1576 Keras Jobs - Page 18

Job Role: ML Research Engineer - ASR (Automatic Speech Recognition) Experience : 2+ years of experience Location: Chennai, Tamil Nadu About the Company: Kaizen being a reputed company is involved in the business of Kaizen Secure Voiz Private Limited is Six-year young company specializing in unified voice interactions management using latest technologies with Global presence for Supply, implementation, testing and commissioning of voice biometrics solution. KSV has good experience in design, development and implementation of such voice biometrics- based technologies and has enabled multi-channel applications such as mobile applications, voice bots, interactive voice response and call center-based services to target group. KSV has proposed options to customers, keeping the world trend on latest technologies. KSV has deployed similar solutions for various companies and understands domain very well. While KSV has proposed voice biometrics-based Interactions management platform is suitable for further scaling and improvements of customer experience using voice analytics solutions later. The introduction of such automation will not only save huge money for the company, but also exponentially increase the customer experience. Responsibilities: Develop and implement Voice Biometric algorithms and models. Evaluate and analyze the performance of Voice Biometric systems. Implement advanced security measures to protect biometric data and ensure compliance with privacy regulations. Optimize the performance of biometric systems to ensure fast and accurate identification and authentication. Fine-tune algorithms and parameters to improve system efficiency and reliability. Collaborate with cross-functional teams to integrate Voice Biometric solutions into various applications and systems. Stay updated with the latest advancements in Voice Biometric technology and contribute to research activities. Impeccable analytical and problem-solving skills Extensive math and computer skills, with a deep understanding of probability, statistics, and algorithms In-depth knowledge of machine learning frameworks, like Keras, PyTorch, etc Familiarity with data structures, data modelling, and software architecture Excellent time management and organizational skills Requirements: Bachelor's degree in computer science, data science, mathematics, or a related field. Master’s degree in computational linguistics, data analytics, or similar will be advantageous. At least two years' experience as a machine learning engineer. Advanced proficiency with Python, Java, and C code writing. In-depth knowledge of Deep Learning and Machine Learning Algorithms. Strong knowledge of Kaldi, Speechbrain, Wespeaker, 3D-Speaker, Unispeech, Nemo etc. Proficiency in speaker verification, Speaker Identification, Speaker Diarization, Anti-spoofing. Strong programming and algorithm development skills. Ability to work independently and as part of a team. Basic knowledge in signal processing. Job Type: Full-time Pay: ₹700,000.00 - ₹1,000,000.00 per year Schedule: Day shift Work Location: In person Application Deadline: 12/07/2025

