NVIDIA is seeking an elite Senior Verification Engineer to verify the design and implementation of the next generation of memory subsystem units for the world s leading GPUs and SOCs. This position offers the opportunity to have real impact in a dynamic, technology-focused company impacting product lines ranging from consumer graphics to self-driving cars and the growing field of artificial intelligence. We have crafted a team of outstanding people stretching around the globe, whose mission is to push the frontiers of what is possible today and define the platform for the future of computing. The GPU started out as an engine for simulating human imagination, conjuring up the amazing virtual worlds of video games and Hollywood films. Today, NVIDIA s GPU simulates human intelligence, running deep learning algorithms and acting as the brain of computers, robots, and self-driving cars that can perceive and understand the world. NVIDIA is increasingly known as the AI computing company. What you ll be doing: You will be responsible for verifying the ASIC design, architecture and micro-architecture of memory sub-systems/units using advanced verification methodologies. Understand the design and implementation, define the verification scope, develop the verification infrastructure and verify the correctness of the design. Coming up come up with test plans, tests and verification infrastructure for complex IPs/sub-systems. Build reusable bus functional models, monitors, checkers and scoreboards following coverage driven verification methodology. Work on advanced verification methodologies like SV/UVM. Perform functional coverage driven verification closure. Working with architects, designers, and pre and post silicon verification teams to accomplish your tasks. What we need to see: B. Tech. / M. Tech. , or equivalent experience. 5+ years of relevant experience. Experience in verification of complex IPs/units and sub-systems. Background in verification using random stimulus along with functional coverage and assertion-based verification methodologies. Expertise in Verilog. Knowledge in SystemVerilog or similar HVL / UVM or VMM. Ways to stand out from the crowd: Experience in memory subsystem or network interconnect IP verification. Good debugging and analytical skills with sound scripting knowledge. Good communication and excellent team player. With competitive salaries and a generous benefits package, NVIDIA is widely considered to be one of the most desirable employers in the world. We have some of the most brilliant and talented people in the world working for us. If you are creative, autonomous and love a challenge, we want to hear from you. #LI-Hybrid

We have an exciting and rewarding opportunity for you to take your Predictive Science career to the next level. As an Applied AI ML Lead - Data Scientist- Vice President at JPMorgan Chase within the Commercial Investment Banks Global Banking team, you ll leverage your technical expertise and leadership abilities to support AI innovation. You should have deep knowledge of AI/ML and effective leadership to inspire the team, align cross-functional stakeholders, engage senior leadership, and drive business results. Job Responsibilities Lead a local AI/ML team with accountability and engagement into a global organization. Mentor and guide team members, fostering an inclusive culture with a growth mindset. Collaborate on setting the technical vision and executing strategic roadmaps to drive AI innovation. Deliver AI/ML projects through our ML development life cycle using Agile methodology, help transform business requirements into AI/ML specifications, define milestones and ensure timely delivery. Work with product and business teams to define goals and roadmaps, maintain alignment with cross-functional stakeholders. Exercise sound technical judgment, anticipate bottlenecks, escalate effectively, and balance business needs versus technical constraints. Design experiments, establish mathematical intuitions, implement algorithms, execute test cases, validate results and productionize highly performant, scalable, trustworthy and often explainable solution. Mentor junior team members in delivering successful projects and building successful career in the firm. Participate and contribute back to firmwide Machine Learning communities through patenting, publications and speaking engagements. Evaluate and design effective processes and systems to facilitate communication, improve execution and ensure accountability. Required qualifications, capabilities, and skills Formal training or certification on Predictive Science concepts and 5+ years applied experience Track record of managing AI/ML or software development teams and experience as a hands-on practitioner developing production AI/ML solutions. Deep knowledge and experience in machine learning, artificial intelligence and ability to set teams up for success in speed and quality, design effective metrics and hypotheses. Expert in at least one of the following areas Large Language Models, Natural Language Processing, Knowledge Graph, Computer Vision, Speech Recognition, Reinforcement Learning, Ranking and Recommendation, or Time Series Analysis. Good understanding of Data structures, Algorithms, Machine Learning, Data Mining, Information Retrieval, Statistics. Demonstrated expertise in machine learning frameworks Tensorflow, Pytorch, pyG, Keras, MXNet, Scikit-Learn. Strong programming knowledge of python, spark, strong grasp on vector operations using numpy, scipy and strong grasp on distributed computation using Multithreading, Multi GPUs, Dask, Ray, Polars etc. Familiarity with agentic workflows and relevant frameworks, such as LangChain, LangGraph, Auto-GPT etc. Familiarity in AWS Cloud services such as EMR, Sagemaker etc. , Strong people management, team-building skills and ability to coach and grow talent, foster a healthy engineering culture and attract/retain talent, build a diverse, inclusive, and high-performing team. Ability to inspire collaboration among teams composed of both technical and non-technical members, effective communication, solid negotiation skills, and strong leadership. Preferred qualifications, capabilities, and skills 14+ years (BE/BTech/BS) or 8+ (ME/MTech/MS) or 5+ (PhD) years of relevant experience in Computer Science, Information Systems, Statistics, Mathematics, or equivalent experience. Experience working at code level

