Company Description Giggso is a No-Code ModelOps Observability platform founded in 2018. We provide a single integrated platform for data science, engineering teams, and business executives to consolidate, engage, and act on information from monitoring and observability. Our platform offers incident management, automation, remediation, and self-healing capabilities to support AI ML teams. Giggso is web 3.0 and blockchain-enabled, ensuring model risk management, audit, and security compliance. Our platform uses artificial intelligence to infuse vital intelligence into messages and drive decisions. Role Description This is a full-time hybrid role as a Machine Learning Engineer at Giggso. The Machine Learning Engineer will be responsible for day-to-day tasks related to pattern recognition, computer science, neural networks, statistics, and algorithms. This role is primarily based in Chennai but allows for some remote work. Qualifications <ul><li>Strong background in pattern recognition, computer science, and algorithms</li><li>At least 7 years of experience in data and ML is needed.</li><li>Strong data en</li></ul>gineering background<ul><li>Experience with neural networks and statistical analysis</li><li>Proficient in programming languages Python</li><li>Strong knowledge of NLP and GPT </li><li>Hands on working knowledge of Langchain, LLaMA index, Graph RAG, LoRA etc</li><li>Knowledge of machine learning frameworks and libraries (e.g. TensorFlow, PyTorch)</li><li>Experience with data preprocessing, feature engineering, and model evaluation</li><li>Excellent problem-solving and analytical skills</li><li>Ability to work independently and collaboratively in a team</li><li>Masters degree in Computer Science, Statistics, or a related field, prefer Masters in Data science.</li></ul> Relevant skills and qualifications that would be beneficial include experience with big data processing frameworks , natural language processing, and cloud computing platforms (e.g. AWS, Azure) prefer people with Oracle cloud experience l.

Job Title: Machine Learning Engineer Hi Applicants!!! Hiring for Job in a Reputed Organization (Leading Product Based Company) Here is a Gateway to it, through ALP Consulting. Recruiting for Machine Learning Engineer Employment Type: Permanent Essential Functions<ul><li>Hands-on experience with Databricks for data processing and machine learning workflows. </li><li>Building and managing data pipelines using Databricks notebooks.</li><li>Utilizing Delta Lake for data lake management and optimizing data storage.</li><li>Working with Spark SQL for data querying and manipulation.</li><li>In-depth knowledge of cloud services (AWS, Azure, or GCP) and their data offerings, such as: </li><li>Storage solutions (e.g., S3, Azure Blob Storage, Google Cloud Storage).</li><li>Data processing services (e.g., AWS Glue, Azure Data Factory).</li><li>Machine learning services (e.g., AWS SageMaker, Azure ML).</li><li>Experience with data visualization tools (e.g., Tableau, Power BI, Matplotlib).</li><li>Solid understanding of statistical methods and data modeling techniques.</li><li>Excellent problem-solving skills and ability to work in a fast-paced environment.</li><li>Strong communication skills and ability to work collaboratively in a team.</li></ul> Skills required<ul><li>Strong proficiency in Python and experience with machine learning libraries (e.g., TensorFlow, PyTorch, Scikit-learn).</li><li>Good understanding of LangChain, VectorDB, and LLMs</li></ul> Experience: 4 years to 6 years Educational Qualifications: BE/BTech/MCA Salary: As per Market Standards Notice period: 30 Days Job Location: Chennai Note: Immediate joiners or 30 Days’ Notice Period will be Prioritized.

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.