About The Job The Digital workforce team is part of Red Hat’s Data and AI organization. The team is focused on building and delivering strategic AI agents designed to augment human capabilities, accelerate workflows, and scale operations across the enterprise. We are seeking a highly experienced Principal Data Scientist to lead our initiatives in natural language processing (NLP), machine learning, and data analytics. The ideal candidate will be passionate about creating and developing applications, particularly within the language sector, and have excellent analytical and machine learning knowledge. The focus of the role will be to transform natural language data and requests into creative and interactive features part of our finance & operations business. If you want to build Next generation AI/ML applications, if you have rock-solid development skills, if you thrive in a start-up like environment, if you think outside of the box and love working in a team with similar minded engineers, if you are creative and want to help solve real world customer problems and love presenting innovative solutions, if you believe in community and OpenSource development culture then we are the TEAM for you. In this role, you will be the voice of Red Hat's technical authority, creating and delivering features/ capabilities that helps Red Hat’s data community and in turn our customers achieve their business and technical goals with Red Hat products effectively. You will work collaboratively with members of the Data and AI team, finance, operations, sales, marketing, and product to construct fit for purpose analytical solutions that will be leveraged by business teams to drive proactive customer engagement. The successful candidate will have a track record of strong technical skills, drive to be innovative & creative, excellent communication and collaboration skills, a keen attention to detail, and a passion for quality and open source software. If you enjoy broadening your technical skills, and working in an environment that thrives on creativity, experimentation, and community innovation, then this is the job for you! What Will You Do Lead the research and implementation of advanced algorithms and tools for NLP/GenAI tasks. Drive the development of next-generation AI/ML applications in a highly collaborative environment. Oversee the design, implementation, and delivery of AI solutions. Ensure the successful training and evaluation of NLP models, refining them based on statistical analysis. Collaborate with cross-functional teams, including finance, operations, sales, and marketing, to understand and meet business needs. What Will You Bring 7+ years of professional experience in NLP, with a strong command of Python and frameworks such as Spacy and Hugging Face. Proven expertise in designing and delivering NLP applications across all stages of the data science lifecycle. Deep understanding of machine learning frameworks and experience in Generative AI application development. Working knowledge of TensorFlow, TensorFlow Serving, Keras, PyTorch. Comfortable working with a small team in a fast-paced, highly collaborative environment Experience with GenAI application development - LLMs, Embedding models, Vector Databases Keep up to date in the rapidly changing field of AI/ML by constantly researching and learning new techniques and information related to NLP. Bachelor’s degree or above in Computer Science, Math, Computational Linguistics, or other related fields. Demonstrated experience as an NLP, or experience in a similar role/industry Experience developing highly scalable backend microservices in AWS Personal qualities and communication Communicate and influence for impact by bringing data to life via clear narratives and/or storytelling Communication skills and experience in interacting with cross functional business and engineering teams Capability in undertaking business needs analysis in direct consultation. Be a self-starter, displaying initiative in seeing needs, building functionality and leading insights for organizational change. Capability to develop a detailed understanding of our business requirements. Excellent communication, presentation, and writing skills About Red Hat Red Hat is the world’s leading provider of enterprise open source software solutions, using a community-powered approach to deliver high-performing Linux, cloud, container, and Kubernetes technologies. Spread across 40+ countries, our associates work flexibly across work environments, from in-office, to office-flex, to fully remote, depending on the requirements of their role. Red Hatters are encouraged to bring their best ideas, no matter their title or tenure. We're a leader in open source because of our open and inclusive environment. We hire creative, passionate people ready to contribute their ideas, help solve complex problems, and make an impact. Inclusion at Red Hat Red Hat’s culture is built on the open source principles of transparency, collaboration, and inclusion, where the best ideas can come from anywhere and anyone. When this is realized, it empowers people from different backgrounds, perspectives, and experiences to come together to share ideas, challenge the status quo, and drive innovation. Our aspiration is that everyone experiences this culture with equal opportunity and access, and that all voices are not only heard but also celebrated. We hope you will join our celebration, and we welcome and encourage applicants from all the beautiful dimensions that compose our global village. Equal Opportunity Policy (EEO) Red Hat is proud to be an equal opportunity workplace and an affirmative action employer. We review applications for employment without regard to their race, color, religion, sex, sexual orientation, gender identity, national origin, ancestry, citizenship, age, veteran status, genetic information, physical or mental disability, medical condition, marital status, or any other basis prohibited by law. Red Hat does not seek or accept unsolicited resumes or CVs from recruitment agencies. We are not responsible for, and will not pay, any fees, commissions, or any other payment related to unsolicited resumes or CVs except as required in a written contract between Red Hat and the recruitment agency or party requesting payment of a fee. Red Hat supports individuals with disabilities and provides reasonable accommodations to job applicants. If you need assistance completing our online job application, email application-assistance@redhat.com. General inquiries, such as those regarding the status of a job application, will not receive a reply.

Red & White Education Pvt Ltd , founded in 2008, is Gujarat's leading educational institute. Accredited by NSDC and ISO, we focus on Integrity, Student-Centricity, Innovation, and Unity. Our goal is to equip students with industry-relevant skills and ensure they are employable globally. Join us for a successful career path. Salary - 30K CTC TO 35K CTC Job Description: Faculties guide students, deliver course materials, conduct lectures, assess performance, and provide mentorship. Strong communication skills and a commitment to supporting students are essential. Key Responsibilities: Deliver high-quality lectures on AI, Machine Learning, and Data Science . Design and update course materials, assignments, and projects. Guide students on hands-on projects, real-world applications, and research work. Provide mentorship and support for student learning and career development. Stay updated with the latest trends and advancements in AI/ML and Data Science. Conduct assessments, evaluate student progress, and provide feedback. Participate in curriculum development and improvements. Skills & Tools: Core Skills: ML, Deep Learning, NLP, Computer Vision, Business Intelligence, AI Model Development, Business Analysis. Programming: Python, SQL (Must), Pandas, NumPy, Excel. ML & AI Tools: Scikit-learn (Must), XGBoost, LightGBM, TensorFlow, PyTorch (Must), Keras, Hugging Face. Data Visualization: Tableau, Power BI (Must), Matplotlib, Seaborn, Plotly. NLP & CV: Transformers, BERT, GPT, OpenCV, YOLO, Detectron2. Advanced AI: Transfer Learning, Generative AI, Business Case Studies. Education & Experience Requirements: Bachelor's/Master’s/Ph.D. in Computer Science, AI, Data Science, or a related field. Minimum 1+ years of teaching or industry experience in AI/ML and Data Science. Hands-on experience with Python, SQL, TensorFlow, PyTorch, and other AI/ML tools. Practical exposure to real-world AI applications, model deployment, and business analytics.

