JD- Engineering Manager - AI Location: Gurgaon/ Noida/ Hyderabad Mode: Work from office Technologies: Java / .NET C# / Good to have : Python / Spring / React.js / PostgreSQL / MongoDB / Redis / Kafka Company is seeking an Engineering Manager to lead a high-performing team of engineers in delivering scalable, secure, and AI-powered solutions. The ideal candidate must have hands-on delivery experience of AI projects and a strong background in Java or .NET (C#) technologies . You will work closely with cross-functional teams to build platforms that drive real business impact. This is a leadership role that requires deep technical acumen, strategic vision, and exceptional team management skills. Qualifications & Experience 8+ years of engineering experience, with at least 2 years in a managerial or team lead role. Proven delivery experience of AI/ML projects in a production environment. Strong technical expertise in Java (Spring Boot) or .NET C# , with hands-on coding capabilities. Experience with Python , especially in data engineering or AI-related work, is a plus. Solid experience in frontend technologies like React.js . Working knowledge of PostgreSQL , MongoDB , Redis , Kafka , and MinIO . Familiarity with cloud platforms (AWS, Azure, GCP), Docker , and Kubernetes . Understanding of ETL, data pipelines, and AI/ML frameworks is desirable. Excellent communication, stakeholder management, and leadership skills. Experience in AI-first, fast-paced product companies is a strong plus. If interested plz call us back 9513487487, 9342164917 jobs@intellisearchonline.net

JD- Engineering Manager -GEN AI Location: Gurgaon/ Noida/ Hyderabad Mode: Work from office Technologies: Java / .NET C# / Good to have : Python / Spring / React.js / PostgreSQL / MongoDB / Redis / Kafka Company is seeking an Engineering Manager to lead a high-performing team of engineers in delivering scalable, secure, and AI-powered solutions. The ideal candidate must have hands-on delivery experience of AI projects and a strong background in Java or .NET (C#) technologies . You will work closely with cross-functional teams to build platforms that drive real business impact. This is a leadership role that requires deep technical acumen, strategic vision, and exceptional team management skills. Qualifications & Experience 8+ years of engineering experience, with at least 2 years in a managerial or team lead role. Proven delivery experience of AI/ML projects in a production environment. Strong technical expertise in Java (Spring Boot) or .NET C# , with hands-on coding capabilities. Experience with Python , especially in data engineering or AI-related work, is a plus. Solid experience in frontend technologies like React.js . Working knowledge of PostgreSQL , MongoDB , Redis , Kafka , and MinIO . Familiarity with cloud platforms (AWS, Azure, GCP), Docker , and Kubernetes . Understanding of ETL, data pipelines, and AI/ML frameworks is desirable. Excellent communication, stakeholder management, and leadership skills. Experience in AI-first, fast-paced product companies is a strong plus. If interested plz call us back 9513487487, 9342164917 jobs@intellisearchonline.net

About Info Edge InfoEdge’s mission is to create world-class platforms that transform lives by continuously innovating. Our products and services are built keeping our customers in mind. We always delight our customers by delivering superior value through enhanced offerings on the internet and other platforms. Through our continuous investment across various businesses, especially in cutting-edge technology, machine learning and artificial intelligence (AI), we have built a robust system that constantly increases our predictive powers on customer behavior, and optimizes and improves our systems. Our various teams tirelessly work together to solve problems, innovate, and create something to empower our customers. At Info Edge, people are our core competitive advantage and we will continue doing all that is needed to attract and retain the best available talent. About BU: Shiksha.com Shiksha.com is an online platform that helps students find in-depth information about colleges, courses and exams. It also enables students to interact with domain experts and college/school alumni towards taking exam, course-selection and college-selection related decisions. It has a repository of reliable and authentic information for over 15,000 institutions, 1,40,000 plus courses and gets over 70 million unique visitors per year. Shiksha provides leads of relevant students to Universities and Colleges seeking to admit those students in their courses Title: Executive / Sr. Executive (Student Success) Required Educational Qualification: Any Graduate or Postgraduate Desired Experience: 1 - 4 years Job Objective: Objective is to provide professional guidance to students interested in studying in an Indian College / University for higher education. Job Description: Helping the registered users of shiksha.com (students / parents) to take the unbiased and informed decision on making the right choices for institutes to enroll for higher studies. Understand their requirements in-terms of courses, college or university preference, course duration, fee structures and other criterions. Ensure conversions of potential online leads from the domestic section of the portal by virtual connects (Calls/Skype/whatsapp) into confirmed applications / admissions in the partner universities / Institutions Coordinate and maintain a strong relationship with students, institutions, universities and university spocs. Demonstrate expertise for counseling and shortlisting of colleges/ universities according to the student profile and ensure documentation. Maintain weekly/monthly reports and process related matrices showing progress on student conversions/target achievement Required Skills: Excellent communication both verbal and written Experience in education counselling Sales acumen and target orientation Documentation and customer engagement Desired Skills: Customer centric approach Interpersonal skills Data management and analytics Why Join Us: This is a unique opportunity to work on innovative and disruptive technology driven business solutions that are shaping the future of the industry. We are looking for candidates who are willing to work passionately in a fast-paced environment and are ready to enhance their skills by learning something new. Being a part of InfoEdge, will allow you to unleash your potential and carve your own career. To learn more about Info Edge visit http://www.infoedge.in/

