, or hybrid systems) using APIs and MLOps best practices. Provide thought leadership through client workshops, whitepapers, and presentations, showcasing expertise in AI trends and innovations. Mentor junior engineers and contribute to internal knowledge-sharing initiatives to elevate the firm’s AI consulting capabilities Qualifications- Technical Skills: Expertise in AI systems, ML frameworks, and Python Experience with cloud platforms (e.g. GCP, Azure and Azure) and development tools Strong programming skills in Python and modern software development practices such as CI/CD version controlling with Git Consulting Abilities: Client communication and solution presentation Strong project management track record Ability to thrive in fast-paced, remote, and cross-functional teams using agile methodologies Core Knowledge: Advanced knowledge of computer science, algorithms, and statistical modeling for probabilistic reasoning and uncertainty quantification People Skills: Excellent communication and teamwork abilities Education & Experience: Bachelors/Master's/Ph.D. in relevant field 3+ years AI/ML experience (2+ with clients) Proven industry solutions delivery Preferred Qualification: Industry-specific AI experience Rapid prototyping capabilities How to apply for this opportunity? Step 1: Click On Apply! And Register or Login on our portal. Step 2: Complete the Screening Form & Upload updated Resume Step 3: Increase your chances to get shortlisted & meet the client for the Interview! About Uplers: Our goal is to make hiring reliable, simple, and fast. Our role will be to help all our talents find and apply for relevant contractual onsite opportunities and progress in their career. We will support any grievances or challenges you may face during the engagement. (Note: There are many more opportunities apart from this on the portal. Depending on the assessments you clear, you can apply for them as well). So, if you are ready for a new challenge, a great work environment, and an opportunity to take your career to the next level, don't hesitate to apply today. We are waiting for you! Show more Show less

Experience : 3.00 + years Salary : USD 30000-48000 / year (based on experience) Expected Notice Period : 15 Days Shift : (GMT+05:30) Asia/Kolkata (IST) Opportunity Type : Remote Placement Type : Full Time Permanent position(Payroll and Compliance to be managed by: EOR Partner) (*Note: This is a requirement for one of Uplers' client - InsightNext) What do you need for this opportunity? Must have skills required: Algorithm, industry-specific AI, rapid prototyping, start-up, statistical modelling, AI systems, AI/ML, CI/CD, LLM, Ml frameworks, Cloud Server (Google / AWS), Python InsightNext is Looking for: Role Description This is a full-time remote role for a Senior AI/ML Engineer . The Senior AI/ML Engineer will spearhead the design, development, and deployment of advanced machine learning models, including Large Language Models (LLMs), Agentic AI Frameworks, and multimodal AI systems , tailored to diverse client needs across industries such as finance, healthcare, retail, and technology Responsibilities include client consultations, data preprocessing, model customization, performance optimization, and seamless integration of AI solutions into client ecosystems . The role requires staying ahead of AI/ML innovations, delivering high-impact consulting engagements, and producing comprehensive technical documentation to ensure client success. Key Responsibilities Collaborate with clients to assess business challenges and design bespoke AI solutions leveraging LLMs, agentic workflows, and multimodal models for applications like intelligent automation, predictive analytics, and natural language processing. Develop and fine-tune scalable AI/ML pipelines, utilizing distributed training, model compression, and low-latency inference to meet client-specific performance requirements. Perform advanced data preprocessing, handling diverse datasets (e.g., unstructured, multimodal, or streaming data) to ensure model robustness. Evaluate and benchmark model performance using metrics like BLEU, ROUGE, perplexity, or client-defined KPIs, ensuring alignment with business objectives. Stay at the forefront of AI/ML advancements (e.g., transformer architectures, neurosymbolic AI, retrieval augmented generation) to deliver cutting-edge solutions. Deploy AI models into client environments (e.g., cloud platforms, edge devices, or hybrid systems) using APIs and MLOps best practices. Provide thought leadership through client workshops, whitepapers, and presentations, showcasing expertise in AI trends and innovations. Mentor junior engineers and contribute to internal knowledge-sharing initiatives to elevate the firm’s AI consulting capabilities Qualifications- Technical Skills: Expertise in AI systems, ML frameworks, and Python Experience with cloud platforms (e.g. GCP, Azure and Azure) and development tools Strong programming skills in Python and modern software development practices such as CI/CD version controlling with Git Consulting Abilities: Client communication and solution presentation Strong project management track record Ability to thrive in fast-paced, remote, and cross-functional teams using agile methodologies Core Knowledge: Advanced knowledge of computer science, algorithms, and statistical modeling for probabilistic reasoning and uncertainty quantification People Skills: Excellent communication and teamwork abilities Education & Experience: Bachelors/Master's/Ph.D. in relevant field 3+ years AI/ML experience (2+ with clients) Proven industry solutions delivery Preferred Qualification: Industry-specific AI experience Rapid prototyping capabilities How to apply for this opportunity? Step 1: Click On Apply! And Register or Login on our portal. Step 2: Complete the Screening Form & Upload updated Resume Step 3: Increase your chances to get shortlisted & meet the client for the Interview! About Uplers: Our goal is to make hiring reliable, simple, and fast. Our role will be to help all our talents find and apply for relevant contractual onsite opportunities and progress in their career. We will support any grievances or challenges you may face during the engagement. (Note: There are many more opportunities apart from this on the portal. Depending on the assessments you clear, you can apply for them as well). So, if you are ready for a new challenge, a great work environment, and an opportunity to take your career to the next level, don't hesitate to apply today. We are waiting for you! Show more Show less

Experience : 3.00 + years Salary : USD 30000-48000 / year (based on experience) Expected Notice Period : 15 Days Shift : (GMT+05:30) Asia/Kolkata (IST) Opportunity Type : Remote Placement Type : Full Time Permanent position(Payroll and Compliance to be managed by: EOR Partner) (*Note: This is a requirement for one of Uplers' client - InsightNext) What do you need for this opportunity? Must have skills required: Algorithm, industry-specific AI, rapid prototyping, start-up, statistical modelling, AI systems, AI/ML, CI/CD, LLM, Ml frameworks, Cloud Server (Google / AWS), Python InsightNext is Looking for: Role Description This is a full-time remote role for a Senior AI/ML Engineer . The Senior AI/ML Engineer will spearhead the design, development, and deployment of advanced machine learning models, including Large Language Models (LLMs), Agentic AI Frameworks, and multimodal AI systems , tailored to diverse client needs across industries such as finance, healthcare, retail, and technology Responsibilities include client consultations, data preprocessing, model customization, performance optimization, and seamless integration of AI solutions into client ecosystems . The role requires staying ahead of AI/ML innovations, delivering high-impact consulting engagements, and producing comprehensive technical documentation to ensure client success. Key Responsibilities Collaborate with clients to assess business challenges and design bespoke AI solutions leveraging LLMs, agentic workflows, and multimodal models for applications like intelligent automation, predictive analytics, and natural language processing. Develop and fine-tune scalable AI/ML pipelines, utilizing distributed training, model compression, and low-latency inference to meet client-specific performance requirements. Perform advanced data preprocessing, handling diverse datasets (e.g., unstructured, multimodal, or streaming data) to ensure model robustness. Evaluate and benchmark model performance using metrics like BLEU, ROUGE, perplexity, or client-defined KPIs, ensuring alignment with business objectives. Stay at the forefront of AI/ML advancements (e.g., transformer architectures, neurosymbolic AI, retrieval augmented generation) to deliver cutting-edge solutions. Deploy AI models into client environments (e.g., cloud platforms, edge devices, or hybrid systems) using APIs and MLOps best practices. Provide thought leadership through client workshops, whitepapers, and presentations, showcasing expertise in AI trends and innovations. Mentor junior engineers and contribute to internal knowledge-sharing initiatives to elevate the firm’s AI consulting capabilities Qualifications- Technical Skills: Expertise in AI systems, ML frameworks, and Python Experience with cloud platforms (e.g. GCP, Azure and Azure) and development tools Strong programming skills in Python and modern software development practices such as CI/CD version controlling with Git Consulting Abilities: Client communication and solution presentation Strong project management track