5222 Artificial Intelligence Jobs - Page 19

Job Description (JD) for a Machine Learning Engineer We are seeking a Machine Learning Engineer to join our team and help build intelligent systems that solve complex real-world problems. The ideal candidate will have strong experience in developing ML models, working with large datasets, and deploying scalable machine learning solutions in production environments. Key Responsibilities : Design, build, and deploy applications that leverage machine learning and LLMs (e.g., GPT, LLaMA, Claude, Mistral) Evaluate and benchmark different LLMs for specific use cases (e.g., summarization, Q&A, code generation, domain-specific reasoning) Implement prompt engineering, fine-tuning, or retrieval-augmented generation (RAG) techniques as needed Develop end-to-end pipelines from data preprocessing to model integration into production systems Collaborate with product, research, and backend teams to build user-facing ML-powered features Write clean, modular, and well-documented Python code Ensure application scalability, reliability, and performance Stay up-to-date with the latest advancements in AI, LLMs, and ML tooling Required Qualifications: Education : Bachelor's or Master's degree in Computer Science, Software Engineering, or a related field 2+ years of experience in Python software development and applied ML. Strong understanding of machine learning principles and workflows.

Skills required: Strong technical foundation in AI/ML, Data Science, Generative AI, AI Tools and Prompt Engineering. Ability to guide students in building projects and portfolios in relevant technologies. Must be able to confidently explain and simplify any concept in the mentioned technologies for diverse age groups and academic levels. Excellent communication skills in English and Hindi (both verbal and written). Strong planning and time management abilities. Strong public speaking and presentation skills Comfortable handling large groups and tailoring delivery methods to suit different institutions. Excellent stakeholder management handling clients, academic institutions, and internal teams. Willingness to take up training responsibilities as required. Role & responsibilities Lead Training Sessions: Deliver engaging and practical training sessions on AI/ML, Data Science, Generative AI, AI tools, and Prompt Engineering across colleges, schools, and premier institutions . Mentorship & Team Training: Train, guide, and mentor junior trainers from PHN Technology, ensuring content and delivery consistency. Content Development: Develop and continuously update training materials, live projects, and demos in line with current trends in AI/ML, Data science, GenAI Travel Readiness: Willingness and ability to travel extensively across India for conducting workshops and sessions as per schedule. Preferred candidate profile We are looking for a passionate and technically sound professional with a strong foundation in AI/ML, Data Science, Generative AI, AI tools, and Prompt Engineering . The ideal candidate should have a minimum of 5+ years of relevant experience in teaching, corporate training, or industry roles. A strong command over communication (both verbal and written) in English and Hindi is essential, along with the ability to clearly explain and simplify complex concepts to learners across diverse age groups and academic levels. Candidates should possess excellent public speaking and presentation skills , and be comfortable delivering sessions to large groups while tailoring the content as per institutional needs.

Description: Globallogic is looking for enthusiastic and self-motivated freshers to join our team on a contractual basis. This is an excellent opportunity to gain hands-on experience and build a strong foundation in a professional work environment. Requirements: Data annotation, classification, evaluation and computer vision capabilities along with good communication skills both oral and written Job Responsibilities: Data annotation, classification, evaluation and computer vision capabilities along with good communication skills both oral and written What We Offer: Exciting Projects: We focus on industries like High-Tech, communication, media, healthcare, retail and telecom. Our customer list is full of fantastic global brands and leaders who love what we build for them. Collaborative Environment: You Can expand your skills by collaborating with a diverse team of highly talented people in an open, laidback environment — or even abroad in one of our global centers or client facilities! Work-Life Balance: GlobalLogic prioritizes work-life balance, which is why we offer flexible work schedules, opportunities to work from home, and paid time off and holidays. Professional Development: Our dedicated Learning & Development team regularly organizes Communication skills training(GL Vantage, Toast Master),Stress Management program, professional certifications, and technical and soft skill trainings. Excellent Benefits: We provide our employees with competitive salaries, family medical insurance, Group Term Life Insurance, Group Personal Accident Insurance , NPS(National Pension Scheme ), Periodic health awareness program, extended maternity leave, annual performance bonuses, and referral bonuses. Fun Perks: We want you to love where you work, which is why we host sports events, cultural activities, offer food on subsidies rates, Corporate parties. Our vibrant offices also include dedicated GL Zones, rooftop decks and GL Club where you can drink coffee or tea with your colleagues over a game of table and offer discounts for popular stores and restaurants!

Technical Lead / Project Coordinator AI Automation Integration Location: Reliance Corporate Park (RCP), Navi Mumbai Work Type: On-site role, stationed primarily at designated residences Experience: 3–7 years in system integration, AV/AI hardware deployment, or smart home automation with Biamp, Crestron, Lutron, HVAC, etc. About the Role: We’re looking for a hands-on Technical Lead with experience in AI-powered systems integration for ultra-premium smart homes. This role is responsible for coordinating the installation and configuration of microphones, speakers, digital signal processors (DSPs), GPU-based servers , and other supporting AV or AI hardware across specific residences. You will be the bridge between AI engineering and on-ground execution , working with vendors/installers to ensure optimal system performance and deployment consistency. Troubleshooting capability is optional, but leadership and coordination skills are a must. Key Responsibilities: AI/AV Hardware Integration: Supervise and coordinate the installation of microphones, speakers, DSPs, AI servers with GPUs , and related components Ensure correct hardware configuration to support AI-driven voice control, media processing, or home automation features Work closely with internal product/AI teams to align field implementation with system design Project Execution & Vendor Management: Lead a team of installers, electricians, and third-party vendors , ensuring timely and quality execution Read and interpret architectural and MEP layouts to plan equipment placement and wiring paths Validate and assess vendor BoQs and technical budgets , flagging deviations or inefficiencies Coordinate with AV consultants, architects, and civil teams to integrate systems within the interior design plan System Validation & Reporting: Test and verify correct system behaviour post-installation Prepare documentation for equipment specs, placement, wiring diagrams, and usage logs Report progress and challenges regularly to internal management and AI product leads (Optional) Assist with basic troubleshooting of devices if escalated Who You Are: 3–7 years in technical delivery of AV/AI systems, home automation, or integrated environments Familiarity with Biamp microphones, speakers, DSPs, and GPU server hardware is essential Comfortable leading field teams and vendor crews through detailed install plans Able to read architectural/MEP drawings and align technical needs accordingly Presentable and mature in communication, with the ability to interface with senior management Troubleshooting skills (basic-to-intermediate) are a plus, but not mandatory Preferred Experience: Projects involving voice-enabled AI , agentic assistants, or smart-home platforms Background in media rooms, immersive environments, or AV-intensive spaces Experience managing hardware rollout in HNWI or premium residences