Job Description Join our team as a Generative AI Architect in the AI Practice! We are looking for a visionary individual to lead the design, development, and deployment of cutting-edge Generative AI solutions, driving business value across our products and services. Key Responsibilities: - Lead generative AI initiatives in text, ASR, TTS & STT generation and develop AI pipelines and ML models. - Design scalable AI systems using state-of-the-art generative models like LLMs and diffusion models. - Collaborate with cross-functional teams to integrate generative AI into business workflows. - Define best practices for model lifecycle management, focusing on data preparation, training, evaluation, deployment, and monitoring. - Guide ethical AI development with a focus on fairness, interpretability, and compliance. Qualifications: - Bachelors or Masters degree in Computer Science or related field. - 7+ years of AI/ML development experience, with 2+ years in generative AI. - Hands-on experience with large language models and diffusion models. - Strong proficiency in Python and ML frameworks. - Experience with Azure, GCP, and containerization. - Familiarity with AI architecture patterns and model fine-tuning. - Knowledge of data privacy laws and AI ethics principles. Preferred: - Experience deploying GenAI applications in production. - Knowledge of vector databases and retrieval-augmented generation. - Experience with CI/CD pipelines for ML. Skills : - Generative AI,Large Language Models (LLMs),Diffusion Models,Machine Learning (ML),Artificial Intelligence (AI),Natural Language Processing (NLP),Python Programming,ML Frameworks (e.g., TensorFlow, PyTorch, Hugging Face),Azure,GCP,Ethical AI,Responsible AI,Vector Databases, RAG

Role Purpose: Act as a subject matter expert for a specific fibre related technology domain and support development of solution for customers Key Accountabilities: B.Tech with 8-10 years of experience in developing solutions for fiber and related technologies Preferred Experience and Qualification. Provide technology support to develop solutions for client requirement Work with the sales and pre-sales team to showcase the organizational capabilities in technology to customers Support in the respective subject matter expertise in preparing Customer Requirement Analysis, Preparing High level architecture and Solution Building blocks, shortlisting Compliant OEMs for techno-commercial analysis Build OEM Relationships and create in depth analysis / evaluation of various OEM offerings according to set benchmarks Research new and emerging solutions around the subject matter areas Skills: Experience in designing AI applications and knowledge of machine learning frameworks like TensorFlow or PyTorch Proven ability to lead and manage AIML projects with cross-functional teams Strong communication skills to effectively collaborate with various stakeholders Critical thinking and problem-solving skills are essential Experience with ethical AI practices and ensuring compliance with data protection regulations Tinkering mindset, ability to find solutions in complex situations to satisfy business needs, and ability to think on your feet. Excellent problem-solving, analytical, and communication skills Rigorous understanding of the fundamentals of Statistics, Classical Machine Learning, and Deep Learning Experience with data tools and data pipelines Experience working on both local machines and cloud platforms such as AWS, Azure, and preferably GCP Experience putting models into production Experience of CI/CD guidelines and associated tools such as Jenkins, GitLab or CircleCI is a plus but not mandatory. Experience of containerization technologies and microservices architecture is a plus but not mandatory. Driven by innovation, design, plan and implement Data & (Gen)AI architectures including the associated roadmaps, where you work together with Enterprise Architects and Senior Management up to C-Level on the customer side Design and set up experiments for collecting, labeling, analyzing data of different kinds of events from fiber based sensor solutions i.e. establish and lead data engineering practices and pipelines. Assess the effectiveness and accuracy of data sources and data-gathering techniques Develop automation methods for faster labeling of collected data Create architectural approaches for AI software and hardware integration Define AI solution objectives and ensure alignment with business outcomes Implement best practices for AI testing, deployment, and maintenance Develop Machine Learning and Deep Learning methods for event detection and classification Develop efficient frameworks for training and evaluating the event detection/classification models Track the innovations in AI/ML technologies and algorithms/processing/computation and its implementation to develop next-generation fiber sensing solution Review and Optimize existing code/algorithm Create systematic plans to run the experiments to fine-tune the event detection/classification models Plan the tasks and provide estimates and timelines Support marketing/sales team with application notes, white papers and presentations Contribute to simulation model development and data analysis of various sensor solutions Central point of contact, engineer and maintain external consultant work packages. Central point of contact, design and plan software architecture, testing and reliability criteria for on-edge and cloud-based software.

Role Purpose The purpose of this role is to design, test and maintain software programs for operating systems or applications which needs to be deployed at a client end and ensure its meet 100% quality assurance parameters Do 1. Instrumental in understanding the requirements and design of the product/ software Develop software solutions by studying information needs, studying systems flow, data usage and work processes Investigating problem areas followed by the software development life cycle Facilitate root cause analysis of the system issues and problem statement Identify ideas to improve system performance and impact availability Analyze client requirements and convert requirements to feasible design Collaborate with functional teams or systems analysts who carry out the detailed investigation into software requirements Conferring with project managers to obtain information on software capabilities 2. Perform coding and ensure optimal software/ module development Determine operational feasibility by evaluating analysis, problem definition, requirements, software development and proposed software Develop and automate processes for software validation by setting up and designing test cases/scenarios/usage cases, and executing these cases Modifying software to fix errors, adapt it to new hardware, improve its performance, or upgrade interfaces. Analyzing information to recommend and plan the installation of new systems or modifications of an existing system Ensuring that code is error free or has no bugs and test failure Preparing reports on programming project specifications, activities and status Ensure all the codes are raised as per the norm defined for project / program / account with clear description and replication patterns Compile timely, comprehensive and accurate documentation and reports as requested Coordinating with the team on daily project status and progress and documenting it Providing feedback on usability and serviceability, trace the result to quality risk and report it to concerned stakeholders 3. Status Reporting and Customer Focus on an ongoing basis with respect to project and its execution Capturing all the requirements and clarifications from the client for better quality work Taking feedback on the regular basis to ensure smooth and on time delivery Participating in continuing education and training to remain current on best practices, learn new programming languages, and better assist other team members. Consulting with engineering staff to evaluate software-hardware interfaces and develop specifications and performance requirements Document and demonstrate solutions by developing documentation, flowcharts, layouts, diagrams, charts, code comments and clear code Documenting very necessary details and reports in a formal way for proper understanding of software from client proposal to implementation Ensure good quality of interaction with customer w.r.t. e-mail content, fault report tracking, voice calls, business etiquette etc Timely Response to customer requests and no instances of complaints either internally or externally Deliver No. Performance Parameter Measure 1. Continuous Integration, Deployment & Monitoring of Software 100% error free on boarding & implementation, throughput %, Adherence to the schedule/ release plan 2. Quality & CSAT On-Time Delivery, Manage software, Troubleshoot queries, Customer experience, completion of assigned certifications for skill upgradation 3. MIS & Reporting 100% on time MIS & report generation Mandatory Skills: AI for Product Software Engineering. Experience: 3-5 Years.

