6659 Artificial Intelligence Jobs - Page 27

As a seasoned Artificial Intelligence and Machine Learning professional with over 6 years of experience, you will be responsible for leveraging your deep understanding of AI and machine learning algorithms, including large language models (LLMs) like Azure OpenAI and Mystral. Your proficiency in deploying LLM on On-Prem or local Server will be crucial in this role. In this position, it is mandatory for you to have a strong grasp of cloud platforms such as Azure for deploying AI solutions and utilizing existing AI capabilities of the cloud platform. Additionally, familiarity with Azure Container Registry, Azure Container Instance, and App Services will be essential. Your programming skills should include strong coding abilities in languages like Python, as well as experience in Fast API, Flask API creation, and integration of APIs from third-party tools such as SNOW and Sharepoint. Proficiency in UI development using Angular, Streamlit, HTML, CSS, and JavaScript will also be required. Expertise in TensorFlow, PyTorch, and other relevant AI/ML libraries to fine-tune models is a must-have for this role. Moreover, familiarity with monitoring tools like Solarwinds, Splunk, and NewRelic will be advantageous. As part of the Data Engineering aspect, you will need to create data flow diagrams and ensure data security at rest and in motion. Collaborating with the team to analyze business data, implement solutions, and ensure data security and compliance will also be part of your responsibilities. In terms of Solution Architecture, you should demonstrate the ability to design and implement scalable AI solutions tailored to business needs. This includes architecture, design development, and walkthroughs with customers. You will also be involved in designing hardware and software requirements to deploy AI solutions for On-Prem or Cloud environments. A good understanding of Multi-factor Authentication is essential for this role. Additionally, the ability to estimate costs for deploying AI solutions on Cloud Platforms will be beneficial. At Wipro, we are reinventing the future of technology. Join us in building a modern Wipro where constant evolution is encouraged. We are looking for individuals who are inspired by reinvention and are eager to realize their ambitions in a purpose-driven environment. If you are ready to design your own reinvention and be part of a business that values diversity and inclusivity, Wipro is the place for you. Applications from individuals with disabilities are encouraged and welcome.,

As a Business Development Executive at TechBirds, you will play a crucial role in driving revenue generation through staff augmentation and contract resourcing. Your primary responsibility will be to develop and execute strategic business development plans to meet revenue targets, with a focus on identifying and pursuing new opportunities in the IT services sector. You will leverage your existing network of clientele to build and expand our business, while nurturing strong relationships with both current and potential clients. By collaborating with internal teams, you will ensure the delivery of high-quality services and stay abreast of industry trends and competitor activities through continuous market research. Your success in this role will be measured by your ability to establish competitive advantages, prepare and present compelling proposals, contracts, and negotiate effectively with clients. Monitoring and reporting on business development activities and key performance metrics will also be key aspects of your responsibilities. To excel in this position, you should have a proven track record of revenue generation in staff augmentation and contract resourcing, preferably with experience in selling services related to Data Engineering/Management, Analytics, and Artificial Intelligence (AI). A strong understanding of the IT services market, excellent communication and presentation skills, and the ability to work independently or as part of a team are essential. Qualifications for this role include a Bachelor's degree in Business, IT, or a related field, with a minimum of 3 years of experience in IT Services sales and a demonstrated track record of sales success. Strong negotiation skills, CRM experience, and the ability to manage the full sales cycle, including deal closing, are also highly desirable. In return for your contributions, TechBirds offers a competitive salary, performance-based incentives, professional development opportunities, and a chance to work in a dynamic and innovative startup environment with flexible working hours. If you are a highly motivated and experienced professional with a passion for business development in the IT services industry, we invite you to submit your resume and a cover letter outlining your relevant experience and achievements for consideration. Join us at TechBirds and be part of our exciting journey towards growth and success.,

Job Title: AI Ops Engineer Experience: 35 years About the Role We are seeking a hands-on and proactive AI Ops Engineer to operationalize and support the deployment of large language model (LLM) workflows, including agentic AI applications, across Marvell’s enterprise ecosystem. This role requires strong prompt engineering capabilities, the ability to triage AI pipeline issues, and a deep understanding of how LLM-based agents interact with tools, memory, and APIs. You will be expected to diagnose and remediate real-time problems, from prompt quality issues to model behavior anomalies. Key Responsibilities Design, fine-tune, and manage prompts for various LLM use cases tailored to Marvell’s enterprise operations. Operate, monitor, and troubleshoot agentic AI applications , including identifying whether issues stem from: Prompt quality or structure Model configuration or performance Tool usage, API failures, or memory/recall issues Build diagnostics and playbooks to triage LLM-driven failures , including handling fallback strategies, retries, or re-routing to human workflows. Collaborate with architects, ML engineers, and DevOps to optimize agent orchestration across platforms like LangGraph, CrewAI, AutoGen, or similar. Support integration of agentic systems with enterprise apps like Jira, ServiceNow, Glean, or Confluence using REST APIs, webhooks, and adapters. Implement observability and logging best practices for model outputs, latency, and agent performance metrics. Contribute to building self-healing mechanisms and alerting strategies for production-grade AI workflows. Required Qualifications 3–6 years of experience in software engineering, DevOps, or ML Ops with exposure to AI/LLM workflows. Strong foundation in prompt engineering and experience with LLMs like GPT, Claude, LLaMA, etc. Practical understanding of AIOps platforms or operational AI use cases (incident triage, log summarization, root cause analysis, etc.). Exposure to agentic AI architectures , such as LangGraph, AutoGen, CrewAI, etc. Familiarity with scripting (Python), RESTful APIs, and basic system debugging. Strong analytical skills and the ability to trace issues across multi-step pipelines and asynchronous agents. Good-To-Have Glean DevRev Codium Cursor Atlassian AI Databricks Mosaic AI Role & responsibilities Preferred candidate profile

