41 Autoencoders Jobs - Page 2

Trident Consulting is seeking a "Machine Learning Engineer" for one of our clients in "India- Remote" Position: Machine Learning Engineer Job Location: India- Remote Job Type: Fulltime About the Role: We are seeking a skilled Machine Learning Engineer with expertise in PyTorch and a strong understanding of core machine learning principles to develop and deploy anomaly detection models on top of ELK (Elasticsearch, Logstash, Kibana). The ideal candidate will be responsible for building and integrating machine learning models to detect anomalies in log data using supervised or semi-supervised approaches Responsibilities: Train and evaluate models using PyTorch for anomaly detection in time-series or log data. Preprocess and transform log data ingested via Logstash and indexed in Elasticsearch for ML consumption. Design and run experiments to benchmark anomaly detection performance. Integrate trained models with the ELK Stack for real-time anomaly scoring and visualization in Kibana. Collaborate with DevOps/SRE teams to understand system behavior and define anomaly patterns. Document model assumptions, behavior, and performance metrics clearly and thoroughly. Required Qualifications: Proven experience with PyTorch for developing machine learning models. Strong grasp of model training fundamentals. Solid understanding of anomaly detection techniques in log or time-series data. Experience working with Elasticsearch, Logstash, and Kibana. Proficiency in Python and common data manipulation libraries (Pandas, NumPy, etc.). Familiarity with data pipeline design, feature engineering, and model deployment. Comfortable working in Linux environments and using version control (Git) Preferred Qualifications Prior experience integrating ML models with ELK. Familiarity with log data formats, common system logs (e.g., syslog, nginx, application logs). Experience with real-time inference or streaming data frameworks (e.g., Kafka, Flink). Knowledge of unsupervised anomaly detection techniques (e.g., autoencoders, clustering). Exposure to MLOps practices. About Trident Trident Consulting is a premier IT staffing firm providing high-impact workforce solutions to Fortune 500 and mid-market clients. Since 2005, we've specialized in sourcing elite technology and engineering talent for contract, direct hire, and managed services roles. Our expertise spans cloud, AI/ML, cybersecurity, and data analytics, supported by a 3M+ candidate database and a 78% fill ratio. With a highly engaged leadership team and a reputation for delivering hard-to-fill, niche talent, we help organizations build agile, high-performing teams that drive innovation and business success. Some of our recent awards include: Trailblazer Women Award 2025 by Consulate General of India in San Francisco Ranked as the #1 Women Owned Business Enterprise in the large category by IT-Serve. Received the Tech-Serve Excellence award. Consistently ranked in the Inc. 5000 list of fastest-growing private companies in America Recognized in the SF Business Times as one of the Largest Bay Area BIPOC/Minority-Owned Businesses in 2022 Show more Show less

Role –AIML Gen AI Engineer Location: Chennai/ Bangalore/ Hyderabad Experience: 5+ Years Job Description Collect and prepare data for training and evaluating multimodal foundation models. This may involve cleaning and processing text data or creating synthetic data. Develop and optimize large-scale language models like GANs (Generative Adversarial Networks) and VAEs (Variational Autoencoders) Work on tasks involving language modeling, text generation, understanding, and contextual comprehension. Regularly review and fine-tune Large Language models to ensure maximum accuracy and relevance for custom datasets. Build and deploy AI applications on cloud platforms – any hyperscaler Azure, GCP or AWS. Integrate AI models with our company's data to enhance and augment existing applications. Role & Responsibility Handle data preprocessing, augmentation, and generation of synthetic data. Design and develop backend services using Python or .NET to support OpenAI-powered solutions (or any other LLM solution) Develop and Maintaining AI Pipelines Work with custom datasets, utilizing techniques like chunking and embeddings, to train and fine-tune models. Integrate Azure cognitive services (or equivalent platform services) to extend functionality and improve AI solutions Collaborate with cross-functional teams to ensure smooth deployment and integration of AI solutions. Ensure the robustness, efficiency, and scalability of AI systems. Stay updated with the latest advancements in AI and machine learning technologies. Skills & Experience Strong foundation in machine learning, deep learning, and computer science. Expertise in generative AI models and techniques (e.g., GANs, VAEs, Transformers). Experience with natural language processing (NLP) and computer vision is a plus. Ability to work independently and as part of a team. Knowledge of advanced programming like Python, and especially AI-centric libraries like TensorFlow, PyTorch, and Keras. This includes the ability to implement and manipulate complex algorithms fundamental to developing generative AI models. Knowledge of Natural language processing (NLP) for text generation projects like text parsing, sentiment analysis, and the use of transformers like GPT (generative pre-trained transformer) models. Experience in Data management, including data pre-processing, augmentation, and generation of synthetic data. This involves cleaning, labeling, and augmenting data to train and improve AI models. Experience in developing and deploying AI models in production environments. Knowledge of cloud services (AWS, Azure, GCP) and understanding of containerization technologies like Docker and orchestration tools like Kubernetes for deploying , managing and scaling AI solutions Should be able to bring new ideas and innovative solutions to our clients Show more Show less