record Ability to thrive in fast-paced, remote, and cross-functional teams using agile methodologies Core Knowledge: Advanced knowledge of computer science, algorithms, and statistical modeling for probabilistic reasoning and uncertainty quantification People Skills: Excellent communication and teamwork abilities Education & Experience: Bachelors/Master's/Ph.D. in relevant field 3+ years AI/ML experience (2+ with clients) Proven industry solutions delivery Preferred Qualification: Industry-specific AI experience Rapid prototyping capabilities How to apply for this opportunity? Step 1: Click On Apply! And Register or Login on our portal. Step 2: Complete the Screening Form & Upload updated Resume Step 3: Increase your chances to get shortlisted & meet the client for the Interview! About Uplers: Our goal is to make hiring reliable, simple, and fast. Our role will be to help all our talents find and apply for relevant contractual onsite opportunities and progress in their career. We will support any grievances or challenges you may face during the engagement. (Note: There are many more opportunities apart from this on the portal. Depending on the assessments you clear, you can apply for them as well). So, if you are ready for a new challenge, a great work environment, and an opportunity to take your career to the next level, don't hesitate to apply today. We are waiting for you! Show more Show less

Experience : 3.00 + years Salary : USD 30000-48000 / year (based on experience) Expected Notice Period : 15 Days Shift : (GMT+05:30) Asia/Kolkata (IST) Opportunity Type : Remote Placement Type : Full Time Permanent position(Payroll and Compliance to be managed by: EOR Partner) (*Note: This is a requirement for one of Uplers' client - InsightNext) What do you need for this opportunity? Must have skills required: Algorithm, industry-specific AI, rapid prototyping, start-up, statistical modelling, AI systems, AI/ML, CI/CD, LLM, Ml frameworks, Cloud Server (Google / AWS), Python InsightNext is Looking for: Role Description This is a full-time remote role for a Senior AI/ML Engineer . The Senior AI/ML Engineer will spearhead the design, development, and deployment of advanced machine learning models, including Large Language Models (LLMs), Agentic AI Frameworks, and multimodal AI systems , tailored to diverse client needs across industries such as finance, healthcare, retail, and technology Responsibilities include client consultations, data preprocessing, model customization, performance optimization, and seamless integration of AI solutions into client ecosystems . The role requires staying ahead of AI/ML innovations, delivering high-impact consulting engagements, and producing comprehensive technical documentation to ensure client success. Key Responsibilities Collaborate with clients to assess business challenges and design bespoke AI solutions leveraging LLMs, agentic workflows, and multimodal models for applications like intelligent automation, predictive analytics, and natural language processing. Develop and fine-tune scalable AI/ML pipelines, utilizing distributed training, model compression, and low-latency inference to meet client-specific performance requirements. Perform advanced data preprocessing, handling diverse datasets (e.g., unstructured, multimodal, or streaming data) to ensure model robustness. Evaluate and benchmark model performance using metrics like BLEU, ROUGE, perplexity, or client-defined KPIs, ensuring alignment with business objectives. Stay at the forefront of AI/ML advancements (e.g., transformer architectures, neurosymbolic AI, retrieval augmented generation) to deliver cutting-edge solutions. Deploy AI models into client environments (e.g., cloud platforms, edge devices, or hybrid systems) using APIs and MLOps best practices. Provide thought leadership through client workshops, whitepapers, and presentations, showcasing expertise in AI trends and innovations. Mentor junior engineers and contribute to internal knowledge-sharing initiatives to elevate the firm’s AI consulting capabilities Qualifications- Technical Skills: Expertise in AI systems, ML frameworks, and Python Experience with cloud platforms (e.g. GCP, Azure and Azure) and development tools Strong programming skills in Python and modern software development practices such as CI/CD version controlling with Git Consulting Abilities: Client communication and solution presentation Strong project management track record Ability to thrive in fast-paced, remote, and cross-functional teams using agile methodologies Core Knowledge: Advanced knowledge of computer science, algorithms, and statistical modeling for probabilistic reasoning and uncertainty quantification People Skills: Excellent communication and teamwork abilities Education & Experience: Bachelors/Master's/Ph.D. in relevant field 3+ years AI/ML experience (2+ with clients) Proven industry solutions delivery Preferred Qualification: Industry-specific AI experience Rapid prototyping capabilities How to apply for this opportunity? Step 1: Click On Apply! And Register or Login on our portal. Step 2: Complete the Screening Form & Upload updated Resume Step 3: Increase your chances to get shortlisted & meet the client for the Interview! About Uplers: Our goal is to make hiring reliable, simple, and fast. Our role will be to help all our talents find and apply for relevant contractual onsite opportunities and progress in their career. We will support any grievances or challenges you may face during the engagement. (Note: There are many more opportunities apart from this on the portal. Depending on the assessments you clear, you can apply for them as well). So, if you are ready for a new challenge, a great work environment, and an opportunity to take your career to the next level, don't hesitate to apply today. We are waiting for you! Show more Show less

Experience : 3.00 + years Salary : USD 30000-48000 / year (based on experience) Expected Notice Period : 15 Days Shift : (GMT+05:30) Asia/Kolkata (IST) Opportunity Type : Remote Placement Type : Full Time Permanent position(Payroll and Compliance to be managed by: EOR Partner) (*Note: This is a requirement for one of Uplers' client - InsightNext) What do you need for this opportunity? Must have skills required: Algorithm, industry-specific AI, rapid prototyping, start-up, statistical modelling, AI systems, AI/ML, CI/CD, LLM, Ml frameworks, Cloud Server (Google / AWS), Python InsightNext is Looking for: Role Description This is a full-time remote role for a Senior AI/ML Engineer . The Senior AI/ML Engineer will spearhead the design, development, and deployment of advanced machine learning models, including Large Language Models (LLMs), Agentic AI Frameworks, and multimodal AI systems , tailored to diverse client needs across industries such as finance, healthcare, retail, and technology Responsibilities include client consultations, data preprocessing, model customization, performance optimization, and seamless integration of AI solutions into client ecosystems . The role requires staying ahead of AI/ML innovations, delivering high-impact consulting engagements, and producing comprehensive technical documentation to ensure client success. Key Responsibilities Collaborate with clients to assess business challenges and design bespoke AI solutions leveraging LLMs, agentic workflows, and multimodal models for applications like intelligent automation, predictive analytics, and natural language processing. Develop and fine-tune scalable AI/ML pipelines, utilizing distributed training, model compression, and low-latency inference to meet client-specific performance requirements. Perform advanced data preprocessing, handling diverse datasets (e.g., unstructured, multimodal, or streaming data) to ensure model robustness. Evaluate and benchmark model performance using metrics like BLEU, ROUGE, perplexity, or client-defined KPIs, ensuring alignment with business objectives. Stay at the forefront of AI/ML advancements (e.g., transformer architectures, neurosymbolic AI, retrieval augmented generation) to deliver cutting-edge solutions. Deploy AI models into client environments (e.g., cloud platforms, edge devices, or hybrid systems) using APIs and MLOps best practices. Provide thought leadership through client workshops, whitepapers, and presentations, showcasing expertise in AI trends and innovations. Mentor junior engineers and contribute to internal knowledge-sharing initiatives to elevate the firm’s AI consulting capabilities Qualifications- Technical Skills: Expertise in AI systems, ML frameworks, and Python Experience with cloud platforms (e.g. GCP, Azure and Azure) and development tools Strong programming skills in Python and modern software development practices such as CI/CD version controlling with Git Consulting Abilities: Client communication and solution presentation Strong project management track record Ability to thrive in fast-paced, remote, and cross-functional teams using agile methodologies Core Knowledge: Advanced knowledge of computer science, algorithms, and statistical modeling for probabilistic reasoning and uncertainty quantification People Skills: Excellent communication and teamwork abilities Education & Experience: Bachelors/Master's/Ph.D. in relevant field 3+ years AI/ML experience (2+ with clients) Proven industry solutions delivery Preferred Qualification: Industry-specific AI experience Rapid prototyping capabilities How to apply for this opportunity? Step 1: Click On Apply! And Register or Login on our portal. Step 2: Complete the Screening Form & Upload updated Resume Step 3: Increase your chances to get shortlisted & meet the client for the Interview! About Uplers: Our goal is to make hiring reliable, simple, and fast. Our role will be to help all our talents find and apply for relevant contractual onsite opportunities and progress in their career. We will support any grievances or challenges you may face during the engagement. (Note: There are many more opportunities apart from this on the portal. Depending on the assessments you clear, you can apply for them as well). So, if you are ready for a new challenge, a great work environment, and an opportunity to take your career to the next level, don't hesitate to apply today. We are waiting for you! Show more Show less