Role: AI Solutions Architect - R&D Vacancies: 10 Year of Passing Out: 2025, 2024, 2023 Education: Bachelors/Masters/PhD in AI & Data Science, Machine Learning, Mathematics and Statistics. Job Location: Mandaveli, Chennai Key Responsibilities: - Architect scalable transformer-based AI model infrastructures. - Lead the development of an in-house AI framework and utilize it to build robust, scalable foundation models. - Collaborate with researchers to translate advanced research into robust, scalable architectures. - Evaluate existing AI infrastructures, propose enhancements, and optimize model deployments for performance, efficiency, and scalability. - Design and implement robust AI pipelines and workflows from prototyping through experimentation phases. - Develop novel frameworks and algorithms tailored to specific research goals. - Systematic exploration of scaling laws and hyperparameter configurations to optimize model performance and efficiency. - Provide technical leadership and mentorship on AI infrastructure and architectural decisions. - Stay abreast of the latest AI technologies, research developments, and emerging frameworks. Required Skills and Qualifications: - Strong logical reasoning and analytical skills. - Solid foundation in Mathematics including calculus, probability, statistics, and linear algebra. - Proficiency or willingness to learn programming languages such as Rust and CUDA for high-performance implementations. - Excellent problem-solving, and analytical skills. - Demonstrated ability to work in a collaborative, fast-paced research-driven environment. - Bachelors/Masters/PhD in AI & Data Science, Machine Learning, Mathematics and Statistics. What We Offer: - A dynamic and innovative work environment in a cutting-edge AI research team. - Opportunities for professional growth, mentorship, and learning. - Competitive salary and benefits. - Access to the latest tools and technologies in AI. Important: Please read the guidelines clearly before applying: https://blubridge.ai/join-our-team

Position : Machine Learning Engineer - Generative AI / LLMs (Onsite - Bengaluru) Experience : 3+ years of industry experience in ML, software engineering, and data engineering. Education : Masters degree or equivalent experience in Machine Learning. Location : Bangalore (HSR Layout) Job Description: We are looking for a talented Machine Learning Engineer to join our AI team at our Bengaluru office (Onsite Only). In this role, you will work on cutting-edge solutions leveraging Generative AI, Large Language Models (LLMs), NLP, and Computer Vision to solve complex real-world problems. Responsibilities: Design, build, and deploy ML models for NLP, Computer Vision, LLMs, and Generative AI use cases. Develop and maintain robust, scalable ML pipelines for training, evaluation, and deployment. Optimize model performance using cloud-based GPU resources and best practices. Implement scalable inference systems, A/B testing, and monitor production models. Collaborate with cross-functional teams to deliver AI-driven product features. Follow best practices in MLOps, LLMOps, Kubernetes, and Docker. Required Skills: Strong knowledge of Machine Learning, Deep Learning, NLP, and LLMs. Experience with Python, PyTorch, TensorFlow. Familiarity with Generative AI frameworks: Hugging Face, LangChain, MLFlow, LangGraph, LangFlow. Cloud platforms: AWS (SageMaker, Bedrock), Azure AI. Databases: MongoDB, PostgreSQL, Pinecone, ChromaDB. MLOps tools, Kubernetes, Docker. Preferred Qualifications: 3+ years of experience in ML/AI product development. Proven experience building and deploying NLP, LLM, and Generative AI solutions. Experience working with LLMOps best practices. Strong programming skills in Python and familiarity with JavaScript. Interested candidates kindly share your CV and below details to usha.sundar@adecco.com 1) Present CTC (Fixed + VP) - 2) Expected CTC - 3) No. of years experience - 4) Notice Period - 5) Offer-in hand - 6) Reason of Change - 7) Present Location -

Role: We are seeking a talented 2D game artist to contribute to the visual identity of our online slot games. Key Responsibilities: Concept Development: Create high-quality concept art for slot game themes, including characters, environments, and props. Symbol and Reel Design: Design eye-catching symbol sets, reel elements, and animations that enhance player engagement. Illustration & Prod ... uction: Produce polished illustrations for backgrounds, symbols, and other game assets used in online slots. Style Adaptation: Adapt to various slot game styles, ranging from classic and minimalistic to highly detailed and thematic. Collaboration: Work closely with the Art Director and other artists to execute the creative vision. Trend Awareness: Stay up-to-date with industry trends in slot game art, contributing fresh and competitive designs. Profile: Slot Game Experience: Familiarity with slot game art styles and design requirements. Artistic Skills: Strong drawing and digital painting skills, with an ability to create vibrant visuals tailored to slot games. Color and Composition: A solid understanding of color theory, lighting, and composition to craft visually appealing game elements. Generative Tools Knowledge: Proficiency in modern tools (e.g., AI-assisted workflows) to enhance efficiency and creativity. Adaptability: Ability to analyze, reproduce, and innovate within various art styles suited to different slot game themes.

Job Title: 2D Game Artist About the Role: We are seeking a skilled and talented 2D Game Artist to join our team at Code Orion. As a key member of our art department, you will be responsible for creating visually stunning and thematically engaging slot games that captivate our players. Key Responsibilities: Concept Development: Develop high-quality concept art for slot game themes, including ch ... aracters, environments, and props. Your designs should be innovative, engaging, and tailored to our creative vision. Symbols and Reel Design: Create eye-catching symbol sets, reel elements, and animations that enhance player engagement and complement the overall theme. Illustration and Production: Produce polished, production-ready illustrations for backgrounds, symbols, and other game assets used in online slots. Style Adaptation: Adapt to various slot game styles, ranging from classic and minimalistic to highly detailed and thematic, based on project requirements. Collaboration: Work closely with our Art Director and other artists to execute the creative vision and ensure quality and consistency across all assets. Trend Awareness: Stay up-to-date with industry trends in slot game art, contributing fresh and competitive designs. Workflow Optimization: Utilize modern tools and workflows, including generative tools, to efficiently produce high-quality assets. Integration Support: Assist developers by ensuring assets are optimized and seamlessly integrated into Unity. Requirements: Slot Game Experience: Familiarity with slot game art styles and design requirements, including an understanding of player preferences and trends. Artistic Skills: Strong drawing and digital painting skills, with an ability to create vibrant, engaging visuals tailored to slot games. Color and Composition: A solid understanding of color theory, lighting, and composition to craft visually appealing game elements. Generative Tools Knowledge: Proficiency in modern tools (e.g., AI-assisted workflows) to enhance efficiency and creativity. Adaptability: Ability to analyze, reproduce, and innovate within various art styles suited to different slot game themes. Team Player: Strong communication skills and a collaborative mindset to work effectively with team members and receive feedback. Unity Familiarity: Basic knowledge of Unity and asset integration for slot game production. Self-Motivated: Well-organized and proactive, with the ability to manage tasks and meet deadlines in a dynamic work environment. This is an exciting opportunity to bring your creativity to life and contribute to the development of visually stunning and engaging online slot games.