Role –Senior Gen AI Engineer Location - Kochi Mode of Interview - In Person Data - 14th June 2025 (Saturday) Job Description Collect and prepare data for training and evaluating multimodal foundation models. This may involve cleaning and processing text data or creating synthetic data. Develop and optimize large-scale language models like GANs (Generative Adversarial Networks) and VAEs (Variational Autoencoders) Work on tasks involving language modeling, text generation, understanding, and contextual comprehension. Regularly review and fine-tune Large Language models to ensure maximum accuracy and relevance for custom datasets. Build and deploy AI applications on cloud platforms – any hyperscaler Azure, GCP or AWS. Integrate AI models with our company's data to enhance and augment existing applications. Role & Responsibility Handle data preprocessing, augmentation, and generation of synthetic data. Design and develop backend services using Python or .NET to support OpenAI-powered solutions (or any other LLM solution) Develop and Maintaining AI Pipelines Work with custom datasets, utilizing techniques like chunking and embeddings, to train and fine-tune models. Integrate Azure cognitive services (or equivalent platform services) to extend functionality and improve AI solutions Collaborate with cross-functional teams to ensure smooth deployment and integration of AI solutions. Ensure the robustness, efficiency, and scalability of AI systems. Stay updated with the latest advancements in AI and machine learning technologies. Skills & Experience Strong foundation in machine learning, deep learning, and computer science. Expertise in generative AI models and techniques (e.g., GANs, VAEs, Transformers). Experience with natural language processing (NLP) and computer vision is a plus. Ability to work independently and as part of a team. Knowledge of advanced programming like Python, and especially AI-centric libraries like TensorFlow, PyTorch, and Keras. This includes the ability to implement and manipulate complex algorithms fundamental to developing generative AI models. Knowledge of Natural language processing (NLP) for text generation projects like text parsing, sentiment analysis, and the use of transformers like GPT (generative pre-trained transformer) models. Experience in Data management, including data pre-processing, augmentation, and generation of synthetic data. This involves cleaning, labeling, and augmenting data to train and improve AI models. Experience in developing and deploying AI models in production environments. Knowledge of cloud services (AWS, Azure, GCP) and understanding of containerization technologies like Docker and orchestration tools like Kubernetes for deploying , managing and scaling AI solutions Should be able to bring new ideas and innovative solutions to our clients Show more Show less

Job Description Collect and prepare data for training and evaluating multimodal foundation models. This may involve cleaning and processing text data or creating synthetic data. Develop and optimize large-scale language models like GANs (Generative Adversarial Networks) and VAEs (Variational Autoencoders) Work on tasks involving language modeling, text generation, understanding, and contextual comprehension. Regularly review and fine-tune Large Language models to ensure maximum accuracy and relevance for custom datasets. Build and deploy AI applications on cloud platforms – any hyperscaler Azure, GCP or AWS. Integrate AI models with our company's data to enhance and augment existing applications. Role & Responsibility Handle data preprocessing, augmentation, and generation of synthetic data. Design and develop backend services using Python or .NET to support OpenAI-powered solutions (or any other LLM solution) Develop and Maintaining AI Pipelines Work with custom datasets, utilizing techniques like chunking and embeddings, to train and fine-tune models. Integrate Azure cognitive services (or equivalent platform services) to extend functionality and improve AI solutions Collaborate with cross-functional teams to ensure smooth deployment and integration of AI solutions. Ensure the robustness, efficiency, and scalability of AI systems. Stay updated with the latest advancements in AI and machine learning technologies. Skills & Experience Strong foundation in machine learning, deep learning, and computer science. Expertise in generative AI models and techniques (e.g., GANs, VAEs, Transformers). Experience with natural language processing (NLP) and computer vision is a plus. Ability to work independently and as part of a team. Knowledge of advanced programming like Python, and especially AI-centric libraries like TensorFlow, PyTorch, and Keras. This includes the ability to implement and manipulate complex algorithms fundamental to developing generative AI models. Knowledge of Natural language processing (NLP) for text generation projects like text parsing, sentiment analysis, and the use of transformers like GPT (generative pre-trained transformer) models. Experience in Data management, including data pre-processing, augmentation, and generation of synthetic data. This involves cleaning, labeling, and augmenting data to train and improve AI models. Experience in developing and deploying AI models in production environments. Knowledge of cloud services (AWS, Azure, GCP) and understanding of containerization technologies like Docker and orchestration tools like Kubernetes for deploying , managing and scaling AI solutions Should be able to bring new ideas and innovative solutions to our clients Show more Show less

