Company DescriptionWelcome to Shabd. We are developing an AI-powered Voice Engine with real-time Speech and Text translations for Indian Languages, enabling seamless communication within India and the world. Our mission is to bridge the communication gap by providing advanced speech technologies that cater to the diverse linguistic landscape of India, making digital interactions more inclusive and accessible. Shabd is incubated at IIT Madras Research Park and collaborates closely with the IIT Madras Speech Team. Role DescriptionThis is a full-time on-site role for a Machine Learning Engineer at Shabd in Chennai. The Machine Learning Engineer will be responsible for developing and implementing machine learning algorithms to enhance the AI-powered Voice Engine, working closely with the speech technologies team to improve speech recognition and translation capabilities on various devices and platforms. Qualifications<ul><li>Pattern Recognition, Neural Networks, and Algorithms expertise</li><li>Strong background in Computer Science and Statistics</li><li>Experience in developing and implementing machine learning algorithms</li><li>Proficiency in Python, PyTorch, and other machine learning tools</li><li>Familiarity with natural language processing (NLP) and speech recognition technologies</li><li>Ability to work collaboratively in a team environment</li><li>Bachelor's or Master's or Ph.D. in Computer Science, Machine Learning, or related field</li></ul>

Are you driven to innovate with cutting-edge machine learning algorithms, shaping scalable and robust data solutions? Do you thrive on pushing the boundaries of technology, especially in the dynamic realms of ML & AI? Explore our job description and connect with us if you're ready to join the forefront of AI innovation.Responsibilities:Design and Develop Innovative Machine Learning Solutions:Create, iterate, and implement machine learning models to tackle complex business challenges and facilitate data-driven decision-making.Embrace a problem-solving mindset to explore and leverage cutting-edge technologies in Machine Learning and Artificial Intelligence, driving innovation in data science projects. Ensure Timely Delivery and Continuous Improvement:Implement and deliver modules with a focus on functionality and quality, while continuously striving for optimization and improvement.Take ownership of project outcomes, remaining adaptable and ready to iterate or pivot when necessary to meet evolving business needs. Deep Dive into Data and Cultivate Business Acumen:Develop a deep understanding of available data assets and cultivate business acumen to effectively translate data insights into actionable recommendations for stakeholders.Collaborate closely with cross-functional teams to understand data requirements, extract meaningful insights, and drive strategic decision-making. Stay Ahead of Industry Trends and Best Practices:Keep abreast of industry trends, emerging technologies, and advancements in machine learning to ensure the application of state-of-the-art methodologies.Rapidly comprehend and implement research papers related to AI, staying informed of the latest advancements in NLP technologies and methodologies. Produce Proof of Concepts and Minimal Viable Products:Generate proof of concepts within specified timelines to demonstrate minimal viable products or features, fostering a culture of innovation and experimentation.Standardize methods and algorithms used across the organization, addressing data development challenges and driving standardization efforts. Promote a Positive Work Environment and Collaboration:Foster a positive work environment by actively engaging with colleagues and managers, enhancing the quality of work through collaboration and knowledge sharing.Embrace a data-centric mindset, utilizing advanced statistical and analytic techniques to create end-to-end data science pipelines. Requirements:<ul><li>Proficiency in Python and relevant libraries such as TensorFlow, Keras, PyTorch, Scikit-learn, etc.</li><li>Strong understanding of statistical concepts, data analysis techniques, and machine learning algorithms.</li><li>Knowledge of NLP techniques, toolkits, and ML frameworks.</li><li>Experience in delivering ML systems, model deployment, and model interpretability in real-world applications.</li><li>Familiarity with Big Data concepts and SQL querying.</li><li>Proficiency in supervised, unsupervised, and deep learning methodologies.</li></ul>