Role & responsibilities Technical Expertise: • Core AI/ML Skills: o Strong expertise in OCR, NLP, NER, deep learning, and ML model development. o Extensive experience working with Hugging Face Transformers, fine-tuning pre-trained models for NLP, OCR, and entity extraction tasks. o Proven experience in extracting structured data from scanned and digital PDF forms using OCR-based AI models. o Deep expertise in NLP techniques, including Named Entity Recognition (NER), sentiment analysis, topic modeling, text summarization, and relationship extraction from unstructured text sources (social media, literature, email body). o Experience building rapid prototypes using Gradio or Streamlit for ML model demonstrations. o Solid understanding of semantic search, recommendation systems, and applied ML principles. o Proficiency in Python, ML frameworks (PyTorch, TensorFlow), and deep learning techniques. Systems & Tools: o Experience with Hugging Face, PyTorch, TensorFlow, and ML model serving APIs. o Familiarity with Linux-based environments, Git, and cloud platforms (AWS, GCP). o Hands-on knowledge of containerization (Docker, Kubernetes), vector search engines, and knowledge graphs is a plus. o Strong experience working with relational databases (Postgres, MySQL). Additional Credentials (Bonus): o Contributions to AI/ML research papers, open-source projects, or ML competitions. o Experience with vector search engines, embeddings, and retrieval-augmented generation (RAG) is a plus.

Very Urgent: GenAI Consultant / Sr. GenAI Consultant Company: AurumData Solutions Location: Hyderabad Experience: 6-10Years (3+years in AI) Work type: Work From Office Key skills: GenAI, Python, Data analysis, LLM, TensorFlow, PyTorch, SQL, RAG, NLP, LangChain, LangGraph, SQL etc.. JD for Gen AI Consultant: This job description outlines a role for an AI Specialist who will be responsible for developing and implementing AI solutions across various domains. Here's a breakdown of the key aspects: This position combines traditional machine learning expertise with cutting-edge LLM technologies and practical application development skills. The role requires experience across the full AI development stack, from data management and model fine-tuning to building sophisticated agent-based systems and user-facing applications. Core Responsibilities - Developing AI models and algorithms - Implementing machine learning techniques for data analysis - Creating NLP applications (chatbots, virtual assistants) - Data preprocessing and feature engineering - Model evaluation and optimization - Research and innovation in AI - Cross-functional collaboration - Technical documentation Required Skills - Strong background in machine learning and deep learning - Python programming with frameworks like TensorFlow and PyTorch - Independent project management capabilities - Data science workflow experience - Cloud platform knowledge (AWS, Google Cloud, Azure) - Problem-solving with practical solutions - **Experience with vector databases** - **Knowledge of Large Language Models (LLMs)** - **Implementation of Retrieval-Augmented Generation (RAG) systems** - **Experience with LLM fine-tuning techniques** - **Expertise in fine-tuning LLMs for specific domains/tasks** - **Front-end development skills** for AI application interfaces - **Proficiency with Pydantic** for data validation and settings management - **Experience developing agentic frameworks** for autonomous AI systems - **Familiarity with LangChain** for building LLM applications - **Knowledge of Hugging Face** ecosystem and model hub - **Experience with LangGraph** for building complex, multi-agent systems Qualifications - Bachelor's or Master's in Computer Science, AI, or related fields - Experience in startup environments - Passion for AI applications If you are interested, kindly send your CVs to Balaram@aurumdatasolutions.com Regards, Balaram K Mobile No: +91- 9000749410 / 9848771366 USA: +1 (346) 999 0801 Email: Balaram@aurumdatasolutions.com