Job Summary: We are seeking a highly skilled and experienced AI/ML Consultant to join our team and support the development and deployment of advanced machine learning and artificial intelligence solutions. The ideal candidate will possess deep technical expertise, strong business acumen, and the ability to bridge the gap between complex algorithms and real-world business applications. Key Responsibilities: Collaborate with clients and internal stakeholders to identify opportunities for AI/ML applications. Design, develop, and deploy machine learning models and AI algorithms tailored to specific business problems. Evaluate model performance and implement improvements for scalability, accuracy, and efficiency. Advise clients on AI/ML strategies, tools, and frameworks suitable for their environment. Lead workshops, presentations, and training sessions for clients and internal teams. Translate complex technical solutions into clear business value propositions. Stay updated with the latest AI/ML trends, tools, and research to continuously improve offerings. Requirements: Proven experience in developing and deploying machine learning models. Proficiency in Python (preferred), R, or other programming languages used in data science. Strong understanding of frameworks such as TensorFlow, PyTorch, scikit-learn, XGBoost, etc. Experience with cloud-based ML platforms (AWS SageMaker, Azure ML, GCP Vertex AI, etc.). Solid understanding of data preprocessing, feature engineering, and model evaluation techniques. Familiarity with MLOps practices and tools (e.g., MLflow, Kubeflow, Docker). Educational Background: Bachelors or Master’s degree in Computer Science, Data Science, Engineering, Mathematics, or a related field. Professional Skills: Strong problem-solving skills with a consultative approach. Excellent communication and presentation skills, especially with non-technical stakeholders. Ability to manage multiple projects and deliver high-quality results under tight deadlines. Prior experience in a consulting or client-facing role is highly preferred. Preferred Qualifications: Experience in specific AI/ML domains such as NLP, Computer Vision, Time Series Forecasting, or Reinforcement Learning. Industry experience in sectors such as finance, healthcare, retail, manufacturing, or logistics. Knowledge of data governance, security, and compliance standards.

Hi All Greetings from Ontime Solutions Immediate hiring for Data Scientist Exp-4yrs to 8yrs Loc- Bangalore Computer Vision & Image Processing Strong knowledge of object detection, image segmentation, feature extraction, and optical flow. Familiarity with tools like OpenCV, Dlib, and MediaPipe for real-time vision processing. Experience with GANs (Generative Adversarial Networks) for image generation or style transfer tasks. Model Architectures Expertise in designing and deploying CNNs, RNNs, Transformers, and hybrid models. In-depth understanding of model architectures for multimodal data fusion (e.g., combining audio-video inputs for predictive models). Edge Computing & Embedded Systems Experience deploying and optimizing models on edge devices (e.g., NVIDIA Jetson, Raspberry Pi, Intel Movidius). Familiarity with frameworks like TensorFlow Lite, OpenVINO, or TensorRT for model deployment on edge hardware. Ability to work with microcontrollers and edge AI platforms, optimizing performance for low-power and low-latency Hybrid Immediate joiners only If you are interested, share me your resume to hrd9@ontimesolutions.in or call 7204275811

Job Title: OCI Cloud AI Architect Location: Preferable- Noida (PAN India)-WFO Shift timings : 2PM to 11PM IST Total Experience : 10-15 years Primary Skill 1015 years in Oracle Cloud and Artificial Intelliegence, with 5+ years of proven experience in designing, architecting and deploying full stack AI/ML & Gen AI Solution over OCI AI stack Strong Python programming development experience, streamlit, XML, JSON etc. Deep hands-on knowledge of LLMs (e.g. Cohere, GPT etc.) & prompt engineering techniques (e.g. zero-shot, few-shot, CoT, and ReAct) especially for Cohere, & OpenAI Models. Strong knowledge of AI governance, security, guardrails, and responsible AI. Must have knowledge of data ingestion, feature engineering, model training, evaluation, deployment, and monitoring. Proficient in AI/ML/Gen AI frameworks (e.g., TensorFlow, PyTorch, Hugging Face, LangChain) & Vector DBs (e.g., Pinecone, Milvus). Proficient in implementing Agentic AI Frameworks (e.g. CrewAI, AutoGen and multi-agent orchestration workflow) Deep knowledge of OCI services including: OCI Data Science, OCI AI Services, OCI Gen AI Service, OCI Gen AI Agents, Oracle ATP, Data Flow (Apache Spark), OCI Functions, API Gateway, and Monitoring Strong understanding and practical application of: Prompt engineering, Fine-tuning and parameter-efficient tuning, Agentic orchestration workflows Experience with front end languages such as React, Angular or Javascript etc. Experience in Oracle ATP, 23ai Databases and vector queries Secondary Skill Working experience of implementing semantic matching, fuzzy logic, and similarity scoring algorithms (e.g., cosine similarity, Jaccard, Levenshtein distance) to drive intelligent entry matching in noisy or inconsistent data scenarios. Experience with Finance domain solutions, particularly around reconciliations, journal entry matching, or financial close processes. Understanding of Oracle Cloud Deployment, architecture, networking, Security and other essential components Good to have knowledge of Analytics and Data Science. We are looking for an experienced OCI AI Architect to lead the design and deployment of Gen AI, Agentic AI, and traditional AI/ML solutions on Oracle Cloud. This role requires a deep understanding of Oracle Cloud Architecture, Gen AI, Agentic and AI/ML frameworks, data engineering, and OCI-native services. The ideal candidate combines deep technical expertise in AI/ML and Gen AI over OCI with domain knowledge in Finance and Accounting.

About the Role: We are looking for an EIR- Content Strategy to lead Leaps content business. This role is a mix of Strategy and Execution in Content. This is hands on, Individual contributor role reporting directly to the founders. This is a high impact, high visibility, high growth opportunity. Roles and responsibilities: You will be setting up a stand alone business unit at Leap with full ownership, autonomy and decision making authority. Define content strategy - what content buckets to go after, how to build the content engine, and how to crack distribution. Set up the scalable processes for topic selection. Set up the scalable processes for fast content production. Build and own AI native workflows for content production and distribution. Ideal Persona would: Have held a key role in a content -first, content- heavy business. - We are looking for candidates where content marketing & content strategy & content-led-branding was front and center, a key component of the business model, not an also-ran, fringe department - Ideally someone who has seen both 0-1 and 1-100 scaling of a content -first business Have a deep obsession with Social Media algorithms (Instagram, tiktok, linkedin, youtube) and how they work (what they like, what they promote, how to hack the algorithm) Ideally have a well-enaged follower base of at least 2000 followers on at least one of their personal social media accounts Have experience in setting up processes for fast and repeatable content creation at scale. Have a deep curiosity about people, their behaviour and how to capture their attention. They should be able to figure out a content strategy which resonates with users while being in line with the companys brand. What will you be doing? We are now building our leadership team and would love to engage This is a great time to join the rocketship and participate in the upside - Broadly, You will have tearing-your-hair level complex & challenging problems to solve With massive upside if you solve them In a super fast paced environment that will challenge you With enough resources to be audacious And mentorship from an experienced founding team