Job Title / Primary Skill: AiML Architect Management Level: G150 Years of Experience: 8 to 14 years Job Location: Bangalore/Kochi (Hybrid) Must Have Skills: AiMl, NLP, Machine Learning, Deep learning, Python Educational Qualification: BE/BTech/ MTech/ MCA (Minimum bachelors degree) Job Description Develop fit for purpose AIML models/algorithms/processes to address pharma/healthcare applications and innovative products upon completion of prototypes followed by the building of production grade algorithms/automation engines for client deliverables. Test for viability to deliver final products to clients. Able to bring newly researched ideas to reality quickly and on a large scale. Design, build, test, and deliver products from post-prototype to client delivery. Essential Functions Assists with the ongoing development and implementation of an enterprise architecture. May devise and present business cases and program release plans to senior management with priority recommendations to maintain and evolve this architecture. Builds effective business relationships with business line managers and provides technical and system expertise as input to product concepts. May assist product development management to define IT strategic direction and assists in the mapping of projects to that strategic direction whilst ensuring product capabilities and process improvements are delivered over time within the framework of the IQVIA enterprise architecture. Participates in cross-functional product development teams, may also act as a consultant to provide system and technical advice. Keeps up to date with technology changes and identifies opportunities for implementation in future systems. Participates in R&D projects and may run those projects in compliance with standard project management practices. May mentor and assist lower-level architects and business analysts. Qualifications 8+ years of experience in engineering roles with team management experience 5-7 relevant years experience on NLP, Machine Learning and Deep learning 5-7 relevant years of experience on Python Extensively work on NLP applications, ability to work on Machine learning model, Deep learning development Knowledge of LLMs, fine tuning and deployment Experience annotated datasets for Supervised Learning methods and correction. Experience on text to transform natural language into useful features. Find and implement the right algorithms and tools for NLP tasks. Perform statistical analysis of results and refine models. Extend ML libraries and frameworks to apply in NLP tasks. Experience on ORM, SQL Alchemy, Alembic is a must. Experience on Writing on effective and scalable code Experience on Unit Testing using Pytest or equivalent framework. A deep understanding and multi-process architecture and the threading limitations of Python. Familiarity with server-side templating languages including Jinja 2 and Mako is good to have. Experience on REST API, Flask API, Fast API is must, Django or Pyramid framework is good to have. Knowledge of NER, Knowledge graphs is good to have. Education Qualification Master's Degree masters degree in Machine Learning, Statistics, Computer Science, Physics, Math, or related field

We are looking for enthusiastic and trained fresher candidates who have hands-on experience working on Python-based AI projects, either through internships, academic projects, or certifications.

Role & responsibilities: Strong interest and experience in development platforms, AI/ML, CI/CD, infrastructure or making products for technical teams Experience with system, API, infrastructure design using cloud concepts such as storage volumes, private networks, load balancers, virtual machines Experience in a fast-paced, high growth tech environment building and scaling internal platforms using Javascript, Typescript, or Go Experience shipping products at scale and on-time, with a focus on the customer

OVERVIEW: The Project Manager is a results-driven and innovative project leader within DataForce. The Senior Project Manager is responsible for leading successful execution of the life cycle of a range of AI-Data projects, through the utilization of expertise and technical skills to manage project budgets, timelines, and quality requirements. The Project Manager has accountability for fostering professional client relationships, managing and coordinating external vendors, and leading and collaborating with cross-functional project teams and partners. The Project Manager is ultimately responsible for the quality of work, profitability, and performance of their projects. DESCRIPTION: Oversee all aspects of the management of projects from hand-off through project completion to ensure project success against defined KPIs. Develop and maintain project plans, workflows, guidelines, and resource materials Provide effective analysis and reporting of project performance Track, monitor, and control project financial, timeline and quality performance Organize and deliver a Post Project Review Provide effective risk management through identification, escalation, mitigation, and effective resolution of issues Execute projects autonomously, while successfully coordinating with cross-functional project teams as required to procure required resources and support Serve as a primary point of contact for clients and both internal and external stakeholders Proactively identify opportunities, provide recommendations, and drive improvements to maximize operational efficiency and implement scalable solutions Establish, strengthen, and expand client relationships, support development of new business opportunities and overall profitable revenue growth Assist in the hiring process of new team members and train them Contribute to the development of the knowledge and capability of the department, team, colleagues in industry, and technology advancements. REQUIRED SKILLS: Exceptional leadership, interpersonal, and relationship-building skills Effective written and verbal communication skills Effective use of platforms/systems to plan, organize, and prioritize to ensure the successful completion of projects Established expertise in project management skills and methodologies Outstanding teamwork and collaboration skills Demonstrated exceptional analytical, critical-thinking, problem-solving and decision-making skills Established competency in the use of business applications and collaboration tools, including but not limited to the Microsoft suite of applications (Outlook, Excel, Word, PowerPoint, SharePoint, Teams) and Google Workspace suite of products Solid understanding of data collection, annotation, and transcription activities in an AI setting REQUIRED EXPERIENCE AND QUALIFICATIONS: Master's degree in linguistics, languages or related field 5+ years relevant project management experience or experience in other roles with similar responsibilities Experience managing AI ML data-related projects (including speech, text and computer vision data collection, data curation and annotation projects) Experience managing projects with crowdsourcing and remote resourcing solutions Demonstrated success in end-to-end management of transcription projects Experience working with a high-performance, collaborative, and constructive peer group Ability to apply technology in solving business problems Experience managing information technology, data management, or similar technical projects Demonstrated business English language proficiency DESIRED SKILLS AND EXPERIENCE: PMP or equivalent certification Experience working in a multinational/multicultural virtual working environment Proficiency in working with support ticketing systems Experience in working in a cross-functional/matrix organization Fluency in a language other than English language Knowledge of scripting or command line tools is an advantage.

