130 Autoencoders Jobs - Page 6

Job Description Data Scientist and Machine Learning Exp - 4-12 years Location - Hyderabad and Chennai We are seeking a talented and experienced AI & Generative AI Developer to join our team and help us create groundbreaking generative AI models and applications. In this role, you will work closely with our team of data scientists, machine learning engineers, and researchers to develop, implement, and optimize generative LLM and foundational models for various verticals, such as Banking, Retail, Comms, and more. The ideal candidate will have a strong background in artificial intelligence, machine learning, NLP, and deep learning, with a passion for innovation and a drive to push the boundaries of generative AI technologies. Responsibilities Design, develop, and implement cutting-edge generative AI models using state-of-the-art techniques such as General Adversarial Networks (GANs), variational autoencoders (VAEs), and reinforcement learning. Collaborate with cross-functional teams to define project goals, research requirements, and develop innovative solutions. Optimize model performance through experimentation, hyperparameter tuning, and advanced optimization techniques. Stay up-to-date on the latest advancements in generative AI, deep learning, and related fields, and incorporate new techniques and methods into the team's workflow. Develop and maintain clear and concise documentation of generative AI models, processes, and results. Communicate complex concepts and results to both technical and non-technical stakeholders. Provide support and guidance to other team members, and contribute to a positive, collaborative working environment. Lead the development and deployment of large language models (LLMs) and agentic frameworks such as Autogen or CrewAI. Oversee cloud deployments, containerization, and orchestration of AI models to ensure scalability and reliability. Requirements Bachelor's or Master's degree in Computer Science, Artificial Intelligence, Machine Learning, or a related field. Strong background in artificial intelligence, machine learning, NLP, and deep learning, with a focus on generative models. Technical knowledge and hands-on experience with Azure OpenAI, Google Vertex Gen AI, and AWS LLM foundational models, BERT, Transformers, PaLM, Bard, etc. Proficiency in programming languages such as Python, and experience (3 - 6 years) with various Python packages (like TensorFlow, PyTorch, or Keras, etc.). Demonstrated experience with generative AI techniques, including GANs, VAEs, and reinforcement learning. Strong analytical and problem-solving skills, with the ability to quickly understand and adapt to new concepts and technologies. Excellent communication and collaboration skills, with the ability to work effectively both independently and as part of a team. Familiarity with cloud computing platforms such as AWS, Google Cloud, or Azure. Experience with leading LLMs and agentic frameworks such as Autogen or CrewAI. Experience with cloud deployments, containerization, and orchestration of AI models. Show more Show less

Thiruvananthapuram Office, AEDGE AICC India Pvt Ltd About the Company Armada is an edge computing startup that provides computing infrastructure to remote areas where connectivity and cloud infrastructure is limited, as well as areas where data needs to be processed locally for real-time analytics and AI at the edge. We’re looking to bring on the most brilliant minds to help further our mission of bridging the digital divide with advanced technology infrastructure that can be rapidly deployed anywhere . About the role At Armada, we are unlocking the limitless potential of AI to transform operations and improve lives in some of the most remote locations on Earth. From the expansive mines of Australia to the oil fields of Northern Canada, and the coffee plantations of Colombia, Armada offers a unique opportunity to tackle exciting AI and ML challenges on a global scale. We are actively seeking passionate AI Engineers with hands-on expertise across a range of domains, including real-time computer vision, statistical machine learning, natural language processing, transformers, control and navigation, reinforcement learning, and large-scale distributed AI systems. Ideal candidates will possess strong skills in machine learning (ML), deep learning (DL), and real-time computer vision techniques. You will be responsible for building ML/DL models tailored to specific challenges, preparing datasets for testing, evaluating model performance, and deploying solutions in production environments. Familiarity with containerization, microservices architecture, and the ability to independently deploy ML models into production is essential. If you are a self-driven individual with a passion for cutting-edge AI, we want to hear from you. Armada offers an unparalleled opportunity to confront some of the most thrilling AI and ML challenges in the world. Join our dynamic AI Engineering team as we deliver disruptive edge-compute systems capable of autonomous learning, prediction, and adaptation using vast, real-time datasets. We are pioneers in developing high-performance computing solutions for self-driving cars, camera networks, robotics, drones, conversational agents, and real-time monitoring and diagnostic systems. Our vision is to empower AI systems to seamlessly and securely interact with the complexities and uncertainties of the real world, and our mission is to bridge the digital divide in the process. Location. This role is office-based at our Trivandrum, Kerala office. What You'll Do (Key Responsibilities) Translating business requirements into requirements for AI/ML models. Preparing data to train and evaluate AI/ML/DL models. Building AI/ML/DL models by applying state-of-the-art algorithms, especially transformers. In some cases, leverage existing algorithms from academic or industrial research. Testing, evaluating the AI/ML/DL models, benchmarking their quality, and publishing the models, data sets, and evaluations. Deploying the models in production by containerizing the models. Working with customers and internal employees to refine the quality of the models. Establishing continuous learning pipelines for models with online learning or transfer learning. Building and deploying containerized applications on the cloud or on-premise environments Required Qualifications BS or MS degree in computer science, computational. science/engineering, or related technical field (or equivalent experience). 5+ years of work-related experience in software development with good Python, Java, and/or C/C++ programming skills. Familiarity with containers, numeric libraries, modular software design. Hands-on expertise with traditional statistical machine learning techniques as well as deep-learning and natural language processing modeling. Expertise in supervised, unsupervised, and transfer learning techniques. Hands-on expertise in machine learning techniques and algorithms with a strong background in state-of-the-art DNN architectures (Transformers, CNN, R-CNN, RNN, BERT, GAN, autoencoders, etc.) and experience in developing or using major deep learning frameworks (e.g., PyTorch, Tensorflow, etc). Experience with solving and using machine learning for real-world problems. Preferred Experience and Skills Demonstrable experience in building, programming, and integrating software and hardware for autonomous or robotic systems. Proven experience producing computationally efficient software to meet real-time requirements. Background with container platforms such as Kubernetes. Strong analytical skills with a bias for action. Strong time-management and organization skills to thrive in a fast-paced, dynamic environment. Solid written and oral communications skills. Good teamwork and interpersonal skills. Compensation & Benefits For India-based candidates: We offer a competitive base salary along with equity options, providing an opportunity to share in the success and growth of Armada. #LI-JV1 #LI-Onsite You're a Great Fit if You're A go-getter with a growth mindset. You're intellectually curious, have strong business acumen, and actively seek opportunities to build relevant skills and knowledge A detail-oriented problem-solver. You can independently gather information, solve problems efficiently, and deliver results with a "get-it-done" attitude Thrive in a fast-paced environment. You're energized by an entrepreneurial spirit, capable of working quickly, and excited to contribute to a growing company A collaborative team player. You focus on business success and are motivated by team accomplishment vs personal agenda Highly organized and results-driven. Strong prioritization skills and a dedicated work ethic are essential for you Equal Opportunity Statement At Armada, we are committed to fostering a work environment where everyone is given equal opportunities to thrive. As an equal opportunity employer, we strictly prohibit discrimination or harassment based on race, color, gender, religion, sexual orientation, national origin, disability, genetic information, pregnancy, or any other characteristic protected by law. This policy applies to all employment decisions, including hiring, promotions, and compensation. Our hiring is guided by qualifications, merit, and the business needs at the time.