EVOASTRA VENTURES PVT LTD is looking for Machine Learning Engineer Intern to join our dynamic team and embark on a rewarding career journey. Support machine learning initiatives, develop and implement ML models, perform model training, testing, and deployment, collaborate with data scientists and engineers, ensure model accuracy and scalability, and gain hands - on experience in ML techniques and tools. Assist in the optimization of ML workflows and processes.

Role & responsibilities Develop and execute test plans and cases for AI/ML models, GenAI solutions, and agent-based systems. Validate model outputs for accuracy, precision, recall, latency, and interpretability across diverse datasets. Conduct bias testing, data drift analysis, and adversarial robustness validation. Collaborate with AI developers, data scientists, and business analysts to define acceptance criteria. Automate testing pipelines and integrate with CI/CD environments where applicable. Maintain traceability matrices, defect logs, and model validation documentation. Preferred candidate profile Experience in software testing or QA, with at least 1 to 2 years in AI/ML or data-centric testing. Strong understanding of AI model evaluation metrics, data sampling, and validation techniques. Experience using testing frameworks (e.g., PyTest, Great Expectations) and visualization tools. Familiarity with Python, JSON, and REST APIs. Bachelors degree in Computer Science, Statistics, or a related field. Preferred Skills Experience testing LLMs, GenAI prompts, or RAG workflows. Exposure to responsible AI frameworks and model audit practices. ISTQB or other QA certifications are a plus.

Experience inimplementing & designing data pipelines using Azure Data Factory Advanced knowledge of Azure Functions,Event Grid Data processing using Azure AI services,cognitive services,Azure cognitive search Stakeholder management,project managementRole & responsibilities

About the Role: We are seeking a highly motivated and experienced AI Solution Architect to join our growing team. In this critical role, you will play a pivotal role in designing and developing innovative AI solutions for our customers. You will collaborate with key stakeholders including CXOs to understand their challenges and craft comprehensive solutions that leverage the power of AI/ML and Generative AI. Responsibilities: Lead from the front as a hands-on subject matter expert, architecting and crafting scalable AI and Generative AI solutions. Partner with customers to deeply understand their business needs and pain points related to AI/ML and Generative AI. Lead technical responses to RFPs (Request for Proposals), crafting detailed solution architectures, technical approaches, and implementation methodologies Design and build robust and secure solution architectures, encompassing conceptual, technical, and security considerations. This includes high-level and low-level designs, implementation roadmaps, and integration plans with existing workflows. Develop compelling solution proposals, including high-level approach and architecture diagrams with clear narratives that explain key design choices, such as: Selection of appropriate AI/ML models (e.g., supervised learning, unsupervised learning, deep learning) based on data characteristics and problem requirements. Strategies for data pre-processing, feature engineering, and model training. Considerations for model explainability, bias mitigation, and fairness. Work along with engineering team to create proof-of-concept (POC) demonstrations that validate the proposed solutions, considering factors like: Identify and leverage existing AI/ML and Generative AI accelerators and solutions to enhance presales activities, client demos, and POC development. Continuously stay updated on the latest advancements in Generative AI through ongoing learning and training initiatives. Qualifications: Bachelors or masters degree in computer science, Engineering, or a related field. 10+ years of experience in designing and developing AI/ML and Generative AI solutions. Proven track record of successfully translating customer requirements into effective AI-powered solutions. Strong understanding of machine learning principles, frameworks (e.g., pandas, TensorFlow, PyTorch), and best practices. Expertise in cloud computing platforms (Azure, AWS, GCP) for AI/ML deployments. In-depth knowledge of Generative AI models and services like Azure OpenAI, Google AI, AWS, Anthropic, Nvidia NeMo, and Microsoft Copilot etc., plus open source LLMs Experience with natural language processing (NLP) techniques for tasks like text classification, sentiment analysis, and machine translation. Understanding of computer vision (CV) concepts and frameworks for tasks like object detection, image recognition, and image segmentation; and reinforcement learning (RL). Familiarity with designing applications with Nvidia CUDA, and familiarity with NVIDIA NeMo framework for GenAI application development. Knowledge of model deployment strategies, including containerization and orchestration tools (e.g., Docker, Kubernetes).

Job Summary: We are seeking a highly motivated and enthusiastic AI Engineer Fresher with a foundational understanding and hands-on experience (6 months to 1 year) in Data Science and Artificial Intelligence. The ideal candidate will be eager to learn, contribute to real-world AI projects, and grow their expertise in a dynamic team environment. This role will involve working across the AI lifecycle, from data analysis and model development to deployment and monitoring, with a strong emphasis on practical application and problem-solving. Key Responsibilities: Assist in the design, development, and implementation of AI/Machine Learning models and algorithms. Perform data collection, preprocessing, cleaning, and feature engineering to prepare data for model training. Support the training, validation, and testing of machine learning and deep learning models. Collaborate with senior AI Engineers and Data Scientists to understand project requirements and contribute to solution design. Contribute to the deployment and integration of AI models into production systems. Assist in monitoring and evaluating the performance of deployed AI models, identifying areas for improvement. Research and experiment with new AI/ML techniques, frameworks, and tools to enhance existing solutions. Document code, models, and processes thoroughly for maintainability and knowledge sharing. Participate in code reviews and contribute to maintaining high code quality standards. Stay updated with the latest advancements in AI, Machine Learning, and Data Science. Required Skills and Qualifications: Bachelors or master’s degree in computer science, Artificial Intelligence, Data Science, Electrical Engineering, or a related quantitative field. 6 months to 1 year of demonstrable hands-on experience in Data Science and AI projects (e.g., academic projects, internships, personal projects). Strong proficiency in Python and its relevant libraries (e.g., NumPy, Pandas, Scikit-learn, Matplotlib, Seaborn). Solid understanding of core Machine Learning concepts, algorithms (e.g., regression, classification, clustering), and evaluation metrics. Familiarity with at least one deep learning framework (e.g., TensorFlow, PyTorch, Keras). Basic understanding of data manipulation, statistical analysis, and data visualization techniques. Knowledge of SQL for database querying and manipulation. Strong problem-solving abilities and an analytical mindset. Excellent communication and collaboration skills, with the ability to articulate technical concepts. Eagerness to learn, adapt, and take on new challenges. Preferred Skills (Nice-to-Have): Experience with version control systems (e.g., Git). Exposure to cloud platforms (e.g., AWS, Azure, GCP) for AI/ML development and deployment. Familiarity with MLOps concepts and tools. Experience with big data technologies (e.g., Apache Spark, Hadoop). Knowledge of Natural Language Processing (NLP) or Computer Vision techniques. What We Offer: Opportunity to work on cutting-edge AI projects and make a real impact. Mentorship and guidance from experienced AI professionals. A collaborative and supportive work environment. Continuous learning and development opportunities. Competitive salary and benefits package.