Key Responsibilities: Design, develop, and deploy machine learning and deep learning models for real-world applications. Work with large datasets to extract meaningful insights and features. Collaborate with data engineers and product teams to define AI/ML use cases. Apply supervised, unsupervised, and reinforcement learning algorithms depending on the problem. Build and optimize NLP pipelines, computer vision systems, or recommendation engines. Implement model validation strategies, hyperparameter tuning, and performance monitoring. Deploy AI models into production using APIs, containers (Docker), or cloud platforms. Conduct A/B testing and post-deployment monitoring for model performance. Stay updated with the latest trends, research, and technologies in AI and machine learning. Contribute to documentation and knowledge-sharing efforts within the team. Required Skills: Proficient in Python and libraries such as NumPy , Pandas , Scikit-learn , Matplotlib . Strong experience with deep learning frameworks : TensorFlow , Keras , PyTorch . Solid understanding of machine learning algorithms , model training, evaluation, and optimization. Experience in one or more AI domains: NLP : Transformers, BERT, GPT, Hugging Face, text classification Computer Vision : OpenCV, CNNs, YOLO, image classification/object detection Recommendation Systems or Time Series Forecasting Strong foundation in linear algebra , probability , statistics , and optimization . Exposure to model deployment tools : Flask/FastAPI, TensorFlow Serving, TorchServe. Knowledge of MLOps practices and tools: MLflow, DVC, Airflow, or Kubeflow. Familiarity with cloud platforms : AWS (SageMaker), GCP (Vertex AI), or Azure ML. Experience working in agile environments and using Git for version control

About this opportunity: Welcome to an exciting opportunity at Ericsson, where youll be stepping into the role of a Data Scientist. As part of our team, youll have the opportunity to develop unique machine learning solutions that address complex business issues. Youll employ scientific methods, processes, and systems to reveal valuable insights and pave the way for the future of applied analytics. Direct your prowess in machine learning towards formulating innovative AI/ML solutions that are consistent with Ericssons architectural and coding standards. What you will do: - Implement technical requirements by analyzing and optimizing their needs while managing any constraints effectively. - Build predictive models, recommendation engines, anomaly detection systems, statistical models, deep learning models, and other machine learning systems. - Proficiency in machine learning concepts and programming languages such as Python, Pyspark, SQL, amongst others. - Develop solutions using on-premise and cloud-based machine learning. - Collaborate with business leaders and decision-making personnel to define success metrics and originate ML solutions that fit the bill. - Mentor emerging data scientists and foster a community of machine learning enthusiasts within Ericsson. The skills you bring: - DevSecOps. - Business Understanding. - Artificial Intelligence Systems. - Software Engineering. - Data Management. - Ericsson Business Intelligence and Analytics Competence. - Open-Source Programming Languages. - Data Preprocessing. - Statistics. - Cloud Development. - Machine Learning Algorithms. Primary country and city: India (IN) || Noida Req ID: 768224

Key Responsibilities: Design, develop, and deploy machine learning and deep learning models for real-world applications. Work with large datasets to extract meaningful insights and features. Collaborate with data engineers and product teams to define AI/ML use cases. Apply supervised, unsupervised, and reinforcement learning algorithms depending on the problem. Build and optimize NLP pipelines, computer vision systems, or recommendation engines. Implement model validation strategies, hyperparameter tuning, and performance monitoring. Deploy AI models into production using APIs, containers (Docker), or cloud platforms. Conduct A/B testing and post-deployment monitoring for model performance. Stay updated with the latest trends, research, and technologies in AI and machine learning. Contribute to documentation and knowledge-sharing efforts within the team. Required Skills: Proficient in Python and libraries such as NumPy , Pandas , Scikit-learn , Matplotlib . Strong experience with deep learning frameworks : TensorFlow , Keras , PyTorch . Solid understanding of machine learning algorithms , model training, evaluation, and optimization. Experience in one or more AI domains: NLP : Transformers, BERT, GPT, Hugging Face, text classification Computer Vision : OpenCV, CNNs, YOLO, image classification/object detection Recommendation Systems or Time Series Forecasting Strong foundation in linear algebra , probability , statistics , and optimization . Exposure to model deployment tools : Flask/FastAPI, TensorFlow Serving, TorchServe. Knowledge of MLOps practices and tools: MLflow, DVC, Airflow, or Kubeflow. Familiarity with cloud platforms : AWS (SageMaker), GCP (Vertex AI), or Azure ML. Experience working in agile environments and using Git for version control. Role & responsibilities