About the job: Key responsibilities: A. AI-powered branding & digital presence: 1. Build and manage the university's presence on platforms like LinkedIn, GitHub, Hugging Face, Medium, and Kaggle 2. Create and showcase AI use cases and innovations from the university for public visibility 3. Collaborate with the marketing team to integrate AI into campaigns, digital content, and automation tools 4. Develop AI-based storytelling strategies for brand positioning and awareness B. AI projects & innovation: 1. Build in-house AI tools and experiments (Chatbots, Virtual Assistants, Learning Analytics, etc.) 2. Guide AI-driven automation for admissions, marketing workflows, and student engagement 3. Stay on top of trends in GenAI (like ChatGPT, Claude, Sora, etc.) and apply them in campus projects C. Academic & student engagement: 1. Introduce AI to students via workshops, webinars, and hackathons 2. Mentor student projects, promote innovation competitions, and build a university AI portfolio 3. Assist faculty in designing modern, AI-relevant course modules or projects D. Collaboration & community building: 1. Partner with startups, AI communities, and innovation hubs to create collaboration opportunities 2. Represent the university at conferences, meetups, and digital tech panels 3. Build a strong 'AI Lab' or 'Innovation Garage' to experiment with cutting-edge technologies *Experience: 3-7 years Who can apply: Only those candidates can apply who: have minimum 1 years of experience are from Delhi only Salary: ₹ 2,50,000 - 12,00,000 /year Experience: 1 year(s) Deadline: 2025-07-03 23:59:59 Other perks: Informal dress code Skills required: Artificial intelligence and Generative AI Tools Other Requirements: 1. Bachelor’s or master’s in computer Science, AI, data science, or a related field 2. Hands-on with generative AI tools, LLMs (ChatGPT, Claude, Gemini, etc.), and platforms like Hugging Face, GitHub, Notion, etc. 3. Proven track record in executing or showcasing AI projects with visible public reach About Company: Saroj Institute of Technology and Management was established in the year 2001 and has strived to provide the best engineering education to its students through well-qualified and dedicated faculty and the provision of well-equipped modern labs. The vision of the college is to continuously excel, create awareness about upcoming technologies, and provide platforms to budding research workers for achieving their rightful place in the scientific community.

About the job: Role: AI Innovation Lead, Saroj International University, Lucknow Key responsibilities: A. AI-powered branding & digital presence: 1. Build and manage the university's presence on platforms like LinkedIn, GitHub, Hugging Face, Medium, and Kaggle 2. Create and showcase AI use cases and innovations from the university for public visibility 3. Collaborate with the marketing team to integrate AI into campaigns, digital content, and automation tools 4. Develop AI-based storytelling strategies for brand positioning and awareness B. AI projects & innovation: 1. Build in-house AI tools and experiments (chatbots, virtual assistants, learning analytics, etc.) 2. Guide AI-driven automation for admissions, marketing workflows, and student engagement 3. Stay on top of trends in GenAI (like ChatGPT, Claude, Sora, etc.) and apply them in campus projects C. Academic & student engagement: 1. Introduce AI to students via workshops, webinars, and hackathons 2. Mentor student projects, promote innovation competitions, and build a university AI portfolio 3. Assist faculty in designing modern, AI-relevant course modules or projects D. Collaboration & community building: 1. Partner with startups, AI communities, and innovation hubs to create collaboration opportunities 2. Represent the university at conferences, meetups, and digital tech panels 3. Build a strong 'AI Lab' or 'Innovation Garage' to experiment with cutting-edge technologies Preferred traits: 1. Deep interest in AI and future technologies. 2. Creative thinker with a strong understanding of branding, outreach, and digital storytelling. 3. Tech-savvy and entrepreneurial mindset with strong execution skills. *Salery: 20k-1,00,000 monthly Who can apply: Only those candidates can apply who: have minimum 1 years of experience are from Lucknow only Salary: ₹ 2,40,000 - 12,00,000 /year Experience: 1 year(s) Deadline: 2025-07-03 23:59:59 Other perks: Informal dress code Skills required: Artificial intelligence and Generative AI Tools Other Requirements: 1. Bachelor’s or master’s in computer science, AI, data science, or a related field 2. Hands-on with generative AI tools, LLMs (ChatGPT, Claude, Gemini, etc.), and platforms like Hugging Face, GitHub, Notion, etc. 3. Proven track record in executing or showcasing AI projects with visible public reach. 4. Experience required: 3-7 years About Company: Saroj Institute of Technology and Management was established in the year 2001 and has strived to provide the best engineering education to its students through well-qualified and dedicated faculty and the provision of well-equipped modern labs. The vision of the college is to continuously excel, create awareness about upcoming technologies, and provide platforms to budding research workers for achieving their rightful place in the scientific community.

RESPONSIBILITIES: Develop and contribute to end-to-end architecture of highly scalable, distributed machine learning solutions for AI/ML/DL/NLP platforms. Contribute to the research and development of advanced generative AI models such as LLMs, SLM’s including GANs, VAEs, autoregressive models, and novel architectures. Deployment of generative AI models, frameworks, and algorithms into scalable REST API services. Conduct research and stay up-to-date with the latest advancements in generative AI to ensure our solutions are at the forefront of the industry. Perform code reviews, identify areas for improvement, and optimize AI models for efficiency and scalability. Collaborate with data scientists and engineers to pre-process and curate datasets suitable for AI applications. Continuously evaluate and improve the performance, accuracy, and reliability of Deep learning and AI models through experimentation and iteration. Work collaboratively with engineering and product development teams and cross-functional partners to ensure timely and successful delivery of generative AI projects, meeting Alstom’s expectations.

