1417 Generative Ai Jobs - Page 8

As a seasoned leader in the field of Data, AI, and Automation, you will be responsible for packaging business solutions with clear ROI and effectively communicating the benefits to customers. You will play a crucial role in managing the P&L of the practice, leading a team of Architects, Technical Leads, and Engineers, and ensuring the smooth functioning of the entire team. Your ability to create and nurture a high-performing engineering team will be paramount, as you define and execute the organization's vision to be a leader in the Data, AI, and Automation space. You will set KPIs and objectives for the team that align with the organizational goals, and oversee the efficient allocation of personnel across various engagements. In this role, you will be required to design, architect, and implement cutting-edge Data & AI ML solutions and architectures, while adhering to best practices and principles. Your expertise will be utilized to lead initiatives, provide technical guidance, and drive business development in the realm of Data Science, AI, and ML. Additionally, you will be expected to stay abreast of emerging trends and best practices in Data AI and Automation, and leverage your expertise to lead and grow a superior organization of technical talent. Collaborating with peer engineering teams, you will gather technical requirements to shape Data, AI, and Automation technology roadmaps. Your responsibilities will also include enabling sales strategies with Data & AI solutions, representing the company in industry events, nurturing alliances and partnerships, and developing practice branding artifacts that showcase thought leadership. **Mandatory Qualifications:** - Possess over 15 years of experience in working on highly distributed and scalable enterprise applications - Demonstrate a deep understanding of Data warehouses, Big Data, AI ML, and Automation technologies with over 10 years of experience - Knowledge in Generative AI is desirable - Hands-on experience in developing and implementing machine learning algorithms, utilizing relevant programming languages and big data tools - Proficiency in evaluating and selecting algorithms and tools for projects - Extensive experience in advanced ML techniques such as neural networks, deep learning, and reinforcement learning - Familiarity with open-source technologies, ML libraries, and programming languages - Strong understanding of cloud platforms and their services for implementing Big Data and AI ML solutions - Appreciation of CI/CD processes and tools, guiding the team in decision-making related to CI/CD strategies - Experience with Agile development management tools and API/Microservices architecture-based systems development - Excellent communication, leadership, and interpersonal skills - Strong solutioning and presentation skills - Previous experience in Presales and Enterprise systems integration - Ability to envision and develop innovative solutions and accelerators,

The selected intern will be responsible for creating and managing AI-generated visuals using tools like Leonardo, MidJourney, and Runway for video production. You will break down scripts into detailed shot-by-shot sequences, including characters, settings, and background elements. It will be your responsibility to develop, test, and refine text/image-based prompts to generate high-quality visuals for storytelling. Collaboration with creative and content teams to understand project goals and visual requirements will be a key part of your role. You will also be required to conduct research on the latest trends and advancements in generative AI and implement new techniques. Quality control (QC) by reviewing AI-generated visuals and videos for alignment with creative briefs is an essential task. Contribution of original ideas and creative solutions to improve workflows, visual output, and storytelling will also be expected from you. About Company: The company is a dynamic and multi-disciplinary creative tech firm specializing in digital solutions that bridge innovation and impact. With a strong foothold in the digital media and technology space, expertise spans app & web development, digital marketing, graphic & web design, 2D/3D animation, and immersive media such as drone and 360-degree photography. The team thrives on creativity, collaboration, and cutting-edge technology to deliver tailored solutions for clients across industries. Crafting compelling visuals and building robust digital platforms are some of the core areas of focus. The company takes pride in delivering high-quality work that resonates and performs, shaping digital experiences that stand out. Join the team in this exciting journey of creativity and innovation.,

Coupa makes companies operate smarter and grow faster. The leading AI-driven platform of Coupa connects and optimizes sourcing, purchasing, supply chains, and financial management. More than 3,000 global organizations large and small trust Coupa to transform operating margins, increase efficiencies and growth, optimize cash, and reduce risk. You will be responsible for ensuring the quality and reliability of data used in ML/AI and Generative AI products. This involves performing thorough Data Analysis, evaluating Data Quality, testing Machine Learning Models & Visualizations, outlier detection, and using statistical methods to define and monitor valid data ranges. Additionally, you will collaborate with data scientists, engineers, and product managers to understand the data needs and requirements of different AI applications. Your role will also involve developing an automation strategy to create automated tests that validate large data sets across products in Coupa. You will design, implement, and maintain data validation frameworks and data quality monitoring systems. Working closely with Scrum team members, you will clarify requirements, ensure testability and automatability, and provide feedback on design in both functional and technical aspects. To succeed in this role, you should bring experience in writing complex queries on large customer data sets, familiarity with ML/AI and Generative AI techniques, frameworks, and associated toolchains, understanding of statistical analysis, and proficiency in working with APIs & API automation. Strong communication skills and the ability to drive collaboration across teams are essential, along with experience in Agile development processes and working with offshore teams. It would be beneficial if you also possess a Bachelor's degree in CS, Economics, Statistics, or Mathematics with 3-5 years of experience in Data Testing. Knowledge in Predictive Analytics, machine learning trade-offs, and model evaluation is desirable. Strong scripting experience with Python, SQL, and tools for data analysis and manipulation would be an added advantage. At Coupa, the core values focus on ensuring customer success, delivering results through innovation, and striving for excellence in a collaborative environment. The company emphasizes professionalism, integrity, passion, and accountability in all endeavors. Please note that inquiries or resumes from recruiters will not be accepted. By submitting your application, you acknowledge that Coupa receives and collects your application, including personal data, for managing ongoing recruitment and placement activities, including employment purposes. More details about the processing of your application and retention policies can be found in Coupa's Privacy Policy.,

The ideal candidate for this role should have a Bachelor's degree in Computer Science, Computer Engineering, Electrical Engineering, or equivalent practical experience. Additionally, you should possess at least 1 year of experience in C++ or other programming languages and have a strong foundation in data structures and algorithms. Preferred qualifications include a Master's degree in Computer Science or Computer Engineering, experience in power and performance optimizations, familiarity with compilers, and knowledge of hardware that provides a high degree of parallelism. As a Software Engineer at Google, you will be part of a dynamic team that develops cutting-edge technologies to revolutionize how billions of users connect, explore, and interact with information and each other. The scope of our products extends beyond web search, requiring innovative solutions in various domains such as information retrieval, distributed computing, system design, networking, security, AI, UI design, and more. You will have the opportunity to work on critical projects that address Google's evolving needs, with the flexibility to switch between teams and projects. The mission of Google is to organize the world's information and enhance its accessibility and utility. Our team blends Google AI, Software, and Hardware to create meaningful experiences. In this role, you will be involved in researching, designing, and developing new technologies and hardware to enhance computational speed. By focusing on developing ML compilers for the Tensor TPU to accelerate Generative AI and other machine learning models on custom hardware accelerators, you will contribute to making technology more beneficial to people's lives. Key responsibilities of this role include building compilers and tools that map ML models to hardware ISA, assessing trade-offs between parallelization strategies, collaborating with machine learning researchers to enhance domain-specific compilers, and working closely with hardware engineers to shape future accelerators. If you are a versatile and proactive Software Engineer with a passion for tackling complex challenges and driving technological advancements, we encourage you to apply and be part of our team dedicated to making the world's information more accessible and useful through innovative technology solutions.,

