1435 Generative Ai Jobs - Page 12

As a Lead AI/ML Researcher, your primary responsibility will be to spearhead the research, design, and development of cutting-edge AI and ML models that power an innovative AI-driven no-code development platform and a scalable AI inference and training orchestration system. Your role involves building scalable ML pipelines, optimizing models for production, mentoring team members, and translating research innovations into impactful product features that align with business objectives. You will be tasked with designing and implementing state-of-the-art machine learning and deep learning models for Natural Language Processing (NLP), computer vision, and generative AI that are relevant to the field of no-code AI coding and AI orchestration platforms. Additionally, you will develop, optimize, and fine-tune large-scale models, including transformer-based architectures and generative models. It will be crucial for you to architect and oversee end-to-end machine learning pipelines encompassing data processing, training, evaluation, deployment, and continuous monitoring. Collaboration with software engineering teams will be essential to ensure the successful productionization of models, focusing on factors such as reliability, scalability, and performance. Your role will also involve researching and integrating cutting-edge AI techniques and algorithms to uphold product competitiveness. Leading AI research efforts to contribute to intellectual property generation, patents, and academic publications will be a key aspect of your responsibilities. Moreover, you are expected to provide technical leadership and mentorship to junior AI/ML team members and collaborate cross-functionally with product managers, UX designers, and engineers to deliver AI-powered product features. Keeping abreast of AI research trends and technologies and evaluating their applicability, as well as ensuring compliance with data privacy and security standards in AI model development, will be integral to your role. Additionally, possessing experience with AI-driven no-code platforms, familiarity with AI workflow orchestration frameworks, knowledge of probabilistic modeling and uncertainty quantification, hands-on experience with MLOps tools and practices, familiarity with cloud platforms and container orchestration, contributions to open-source AI projects or patent filings, understanding of AI ethics and data privacy compliance, and a strong academic research background with publications in top-tier AI/ML conferences are considered advantageous skills. Qualifications for this role include a PhD in Computer Science, Electrical Engineering, Statistics, Mathematics, or related fields with a specialization in Artificial Intelligence, Machine Learning, or Deep Learning. A strong research publication record in reputable AI/ML conferences, demonstrated experience in developing and deploying deep learning models, proficiency in NLP and/or computer vision, hands-on experience with Python and ML frameworks, experience in building scalable ML pipelines, and knowledge of distributed training, GPU acceleration, and cloud infrastructure are highly desirable. Excellent problem-solving, analytical, and communication skills, along with prior experience in mentoring or leading junior AI researchers/engineers, will be beneficial for this position.,

At PwC, our team focused on data and analytics applies data to drive insights and guide strategic business decisions. Utilizing advanced analytics techniques, we assist clients in optimizing operations and achieving their goals. As a member of our data analysis team, you will specialize in leveraging sophisticated analytical methods to extract valuable insights from extensive datasets, enabling data-driven decision-making. Your role will involve utilizing skills in data manipulation, visualization, and statistical modeling to support clients in resolving intricate business challenges. We are seeking a visionary Generative AI Architect at the Manager level to join PwC US - Acceleration Center. In this leadership position, you will be responsible for designing and implementing cutting-edge Generative AI solutions using technologies such as Azure OpenAI Service, GPT models, and multi-agent frameworks. Your role will involve driving innovation through scalable cloud architectures, optimizing AI infrastructure, and leading cross-functional teams in deploying transformative AI solutions. The ideal candidate will possess deep expertise in Generative AI technologies, data engineering, Agentic AI, and cloud platforms like Microsoft Azure, with a strong emphasis on operational excellence and ethical AI practices. Responsibilities: - **Architecture Design:** Design and implement scalable, secure, and high-performance architectures for Generative AI applications. Integrate Generative AI models into existing platforms and lead the development of AI agents capable of orchestrating multi-step tasks. - **Model Development And Deployment:** Fine-tune pre-trained generative models, develop data collection and preparation strategies, and deploy appropriate Generative AI frameworks. - **Innovation And Strategy:** Stay updated on the latest Generative AI advancements, recommend innovative applications, and define and execute AI strategy roadmaps. - **Collaboration And Leadership:** Collaborate with cross-functional teams, mentor team members, and lead a team of data scientists, GenAI engineers, devops, and software developers. - **Performance Optimization:** Monitor and optimize the performance of AI models, agents, and systems to ensure robustness and accuracy, as well as optimize computational costs and infrastructure utilization. - **Ethical And Responsible AI:** Ensure compliance with ethical AI practices, data privacy regulations, and governance frameworks, and implement safeguards against bias and misuse. Requirements: - Bachelors or masters degree in computer science, Data Science, or related field. - 8+ years of relevant technical/technology experience, with expertise in GenAI projects. - Advanced programming skills in Python and fluency in data processing frameworks like Apache Spark. - Experience with GenAI foundational models and open-source models. - Proficiency in system design for Agentic architecture and real-time data processing systems. - Familiarity with cloud computing platforms and containerization technologies. - Strong leadership, problem-solving, and analytical abilities. - Excellent communication and collaboration skills. Nice To Have Skills: - Experience with technologies like Datadog and Splunk. - Familiarity with emerging Model Context Protocols and dynamic tool integration. - Relevant solution architecture certificates and continuous professional development in data engineering and GenAI. Professional And Educational Background: BE / B.Tech / MCA / M.Sc / M.E / M.Tech / MBA/ Any Degree.,