Role Description Who we are: At UST, we help the world’s best organizations grow and succeed through transformation. Bringing together the right talent, tools, and ideas, we work with our client to co-create lasting change. Together, with over 26,000 employees in 25 countries, we build for boundless impact—touching billions of lives in the process. Visit us at . You Are We are looking for experienced candidate with around one or two year experience in an artificial intelligence engineer to join the revolution, using deep learning, neuro-linguistic programming (NLP), chatbots and generative models to help us improve various business outcomes and drive innovation. The engineer will join a multidisciplinary team helping to shape our AI strategy and showcasing the potential for AI through early-stage solutions. Therefore, it’s essential that you are skilled at problem solving, solution design, and high-quality coding. The Opportunity Engage in research activities to explore the latest advancements in generative AI techniques and algorithms. Stay updated with current literature and emerging trends in the field. Develop AI/ML applications according to requirements. Select appropriate datasets and data representation methods. Run machine learning tests and experiments. Perform statistical analysis and fine-tuning using test results. Train and retrain systems when necessary. Extend existing AI/ML libraries and frameworks What You Need Bachelor’s in computer science or related field. 1 or 2 year experience in n applying AI/ML preferably using TensorFlow or PyTorch Framework Understanding of data structures, data modeling and software architecture Strong understanding of machine learning fundamentals including deep learning, neural networks, and generative models. Ability to write robust code in Python. Familiarity with machine learning frameworks (Keras, deep learning, TensorFlow, PyTorch, NLP Generative Adversarial Networks (GANs), Variational Autoencoders (VAEs), or Transformer-based models.) Strong programming skills in at least one of the following: Python, C++ will be added advantage. Outstanding analytical and problem-solving skills Experience with continuous integration practices ,ML model validation metrics and developing tools in windows environment will be an added advantage. What We Believe We’re proud to embrace the same values that have shaped UST since the beginning. Since day one, we’ve been building enduring relationships and a culture of integrity. And today, it's those same values that are inspiring us to encourage innovation from everyone, to champion diversity and inclusion and to place people at the center of everything we do. Humility We will listen, learn, be empathetic and help selflessly in our interactions with everyone. Humanity Through business, we will better the lives of those less fortunate than ourselves. Integrity We honor our commitments and act with responsibility in all our relationships Equal Employment Opportunity Statement UST is an Equal Opportunity Employer. We believe that no one should be discriminated against because of their differences, such as age, disability, ethnicity, gender, gender identity and expression, religion or sexual orientation. All employment decisions shall be made without regard to age, race, creed, color, religion, sex, national origin, ancestry, disability status, veteran status, sexual orientation, gender identity or expression, genetic information, marital status, citizenship status or any other basis as protected by federal, state, or local law. UST reserves the right to periodically redefine your roles and responsibilities based on the requirements of the organization and/or your performance. To support and promote the values of UST. Comply with all Company policies and procedures Skills Nlp,Artificial Intelligence,Machine Learning,Python Show more Show less