Tezo is a new generation Digital & AI solutions provider, with a history of creating remarkable outcomes for customers. We bring exceptional experiences using cutting-edge analytics, data proficiency, technology, and digital excellence. Tezo is seeking passionate AI Engineers who are excited about harnessing the power of Generative AI to transform the company and provide cutting-edge solutions for clients. Join us in revolutionizing enterprises by building intelligent, generative solutions that leverage AI/ML. If you've ever dreamed of contributing to impactful projects on a large scale, this is the opportunity for you! In this role, you will be an integral part of the Machine Learning Platforms/Data Science team, focusing on developing, testing, and deploying generative AI models. We actively respond to customers" evolving needs with innovative solutions, foster a positive and engaging work environment where collective ideas thrive, take ownership of our performance, maximize potential through continuous learning and improvement, and empower individuals to make informed decisions and take calculated risks. Job Summary: We are looking for a dedicated Data Scientist (Senior level) with a strong background in Generative AI to join our team. You will support product, leadership, and client teams by providing insights derived from advanced data analysis and generative modeling. In this role, you will collaborate closely with the development team, architects, and product owners to build efficient generative models and manage their lifecycle using the appropriate technology stack. Core Requirements: - 5+ years of experience working as a Data Scientist. - Proven experience in building production-grade Retrieval-Augmented Generation (RAG) solutions with hands-on experience with advanced RAG techniques for retrieval, re-ranking, etc. - Build GenAI applications using LangChain, LlamaIndex, and familiarity with Vector Stores and Large Language Models. - Experience in fine-tuning Large Language Models (LLMs) for business use cases will be preferred. - Minimum of 4 years of experience in developing end-to-end classical machine learning and NLP projects. - Demonstrated experience in deploying ML solutions in production using cloud services like Azure, AWS. - Business Understanding, Stakeholder management, and Team leading skills. - Strong practical expertise in Python and SQL needed for data science projects. Join us at Tezo to be part of a dynamic team committed to driving innovation through Generative AI solutions!,

As a global leader in assurance, tax, transaction and advisory services, EY is dedicated to hiring and developing passionate individuals to contribute to building a better working world. At EY, you will be part of a culture that values training, opportunities, and creative freedom. The focus is not only on your current self but also on your potential for growth. Your career at EY is yours to shape, with limitless possibilities. You will be provided with motivating and fulfilling experiences throughout your journey, helping you become your best professional self. The role available is for a Consultant in the TMT (Technology, Media & Entertainment, and Telecommunications) sector within Business Consulting Risk-CNS in New Delhi. TMT organizations have the opportunity to evolve and transform in a rapidly changing industry landscape. EY assists TMT companies in creating exceptional employee and customer experiences, achieving operational excellence, safeguarding data and reputation, and executing M&A strategies that create value and reduce risk. Within the CNS - Risk - Process & Controls domain, EY Consulting focuses on transforming businesses through people, technology, and innovation. The service lines include Business Consulting, Technology Consulting, and People Advisory Services. EY assists clients in identifying and managing risks, ensuring long-term decisions align with business strategies, and enhancing internal controls for sustainable growth. Key Responsibilities: - Ensure quality delivery on client engagements as per requirements. - Review working papers and client folders, suggesting ideas for engagement improvement. - Identify areas for process improvement in client business processes. - Handle data analytics using tools such as Alteryx, Power BI, and Generative AI. - Ensure compliance with engagement plans and internal quality & risk management procedures. - Demonstrate problem-solving skills and a solution-based approach. - Manage engagement budgets and support in developing marketing collaterals. - Develop strong client relationships, mentor interns and analysts, and contribute to knowledge management sessions. Skills and Attributes: To qualify for this role, you must have: - A CA or masters degree in business, accounting, finance, or related discipline. - 2-6 years of relevant IA experience. - Experience in internal controls frameworks, risk remediation strategies, gap analysis, and Enterprise Resource Management. What We Look For: We seek individuals who can collaborate across departments, solve complex problems, and deliver practical solutions. We value agility, curiosity, mindfulness, positive energy, adaptability, and creativity in our team members. What We Offer: EY is a leading employer with a strong brand presence globally. We invest in our people's skills and learning, providing personalized career journeys and access to career frameworks for growth. EY is committed to inclusivity, enabling our people to deliver excellent client service while focusing on career development and wellbeing. If you meet the criteria mentioned above, we encourage you to apply and join us in building a better working world at EY. Apply now for this exciting opportunity.,

You are an experienced management consultant with excellent business acumen, looking to join an agile, dynamic, passionate, and fast-growing AI consulting practice based in Delhi NCR, Mumbai, Hyderabad, or Kolkata. You will be a part of the AI Transformation Consulting (ATC) practice under the Global AIX (AI-First & Experience) practice, responsible for selling and delivering AI, Analytics advisory services in India, selected regions in Asia Pacific, and the Middle East. Your role will involve driving value realization office for transformation programs using the proprietary Infosys Value Management (IVM) platform and collaborating with global teams to deliver AI, Automation, and Data engagements for global clients across various sectors. As a member of the ATC team, your responsibilities will include working in client engagements, responding to RFPs, building PoVs or offerings, and coaching a team of 2-6 consultants. You will spend 75-80% of your time on client engagements and 20-25% on anchoring/driving RFP responses, proactive pitches, meeting clients, building PoVs/offerings, and coaching team members. To succeed in this role, you must be self-motivated, collaborative, and possess structured problem-solving capabilities with good presentation skills. You should excel in researching, generating data-driven insights, preparing impactful stories, and be willing to travel within and outside India on short notice. The ideal candidate will have at least 10 years of business consulting or advisory experience, specifically in delivering strategy and implementation engagements on AI, Automation, and Data. Knowledge in Generative AI, Conversational AI, or responsible AI is a plus. You should have a strong understanding of one industry and one functional domain, along with experience in product management, project and program management, and stakeholder management. Proven experience in managing large-scale projects, ensuring timely delivery, and adherence to quality standards is essential, along with familiarity with PMO processes and best practices to drive project success. Joining Infosys Consulting will give you the opportunity to be part of a global management consulting firm that helps renowned brands transform and innovate using disruptive technology. With offices in 20 countries and the support of the global Infosys brand, you will work with industry experts to lead change agendas and navigate the digital landscape for lasting competitive advantage. To learn more about our work, visit www.InfosysConsultingInsights.com.,