As a Data Scientist AI/ML Developer, you will be responsible for various key tasks related to data collection, analysis, model development, and implementation of advanced technologies. You should have a strong understanding of data science methodologies and experience in working with machine learning models. This position is suitable for freshers as well as candidates with up to 5 years of experience. Your primary responsibilities will include gathering, cleaning, and analyzing large datasets for diverse applications. You will also be involved in building, training, and evaluating machine learning and deep learning models for tasks related to computer vision, natural language processing (NLP), and generative AI. You will utilize OpenCV to create solutions for image classification, object detection, facial recognition, and other vision-based tasks. Additionally, you will develop and fine-tune Generative Adversarial Networks (GANs) for synthetic data generation and image manipulation. Collaboration with cross-functional teams is essential in this role, as you will work closely with data engineers, software developers, and business analysts to integrate data-driven insights into production environments. Staying updated with the latest developments in AI, data science, and generative AI is crucial, and you should be able to apply best practices to projects effectively. Ensuring that machine learning models and data pipelines are scalable, efficient, and ready for production deployment is also a key part of your responsibilities. In terms of required skills, you should have strong proficiency in computer vision techniques using OpenCV, hands-on experience with Generative Adversarial Networks (GANs), and familiarity with LangChain, GPT models, and other generative AI frameworks. Proficiency in Python and relevant ML libraries such as TensorFlow and PyTorch is essential. Expertise in data preprocessing, feature engineering, and working with large datasets is also required. Preferred skills include experience in Natural Language Processing (NLP), model deployment using cloud services and containerization, familiarity with transformer architectures, and knowledge of big data technologies. Additionally, possessing soft skills such as strong problem-solving abilities, effective communication, and a continuous learning mindset will be advantageous in this role.,

As a visionary Senior Director, Artificial Intelligence (AI) at Quorum Software, you will play a pivotal role in establishing and leading the AI Innovation Center. Your primary focus will be on designing, developing, and deploying cutting-edge AI solutions across our software portfolio, contributing to the acceleration of our AI strategy. Your responsibilities will include shaping the company's AI vision, leading a cross-functional team of data scientists, ML engineers, and AI product innovators, and collaborating with product, engineering, and customer teams to introduce AI-infused applications to the market. Key Responsibilities: - Establish and Lead the AI Innovation Center to drive R&D in AI and ML technologies for energy-specific software use cases. - Define and execute the company's AI strategy, encompassing tooling, platforms, and applied AI models. - Oversee the development and deployment of ML models, agentic systems, and generative AI applications to enhance customer experience and business outcomes. - Partner closely with various teams to embed AI into product roadmaps and deliver measurable business value. - Guide and cultivate a high-performing AI & Data Science team, fostering a culture of innovation, experimentation, and impact. - Ensure the responsible and ethical use of AI, adhering to industry standards and regulatory requirements, particularly within the energy industry. - Evaluate and select AI/ML tools, frameworks, and platforms while staying abreast of rapid advances in the field. - Represent the company in industry forums, conferences, and AI research communities to drive innovation and thought leadership. Requirements: - Bachelor's or Master's degree in Computer Science, Data Science, AI, or a related technical field. A Master's degree is preferred. - 10+ years of experience in AI/ML, with a minimum of 5 years in a leadership role. - Proven track record of applying AI, machine learning, and generative/agentic AI in commercial software products. - Strong understanding of AI tooling, infrastructure, and cloud-native AI/ML pipelines. - Previous experience in the energy sector or with software tailored for industrial domains. - Demonstrated ability to build and lead multidisciplinary teams and deliver AI-based solutions with tangible business impact. - Excellent communication and stakeholder management skills, including experience presenting to executive leadership. Nice to Have: - Experience with AI agents, autonomous systems, or decision intelligence. - Familiarity with energy industry data types, standards, and use cases such as grid management, asset performance, and forecasting. - Knowledge of MLOps, data governance, and responsible AI practices. Note: Employment eligibility to work with Quorum Software in India is required, as the company will not pursue visa sponsorship for this position. If you require reasonable accommodation during the application and/or interview process, please notify a member of the Human Resources Department.,

You should hold a Bachelors degree in a technical or quantitative field from an accredited college or university. A Masters or PhD in Computer Science, Statistics, Mathematics, Engineering, Bioinformatics, Physics, Operations Research, or related fields is preferred. Additionally, you should have at least 7 years of relevant experience in Generative AI and NLP. Your background should include a strong mathematical foundation, enabling you to comprehend algorithms and methodologies from both a mathematical and intuitive perspective. Key Skills and Experience required for this role include excellent communication skills, stakeholder management abilities, and the capacity to translate problem statements into analytical approaches. Proficiency in Python programming is essential. You should possess robust experience in Machine Learning and forecasting, with a track record of working on actual projects for application purposes. Specialization in GenAI and NLP is crucial, including extensive knowledge in retrieval augmented generation and a proficient understanding of transformer architecture and traditional NLP techniques. Furthermore, you should be proficient in creating APIs for backend systems. A keen interest in research, staying updated with the latest advancements in GenAI, and a willingness to develop and experiment with your own approaches are highly valued for this role.,

You are an experienced AI Application Architect responsible for leading the design and integration of AI/ML capabilities into enterprise applications. Your main objective is to architect intelligent, scalable, and reliable AI solutions that are in line with both business goals and technical strategies. You will work closely with data scientists, ML engineers, and application developers to ensure seamless end-to-end solutions. Additionally, you will be required to select and implement appropriate AI frameworks, APIs, LLMs, and infrastructure tools, as well as drive architecture decisions related to GenAI, NLP, CV, predictive analytics, and agentic AI systems. You will also establish MLOps pipelines for training, testing, and deploying models at scale while ensuring compliance with AI ethics, privacy laws, and data governance policies. Furthermore, you will evaluate emerging technologies, tools, and platforms for enterprise use and act as a technical advisor to leadership on AI opportunities and risks. In terms of required skills, you should have a strong background in AI/ML architecture and solution design, along with hands-on experience in ML frameworks such as TensorFlow, PyTorch, and Scikit-learn. Proficiency in LLMs and generative AI tools like OpenAI, Azure OpenAI, LangChain, and Hugging Face is necessary. A solid programming background in Python (FastAPI, Flask) and familiarity with Java/Node.js are essential. Experience with cloud platforms (AWS/GCP/Azure) and ML toolkits like SageMaker, Azure ML, and Vertex AI is also crucial. Additionally, a good understanding of microservices, REST APIs, GraphQL, and event-driven architecture is required. Knowledge of vector databases such as Pinecone, FAISS, Chroma, or Weaviate, as well as proficiency with CI/CD, Docker, Kubernetes, MLflow, Airflow, or similar tools, is expected. Preferred qualifications include experience with multi-agent systems, LangChain, Autogen, or Agentic AI frameworks, familiarity with data governance, model drift detection, and performance monitoring, and prior experience in industries like BFSI, Retail, Healthcare, or Manufacturing. Education-wise, a Bachelor's or master's degree in computer science, Artificial Intelligence, Data Science, or a related field is required. Certifications in AI/ML, cloud (AWS/GCP/Azure), or MLOps are considered a plus.,