About the Job : The Digital workforce team is part of Red Hats Data and AI organization. The team is focused on building and delivering strategic AI agents designed to augment human capabilities, accelerate workflows, and scale operations across the enterprise. In this role, you will work as a member of a highly dynamic, and fast-paced team. As part of the development team, youll need to be creative, motivated, and proficient in architecting and designing cutting-edge applications that leverage Generative AI. You will work closely with different teams, stakeholders, product owners, and program managers to design, document, and develop solutions. We are seeking talented engineers to spearhead the technology and design of key components within Red Hat's Digital Workforce, shaping the future of digital agents. The ideal candidate will possess strong technical abilities, a commitment to quality and open source, a drive for innovation, excellent communication and teamwork skills, and will excel in a dynamic, startup-like setting. What will you do? Architect, design, document, and develop applications in Python and frameworks like LangChain, LangGraph, LLamaStack. Architect and lead the implementation of Agentic AI applications. Architect and lead the implementation of scalable open-source solutions with distributed computing capabilities using Machine Learning models, running on OpenShift AI Architect and design new features with RAG, RAFT, GraphRAG, InstructLab, and their pipelines Develop and optimize retrieval-augmented generation (RAG) pipelines Collaborate with product owners, program managers, different teams, and engineering managers to analyze and clarify business requirements to implement data models and business logic Mentor, influence, and coach a distributed team of engineers Effectively communicate to stakeholders and project team members to ensure proper visibility of development efforts Review code merge requests from other team members for new features Build and deploy applications to Red Hat OpenShift Platform-as-a-Service (PaaS), public clouds, i.e., Google Cloud Platform, AWS, etc. Ensure non-functional requirements, including performance, scalability, resiliency, maintainability, security, etc., are met according to defined standards Resolve bugs, performance problems, and other issues with production applications What will you bring? Strong experience in a software engineering role Bachelor's degree in Computer Science, Computer Engineering or related field 10+ years of professional coding, at least a year using Python Excellent communication skills, solid written and verbal communication skills in English; ability to communicate effectively in a global team Problem-solving and troubleshooting skills including performing root cause analysis Understanding of web application infrastructure and fundamentals like REST and HTTP Understanding of public cloud concepts and development practices Knowledge of Distributed Systems Experience with LangGraph, LangChain, Autogen and/or Python/ Java-based AI libraries for GenAI applications Experience with continuous delivery (CD) like to build and deploy pipelines like Jenkins, Platform-as-a-Service (PaaS) like OpenShift/Kubernetes Presentations skills and public speaking skills for conferences and demos Enjoys solving challenging problems and working with emerging technologies The following are considered a plus: Experience with AI Agentic frameworks Experience with MCP servers Experience working with LLMs Experience in building Chatbots with Slack Personal qualities and communication: Communicate and influence for impact by bringing data to life via clear narratives and/or storytelling Communication skills and experience in interacting with cross functional business and engineering teams Capability in undertaking business needs analysis in direct consultation. Be a self-starter, displaying initiative in seeing needs, building functionality and leading insights for organizational change. Capability to develop a detailed understanding of our business requirements. Excellent communication, presentation, and writing skills.

ROLE DESCRIPTION The role of the Innovation CoE Director is primarily to set up and run the Digital Centre of Excellence, ensuring that it delivers its intended impact. This is broadly based on three areas of work on Thinking (Research), Doing (Implementation) and Being (Relationship / Ecosystem). The Director will have to personify all these three areas, with the team under him focusing on each of the three. Research The Director will ensure that the research local and national/global is carried out to bring relevant and contextual innovations to the Digital CoE. The Research Manager will be directly reporting to the Director. In this, he/she will have to look at both research from local sources of innovation as well as innovations that are national and global which can be adopted locally. Implementation The Director will ensure the implementation of the documented innovations through the Incubation process. The Operations Manager will be directly reporting to the Director. In this we anticipate a relationship with the downstream incubate companies which can implement the innovations seeded by the Digital CoE. Partnership / Ecosystem Understanding the local context and culture to assess and advance the innovation will be an important role of the Director. He/she will thus ensure that an innovation ecosystem is fostered, advancing regional development. This is a primary responsibility of the Digital CoE Director, where the person has to build relationships, mostly with corporates and other innovative bodies, focus on ecosystem creation involving local institutions and individuals, and manage the revenue and profitability of the CoE. Digital and Cross-Domain Working: In the context of the Digital Centre of Excellence, the innovations will focus on digital. Hence, the Director will require expertise, experience and passion in Digital. The Digital CoE is one of six such CoEs envisaged, a key remit of the Director will be the ability to look outside his CoE to link with other CoEs in the JECP. In some sense, the Digital CoE will act as a horizontal enabler for all other CoEs. Reporting Relationship: He or she will directly report to the Innovation Director, who will be the person responsible for the Innovation block and processes. In addition, the person will work closely with the Chief Operations Officer of Jagriti for overall financial and technical support. COMPETENCIES Thinking (Cognitive Ability): a. Curiosity in Context: Ability to understand the local circumstances of a small town or district and having the curiosity to look for new solutions and approaches b. Research mindset: Ability to go deep into areas that requires investigation, both in the local environment and the district as well as nationally and globally c. Sector ideation for Digital: Having the sector knowledge of Digital so that ideas can be understood, refined and progressed that will create local and national innovation Leading (Execution Orientation): a. Human centered approach: Ability to understand the problem from a human application point of view (design thinking) rather than only a technical or commercial perspective b. Ease with ambiguity for innovation: Ability to live with ambiguity as the innovation is researched and progressed, hand holding it till it gets into the innovation track c. Courage with humility: Courage to express point of view, holding and making a case for new ideas that will often require going against the grain, but doing it with full humility so that the person carries others with them Being (Connection/Relationship): a. Cultural sensitivity: Ability to soak in and adjust to the local culture, understanding and respecting it, so that the innovation is nested in the local culture and uses it to promote the innovation b. Ecosystem, Partnership mindset: Thinking of not one innovation, not just in Digital but in the other remaining CoE as they are stood up, as well as in the context of a regional development, accelerator like the JECP c. Commercial focus: A mindset of bringing revenues and over time creating a profitable sub- business under the overall innovation agenda, through revenue sources from local, national and international partnerships as well as creation of IP Overall, the person should have a ‘transformative courage’ and ‘conviction attitude’. Knowledge The person should have a broad understanding of digital technologies and their wide applications. From his / her experience or expertise, the person should have advanced knowledge in some of the digital technologies like enterprise, data or mobile. Other knowledge of AI, Big Data, Natural Language Processing, and connectivity solutions, would also be appreciated. Typically, Digital has been used to automate businesses in metro and Tier 1 districts. The innovations in the Middle usually are more related to making connections, with people, places and technologies. Experience The person should have at least 5-8 years of relevant experience working in a corporate or an incubator or accelerator or organization with a focus on digital. People with Digital Innovation experience in reputed educational institutions like IITs, those who have experience in digital corporations and wanting to understand digital in real India, those who have experience in starting a digital venture related to smaller towns and districts, experience in incubators and accelerators with a digital experience are four typical categories of experiences suited for this role. Qualification At least a Bachelor’s degree (undergraduate) from a reputed institute. A business degree is not needed, but it would support the candidature.