Job_Description":" Position: Faculty in Computer Science and Artificial Intelligence Location: Sonepat, NCR of Delhi. ABOUT US Rishihood University (RU) has been established under The Haryana Private Universities (Amendment) Act, 2020 and is empowered to award degree as specified in section 22 of UGC Act, 1956. Rishihood University is India first and only impact university. \u2018Impact\u2019 is the living spirit of Rishihood. The purpose of education envisioned by the thought leaders of our civilization and that which has motivated the founders to build Rishihood University is beyond just awarding degrees and jobs. The purpose of education is to achieve the highest potential in a learner i.e., Rishihood. Rishihood University provides a unique mix of globally relevant education that is rooted in Indian ideas, quality education that is affordable, and a multi- disciplinary exposure with cutting edge skills of a specialist. To achieve this outcome, education cannot be limited to within the classrooms. RU is a fully residential campus where living and learning seamlessly integrate throughout the day. RU faculty and learners have an active participation with society, industry, researchers, entrepreneurs, and policy makers. This keeps the learning at RU focused on solving the biggest challenges faced by humanity and prepares our learners for the real world. It is time India builds universities driven by a higher purpose, that have a strong committed board to back it, that redefine the way education is imparted both within and outside the classroom. Rishihood is a bold initiative to fulfil this idea. Hence, we are looking for like-minded founding faculty members at Rishihood University. We are seeking an innovative, energetic, and ambitious individual for the role of an Assistant Professor in Computer Science and AI. This unique position requires a combination of academic prowess and entrepreneurial spirit as the successful candidate will not only be involved in traditional academic responsibilities but also play a key role in building our new program from the ground up. This opportunity offers a rare chance to shape the future direction of Computer Science and AI education and research at our university. Job Overview: Key Responsibilities: 1. Curriculum Development: Work closely with university leadership and faculty to develop and implement a cutting-edge curriculum in Computer Science and AI that aligns with industry needs and trends. 2. Teaching: Provide high-quality instruction at the undergraduate level, ensuring course content remains current, practical, and engaging. 3. Program Building: Play an integral role in the establishment and growth of our new Computer Science and AI program. This will involve a range of activities from faculty recruitment to partnerships with industry and academia. 4. Academic Entrepreneurship: Leverage your entrepreneurial skills to drive innovation within the program, exploring new models of teaching, research, and industry collaboration. 5. Strategy: Participate actively in Planning & Implementing the growth strategy for the program in alignment with overall vision & philosophy of the University. 6. Community Building: Foster a vibrant, inclusive, and collaborative community within the program. Organise and participate in events such as hackathons, meetups, guest lectures, etc. Qualifications: 1. PhD in Computer Science, Artificial Intelligence, or a closely related field. 2. Significant teaching experience at the university level. 3. Strong entrepreneurial mindset and experience, ideally within an academic context. 4. Excellent interpersonal and leadership skills, with a track record of building successful teams or programs. 5. Deep understanding of the current trends and future directions in Computer Science and AI. 6. Passion for improving education and the student experience. ","

Overview About Business Unit: At the core of all that Epsilon does is a team that sets the foundation of our IT infrastructure. The team drives innovation and efficiency through disruptive technology across Epsilons platforms and business verticals. From being the first point of contact for infrastructure needs to final deployment, the team provides end-to-end solutions for our client-facing platforms. ETS supports all aspects of revenue-generating platforms for Epsilon and sets the architectural direction for our enterprise deployments. By embracing the latest technologies, such as Cloud, Automation, and Artificial Intelligence, the team is at the front of transforming our digital business and capturing new opportunities. We are seeking a diligent, experienced, and technically proficient Agile Technical Project Manager to lead cross-functional teams in delivering complex IT and software development projects. The ideal candidate will bring a strong technical background, Agile expertise (Scrum/Kanban/SAFe), and a proven ability to manage collaborator expectations, timelines, risks, and project delivery. This role will serve as a critical bridge between engineering, operations, and business units, ensuring successful execution of projects aligned with strategic objectives. Responsibilities Manage end-to-end lifecycle of multiple concurrent projects using Agile methodologies. Facilitate Agile ceremonies: daily stand-ups, sprint planning, backlog grooming, retrospectives, and reviews. Work closely with Product Owners, Scrum Masters, Developers, QA, DevOps, and external collaborators. Translate business requirements into technical tasks and maintain a prioritized product backlog. Identify, track, and mitigate risks, dependencies, and issues that may impact delivery. Develop and maintain detailed project documentation including plans, schedules, and progress reports. Ensure high-quality deliverables are produced within scope, budget, and time constraints. Act as a servant-leader to Agile teams, promoting Agile values and continuous improvement. Provide technical guidance or facilitate resolution of technical blockers with engineering leads. Monitor and report critical metrics related to project performance and team velocity. Qualifications Bachelor s degree in Computer Science, Information Technology, Engineering, or related field. 2-4 years of experience in technical project management in Agile environments. Hands-on experience working with software development teams, preferably in SaaS, Cloud, or enterprise environments. Strong understanding of SDLC, Agile (Scrum, Kanban, SAFe), DevOps practices, and CI/CD pipelines. Experience with project management and collaboration tools (e.g., Jira, Confluence, Azure DevOps, Trello). Excellent organizational, communication, and interpersonal skills. Proven ability to manage multiple complex projects with cross-functional teams. Other Skills, Knowledge, or Abilities: Excellent written and verbal communication skills Excellent working knowledge of Jira, Microsoft Project and Microsoft Office Excellent negotiation skills Excellent time management skills Diligent, able to multi-task and prioritize Excellent listening skills Self-starter with strong initiative Ability to thrive in a highly matrixed environment while managing multiple priorities simultaneously Ability to negotiate and manage conflict and manage constructive customer concerns Ability to deviate from standard/established methodologies to accomplish dynamic project completion Growing knowledge of technical, business, and marketing impact to business activities Preferred Qualifications: Scrum Master (CSM), PMI-ACP, SAFe Agilist, or equivalent Agile certification. Technical certifications such as AWS, Azure, or equivalent cloud platforms. Background in software engineering, infrastructure, or system architecture. Experience managing projects involving Cloud Migration, API integrations, or Data Platforms. Additional Information Epsilon is a global data, technology and services company that powers the marketing and advertising ecosystem. For decades, we ve provided marketers from the world s leading brands the data, technology and services they need to engage consumers with 1 View, 1 Vision and 1 Voice. 1 View of their universe of potential buyers. 1 Vision for engaging each individual. And 1 Voice to harmonize engagement across paid, owned and earned channels. Epsilon s comprehensive portfolio of capabilities across our suite of digital media, messaging and loyalty solutions bridge the divide between marketing and advertising technology.