Role & responsibilities SME for clients: Serve as the primary point of contact for clients in Gen AI needs, including senior executives, to understand their needs and deliver tailored generative AI solutions. Project Leadership: Lead multiple generative AI projects, ensuring timely delivery and high-quality outcomes. Define project deliverables, timelines, and methodologies. Team Management: Manage and mentor a team of AI specialists, fostering a collaborative and innovative environment. Solution Design: Architect and implement advanced generative AI models, including GANs, VAEs, and transformer-based models, to solve complex business problems. Thought Leadership: Provide strategic insights and thought leadership in generative AI, driving innovation and best practices within the organization. Technical Expertise: Stay abreast of the latest advancements in generative AI and machine learning, integrating cutting-edge technologies into projects. Qualifications: Educational Background: Degree in computer science, engineering, mathematics, or related fields from top-tier institutions. Experience: 3+ years of experience in AI and machine learning, with a focus on generative AI, deep learning, and NLP. Proven track record in delivering generative AI projects. Technical Skills: Proficiency in Python, TensorFlow, PyTorch, Keras, and cloud platforms (AWS, Azure, GCP). Experience with large-scale data processing and model deployment. Certifications: Relevant certifications in AI and machine learning, such as TensorFlow Developer Certificate, AWS Certified Machine Learning Specialty, or similar. (Preferred not mandatory) Leadership: Demonstrable leadership ability, with experience managing and mentoring teams. Problem-Solving: Superior problem-solving skills, with a track record of delivering innovative generative AI solutions. Communication: Excellent communication and presentation skills, with the ability to articulate complex technical concepts to non-technical stakeholders. Industry Knowledge: Deep understanding of industry trends and challenges in generative AI and machine learning.

You possess experience in direct sales of IT solutions and services, specifically within a hunting role in the U.S. market. You will be responsible for performing in-depth market research to identify industry segments that could benefit from AI-driven digital and business solutions. You will need to develop and articulate compelling value propositions based on AI technology and industry insights to engage potential clients. Understanding and addressing the specific challenges of clients/leads, demonstrating how AI solutions can optimize and automate Operations, Conversations, Digital Experience, Customer Experience, and Employee Experience is crucial. Your responsibilities will include executing targeted lead generation campaigns through outreach, content marketing, and industry events to attract prospects. You will work closely with the Global Business Development team for smooth lead hand-off and maintain relationships with key stakeholders in target organizations through customized presentations and demonstrations of AI capabilities. Efficient tracking, progress monitoring, and data accuracy will be done using CRM and lead management tools. Key Responsibilities: 1. Inside Sales: - Proactively identify and generate new business opportunities through outbound calls, emails, and lead nurturing. - Follow up on inbound inquiries and leads generated from marketing campaigns. - Build and manage a pipeline of prospective clients by understanding their needs and offering tailored solutions. - Achieve and exceed monthly/quarterly sales targets and KPIs. 2. Client Handling: - Maintain a professional relationship with existing clients, ensuring excellent customer service and satisfaction. - Conduct discovery calls to understand client requirements and provide appropriate solutions. - Manage and resolve client inquiries, complaints, or issues promptly. - Work closely with CTO, CTO, CEO, VP, Operations Manager, Sales Director management, and service delivery teams to ensure a seamless client experience. Required Skills and Qualifications: - Bachelors degree in Business, Marketing, or a related field. - Proven experience in inside sales, telesales, or client engagement. - Excellent verbal and written communication skills. - Strong negotiation and persuasive skills. - Ability to build rapport and foster relationships over the phone and in virtual meetings. - Experience with CRM tools such as Salesforce, HubSpot, or Zoho. Key Attributes: - Highly motivated and target-driven. - Strong problem-solving and analytical skills. - Team player with a proactive and positive attitude. - Ability to multitask and manage time effectively. What We Offer: - Competitive salary with performance-based incentives. - Opportunities for career growth and professional development. - A collaborative and dynamic work environment. - Health and wellness benefits.,