As a Senior Machine Learning Engineer at TrueFan, you will be at the forefront of AI-driven content generation, leveraging cutting-edge generative models to build next-generation products. Your mission will be to redefine the content generation space through advanced AI technologies, including deep generative models, text-to-video, image-to-video, and lipsync generation. Your responsibilities will include designing, developing, and deploying cutting-edge models for end-to-end content generation. This will involve working on the latest advancements in deep generative modeling to create highly realistic and controllable AI-generated media. You will research and develop state-of-the-art generative models such as Diffusion Models, 3D VAEs, and GANs for AI-powered media synthesis. Additionally, you will build and optimize AI pipelines for high-fidelity image/video generation and lipsyncing using diffusion and autoencoder models. Furthermore, you will be responsible for developing advanced lipsyncing and multimodal generation models that integrate speech, video, and facial animation for hyper-realistic AI-driven content. Your role will also involve implementing and optimizing models for real-time content generation and interactive AI applications using efficient model architectures and acceleration techniques. Collaboration with software engineers to deploy models efficiently on cloud-based architectures will be a key aspect of your work. To qualify for this role, you should have a Bachelor's or Master's degree in Computer Science, Machine Learning, or a related field, along with 3+ years of experience working with deep generative models like Diffusion Models, 3D VAEs, GANs, and autoregressive models. Proficiency in Python and deep learning frameworks such as PyTorch is essential. Strong problem-solving abilities, a research-oriented mindset, and familiarity with generative adversarial techniques are also required. Preferred qualifications include experience with transformers and vision-language models, background in text-to-video generation and lipsync generation, expertise in cloud-based AI pipelines, and contributions to open-source projects or published research in AI-generated content. If you are passionate about AI-driven content generation and have a strong background in generative AI, this is the perfect opportunity for you to drive research and development in AI-generated content and real-time media synthesis at TrueFan.,

As an Ind & Func AI Decision Science Analyst Level 11 in Accenture's Strategy & Consulting Global Network Data & AI practice focused on Marketing Analytics, you will have the opportunity to work with a team of smart and driven professionals who are pioneers in leveraging cutting-edge AI technologies, including Generative AI. You will play a key role in utilizing the power of Artificial Intelligence to help clients achieve high performance through data-driven insights and informed decision-making. From defining data requirements to building and fine-tuning Large Language Models (LLMs), you will be at the forefront of developing innovative solutions using Generative AI. Your responsibilities will include harnessing the capabilities of Generative AI and LLMs, defining data requirements, performing data cleaning and analysis, managing data pipelines, training models, evaluating performance, and collaborating with cross-functional teams to integrate AI solutions into end-to-end processes. You will also stay abreast of the latest advancements in Generative AI, explore new techniques to enhance model capabilities, and document methodologies for knowledge sharing. To excel in this role, you should hold a Bachelor's or Master's degree in Statistics, Computer Science, Mathematics, Marketing, or related disciplines with a strong academic background. Additionally, you should have at least 2 years of experience in Data Science, preferably within the Marketing domain, proficiency in Python and SQL, and hands-on experience with at least one prominent Large Language Model. Familiarity with cloud platforms such as AWS, Azure, or GCP, excellent communication skills, critical thinking abilities, and a strong desire to learn and adapt to new advancements in Generative AI and Marketing Analytics are essential. This role offers you the opportunity to work on projects that directly contribute to business performance improvement, collaborate with a diverse team of professionals, and access training and mentorship to enhance your skills and knowledge. If you are passionate about leveraging AI technologies to drive business growth and are eager to contribute to high-impact projects, this position is ideal for you. Join us in leveraging the power of AI to unlock new possibilities and create impactful solutions for our clients.,

As the Head of App Engineering Practice at Birlasoft Ltd., you will play a pivotal role in driving innovation and leading the development of cutting-edge solutions in the areas of Digital Experience, Cloud & App Engineering, Digital Manufacturing, and Generative AI. Your strategic leadership will define the vision, strategy, and roadmap for the practice, aligning technology strategies with business objectives and client needs. You will foster a culture of innovation, develop thought leadership, and ensure the delivery of high-quality solutions that exceed client expectations. Your responsibilities will include team management, client engagement, practice development, technology oversight, cross-functional collaboration, financial management, and business development. You will lead a diverse team of professionals, drive the adoption of best practices and modern methodologies, provide guidance on technology usage, collaborate with other practice heads and business units, manage the practice budget, and support sales activities through expertise and market expansion initiatives. The ideal candidate for this role should have a Bachelor's or Master's degree in computer science, Information Technology, Engineering, or a related field, with over 20 years of experience in application engineering, digital transformation, or a related field. Strong leadership skills, technical proficiency in modern technologies, business acumen, excellent communication and stakeholder management abilities, problem-solving skills, and decision-making capabilities are essential for success in this position. Preferred qualifications include certifications in relevant technologies, experience with Agile and DevOps practices, and a track record of driving large-scale digital transformation initiatives across multiple industries. If you are a visionary, strategic leader with a passion for driving innovation and transforming businesses through technology, we invite you to join our dynamic team at Birlasoft Ltd.,

As the Lead AI Strategist & Architect at DivyaSree's AI Division, you will drive early-stage AI vision and system design to establish a foundation for scalable AI adoption. The AI Division at DivyaSree is a dynamic startup within the organization, focused on reshaping real estate, education, and hospitality through AI innovation. You will play a pivotal role in defining the high-level AI roadmap, architecting secure and scalable AI systems, and leading the development of AI solutions for internal workflows and customer-facing tools. Your responsibilities will include setting up data pipelines, cloud infrastructure, and MLOps practices while also focusing on research, IP creation, team building, and ecosystem partnerships. To excel in this role, you should have at least 7 years of experience in developing and deploying AI/ML solutions in production environments. Proficiency in multiple AI domains such as NLP, computer vision, and generative AI is essential, along with a strong software engineering background and expertise in Python and relevant AI frameworks. Experience with cloud platforms and MLOps practices is also required. Preferred qualifications include an advanced degree in AI, Machine Learning, or a related field, hands-on experience with generative AI, LLMs, and agent-based systems, as well as contributions to open-source projects or research publications in AI-related fields. Knowledge of data privacy, security, and ethical considerations in AI implementation is also beneficial. In return, DivyaSree offers a unique opportunity to lead the AI vision from day zero, influence both business and tech decisions, work on cutting-edge projects, receive full support from leadership, and have the chance to make a significant impact on the AI ecosystem in India. Join us in building a bold future in AI innovation and be part of a team committed to creating lasting change through technology.,