Overview About Business Unit: At the core of all that Epsilon does is a team that sets the foundation of our IT infrastructure. The team drives innovation and efficiency through disruptive technology across Epsilons platforms and business verticals. From being the first point of contact for infrastructure needs to final deployment, the team provides end-to-end solutions for our client-facing platforms. ETS supports all aspects of revenue-generating platforms for Epsilon and sets the architectural direction for our enterprise deployments. By embracing the latest technologies, such as Cloud, Automation, and Artificial Intelligence, the team is at the front of transforming our digital business and capturing new opportunities. Why we are looking for you: You have at least 2 years of experience with Active Directory services including creating and managing user accounts, security groups, organizational units (OU s), including best practices and common troubleshooting. Strong attention to detail and accuracy, ensuring what we create is of the quality. You are passionate about the end-user experience in helping them achieve their outcomes. Eagerness to learn and develop new skills such as PowerShell for automation, Identity Access Management (IAM) principles, or Single Sign-On (SSO) technologies What you will enjoy in this role: As part of the Epsilon Identity Services team, you ll be the part of the shared services that provide access to our employees and end clients, leading to impactful outcomes. You ll get to learn & develop new skills and propose new ideas working with a very collaborative team. You ll get hands-on experience with new cloud technologies powered by SSO and Identity lifecycle automation services. Responsibilities What you will do: Day-to-day administration of creating accounts and enabling access with those accounts to various applications. Respond, triage, and resolve degradations in supporting identity software such as SailPoint or Okta. Develop scripts & automated functions that help increase consistent outcomes. Collect and organize data for reporting or auditing. Make service recommendations and develop improvements in automated efficiency. Qualifications 2+ years Active Directory administration, either in Windows or Azure Entra Familiarity with Windows Server operating systems, or Linux. Experience administering directory services such as Windows and Azure AD Some understanding of how PowerShell or other scripting technology functions. Demonstrated problem solving and troubleshooting skills Good communication skills with your peers and internal users. Service Desk experience would be a plus. Additional Information Epsilon is a global data, technology and services company that powers the marketing and advertising ecosystem. For decades, we ve provided marketers from the world s leading brands the data, technology and services they need to engage consumers with 1 View, 1 Vision and 1 Voice. 1 View of their universe of potential buyers. 1 Vision for engaging each individual. And 1 Voice to harmonize engagement across paid, owned and earned channels. Epsilon s comprehensive portfolio of capabilities across our suite of digital media, messaging and loyalty solutions bridge the divide between marketing and advertising technology.

Position Overview We are looking for a passionate and skilled AI Research Engineer to join our team and advance the field of autonomous systems. In this role, you will focus on developing cutting-edge algorithms in Reinforcement Learning (RL) , Imitation Learning , and Autonomous Decision-Making to enable robots to learn, adapt, and make decisions in complex, dynamic environments. You will work alongside other AI researchers and engineers to push the boundaries of autonomous decision-making in real-world robotics applications. Key Responsibilities Conduct research and development in Reinforcement Learning (RL) and Imitation Learning to enable robots to learn complex tasks through both trial-and-error and expert demonstrations. Design and implement novel algorithms for autonomous decision-making, optimizing for efficiency, scalability, and robustness in dynamic environments. Develop methods for combining RL with other learning paradigms, such as supervised learning, unsupervised learning, and imitation learning, to improve the performance and generalization of autonomous systems. Work on reward engineering and exploration strategies for RL agents to enable fast and effective learning in real-world environments. Develop and implement simulation environments for training and evaluating RL and imitation learning algorithms, focusing on tasks such as navigation, manipulation, environment exploration and gait planning with dynamic environments. Design and evaluate approaches for transfer learning and domain adaptation to ensure that RL agents can transfer knowledge learned in one environment to new, unseen environments. Integrate RL and imitation learning algorithms into robotic platforms, ensuring they can function in real-time with the robots sensors and actuators. Work closely with cross-functional teams, including robotics engineers, perception engineers, and software developers, to deploy decision-making algorithms in production environments. Perform thorough testing and validation of RL and imitation learning algorithms in both simulated i.e. Isaac Sim and real-world robotic systems i.e NVIDIA s Jetson hardware. Continuously monitor and improve the efficiency of learning algorithms, reducing training time and computational costs while maintaining high performance. Stay up-to-date with the latest research and advancements in reinforcement learning, imitation learning, and autonomous decision-making, applying relevant techniques to real-world applications. Contribute to the development of internal tools, frameworks, and libraries to support the deployment and scaling of RL algorithms in production systems. Required Qualifications Bachelor s or Master s degree in Computer Science, Artificial Intelligence, Robotics, or a related field. Strong background in Reinforcement Learning (RL) and Imitation Learning , with hands-on experience applying these techniques to real-world problems (3+ years of research or industrial experience). Proficiency in machine learning frameworks such as TensorFlow, PyTorch, or JAX, with experience in building and training RL agents using Isaac Lab. In-depth understanding of RL algorithms, including Q-learning, Policy Gradient methods, Actor-Critic, and deep RL techniques (e.g., DQN, A3C, PPO). Experience with Imitation Learning algorithms, such as Behavioral Cloning, DAGGER, or GAIL, and applying them in autonomous systems. Strong programming skills in Python, C++, or similar languages commonly used in AI and robotics. Experience with simulation platforms like Isaac Sim (Preferred) ,Gazebo, Unity, or PyBullet for RL agent training and evaluation. Familiarity with robotic systems, sensors, and actuators, and how to integrate AI algorithms with these hardware components. Ability to communicate complex AI research findings and algorithmic designs clearly to both technical and non-technical stakeholders. Strong analytical and problem-solving skills, with the ability to debug and optimize complex machine learning algorithms. Experience working with large-scale datasets and parallel or distributed computing frameworks is a plus. Preferred Qualifications Experience with multi-agent reinforcement learning or cooperative decision-making in autonomous systems. Knowledge of safe exploration techniques and reward design in RL. Familiarity with cloud computing and distributed training infrastructure for AI and RL algorithms (e.g., AWS, Google Cloud). Experience in deploying RL-based decision-making systems in real-world applications such as robotics, autonomous vehicles, or drones. Contributions to open-source AI or reinforcement learning libraries, or published research in top AI conferences or journals. ,