We are looking for a highly skilled and motivated Senior LDI Analyst/Engineer to join our innovative team in India. In this role, you will utilize your advanced expertise in GIS, data science, and programming to extract actionable insights from geospatial data. Your work will drive impactful business outcomes through cutting-edge visualization and analytical tools. Your responsibilities will include: Data Analysis and Management: - Perform advanced spatial data analysis using GIS software (ArcGIS, QGIS) to derive meaningful insights. - Manage, manipulate, and analyze large geospatial datasets to produce high-quality maps and actionable reports. - Ensure data accuracy and integrity through rigorous quality control measures and regular audits. Programming and Automation: - Develop and implement Python scripts for data processing, analysis, and automation, with proficiency in SQL for querying and managing databases. - Apply machine learning and AI techniques, including Generative AI, to enhance data accuracy and predictive capabilities in GIS applications. Visualization and Reporting: - Create compelling visualizations and interactive dashboards using Tableau, PowerBI, Matplotlib, and Seaborn to communicate complex spatial insights effectively. - Utilize advanced Excel for data manipulation and reporting. - Develop and maintain high-quality maps to support stakeholder presentations and decision-making. Process Efficiency and Development: - Design and implement efficient data analysis workflows to optimize processing and analysis tasks. - Translate process efficiency concepts into development strategies, achieving significant time and effort savings. - Continuously evaluate and enhance workflows to improve performance and scalability. Tool and Application Development: - Develop custom GIS tools and applications to address diverse business requirements. - Utilize FME (Feature Manipulation Engine) for advanced data transformation and integration tasks (knowledge preferred). - Explore scalable data storage, processing, and analytics. Collaboration and Support: - Collaborate with cross-functional teams to translate data insights into strategic business solutions. - Provide technical support and training to team members on GIS tools, visualization platforms, and data analysis methodologies. - Contribute to team and company objectives aligned with business goals. Continuous Learning: - Stay updated on the latest advancements in GIS, data science, machine learning, Generative AI, and visualization technologies. Requirements: - Bachelor's or Master's degree in Geography, GIS, Data Science, Computer Science, or a related field. - Minimum of 3+ years of experience in a data analysis role. - Advanced proficiency in ArcGIS and QGIS software. - Strong programming skills in Python and proficiency in SQL. - Proven expertise in data visualization and reporting using Tableau, PowerBI, Matplotlib, Seaborn, and advanced Excel. - Hands-on experience with AWS services for data management and analytics. - Familiarity with machine learning, AI, and Generative AI applications in GIS environments. - Knowledge of FME (Feature Manipulation Engine) is an advantage. - Exceptional analytical, problem-solving, and decision-making skills. - Excellent communication, collaboration, and teamwork abilities. - Ability to work independently, prioritize tasks, and manage multiple projects in a fast-paced environment. Join us at HERE Technologies, a location data and technology platform company, where we empower our customers to achieve better outcomes. If you are inspired by an open world and driven to create positive change, we invite you to be a part of our team in Gurgaon.,

As the Director of Product Management at NiCE, you will be responsible for directing, establishing, maintaining, and planning the overall direction and goals for assigned product solutions. Your role will involve driving product roadmap and backlog activities, while also owning and enforcing profit and loss responsibilities for a multi-million dollar solutions. You will coordinate and negotiate product issues with various departments including engineering, operations, marketing, training, and sales groups. Interacting with sales, development, training, and product marketing to define requirements will be a key aspect of your responsibilities. Your main tasks will include defining requirements and managing the product development process by translating user testing and customer support feedback into feature/function requirements. Additionally, you will manage a group of product managers and development employees, relying on your experience and judgment to plan and accomplish goals effectively. In this role, you will play a crucial part in identifying, pursuing, and maintaining key relationships with targeted strategic partners, driving the business by maximizing revenue and margin growth through identifying new business opportunities. You will own Product/Solution P&L holistically for the assigned solution set(s). Developing product roadmaps, managing cross solution backlog of stories and requirements, and prioritizing company solutions against business needs and market demand will be among your responsibilities. To excel in this position, you should hold a Bachelor's Degree in Computer Science, Business Information Systems, Marketing, or a similar field, or equivalent work experience. A Master's Degree is preferred. You should have 12+ years of product management experience with formal product management techniques and tools, and in-depth knowledge and experience with agile & SCRUM development methodologies. Experience with P&L accountability and excellent oral and written communication skills in English are required. Joining NiCE as the Director of Product Management offers you the opportunity to work in a fast-paced, collaborative, and creative environment within a global company at the forefront of market disruption. If you are passionate, innovative, and driven to constantly raise the bar, this role may be the perfect fit for you. Enjoy the NiCE-FLEX hybrid model, where you can work 2 days from the office and 3 days remotely each week, enabling maximum flexibility and fostering a vibrant, interactive atmosphere.,

Job Title: Technical Product Manager Location: Pune (Hybrid) Experience: 2-5 Years Company: Karini AI About Us Karini AI is at the forefront of building cutting-edge AI-powered solutions. We specialize in delivering high-impact AI, Gen AI, and data-driven products that help enterprises automate, optimize, and innovate. We are looking for a dynamic and hands-on Technical Product Manager who can drive product planning, market alignment, and GTM execution with a focus on design, competition mapping, and user-centric launches. Key Responsibilities: Define and manage the product roadmap , aligning with business goals and user needs Drive product launches , collaborating with cross-functional teams including engineering, design, marketing, and sales Conduct competitive analysis and market research to identify trends and strategic opportunities Create engaging product blogs , documents, and release notes to clearly communicate features and updates Work closely with the design team on Figma-based wireframes, UI flows , and prototypes Develop and validate storyboards and user journeys that guide product vision Lead and own Go-To-Market (GTM) strategies , ensuring successful delivery and positioning Collaborate with marketing for effective messaging, positioning, and content creation Translate product strategy into detailed requirements and user stories for development teams Monitor and measure product performance, customer feedback, and iterate rapidly Requirements: 2-5 years of experience in product management , ideally in tech or AI-focused companies Strong understanding of UI/UX principles and experience working with Figma Experience in writing technical and marketing blogs , product content, and documentation Proven track record of successful product launches and roadmap execution Ability to analyze competitors and shape product differentiation strategies Experience in storyboarding, prototyping , and working closely with design & engineering teams Familiarity with Agile/Scrum methodologies Strong problem-solving skills, attention to detail, and user-first mindset Excellent communication, storytelling, and collaboration skills Required Skills 2-5 years of product management experience , with at least 12 years in AI/ML, GenAI, or developer platforms Familiarity with LLMs, vector DBs, embeddings, APIs (e.g. OpenAI, Anthropic, Pinecone, FAISS) Understanding of cloud infrastructure (preferably AWS EC2, Lambda, S3, API Gateway) Strong ability to collaborate using Figma, wireframes, and storyboarding tools Excellent writing skills ability to author technical blogs, product guides, and release content Prior experience working in Agile, with tools like Jira, Strong problem-solving skills, with attention to detail and a user-centric mindset Educational Criteria: Bachelor’s degree (B.E/B.Tech) in Computer Science, Information Technology, or related technical field Preferred: Master’s degree (MBA) with specialization in Product Management, AI/ML, or Technology Management Why Join Karini AI? Work with a passionate and fast-growing team building the next generation of AI solutions Opportunity to lead product thinking in a high-impact role Freedom to own strategy, execution, and delivery end-to-end Friendly, transparent, and empowering culture

