19 Multimodal Ai Jobs

You are a Machine Learning & Generative AI Engineer responsible for designing, building, and deploying advanced ML and GenAI solutions. This role presents an exciting opportunity to work on cutting-edge AI systems, such as LLM fine-tuning, Transformer architectures, and RAG pipelines, while also contributing to traditional ML model development for decision-making and automation. With a minimum of 3 years of experience in Machine Learning, Deep Learning, and AI model development, you are expected to demonstrate a strong proficiency in Python, PyTorch, TensorFlow, Scikit-Learn, and MLflow. Your expertise should encompass Transformer architectures (such as BERT, GPT, T5, LLaMA, Falcon) and attention mechanisms. Additionally, experience with Generative AI, including LLM fine-tuning, instruction tuning, and prompt optimization is crucial. You should be familiar with RAG (Retrieval-Augmented Generation) embeddings, vector databases (FAISS, Pinecone, Weaviate, Chroma), and retrieval workflows. A solid foundation in statistics, probability, and optimization techniques is essential for this role. You should have experience working with cloud ML platforms like Azure ML / Azure OpenAI, AWS SageMaker / Bedrock, or GCP Vertex AI. Familiarity with Big Data & Data Engineering tools like Spark, Hadoop, Databricks, and SQL/NoSQL databases is required. Proficiency in CI/CD, MLOps, and automation pipelines (such as Airflow, Kubeflow, MLflow) is expected, along with hands-on experience with Docker and Kubernetes for scalable ML/LLM deployment. It would be advantageous if you have experience in NLP & Computer Vision areas, including Transformers, BERT/GPT models, YOLO, and OpenCV. Exposure to vector search & embeddings for enterprise-scale GenAI solutions, multimodal AI, Edge AI / federated learning, RLHF (Reinforcement Learning with Human Feedback) for LLMs, real-time ML applications, and low-latency model serving is considered a plus. Your responsibilities will include designing, building, and deploying end-to-end ML pipelines covering data preprocessing, feature engineering, model training, and deployment. You will develop and optimize LLM-based solutions for enterprise use cases, leveraging Transformer architectures. Implementing RAG pipelines using embeddings and vector databases to integrate domain-specific knowledge into LLMs will also be part of your role. Fine-tuning LLMs on custom datasets for domain-specific tasks and ensuring scalable deployment of ML & LLM models on cloud environments are critical responsibilities. Collaborating with cross-functional teams comprising data scientists, domain experts, and software engineers to deliver AI-driven business impact is expected from you.,

Techvantage Analytics is a fast-growing AI services and product engineering company specializing in Analytics, Machine Learning, and AI-based solutions. We are seeking a forward-thinking and highly experienced Gen AI Architect to design and implement cutting-edge AI solutions. The role involves leveraging the latest advancements in artificial intelligence and data science, including foundation models, multimodal AI, federated learning, and emerging AI frameworks. The ideal candidate will drive the development and deployment of scalable AI systems that power innovative applications across diverse domains. In this role, you will be responsible for AI Architecture Design, where you will develop robust architectures for generative AI solutions, leveraging the latest advancements in foundation models, large language models (LLMs), and multimodal AI. You will also be involved in Model Development, building and fine-tuning advanced generative models, such as GPT-based models, diffusion models, and transformers, for applications in text, image, video, and audio generation. Framework Integration is another key aspect of the role, where you will integrate modern AI frameworks, such as LangChain and LlamaIndex, to enhance the capabilities of generative models in production environments. Additionally, you will be tasked with implementing Data Strategy, including synthetic data generation, federated learning, and secure data sharing protocols for effective model training. You will design and oversee the deployment of scalable AI systems using the latest technologies, such as MLOps pipelines, container orchestration (Docker, Kubernetes), and serverless architectures. Ensuring Ethics & Compliance is also crucial, where you will make sure AI models comply with ethical guidelines, including responsible AI principles, addressing fairness, transparency, and mitigating bias. Staying updated with the latest AI trends, such as reinforcement learning with human feedback (RLHF), AI explainability, and continual learning, and applying them to real-world problems is essential. Collaboration is key in this role, as you will work closely with cross-functional teams, including data engineers, scientists, and product managers, to align AI systems with business goals. Leadership & Mentorship are also important aspects, as you will provide guidance to junior AI practitioners and foster a culture of innovation within the team. Performance Monitoring is another critical responsibility, where you will define KPIs for model performance, monitor systems in production, and implement mechanisms for continuous improvement and retraining. The ideal candidate for this role should have a Bachelors, Masters, or Ph.D. in Computer Science, Artificial Intelligence, Data Science, or related fields, along with 5+ years of experience in AI/ML, with a focus on generative AI technologies. Proven expertise in deploying large-scale generative models in production environments, hands-on experience with AI/ML frameworks such as PyTorch, TensorFlow, and Hugging Face Transformers, and proficiency in Python, R, or Julia for data science and AI model development are required. Additionally, expertise in cloud-native AI solutions, familiarity with advanced data strategies like synthetic data creation and federated learning, and hands-on experience with MLOps practices are preferred. Strong analytical skills, the ability to thrive in a dynamic, fast-paced environment, and a proven track record of working effectively within cross-functional teams are also desired qualities in the ideal candidate.,