Experience / Skills: 5-8 Years in Embedded Firmware Storage/SSD FTL or Frontend Firmware development Strong firmware design and debug experience using assembly and C programming. Knowledge of mass storage interface protocol PCIe/NVMe as needed, Understanding of storage interfaces including SATA, or SAS (optional) Knowledge in the use of scripting languages, programming tools and environments Experience in the storage industry in SSD, HDD, storage systems, or a related technology. Working knowledge of NAND flash and other non-volatile storage is optional but plus. Experience in test equipment such as oscilloscopes and logic/bus analyzers (Viavi or LeCroy - good to have). Ability to work independently with a minimum of day-to-day supervision. Ability to work in a multi-functional team and under the pressure of multiple priorities. To request assistance with the application process and/or for reasonable accommodations, please contact hrsupport_india@micron.com Micron Prohibits the use of child labor and complies with all applicable laws, rules, regulations, and other international and industry labor standards. Micron does not charge candidates any recruitment fees or unlawfully collect any other payment from candidates as consideration for their employment with Micron. AI alert : Candidates are encouraged to use AI tools to enhance their resume and/or application materials. However, all information provided must be accurate and reflect the candidates true skills and experiences. Misuse of AI to fabricate or misrepresent qualifications will result in immediate disqualification. Fraud alert: Micron advises job seekers to be cautious of unsolicited job offers and to verify the authenticity of any communication claiming to be from Micron by checking the official Micron careers website in the About Micron Technology, Inc.

DevRev DevRev s AgentOS, purpose-built for SaaS companies, comprises three modern CRM apps for support, product, and growth teams. It connects end users, sellers, support, product people, and developers, reducing 9 business apps and converging 6 teams onto a common platform. Unlike horizontal CRMs, DevRev takes a blank canvas approach to collaboration, AI, and analytics, enabling SaaS companies to increase product velocity and reduce customer churn. DevRev is used by thousands of companies in search of low latency analytics and customizable LLMs to thrive in this era of GenAI. Headquartered in Palo Alto, California, DevRev has offices in seven global locations. We have raised $100 million in funding from investors like Khosla Ventures and Mayfield at a $1.1 billion valuation. We are also honored to be named on the Forbes 2024 list of America s Best Startup Employers. Founded in October 2020 by Dheeraj Pandey, former co-founder and CEO of Nutanix, and Manoj Agarwal, former SVP of Engineering at Nutanix, DevRev continues to push the boundaries of innovation, helping thousands of companies thrive in the rapidly evolving landscape of AI-driven SaaS. Job Description We are looking for ambitious and authentic software developers who are excited to bring fresh ideas from all areas to their work, including artificial intelligence, natural language processing, UI design, mobile development, large-scale system design, data storage, security, and more. As a front-end developer at DevRev, you ll help build delightful user experiences that greatly improve the way developers work together. You ll also help solve complex, large-scale technical challenges such as data visualization, real-time messaging, and AI/ML enriched UIs. If you re excited to learn and own your product features, as well as work on a modern tech stack with a thriving global team, we d love to talk! Responsibilities: Build cutting edge user experiences and interfaces that are easy to use, performant and reliable Work closely with engineers, product managers and leadership to create a tangible product roadmap Work closely with backend developers to build highly scalable application interfaces Build reusable and responsive UI components using modern tools like TypeScript, React, GraphQL, CSS Modules, Jest, and Cypress Continuously improve the UI based on design requirements and optimize for performance, quality, and efficiency Bring a solutions-oriented mindset to every meeting and make your coworkers feel included in every interaction Minimum Qualifications: Bachelors or Master s degree in Computer Science or related technical field, or equivalent practical experience 5+ Years experience in developing responsive web apps and shipping user-facing features with JavaScript, HTML, CSS, and component-based frameworks like React Significant contributions to reusable component libraries with great attention to detail Familiarity with current trends and best practices in front-end architecture, including performance, security and usability Ability to write high quality, well tested code to maintain reliable user interfaces Preferred Qualifications: Experience with real-time communication technology, such as WebSockets Experience building advanced data visualizations Experience with PWA (Progressive Web Apps) and offline applications is a bonus Culture The foundation of DevRev is its culture -- our commitment to those who are hungry, humble, honest, and who act with heart. Our vision is to help build the earth s most customer-centric companies. Our mission is to leverage design, data engineering, and machine intelligence to empower engineers to embrace their customers. That is DevRev!

Who We Are Simpplr is the AI-powered platform that unifies the digital workplace - bringing together engagement, enablement, and services to transform the employee experience. It streamlines communication, simplifies interactions, automates workflows, and elevates the everyday experience of work. The platform is intuitive, highly extensible, and built to integrate seamlessly with your existing technology. More than 1,000 leading organizations - including AAA, the NHS, Penske, and Moderna - trust Simpplr to foster a more aligned and productive workforce. Headquartered in Silicon Valley with global offices, Simpplr is backed by Norwest Ventures, Sapphire Ventures, Salesforce Ventures, and Tola Capital. Learn more at simpplr.com . Role Overview: As a Principal Data Scientist, you will spearhead cutting-edge AI initiatives and deliver a world-class AI-driven enterprise search solution, Agentic platform, recommendations and other key AI initiatives. You will provide strategic direction, foster innovation, and ensure the successful execution of our product roadmap. You should have a deep understanding of AI/ML technologies, a proven track record of leading successful AI products, and a passion for pushing the boundaries of whats possible. Key Responsibilities: Foster a collaborative, innovative environment and ensure the team stays insulated from external distractions. Drive the end-to-end product lifecycle from ideation and design to implementation and deployment, ensuring delivery excellence with a focus on quality, speed, and innovation. Provide deep technical guidance in AI, machine learning, NLP, and search technologies, staying current with cutting-edge advancements. Champion AI ethics and responsible development: Ensure that AI projects are developed and deployed ethically and responsibly, considering potential biases and societal impacts. Effectively communicate and collaborate with cross-functional stakeholders, confidently advocating for the team s priorities and managing external expectations. Collaborate with cross-functional teams: Work closely with product, engineering, marketing, and other teams to integrate AI solutions into existing workflows and develop new AI-powered products and features. Actively consider product-market fit, customer value, and revenue implications, adopting a founder-like approach to growing and refining the product feature. Independently make key decisions and take ownership of the product s success, proactively addressing challenges and opportunities. Insulate the team from external noise, ensuring they maintain clear focus and direction. Experience & Skills: 7+ years of professional experience. Proven track record of successfully leading and managing AI and search-related product development. Demonstrated hands-on expertise and deep expertise in Artificial Intelligence, Machine Learning, NLP, Information Retrieval, computer vision, reinforcement learning and enterprise search technologies. Strong understanding of enterprise search technologies and architectures. Proven track record in building, scaling, and managing AI-powered products. Excellent leadership, communication, interpersonal, problem-solving, and analytical skills. Proven ability to articulate a clear vision and align teams behind that vision. Strong experience in strategic planning and execution within agile environments. Demonstrated resilience, adaptability, and ability to thrive in fast-paced, evolving environments. Ability to professionally and effectively push back against stakeholder demands. Founder mentality with the ability to create, articulate, and execute a compelling vision and strategy. Qualifications: Bachelors degree in Computer Science, Engineering, AI, Data Science, or related fields. Advanced degree (Masters or PhD) preferred. Bonus Points: Publications in top AI conferences or journals. Experience with cloud-based AI platforms (AWS, Azure, GCP). Simpplr s Hub-Hybrid-Remote Model: At Simpplr we believe that when work is good, life is better and that belief guides all we do. Including how we approach our flexible work model. Simpplr operates with a Hub-Hybrid-Remote model. This model is role-based with exceptions and provides employees with the flexibility that many have told us they want. Hub - 100% work from Simpplr office. Role requires Simpplifier to be in the office full-time. Hybrid - Hybrid work from home and office. Role dictates the ability to work from home, plus benefit from in-person collaboration on a regular basis. Remote - 100% remote. Role can be done anywhere within your country of hire, as long as the requirements of the role are met.