We are seeking a highly skilled and experienced Senior Architect/Consultants to lead our Generative AI Technologies team. The ideal candidate will have a deep understanding of Generative AI, machine learning, and related technologies, along with a proven track record of architecting and implementing innovative solutions. As a Senior Architect/Consultant, you will play a pivotal role in shaping our Generative AI strategy, selecting appropriate models and technologies, and collaborating with cross-functional teams to deliver cutting-edge solutions that meet customer requirements and business objectives. Primary Skill Set: Generative AI Expertise: In-depth knowledge of various Generative AI techniques, including GANs (Generative Adversarial Networks), VAEs (Variational Autoencoders), and other relevant architectures. Experience with both image and text generation is essential. Conversant with Gen AI development tools like Prompt engineering, Langchain, Semantic Kernels, Function calling. Exposure to both API based and opens source LLMs based solution design. Responsible AI: Should have proficient knowledge in Responsible AI and Data Privacy principles to ensure ethical data handling, transparency, and accountability in all stages of AI development. Must demonstrate a commitment to upholding privacy standards, mitigating bias, and fostering trust within data-driven initiatives. Machine Learning Mastery: Profound understanding of machine learning principles, algorithms, and frameworks. Able to design and implement models, optimize performance, and manage training pipelines effectively. Technical Proficiency: Proficiency in programming languages commonly used in AI development, such as Python, TensorFlow, PyTorch, or similar tools. Experience with cloud platforms (e.g., AWS, Azure, GCP) and distributed computing is advantageous. Architecture Design: Ability to design end-to-end Generative AI architectures that encompass data preprocessing, model selection, training pipelines, and deployment strategies. Strong grasp of scalable, reliable, and efficient system design. Secondary Skill Set: Domain Knowledge: Familiarity with the specific industry domain or vertical in which the Generative AI solutions will be applied (e.g., healthcare, finance, entertainment) is beneficial. This enables contextual understanding and tailored solution development. Data Engineering: Understanding of data engineering practices, data pipelines, and data management. Proficiency in data preprocessing, cleansing, and transformation for effective model training.

The Role Were building serious learning programs in Data Science and Generative AI. We need someone whos smart, speaks well, can be on camera, and wants to learn fast. You’ll work across product, content, and training. Some of the work is strategic, some of it is grunt work, and all of it matters. You’ll teach, build, edit, explain, listen, and improve. Expect to grow quickly if you’re actually curious and driven. What You’ll Do Contribute to building and refining AI/data learning content Work on new projects and land them into the programs' Take live classes and record videos—be clear, be engaging Create hands-on explainers, walk through, and demos Help learners get unstuck—online and in community Keep up with what’s happening in AI and Data, and infuse it into the programs' What You Need Excellent communication Strong willingness to learn — fast and independently Comfort on camera and with people —'A passion for data and AI - with proof in your projects'. Bonus If You’ve Done Teaching, training, or mentoring Any kind of content creation (video, blog, social) Small projects in data or Gen AI—personal or professional

Job Summary: We are looking for a highly motivated and technically proficient Prompt Engineer with a strong software development background to join our AI/ML team. The ideal candidate will specialize in building and optimizing interactions with Large Language Models (LLMs), particularly using Prompt Engineering techniques and Retrieval-Augmented Generation (RAG). You will play a key role in designing intelligent solutions involving NLP, Generative AI, Data Extraction, and GPT models, and will collaborate with cross-functional teams to deploy scalable AI solutions. Key Responsibilities: Design, develop, and optimize prompts for LLMs including OpenAI GPT models for a variety of use cases. Build end-to-end applications using frameworks like LangChain and integrate them with Azure OpenAI services. Develop and implement RAG pipelines for improved contextual responses using internal and external data sources. Perform data extraction and NLP preprocessing from structured and unstructured sources. Work closely with Data Scientists, ML Engineers, and Developers to deploy AI/ML features in production environments. Evaluate prompt performance, iterate rapidly, and apply best practices in prompt tuning and engineering. Develop RESTful APIs and backend services in Python to support AI-driven applications. Maintain model performance tracking, testing pipelines, and version control for LLM-based solutions. Required Skills & Qualifications: Proven expertise in Python programming, especially with libraries such as transformers, LangChain, and pandas. Hands-on experience with Generative AI, LLMs, and Prompt Engineering. Practical knowledge of RAG (Retrieval-Augmented Generation) techniques. Strong understanding of Natural Language Processing (NLP) and Machine Learning concepts. Familiarity with Azure OpenAI, OpenAI APIs, and other cloud-based LLM providers. Experience working with data extraction tools and techniques for both structured and unstructured data. Solid problem-solving, debugging, and analytical thinking skills. Focus Areas- Python, NLP, Generative AI, RAG, Prompt Engineering, LangChain, LLMs, Azure OpenAI, Data Extraction, GPT models, Software Developer, AI/ML Engineer, AI Specialist, Data Scientist Share your resume on Aarushi.Shukla@Coforge.com if you are an early or immediate joiner. Subject Line should be- Prompt Engineer + (Years of exp) + Notice Period