As a Senior Machine Learning Engineer Contractor specializing in AWS ML Pipelines, your primary responsibility will be to design, develop, and deploy advanced ML pipelines within an AWS environment. You will work on cutting-edge solutions that automate entity matching for master data management, implement fraud detection systems, handle transaction matching, and integrate GenAI capabilities. The ideal candidate for this role should possess extensive hands-on experience in AWS services like SageMaker, Bedrock, Lambda, Step Functions, and S3. Moreover, you should have a strong command over CI/CD practices to ensure a robust and scalable solution. Your key responsibilities will include designing and developing end-to-end ML pipelines focusing on entity matching, fraud detection, and transaction matching. You will be integrating generative AI solutions using AWS Bedrock to enhance data processing and decision-making. Collaboration with cross-functional teams to refine business requirements and develop data-driven solutions tailored to master data management needs will also be a crucial aspect of your role. In terms of AWS ecosystem expertise, you will be required to utilize SageMaker for model training, deployment, and continuous improvement. Additionally, leveraging Lambda and Step Functions to orchestrate serverless workflows for data ingestion, preprocessing, and real-time processing will be part of your daily tasks. Managing data storage, retrieval, and scalability concerns using AWS S3 will also be within your purview. Furthermore, you will need to develop and integrate automated CI/CD pipelines to streamline model testing, deployment, and version control. Ensuring rapid iteration and robust deployment practices to maintain high availability and performance of ML solutions will be essential. Data security and compliance will be a critical aspect of your role. You will need to implement security best practices to safeguard sensitive data, ensuring compliance with organizational and regulatory requirements. Incorporating monitoring and alerting mechanisms to maintain the integrity and performance of deployed ML models will be part of your responsibilities. Collaboration and documentation will also play a significant role in your day-to-day activities. Working closely with business stakeholders, data engineers, and data scientists to ensure solutions align with evolving business needs will be crucial. You will also need to document all technical designs, workflows, and deployment processes to support ongoing maintenance and future enhancements. Providing regular progress updates and adapting to changing priorities or business requirements in a dynamic environment are expected. To qualify for this role, you should have at least 5+ years of professional experience in developing and deploying ML models and pipelines. Proven expertise in AWS services including SageMaker, Bedrock, Lambda, Step Functions, and S3 is necessary. Strong proficiency in Python and/or PySpark, demonstrated experience with CI/CD tools and methodologies, and practical experience in building solutions for entity matching, fraud detection, and transaction matching within a master data management context are also required. Familiarity with generative AI models and their application within data processing workflows will be an added advantage. Strong analytical and problem-solving skills are essential for this role. You should be able to transform complex business requirements into scalable technical solutions and possess strong data analysis capabilities with a track record of developing models that provide actionable insights. Excellent verbal and written communication skills, the ability to work independently as a contractor while effectively collaborating with remote teams, and a proven record of quickly adapting to new technologies and agile work environments are also preferred qualities for this position. A Bachelor's or Master's degree in Computer Science, Data Science, Engineering, or a related field is a plus. Experience with additional AWS services such as Kinesis, Firehose, and SQS, prior experience in a consulting or contracting role demonstrating the ability to manage deliverables under tight deadlines, and experience within industries where data security and compliance are critical will be advantageous.,

Company Description At Smart Tech, we develop AI-driven solutions to tackle the world&aposs most pressing data and AI challenges. We invite the brightest minds to collaborate and build real-world solutions aimed at improving the lives of millions and creating a better, more sustainable world. Role Description This is a remote role for an AI Engineering Intern. The intern will be responsible for assisting in the development and implementation of AI algorithms, conducting data analysis, writing and testing code, and collaborating with team members on various projects. They will also participate in brainstorming sessions and contribute to problem-solving efforts. Qualifications Proficiency in programming languages such as Python, Java, and C++ Experience with generative AI, Deep Learning and Machine Learning and frameworks like TensorFlow or PyTorch Strong data analysis and statistical skills Ability to work with large datasets and perform data preprocessing Good communication skills and ability to collaborate in a remote team environment Strong Knowledge of AI concepts and principles Enthusiasm for learning and applying new technologies Currently pursuing a Master&aposs degree in Computer Science, Data Science, AI Engineering, or a related field Show more Show less

You are seeking a seasoned Deputy Manager/Group Manager in Advanced Analytics for the Lifesciences/Pharma domain. Your primary responsibility will be to lead a dynamic team focused on assisting clients in Marketing, Sales, and Operations through advanced data analytics. Your proficiency in ML & DL Algorithms, NLP, Generative AI, Omni Channel Analytics, and Python/R/SAS is essential. Your role involves partnering with the Clients Advanced Analytics team to identify, scope, and execute advanced analytics efforts that answer business questions, solve business needs, and add business value. You will maintain a broad understanding of pharmaceutical sales, marketing, and operations to develop analytical solutions in these areas. It is crucial to stay current with statistical/mathematical/informatics modeling methodology and justify the methods selected. You will also lead the team independently to implement & deliver complex project assignments and provide strategic leadership to build new capabilities within the group. Additionally, you will contribute to whitepapers and articles at the BU and organization level, develop and deliver formal presentations to senior clients, and possess strong interpersonal communication, teamwork, leadership, and self-management skills. You should bring an insatiable desire to learn, innovate, and challenge yourself for the benefit of patients. Eligibility criteria include a minimum of 4-10 years of experience in data analytics and 2-4 years of relevant experience in Healthcare/Lifesciences/Pharmaceutical domain. Technical skills required for this role include proficiency in Python or R for statistical and machine learning applications, expertise in various techniques like Regression, Classification Decision Trees, Text Mining, Natural Language Processing, Bayesian Models, and more. You should be able to build & train neural network architectures and have hands-on experience in NLP & NLG. Knowledge in LLMs and Cloud Platforms like Azure, AWS, GCP is essential. Exposure to big data technologies is a plus. Basic qualifications include a B.Tech/Masters in a quantitative discipline such as Applied Mathematics, Computer Science, Bioinformatics, Statistics, Ops Research, or Econometrics. Your role will involve making the impossible possible in the quest to make life better, bringing Analytics to life, and continuously learning to maximize your impact in the field.,

About the Role: We are seeking an experienced and highly skilled Data Science Expert to join our growing team at our Mumbai office. This is a full-time, onsite role focused not only on solving complex data problems but also on mentoring and training Junior Data Science Engineers. The ideal candidate will bring deep technical expertise in data science and machine learning, along with a passion for teaching and developing talent. ________________________________________ Key Responsibilities: Lead the development of end-to-end data science solutions using advanced ML, NLP, and Computer Vision techniques. Train, mentor, and support junior data science engineers in coding, model development, and best practices. Architect and implement AI-driven solutions such as chatbots, OCR systems, and facial recognition applications. Translate complex business problems into actionable data science projects and deliver measurable results. Design and lead internal workshops, code reviews, and learning sessions to upskill the team. Collaborate with engineering and product teams to deploy models and insights into production environments. Stay abreast of the latest AI/ML trends and integrate cutting-edge techniques into projects where applicable. ________________________________________ Desired Skills & Qualifications: Experience: 6+ years in Data Science/Machine Learning with at least 12 years of team mentoring or leadership experience. Education: Bachelors or Masters degree in Computer Science, Data Science, Statistics, or a related field. ________________________________________ Technical Expertise Required: Strong proficiency in Python and SQL; R is a plus. Solid hands-on experience with Deep Learning and Neural Networks, particularly in Natural Language Processing (NLP), Generative AI, and Computer Vision. Familiarity with frameworks and libraries such as TensorFlow, Keras, PyTorch, OpenCV, SpaCy, NLTK, BERT, ELMo, etc. Experience developing Chatbots, OCR, and Face Recognition systems is preferred. Hands-on knowledge of cloud platforms (AWS, Azure, or Google Cloud Platform). Experience applying statistical and data mining techniques such as GLM, regression, clustering, random forests, boosting, decision trees, etc. Strong understanding of model validation, performance tuning, and deployment strategies. ________________________________________ Soft Skills: Excellent communication and presentation skills, especially in explaining complex models to non-technical audiences. Demonstrated ability to mentor, train, and lead junior team members effectively. Strong analytical and problem-solving mindset with a detail-oriented approach. ________________________________________ What We Offer: Competitive salary and benefits A collaborative and intellectually stimulating environment Career growth and leadership development opportunities within a fast-paced team Show more Show less