When you join Verizon You want more out of a career. A place to share your ideas freely even if theyre daring or different. Where the true you can learn, grow, and thrive. At Verizon, we power and empower how people live, work and play by connecting them to what brings them joy. We do what we love driving innovation, creativity, and impact in the world. Our V Team is a community of people who anticipate, lead, and believe that listening is where learning begins. In crisis and in celebration, we come together lifting our communities and building trust in how we show up, everywhere & always. Want in? Join the #VTeamLife. What You'll Be Doing Lead development of advanced machine learning and statistical models Design scalable data pipelines using PySpark Perform data transformation and exploratory analysis using Pandas, Numpy and SQL Build, train and fine tune machine learning and deep learning models using TensorFlow and PyTorch Mentor junior engineers and lead code reviews, best practices and documentation. Designing and implementing big data, streaming AI/ML training and prediction pipelines. Translate complex business problems into data driven solutions. Promote best practices in data science, and model governance. Stay ahead with evolving technologies and guide strategic data initiatives. What we're looking for You'll Need To Have Bachelor's degree or four or more years of work experience. Experience in Python, PySpark and SQL. Strong proficiency in Pandas, Numpy, Excel, Plotly, Matplotlib, Seaborn, ETL, AWS and Sagemaker Experience in Supervised learning models: Regression, Classification and Unsupervised learning models: Anomaly detection, clustering. Extensive experience with AWS analytics services, including Redshift, Glue, Athena, Lambda, and Kinesis. Knowledge in Deep Learning Autoencoders, CNN. RNN, LSTM, hybrid models Experience in Model evaluation, cross validation, hyper parameters tuning Familiarity with data visualization tools and techniques. Even better if you have one or more of the following: Experience with machine learning and statistical analysis. Experience in Hypothesis testing. Excellent communication skills with the ability to translate complex technical concepts to non-technical stakeholders. If our company and this role sound like a fit for you, we encourage you to apply even if you don't meet every "even better" qualification listed above. #TPDRNONCDIO Where youll be working In this hybrid role, you'll have a defined work location that includes work from home and assigned office days set by your manager. Scheduled Weekly Hours 40 Equal Employment Opportunity Verizon is an equal opportunity employer. We evaluate qualified applicants without regard to race, gender, disability or any other legally protected characteristics. Locations Chennai, India Bangalore, India Show more Show less

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. 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. Show more Show less

When you join Verizon You want more out of a career. A place to share your ideas freely — even if they’re daring or different. Where the true you can learn, grow, and thrive. At Verizon, we power and empower how people live, work and play by connecting them to what brings them joy. We do what we love — driving innovation, creativity, and impact in the world. Our V Team is a community of people who anticipate, lead, and believe that listening is where learning begins. In crisis and in celebration, we come together — lifting our communities and building trust in how we show up, everywhere & always. Want in? Join the #VTeamLife. What You'll Be Doing… Lead development of advanced machine learning and statistical models Design scalable data pipelines using PySpark Perform data transformation and exploratory analysis using Pandas, Numpy and SQL Build, train and fine tune machine learning and deep learning models using TensorFlow and PyTorch Mentor junior engineers and lead code reviews, best practices and documentation. Designing and implementing big data, streaming AI/ML training and prediction pipelines. Translate complex business problems into data driven solutions. Promote best practices in data science, and model governance . Stay ahead with evolving technologies and guide strategic data initiatives. What We're Looking For… You'll need to have: Bachelor's degree or four or more years of work experience. Experience in Python, PySpark and SQL. Strong proficiency in Pandas, Numpy, Excel, Plotly, Matplotlib, Seaborn, ETL, AWS and Sagemaker Experience in Supervised learning models: Regression, Classification and Unsupervised learning models: Anomaly detection, clustering. Extensive experience with AWS analytics services, including Redshift, Glue, Athena, Lambda, and Kinesis. Knowledge in Deep Learning Autoencoders, CNN. RNN, LSTM, hybrid models Experience in Model evaluation, cross validation, hyper parameters tuning Familiarity with data visualization tools and techniques. Even better if you have one or more of the following: Experience with machine learning and statistical analysis. Experience in Hypothesis testing. Excellent communication skills with the ability to translate complex technical concepts to non-technical stakeholders. If our company and this role sound like a fit for you, we encourage you to apply even if you don't meet every "even better" qualification listed above. #TPDRNONCDIO Where you’ll be working In this hybrid role, you'll have a defined work location that includes work from home and assigned office days set by your manager. Scheduled Weekly Hours 40 Equal Employment Opportunity Verizon is an equal opportunity employer. We evaluate qualified applicants without regard to race, gender, disability or any other legally protected characteristics. Show more Show less