About the job Birlasoft, a powerhouse where domain expertise, enterprise solutions, and digital technologies converge to redefine business outcomes. We take pride in our consultative and design thinking approach, driving societal progress by enabling our customers to run businesses with unmatched efficiency and innovation. As part of the multibillion-dollar CK Birla Group, Birlasoft, boasting a team of 12,500+ professionals, is committed to carrying forward the Group's illustrious 162-year legacy. At our core, we prioritize Diversity, Equity, and Inclusion (DEI) initiatives, along with Corporate Sustainable Responsibility (CSR) activities, ensuring our commitment to building not just businesses but inclusive and sustainable communities. Join us in shaping a future where technology aligns seamlessly with purpose. Gen AI LLM Data science· Must have 6+ years of experience working in Data science, Machine learning and especially NLP technologies.· Exposure to various LLM technologies and solid understanding of Transformer Encoder Networks.· Able to apply deep learning and generative modeling techniques to develop LLM solutions in the field of Artificial Intelligence.· Utilize your extensive knowledge and expertise in machine learning (ML) with a focus on generative models, including but not limited to generative adversarial networks (GANs), variational autoencoders (VAEs), and transformer-based architectures.· Solid understanding of Model development, model serving, training/re-training techniques in a data sparse environment.· Very good understanding of Prompt engineering techniques in developing Instruction based LLMs.· Must be able to design, and implement state-of-the-art generative models for natural language processing (NLP) tasks such as text generation, text completion, language translation, and document summarization.· Work with SAs and collaborate with cross-functional teams to identify business requirements and deliver solutions that meet the customer needs.· Passionate to learn and stay updated with the latest advancements in generative AI and LLM.· Nice to have -contributions to the research community through publications, presentations, and participation in relevant conferences or workshops.· Evaluate and preprocess large-scale datasets, ensuring data quality and integrity, and develop data pipelines for training and evaluation of generative models.· Ability to articulate to business stakeholders on the hallucination effects and various model behavioral analysis techniques followed.· Exposure to developing Guardrails for LLMs both with open source and cloud native models. · Collaborate with software engineers to deploy and optimize generative models in production environments, considering factors such as scalability, efficiency, and real-time performance.· Nice to have- provide guidance to junior data scientists, sharing expertise and knowledge in generative AI and LLM, and contribute to the overall growth and success of the data science team.

We are looking for a highly skilled and results-driven Experienced Data Scientist to be at the forefront of developing and implementing Generative AI solutions that address critical business challenges and unlock new opportunities. This individual will leverage their deep expertise in data science, machine learning, and specifically Generative AI techniques to drive impactful projects from ideation to deployment. They will develop AI & ML solutions to tackle complex business challenges and facilitate data-driven decision-making through hands-on work with large datasets and strong collaboration with cross-functional teams to deliver significant results.Responsibilities:Data Handling & Preparation: Work with diverse and large-scale datasets. Perform data cleaning, preprocessing, feature engineering, and create synthetic datasets as needed for training and evaluating Generative AI models. Ensure data quality and integrity throughout the model development lifecycle.Model Optimization & Deployment: Optimize Generative AI models for performance, scalability, efficiency, and responsible AI considerations (bias detection and mitigation, hallucination reduction). Collaborate with Machine Learning Engineers and DevOps teams to deploy models into production environments and establish monitoring frameworks.Prompt Engineering & Fine-tuning: Develop effective prompts and fine-tuning strategies for Large Language Models to achieve desired outputs and adapt models to specific domains and tasks.Generative AI Model Development & Implementation: Design, develop, train, fine-tune, and deploy various Generative AI models, including but not limited to Large Language Models (LLMs), diffusion models, Generative Adversarial Networks (GANs), and Variational Autoencoders (VAEs), for applications such as:Text generation (content creation, summarization, chatbots).Image and video synthesis.Code generation and assistance.Synthetic data generation and augmentation.Research & Innovation: Stay current with the latest research and advancements in the field of Generative AI, exploring new architectures, methodologies, and tools. Proactively identify and evaluate opportunities to apply cutting-edge Generative AI techniques to solve business problems.Experimentation & Evaluation: Design and execute rigorous experiments to evaluate the performance of Generative AI models using relevant metrics (e.g., BLEU, ROUGE, FID, perplexity). Analyze experimental results, identify areas for improvement, and iterate on model development based on findings.Collaboration & Communication: Work closely with product managers, software engineers, researchers, and business stakeholders to understand requirements, communicate technical findings, and translate complex AI concepts to non-technical audiences.Documentation & Knowledge Sharing: Maintain comprehensive documentation of all development processes, models, and experimental results. Share knowledge and best practices with the broader data science and engineering teams.Ethical AI Practices: Adhere to ethical AI principles and guidelines in the development and deployment of Generative AI models, with a focus on fairness, transparency, and accountability.