At o9 Solutions, our mission is clear: be the Most Valuable Platform (MVP) for enterprises. With our AI-driven platform the o9 Digital Brain we integrate global enterprises siloed planning capabilities, helping them capture millions and, in some cases, billions of dollars in value leakage. But our impact doesnt stop there. Businesses that plan better and faster also reduce waste, which drives better outcomes for the planet, too. We&aposre on the lookout for the brightest, most committed individuals to join us on our mission. Along the journey, well provide you with a nurturing environment where you can be part of something truly extraordinary and make a real difference for companies and the plane t Software Engineer (II) What you will do for us: Work for a product team to deliver enterprise planning & execution products for various industries Build o9s products using a mix of technologies - o9 proprietary platform constructs, databases and languages- on a Saas infrastructure Build high availability, low latency products in the enterprise knowledge graph product suite including configurators, centralized monitoring & control panel applications Architect database schema across different databases - big data, nosqldb, o9 proprietary dbs, vector dbs - with data transfer mechanisms between them Build data models on the different structured & unstructured databases on o9 platform Build data pipelines, algorithms, plugins, code generation frameworks and tools for usage in core product or as adjacent tooling Incorporate algorithmic, machine learning, deep learning, generative ai capabilities into the products Interact with different product & implementation teams to lay out deployment plan. What should you have : 3+ Years of experience in Software engineering Expert knowledge of multiple databases (RDBMS - SQL, Big data - Deltalake/Hadoop/Hive, NoSQL DB- mongoDB etc), languages (Python, C#, Javascript) and their scalability techniques and limitations. Comfortable picking up new technologies, language and tools as needed Expert knowledge of data structures, algorithms, with ability to write efficient code. Strong problem solving skill and ability to pick up new technologies, languages and tools to solve end customer problems Should have delivered complex products and solutions with a multi technology landscape in a scalable and efficient manner. Well versed with Cloud infrastructure, QA Automation softwares (Selenium, Telerik), Continuous Integration Tools (Jenkins) and working with R, Python, Javascript based solutions Good knowledge of machine learning, deep learning, llms; with proven ability to deliver Ability to work in a fast paced, high performance culture What well do for you Competitive salary with stock options to eligible candidates Flat organization: With a very strong entrepreneurial culture (and no corporate politics) Great people and unlimited fun at work Possibility to make a difference in a scale-up environment. Opportunity to travel onsite in specific phases depending on project requirements. Support network: Work with a team you can learn from everyday. Diversity: We pride ourselves on our international working environment. Work-Life Balance: https://youtu.be/IHSZeUPATBAfeature=shared Feel part of A team: https://youtu.be/QbjtgaCyhesfeature=shared How the process works Apply by clicking the button below Youll be contacted by our recruiter, wholl fill you in on all things at o9, give you some background about the role and get to know you. Theyll contact you either via video call or phone call - whatever you prefer. During the interview phase, you will meet with technical panels for 60 minutes. The recruiter will contact you after the interview to let you know if wed like to progress your application. We will have 2 rounds of Technical discussion followed by a Hiring Manager discussion. Our recruiter will let you know if youre the successful candidate. Good luck! More about us With the latest increase in our valuation from $2.7B to $3.7B despite challenging global macroeconomic conditions, o9 Solutions is one of the fastest-growing technology companies in the world today. Our mission is to digitally transform planning and decision-making for the enterprise and the planet. Our culture is high-energy and drives us to aim 10x in everything we do. Our platform, the o9 Digital Brain, is the premier AI-powered, cloud-native platform driving the digital transformations of major global enterprises including Google, Walmart, ABInBev, Starbucks and many others. Our headquarters are located in Dallas, with offices in Amsterdam, Paris, London, Barcelona, Madrid, Sao Paolo, Bengaluru, Tokyo, Seoul, Milan, Stockholm, Sydney, Shanghai, Singapore an d Munich. o9 is an equal opportunity employer and seeks applicants of diverse backgrounds and hires without regard to race, colour, gender, religion, national origin, citizenship, age, sexual orientation or any other characteristic protected by law Show more Show less

Who We Are Wayfair is moving the world so that anyone can live in a home they love a journey enabled by more than 3,000 Wayfair engineers and a data-centric culture. Wayfairs Advertising business is rapidly expanding, adding hundreds of millions of dollars in profits to Wayfair. We are building Sponsored Products, Display & Video Ad offerings that cater to a variety of Advertiser goals while showing highly relevant and engaging Ads to millions of customers. We are evolving our Ads Platform to empower advertisers across all sophistication levels to grow their business on Wayfair at a strong, positive ROI and are leveraging state of the art Machine Learning techniques. The Advertising Optimization & Automation Science team is central to this effort. We leverage machine learning and generative AI to streamline campaign workflows, delivering impactful recommendations on budget allocation, target Return on Ad Spend (tROAS), and SKU selection. Additionally, we are developing intelligent systems for creative optimization and exploring agentic frameworks to further simplify and enhance advertiser interactions. We are looking for an experienced Senior Machine Learning Scientist to join the Advertising Optimization & Automation Science team. In this role, you will be responsible for building intelligent, ML-powered systems that drive personalized recommendations and campaign automation within Wayfairs advertising platform. You will work closely with other scientists, as well as members of our internal Product and Engineering teams, to apply your ML expertise to define and deliver 0-to-1 capabilities that unlock substantial commercial value and directly enhance advertiser outcomes. What Youll do Design and build intelligent budget, tROAS, and SKU recommendations, and simulation-driven decisioning that extends beyond the current advertising platform capabilities. Lead the next phase of GenAI-powered creative optimization and automation to drive significant incremental ad revenue and improve supplier outcomes. Raise technical standards across the team by promoting best practices in ML system design and development. Partner cross-functionally with Product, Engineering, and Sales to deliver scalable ML solutions that improve supplier campaign performance. Ensure systems are designed for reuse, extensibility, and long-term impact across multiple advertising workflows. Research and apply best practices in advertising science, GenAI applications in creative personalization, and auction modeling. Keep Wayfair at the forefront of innovation in supplier marketing optimization. Collaborate with Engineering teams (AdTech, ML Platform, Campaign Management) to build and scale the infrastructure needed for automated, intelligent advertising decisioning. We Are a Match Because You Have : Bachelor&aposs or Masters degree in Computer Science, Mathematics, Statistics, or related field. 9+ years of experience in building large scale machine learning algorithms. 4+ years of experience working in an architect or technical leadership position. Strong theoretical understanding of statistical models such as regression, clustering and ML algorithms such as decision trees, neural networks, transformers and NLP techniques. Proficiency in programming languages such as Python and relevant ML libraries (e.g., TensorFlow, PyTorch) to develop production-grade products. Strategic thinker with a customer-centric mindset and a desire for creative problem solving, looking to make a big impact in a growing organization. Demonstrated success influencing senior level stakeholders on strategic direction based on recommendations backed by in-depth analysis; Excellent written and verbal communication. Ability to partner cross-functionally to own and shape technical roadmaps Intellectual curiosity and a desire to always be learning! Nice to have Experience with GCP, Airflow, and containerization (Docker). Experience building scalable data processing pipelines with big data tools such as Hadoop, Hive, SQL, Spark, etc. Familiarity with Generative AI and agentic workflows. Experience in Bayesian Learning, Multi-armed Bandits, or Reinforcement Learning. About Wayfair Inc. Wayfair is one of the worlds largest online destinations for the home. Through our commitment to industry-leading technology and creative problem-solving, we are confident that Wayfair will be home to the most rewarding work of your career. If youre looking for rapid growth, constant learning, and dynamic challenges, then youll find that amazing career opportunities are knocking. No matter who you are, Wayfair is a place you can call home. Were a community of innovators, risk-takers, and trailblazers who celebrate our differences, and know that our unique perspectives make us stronger, smarter, and well-positioned for success. We value and rely on the collective voices of our employees, customers, community, and suppliers to help guide us as we build a better Wayfair and world for all. Every voice, every perspective matters. Thats why were proud to be an equal opportunity employer. We do not discriminate on the basis of race, color, ethnicity, ancestry, religion, sex, national origin, sexual orientation, age, citizenship status, marital status, disability, gender identity, gender expression, veteran status, genetic information, or any other legally protected characteristic. We are interested in retaining your data for a period of 12 months to consider you for suitable positions within Wayfair. Your personal data is processed in accordance with our Candidate Privacy Notice (which can found here: https://www.wayfair.com/careers/privacy). If you have any questions regarding our processing of your personal data, please contact us at [HIDDEN TEXT]. If you would rather not have us retain your data please contact us anytime at [HIDDEN TEXT]. Show more Show less