Process Commissioning Engineer Join Micron as an Process Commissioning Engineer and be part of a team that is transforming the future of technology! Our engineering division is at the forefront of developing innovative solutions that drive the intelligence revolution. This role offers an outstanding opportunity to work with world-class technology and make a substantial impact. We are seeking an ambitious Process Commissioning Engineer to join our team and assist us in achieving flawless execution in our operations. Your expertise will be crucial in ensuring the efficient performance of our water and air plants, as well as our pumping and power plants. Come be a part of a collaborative and inclusive environment where your skills will excel among the industrys top performers! Responsibilities: Control and optimize equipment in cleanroom environments, ensuring all operations meet our elite standards. Coordinate the management of logics, air plants, and cooling towers with strict adherence to safety and efficiency protocols. Successfully implement and manage operations of STP (Sewage Treatment Plant), WTP (Water Treatment Plant), ETP (Effluent Treatment Plant), and ZLD (Zero Liquid Discharge) systems. Identify standard methodologies for plant operations and processes, emphasizing continuous improvement and flawless performance. Experience in the operation of pumping and power plants. Familiarity with advanced control logics and automation systems. Demonstrated ability to lead projects and drive successful implementation of process improvements. Minimum Qualifications: Bachelors degree Mechanical, Electrical & Chemical or equivalent experience in Engineering or a related field. Proven experience of 8 to 12 years in plant operations, including water and air plants. Strong knowledge of control systems, cleanroom protocols, and process commissioning. Outstanding problem-solving skills and the ability to work collaboratively in a team environment. To request assistance with the application process and/or for reasonable accommodations, please contact hrsupport_india@micron.com Micron Prohibits the use of child labor and complies with all applicable laws, rules, regulations, and other international and industry labor standards. Micron does not charge candidates any recruitment fees or unlawfully collect any other payment from candidates as consideration for their employment with Micron. AI alert : Candidates are encouraged to use AI tools to enhance their resume and/or application materials. However, all information provided must be accurate and reflect the candidates true skills and experiences. Misuse of AI to fabricate or misrepresent qualifications will result in immediate disqualification. Fraud alert: Micron advises job seekers to be cautious of unsolicited job offers and to verify the authenticity of any communication claiming to be from Micron by checking the official Micron careers website in the About Micron Technology, Inc.

Join our Team About this opportunity: Welcome to an exciting opportunity at Ericsson, where youll be stepping into the role of a Data Scientist. As part of our team, youll have the opportunity to develop unique machine learning solutions that address complex business issues. Youll employ scientific methods, processes, and systems to reveal valuable insights and pave the way for the future of applied analytics. Direct your prowess in machine learning towards formulating innovative AI/ML solutions that are consistent with Ericssons architectural and coding standards. What you will do: - Implement technical requirements by analyzing and optimizing their needs while managing any constraints effectively. - Build predictive models, recommendation engines, anomaly detection systems, statistical models, deep learning models, and other machine learning systems. - Proficiency in machine learning concepts and programming languages such as Python, Pyspark, SQL, amongst others. - Develop solutions using on-premise and cloud-based machine learning. - Collaborate with business leaders and decision-making personnel to define success metrics and originate ML solutions that fit the bill. - Mentor emerging data scientists and foster a community of machine learning enthusiasts within Ericsson. The skills you bring: - DevSecOps. - Business Understanding. - Artificial Intelligence Systems. - Software Engineering. - Data Management. - Ericsson Business Intelligence and Analytics Competence. - Open-Source Programming Languages. - Data Preprocessing. - Statistics. - Cloud Development. - Machine Learning Algorithms. Why join Ericsson? What happens once you apply? Primary country and city: India (IN) || Noida Req ID: 768224