We are seeking a skilled Machine Learning Engineer / Data Scientist with specialized knowledge in ML, NLP, and Large Language Models (LLMs). The perfect candidate should possess over 4 years of experience in ML/NLP and a minimum of 1 year of practical exposure to LLMs, particularly in fine-tuning, RAG, and AI-driven agents. Your primary responsibilities will include refining and optimizing LLMs such as GPT, LLaMA, and Mistral, as well as creating AI agents utilizing CrewAI, LangChain, and AutoGPT. Additionally, you will be tasked with constructing and improving RAG pipelines using FAISS, Pinecone, and Weaviate, working on various NLP models like text classification, summarization, and NER, and staying abreast of the latest advancements in LLM technology. To excel in this role, you should have at least 4 years of experience in ML/NLP and a minimum of 1 year in LLMs, be proficient in Python, PyTorch, and TensorFlow, possess expertise in LLM fine-tuning methods such as LoRA, PEFT, and QLoRA, and have practical experience with AI agents and RAG tools. Desirable qualifications for this position include familiarity with multi-modal AI applications like text-to-image and speech-to-text, knowledge of contrastive learning and RLHF, and a background in open-source contributions or AI publications. This opportunity has been presented by Aarushi Madhani on behalf of FiftyFive Technologies.,

As a Senior Machine Learning Engineer at TrueFan in Gurugram, you will play a crucial role in designing, developing, and deploying cutting-edge models for end-to-end content generation using AI-driven technologies. Your responsibilities will include working on advanced generative models such as Diffusion Models, 3D VAEs, and GANs to create highly realistic AI-generated media. You will collaborate with software engineers to deploy models efficiently on cloud-based architectures and stay updated with the latest trends in deep generative models and transformer-based vision systems to enhance content quality. Your main responsibilities will revolve around designing and implementing state-of-the-art generative models, building AI pipelines for image/video generation and lipsyncing, developing lipsyncing and multimodal generation models for hyper-realistic content, implementing real-time content generation systems, and conducting experiments to evaluate and improve model performance. Additionally, you will participate in code reviews, improve model efficiency, and document research findings to enhance team knowledge-sharing and product development. To be successful in this role, you should have a Bachelor's or Master's degree in Computer Science, Machine Learning, or a related field, along with at least 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, reinforcement learning, and large-scale AI model training are also required. Preferred qualifications include experience with transformers and vision-language models, a background in text-to-video and lipsync generation, familiarity with cloud-based AI pipelines, and contributions to open-source projects or published research in AI-generated content.,

Value Health Inc. is a rapidly growing Life Sciences Consulting, Digital Transformation, and Productized Services company that collaborates with Fortune 500 companies worldwide. With a focus on Healthcare and Life Sciences, we leverage cutting-edge technologies to deliver innovative solutions. As the Head of Product Development at Value Health Inc, you will play a pivotal role in leading the strategy, design, and execution of AI-powered products. Your responsibilities will include defining and executing the Gen AI product roadmap, overseeing the development and deployment of AI solutions, managing a team of researchers and engineers, staying abreast of AI advancements, collaborating with cross-functional teams, ensuring technical oversight, and maintaining a customer-centric approach. Your qualifications should include a Masters in computer science, AI/ML, Data Science, or a related field, along with 10+ years of experience in product development, with a focus on AI/ML. You should have expertise in Generative AI technologies, hands-on experience with AI/ML frameworks, and a proven ability to scale AI solutions from concept to production. Strong leadership, communication, and stakeholder management skills are essential, along with experience in a fast-paced, agile environment. Preferred skills include experience with cloud platforms for AI deployment, knowledge of MLOps best practices, exposure to ethical AI frameworks, and an understanding of UI/UX considerations in AI-driven products. At Value Health Inc, you will thrive in a dynamic growth environment, have the freedom to unleash your creativity, make impactful decisions, and engage in continuous learning opportunities. If you are seeking a workplace where your potential aligns with purpose, Value Health Inc offers a customer and employee-friendly culture that values growth and collaboration. Join us on a journey towards professional fulfillment and be part of a team where your contributions make a difference. Visit our website to learn more about us: https://valuehealthai.com/,