Summary Location: Hyderabad Will lead the governance, program management, and adoption strategy for all Generative AI initiatives within the AI Center of Excellence at Novartis. This role is responsible for driving cross-functional alignment, ensuring compliance with Responsible AI principles, managing stakeholder communications, and increasing platform adoption across the enterprise. The ideal candidate will have strong experience in program governance, executive stakeholder engagement, and driving digital innovation at scale. About The Role Major Accountabilities: Lead the overall governance and program management of GenAI initiatives within the AI Center of Excellence. Drive cross-functional alignment between business units, product teams, and IT functions to ensure effective implementation and scaling of GenAI use cases. Oversee platform-level governanceensuring adherence to Responsible AI, data privacy, security, and compliance frameworks. Lead the adoption and engagement strategy for the GenAI platform across Novartis. Drive awareness campaigns, communications, and enablement activities to expand the platforms visibility and impact. Ensure high-quality execution through program-level dashboards, KPIs, and risk mitigation plans. Enable knowledge sharing and best practices across BUs, regions, and functions to accelerate innovation and reusability. Act as a key liaison with senior stakeholders, vendors, and platform partners. Work Experience 1012 years in program management, with a strong background in emerging technologies, digital transformation, or enterprise platforms. Proven experience in driving large-scale cross-functional programs and governance models. Experience in managing executive stakeholders and building trust-based relationships. Exposure to AI/ML, Generative AI, or Data Science programs is a strong plus. Demonstrated ability to work across a matrixed global organization. Why consider Novartis Our purpose is to reimagine medicine to improve and extend peoples lives and our vision is to become the most valued and trusted medicines company in the world. How can we achieve this With our people. It is our associates that drive us each day to reach our ambitions. Be a part of this mission and join us! Learn More Here https://www.novartis.com/about/strategy/people-and-culture Commitment To Diversity And Inclusion Novartis is committed to building an outstanding, inclusive work environment and diverse teams' representative of the patients and communities we serve. Join our Novartis Network: If this role is not suitable to your experience or career goals but you wish to stay connected to hear more about Novartis and our career opportunities, join the Novartis Network here: https://talentnetwork.novartis.com/network Why Novartis: Helping people with disease and their families takes more than innovative science. It takes a community of smart, passionate people like you. Collaborating, supporting and inspiring each other. Combining to achieve breakthroughs that change patients lives. Ready to create a brighter future together https://www.novartis.com/about/strategy/people-and-culture Join our Novartis Network: Not the right Novartis role for you Sign up to our talent community to stay connected and learn about suitable career opportunities as soon as they come up: https://talentnetwork.novartis.com/network Benefits and Rewards: Read our handbook to learn about all the ways well help you thrive personally and professionally: https://www.novartis.com/careers/benefits-rewards Show more Show less

What is Contentstack Contentstack is on a mission to deliver the world&aposs best digital experiences through a fusion of cutting-edge content management, customer data, personalization and AI technology. Iconic brands, such as AirFrance KLM, ASICS, Burberry, Mattel, Mitsubishi and Walmart, depend on the platform to rise above the noise in today&aposs crowded digital markets and gain their competitive edge. Contentstack and its employees are dedicated to the customers and communities they serve. The company is recognized for its unmatched customer care and tradition of giving back globally through the Contentstack Cares program, including proud support of Pledge 1% and Girls Who Code. Learn more at www.contentstack.com. Who Are We At Contentstack we are more than colleagues, we are a tribe. Our vision is to pursue equity among our communities, employees, partners, and customers. We are global-diverse yet close; distributed yet connected. We are dreamers and dreammakers who challenge the status quo. We do the right thing, even when no one is watching. We are curious trendspotters and brave trendsetters. Our mission is to make Contentstack indispensable for organizations to tell their stories and to connect with the people they care about through inspiring, modern experiences. We care deeply about our customers and the communities we serve. #OneTeamOneDream. Chalo, let&aposs go! Roles & Responsibilities The primary purpose of this role is to be part of the R&D Disruptive product team ideating, developing the MVP product developing new products.. Working with emerging technologies Trying out new Technologies and developing prototypes Work with different product and engineering teams for adoption of the emerging tech within the stable products Work across the stack from a code commit to running it in production, with the end goal of delivering the best possible experience for the user Design, develop and test features from inception to rollout Write high quality code that is scalable, testable, maintainable and reliable Collaborate with people across roles to understand the domain and work towards building the right solution Adopt an open mindset for learning new things and working in new roles Continuously improve by working on and providing feedback Requirements Knoweledge of Generative AI (LLM) Experince in integrating with LLM APIs like(function calling, MCP) Experince in working with LLM Agents and creating Agentic AI solution Experince in creating RAG pipeline. experince in Prompt Engineering Ability to learn new skills quickly and apply them to solving tough problems Object-oriented design and development skills Good understanding of the Software Development Life Cycle Knowledge of the following: Html, CSS, Javascript, Node.js Good communication skills Exposure to databases like MongoDB, Redis, and/or any Relational databases is preferred What Really Gets Us Excited About You Working independently on the emerging technologies Curiosity and deep interest in solving problems Project/intern experience in working with software product companies What Do We Offer Interesting Work | We hire curious trendspotters and brave trendsetters. This is NOT your boring, routine, cushy, rest-and-vest corporate job. This is the "challenge yourself" role where you learn something new every day, never stop growing, and have fun while you&aposre doing it. Tribe Vibe | We are more than colleagues, we are a tribe. We have a strict "no a**hole policy" and enforce it diligently. This means we spend time together - with spontaneous office happy hours, organized outings, and community volunteer opportunities. We are a diverse and distributed team, but we like to stay connected. Bragging Rights | We are dreamers and dream makers. Our efforts pay off and we work with the most prestigious brands, from big-name retailers to airlines, to professional sports teams. Your contribution will make an impact with many of the most recognizable names in almost every industry including AirFrance KLM, ASICS, Burberry, Mattel, Mitsubishi, Walmart, and many more! One Team One Dream | This is one of our values, and it shows. We don&apost believe in artificial hierarchies. If you&aposre part of the tribe, you have an opportunity to contribute. Your voice will be heard and you will also receive regular updates about the business and its performance. Which, btw, is through the roof, so it&aposs a great time to be joining To review our Privacy Policy, please click here. Show more Show less