Tezo is a new generation Digital & AI solutions provider, with a history of creating remarkable outcomes for our customers. We bring exceptional experiences using cutting-edge analytics, data proficiency, technology, and digital excellence. We are seeking a highly experienced and dynamic Practice Head Data Science & AI to lead our data practice in Hyderabad. This role is ideal for a technology leader with a strong foundation in Data Science, Artificial Intelligence (AI), and Machine Learning (ML), along with proven experience in building and scaling data practices. The ideal candidate will also have a strong business acumen with experience in solution selling and pre-sales. Key Responsibilities: Leadership & Strategy: Define and drive the strategic vision for the Data Science and AI practice. Build, lead, and mentor a high-performing team of data scientists, ML engineers, and AI experts. Collaborate with cross-functional teams to integrate data-driven solutions into broader business strategies. Technical Expertise: Lead the design and delivery of advanced AI/ML solutions across various domains. Stay abreast of industry trends, emerging technologies, and best practices in AI, ML, and data science. Provide technical guidance and hands-on support as needed for key initiatives. Practice Development: Establish frameworks, methodologies, and best practices to scale the data science practice. Define and implement reusable components, accelerators, and IPs for efficient solution delivery. Client Engagement & Pre-Sales: Support business development by working closely with sales teams in identifying opportunities, creating proposals, and delivering presentations. Engage in solution selling by understanding client needs and proposing tailored AI/ML-based solutions. Build strong relationships with clients and act as a trusted advisor on their data journey. Required Skills & Experience: 12+ years of overall experience with at least 5+ years in leading data science/AI teams. Proven experience in setting up or leading a data science or AI practice. Strong hands-on technical background in AI, ML, NLP, predictive analytics, and data engineering. Experience with tools and platforms like Python, R, TensorFlow, PyTorch, Azure ML, AWS SageMaker, etc. Strong understanding of data strategy, governance, and architecture. Demonstrated success in solutioning and pre-sales engagements. Excellent communication, leadership, and stakeholder management skills.

Role & responsibilities : We are seeking a skilled AI/ML Engineer proficient in Python to join our dynamicteam. In this role, you will collaborate with cross-functional teams to design, develop, and deploy machine learning models and AI systems. You will be responsible for implementing algorithms and workflows that enable our organization to leverage data for insightful decision-making and innovative product solutions. Key Responsibilities:- Develop machine learning models and algorithms using Python and relevant libraries (e.g., Tensor Flow, PyTorch, sci-kit-learn). Collaborate with data engineers to design and implement data pipelines for efficient data processing, analysis, and model training. Apply machine learning techniques to solve complex business problems and optimize existing processes. Work closely with product managers and stakeholders to understand business requirements and translate them into technical solutions. Implement scalable and reliable machine learning infrastructure and productionize models. Stay updated with the latest developments in AI/ML research and apply them to improve our systems continuously. Participate in code reviews, knowledge sharing, and contribute to the overall growth of the AI/ML team.

About the Role: We are looking for a highly skilled AI/ML Developer to join the core product team of QAPilot.io. The ideal candidate should come from a product-based or AI-first company, with a strong academic background from institutes like IITs, NITs, IIITs, or other Tier-1 engineering colleges. You will work on real-world AI problems related to test automation, software quality, and predictive engineering. Key Responsibilities: Design, build, and deploy machine learning models for intelligent QA automation Work on algorithms for test case optimization, bug prediction, pattern recognition, and data-driven QA insights Apply techniques from supervised/unsupervised learning, NLP, and deep learning Integrate ML models into the product using scalable and production-ready code Continuously improve model performance through experimentation and feedback loops Collaborate with full-stack developers, product managers, and QA experts Explore LLMs, transformers, and generative AI for advanced test data generation and analysis Required Skills & Qualifications: B.Tech / M.Tech / MS in Computer Science, Data Science, or related fields from IIT/NIT/IIIT or other top-tier institutes 3+ years of experience as an AI/ML Developer, preferably in product or AI-centric companies Strong proficiency in Python, ML libraries (scikit-learn, TensorFlow, PyTorch) Experience in NLP, LLMs, or generative AI (preferred) Hands-on with ML lifecycle: data wrangling, model training, evaluation, and deployment Familiarity with MLOps tools like MLFlow, Docker, Airflow, or cloud platforms (AWS/GCP) Prior exposure to software testing, DevOps, or developer tooling is a plus Strong analytical skills, attention to detail, and curiosity to solve open-ended problems Portfolio, GitHub, or project links demonstrating AI/ML expertise are desirable Why Join QAPilot.io: Work on an innovative AI product transforming the software QA ecosystem Join a high-impact, product-oriented engineering culture Solve challenging AI problems with real user value Collaborate with top talent from the tech and AI ecosystem Competitive salary, learning-focused environment, and growth opportunities To Apply: Please send your updated resume and any supporting links (GitHub, projects, publications).

We are looking for talented Python Developers with 3 - 6 years of hands-on experience in Natural Language Processing (NLP) and Generative AI Models to join our growing team working on innovative projects in enterprise scale AI applications and solutions. Responsibilities: Design, evaluation, and best fit analysis of NLP / ML Models Design, fine-tuning, and deployment of open-source and API-based LLMs to solve real-world use cases Engage with clients for data preparation process, the subtleties of the fine-tuning procedure, and the challenges it presents. Lead efforts to address challenging data science and machine learning problems, spanning predictive modeling to natural language processing, with a significant impact on organizational success. Building data ingestion pipelines, handling various data formats such as JSON and YAML. Technical Qualifications: Strong in data collection, curation, and dataset preparation for ML Models (Classifiers / Categorization). Demonstrable expertise in area of data science or analytics (e.g., machine learning, deep learning, NLP, predictive modeling and forecasting, statistics). Strong experience in machine learning (unsupervised and supervised techniques) and experience in machine learning techniques and algorithms, such as k-NN, Naive Bayes, SVM, Decision Forests, logistic regression, MLPs, RNNs, Attention, Generative Models etc would be a plus. SQL expertise for data extraction, transformation, and analysis. Experience in building and maintaining scalable APIs using FastAPI / Flask frameworks. Proficiency in Python, with experience in libraries such as PyTorch or TensorFlow. Solid understanding of data structures, embedding techniques, and vector search systems. Experience in SQL / NoSQL databases including PostgreSQL, MySQL and MongoDB. Proficiency in Graph Databases Neo4j. Generic Qualifications: Comfortable working with cross-functional teams product managers, data scientists, and other developers to deliver quality software solutions. Ensure software quality through code reviews, unit testing, and best practices for DevOps and CI/CD pipelines. Ability to manage time wisely across projects and competing priorities, meet agreed upon deadlines, and be accountable for work. Able to write maintainable and functionally tested modules. You should not hesitate in learning and building innovative solutions in newer technology stacks. Others: Candidate should be willing to relocate or commute to North Bangalore (Yelahanka) for work.