The company is looking for a Lead AI Engineer with over 8 years of experience to drive AI initiatives, innovate, and create scalable AI/ML solutions. As a Lead AI Engineer, your responsibilities will include developing enterprise-scale AI/ML solutions, leading cutting-edge AI methodologies, collaborating with stakeholders to align AI strategy with business goals, optimizing model performance, establishing best practices for AI development, exploring new AI techniques, managing and mentoring a team of AI engineers, and presenting insights to leadership teams. You should have a Masters or Ph.D. in Computer Science, AI, Machine Learning, or a related field, along with at least 8 years of experience in AI, ML, and deep learning. Proficiency in LLMs, Generative AI, NLP, and multimodal AI is required, as well as expertise in Python, R, Java, and AI/ML frameworks like TensorFlow, PyTorch, or Hugging Face. Experience with cloud-based AI solutions, MLOps, and scalable architectures is essential. Strong leadership, communication, and stakeholder management skills are also necessary. Preferred skills include experience in multi-agent systems, federated learning, AI ethics, computer vision, reinforcement learning, and AI automation. Contributions to AI research, patents, or publications are a plus. The company offers perks such as flexible timings, 5 days working week, a healthy work environment, celebrations, opportunities to learn and grow, building a community, and medical insurance benefits.,

The Head of Product Development at Value Health Inc. is responsible for leading the strategy, design, and execution of cutting-edge AI-powered products. In this role, you will oversee the end-to-end development lifecycle, ensuring seamless integration of Gen AI capabilities into innovative solutions. The ideal candidate will possess deep expertise in AI/ML, strong leadership skills, and a proven track record in building AI-driven products that deliver business value. As the Head of Product Development, your day-to-day activities will include: Strategic Leadership: Defining and executing the Gen AI product roadmap aligned with business goals and market needs. Product Development: Leading and overseeing the design, development, and deployment of AI-powered products, ensuring high scalability, security, and performance. Team Management: Building, mentoring, and leading a team of AI researchers, engineers, and product managers to drive innovation and execution. AI Research & Innovation: Staying at the forefront of Generative AI advancements, identifying opportunities to enhance products with state-of-the-art AI techniques. Collaboration: Working closely with cross-functional teams, including engineering, data science, marketing, and sales, to ensure successful product launches and adoption. Technical Oversight: Guiding the implementation of ML models, algorithms, and frameworks to optimize performance and efficiency. Customer-Centric Approach: Gathering market feedback, analyzing user needs, and ensuring AI solutions align with customer expectations and business objectives. Compliance & Ethics: Ensuring adherence to AI governance, ethical AI practices, data privacy laws, and regulatory compliance in all AI-driven solutions. Budget & Resource Allocation: Managing budgets, resources, and timelines effectively to meet project deadlines and company goals. Qualifications: - Master's in computer science, AI/ML, Data Science, or a related field. - 10+ years of experience in product development, with at least 5 years in AI/ML, and 3+ years leading AI-driven product teams. - Strong expertise in Generative AI technologies such as LLMs (Large Language Models), NLP, GANs, Transformers, and multimodal AI. - Hands-on experience with AI/ML frameworks such as TensorFlow, PyTorch, Hugging Face, OpenAI APIs, and cloud AI services. - Proven ability to scale AI solutions from concept to production in real-world applications. - Strong business acumen with a deep understanding of AI monetization strategies. - Excellent leadership, communication, and stakeholder management skills. - Experience working in a fast-paced, agile startup or enterprise environment. Preferred Skills: - Experience with cloud platforms (AWS, Azure, Google Cloud) for AI deployment. - Knowledge of MLOps best practices, including model monitoring and continuous improvement. - Exposure to ethical AI frameworks and responsible AI principles. - Strong understanding of UI/UX considerations in AI-driven products. - Prior experience in product development. Value Health Inc. offers a dynamic growth environment where you can thrive in a rapidly expanding company with opportunities for professional development and personal growth. You'll have the freedom to think innovatively, experiment with tasks, and make impactful decisions that directly shape the success of crucial companies. Additionally, you can immerse yourself in continuous learning opportunities and contribute to a collaborative and supportive community.,

As an AI Architect at Novartis Healthcare Private Limited, you will be responsible for designing and implementing cutting-edge Generative AI (GenAI) solutions specifically tailored for the pharmaceutical and life sciences industry. Your role will involve defining AI strategies, selecting and fine-tuning generative AI models, and ensuring seamless integration with enterprise systems to enhance various aspects such as drug discovery, clinical trials, regulatory compliance, and patient-centric solutions. Collaboration with data scientists, engineers, and business stakeholders will be essential to develop scalable, compliant, and high-performance AI applications leveraging large language models (LLMs), multimodal AI, and AI-driven automation. Your key responsibilities will include defining and implementing a generative AI architecture and roadmap aligned with business goals in pharma and life sciences, architecting scalable GenAI solutions for various applications in the industry, working on the development, fine-tuning, and optimization of large language models (LLMs), designing GenAI solutions leveraging cloud platforms or on-premise infrastructure while ensuring data security and regulatory compliance, implementing best practices for GenAI model deployment, monitoring, and lifecycle management within GxP-compliant environments, ensuring compliance with regulatory standards and responsible AI principles, driving efficiency in generative AI models, collaborating with cross-functional teams, staying updated with the latest advancements in GenAI, and incorporating emerging technologies into the company's AI strategy. To be successful in this role, you are required to have a Bachelor's or Master's degree in Computer Science, AI, Data Science, Bioinformatics, or a related field, along with 8+ years of experience in AI/ML development with at least 2 years in an AI Architect or GenAI Architect role in pharma, biotech, or life sciences. Technical expertise in Generative AI, large language models (LLMs), multimodal AI, deep learning, AI/ML frameworks, data engineering, ETL pipelines, programming languages, cloud AI services, MLOps, DevOps, regulatory & ethical AI, and problem-solving skills are essential. Excellent communication and leadership skills are also required to articulate GenAI strategies and solutions to technical and non-technical stakeholders. Preferred qualifications include experience in GenAI applications for medical writing, automated clinical trial protocols, drug discovery, and regulatory intelligence, knowledge of AI explainability, retrieval-augmented generation (RAG), knowledge graphs, and synthetic data generation in life sciences, AI/ML certifications, understanding of biomedical ontologies, semantic AI models, and federated learning, exposure to fine-tuning LLM models, and familiarity with specific AI models like BioGPT, PubMedBERT, and custom SLMs. Novartis is committed to fostering an inclusive work environment and building diverse teams that are representative of the patients and communities the company serves. If you require accommodation during the recruitment process due to a medical condition or disability, you can reach out to [email protected] with your request and contact information. Join Novartis in creating a brighter future together and explore the opportunities within the Novartis Network for suitable career options.,