Senior Technical Lead (AI-DLML) Job Role & responsibilities Understand operational needs by collaborating with client specialized teams Formalize needs into mathematical models and problems Explore databases (including very big databases, in tables or unstructured, including open ones) to mine patterns Choose relevant techniques and create data processing solutions for the identified needs Present and promote the solutions to the relevant stakeholders Implement and deliver solutions by contributing individually as well as leading teams Manage and transmit knowledge through appropriate documentation and events (training courses, seminar, blog posts, etc.) Mandatory Skills Minimum 7+ years of hands-on professional experience in machine learning (ML), deep learning (DL) and artificial intelligence (AI) Minimum 7+ years of coding skills in programming languages (required: Python; appreciated: R, Java/ Scala), SQL 5+ years of proficiency in popular ML frameworks (TensorFlow, PyTorch, Keras, MXNet, Theano, Sklearn, Pandas, NumPy, Matplotlib, etc.) Deliver end to end Data Science projects including understanding of business requirements, exploratory data analysis, data processing, aggregating data, feature engineering & selection, building, validating, and deploying predictive models, explaining model results and insights to client/stakeholders Proficiency in AI, ML, DL techniques such as regression, classification, segmentation, anomaly and novelty detection, dimensionality reduction, tree-based algorithms, support vector machine, recommender system, attribution modelling to address business problems. Deep understanding of neural networks, deep learning, and generative models (e.g., RNNs, CNNs, LSTMs, GANs, VAEs, etc.). Experience with 2-3 ML/DL model deployment in Azure (AzureML, Databricks, etc) is preferable Ability to work independently and deal with ambiguity. Strong analytical and problem-solving skills. Excellent presentation and communication skills. Strong written and verbal communication skills. Highly motivated and collaborative team player with strong interpersonal skills

Position : Senior AI Engineer Experience Required : 3+ Years Company : Academian (EdTech Domain) Work Location: Pune Notice Period: we are looking for Immediate - 30 days NP (Candidate having 60 days Notice Period will not be considered) Role Overview We are seeking an experienced Senior AI Engineer to spearhead the development and deployment of cutting-edge AI solutions. The ideal candidate will possess a strong foundation in AI algorithms, hands-on expertise with machine learning and deep learning frameworks, and a forward-thinking approach to leveraging emerging AI technologies like AGENTIC AI, RAG, Graph Databases, and open-source LLMs. This role also involves guiding the team to deliver scalable, efficient, and impactful AI products aligned with the EdTech domain. Key Responsibilities: AI Model Development : Design, train, and deploy AI models for diverse use cases, including: Computer Vision : Image recognition, object detection, segmentation etc. Natural Language Processing (NLP) : Text classification, summarization, question-answering systems etc. Generative AI : Fine-tuning and deploying open-source large language models (LLMs) and Private Models. RAG (Retrieval-Augmented Generation) : Implement AI systems combining retrieval with generative models. Optimize AI models for performance, scalability, and accuracy using core algorithms (regression, KNN, SVM, etc.). Open-Source LLM Development : Develop and fine-tune open-source LLMs to cater to domain-specific needs. Deploy open-source LLMs effectively in production environments, ensuring scalability and low latency. Explore and implement open-source tools and frameworks like Hugging Face, LangChain, and Transformer libraries. Integration & Architecture : Integrate AI solutions with Vector/Graph db for advanced data relationships and queries. Implement and manage MLOps / LLMOps pipelines for efficient deployment, monitoring, and scaling of AI models. Leadership : Mentor and guide junior engineers, fostering innovation and skill development. Collaborate with cross-functional teams, including product management, data engineering, and software development, to align AI strategies with business goals. Infrastructure : Leverage cloud AI platforms (AWS SageMaker, Google Vertex AI, Azure AI) for scalable solutions. Adopt open-source frameworks and tools (e.g., TensorFlow, PyTorch, Hugging Face) for experimentation and development. Best Practices : Establish robust practices for coding, testing, and documenting AI solutions. Stay at the forefront of AI research and emerging trends like AGENTIC AI, RAG, and open-source LLM development. Requirements: Experience 3+ years of experience in AI/ML Proven expertise in designing and deploying AI solutions in production environments. Technical Skills Strong proficiency in machine learning frameworks (TensorFlow, PyTorch, Scikit-learn). Hands-on experience with tools like Hugging Face, OpenAI API, and Google AI tools. In-depth understanding of core ML algorithms (regression, KNN, clustering, etc.) and deep learning models . Familiarity with open-source LLM development and deployment Experience with RAG architectures , Graph Databases , and LLMOps practices. Expertise in CI/CD pipelines, containerization (Docker, Kubernetes), and cloud AI platforms (AWS, Google Cloud, Azure). Domain Knowledge Familiarity with EdTech standards (LTI, xAPI, QTI) and adaptive learning systems is a strong plus. Soft Skills Exceptional leadership and team mentoring abilities. Strong problem-solving skills and excellent communication for technical and non-technical stakeholders. Education Bachelors or Masters degree in Computer Science, AI, Data Science, or related fields. Why Join Us: Opportunity to lead AI initiatives that shape the future of education technology. Work in a collaborative, mission-driven environment with a focus on innovation. Engage with impactful projects and cutting-edge AI technologies. Competitive salary, benefits, and opportunities for professional growth.

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. ---

Job Description Conduct research in Artificial Intelligence, collaborating with faculty on various projects. Develop and implement machine learning algorithms and experiments. Analyze data and interpret research findings. Prepare research papers for publication in conferences and journals. Stay current with trends and advancements in AI. Document user requirements accurately. Create minutes of meetings. Provide frequent and timely project reports and updates. Perform any other miscellaneous tasks as assigned from time to time. Job Category Project