Role & responsibilities 1.Develop and execute a strategic roadmap for executing Applied AI engineering projects with a product engineering mindset . 2. Lead and inspire a high-performance core group of developers, architects & engineering managers. 3. Responsible for hiring, training, coaching, team building, assessing performance, providing feedback, mentoring, and helping the team succeed. Our enthusiastic Data Scientists are just getting started -- and as a manager, you guide the way and set up examples by coming up with the best solutions to complex engineering problems. 4. Collaborate with architects, product management, and other engineering teams to create solutions that increase the platform's value. 5. Own Delivery - This includes overseeing the end-to-end delivery of Applied AI projects, ensuring adherence to timelines, budget, and impeccable engineering quality, setting up and managing periodic progress meeting,s and act as a point of escalation for project issues, providing timely resolution and effective communication with stakeholders. 6. Participate with senior management in developing a long-term technology road map. Influence, collaborate and communicate effectively with various leaders. Education and Qualification 1.Proven experience of 10+ years in a leadership role overseeing Applied AI engineering teams, preferably within a professional services environment. 2. Successful track-record of Solution Architecting and High-end AI based software development. 3. Strong technical background with expertise in Generative AI, Google AI APIs, Machine Learning, software development methodologies, languages, and frameworks. 4. Excellent communication skills with the ability to articulate technical concepts to both technical and non-technical audiences. 5. Demonstrated success in delivering complex software projects on time and within budget. 6. Ability to thrive in a fast-paced, dynamic environment and adapt to evolving business needs. 7. Leadership qualities including strategic thinking, decision-making, problem-solving, and team-building. 8. Experience in client-facing roles with a focus on building and maintaining relationships. 9. Our technology stack is insane and the role requires experience and understanding of technologies like: a. Python, Pyspark , TensorFlow b. Databases: MongoDB, Google Cloud SQL, Graph/NoSQL, Bigtable c. Google App Engine, GKE, Vertex A I , Doc AI, Conversational AI

Job Title: Content Strategist Data Science / AI / ML Company: Great Learning Experience: 2-6 Years Location: Bangalore Education: B.E./B.Tech/M.Tech/M.Sc in CS, Data Science, Statistics, or related fields Key Skills: Data Science, Machine Learning, Artificial Intelligence, Generative AI, Python, R, Instructional Design, Technical Writing, Content Strategy, Educational Content Creation Job Description Were looking for a technically strong and creatively driven Content Strategist to design and deliver high-impact learning content in Data Science, Machine Learning, and AI/GenAI . Youll collaborate with SMEs, video teams, and instructional designers to shape the future of online learning for professionals across 170+ countries. This role is ideal for someone from a DS/ML/Analytics background who wants to influence how complex concepts are taught, while staying at the edge of emerging technologies. Responsibilities Curate and develop engaging educational content in DS/ML/AI. Collaborate with SMEs and design teams to build structured learning journeys. Ensure clarity, accuracy, and relevance across video and written formats. Stay current with AI/GenAI trends and apply them to content design. Manage timelines and feedback loops across cross-functional teams. Requirements 4+ years of experience in Data Science / Analytics / ML Strong grasp of Python, R, Statistics, and ML concepts. AI/GenAI knowledge is a plus (or eagerness to learn is a must). Excellent communication skills and the ability to simplify technical content. Experience in EdTech or instructional design is preferred. Why Join Us? Be part of an award-winning EdTech leader revolutionizing upskilling and career transformation through cutting-edge learning. Work with global university partners like MIT, UT Austin, IIT Bombay, and more. About Us: Great Learning is one of the worlds leading EdTech platforms for professional and higher education, with 12M+ learners across 170+ countries. Learn more: https://www.mygreatlearning.com/about-us

Job Title: Content Strategist - Data Science / AI / ML Company: Great Learning Experience: 2-6 Years Location: Bangalore Education: B.E./B.Tech/M.Tech/M.Sc in CS, Data Science, Statistics, or related fields Key Skills: Data Science, Machine Learning, Artificial Intelligence, Generative AI, Python, R, Instructional Design, Technical Writing, Content Strategy, Educational Content Creation Job Description Were looking for a technically strong and creatively driven Content Strategist to design and deliver high-impact learning content in Data Science, Machine Learning, and AI/GenAI . Youll collaborate with SMEs, video teams, and instructional designers to shape the future of online learning for professionals across 170+ countries. This role is ideal for someone from a DS/ML/Analytics background who wants to influence how complex concepts are taught, while staying at the edge of emerging technologies. Responsibilities Curate and develop engaging educational content in DS/ML/AI. Collaborate with SMEs and design teams to build structured learning journeys. Ensure clarity, accuracy, and relevance across video and written formats. Stay current with AI/GenAI trends and apply them to content design. Manage timelines and feedback loops across cross-functional teams. Requirements 2+ years of experience in Data Science / Analytics / ML Strong grasp of Python, R, Statistics, and ML concepts. AI/GenAI knowledge is a plus (or eagerness to learn is a must). Excellent communication skills and the ability to simplify technical content. Experience in EdTech or instructional design is preferred. Why Join Us? Be part of an award-winning EdTech leader revolutionizing upskilling and career transformation through cutting-edge learning. Work with global university partners like MIT, UT Austin, IIT Bombay, and more. About Us: Great Learning is one of the worlds leading EdTech platforms for professional and higher education, with 12M+ learners across 170+ countries. Learn more: https://www.mygreatlearning.com/about-us