Summary Responsible for the detailed Design, Development, and Delivery of system solutions such as Web applications, Analytical, and Gen AI within a specific business or technology area. This role requires alignment with the defined solution architecture, leveraging existing patterns, and ensuring compliance with both business and technical requirements. Take accountability for the technical delivery of projects/use cases for a specific business/technology area and ensure adherence to Security and Compliance policies and procedures within the Service Delivery scope About The Role Role Title: Assoc. Dir. DDIT DEV Data Analytics DS&AI Location : Hyderabad Hyd-India# LI Hybrid Role Purpose Create the detailed DDIT solution/service design, based on functional specifications to meet quality and performance requirements and technical constraints. Responsible for detailed design, development, code review and delivery of Analytical and Gen AI solutions Your Responsibilities Include But Are Not Limited To Responsible for the detailed design, development, and delivery of system solutions within a specific business or technology area. This role requires alignment with the defined solution architecture, leveraging existing patterns, and ensuring compliance with both business and technical requirements. Develop solution architectures that align with enterprise standards and meet functional and non-functional requirements, and the solution could be Reporting, Web application and Gen AI. Leverage reference architectures, patterns, and standards to ensure consistency and scalability. Take accountability for technical delivery of projects/use cases for a specific business/technology area and ensure adherence with Security and Compliance policies and procedures within Service Delivery scope Collaborate and lead with diverse groups of work colleagues (data engineering, data science, platform team and business stakeholders) and positively manage ambiguity Apply best practices in design and continuously improve upon intuitive user experience for business stakeholders. Ensure the overall user experience is considered when designing new solutions and services Individual contributor or leading teams. Engaging with multiple stakeholders (architecture / infrastructure / vendor partners) medium to large-sized complexity of projects What Youll Bring To The Role Should have a background in programming and solution design. Exposure to a wide range of technologies is preferred in Reporting, Web applications and Gen AI domain. Experience in project management and solution/service delivery Strong analytical and conceptual skills for designing and implementing IT solutions that meet business needs. Hands-on experience in Cloud Platforms like AWS (Amazon Web Services), Amazon S3, Amazon RDS, Databricks, AWS Glue Extensive hands-on experience with Power BI or Qlik Sense/ Spotfire Experience in web technologies and React JS Working experience and knowledge in ETL tools (Databricks, Spark, Kafka, Dataiku etc.), data modeling Experience working with Database technologies (Oracle, Snowflake, etc.) & data processing languages (SQL, Python, R, etc.) proficiency in Generative AI, large language models (LLMs), multimodal AI, and deep learning for pharma applications. Excellent communication and stakeholder management skills. Experience in highly regulated environments, ideally in the Pharma industry, including on Computer System Validation with good documentation practice (GxP) Experience working in Agile Scrum teams Exposure to fine-tuning the LLM models will be a big plus Desirable Requirements Education & Qualifications bachelors degree in computer science, Computer Engineering or related technical discipline or equivalent experience demonstrated 12+ years of experience with expert understanding and proven track record in analysing business processes, architecting, designing, developing and integrating complex, cross-divisional end to end analytical solutions with large data volumes. Hands on to ETL tools like Databricks, SQL, Database technologies, AWS technologies (Primary Skill - Strong), Power BI technologies (Primary Skill- Good), web technologies and React JS (Primary Skill- Strong), Generative AI, large language models (LLMs), multimodal AI, and deep learning (Secondary Skill or Good to have), Architect for Reporting, Analytical and Web applications(Primary Skill),Python or R (Secondary Skill or Good to have), GxP compliance (Good to have), Pharma domain knowledge (Good to have) Commitment To Diversity & Inclusion Novartis embraces diversity, equal opportunity, and inclusion. We are committed to building diverse teams, representative of the patients and communities we serve, and we strive to create an inclusive workplace that cultivates bold innovation through collaboration and empowers our people to unleash their full potential. 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