About Client- My client is a market leading company with over 30 years of experience in the industry. As one of the world’s leading professional services firms, with $19.7B, with 333,640 associates worldwide, helping their clients modernize technology, reimagine processes, and transform experiences, enabling them to remain competitive in our fast-paced world. Their Specialties in Intelligent Process Automation, Digital Engineering, Industry & Platform Solutions, Internet of Things, Artificial Intelligence, Cloud, Data, Healthcare, Banking, Finance, Fintech, Manufacturing, Retail, Technology, and Salesforce Job Details:- Position: AI/ML Developer Experience Required: 7 to 10 Years Notice: immediate to 15 Days Salary: Open Work Location: Hyderabad Mode Of Work: Hybrid Type of Hiring: Contract Project Tenure: Long-term project with no tenure limit Key Focus Areas:- Image Analytics & Computer Vision (CV) Machine Learning & Deep Learning Predictive Analytics & Optimization Generative AI (GenAI) & NLP (as secondary skills) Primary Responsibilities: Lead and contribute to projects centered around image analytics, computer vision , and visual data processing . Develop and deploy CV models for tasks such as object detection, image classification, pattern recognition, and anomaly detection. Apply deep learning frameworks (e.g., TensorFlow, Keras) to solve complex visual data challenges. Integrate multi-sensor data fusion and multivariate analysis for industrial applications. Collaborate with cross-functional teams to implement predictive maintenance , fault detection , and process monitoring solutions using visual and sensor data. Mandatory Skills: Strong hands-on experience in Computer Vision and Image Analytics . Proficiency in Python and familiarity with AI/ML libraries such as OpenCV, TensorFlow, Keras, scikit-learn, and Matplotlib. Solid understanding of machine learning techniques : classification, regression, clustering, anomaly detection, etc. Experience with deep learning architectures (CNNs, autoencoders, etc.) for image-based applications. Familiarity with Generative AI and LLMs is a plus. Desirable Skills: Knowledge of optimization techniques and simulation modeling . Domain experience in Oil & Gas, Desalination, Motors & Pumps, or Industrial Systems . Show more Show less

Role –Senior Gen AI Engineer Location - Chennai - CKC Mode of Interview - In Person Data - 7th June 2025 (Saturday) Job Description Collect and prepare data for training and evaluating multimodal foundation models. This may involve cleaning and processing text data or creating synthetic data. Develop and optimize large-scale language models like GANs (Generative Adversarial Networks) and VAEs (Variational Autoencoders) Work on tasks involving language modeling, text generation, understanding, and contextual comprehension. Regularly review and fine-tune Large Language models to ensure maximum accuracy and relevance for custom datasets. Build and deploy AI applications on cloud platforms – any hyperscaler Azure, GCP or AWS. Integrate AI models with our company's data to enhance and augment existing applications. Role & Responsibility Handle data preprocessing, augmentation, and generation of synthetic data. Design and develop backend services using Python or .NET to support OpenAI-powered solutions (or any other LLM solution) Develop and Maintaining AI Pipelines Work with custom datasets, utilizing techniques like chunking and embeddings, to train and fine-tune models. Integrate Azure cognitive services (or equivalent platform services) to extend functionality and improve AI solutions Collaborate with cross-functional teams to ensure smooth deployment and integration of AI solutions. Ensure the robustness, efficiency, and scalability of AI systems. Stay updated with the latest advancements in AI and machine learning technologies. Skills & Experience Strong foundation in machine learning, deep learning, and computer science. Expertise in generative AI models and techniques (e.g., GANs, VAEs, Transformers). Experience with natural language processing (NLP) and computer vision is a plus. Ability to work independently and as part of a team. Knowledge of advanced programming like Python, and especially AI-centric libraries like TensorFlow, PyTorch, and Keras. This includes the ability to implement and manipulate complex algorithms fundamental to developing generative AI models. Knowledge of Natural language processing (NLP) for text generation projects like text parsing, sentiment analysis, and the use of transformers like GPT (generative pre-trained transformer) models. Experience in Data management, including data pre-processing, augmentation, and generation of synthetic data. This involves cleaning, labeling, and augmenting data to train and improve AI models. Experience in developing and deploying AI models in production environments. Knowledge of cloud services (AWS, Azure, GCP) and understanding of containerization technologies like Docker and orchestration tools like Kubernetes for deploying , managing and scaling AI solutions Should be able to bring new ideas and innovative solutions to our clients Show more Show less

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

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. 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.