Model Fine-Tuning: Fine-tune LLMs (e.g., OpenAI, Hugging Face, open-source models) using domain-specific datasets and advanced techniques (LoRA, PEFT, QLoRA). Prompt Engineering & Optimization: Design, test, and refine prompts to maximize output quality, consistency, and structure. Embedding Models: Build and utilize embedding-based systems (e.g., OpenAI Embeddings, Sentence-BERT) for semantic matching, clustering, and vector search. Data Pipeline Development: Design scalable pipelines for ingesting, cleaning, and preparing unstructured text data for model training and inference. Experimentation & Research: Rapidly prototype, benchmark, and iterate on new approaches using state-of-the-art LLM and NLP techniques. Model Deployment: Optimize models for real-time or batch inference in production environments, with a focus on speed, cost-efficiency, and scalability. Cross-functional Collaboration: Work closely with product and engineering teams to integrate AI models into production workflows. Research & Innovation: Stay abreast of the latest developments in AI and machine learning to continuously improve our analytical capabilities.

We are seeking a highly experience and motivated Lead Engineer with deep expertise in Generative AI, Machine Learning and Artificial Intelligence . The ideal candidate will drive the design, development and deployment of AI/ML solutions, lead technical teams and collaborate with cross-functional stakeholders to solve real-world problems using cutting-edge technologies. Key Responsibilities: Lead and mentor a team of AI/ML engineers and researchers. Architect and deploy scalable Generative AI solutions (e.g., LLMs, diffusion models, transformers). Design and implement end-to-end machine learning pipelines, including data preprocessing, model training, validation, and deployment. Work with large-scale datasets to develop, fine-tune, and evaluate models. Collaborate with product, design, and engineering teams to integrate AI capabilities into applications. Stay current with the latest research, tools, and trends in AI/ML, and recommend adoption where applicable. Conduct technical reviews and provide guidance on best practices in AI model development. Ensure ethical, secure, and responsible AI development. Must-Have Skills & Experience: 510 years of hands-on experience in AI/ML, including leadership responsibilities. Strong understanding of deep learning , NLP , computer vision , or generative models . Proven experience with Generative AI frameworks (e.g., OpenAI, HuggingFace, LangChain, Diffusers). Proficient in ML libraries and tools such as TensorFlow , PyTorch , scikit-learn , Keras , etc. Solid programming skills in Python ; experience with other languages like Java , C++ , or Go is a plus. Familiarity with cloud platforms (AWS, GCP, Azure) and MLOps practices. Experience deploying models in production environments (APIs, microservices, containers). Strong problem-solving, communication, and analytical skills. Nice-to-Have: Research contributions or publications in AI/ML conferences or journals. Experience working with multi-modal models (text + image + audio). Knowledge of Reinforcement Learning , Prompt Engineering , or AutoML . Exposure to data governance , model explainability , and AI ethics . What we Offer Competitive salary Medical Benefits/Accident Cover Flexi Office Working Hours Fast paced start up