Develop and implement generative AI models, applying deep learning techniques such as GPT, VAE, and GANs to solve business problems. Collaborate with cross-functional teams to understand business challenges, develop hypotheses, and test them with data to drive informed decisions. Conduct ongoing research to stay updated with advancements in generative AI, machine learning, and deep learning, integrating innovative solutions into products and services. Optimize existing generative AI models for enhanced performance, scalability, and efficiency. Lead the design and development of prompt engineering strategies to maximize GenAI model outputs and capabilities. Implement cutting-edge NLP techniques and prompt engineering methodologies for conversational AI, speech, and voice applications. Ensure data quality and accuracy in AI model training and deployment. Work with cloud-based platforms such as AWS, Azure, or GCP for deploying AI/ML applications and solutions. Develop clear and concise technical documentation, user guides, and presentations for diverse stakeholders. Contribute to establishing best practices and standards for generative AI development within the organization. Professional & Technical Skills Solid experience in developing and implementing generative AI models with strong knowledge of deep learning techniques (GPT, VAE, GANs). Proficiency in Python programming and experience with ML libraries/frameworks like TensorFlow, PyTorch, or Keras. Strong understanding of data structures, algorithms, and software engineering principles. Experience with cloud platforms such as AWS, Azure, or GCP. Familiarity with NLP tools and libraries like SpaCy, NLTK, or Hugging Face. Knowledge of data visualization tools such as Matplotlib, Seaborn, or Plotly. Experience with Agile or Scrum software development methodologies. Excellent problem-solving, critical thinking, and creative skills. Strong communication skills to convey complex AI concepts effectively to technical and non-technical audiences. Additional Information Minimum 3 years of experience as an AI/ML Engineer with focus on generative AI models. Degree in Computer Science, Artificial Intelligence, Machine Learning, or related field; Ph.D. highly desirable. Ability to work proactively both independently and collaboratively in a fast-paced environment. Experience handling diverse data formats through omni-channel approaches for speech and voice applications is a plus.

We are seeking a visionary AI Research and Innovation Lead to drive cutting-edge advancements in AI across multiple domains. This role involves developing production-ready AI solutions, applying GenAI models, and contributing to research in areas such as Computer Vision, NLP, Speech, and Multimodal AI. The ideal candidate is passionate about innovation, experienced in building scalable AI systems, and eager to make a real-world impact through applied research. Roles and Responsibilities: Develop applications and systems utilizing AI tools and Cloud AI services Design and implement production-grade pipelines for both cloud and on-premise deployments Apply GenAI models to solve real-world business challenges Innovate in key AI domains including Speech and Audio, Computer Vision, Natural Language Processing, and Multimodal AI Explore and contribute to emerging AI areas like Agentic AI and autonomous goal-driven intelligent systems Lead the development of novel algorithms and enhancement of existing models Collaborate with Responsible AI teams, delivery leads, and academic institutions Drive real-world applications such as digital assistants, healthcare agents, and enterprise automation solutions Lead research initiatives and publish findings in top-tier AI conferences Mentor and guide junior researchers and engineers to build future AI talent Educational Qualification: Ph.D. in Computer Science, Electrical Engineering, Electronics, Electronics and Communication, Data Science/AI, Mathematics, or Statistics Must be from reputed institutions such as IITs, IISc, IIITs, or ISI

???? We&aposre Hiring: Agentic AI Developer ???? Location: Pune (Hybrid) ???? Apply at: [HIDDEN TEXT] ???? Experience: 35 years (Hands-on) DATADOVE is on the lookout for an exceptional Agentic AI Developer to join our fast-growing team! If you&aposre passionate about building AI systems that make real impactespecially in marketing and operationsthis is your opportunity to shine. ???? What You&aposll Be Doing AI/ML Development & Deployment for marketing and operations use cases Deep Learning : Work with CNNs, RNNs, Transformers, and Attention Mechanisms Generative AI : Utilize OpenAI (GPT, DALLE, Whisper), Anthropic (Claude) Agentic AI : Build on platforms like AutoGen, CrewAI, AWS Bedrock Multimodal AI : Develop intelligent agents using text, voice, and more Python Expertise : Use NumPy, Pandas, Matplotlib, TensorFlow, PyTorch Traditional ML : Apply supervised/unsupervised learning, PCA, tuning Data Analytics : Run predictive analysis, clustering, A/B testing, KPI tracking MLOps & CI/CD : Handle model versioning, pipelines, monitoring Cloud Platforms : Leverage AWS (S3, Lambda, EC2, SageMaker, Bedrock) Dev Tools : Work with Cursor for streamlined code reviews and collaboration Collaboration : Communicate clearly with clients and teams to align delivery ???? What You Bring Degree: B.Tech / BE / M.Tech / MCA / M.Sc 3+ years experience in hands-on AI/ML development Strong skills in Python, Deep Learning, and Generative AI frameworks Familiarity with AWS cloud services & MLOps best practices Excellent communication and stakeholder management skills Bonus: Experience with Power BI / Tableau Domain Edge: Experience in marketing-focused AI solutions ???? Why Join DATADOVE At DATADOVE, we&aposre creating AI-powered solutions that help businesses scale faster, smarter, and more efficiently . Be part of a team where your work truly drives impact and where collaboration and innovation are core values. ???? Apply Now : Send your resume and portfolio to [HIDDEN TEXT] Show more Show less