Halo believes in innovation by inclusion to solve digital problems . As an international agency of over 200 people specializing in interactive media strategy and development, we embrace equity and empowerment in a serious way. Our interdisciplinary teams of unique designers, developers and entrepreneurial minds with a variety of backgrounds, viewpoints, and skills connect to solve business challenges of every shape and size. We empathize to form deep, meaningful relationships with our clients so they can do the same with their audience. Working at Halo feels like belonging . Learn more about our philosophy, benefits, and team at https://halopowered.com/ As an AI Architect, you will lead the design of scalable, secure, and modern technology solutions, leveraging artificial intelligence, cloud platforms, and microservices while ensuring alignment with AI governance principles, agile delivery, and platform modernization strategies Overview We re seeking AI Engineers to help design, build, and deploy next-gen AI solutions across Mercer s global ecosystem. You will work on Generative AI, RAG pipelines, and AI agents that power internal tools, chatbots, and decision-support systems used by our consultants. This hands-on engineering role bridges full-stack software development and advanced AI techniques. Design and implement AI-driven applications , copilots, and conversational agents using LLMs (OpenAI, Anthropic, Azure OpenAI). Build and maintain RAG pipelines using text chunking

Job title: R&D Change Management Specialist Location: Hyderabad About the job Our Team: Sanofi Global Hub (SGH) is an internal Sanofi resource organization based in India and is setup to centralize processes and activities to support Specialty Care, Vaccines, General Medicines, CHC, CMO, and R&D, Data & Digital functions . Change Management Specialist As a Change Management Specialist, you play a pivotal role in ensuring successful transformations and modernizations across the organization. The key focus is on the people side of change, preparing, supporting, and equipping employees to adopt and use changes related to business processes, systems, technology, job roles, and organizational structures across Sanofi R&D. He/she will be responsible for coordinating tasks with the R&D change specialist assistants when applicable. Key responsibilities would include: Develop and Implement Change Strategies Leverage a structured methodology to create change management strategies and plans that maximize employee adoption and usage of required changes utilizing the standard Sanofi Change Management playbook and approaches. Identify and engage key stakeholders, ensuring their buy-in and support throughout the change process Anticipate and minimize resistance from impacted employees and stakeholders. Drive Adoption and Proficiency: Increase adoption, utilization, and proficiency with changes, ultimately enhancing benefit realization, ROI, and outcomes. Collaborate with senior leaders, executives, people managers, and project teams to integrate change management activities. Assess Impact and Support Communication: Conduct impact analyses and assess change readiness. Identify and monitor the adoption before and after go live Based on these metrics, develop action plans to mitigate resistance and enhance adoption. Support the execution of the change management plans Enable the design, development, delivery, and management of key communications and any other activities fostering adoption of the change. Pursue this support over an hypercare period to secure strong change adoption Mitigate Risks and Ensure Preparedness: Assess and mitigate risks associated with change initiatives. Ensure employees are adequately prepared for upcoming changes. Measure change management effectiveness: Monitor the effectiveness of change activities, report on progress and outcomes. About you Experience in Change Management, Communications and/or Marketing, preferably in the pharmaceutical field is desired. Project management skills/experience is desired. A solid understanding of pharmaceutical processes, product development, and regulatory requirements. Familiarity with drug development stages, clinical trials, and manufacturing processes. Proficiency in change management principles, methodologies, and best practices. Ability to assess the impact of changes on processes, systems, and personnel. Excellent verbal and written communication to convey change-related information effectively. Ability to engage stakeholders, manage expectations, and address concerns. Strong problem-solving skills to evaluate proposed changes and their implications. Capacity to identify risks, benefits, and potential obstacles. Experience working cross-functionally with teams, including R&D, quality, and regulatory affairs. Ability to influence and guide stakeholders toward successful change adoption. Comfort with evolving processes and changing priorities during product development. Agility to handle frequent adjustments and updates. Education : Bachelors Degree or the equivalent in Life Sciences, Business, Communication or a related field, Certification in change management (e.g., Prosci, ACMP) is a plus ; Familiarities with artificial intelligence would be a plus Languages : Excellent communications skills, both verbal and written in English. Pursue Progress . Discover Extraordinary . Progress doesn t happen without people - people from different backgrounds, in different locations, doing different roles, all united by one thing: a desire to make miracles happen. You can be one of those people. Chasing change, embracing new ideas and exploring all the opportunities we have to offer. Let s pursue progress. And let s discover extraordinary together. At Sanofi, we provide equal opportunities to all regardless of race, color, ancestry, religion, sex, national origin, sexual orientation, age, citizenship, marital status, disability, or gender identity. Watch our ALL IN video and check out our Diversity Equity and Inclusion actions at sanofi.com !

Job Description We invite applications for the positions of Professor, Associate Professor, and Assistant Professor in the following areas: Theoretical Computer Science Internet of Things (IoT) Quantum Computing Blockchain Technology Information Security Cyber-Physical Systems Autonomous Drones Augmented Reality / Virtual Reality (AR/VR) Machine Vision Game Programming Speech & Natural Language Processing (NLP) Web Application Security Cloud & Edge Computing Parallel Computing Human-Computer Interaction Eligibility & Requirements Ph.D. in a relevant area (from top 200 ranked institutions preferred); those who have submitted thesis may also apply. At least one among B.Tech/M.Tech/Ph.D. must be in CSE Teaching/Industry/Research experience in reputed institutions Minimum 3 Q1 journal publications Patents or consultancy work desirable Strong hands-on research/project background Job Category Research and Teaching Faculty