ZS Advanced Data Science - Associate ZS is a place where passion changes lives. As a management consulting and technology firm focused on transforming global healthcare and beyond, our most valuable asset is our people. Here youll work side-by-side with a powerful collective of thinkers and experts shaping solutions from start to finish. At ZS, we believe that making an impact demands a different approach; and thats why here your ideas elevate actions, and here youll have the freedom to define your own path and pursue cutting-edge work. We partner collaboratively with our clients to develop products that create value and deliver company results across critical areas of their business including portfolio strategy, customer insights, research and development, operational and technology transformation, marketing strategy and many more. If you dare to think differently, join us, and find a path where your passion can change lives. Our most valuable asset is our people . At ZS we honor the visible and invisible elements of our identities, personal experiences and belief systems the ones that comprise us as individuals, shape who we are and make us unique. We believe your personal interests, identities, and desire to learn are part of your success here. Learn more about our diversity, equity, and inclusion efforts and the networks ZS supports to assist our ZSers in cultivating community spaces, obtaining the resources they need to thrive, and sharing the messages they are passionate about. About Advanced Data Science (ADS): ZS Advanced Data Science group is focused on creating practical impact for clients across various industries such as Healthcare and Bio-Tech, Hi-Tech & Telecommunication, Financial Services and Travel through advanced analytics and emerging data sources. Emerging datasets include both unstructured datasets (for example, text, voice, image, etc.) and semi-structured datasets (for example, patient-level records). Advanced analytical techniques span a range of innovative machine learning, artificial intelligence, advanced statistics and optimization approaches. Being part of the ADS group at ZS will be an opportunity for you to work on cutting-edge solutions, utilizing new age data sources to shape innovations across multiple areas, for our clients and the broader ZS community. A key enabler of our services is leveraging data in delivering client solutions. The data available about customers is getting richer and the problems that our customers are trying to answer continue to evolve. In our endeavor to stay ahead in providing solutions to these evolving complex problems, ZS has set up an Advanced Data Science which has three major focus areas: • Research the evolving datasets and advanced analytical techniques to develop new offerings/solutions • Deliver client impact by collaboratively implementing these solutions • Provide thought leadership by developing the ZS Point of View in this space Data Science Associate Data Science Associate (DSA) design, develop and execute high-impact analytics solutions for large, complex, structured and unstructured data sets (including big data) to help clients make better fact-based decisions. Responsibilities: Develop advanced algorithms that solve problems of large dimensionality in a computationally efficient and statistically effective manner • Execute statistical and data mining techniques (e.g. hypothesis testing, machine learning and retrieval processes) on large data sets to identify trends, figures and other relevant information • Collaborate with clients and other ZS stakeholders to effectively integrate and communicate analysis findings • Contribute to the evaluation of emerging datasets and technologies that may contribute to our analytical platform • Evaluating emerging datasets and technologies that may contribute to our analytical platform • Owning the development of select assets/accelerators for efficient scaling of capability, with a focus on leveraging generative AI and deep learning methodologies. • Integrate engineering principles into data science workflows, optimizing algorithms for performance, scalability, and maintainability. • Collaborate with the engineering team to implement and deploy data science solutions into production, ensuring seamless integration with existing systems. • Utilize software engineering best practices for version control, code review, testing, and documentation to maintain high-quality, reliable, and reproducible data science workflows. Qualifications: Bachelor's or master's degree or PhD in Computer Science (or Statistics) from a premier institute, and strong academic performance with analytic and quantitative coursework is required. • 1-3 years of Data Science experience, including proficiency in generative AI, deep learning, statistical techniques, and engineering integration for scalable solutions. • Knowledge of programming (e.g. Java/Python/R); • Knowledge of big data/advanced analytics concepts and algorithms (e.g. text mining, social listening, recommender systems, predictive modeling, etc.); • Excellent oral and written communication skills. • Strong attention to detail, with a research-focused mindset; • Excellent critical thinking and problem-solving skills; • High motivation, good work ethic and maturity. • Exposure to Generative AI and its usage to solve problems is a plus. Perks & Benefits: ZS offers a comprehensive total rewards package including health and well-being, financial planning, annual leave, personal growth and professional development. Our robust skills development programs, multiple career progression options and internal mobility paths and collaborative culture empowers you to thrive as an individual and global team member. We are committed to giving our employees a flexible and connected way of working. A flexible and connected ZS allows us to combine work from home and on-site presence at clients/ZS offices for the majority of our week. The magic of ZS culture and innovation thrives in both planned and spontaneous face-to-face connections. Considering applying? At ZS, we're building a diverse and inclusive company where people bring their passions to inspire life-changing impact in global healthcare and beyond. We are most interested in finding the best candidate for the job and recognize the value that candidates with all backgrounds, including non-traditional ones, bring. If you are interested in joining us, we encourage you to apply even if you don't meet 100% of the requirements listed above. ZS is an equal opportunity employer and is committed to providing equal employment and advancement opportunities without regard to any class protected by applicable law. To Complete Your Application: Candidates must possess work authorization for their intended country of employment. An on-line application, including a full set of transcripts (official or unofficial), is required to be considered. NO AGENCY CALLS, PLEASE. Find Out More At: www.zs.com

Senior Lead Data Scientist Retail AI/ML Strategy Location: Bangalore Experience Required: 6+ years in Data Science with deep expertise in AI/ML applications in retail and CPG About the Role: We are looking for a Senior Lead Data Scientist to drive strategic AI/ML initiatives across retail, consumer behavior, merchandising, and supply chain domains You will lead the design and implementation of cutting-edge models, including Bayesian analytics, regression and ensemble models, and semantic systems, to optimize sales, marketing, pricing, and operational decisions. Key Responsibilities: • Model Development & Machine Learning o Build, deploy, and scale advanced ML models using Python Frameworks. o Design solutions across key retail/CPG domains: Bayesian Analytics using tools like PyMC3, Stan, or BAMBI for uncertainty modeling and hierarchical inference. Market Mix Modeling (MMM) for marketing ROI and media budget allocation. Regression & Ensemble Modeling (e.g., Random Forest, XGBoost, LightGBM) for demand prediction, elasticity estimation, and churn analysis. New Store Forecastin g using spatial and demographic signals. Semantic Search Systems powered by embeddings and transformer-based architectures. Order Fraud Detection Models leveraging anomaly detection, supervised learning, and ensemble stacks. • Advanced Retail Use Cases o Lead AI/ML initiatives on: Assortment Optimization using constrained optimization or evolutionary algorithms. A/B & Multivariate Testing Frameworks including CUPED, geo-testing, and Bayesian lift measurement. Advanced Price Elasticity models using log-log forms, SHAP attribution, and marginal simulations. CLTV, RFM Segmentation , and customer churn prediction. Sales Attribution & Store Driver Modeling via regression and causal inference. Survey Analytics including sentiment analysis, NPS drivers, and unstructured feedback clustering. Merchandise Analytics covering product placement, ROI, markdown effectiveness, and space planning. • Cross-functional Leadership o Present findings and strategic recommendations to senior leadership. o Lead data science pods and mentor junior team members. • AI/ML Innovation o Stay ahead of the curve with innovations in LLMs, causal inference, probabilistic programming, and generative AI. o Build and maintain reusable modeling pipelines and experiment frameworks. Required Qualifications: • Masters or Bachelors in Computer Science, Statistics, Mathematics, Economics, or related fields. • 6+ years of experience in data science and machine learning, with a focus on retail or consumer-focused industries. • Proficiency in Python (pandas, scikit-learn, PyMC3, BAMBI), SQL, XGBoost, LightGBM, and forecasting techniques. • Hands-on experience with regression analysis, ensemble methods, Bayesian modeling, and experimentation design. • Exposure to causal inference libraries like DoWhy or EconML. Preferred Skills: • Familiarity with BI tools like Power BI, Tableau for dashboarding and executive storytelling. • Working knowledge of cloud platforms like Azure, AWS, or GCP and tools such as Databricks or MLflow