We are seeking a skilled and motivated Machine Learning Engineer to contribute to our cutting-edge AI projects. In this role, you will work closely with data scientists, software engineers, and researchers to develop, deploy, and optimize machine learning models that drive our core products and services. Key Responsibilities:<ul><li>Design, implement, and refine machine learning algorithms and models for a variety of applications, including natural language processing, computer vision, and recommendation systems.</li><li>Collaborate with data engineers to collect, preprocess, and analyze large datasets. Ensure data quality and integrity for effective model training and evaluation.</li><li>Optimize model performance through hyperparameter tuning, feature engineering, and advanced techniques such as transfer learning and ensemble methods.</li><li>Develop scalable and efficient pipelines for deploying machine learning models into production environments. Monitor model performance and implement updates as necessary.</li><li>Work with cross-functional teams to understand requirements, provide technical insights, and integrate machine learning solutions into existing systems and workflows.</li><li>Stay current with the latest advancements in machine learning and AI. Contribute to research initiatives and explore new technologies and methodologies to improve our offerings.</li></ul> Qualifications:<ul><li>Bachelor's or Master’s degree in Computer Science, Engineering, Mathematics, or a related field. Ph.D. is a plus.</li><li>Proven experience in developing and deploying machine learning models. Familiarity with various machine learning frameworks and libraries (e.g., TensorFlow, PyTorch, scikit-learn).</li><li>Proficiency in programming languages such as Python & R</li><li>Experience with cloud platforms (e.g., AWS, Google Cloud, Azure) and containerization tools (e.g., Docker, Kubernetes).</li><li>Strong understanding of machine learning algorithms, statistical analysis, and data modeling.</li><li>Excellent analytical and problem-solving skills. Ability to tackle complex challenges and devise effective solutions.</li><li>Strong verbal and written communication skills. Ability to convey technical concepts to non-technical stakeholders.</li><li>Proven ability to work collaboratively in a fast-paced, team-oriented environment.</li><li>Experience with deep learning frameworks and techniques.</li></ul> Key traits:● Should have excellent communication skills.● Should be self motivated and willing to work as part of a team.● Should be able to collaborate and coordinate with onsite and offsite● Be a problem solver and be proactive to solve the challenges that come his way. Company Profile:-Conceptualized as far back as 2015, and commencing full-time operations in 2018, Blackstraw technologies Pvt Ltd. is a software products and services company specializing in Artificial Intelligence (AI) and Machine Learning solutions for various industries. We support businesses around the world, including North America, Europe and Asia, working to simplify AI implementation through our platform that expedites data labeling, AI model-training, and cloud or on-premise deployments. With more than 900 years of combined work-experience, the 250+-strong Blackstraw Team comprises various experts in the AI value chain. We are a fast-moving team that prides ourselves in rapidly identifying different use-cases and fine-tuning our products to suit specific business needs. We are focused on providing solutions related to computer vision, natural language processing, Data annotation tools for deep learning models, etc. To stay competitive in business, it is key for organizations to adopt and implement smart AI solutions and service offerings. However, most companies are unable to implement AI rapidly due to the complexity of existing solutions, inadequate data and cost implications. Our mission is to enable enterprises to adopt AI in an easier, cost-effective and time-efficient manner with a plug-and-play approach to their data. Blackstraw operations are based out of Canada, USA & India. Our head office is based in Florida