Primary Responsibilities: Provides technical direction for the development, design, and systems integration across multiple client engagements from definition phase through implementation Using azure infra for deployment/maintenance of applications Lead the design, development, and deployment of machine learning models and AI systems to address healthcare challenges Conduct exploratory data analysis (EDA), statistical analysis, and feature engineering to interpret complex healthcare data to provide actionable insights Collaborate with cross-functional teams, including clinicians, researchers, and IT, to identify business needs and translate them into technical solutions Develop and implement advanced algorithms and statistical models to solve healthcare-specific problems, such as predictive analytics, patient risk stratification, and medical image analysis Optimize and enhance existing machine learning models for better performance and scalability in healthcare settings Develop and integrate generative AI models and large language models (LLMs) for tasks such as medical text generation, data augmentation, and synthetic data generation Stay updated with the latest advancements in AI/ML technologies and integrate them into ongoing healthcare projects Analyze, design, Code, Review, Integrate, Implement, Install, Deploy and Maintenance of the computer programs and software components using specific tools and latest technologies including Java/J2EE, Web services (REST and SOAP), Microservices Framework, Apache Kafka, Spring Boot, Kubernetes, and Docker, JSON, Node JS, Casandra, GraphQL etc. Design, develop, and maintain robust and scalable RESTful APIs for data exchange between healthcare systems Mentor and guide junior data scientists and engineers, fostering a culture of continuous learning and improvement Ensure data integrity, accuracy, and security, complying with healthcare regulations such as HIPAA Develop and maintain documentation for models, processes, and systems Comply with the terms and conditions of the employment contract, company policies and procedures, and any and all directives (such as, but not limited to, transfer and/or re-assignment to different work locations, change in teams and/or work shifts, policies in regards to flexibility of work benefits and/or work environment, alternative work arrangements, and other decisions that may arise due to the changing business environment). The Company may adopt, vary or rescind these policies and directives in its absolute discretion and without any limitation (implied or otherwise) on its ability to do so Required Qualifications: Bachelors degree in Computer Science, Engineering, or a related field Experience in data science, machine learning, or AI engineering roles like GenAI, Statistical Analysis, Data Mining, and Data Visualization, ML framework and libraries TensorFlow, PyTorch, scikit-learn, and Keras Experience as a Full Stack Engineer with Solid proficiency in Java, SpringBoot, Python or other backend programming languages Experience with cloud platforms (e.g., Azure) and containerization technologies (e.g., Docker, Kubernetes) Solid understanding of database concepts, distributed systems, and data warehousing principles Preferred Qualifications: Masters degree Azure certifications Familiarity with the US Healthcare domain At UnitedHealth Group, our mission is to help people live healthier lives and make the health system work better for everyone. We believe everyoneof every race, gender, sexuality, age, location and incomedeserves the opportunity to live their healthiest life. Today, however, there are still far too many barriers to good health which are disproportionately experienced by people of color, historically marginalized groups and those with lower incomes. We are committed to mitigating our impact on the environment and enabling and delivering equitable care that addresses health disparities and improves health outcomes an enterprise priority reflected in our mission. #Nic

Job Title: AgentOps Lead Champion Location: Flexible (India/Bengaluru preferred) Team: GrowthTech | AI Enablement | Marketing Ops Reports To: VP, Growth & Intelligence Systems Role Overview LakeB2B is seeking a strategic, hands-on AgentOps Lead to drive the next wave of AI agent innovation across marketing, sales, and customer success functions. You will lead the development, deployment, and continuous optimization of LakeB2B’s proprietary AI agents and data science products, unlocking growth across our internal operations and for our external clients. This is a hybrid role at the intersection of data science, AI agent orchestration, and B2B growth. You’ll lead high-performing teams, collaborate cross-functionally, and turn 1.1B+ records into intelligent, scalable agent solutions that fuel the revenue engine. Key Responsibilities AI Agent Deployment & Intelligence • Architect and operationalize LakeB2B’s proprietary agent suite including ICP GPT, Lead GPT, Data GPT, Campaign Co-Pilot, and Company GPT. • Manage prompt engineers and agent trainers to create, refine, and QA agents tailored to vertical-specific use cases. • Integrate agents with LakeB2B’s proprietary datasets (730M contacts, 340M firmographics) for real-time personalization. Performance & Data Strategy • Develop advanced performance dashboards to measure agent impact (leads, response rates, conversions) and identify top-performing datasets. • Work with campaign managers and data teams to pilot successful agent use cases and surface actionable data patterns. • Apply natural language processing (NLP), computer vision, or predictive analytics techniques to improve agent intelligence and user value. ML & Data Science Productization • Design and implement advanced ML models and AI-driven algorithms for use in both internal ops and external data products. • Build predictive models, customer segmentation tools, recommendation engines, and data enrichment layers to supercharge campaign outcomes. • Collaborate with product, sales, and engineering teams to develop data-powered solutions for clients. Data Operations & Infrastructure • Lead efforts in data cleansing, deduplication, identity resolution, and enrichment to improve accuracy and usability of data products. • Build and automate robust data pipelines for efficient processing, modeling, and delivery of AI and ML solutions. • Continuously monitor, evaluate, and refine models for accuracy, impact, and ethical use. Cross-Functional Collaboration & Governance • Coordinate with IT, data science, and AI vendors to ensure data readiness, security, and responsible AI practices. • Document agent behavior, model assumptions, and data workflows; communicate findings clearly to internal and external stakeholders. Key Skills & Requirements Must-Have: • Bachelor’s/Master’s in Data Science, Computer Science, Statistics, Mathematics, or related fields • 6+ years in B2B marketing ops, product, AI deployment, or sales enablement (with at least 3+ in a data science/ML/AI role) • Strong command over Python (Pandas, NumPy, Scikit-learn, TensorFlow, PyTorch) or R • Deep understanding of supervised/unsupervised ML algorithms and deep learning methods • Familiarity with NLP, recommendation systems, clustering, regression, and classification techniques • Experience with large-scale datasets, ETL workflows, and real-time data enrichment • Hands-on experience with AWS, Azure, or GCP • Familiarity with big data platforms like Spark, Hadoop (preferred) • Experience working with CRM systems, multichannel campaign tools, or outbound GTM stacks • Exceptional analytical thinking and business translation skills Nice to Have • Experience building LLM-based agents and hyper-personalized outbound automations • Exposure to growth marketing, ABM, or performance marketing strategies • Experience in building AI-first external client-facing products • Prior work in SaaS or B2B data firms Role & responsibilities Interested Candidate share your resume to thirumala.j@championsmail.com