As an Assistant Vice President Generative AI Systems Architect, you will leverage your 12+ years of experience to architect and design end-to-end systems for production-grade Generative AI applications. This includes creating systems for LLM-based chatbots, copilots, and content generation tools. Your responsibilities will involve defining system architecture for data ingestion, model training/fine-tuning, inferencing, and deployment pipelines. It is essential to establish architectural tenets such as modularity, scalability, reliability, observability, and maintainability. Collaboration plays a crucial role in this role, as you will work closely with data scientists, ML engineers, platform engineers, and product managers to ensure that the architecture aligns with both business objectives and AI goals. Your tasks will include choosing and integrating foundation models, evaluating solutions based on various architecture patterns, and designing secure and compliant architectures for enterprise settings, focusing on data governance, auditability, and access control. Additionally, you will lead system design reviews, define non-functional requirements (NFRs) like latency, availability, throughput, and cost, and collaborate with MLOps teams to establish CI/CD processes for model and system updates. Your contribution to creating reference architectures, design templates, and reusable components will be valuable in driving efficiency and consistency across projects. To excel in this role, it is important to stay updated with the latest advancements in GenAI, system design patterns, and AI platform tooling. Your role as an Assistant Vice President Generative AI Systems Architect will be dynamic and impactful, contributing significantly to the advancement and implementation of cutting-edge AI technologies.,

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 a Senior Machine Learning Engineer, you will have the exciting opportunity to be involved in designing, developing, and deploying cutting-edge models for end-to-end content generation. This includes working on AI-driven image/video generation, lip syncing, and multimodal AI systems. You will be at the forefront of the latest advancements in deep generative modeling, striving to create highly realistic and controllable AI-generated media. Your responsibilities will encompass researching and developing state-of-the-art generative models like Diffusion Models, 3D VAEs, and GANs for AI-powered media synthesis. You will focus on building and optimizing AI pipelines for high-fidelity image/video generation and lip syncing. Additionally, you will be tasked with developing advanced lip-syncing and multimodal generation models that integrate speech, video, and facial animation for hyper-realistic AI-driven content. Implementing and optimizing models for real-time content generation and interactive AI applications using efficient model architectures and acceleration techniques will also be part of your role. Collaboration with software engineers to deploy models efficiently on cloud-based architectures (AWS, GCP, or Azure) will be crucial. Staying updated with the latest trends in deep generative models, diffusion models, and transformer-based vision systems to enhance AI-generated content quality will be an essential aspect of the role. Furthermore, designing and conducting experiments to evaluate model performance, improve fidelity, realism, and computational efficiency, as well as refining model architectures will be expected. Active participation in code reviews, improving model efficiency, and documenting research findings to enhance team knowledge-sharing and product development will also be part of your responsibilities. To qualify for this role, you should hold a Bachelor's or Master's degree in Computer Science, Machine Learning, or a related field. You should have a minimum of 3 years of experience working with deep generative models, such as Diffusion Models, 3D VAEs, GANs, and autoregressive models. Proficiency in Python and deep learning frameworks like PyTorch is essential. Expertise in multi-modal AI, text-to-image, and image-to-video generation, as well as audio to lip sync, is required. A strong understanding of machine learning principles and statistical methods is necessary. It would be beneficial to have experience in real-time inference optimization, cloud deployment, and distributed training. Strong problem-solving abilities and a research-oriented mindset to stay updated with the latest AI advancements are qualities that would be valued. Familiarity with generative adversarial techniques, reinforcement learning for generative models, and large-scale AI model training will also be beneficial. Preferred qualifications include experience with transformers and vision-language models (e.g., CLIP, BLIP, GPT-4V), a background in text-to-video generation, lip-sync generation, and real-time synthetic media applications, as well as experience in cloud-based AI pipelines (AWS, Google Cloud, or Azure) and model compression techniques (quantization, pruning, distillation). Contributions to open-source projects or published research in AI-generated content, speech synthesis, or video synthesis would be advantageous.,