Data Scientist/ Machine Learning Engineer with exp of PROMPT, python (must) Gen AI (Must). Proven ability to write clear and specific instructions for LLM and diffusion models ( It can be from open AI / Microsoft AZURE / AWS ),

Hello All, Urgent job openings for Data Science Lead & Architect role @ Remote. Job Description given below please go through to understand the requirement. if requirement is matching to your profile & interested to apply please share your updated resume @ mail id (vinay.kondapalli@smarkinfosolutions.com). Mention Subject Line :- Applying for Data Lead Or Architect @ Remote Share your details in the mail :- Full Name : Mobile # : Qualification : Company Name : Designation : Total Work Experience Years : Current CTC : Expected CTC : Notice Period : Looking for Serving candidates only (15-30 days) Preffered Location -: Hyd or Bangalore or Remote - Job Description : We are looking for a Data Scientist Lead/Architects for one of service based Organization. Mandatory Skills- Generative AI, Python , LLM, Agentic Ai , RAG, Langchain Role : As a Gen AI Lead /Architect your primary role will be to design and develop advanced artificial intelligence solutions for various applications. You will work closely with cross-functional teams to understand business requirements and translate them into scalable and efficient AI architecture. You will also be responsible for leading the implementation and deployment of AI models and systems: As a Gen AI Architect, your primary role will be to design and develop advanced artificial intelligence solutions for various applications. You will work closely with cross-functional teams to understand business requirements and translate them into scalable and efficient AI architecture. You will also be responsible for leading the implementation and deployment of AI models and systems Req Skills : GenAI Expertise: Extensive experience in building Generative AI applications, including RAG, LLM chaining using Langchain, prompt engineering. Develop Python-based backend services, APIs, and orchestrators that manage tool invocation, context handling, and task decomposition. Develop goal-oriented autonomous agents capable of planning, decomposing tasks, and invoking tools via APIs and actions. Performance Optimization: Proven ability to optimize Azure OpenAI models for enhanced performance and scalability. API Integration: Experience in integrating OpenAI models into software applications using OpenAI APIs. Documentation: Excellent documentation and communication skills.. Responsibilities : Lead the design of architecture for generative AI solutions within the Azure ecosystem. Collaborate with project managers, data scientists, software engineers, and other stakeholders to understand business goals and determine AI requirements. Design and develop AI architectures, frameworks, and algorithms that can support large-scale and complex AI solutions.. Stay up-to-date with the latest advancements in AI technologies, frameworks, and algorithms, and identify opportunities for their application in the organization. Thanks & Regards, Vinay Kondapalli, vinay.kondapalli@smarkinfosolutions.com Sr.IT Recruiter

As a Senior SEO Specialist at Interactive Bees located in Delhi NCR, you will be responsible for developing and implementing advanced SEO strategies that encompass on-page, off-page, and technical aspects. With over 5 years of experience in core SEO, you will lead keyword research, competitive analysis, and content audits to ensure optimal performance in an ever-evolving digital landscape. Your role will involve working closely with Large Language Models (LLMs) and Generative AI tools to optimize content workflows with tools like ChatGPT, Claude, Jasper, etc. You will integrate Generative AI into SEO content pipelines while upholding quality, originality, and E-A-T standards. Collaborating with developers and content teams, you will implement SEO best practices on websites and landing pages. Monitoring and reporting on SEO performance using tools such as GA4, GSC, SEMrush/Ahrefs, and LLM-driven dashboards will be a crucial part of your responsibilities. Staying abreast of AI advancements in search, such as SGE, AI snippets, and multimodal SEO, will ensure that you remain ahead of the curve in SEO strategies. Preferred skills for this role include a deep understanding of Google algorithms, indexing, crawling, and structured data. Experience in using and optimizing prompts with LLMs for SEO content generation is highly desirable. Familiarity with AI-powered SEO tools like Surfer SEO, MarketMuse, and Frase will be advantageous. Additionally, knowledge of schema markup, page speed optimization, and technical audits is essential. If you have experience in integrating LLMs with CMS or SEO platforms, an understanding of prompt engineering, or exposure to Python and automation scripts for SEO tasks, it would be considered a bonus. Prior experience in optimizing content for AI search experiences, such as SGE and Bing Chat, will also be beneficial. Joining Interactive Bees offers you the opportunity to work on cutting-edge SEO and AI projects for leading brands. You will be part of a collaborative and growth-focused team culture with opportunities to experiment with new tools and AI models. Competitive salary along with performance incentives make this role even more rewarding.,

As a Senior .NET Full Stack Developer in Lucknow, U.P. (Onsite role), you will be responsible for both front-end and back-end web development. With over 7 years of experience, you will leverage your expertise in a 40% Frontend focus encompassing Angular, React, and JavaScript, complemented by a 60% Backend emphasis on .NET, C#, and experience with Generative AI, Conversational AI, Azure, Cosmos DB, and the Microsoft Bot Framework. Your proficiency in .NET, C#, and .NET Core web APIs, along with any server-side platform, will be essential. You will showcase your skills in JQuery, Bootstrap, and the latest JavaScript frameworks such as Angular and React. Additionally, your expertise in Database design, including SQL Server, writing SQL scripts, stored procedures, and query optimization will be crucial. You will excel in working with various REST APIs, consuming data, and executing GET, PUT, and POST calls. Your ability to develop APIs that are easily consumable by others will be a key aspect of your role. Furthermore, your problem-solving skills and analytical mindset will be pivotal in meeting project requirements. It is important to note that the aforementioned requirements are foundational, as you will also be involved in projects related to Generative AI, Conversational AI, Azure, Cosmos DB, and the Microsoft Bot Framework.,