Looking for Python Developer Mode - Work from Office No of Days 5 days of working Shift Timing 2.00PM to 11.00PM Roles and Responsibilities Develop machine learning models to solve specific business problems. Collaborate with data scientists to fine-tune algorithms and improve accuracy. Deploy ML models into production environments using frameworks like Django. Write clean, maintainable code in Python, focusing on AI and ML development. Work with large datasets to train machine learning models. Implement APIs in Django for serving predictions made by ML models. Analyse and interpret complex data to derive insights and support decision-making. Design and implement machine learning models to analyse trends and patterns. Use Django to build data-driven applications that visualize results. Develop and maintain AI models and systems that help automate tasks. Work on natural language processing, computer vision, or other AI subfields. Use Django to create user interfaces for AI model interactions. Build end-to-end applications, integrating front-end and back-end technologies. Implement machine learning and AI features in web applications built with Django. Ensure that applications are scalable and maintainable. Manage the deployment and scaling of machine learning models in production. Use containerization (e.g., Docker) and orchestration tools (e.g., Kubernetes) for AI solutions. Monitor and optimize resource usage for machine learning applications built with Django. Use Django to create RESTful APIs for accessing ML model predictions and integrating with other systems. Implement testing strategies to ensure the quality and performance of algorithms and applications. Collaborate with data scientists to fine-tune algorithms and improve accuracy. Write clean, maintainable code in Python, focusing on AI and ML development. Proficiency in Python, as well as familiarity with frameworks like Django for web development. Understanding of machine learning concepts, algorithms, and best practices. Experience with data libraries such as Pandas, NumPy, and visualization tools like Matplotlib or Seaborn. Familiarity with Git for version control. Knowledge of deployment techniques and cloud platforms (e.g., AWS, Google Cloud) for hosting applications. Strong communication skills to help convey technical details to non-technical stakeholders of Form

As an NLP Lead Data Scientist, you will be building solutions that require analysing and transforming natural language data into useful outcomes using NLP techniques. To succeed in this role, you should possess outstanding skills in statistical analysis, machine learning methods and text representation techniques and language models, consulting experience in FS, banking domain, good communication and client handling skill. Responsibilities : Build Solutions that identify intent and entities, other features from user comments, chat transcript and other unstructured text data. Design and implement advanced solutions utilizing NLP traditional Models and Large Language Models (LLMs). Demonstrate self-driven initiative by taking ownership and creating end-to-end solutions. Conduct research and stay informed about the latest developments in generative AI and LLMs. Train and fine-tune pre-trained NLP models and run evaluation experiments. Perform statistical analysis of results and refine models. Basic logical pseudo code writing. Develop and maintain code libraries, tools, and frameworks to support generative AI development. Participate in code reviews and contribute to maintaining high code quality standards. Engage in the entire software development lifecycle, from design and testing to deployment and maintenance. Collaborate closely with cross-functional teams to align messaging, contribute to roadmaps, and integrate software into different repositories for core system compatibility. Possess strong analytical and problem-solving skills. Demonstrate excellent communication skills and the ability to work effectively in a team environment. Primary skills: Natural Language Processing (NLP): Hands-on experience in use case classification, topic modeling, Q&A and chatbots, search, Document AI, summarization, and content generation. AND/OR Computer Vision and Audio: Hands-on experience in image classification, object detection, segmentation, image generation, audio, and video analysis. Generative AI: Proficiency with SaaS LLMs, including Lang chain, llama index, vector databases, Prompt engineering (COT, TOT, ReAct, agents). Experience with Azure OpenAI, Google Vertex AI, AWS Bedrock for text/audio/image/video modalities. Familiarity with Open-source LLMs, including tools like TensorFlow/Pytorch and huggingface. Techniques such as quantization, LLM finetuning using PEFT, RLHF, data annotation workflow, and GPU utilization. Cloud: Hands-on experience with cloud platforms such as Azure, AWS, and GCP. Cloud certification is preferred. Application Development: Proficiency in Python, Docker, FastAPI/Django/Flask, and Git Domain Skill: Consulting experience with FS,Banking domain for at least 3 years. Required qualifications: 16-20 years into Deep Learning framewokrs like Keras, Pytorch, TensorFlow Experience of design, building and deployment of ML/NLP Solutions Proficient in Python & SQL Experience in NLP tools like Genism, spacy, Stanford NLP, HuggingFace Must have excellent project/program management skills and have experience managing multiple work streams and projects at one time Have business acumen to manage revenues profitably and meet financial goals consistently. Able to quantify business value for clients and create win-win commercial propositions. Preferred qualifications: Experience automating data within Tableau/Qlik/ggplot/Shiny to tell a story through interactive visualizations Client relationship management: Build deep client relationship, network & be a thought partner. Anticipate business problems & deliver par excellence. Sales Support & account growth: Actively focus on opportunities to grow the client along with the senior engagement manager. Support the sales team as required for RFPs and regular sales pitches Firm building: Contribute to firm growth by participating and conducting training sessions. Coaching & grooming: Coach & groom the team on gaining knowledge & skills on first principles of analytics techniques, problem-solving, project management, client relationship management EDUCATION: B.E/B.Tech/M.Tech in Computer Science or related technical degree OR Equivalent