Job Title: Senior ML Manager Location: Bangalore, India About Us Role Summary As a Senior ML Manager at Nurix AI, you will play a pivotal role in leading and mentoring a team of talented ML engineers and researchers. You will materilize the technical vision for our core AI components, oversee the execution of our ambitious Voice AI roadmap, and ensure the delivery of high-impact machine learning solutions. This role requires a blend of deep technical expertise, strong leadership capabilities, and a passion for innovation in the AI space. Key Responsibilities: Provide technical leadership and direction for key ML initiatives, including custom ASR/TTS,V2V development (with SSMs like Mamba, Hamba), Agentic RAG systems , and LLM orchestration. Manage and mentor a team of ML engineers and researchers, fostering their growth and ensuring high performance. Oversee the end-to-end lifecycle of ML projects, from ideation and research through development, deployment (in collaboration with MLOps), and iteration. Drive architectural decisions for ML systems, ensuring scalability, reliability, and performance for real-time voice applications. Collaborate closely with product management, engineering teams, and stakeholders to define project requirements, priorities, and deliverables. Stay abreast of the latest advancements in AI/ML, particularly in speech technology, NLP, and large language models, and champion their adoption where relevant. Lead the design and implementation of research and development plans for next-generation voice AI capabilities, including V2V support and multi-lingual systems. Contribute to hiring and building a world-class ML team. Required Qualifications & Skills: Bachelors Degree in Computer Science or related field 8+ years of hands-on experience in machine learning, with a significant portion in a leadership or senior technical role. Proven track record of successfully delivering complex ML projects into production. Strong expertise in one or more of the following areas: Speech Recognition (ASR), Text-to-Speech (TTS), Natural Language Processing (NLP), Dialogue Systems, Large Language Models (LLMs), Retrieval Augmented Generation (RAG). Proficiency in Python and common ML frameworks (e.g., PyTorch, TensorFlow, JAX). Excellent understanding of ML system design, model evaluation, and MLOps principles. Demonstrated experience in leading, mentoring, and managing technical teams. Exceptional problem-solving, analytical, and communication skills. Preferred Qualifications & Skills: Master s or PhD in Computer Science, Artificial Intelligence, Machine Learning, or a related field Experience with State Space Models (SSMs) or other cutting-edge sequence modeling architectures. Familiarity with deploying ML models in real-time, low-latency environments (e.g., using Triton, Nvidia Riva, SGLang, vLLM). Experience with cloud platforms (AWS, GCP, Azure) and their ML services. Contributions to the ML research community (e.g., publications, open-source projects). Experience in developing AI solutions for multiple languages. What We Offer A vibrant and dynamic work environment fostering professional growth and innovation. Competitive compensation and performance-based incentives. A front-row seat in the GenAI revolution, working with a team of passionate, like-minded innovators.

Role Purpose The purpose of the role is to support process delivery by ensuring daily performance of the Production Specialists, resolve technical escalations and develop technical capability within the Production Specialists. Do Oversee and support process by reviewing daily transactions on performance parameters Review performance dashboard and the scores for the team Support the team in improving performance parameters by providing technical support and process guidance Record, track, and document all queries received, problem-solving steps taken and total successful and unsuccessful resolutions Ensure standard processes and procedures are followed to resolve all client queries Resolve client queries as per the SLAs defined in the contract Develop understanding of process/ product for the team members to facilitate better client interaction and troubleshooting Document and analyze call logs to spot most occurring trends to prevent future problems Identify red flags and escalate serious client issues to Team leader in cases of untimely resolution Ensure all product information and disclosures are given to clients before and after the call/email requests Avoids legal challenges by monitoring compliance with service agreements Handle technical escalations through effective diagnosis and troubleshooting of client queries Manage and resolve technical roadblocks/ escalations as per SLA and quality requirements If unable to resolve the issues, timely escalate the issues to TA & SES Provide product support and resolution to clients by performing a question diagnosis while guiding users through step-by-step solutions Troubleshoot all client queries in a user-friendly, courteous and professional manner Offer alternative solutions to clients (where appropriate) with the objective of retaining customers and clients business Organize ideas and effectively communicate oral messages appropriate to listeners and situations Follow up and make scheduled call backs to customers to record feedback and ensure compliance to contract SLAs Build people capability to ensure operational excellence and maintain superior customer service levels of the existing account/client Mentor and guide Production Specialists on improving technical knowledge Collate trainings to be conducted as triage to bridge the skill gaps identified through interviews with the Production Specialist Develop and conduct trainings (Triages) within products for production specialist as per target Inform client about the triages being conducted Undertake product trainings to stay current with product features, changes and updates Enroll in product specific and any other trainings per client requirements/recommendations Identify and document most common problems and recommend appropriate resolutions to the team Update job knowledge by participating in self learning opportunities and maintaining personal networks Deliver NoPerformance ParameterMeasure 1ProcessNo. of cases resolved per day, compliance to process and quality standards, meeting process level SLAs, Pulse score, Customer feedback, NSAT/ ESAT. 2Team ManagementProductivity, efficiency, absenteeism 3Capability developmentTriages completed, Technical Test performance Mandatory Skills: AI ML Governance Product Engineering. Experience: 5-8 Years.