As a Senior Machine Learning Engineer, your primary role will involve designing, developing, and deploying advanced models for end-to-end content generation. This includes AI-driven image/video generation, lip syncing, and multimodal AI systems. Your focus will be on leveraging cutting-edge deep generative modeling techniques to produce highly realistic and controllable AI-generated content. You will be responsible for researching and developing state-of-the-art generative models, such as Diffusion Models, 3D VAEs, and GANs, to power AI-driven media synthesis. Additionally, you will work on building and optimizing AI pipelines for high-fidelity image/video generation and lip syncing using diffusion and autoencoder models. Your expertise will also be utilized in developing advanced lip-syncing and multimodal generation models that integrate speech, video, and facial animation for hyper-realistic AI-driven content. In addition to model development, you will implement and optimize models for real-time content generation and interactive AI applications. Collaboration with software engineers to efficiently deploy models on cloud-based architectures (AWS, GCP, or Azure) will be a key aspect of your role. Staying updated on the latest trends in deep generative models, diffusion models, and transformer-based vision systems will be essential to enhance the quality of AI-generated content. Your responsibilities will include designing and conducting experiments to evaluate model performance, improve fidelity, realism, and computational efficiency. Participation in code reviews, enhancing model efficiency, and documenting research findings for team knowledge-sharing will also be part of your duties. To qualify for this role, you should hold a Bachelor's or Master's degree in Computer Science, Machine Learning, or a related field, along with at least 3 years of experience working with deep generative models. Proficiency in Python and deep learning frameworks like PyTorch is required. Expertise in multi-modal AI, text-to-image, image-to-video generation, and audio to lip sync is essential. A strong understanding of machine learning principles, statistical methods, and problem-solving abilities are also necessary. Additionally, experience with transformers, vision-language models, cloud-based AI pipelines, and model compression techniques is advantageous. Contributions to open-source projects or published research in AI-generated content, speech synthesis, or video synthesis will be beneficial. This position offers a dynamic opportunity to work on cutting-edge AI technologies and collaborate with a team of experts in the field. If you are passionate about pushing the boundaries of AI-generated content and staying at the forefront of AI advancements, this role is ideal for you.,

We are seeking a highly skilled LLM Engineer with deep expertise in chatbot implementations and large language models (LLMs) . The ideal candidate should have hands-on experience with Retrieval-Augmented Generation (RAG) , instruction fine-tuning , parameter-efficient fine-tuning (PEFT) techniques such as LoRA or QLoRA , and proficiency in frameworks like LangChain , LlamaIndex , Haystack , Rasa , or their equivalents. The role requires experience in designing and implementing at least two chatbot projects end-to-end, coupled with a strong understanding of requirement analysis, architecture planning , and solution strategy formulation . Bonus points for experience with Vision-Language Models (VLMs) and multimodal AI applications integrating text, image, video, and audio data. Key Responsibilities Design, architect, and develop intelligent chatbot systems using state-of-the-art LLM techniques. Analyze business and functional requirements and translate them into scalable LLM solutions. Implement Retrieval-Augmented Generation (RAG) pipelines using relevant libraries and vector databases. Apply instruction fine-tuning and PEFT techniques like LoRA/QLoRA for domain-specific customization. Build LLM applications using frameworks such as LangChain , LlamaIndex , Haystack , or Rasa . Integrate chatbots with enterprise systems, APIs, and document stores. Work with vector databases (e.g., Pinecone, FAISS, Weaviate, ChromaDB) and embedding models. Collaborate cross-functionally with design, product, and engineering teams for integration and deployment. (Preferred) Develop multimodal systems that process combinations of text, audio, video, and images. Stay up to date with the latest research in conversational AI, LLMs, and multimodal AI. Document technical architecture, processes, and best practices. Required Qualifications Bachelor's or Masters in Computer Science, Artificial Intelligence, Data Science, or equivalent. 6 to 9 years of total experience in software/AI development with minimum 2+ chatbot projects delivered using LLMs. Proficiency in RAG , instruction tuning , and parameter-efficient fine-tuning (LoRA/QLoRA) techniques. Strong expertise in one or more frameworks: LangChain , LlamaIndex , Haystack , Rasa , etc. Solid programming skills in Python and familiarity with Transformers , PyTorch , or TensorFlow . Experience with vector databases , embedding models , and NLP pipelines . Ability to understand business needs and independently drive solution strategy and implementation. Excellent communication and stakeholder engagement skills. Preferred Qualifications Exposure to multimodal AI and Vision-Language Models (VLMs) such as Flamingo, GPT-4V, or Kosmos. Experience with MLOps tools and deploying LLMs into scalable production environments. Understanding of prompt engineering, few-shot learning, and performance optimization for LLMs. Familiarity with model evaluation metrics specific to conversational and generative tasks. Soft Skills Strong analytical and problem-solving mindset. Self-motivated, with the ability to take initiative and ownership. Effective communicator with the ability to translate complex technical concepts into business outcomes. Comfortable working in agile, fast-paced environments.