YOUR IMPACT: OpenText provides cloud environment for addressing the B2Bi and MFT needs of various customers from different geos and business domains. Customers can choose the OpenText Managed Service cloud with public, private or hybrid models of deployments Analyst team would be responsible for the analysis of various B2B implementation requests. Team will gather and analyze the customer business requirements and design & develop the mapping specification documents P2P, Canonical etc. Once the specification is created, it will be handed over to the map development team. During the course of the map development and testing, analyst team will provide the necessary support to the development and QA team by clarifying all their questions. Analyst team will validate the map developed, and provide the necessary approvals and submit the same for the end customer approval. Once the customer approved the map, analyst team will coordinate with Integration team to get the maps deployed in the required environments (Pre-Prod / Prod). WHAT THE ROLE OFFERS: Lead one or more projects in the capacity of a Key Analyst by interacting with all the project stakeholders and customers to gather the requirements, Develop and build EDI maps (inbound and outbound) using Biz Trans or Contivo as the mapping translator based on the document, structures and specifications, testing with sample data, generating the output and validating the output Excellent B2B/EDI business knowledge to understand the customers business requirements, converting it into correlation document and build maps based on the correlation doc. Mentoring and guiding the junior members of the team Communicate overall status of map development/changes to Project Lead/Manager and other project stakeholders. WHAT YOU NEED TO SUCCEED: Excellent Knowledge of EDI Standards like ANSI X12, EDIFACT, TRADACOM, XML, RosettaNet Extensive mapping knowledge in GXS AI / BizTrans / Contivo BE/B.Tech /ME/ M.Tech/MCA with 5-8 years of work experience. Good experience on XML, XSLT and XPath Experience on Spec builder Knowledge of communication protocols like VAN, FTP, sFTP, FTPS, OFTP, AS2 HTTP etc. Knowledge on Unix/Linux commands. Scripting knowledge Shell/Python/Perl/Java scripting. Basic understanding of Trading partner setup and enablement. Deployment of artifacts like Maps, Tables etc., and debugging and resolving the CAT and/or production issues. Strong communication skills - verbal, written and listening

Key Responsibilities: Lead AI/ML solution development using Python, including API integration and data processing tasks. Conduct research and feasibility analysis for GenAI use cases relevant to the customers business. Review offshore deliverables to ensure adherence to best practices and quality standards before client submission. Collaborate with cross-functional teams to align technical solutions with business goals. Confidently articulate AI/ML concepts and practices to both technical and non-technical stakeholders. Preferred Skills: Strong hands-on experience in Python programming. Exposure to ML Ops practices and deployment workflows. Ability to mentor junior team members and guide solution design. Excellent communication and stakeholder management skills.

We are seeking a highly skilled and experienced Data Scientist to join our team based in Bangalore. As a Data Scientist, you will play a critical role in developing and implementing AI/ML solutions. You will be responsible for utilizing your expertise in Python, SQL, and various frameworks like Scikit Learn, TensorFlow, and PyTorch to deliver production-grade AI/ML projects. The ideal candidate will have 2+ years of experience in Data Science, AI/ML, and a solid understanding of mathematical and statistical concepts. Experience in the US Healthcare domain and knowledge of Big Data and data streaming technologies are desirable. Primary Responsibilities: Develop and implement AI/ML solutions using Python, pandas, numpy, and SQL Utilize frameworks such as Scikit Learn, TensorFlow, and PyTorch to build and deploy models Perform exploratory data analysis (EDA), statistical analysis, and feature engineering to uncover insights and patterns in data Build, tune, and evaluate machine learning models for predictive and prescriptive analytics Conduct drift analysis to monitor model performance and ensure accuracy over time Collaborate with cross-functional teams to understand business requirements and translate them into technical solutions Work on the full life cycle of AI/ML projects, including data preparation, model development, tuning, and deployment Ensure the scalability, reliability, and efficiency of AI/ML solutions in production environments Stay updated with the latest advancements in AI/ML techniques and tools, and identify opportunities to apply them to enhance existing solutions Document and communicate findings, methodologies, and insights to technical and non-technical stakeholders Comply with the terms and conditions of the employment contract, company policies and procedures, and any and all directives (such as, but not limited to, transfer and/or re-assignment to different work locations, change in teams and/or work shifts, policies in regards to flexibility of work benefits and/or work environment, alternative work arrangements, and other decisions that may arise due to the changing business environment). The Company may adopt, vary or rescind these policies and directives in its absolute discretion and without any limitation (implied or otherwise) on its ability to do so Required Qualifications: Bachelors or Masters degree in Computer Science, Data Science, Statistics, or a related field 10+ years of overall experience with 5+ years of experience in Data Science, AI/ML, or a similar role Hands-on experience in delivering production-grade AI/ML projects Experience with the full life cycle of AI/ML projects, including EDA, model development, tuning, and drift analysis Solid understanding of mathematical and statistical concepts Solid programming skills in Python, with experience in pandas, numpy, and SQL Proficiency in frameworks such as Scikit Learn, TensorFlow, and PyTorch Proven excellent problem-solving and analytical thinking skills Proven solid communication and collaboration skills to work effectively in a team environment Preferred Qualifications: Knowledge of Big Data technologies (PySpark, Hadoop) and data streaming tools (Kafka, etc.) Familiarity with the US Healthcare domain At UnitedHealth Group, our mission is to help people live healthier lives and make the health system work better for everyone. We believe everyoneof every race, gender, sexuality, age, location and incomedeserves the opportunity to live their healthiest life. Today, however, there are still far too many barriers to good health which are disproportionately experienced by people of color, historically marginalized groups and those with lower incomes. We are committed to mitigating our impact on the environment and enabling and delivering equitable care that addresses health disparities and improves health outcomes an enterprise priority reflected in our mission. #nic