We are looking for an experienced and passionate Data Science Trainer who can deliver high-quality training to students, working professionals, and corporate clients. The ideal candidate should be proficient in the latest tools and technologies in the data science field and have a passion for teaching and mentoring. Key Responsibilities: Deliver Engaging Training Sessions: Conduct in-depth, interactive training sessions (online/offline) on core Data Science topics, including Python programming, statistics, machine learning, and data visualization. Curriculum Development: Design, structure, and regularly update course content, projects, and assessments based on current industry standards and student needs. Hands-On Project Guidance: Mentor students on capstone and real-time projects using real-world datasets to strengthen their practical skills and portfolio. Technical Evaluation: Develop and assess assignments, quizzes, and case studies to measure students progress and provide constructive feedback. Interview Preparation: Conduct mock interviews, technical tests, and soft skills sessions to prepare students for job placements in data-related roles. Technology Upgradation: Stay updated with evolving tools and technologies like TensorFlow, Power BI, Tableau, Spark, and integrate them into training modules as needed. Mentorship & Support: Provide personalized mentorship and career guidance to help learners overcome challenges and reach their goals. Corporate & Workshop Training (Optional): Conduct specialized workshops, webinars, and corporate training sessions based on demand. Key Skills Required: Strong knowledge of Python , NumPy , Pandas , Matplotlib , Seaborn Proficiency in Machine Learning (Supervised & Unsupervised algorithms) Hands-on experience with Scikit-learn , TensorFlow , or Keras Familiarity with SQL , Statistics , Data Wrangling , and Data Visualization Exposure to Deep Learning , NLP , and Big Data Tools is a plus Experience with platforms like Jupyter Notebook , Google Colab Strong communication and presentation skills Why Join Uncodemy? Work with a passionate and skilled team of trainers. Opportunity to shape the careers of aspiring professionals. Flexible working hours and a positive work environment.

Key Responsibilities As the Lead Data Scientist, your role will require you to work closely with subject matter experts in clinical and financial administration across practices, health systems, hospitals, and payors. Your machine learning projects will span the entire healthcare revenue cycle - from clinical encounters through financial transaction completion, extending into back-office operations and payer interactions. You will lead the development of predictive machine learning models for Revenue Cycle Management analytics, along the lines of: Payer Propensity Modeling - predicting payer behavior and reimbursement likelihood Claim Denials Prediction - identifying high-risk claims before submission Payment Amount Prediction - forecasting expected reimbursement amounts Cash Flow Forecasting - predicting revenue timing and patterns Patient-Related Models - enhancing patient financial experience and outcomes Claim Processing Time Prediction - optimizing workflow and resource allocation Additionally, we will work on emerging areas and integration opportunitiesfor example, denial prediction + appeal success probability or prior authorization prediction + approval likelihood models. You will reimagine how providers, patients, and payors interact within the healthcare ecosystem through intelligent automation and predictive insights, ensuring that providers can focus on delivering the highest quality patient care. VHT Technical Environment Cloud Platform : AWS (SageMaker, S3, Redshift, EC2) Development Tools : Jupyter Notebooks, Git, Docker Programming : Python, SQL, R (optional) ML/AI Stack : Scikit-learn, TensorFlow/PyTorch, MLflow, Airflow Data Processing : Spark, Pandas, NumPy Visualization : Matplotlib, Seaborn, Plotly, Tableau Required Qualifications You should be someone who thrives on solving complex problems and has a natural attraction to ill-defined challenges that seem intractable, transforming them into elegant data science solutions. You find yourself comfortable in the middle of what seems to be chaos, knowing you can discover patterns and create order through data. You want to create a meaningful impact by solving complex healthcare problems through your passion for data science and machine learning. Advanced degree in Data Science, Statistics, Computer Science, Mathematics, or a related quantitative field 5+ years of hands-on data science experience with a proven track record of deploying ML models to production Expert-level proficiency in SQL and Python , with extensive experience using standard Python machine learning libraries (scikit-learn, pandas, numpy, matplotlib, seaborn, etc.) Cloud platform experience, preferably AWS, with hands-on knowledge of SageMaker, S3, Redshift, and Jupyter Notebook workbenches (other cloud environments acceptable) Strong statistical modeling and machine learning expertise across supervised and unsupervised learning techniques Experience with model deployment, monitoring, and MLOps practices Excellent communication skills with the ability to translate complex technical concepts to non-technical stakeholders Preferred Qualifications US Healthcare industry experience , particularly in Health Insurance and/or Medical Revenue Cycle Management Experience with healthcare data standards (HL7, FHIR, X12 EDI) Knowledge of healthcare regulations (HIPAA, compliance requirements) Experience with deep learning frameworks (TensorFlow, PyTorch) Familiarity with real-time streaming data processing Previous leadership or mentoring experience Reach me via mail Sathishkumar.b@veehealthtek.com or +91-9003727017. Kindly take step forward on helping to refer your friends who are seeking for this opportunity.

We are looking for QA - who has worked on Selenium Automation Testing using RPA who is an expert in QA with knowledge on latest trends on AI - how RPA workflows with testing. Someone with Mentoring capacity and lead a team of juniors and guide them as well. Primary Skill - Selenium Automation Testing using RPA

Position overview Work in an innovative and fast paced AI application development team to conceptualize and execute projects to leverage the power of AI/ML and analytics. The work will be related to producing business outcomes for Cloud and Cybersecurity products and services of Novamesh, a wholly owned subsidiary of Tata Communications Ltd. Success in this role requires a mix of data science skills, appreciation of the business, and ability to work across teams. A special focus area of this role would be to identify and execute ideas for creating monetizable product differentiators by working with Domain Experts from individual product teams and acquire domain skills in the process. Detailed job description Develop, Test, and Deploy ML/AI models for various products 10 to 12 Years of industry experience with demonstratable outcomes in field of Data Science Perform data preprocessing, feature engineering and ML/DL model evaluation Optimize and fine-tune models for performance and scalability Good understanding of Statistical, ML, AI models Good understanding of NLP concepts and projects involving entity recognition, text classification, and language modelling like GPT Build and refine RAG models to improve information retrieval and answer generation. Integrate RAG methods into existing applications to enhance data accessibility and user experience. Work closely with cross-functional teams including software engineers, product managers, and domain experts. Document processes, methodologies, and model development for internal and external stakeholders. Go-getter attitude and will to Make it happen" Qualification and Skills Bachelor or Master’s degree in Computer Science, Data Science, Statistics, Mathematics, or a related field from reputed institutions. Strong knowledge of probability and statistics. Expertise in machine learning and deep learning skills Hand on experience with GenAI, LLMs and SLMs Strong programming skills Python, PyTorch, Sci-kit, NumPy, Gen AI tools like langchain/llamaIndex , OpenAI SQL, flat file DB, Datalakes, data stores, data frames (Pandas, Cudf etc.) Working knowledge of MLOPs principles and implementing projects with Big Data in batch and streaming mode. Good knowledge of Data Engineering and working knowledge of the same Excellent problem-solving skills and a proactive attitude. Excellent communication skills and teamwork abilities