Who you are & how you can contribute? We are looking for highly skilled Systems Engineer (freelancers) to contribute to AI training through data annotation and domain-specific expertise This is a remote, flexible opportunity where you can work on cutting-edge AI projects, applying your domain knowledge to refine AIs understanding and performance Key Responsibilities: Validate and refine AI-assisted circuit and embedded system designs Review AI-generated PCB layouts and microcontroller-based solutions Contribute to training AI models in electronic component analysis Must Required Traits: Strong academic background in Electronics Engineering (PhD preferred) Teaching, tutoring, or content creation experience in the field is a plus Familiarity with AI, machine learning, or data annotation is beneficial Strong analytical skills and attention to detail Location : - Mumbai, Delhi / NCR, Bengaluru , Kolkata, Chennai, Hyderabad, Ahmedabad, Pune,India

Who you are & how you can contribute? We are looking for highly skilled Systems Engineer (freelancers) to contribute to AI training through data annotation and domain-specific expertise This is a remote, flexible opportunity where you can work on cutting-edge AI projects, applying your domain knowledge to refine AIs understanding and performance Key Responsibilities: Validate and refine AI-assisted circuit and embedded system designs Review AI-generated PCB layouts and microcontroller-based solutions Contribute to training AI models in electronic component analysis Must Required Traits: Strong academic background in Electronics Engineering (MSc preferred) Teaching, tutoring, or content creation experience in the field is a plus Familiarity with AI, machine learning, or data annotation is beneficial Strong analytical skills and attention to detail Location : - Mumbai, Delhi / NCR, Bengaluru , Kolkata, Chennai, Hyderabad, Ahmedabad, Pune,India

Who you are & how you can contribute? We are looking for highly skilled Civil Engineers (freelancers) to contribute to AI training through data annotation and domain-specific expertise This is a remote, flexible opportunity where you can work on cutting-edge AI projects, applying your domain knowledge to refine AIs understanding and performance Key Responsibilities: Review and annotate AI-generated structural and civil engineering solutions Assess blueprints and construction-related AI outputs Ensure AI models generate accurate and logical engineering designs Must Required Traits: Strong academic background in Civil Engineering (PhD preferred) Teaching, tutoring, or content creation experience in the field is a plus Familiarity with AI, machine learning, or data annotation is beneficial Strong analytical skills and attention to detail Location : - Mumbai, Delhi / NCR, Bengaluru , Kolkata, Chennai, Hyderabad, Ahmedabad, Pune,India

Greetings from Nihon Technology Pvt Ltd!!! We have an excellent opening with us for the following position. Work Location: Chennai/Remote Experience : 8+years Notice period : Immediate - 30days Period: Long-term Budget : Can be discussed for right candidate Key Responsibilities: Provide technical leadership and guidance to a team of AI/ML and security engineers. Drive the design, development, and implementation of AI/ML-powered security solutions. Establish and enforce coding standards, best practices, and architectural guidelines. Conduct code reviews and provide constructive feedback to team members. Stay up-to-date with the latest advancements in AI/ML, Gen AI, and security technologies. Lead the development of AI/ML models for threat detection, anomaly detection, vulnerability analysis, and security automation. Design and implement secure AI/ML pipelines, ensuring data integrity and model security. Develop and deploy Gen AI-based solutions for security tasks such as code analysis, threat intelligence, and security awareness training. Integrate AI/ML models with existing security infrastructure and tools. Mentor and coach junior engineers, fostering their technical growth and development. Conduct performance reviews and provide feedback to team members. Promote a collaborative and innovative team environment. Qualifications: Bachelor's or Master's degree in Computer Science, Engineering, or a related field. [5+] years of experience in software development, with a focus on Micro Service Design Patterns, Python , Fast API Frameworks and AI/ML Technology . [3+] years of experience in security engineering or a related field. Strong understanding of security principles, threat modeling, and vulnerability analysis. Preferred Skills: Experience with security information and event management (SIEM/Splunk) and SOAR systems. Experience with Deep Learning Models and Transformers, GEN AI LLM. Experience in Devops activity. If you are interested, kindly revert us with your updated profile with the following details to pushpadevi.r@nihontechnology.com Total & relevant years of experience: Current CTC: Expected CTC: Notice period: Current company: Current location: Preferred location: Kindly get in touch with me for any further clarifications. Regards, Pushpa(HR)

Role & responsibilities Job Summary: We are looking for an experienced AI Consultant (Part-time / Consultant) with a background in IT services or eCommerce and a strong focus on AI over the last 5 years. The ideal candidate will have deep technical knowledge combined with the ability to advise, design, and guide the implementation of AI solutions for business transformation. This is a strategic, high-impact role suitable for professionals looking for flexible engagement. Key Responsibilities: AI Strategy & Advisory: Partner with business and technical teams to identify AI opportunities across domains. Define AI adoption roadmaps tailored to the clients business objectives. Conduct PoCs, solution evaluations, and ROI analysis. Solutioning & Delivery Support: Provide architectural and design guidance for AI/ML solutions. Advise on the selection and customization of AI models and platforms. Offer hands-on support or oversight in key phases such as data preparation, model building, and deployment. Stakeholder Engagement: Act as a trusted advisor for senior stakeholders, translating business needs into AI-driven solutions. Lead or participate in workshops and knowledge sessions for client teams. Recommend tools, platforms, and best practices based on industry standards. Required Skills & Experience: 12 - 22 years of total experience in IT services or eCommerce domains. At least 5 years of recent, dedicated experience in AI/ML roles. Strong understanding of ML algorithms, NLP, computer vision, and generative AI (e.g., LLMs). Hands-on expertise in Python and popular ML frameworks (e.g., TensorFlow, PyTorch, Hugging Face). Familiarity with AI/ML deployment on cloud platforms like AWS, Azure, or GCP. Strong consulting, presentation, and communication skills. Preferred Qualifications: Prior consulting or part-time project-based engagement experience. Knowledge of AI applications in eCommerce such as personalization, fraud detection, and customer analytics. Familiarity with MLOps and production-grade AI pipeline deployment. Advanced degree or AI/ML certification (e.g., AWS/GCP/Azure ML certifications). Engagement Details: Flexible part-time hours or milestone-based consultant engagement. Remote or hybrid working based on project/client needs. Engagement model and duration to be discussed based on mutual alignment