Optum is a global organization that delivers care, aided by technology to help millions of people live healthier lives. The work you do with our team will directly improve health outcomes by connecting people with the care, pharmacy benefits, data and resources they need to feel their best. Here, you will find a culture guided by diversity and inclusion, talented peers, comprehensive benefits and career development opportunities. Come make an impact on the communities we serve as you help us advance health equity on a global scale. Join us to start Caring. Connecting. Growing together Collaborate with AI Architects, Cloud Engineers, and a CRM Development Team to design and implement machine learning models and systems. Work with GenAI models like Gemini, GPT4, as well as traditional machine learning models from the NLP/Deep Learning discipline. Retrain existing models and systems to ensure their accuracy and efficiency. Evaluate machine learning models and ensure they adhere to ethical standards. Stay current with the latest trends and technologies in machine learning and artificial intelligence. Provide technical support and guidance to the development team on machine learning-related issues. Troubleshoot any issues related to the machine learning systems and conduct regular system tests to ensure their functionality and efficiency. Document all procedures and systems related to the machine learning infrastructure for future reference and audits. Graduate degree or equivalent experience. 4 year bachelors degree in Computer Science / Information Technology / Computer Engineering from a recognized university or equivalent experience Proven experience as a Machine Learning Engineer or similar role in the industry. Strong knowledge of GenAI models like Gemini, GPT4, and traditional machine learning models from the NLP/Deep Learning discipline. Proficiency in Python development. Experience working with AI technologies and cloud platforms (Google Cloud Platform, GCP). Excellent problem-solving and troubleshooting skills. Ability to work collaboratively with a diverse team of engineers, architects, and developers. Nice to Have Machine Learning certifications. Experience in a Healthcare Payer enterprise. Proficient in CRM platforms, such as Salesforce. Knowledge of data privacy regulations and practices. Experience in training team members on machine learning technologies and applications. Strong communication and project management skills. Careers with Optum. Heres the idea. We built an entire organization around one giant objective; make the health system work better for everyone. So when it comes to how we use the worlds large accumulation of health-related information, or guide health and lifestyle choices or manage pharmacy benefits for millions, our first goal is to leap beyond the status quo and uncover new ways to serve. Optum, part of the UnitedHealth Group family of businesses, brings together some of the greatest minds and most advanced ideas on where health care has to go in order to reach its fullest potential. For you, that means working on high performance teams against sophisticated challenges that matter. Optum, incredible ideas in one incredible company and a singular opportunity to do your lifes best work.SM Diversity creates a healthier atmosphereUnitedHealth Group is an Equal Employment Opportunity/Affirmative Action employer and all qualified applicants will receive consideration for employment without regard to race, color, religion, sex, age, national origin, protected veteran status, disability status, sexual orientation, gender identity or expression, marital status, genetic information, or any other characteristic protected by law. UnitedHealth Group is a drug-free workplace. Candidates are required to pass a drug test before beginning employment. #Nic

Primary Responsibility: Comply with the terms and conditions of the employment contract, company policies and procedures, and any and all directives (such as, but not limited to, transfer and/or re-assignment to different work locations, change in teams and/or work shifts, policies in regards to flexibility of work benefits and/or work environment, alternative work arrangements, and other decisions that may arise due to the changing business environment). The Company may adopt, vary or rescind these policies and directives in its absolute discretion and without any limitation (implied or otherwise) on its ability to do so Required Qualifications: Bachelors degree in computer science/IT/Math/Statistics/Engineering, or equivalent work experience Certifications in relevant technologies (e.g., RHCE, Terraform Associate, Microsoft Power BI) 2+ years of experience in AI/ML engineering or related fields Hands-on experience with GenAI tools, LLMs (eg, GPT, LLaMA), and RAG pipelines Hands-on experience withPower BIor equivalent data visualization tools Experience leading and implementing AI/ML projects with demonstrable value to the organization, from ideation to delivery and evaluation Experience with CI/CD tools such as Jenkins, GitHub Actions, Docker, and Kubernetes Experience with ML frameworks (eg, PyTorch, TensorFlow) Experience with cloud platforms (e.g., AWS, Azure, GCP) Knowledge of ethical AI principles and responsible AI deployment strategies Knowledge of containerization tools like Docker and orchestration with Kubernetes Familiarity withconfiguration management and infrastructure-as-code tools(e.g., Ansible, Terraform) Solid understanding ofLinux operating systems, including system administration and security practices Exposure to cloud-native AI deployment and monitoring practices Proficiency inPython scriptingwith a solid understanding of software development principles Proven solid problem-solving skills and the ability to work independently or as part of a team Proven excellent communication and documentation skills At UnitedHealth Group, our mission is to help people live healthier lives and make the health system work better for everyone. We believe everyoneof every race, gender, sexuality, age, location and incomedeserves the opportunity to live their healthiest life. Today, however, there are still far too many barriers to good health which are disproportionately experienced by people of color, historically marginalized groups and those with lower incomes. We are committed to mitigating our impact on the environment and enabling and delivering equitable care that addresses health disparities and improves health outcomes an enterprise priority reflected in our mission. #NIC

Req ID: 332228 NTT DATA strives to hire exceptional, innovative and passionate individuals who want to grow with us. If you want to be part of an inclusive, adaptable, and forward-thinking organization, apply now. We are currently seeking a Business Consulting- Functional DB consultant to join our team in Pune, Mah r shtra (IN-MH), India (IN). Primary skills: Domain-Capital Markets-Wealth Management is mandatory Key Responsibilities: Requirements Gathering and Analysis: Working with stakeholders to understand business needs and translate them into database requirements. Database Design and Implementation: Designing and developing database schemas, data models, and database structures to support business processes. Database Optimization and Tuning: Improving database performance, efficiency, and scalability through optimization techniques. Data Migration and Integration: Developing and implementing strategies for migrating data between systems and integrating data from various sources. Security and Access Control: Ensuring the security and integrity of the database by implementing appropriate security measures and access controls. Troubleshooting and Support: Diagnosing and resolving database-related issues, providing support to end-users, and collaborating with technical teams. Documentation and Training: Creating and maintaining documentation related to database design, implementation, and usage, as well as providing training to users. Collaboration: Working with developers, system administrators, and other stakeholders to ensure seamless database integration with other systems. Staying Current: Keeping up-to-date with the latest database technologies, best practices, and security standards. Skills and Qualifications: Database Expertise: Strong knowledge of database concepts, design principles, and various database systems (e.g., Oracle , SQL Server , PostgreSQL ). SQL Proficiency: Solid understanding of SQL and experience with writing complex queries. Data Modeling: Ability to create and interpret data models. Business Acumen: Understanding of business processes and how they relate to database design and implementation. Communication Skills: Excellent communication and interpersonal skills to effectively interact with stakeholders and team members. Problem-Solving Skills: Strong analytical and problem-solving skills to troubleshoot and resolve database issues. Experience with Cloud Technologies: Familiarity with cloud-based database solutions (e.g., AWS , Azure , Google Cloud ) is often preferred. Project Management Skills: Experience in managing database projects, including planning, execution, and delivery.