At Jobs Territory, we are committed to empowering women to restart their professional journeys . Were looking for a passionate and driven AI Developer Intern to join our team and help build intelligent, task-oriented systems. This internship offers the opportunity to work on real-world applications of AI, from natural language understanding to the deployment of smart agents on web and mobile platforms. Key Responsibilities: Develop intelligent AI-driven systems using machine learning algorithms and frameworks. Work on Natural Language Processing (NLP) and Conversational AI to build agents that interact meaningfully with users. Collaborate with developers to integrate AI features into web and mobile applications. Perform data analysis to refine model accuracy and system performance. Test, debug, and optimize AI solutions to ensure efficient and reliable operation. Keep up with the latest AI/ML research and suggest innovative solutions for ongoing projects. Who Can Apply: We are looking for students or recent graduates who are enthusiastic about AI and have a strong technical foundation. Eligibility Criteria: Pursuing or recently completed a B.Tech , M.Tech , MCA , or related program in Computer Science or a similar field. Proficient in Python , with hands-on experience or strong knowledge of TensorFlow , PyTorch , or similar ML frameworks. Familiar with NLP , machine learning , and reinforcement learning concepts. Understanding of core AI algorithms and basic data analysis techniques. Strong problem-solving skills and the ability to work independently or as part of a collaborative team.

TO TEACH MACHINE LEARNING--AI DATA SCIENCE--AI CYBER SECURITY COMPUTER ENGINEERING SALARY RANGE:4LAKHS TO 18LAKHS

AI ML Engineer LLM and NLP Job Summary: We are seeking a highly skilled and creative AI ML Engineer – LLM and NLP with deep expertise in artificial intelligence , natural language processing , and prompt design for large language models (LLMs). This role is crucial in crafting, optimizing, and scaling interactions with advanced AI systems to improve performance, user experience, and business outcomes across various applications. Key Responsibilities: Design, test, and refine prompts to optimize performance of LLMs such as GPT-4, Claude, Gemini, and open-source models. Collaborate with cross-functional teams (product, design, engineering, marketing) to develop AI-driven features and tools. Conduct rigorous experimentation and benchmarking of prompts and AI outputs for accuracy, safety, and usability. Automate prompt workflows and integrate prompt chains with APIs and tool stacks. Fine-tune models or build retrieval-augmented generation (RAG) pipelines when needed. Stay current with advancements in generative AI, NLP, and prompt engineering techniques. Contribute to building internal documentation, style guides, and prompt libraries. Required Skills & Qualifications: Bachelor's or Master’s degree in Computer Science, Data Science, Linguistics, or a related field (PhD a plus). 2+ years of experience working with LLMs, AI systems, or NLP frameworks. Strong understanding of transformer models, prompt engineering, and zero/few-shot learning. Must have experience with Prompt response and design Experience using OpenAI (ChatGPT, GPT API), Anthropic, Cohere, Hugging Face, or similar platforms. Proficiency in Python and use of AI libraries (LangChain, LlamaIndex, etc.). Excellent writing skills and a sensitivity to language nuance, tone, and context. Analytical thinker with a structured approach to testing and evaluation. Preferred Qualifications: Familiarity with fine-tuning LLMs or using vector databases for retrieval-based prompting. Experience working on AI-driven products in SaaS, education, enterprise, or creative tools. Understanding of prompt security, safety, and mitigation strategies for bias or hallucinations. Background in UX, technical writing, or content design is a plus.

Date of Interview: 4th June 2025 - 14th June 2025 Time of Interview: 10:00 AM 4:30 PM Address: NetEdge Tower C - 56/39, Sector - 62 NOIDA - 201 301 Role & responsibilities : To carry out research in the area of AI, especially in Distributed Artificial Intelligence and Multi-Agent Systems Build a Repository of AI/ML models for various enterprise tasks. Work on industry-specific Gen AI Solutions Work with APIs using open-source languages like Python, PHP, and their frameworks Work on Developing Algorithms, Multi-Modal Solutions Working on Different Open LLMs to Solve Industry-Specific Problems Preferred candidate profile: Must have completed BTech or MTech (Computer Science) in 2025 or earlier Regular Degree with Good Academic Records Proficient in Python Programming and Tensorflow The person should be willing to multitask and committed to learning Pleasing Personality & Good Communication Skills Smart Thinking Good MS Office Skills Active in Extra Curricular Activities Educational Qualifications : B.Tech in Computer Science Must have scored 85% marks or CGPA of 8.5 till the last examination. Stipend Stipend will paid to qualified candidates for the entire duration of the Internship. It may be increased after 3 months for exceptional candidates. On successful completion of 6 months internship, a job offer will be made to deserving candidates. Confirmation Note: If you plan to attend the Interview, please email Kirti@netedgecomputing.com or WhatsApp 78388-37993. You can contact Kirti by phone/WhatsApp at 78388-37993 if you have any questions.