Job Title: Machine Learning Engineer Location: Hybrid – Hyderabad About Acentra Acentra delivers a broad range of health information technology enterprise solutions and customizable products to a diverse base of state and federal agencies. We align, build, and manage innovative, high-quality, cost-effective solutions that help customers achieve their mission, enhance business performance, reduce costs, and improve the health of over 50 million Americans. With locations throughout the U.S. and in India, Acentra employs a world-class team of technologists, healthcare subject-matter experts, and program managers, all of whom have experience with large-scale mission-critical information technology implementations. Innovation and commitment to our mission are core to our DNA. And through our shared values, we foster an environment of inclusion, empowerment, accountability, and fun! About The Job This position is for a Machine Learning expert who is responsible for successful delivery of Acentra Health's technology initiatives. Candidates for this role will be working at the intersection of data science and software engineering, building, deploying, and optimizing machine learning (ML) models and pipelines, with a strong emphasis on large language models (LLMs), generative AI (GenAI), and natural language processing (NLP). Will help improve patient outcomes and drive innovation and efficiency in healthcare. What You Will Do Design, develop, and implement ML models and algorithms to solve healthcare-related problems, such as disease prediction, patient risk stratification, clinical decision support, and personalized medicine Explore and implement state-of-the-art ML techniques, including supervised and unsupervised learning, deep learning, and NLP Develop and implement data cleaning, feature engineering, and data augmentation techniques to improve model performance and generalizability Evaluate and validate ML models using appropriate metrics and methodologies, ensuring robustness, accuracy, and reliability Interpret and communicate model results to domain experts and stakeholders, providing actionable insights and recommendations Optimize models for performance, scalability, and real-time predictions, considering computational constraints and regulatory requirements Design and develop innovative solutions using LLMs and foundation models to solve business problems and create operational efficiencies Lead the AI and ML development process and oversee CICD pipelines Document code, methodologies, and experimental results to ensure reproducibility and knowledge sharing Train junior level engineers and serve as a mentor for learning new technologies, best practices, and company culture Collaborate with cross-functional teams, including data scientists, clinicians, researchers, and product managers, to translate business requirements into technical solutions Stay abreast of the latest advancements in ML, AI, LLMs, healthcare informatics, and regulatory landscape to inform decision-making and drive innovation Who You Are Education : Bachelor’s degree in computer science, data science, or a related field. 2+ Proven experience and success as an ML Engineer. Technical Skills 2+ years of experience as a ML Engineer 2+ years of experience with object-oriented scripting languages, such as Python or R 2+ years of experience with developing ML models and NLP techniques 2+ years of experience with data preprocessing and feature engineering 2+ years of experience with LLMs and GenAI 1+ years of cloud computing experience using Azure and/or Amazon Web Services (AWS) for testing, deploying, and managing ML and AI systems Proven experience with successfully deploying solutions using LLMs and foundation models Proven experience with GenAI techniques such as variational autoencoders (VAEs), generative adversarial networks (GANs) and transformer-based models Proven experience successfully developing and deploying ML algorithms, statistical analysis, and data mining techniques Proven experience mentoring ML Engineers and colleagues Demonstrable experience developing innovative ideas and solutions Good to have familiarity with healthcare data standards (e.g., HL7, FHIR), electronic health records (EHR), medical imaging formats (DICOM), and relevant healthcare regulations (e.g., HIPAA) is highly desirable Proficiency in using data manipulation and analysis tools, such as SQL, Pandas, and NumPy The ideal candidate will possess strong skills in UI/UX design and API development, enabling them to contribute across the full stack of our technology solutions. Excellent communication and collaboration skills, with the ability to work effectively in multidisciplinary teams Soft Skills Attention to detail. Good communication. Dedicated self-starter with excellent people skills. Quick learner and a go-getter. Effective time and project management. Analytical thinker and a great team player. Strong leadership , interpersonal & problem-solving skills