RolePricing General Requirements: Knowledge of mathematics, probability, statistics and Commercial Insurance business. Knowledge of Insurance process(es) and pricing methodologies (conventional and Innovative approaches) Mandatory Requirements: Work experience in Pricing for commercial insurance risks (eg. property LOB)Work experience on pricing modelling using Exposure and Experience rating methodologies. Should have in-depth knowledge in pricing methodologies using EMBLEM and RADAR tools. Should have built pricing tools/raters on Excel. Should have knowledge on Frequency, Severity modelling and Loss cost modelling. Additional good to have requirements: Knowledge of actuarial tools (EMBLEM/RADAR), data mining tools like SQL/R/Python, automation using VBA macros Knowledge of ST-8 General Insurance Pricing Actuarial science would be preferable Work experience on GLM modelling Frequency and Severity Work experience on Impact Analysis using Radar tool would be an added advantage. Screening parameters: Work experience in General Insurance Pricing Knowledge on Pricing Exposure & Experience rating techniques (familiar with key concepts like LDF, ILF, loss curves) Cleared or appeared for Actuarial Science exam- ST-8General Insurance Pricing Modelling (Frequency & Severity modelling) using Emblem/R/SAS/Python Qualifications Proficient in predictive analytics methodology and its use in the insurance industry. Experienced in use of R, Python, and other open-source languages. Familiarity with Willis Towers Watson modeling software preferred. Working knowledge of P&C insurance marketplace. Knowledge and understanding of best practices and the competitive landscape. Job Location

We are excited to offer you the opportunity to score for the American College Testing ( ACT). The ACT, which stands for American College Testing, is a standardized test used by colleges and universities in the United States to assess a high school students readiness for college. It evaluates academic potential and is a key component of the undergraduate admissions process. The ACT measures skills in areas such as reading, writing, and mathematics, helping admissions officers compare applicants. About the Role: As a Professional Scorer for the ACT, you will evaluate challenging written responses that are based on a stringent set of rubrics. The majority of responses on this assessment are scored by an artificial intelligence system; however, you will be tasked with scoring outlier responses that could not be assessed by the AI. These responses may not closely align with the prompts, requiring you to make nuanced scoring decisions. Responsibilities: Evaluate student responses to open-ended questions reliably and score according to the provided scoring guide. Successfully internalize training materials and the customer scoring guide. Pass a qualifying test before beginning scoring. Apply the scoring guide without personal bias, adhering strictly to customer requirements. Qualifications: We are seeking qualified candidates to join our scoring team. Please review the following qualifications to ensure you meet the necessary requirements: Educational Requirement : Bachelor s degree from an accredited institution. Technical Skills : Basic computer literacy is required. Assessment : Successful completion of the Versant qualification test. Confidentiality : Ability to maintain a secure and confidential work environment. Training and Work Environment Requirements : You must attend mandatory training remotely Training and scoring will be available every day from 5:00am to 11:59pm Central or 3:30 pm to 10:29 am IST. The scoring window may change based on project needs. The maximum number of hours that you can work is 12 hours per day, with a maximum of 40 hours per week. Your supervisor must pre-approve any hours over 40 Personal Computer and Internet : Candidates must have access to a personal computer that meets the scoring systems specifications, as well as reliable internet service. Note : Use of shared office computers, institutional, or public computer labs is not permitted. System Recommendations : Windows Users : The operating system must be Windows XP, Vista, 7, 8, or 10. Mac Users : The operating system must be OS X Snow Leopard (10.6), Lion (10.7), Mountain Lion (10.8), Mavericks (10.9), or Yosemite (10.10). Preparation Tip : It is recommended to verify that your system is relatively up to date to ensure compatibility with the scoring platform. Internet Requirements : A stable high-speed internet connection with a minimum speed of 25 Mbps is required for optimal performance. Important note: Please upload your resume and screenshot of your speed test result using https://www.speedtest.net Upon applying, Pearson will communicate primarily through email and text messaging regarding applications for employment at the email and mobile number provided in the application. Message and data rates may apply. Reply STOP to no longer receive messages. Message frequency varies. You may view our Terms of Service and Privacy Policy at the bottom of this page. NOTE: Applications are accepted on an ongoing basis. Job: Evaluation Job Family: PROFESSIONAL DEVELOPMENT Organization: Assessment & Qualifications Schedule: PART_TIME Workplace Type: Remote Req ID: 20358 #LI-REMOTE

Responsibilities : Lead AI Strategy: Oversee AI/ML projects from development to deployment, ensuring alignment with business goals. Model Development & Fine-tuning: Lead the fine-tuning of LLMs and advanced NLP models to meet enterprise needs. Team Leadership: Manage and mentor data science teams, fostering growth and innovation. Cross-functional Collaboration: Work with engineers, product teams, and leadership to drive AI initiatives. Optimization & Deployment: Ensure efficient workflows, containerization (Docker), and scalable model deployment. Client Engagement: Provide strategic insights and translate AI capabilities into business solutions. Good to Have: Cloud Platform Expertise: Experience working with AWS, Azure, or GCP on large-scale AI/ML projects. Enterprise Solutions: Familiarity with enterprise Knowledge Management Systems and their integration with AI-driven tools. Advanced MLOps: Deep understanding of MLOps principles and tools to ensure efficient model deployment and monitoring. Problem-Solving: Ability to break down complex problems into manageable components and design effective solutions. Innovation: A passion for experimenting with cutting-edge AI/ML technologies and applying them to real-world business problems. Required Skills: Technical Skills: Proficiency in Python, with strong expertise in libraries such as PyTorch, Pandas, and NumPy. Extensive experience in fine-tuning large language models (LLMs) and applying advanced NLP techniques. Strong background in handling both structured and unstructured data, with hands-on experience working on complex data transformations. Proficiency in MLOps tools, including Docker, Kubernetes, and cloud platforms (AWS, Azure, or GCP). In-depth knowledge of model optimization, deployment pipelines, and scalable production environments. Ability to design and implement AI/ML workflows that balance speed and quality in a fast-paced environment. Leadership Skills: Proven ability to lead and manage teams of data scientists, driving results through mentorship and strategic guidance. Strong project management skills, with experience handling multiple AI projects simultaneously and ensuring timely delivery. Exceptional communication skills to work with cross-functional teams and explain complex AI concepts to non-technical stakeholders.