Experience : 3.00 + years Salary : USD 30000-48000 / year (based on experience) Expected Notice Period : 15 Days Shift : (GMT+05:30) Asia/Kolkata (IST) Opportunity Type : Remote Placement Type : Full Time Permanent position(Payroll and Compliance to be managed by: EOR Partner) (*Note: This is a requirement for one of Uplers' client - InsightNext) What do you need for this opportunity? Must have skills required: Algorithm, industry-specific AI, rapid prototyping, start-up, statistical modelling, AI systems, AI/ML, CI/CD, LLM, Ml frameworks, Cloud Server (Google / AWS), Python InsightNext is Looking for: Role Description This is a full-time remote role for a Senior AI/ML Engineer . The Senior AI/ML Engineer will spearhead the design, development, and deployment of advanced machine learning models, including Large Language Models (LLMs), Agentic AI Frameworks, and multimodal AI systems , tailored to diverse client needs across industries such as finance, healthcare, retail, and technology Responsibilities include client consultations, data preprocessing, model customization, performance optimization, and seamless integration of AI solutions into client ecosystems . The role requires staying ahead of AI/ML innovations, delivering high-impact consulting engagements, and producing comprehensive technical documentation to ensure client success. Key Responsibilities Collaborate with clients to assess business challenges and design bespoke AI solutions leveraging LLMs, agentic workflows, and multimodal models for applications like intelligent automation, predictive analytics, and natural language processing. Develop and fine-tune scalable AI/ML pipelines, utilizing distributed training, model compression, and low-latency inference to meet client-specific performance requirements. Perform advanced data preprocessing, handling diverse datasets (e.g., unstructured, multimodal, or streaming data) to ensure model robustness. Evaluate and benchmark model performance using metrics like BLEU, ROUGE, perplexity, or client-defined KPIs, ensuring alignment with business objectives. Stay at the forefront of AI/ML advancements (e.g., transformer architectures, neurosymbolic AI, retrieval augmented generation) to deliver cutting-edge solutions. Deploy AI models into client environments (e.g., cloud platforms, edge devices, or hybrid systems) using APIs and MLOps best practices. Provide thought leadership through client workshops, whitepapers, and presentations, showcasing expertise in AI trends and innovations. Mentor junior engineers and contribute to internal knowledge-sharing initiatives to elevate the firm’s AI consulting capabilities Qualifications- Technical Skills: Expertise in AI systems, ML frameworks, and Python Experience with cloud platforms (e.g. GCP, Azure and Azure) and development tools Strong programming skills in Python and modern software development practices such as CI/CD version controlling with Git Consulting Abilities: Client communication and solution presentation Strong project management track record Ability to thrive in fast-paced, remote, and cross-functional teams using agile methodologies Core Knowledge: Advanced knowledge of computer science, algorithms, and statistical modeling for probabilistic reasoning and uncertainty quantification People Skills: Excellent communication and teamwork abilities Education & Experience: Bachelors/Master's/Ph.D. in relevant field 3+ years AI/ML experience (2+ with clients) Proven industry solutions delivery Preferred Qualification: Industry-specific AI experience Rapid prototyping capabilities How to apply for this opportunity? Step 1: Click On Apply! And Register or Login on our portal. Step 2: Complete the Screening Form & Upload updated Resume Step 3: Increase your chances to get shortlisted & meet the client for the Interview! About Uplers: Our goal is to make hiring reliable, simple, and fast. Our role will be to help all our talents find and apply for relevant contractual onsite opportunities and progress in their career. We will support any grievances or challenges you may face during the engagement. (Note: There are many more opportunities apart from this on the portal. Depending on the assessments you clear, you can apply for them as well). So, if you are ready for a new challenge, a great work environment, and an opportunity to take your career to the next level, don't hesitate to apply today. We are waiting for you! Show more Show less