Thryve Digital Health LLP, a global leader in healthcare innovation, collaborates with healthcare partners to deliver strategic and operational excellence. As a captive center of a prestigious US healthcare conglomerate, we have direct access to valuable insights, propelling our learning and keeping us at the forefront of healthcare advancements. Our commitment to innovation, quality, and patient satisfaction is unwavering. We pride ourselves on our diverse and talented workforce, which is central to our success. Thryve is dedicated to creating an inclusive and equitable work environment, upholding the highest standards of integrity and diversity. This position is for a Machine Learning engineer who can build efficient, data-driven AI systems that advance our predictive automation capabilities. The candidate should be highly skilled in statistics and programming, with the ability to confidently assess, analyze, and organize large amounts of data. The ideal candidate will play a crucial role in designing, implementing, and optimizing Computer Vision algorithms (open-source and contribution to building proprietary algorithms) and build AI-based products relating to OCR, Handwritten Data conversion to Structured data forms and develop ETL pipelines to integrate with enterprise applications. Expertise in image analysis, machine learning, and software development will be essential in creating innovative visual recognition systems. Deep knowledge and experience in Computer Vision (CV), Natural Language Processing (NLP) and Model deployment in GCP is a must. Experience and Skills:Position- Data Science / Machine Learning Engineer (AIML)Experience- 6 -14 yearsJob Location - Chennai Mode of Work - Hybrid Requirements Skills: Must Have: TensorFlow, Keras, Transformers, NLP libraries, Deep Neural Nets, CNNs, Pre-Trained models, Transfer Learning, Flask/React/Node.js (for actual visualization), Streamlit (for POCs), Neural Net Architectures, Model Deployment, FAST API development, Google Cloud Deployment in Vertex AI. <ul><li>With a minimum of 5 years of experience in the field of Data Science, you will bring a deep understanding of machine learning, natural language processing, and computer vision in designing and implementing computer vision algorithms, with a portfolio showcasing relevant projects.</li><li>In addition to your data science skills, you should have experience in OCR libraries, algorithms and frameworks can extract text of handwritten documents. Your expertise will be instrumental in solving complex OCR and document training challenges.</li><li>Should be familiar with model deployment in GCP and Google’s ML pipeline lifecycle.</li><li>Proficiency in programming languages such as like Python, SQL, and relevant libraries/frameworks for algorithm development.</li><li>Solid understanding of computer vision concepts, image processing techniques, and feature extraction methods</li><li>Familiarity with machine learning frameworks, libraries, and tools for developing computer vision models.</li><li>Experience with deep learning, neural networks, and popular computer vision architectures</li><li>Strong mathematical background in linear algebra, calculus, and optimization</li><li>Excellent problem-solving skills and the ability to troubleshoot and debug complex computer vision challenges.</li><li>Strong communication skills to collaborate effectively with technical and non-technical teams.</li></ul> Good to Have:<ul><li>Bachelors/Masters/Post Grad Certification in AIML/Data Science from reputed institute.</li><li>US Healthcare experience</li><li>AHM-250 certification</li></ul>

Job descriptionGiggso India Pvt. Ltd is looking for a Machine Learning Engineer with 3.5 years- 6 years to work in product development, lead multiple projects, and mentor junior members of the Machine Learning and Data Engineering Team. Having worked in a startup and/or Product based organisation is a added advantage. Company DescriptionGiggso is a No-Code ModelOps Observability platform founded in 2018. Our platform provides a consolidated and integrated solution for data science, engineering teams, and business executives. We help AI ML teams with incident management, automation, remediation, and self-healing, while also offering capabilities for model risk management and security compliance. Giggso's platform is web 3.0 and blockchain-enabled, bringing together messages and notifications to drive intelligent decision-making. Role Description This is a full-time on-site role for a Machine Learning Engineer at Giggso located in Chennai. The Machine Learning Engineer will be responsible for day-to-day tasks related to pattern recognition, computer science, neural networks, statistics, and algorithms. They will work closely with the team to develop and implement machine learning models and algorithms To join our team, you should possess the below skills: <ul><li>Experience in productizing and deployment of Machine Learning solutions.</li><li>Thorough understanding of the full ML pipeline, starting from data collection to model building to inference.</li><li>Thorough understanding of model monitoring (detecting model variations, etc.) and also the retraining/redeployment process</li><li>Experience with Python and at least a few frameworks/libraries (TensorFlow/ Keras / PyTorch / spaCy / fastText / Scikit-learn etc.)</li><li>Experience or Knowledge in MLOPS and Model OPS.</li><li>NLP (Natural Language Processing) experience, including text classification, entity extraction, and content summarization.</li><li>Strong verbal and written communication skills to express data science concepts and solutions to product managers, data scientists, business partners of varying technical levels, and influence and negotiate to reach alignment on executing strategies and improving models.</li></ul> Your responsibilities: <ul><li>Develop, train, deploy and monitor Machine Learning models.</li><li>Utilize published/existing models to meet business requirements, making necessary tweaks for improving efficiencies and adapting to use-case variations.</li><li>Optimize machine learning model training and inference time.</li><li>Perform Machine Learning model training, deployment, monitoring, and retraining.</li><li>Independently handle end-to-end tasks, including data collection, preparation/annotation, and validation of outcomes.</li><li>Define and develop ML infrastructure to enhance the efficiency of ML development workflows.</li><li>Collaborate with other Engineers, data scientists, product managers, and engineers to formulate innovative ideas, and test / implement them through advanced data science techniques.</li></ul> Innovation brains - technologists who need to break free from standard programming roles to develop vision at speed and scale and become owners of a feature or product within our platform. Ideal candidates are enterprising youngsters who are good in communication and technology and have a flair to accomplish and be a star. The social and hobbies of the individual matter to us, we need free minds who can adapt to agile needs.