Job Description Greetings from Fujitsu Research Lab (https://www.fujitsu.com/global/about/research/) About us: At Fujitsu AI Lab, we are at the forefront of research, innovation, and product development in areas such as AI (artificial intelligence), Machine Learning (ML), and Data Science. Our technologies are integrated into Fujitsus products and customer systems across sectors like finance, telecommunications, manufacturing, healthcare, and social infrastructure. We are committed to shaping the future with cutting-edge AI research, driving advancements in fields such as Generative AI, Cognitive AI, Graph ML, ML models for complex temporal and multimodal data. Role Purpose: As an AI Researcher, you will lead groundbreaking research aligned with Fujitsu's AI strategy. Your work will directly influence product innovations and the development of novel AI technologies. Additionally, you will drive scientific exploration, publish in top-tier conferences and journals, and secure patents for innovative work. Roles and Responsibilities- Followings are Researchers duties: Technical Skills required- Advanced AI/ML Expertise : Deep understanding of fundamentals of theoretical machine learning, statistical theory of learning, AI related topics and concepts, and their practical implementation in various domains. Up to date with the latest in AI algorithms & neural architectures ( e.g. , attention, transformers, state-space models, etc.), and their application in discriminative and generative models, explainable AI, causal reasoning, knowledge representation, concept discovery & extraction, continual learning, etc. Prior experience in applying them to one or more of the following areas or related topics: natural language (LLMs), human cognition, computer vision, point cloud, graphs, multi-modal data analytics, time-series, sequence modelling, complex task completion, dynamic optimization etc . Proficient in AI/ML Programming : Advanced skills in coding, working with AI/ML libraries, and familiar with major AI platforms and tools. Strong publication track in top-tier conferences such as ICML, ICLR, NeurIPS, AAAI, IJCAI, AISTATS, SIGKDD, ACL, NAACL etc. For computer vision domain, publications in top CV conferences like CVPR, ICCV, ECCV is expected. Desirable: Well-informed with latest conceptual advancements in the deployable AI framework (such as AI agents, autonomous systems etc .). Core Research Leadership Identify and Frame Research Problems : Brainstorm with other researchers to scope new research projects in specified areas. Identifies critical research challenges and develop innovative solutions by differentiating your approaches from the current state of the art. Develop Advanced Technologies : Design new algorithms, neural architectures, and computing methodologies. Implement and validate through theoretical and experimental research. Conduct Rigorous Data Analysis : Collect and analyze data to draw inferences, support proposed solutions, and demonstrate their practical applications. Collaboration & Knowledge Sharing Share key findings with internal leadership, including Project Leaders, Research Managers, and Project Directors. Research Publication & IP : Draft and submit patents. Author research papers for submission to prestigious AI/ML/CV/NLP conferences and journals. Academic Partnerships : Engage with academic institutions and collaborators, expanding Fujitsus network and promoting cutting-edge AI research. Industry Impact and Application Engage with Applied Research Teams : Collaborate closely with applied researchers to transform core scientific discoveries into practical solutions. Abstract complex research problems from real-world challenges. Support Technology Transition : Facilitate the transfer of research outcomes to business units, demonstrating their value to external clients and driving real-world impact. Additional Expectations Scientific Leadership : Strong vision for research and the ability to lead scientific projects towards impactful breakthroughs. Communication : Exceptional communication, report writing, and presentation skills, with the ability to translate complex research into understandable and actionable insights. Adaptability and Growth Mindset : Willingness to learn new fields, explore uncharted territories in AI, and develop cross-disciplinary skill sets. Education & Research Experience : Ph.D. in AI, Machine Learning, Computer Science, or a related field with a research experience of 3-10 years (post PhD). Person with more experience will be considered for appropriate positions.

Job Overview : This is a Full-time role for a Generative AI Engineers for our client in Software Development, in Bangalore/Bengaluru, Karnataka. We are seeking a talented and experienced Generative AI Engineer to join our client team. The ideal candidate will have a strong background in artificial intelligence, machine learning, and programming with a focus on generative models. You will be responsible for designing, developing, and implementing cutting-edge generative AI solutions to solve complex problems and enhance our clients products and services. As part of a cross-functional engineer, you'll work closely with project managers, and DevOps professionals to enhance functionality, optimize workflows, and deliver high-quality Software. Success in this role is measured through key performance indicators (KPIs) such as System Performance, Code Quality, Team Effectiveness, Project Success. Role & responsibilities Design/develop multi-agent AI systems, architect RAG system/knowledge graphs Create proper engineering frameworks Build orchestration systems Implement generative AI techniques Collaborate on custom AI solutions Maintain scalable cloud AI Infrastructure Required Skills & Qualifications : Graduate/ Masters in Computer Science/AI related streams; model skills fine-tuning experience; multimodal AI knowledge; containerization/orchestration skills 3-5 years generative AI/LLM experience; expert Python skills; experience with LLM frameworks, multi-agent systems, vector databases; cloud proficiency (AWS, GCP, Azure) Compensation and Benefits: Base Salary: Competitive salary range based on experience and performance. Bonuses & Incentives: Performance-based bonuses. Health & Wellness: Comprehensive medical insurance. Career Growth: Ongoing training programs, professional development courses, mentorship opportunities, and career advancement prospects. Immediate joiner within 15 days 30 days notice period