Experience : 3.00 + years Salary : USD 30000-48000 / year (based on experience) Expected Notice Period : 15 Days Shift : (GMT+05:30) Asia/Kolkata (IST) Opportunity Type : Remote Placement Type : Full Time Permanent position(Payroll and Compliance to be managed by: EOR Partner) (*Note: This is a requirement for one of Uplers' client - InsightNext) What do you need for this opportunity? Must have skills required: Algorithm, industry-specific AI, rapid prototyping, start-up, statistical modelling, AI systems, AI/ML, CI/CD, LLM, Ml frameworks, Cloud Server (Google / AWS), Python InsightNext is Looking for: Role Description This is a full-time remote role for a Senior AI/ML Engineer . The Senior AI/ML Engineer will spearhead the design, development, and deployment of advanced machine learning models, including Large Language Models (LLMs), Agentic AI Frameworks, and multimodal AI systems , tailored to diverse client needs across industries such as finance, healthcare, retail, and technology Responsibilities include client consultations, data preprocessing, model customization, performance optimization, and seamless integration of AI solutions into client ecosystems . The role requires staying ahead of AI/ML innovations, delivering high-impact consulting engagements, and producing comprehensive technical documentation to ensure client success. Key Responsibilities Collaborate with clients to assess business challenges and design bespoke AI solutions leveraging LLMs, agentic workflows, and multimodal models for applications like intelligent automation, predictive analytics, and natural language processing. Develop and fine-tune scalable AI/ML pipelines, utilizing distributed training, model compression, and low-latency inference to meet client-specific performance requirements. Perform advanced data preprocessing, handling diverse datasets (e.g., unstructured, multimodal, or streaming data) to ensure model robustness. Evaluate and benchmark model performance using metrics like BLEU, ROUGE, perplexity, or client-defined KPIs, ensuring alignment with business objectives. Stay at the forefront of AI/ML advancements (e.g., transformer architectures, neurosymbolic AI, retrieval augmented generation) to deliver cutting-edge solutions. Deploy AI models into client environments (e.g., cloud platforms, edge devices, or hybrid systems) using APIs and MLOps best practices. Provide thought leadership through client workshops, whitepapers, and presentations, showcasing expertise in AI trends and innovations. Mentor junior engineers and contribute to internal knowledge-sharing initiatives to elevate the firm’s AI consulting capabilities Qualifications- Technical Skills: Expertise in AI systems, ML frameworks, and Python Experience with cloud platforms (e.g. GCP, Azure and Azure) and development tools Strong programming skills in Python and modern software development practices such as CI/CD version controlling with Git Consulting Abilities: Client communication and solution presentation Strong project management track record Ability to thrive in fast-paced, remote, and cross-functional teams using agile methodologies Core Knowledge: Advanced knowledge of computer science, algorithms, and statistical modeling for probabilistic reasoning and uncertainty quantification People Skills: Excellent communication and teamwork abilities Education & Experience: Bachelors/Master's/Ph.D. in relevant field 3+ years AI/ML experience (2+ with clients) Proven industry solutions delivery Preferred Qualification: Industry-specific AI experience Rapid prototyping capabilities How to apply for this opportunity? Step 1: Click On Apply! And Register or Login on our portal. Step 2: Complete the Screening Form & Upload updated Resume Step 3: Increase your chances to get shortlisted & meet the client for the Interview! About Uplers: Our goal is to make hiring reliable, simple, and fast. Our role will be to help all our talents find and apply for relevant contractual onsite opportunities and progress in their career. We will support any grievances or challenges you may face during the engagement. (Note: There are many more opportunities apart from this on the portal. Depending on the assessments you clear, you can apply for them as well). So, if you are ready for a new challenge, a great work environment, and an opportunity to take your career to the next level, don't hesitate to apply today. We are waiting for you! Show more Show less