We are looking for an intern who has prior exposure to Generative AI solutions either through a certification course or previous internship. If youve already build automation solutions using CustomGPT, AI Agents & Agentic AI and want to work on real-world applications, this is your chance! Requirements Completed a certification or internship in Generative AI / Prompt Engineering Hands-on experience with LLM's tools like ChatGPT, Gemini or other Gen AI application Eagerness to explore AI in business, marketing & automation Bonus: Familiarity with Agentic tools like make.com, n8n, etc Role Highlights Work on live AI projects (prompts, content, automation) Research AI trends and build internal use cases Build AI marketing autiomation with Agentic AI Contribute to AI-based tools and workflow testing Selection Process Online written assessment Hands on plus practicle asesment Interview with our team Benifits: Certificate on Internship 6 months to 1 Year Attractive stipend

Key Responsibilities Design, develop, and optimize Machine Learning & Deep Learning models using Python and libraries such as TensorFlow, PyTorch, and Scikit-learn Work with Large Language Models (e.g., GPT, BERT, T5) to solve NLP tasks such as, semantic search, summarization, chatbots, conversational agents, and document intelligence. Lead the development of scalable AI solution including data preprocessing, embedding generation, vector search, and prompt orchestration. Build and manage vector databases and metadata stores to support high-performance semantic retrieval and contextual memory. Implement caching, queuing, and background processing systems to ensure performance and reliability at scale. Conduct independent R&D to implement cutting-edge AI methodologies, evaluate open-source innovations, and prototype experimental solutions Apply predictive analytics and statistical techniques to mine actionable insights from structured and unstructured data. Build and maintain robust data pipelines and infrastructure for end-to-end ML model training, testing, and deployment Collaborate with cross-functional teams to integrate AI solutions into business processes Contribute to the MLOps lifecycle, including model versioning, CI/CD, performance monitoring, retraining strategies, and deployment automation Stay updated with the latest developments in AI/ML by reading academic papers, and experimenting with novel tools or frameworks Required Skills & Qualifications Proficient in Python, with hands-on experience in key ML libraries: TensorFlow, PyTorch, Scikit-learn, and HuggingFace Transformers Strong understanding of machine learning fundamentals, deep learning architectures (CNNs, RNNs, transformers), and statistical modeling Practical experience working with and fine-tuning LLMs and foundation models Deep understanding of vector search, embeddings, and semantic retrieval techniques. Expertise in predictive modeling, including regression, classification, time series, clustering, and anomaly detection Comfortable working with large-scale datasets using Pandas, NumPy, SciPy etc. Experience with cloud platforms (AWS, GCP, or Azure) for training and deployment is a plus If Interested, Kindly email your resume to neha.saluja@infogain.com with below details Current CTC Expected CTC Notice Period

About the Role: We are seeking a talented and experienced GenAI Developer with expertise in Python , Large Language Models (LLMs) , Natural Language Processing (NLP) , and AI agent development to join our dynamic team. The ideal candidate will work on the development and integration of cutting-edge AI solutions in cloud environments (AWS, GCP, Azure), integrating with CRM systems, and optimizing AI model performance. You will be responsible for developing AI agents , fine-tuning models using Hugging Face Transformers , and OpenAI technologies, and optimizing systems to meet business needs in a scalable and ethical manner. The role involves close collaboration with cross-functional teams, and youll be working on AI-driven features , APIs , and cloud integrations. Key Responsibilities: AI Model Development: Design, develop, and fine-tune AI models using OpenAI LLMs , Hugging Face Transformers , and advanced NLP techniques (e.g., prompt engineering , reinforcement learning from human feedback (RLHF) ). Cloud Integration: Develop, deploy, and optimize AI solutions on cloud platforms ( AWS , GCP , Azure ) ensuring scalability , reliability , and performance . API Development & Integration: Build and maintain APIs to integrate AI solutions with CRM platforms and third-party applications. Ensure seamless integration of AI agents into customer-facing systems. Model Interpretability & Transparency: Apply model interpretability tools to ensure transparency and ethical AI practices, and help explain AI model decisions to both technical and non-technical stakeholders. Continuous Learning & Optimization: Stay updated on the latest advancements in LLMs , AI agents , and Generative AI (GenAI) technologies. Continuously optimize the performance of AI models, focusing on accuracy, efficiency, and business needs. Collaboration & Innovation: Work closely with cross-functional teams to design innovative AI-driven features. Contribute to architecture decisions and AI system enhancements. Apply Agile development practices to ensure timely delivery. Candidate Profile: Education: A Bachelor’s degree in Computer Science , Artificial Intelligence , Information Technology , or a related technical field. Experience: 2 to 4 years of professional experience in AI development , with a strong focus on LLMs , NLP , Python , and cloud platforms . Proven experience with model fine-tuning , API development , and cloud integration is essential. Skills Required: Proficiency in Python with experience in Django or other web frameworks. Strong understanding of NLP techniques, including prompt engineering and reinforcement learning . Hands-on experience with Hugging Face Transformers and OpenAI models (GPT, etc.). Strong experience with cloud platforms ( AWS , GCP , Azure ) for deploying AI solutions. Familiarity with version control systems (GitHub, Git). Experience developing and consuming RESTful APIs for seamless third-party integrations. Familiarity with database technologies (e.g., PostgreSQL , MySQL , MongoDB ) and GraphQL is a plus. Preferred Skills: Knowledge of Generative AI (GenAI) frameworks (e.g., Azure OpenAI , DALL•E ). Experience with RAG (retrieval-augmented generation) techniques for improving model performance. Familiarity with tools like Jupyter Notebooks , Streamlit , and Flask for rapid prototyping. Experience with ethical AI practices and ensuring model transparency.

Role & responsibilities 5+ years of experience with Microsoft 365 and/or Power Platform. • Hands-on experience with Microsoft Copilot and generative AI tools. • Strong understanding of AI-driven productivity features in Microsoft 365 apps. • Knowledge of PowerApps, Power Automate, SharePoint, and Dataverse. • Experience with Microsoft Graph, Azure OpenAI, or related APIs is a plus. • Excellent communication and collaboration skills to work with business and technical stakeholders. • Strong problem-solving mindset and attention to detail Preferred candidate profile