Job Description- Machine Learning Engineer with 1 – 3 Years of Experience Exterro R & D Private Limited is a US based Product company, with the leading provider of end-to-end e-discovery software. Exterro is placed in the leader quadrant by Gartner, for the thirdconsecutive year in its annual Magic Quadrant for E-Discovery Software. For further details log onto www.exterro.com ML Engineer job profile Machine Learning is a field of artificial intelligence that focuses on developing systems that can learnand improve from experience. Machine Learning Engineers work on creating and implementing AI models and algorithms to solvecomplex problems. This role often involves working with large datasets, developing algorithms, and deploying modelsinto production environments.ML Engineer job descriptionWe are seeking an enthusiastic and motivated Machine Learning Engineer with 1-3 years ofexperience to join our team. As a Machine Learning Engineer, you will be responsible for designing,building, and maintaining machine learning models with a focus on Generative AI, Large LanguageModels (LLMs), and Natural Language Processing (NLP). You will use your skills and knowledge totackle real-world challenges and contribute to the advancement of AI technology.ML Engineer duties and responsibilities Design, develop, and implement efficient and scalable machine learning models and algorithms Work closely with software engineers to integrate ML models into production systems Implement and optimize NLP algorithms and pipelines Optimize and fine-tune existing models for improved performance Contribute to the research and implementation of state-of-the-art GenAI techniques Participate in the full machine learning lifecycle, from data preparation to model deployment Collaborate with cross-functional teams to identify and solve complex business problems using AI Stay up-to-date with the latest advancements in ML, especially in GenAI, LLMs, and NLP Document your work, including model architectures, experiments, and resultsMust have skills 1-3 years of professional experience in machine learning engineering Proficiency in designing and implementing machine learning models, particularly in GenAI, LLM, andNLP domains. Strong proficiency in Python and either PyTorch or TensorFlow for building and training models. Strong programming skills in Python, including knowledge of data structures, algorithms, and object-oriented programming principles. Experience with NLP techniques and frameworks (e.g., NLTK, spaCy, Hugging Face Transformers) Copyright © 2020 Exterro, Inc. ID# PB003-0914 // www.exterro.com // info@exterro.com // +1 (503) 501-5100 Familiarity with GenAI and LLM technologies (e.g., GPT, Llama, Mistral) Strong problem-solving skills and ability to translate business requirements into technical solutions Proficiency in version control systems (e.g., Git)Good to have skills Experience in writing SQL queries and working with relational databases. Experience in integrating or productionising machine learning models to the existing frameworks Experience in back-end development to integrate machine learning models with applications. (Fullstack experience is an extra bonus to have) Experience with data engineering tools and techniques for large-scale data processing. Experience with cloud platforms (e.g., AWS, GCP, or Azure) for ML model deployment Understanding of serving technologies (e.g., FASTAPI, Flask API,ONNX Runtime) Familiarity with ML experiment tracking tools (e.g., MLflow, Weights & Biases) Strong desire to stay updated with the latest advancements in machine learning and AI. Familiarity with Kubernetes, Docker, and Jenkins for model deployment and pipeline automation.

Machine Learning Engineer Jobs in Chennai, Tamil Nadu

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August 25, 2024

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August 22, 2024

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Machine Learning Engineer Jobs in Chennai, Tamil Nadu

Machine Learning EngineerSeptember 1, 2024

Senior Machine Learning EngineerSeptember 1, 2024

Machine Learning EngineerAugust 25, 2024

Machine Learning EngineerAugust 24, 2024

Senior Machine Learning EngineerAugust 22, 2024

Machine Learning EngineerAugust 15, 2024