Responsible for executing Ford Credit s multiyear, Google cloud transformation strategy for Data platforms. Leading enterprise goal of building a modern scalable, secure & high availability Datawarehouse in Google cloud, to enable customer centric view of data and enables enterprise AI strategy and roadmap. Mentor and m anage delivery team of 60+ in-house employees including Sr. Engineering managers, Principal engineers and data scientists/engineers & extended purchased services vendor partners teams. Must Have Skills - 12+ years of technical leadership experience in delivery of Data Warehouse Solutions on prem or on cloud for large companies, and business adoption of these platforms to build insights & analytics 15+ years experience leading technical teams, delivery complex projects using Agile methodologies, and product support of those solutions. 10+ managing global supplier/cost effective sourcing partners . Solid knowledge of cloud data architecture, data modelling principles, DevOps, Data compliance, global (North America/Europe) data protection laws , security and data governance Very strong leadership and communication skills exhibiting right negotiating posture with customer and program teams to make the right decisions. Demonstrated experience required in engineering Data warehouse solution in Google or other cloud systems. Driven and managing complex projects & aggressive timelines Google Cloud certified professional Data Engineer Master s degree in- Computer science, Computer engineering, Data science or related field Experience on Google cloud with deep understanding and design and development experience with Google Cloud Platform products on Infrastructure, Data management, Application Development, Smart Analytics, Artificial Intelligence, Security and DevOps Knowledge of most of the following: Extract, Transform and Load (ETL) & Big Data Tools: BigQuery, Cloud Dataflow, Cloud Proc, Cloud Pub/Sub, Cloud Composer, Google Data Studio, Google Cloud Storage. Data Quality and Governance Designing, building, and deploying ML pipelines (MLOps) to solve business challenges using Python/BQML/Vertex AI on GCP. Work closely with data scientists to help deploying their models. Proven track of managing large global budgets, and organization change management. Ability to negotiate with and influence stakeholders & drive forward strategic data transformation Quick learner, self-starter, energetic leaders with drive to deliver results. Empathy and care for customers and teams, as a leader guide teams on advancement of skills, objective setting and performance assessments. Good to Have Skills - Experience in technical program management & delivering transformational projects Building high performance teams Managing/or working with globally distributed teams Prior experience in leveraging offshore development service providers Experience in a Fintech/ Banking or large manufacturing company. Accountable for supporting the creation of the modern Datawarehouse platform in Google Cloud that enables Analytics, insights & AI/ML at speed. Managing stakeholders and projects, collaborating on prioritization strategies, roadmaps, architecture & features delivery Leading enablement of new GCP BQ capabilities & engineering patterns for enterprise-wide adoption. Accountable for ensuring banking regulatory compliance & reporting Provide technical leadership in design & delivery of Google cloud data platform, using agile practices and delivering continuous business value Drive business adoption of new scalable and reliable data platform for enterprise s data analytics, Insights & AI/ML modeling requirements Collaborate with Architects and cross functional application/product teams and Ford Data Factory team to integrate data solutions required to support multiple parallel projects Familiarity with hands-on development of reusable solution patterns with advanced GCP tools & guide teams on how to effectively use these tools Be the trusted partner of business customers and engineering teams in solving technical and business problems. Effectively manage team s priorities, backlogs and help remove roadblocks, to drive key business results Lead communication of status, issues & risks to key stakeholders Stay abreast on technology advancements and ensure team keeps updated on skills Experience leading large team of data engineers & developing talent, performance management. Leverage cloud AI/ML Platforms to deliver business and technical requirements. Manage data engineers and ML engineers that work with teams of data scientists, data analysts, and architects to successfully deliver ML/AI projects.

Model Devt: Design, implement,optimize ML models with a primary focus on Computer Vision applications. Build & maintain,deployment pipelines for ML models on CPU-based cloud servers (e.g.AWS),exp in GPU-based deployment for resource-intensive task. Required Candidate profile Optimize AI containers & applications for speed ,scalability ,resource efficiency Partner with data scientists, engineers, product managers to integrate ML solution seamlessly into business workflows.

Proficiency in Python (libraries like pandas, NumPy, scikit-learn) Strong SQL skills for querying and manipulating large relational datasets Hands-on experience with cloud platforms (AWS/Azure/GCP) . Required Candidate profile Exposure to Generative AI frameworks or large language models (e.g., OpenAI GPT, Hugging Face Transformers) Exp in cloud-native ML tools (SageMaker, Azure ML, Vertex AI) Exp in CI/CD pipelines

CRISIL is looking for AI and ML - Associate Director, Corporate Technology to join our dynamic team and embark on a rewarding career journey Collaborate with cross-functional teams to achieve strategic outcomes Apply subject expertise to support operations, planning, and decision-making Utilize tools, analytics, or platforms relevant to the job domain Ensure compliance with policies while improving efficiency and outcomes

You will push the boundaries of state-of-the-art in audio and media technologies. The ideal candidate would have a strong background in deep learning, both in terms of conceptual understanding, as well as practical experience. A core aspect of this role involves being able to keep up to date with the literature, implement, and innovate with the bleeding edge in generative models, self-supervised learning, and multi-modal learning. With the explosion of multi-modal foundation models and the growing capabilities of vision-language and audio-language systems, you will partner closely with Dolby s Applied AI team, which actively pursues the integration of these cutting-edge technologies into next-generation audio and media experiences. You will be able to hit the ground running, innovate, and contribute to impactful projects that leverage the latest advancements in AI. Consequently, experience with audio models, language models, question answering, vision-language models, captioning, etc. would be highly beneficial. Consequently, knowledge or experience in any/all of the following are helpful: Diffusion, autoregressive, or other generative models. Self-supervised, contrastive learning, auto-encoders. Audio, image, or text applications Source separation, text-to-speech, music synthesis, image segmentation, image captioning, question answering, language models, etc. Main responsibilities: Partner closely with other domain experts to refine and execute Dolby s technical strategy in artificial intelligence and machine learning. Use deep learning to create new solutions (including foundation models) and enhance existing applications. Push the state-of-the-art and develop intellectual property. Transfer technology to product groups and draft patent applications. Advise internal leaders on recent deep learning advancements in the industry and academia to further influence research direction and business decisions. Requirements Ph.D. in Computer Science or similar field. A strong background in deep learning, both in terms of conceptual understanding, as well as practical experience. Strong knowledge and interest in audio processing. Knowledge in video or text processing is desirable. Strong publication record, with publications in major machine learning conferences (e.g. NeurIPS, ICLR, ICML). Publications in top domain-specific conferences is desirable (e.g., ACL, CVPR, ICASSP). Good knowledge about current machine learning literature. Highly skilled in Python and one or more popular deep learning frameworks (TensorFlow or PyTorch). Ability to envision new technologies and turn them into innovative products. Good communication and collaboration skills.