Role - Senior IT Consultant Exp Req-Min 8 Years in Finance & Accounts & IT domain Loc-Bangalore Must Have exp in |Digital Transformation| Implementation | AI, Automation CTC- Upto 22 - 25LPA WFO | US Shifts | 5 Day's working Immediate Joiners

Role : MLOps Engineer Location - Coimbatore Mode of Interview - In Person Key words -Skillset AWS SageMaker, Azure ML Studio, GCP Vertex AI PySpark, Azure Databricks MLFlow, KubeFlow, AirFlow, Github Actions, AWS CodePipeline Kubernetes, AKS, Terraform, Fast API Responsibilities Model Deployment, Model Monitoring, Model Retraining Deployment pipeline, Inference pipeline, Monitoring pipeline, Retraining pipeline Drift Detection, Data Drift, Model Drift Experiment Tracking MLOps Architecture REST API publishing Job Responsibilities: Research and implement MLOps tools, frameworks and platforms for our Data Science projects. Work on a backlog of activities to raise MLOps maturity in the organization. Proactively introduce a modern, agile and automated approach to Data Science. Conduct internal training and presentations about MLOps tools’ benefits and usage. Required experience and qualifications: Wide experience with Kubernetes. Experience in operationalization of Data Science projects (MLOps) using at least one of the popular frameworks or platforms (e.g. Kubeflow, AWS Sagemaker, Google AI Platform, Azure Machine Learning, DataRobot, DKube). Good understanding of ML and AI concepts. Hands-on experience in ML model development. Proficiency in Python used both for ML and automation tasks. Good knowledge of Bash and Unix command line toolkit. Experience in CI/CD/CT pipelines implementation. Experience with cloud platforms - preferably AWS - would be an advantage.

Role –Senior Gen AI Engineer Location - Coimbatore Mode of Interview - In Person Job Description: Collect and prepare data for training and evaluating multimodal foundation models. This may involve cleaning and processing text data or creating synthetic data. Develop and optimize large-scale language models like GANs (Generative Adversarial Networks) and VAEs (Variational Autoencoders) Work on tasks involving language modeling, text generation, understanding, and contextual comprehension. Regularly review and fine-tune Large Language models to ensure maximum accuracy and relevance for custom datasets. Build and deploy AI applications on cloud platforms – any hyperscaler Azure, GCP or AWS. Integrate AI models with our company's data to enhance and augment existing applications. Role & Responsibility Handle data preprocessing, augmentation, and generation of synthetic data. Design and develop backend services using Python or .NET to support OpenAI-powered solutions (or any other LLM solution) Develop and Maintaining AI Pipelines Work with custom datasets, utilizing techniques like chunking and embeddings, to train and fine-tune models. Integrate Azure cognitive services (or equivalent platform services) to extend functionality and improve AI solutions Collaborate with cross-functional teams to ensure smooth deployment and integration of AI solutions. Ensure the robustness, efficiency, and scalability of AI systems. Stay updated with the latest advancements in AI and machine learning technologies. Skills & Experience Strong foundation in machine learning, deep learning, and computer science. Expertise in generative AI models and techniques (e.g., GANs, VAEs, Transformers). Experience with natural language processing (NLP) and computer vision is a plus. Ability to work independently and as part of a team. Knowledge of advanced programming like Python, and especially AI-centric libraries like TensorFlow, PyTorch, and Keras. This includes the ability to implement and manipulate complex algorithms fundamental to developing generative AI models. Knowledge of Natural language processing (NLP) for text generation projects like text parsing, sentiment analysis, and the use of transformers like GPT (generative pre-trained transformer) models. Experience in Data management, including data pre-processing, augmentation, and generation of synthetic data. This involves cleaning, labeling, and augmenting data to train and improve AI models. Experience in developing and deploying AI models in production environments. Knowledge of cloud services (AWS, Azure, GCP) and understanding of containerization technologies like Docker and orchestration tools like Kubernetes for deploying , managing and scaling AI solutions Should be able to bring new ideas and innovative solutions to our clients

Responsibilities: * Develop generative AI models using Python & Large Language Models. * Optimize ML algorithms for performance and accuracy. * Collaborate with cross-functional teams on project delivery.

Software ARCHITECT - PRODUCT MNC - Urgent Hiring!!! Are you passionate about crafting scalable, cloud-native architectures? Do you thrive at the intersection of AI, cloud, and data platforms? Join us at Integra Connect, where we are transforming healthcare technology through intelligent solutions and innovation. LOCATION : BANGLORE - HYBRID What You'll Do: Architect end-to-end systems using Azure, Snowflake, Python, and .NET Lead AI/ML architecture and drive responsible AI practices Design scalable data platforms & ETL pipelines Mentor cross-functional engineering teams Set best practices for performance, security, and cloud optimization What Were Looking For: 8+ years in software development, 3+ years in architecture Deep expertise in Azure DevOps, AKS, Snowflake, AI/ML, and .NET/C# Experience in cloud-native architectures and healthcare systems is a plus Strong leadership, strategic thinking, and problem-solving skills At Integra Connect, you’ll be part of a team enabling specialty healthcare practices to thrive in a value-based care world — leveraging modern tech to make real impact. Hybrid | Competitive Benefits | Growth-Focused Culture Ready to architect the future of healthcare? Apply now or DM me for more info!

Basic qualification: Bachelors degree in Computer Science, Data Science, Artificial Intelligence, or a related field. 0-1 year of experience in ML/AI (internship, academic project, or freelance experience acceptable). Exposure to cloud services (AWS, Azure, or GCP). Familiarity with ML experiment tracking (e.g., MLflow, Weights & Biases). Basic knowledge of model deployment frameworks (Flask, FastAPI, Streamlit). Experience with Git/GitHub and Agile tools (e.g., Jira, Trello). Technical Skills: Proficiency in Python and key libraries (NumPy, Pandas, Scikit-learn, TensorFlow, PyTorch). Basic understanding of machine learning concepts (e.g., classification, regression, neural networks). Exposure to generative AI models such as GPT, GANs, VAEs, or diffusion models. Familiarity with tools such as Hugging Face Transformers, OpenAI APIs, or LangChain. Experience with data formats like CSV, JSON, and basic SQL knowledge. Understanding of REST APIs and basic model integration. Soft Skills: Strong communication and collaboration abilities. Eagerness to learn and work in a fast-paced environment. Strong problem-solving and analytical thinking. Attention to detail and documentation practices. Roles and Responsibilities: Assist in designing, developing, and deploying machine learning models for structured and unstructured data. Fine-tune and evaluate generative AI models such as GPT, Gemini, LLAMA, etc. Perform data collection, cleaning, transformation, and feature engineering. Contribute to prompt engineering, embeddings, and optimization of generative pipelines. Support the integration of AI models into production systems or APIs. Write clean, testable, and efficient Python code using ML/AI libraries. Track and evaluate model performance using appropriate metrics and tools. Collaborate closely with cross-functional teams (engineering, data, product). Document workflows, model experiments, and pipeline processes. Stay current with the latest trends and research in machine learning and generative AI.