Charles Technologies is a dynamic startup based in Chennai, dedicated to creating innovative mobile applications that transform user experiences. We are looking for a talented and experienced Machine Learning Engineer to join our team and contribute to the development of advanced machine learning solutions that enhance our mobile applications. Qualifications:<ul><li>Education: Bachelor of Engineering in Computer Science, Data Science, AI or Machine Learning. A Master’s degree or relevant certifications are a plus.</li><li>Experience: Minimum of 3 years of experience in machine learning engineering or a related field. Experience working in an Agile Product Development environment is a plus.</li><li>Foundational Knowledge: Strong understanding of machine learning algorithms, software engineering, statistical analysis, and data mining techniques. Knowledge of product development and mobile application development is a plus.</li></ul> Technical Skills:<ul><li>Programming Languages: Proficiency in Python and JavaScript for developing machine learning models and integrating them with applications.</li><li>Machine Learning Frameworks: Experience with libraries and frameworks such as Pandas, Scikit-learn and XGBoost. Experience with Tensorflow.js is a plus. Proficiency in Azure Machine Learning Services.</li><li>Data Visualization: Proficiency in JavaScript libraries like Plotly.js and D3.js for visualizing model outputs and data insights.</li><li>SQL and Azure Cosmos DB: Strong knowledge of SQL for data querying and manipulation. Proficiency in Azure Cosmos DB for scalable and efficient data management.</li><li>Cloud Services: Experience with Azure for deploying machine learning models and solutions.</li><li>Azure DevOps: Proficiency in Azure DevOps, including Repos, Pipelines, and Kanban boards.</li><li>Version Control: Proficient in version control systems like Git.</li><li>API Integration: Experience in integrating machine learning models with RESTful APIs and third-party services.</li></ul> Responsibilities:<ul><li>Model Development: Design, develop, and implement machine learning models to solve business problems and enhance mobile applications.</li><li>Data Management: Manage and optimize data storage and retrieval processes, ensuring data quality and integrity.</li><li>Collaboration: Work closely with data scientists, mobile application developers, product owners, and other stakeholders to understand requirements and deliver machine learning solutions.</li><li>Performance Optimization: Optimize machine learning models for performance and scalability, including profiling and debugging.</li><li>Visualization: Create and maintain dashboards and reports to visualize model outputs and track key performance indicators.</li><li>Documentation: Document machine learning processes, models, and analysis results, ensuring transparency and reproducibility.</li><li>Continuous Improvement: Stay updated with the latest industry trends and technologies in machine learning and continuously improve development practices.</li><li>Testing and Validation: Conduct thorough testing and validation of machine learning models to ensure accuracy and reliability.</li><li>Peer Reviews: Participate in peer reviews of machine learning models and code to ensure quality and share best practices.</li></ul> Perks & Benefits:<ul><li>Central Location: Conveniently located in the heart of the city, with parking facilities and well-served by public transport including buses and Chennai Metro.</li><li>Meals and Refreshments: Lunch, tea/coffee, snacks, and refreshments provided throughout the day.</li><li>Insurance: TATA AIG Family Group Insurance for INR 5.0 Lakhs (Coverage: Self + Spouse + Up to 3 Children).</li><li>Professional Development: Opportunities for continuous learning and growth.</li><li>Team Outings and Events: Regular team-building activities and events.</li><li>Employee Recognition: Programs to acknowledge and reward outstanding performance.</li></ul> How to Apply: Interested candidates can apply through LinkedIn or email us at careers@charles-technologies.com. Join us at Charles Technologies and be a part of a team that’s shaping the future of mobile applications!

Machine Learning Engineer Jobs in Chennai, Tamil Nadu

Machine Learning Engineer
November 17, 2024

Machine Learning Engineer
November 15, 2024

Machine Learning Engineer
November 6, 2024

Machine Learning Engineer
November 6, 2024

Machine Learning Engineer
October 31, 2024

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Machine Learning Engineer Jobs in Chennai, Tamil Nadu

Machine Learning EngineerNovember 17, 2024

Machine Learning EngineerNovember 15, 2024

Machine Learning EngineerNovember 6, 2024

Machine Learning EngineerNovember 6, 2024

Machine Learning EngineerOctober 31, 2024

Quick filters

Top companies

Machine Learning Engineer
November 17, 2024

Machine Learning Engineer
November 15, 2024

Machine Learning Engineer
November 6, 2024

Machine Learning Engineer
November 6, 2024

Machine Learning Engineer
October 31, 2024