Job Title: Senior Architect AI Platform & Engineering Location: Bangalore Mode: Work from Office Job Summary: We are seeking an experienced Senior Architect AI Platform & Engineering to lead the architectural design and technical strategy of our AI-driven platform. The ideal candidate will have a deep understanding of AI/ML frameworks, AI model deployment, cloud platforms, distributed computing, and solution architecture. This role demands a strong background in solution architecture and hands-on expertise in AI/ML technologies, ensuring the scalability, security, and efficiency of our AI products and platform. Key Responsibilities: 1. AI Platform and Product Architecture: • Define and design the end-to-end architecture of an AI-driven platform, ensuring scalability, reliability, and security. • • • • Architect and design AI/ML pipelines, inference engines, and model serving infrastructure. Develop microservices-based architecture to support AI workloads and data-driven applications. Ensure seamless integration of AI models into the platform and applications. Define and implement MLOps best practices to streamline AI/ML lifecycle management. 2. AI/ML Frameworks & Model Deployment: • Work with TensorFlow, PyTorch, Hugging Face, ONNX, and other AI frameworks to optimize model training and deployment. • • • Architect model-serving solutions using KServe, TensorFlow Serving or equivalent. Optimize AI model performance for low-latency, high-throughput inference. Implement AI governance and compliance frameworks for responsible AI practices. 3. Cloud & Infrastructure: • • • • Design AI platform solutions for AWS, OCI, GCP, and hybrid/multi-cloud environments. Leverage Kubernetes, Docker, and serverless computing to manage AI workloads efficiently. Implement data lake, feature store, and real-time analytics architectures. Design and optimize GPU/TPU-based infrastructure for AI workloads. 4. Solution Architecture & Engineering Leadership: • • Provide technical leadership in designing AI solutions, working closely with product managers, data scientists, and engineering teams. Collaborate with product management, data scientists, and engineering teams to align AI architecture with business objectives. • • • • Develop high-level and detailed solution architecture for AI-driven applications and platforms. Lead proof-of-concepts (PoCs) and pilot projects to validate AI-driven solutions. Provide technical mentorship and guidance to engineering teams. Conduct architectural reviews and ensure adherence to best practices and industry standards. 5. AI Security & Compliance: • • • Design AI architectures with a strong focus on data security, privacy, and compliance (GDPR, HIPAA, SOC2 etc.). Implement secure model training, explainability (XAI), and adversarial attack mitigation techniques. Ensure secure API integrations for AI models and services. Required Qualifications & Skills: Key Technical Skills: • • • • • • • AI/ML Architecture: Proven expertise in designing scalable AI/ML architectures, including deep learning, reinforcement learning, NLP, and computer vision. Cloud & Infrastructure: Hands-on experience with cloud-native architectures on AWS, Google Cloud, and Azure. Containerization & Orchestration: Proficiency in Docker, Kubernetes, and container orchestration for scalable AI/ML deployments. Data Engineering & MLOps: Strong understanding of data pipelines, big data management (Kafka, Spark, Hadoop), and MLOps tools (MLflow, Kubeflow, SageMaker, Vertex AI). Microservices & APIs: Skilled in designing high-performance, scalable, and maintainable microservices architectures. Security & Compliance: In-depth knowledge of AI security best practices, model governance, encryption, and access control in cloud and on-prem environments. DevOps & CI/CD: Experience with CI/CD pipelines, infrastructure as code (Terraform, CloudFormation), and automated AI/ML deployment workflows. • • LLMs & Generative AI: Exposure to Large Language Models (LLMs) and Generative AI applications. Enterprise AI & Product Management: Experience in developing and managing AI-driven enterprise solutions and AI product lifecycle management. Experience & Qualifications: • • • • • • • Experience: Minimum 7 years of experience in software engineering, AI/ML architecture, and platform engineering, with at least 5 years in as an architect. Educational Qualification: Masters degree in Computer Science, Engineering, AI, or a related technical field. Architecture & Design: Proven experience in designing and architecting scalable, distributed, and secure platforms for AI/ML applications at scale. AI/ML Expertise: Strong background in developing and deploying machine learning models in production, and experience with AI frameworks such as TensorFlow, PyTorch, and Keras. Cloud Expertise: Hands-on experience with cloud-native architecture, containerization, and serverless computing in cloud environments. Leadership: Proven experience in leading technical teams, mentoring engineers, and driving architectural decisions across large-scale projects. Certifications in cloud platforms (AWS, Azure, GCP) or AI-related technologies. Soft Skills & Leadership: • • Strong problem-solving and analytical skills. Ability to communicate technical concepts effectively to both technical and non-technical stakeholders. • • Experience leading and mentoring engineering teams. Ability to collaborate with cross-functional teams, including product, engineering, and data science teams. • Strong documentation and presentation skills. Why Join Us? • • • • Work on cutting-edge AI/ML technologies in a fast-paced and innovative environment. Collaborate with industry experts, data scientists, and AI researchers. Competitive compensation and career growth opportunities. A culture of continuous learning, innovation, and excellence. If you are passionate about AI and want to drive the next-generation AI platforms, we would love to hear from you!