About the Role: We are looking for experienced and innovative Data Scientists with a strong foundation in Artificial Intelligence, Machine Learning, and Google Cloud Platform (GCP) . The ideal candidate will have hands-on experience with LLMs, chatbot frameworks , and full-stack web development to help us drive intelligent and scalable solutions across our products. Key Responsibilities: Design and deploy AI/ML solutions using GCP’s AI/ML services Develop LLM-based applications , optimize prompts, and evaluate outputs Build intelligent chatbots and conversational AI systems Create machine learning models using supervised, unsupervised, and reinforcement learning Use Python and libraries like TensorFlow, PyTorch, Keras, Scikit-learn, Pandas, NumPy Build dashboards and visualizations with Matplotlib and Seaborn Develop and maintain REST APIs using Flask, Django, or FastAPI Collaborate on front-end interfaces using React or Angular with CSS Write and optimize SQL queries for data extraction and transformation Partner with cross-functional teams to deliver data-driven insights Required Skills & Tools: Python, Pandas, NumPy, Scikit-learn, TensorFlow, PyTorch, Keras SQL, GCP (Vertex AI, BigQuery, Cloud Functions, etc.) Chatbot frameworks, LLMs (OpenAI, PaLM, Claude, etc.) Flask / Django / FastAPI React / Angular / CSS Prompt engineering, model evaluation, data visualization Excellent problem-solving and communication skills Educational Qualification: Bachelor's or Master’s in Computer Science, Statistics, Mathematics , or a related field Why Join Us? Work on next-gen AI/ML projects with global impact Be part of a highly collaborative and innovation-driven team Leverage cutting-edge tools and large language models in real-world applications Competitive compensation and flexible work environment Ready to Apply? If you’re passionate about AI and want to work at the cutting edge of LLMs, cloud, and intelligent automation— apply now or reach out directly via LinkedIn message.

AI/ML Expert – Full-Time 📍 Location : Chennai (Work From Office) 🧠 Experience : 4+ Years 🎖️ Amazing Workplaces® Certified – June 2025 to June 2026 About the Role We’re looking for a data-driven AI/ML Expert with a passion for solving real-world problems through cutting-edge machine learning and deep learning solutions. You will play a vital role in helping us evaluate new product ideas, forecast market trends, and validate innovation through experimentation. Key Responsibilities Design, develop, and deploy ML models to predict product-market fit and customer behavior. Lead end-to-end AI projects : from data preparation to model evaluation and deployment. Use tools like Tensor Flow, PyTorch, Keras, Pandas , and scikit-learn to build and fine-tune models. Handle large datasets , perform data wrangling, and extract actionable insights. Query, manage, and maintain MySQL databases for structured data access. Leverage natural language processing (NLP) using Lang Chain or similar libraries. Collaborate with product, engineering, and design teams to align AI goals with business objectives. Communicate insights and model outcomes clearly to both technical and non-technical stakeholders. Stay ahead of industry trends and recommend innovative AI/ML strategies. What We’re Looking For 4+ years of hands-on experience in AI/ML or Data Science roles. Strong knowledge of Python, TensorFlow, PyTorch, and Keras. Advanced experience with Pandas, NumPy, scikit-learn, and SQL (MySQL preferred). Experience in NLP, computer vision, or recommendation systems is a plus. Excellent problem-solving, analytical, and communication skills. Bachelor's or Master’s in Computer Science, Machine Learning, Data Science, or related field. Why Join Us? 🚀 Work on innovation-driven products in the travel and aviation tech domain. 🧠 A learning-first culture that empowers you to grow fast. 💼 Flat hierarchy, ownership-driven roles. 🏆 Proud to be an Amazing Workplaces® Certified company. 🎉 Perks include: Medical Insurance, Health Insurance, Rewards, NPS, Team Outings, and more.

Job Title : Data : Bachelor's or master's degree in computer science, Statistics, Mathematics, or a related field Experience : 6 To 10 Year(s) Skill set : Artificial Intelligence / Machine Learning Domain Knowledge Strong working knowledge of the Google Cloud Platform (GCP) and its AI/ML services Proven experience in chatbot creation and development using relevant frameworks Proven experience in developing and implementing machine learning models. Strong programming skills in Python, with expertise in Pandas, NumPy, Scikit-learn, TensorFlow, PyTorch, Keras , Matplotlib and Seaborn. Proficiency in SQL querying and database management. Experience with front-end frameworks such as React or Angular and CSS. Experience with back-end frameworks such as Django, Flask, or FastAPI. Experience in prompt engineering for large language models (LLMs), including prompt design, optimization, and evaluation. Strong problem-solving skills and the ability to translate business requirements into technical solutions. Excellent communication and presentation skills, with the ability to explain complex concepts to non-technical audiences. Job Description Deploy and manage AI/ML applications on the Google Cloud Platform (GCP) Design, develop, and implement conversational AI solutions using various chatbot frameworks and platforms Design, develop, and optimize prompts for large language models (LLMs) to achieve desired outputs Develop and implement machine learning models using supervised, unsupervised, and reinforcement learning algorithms. Utilize Python with Pandas, NumPy, Scikit-learn, TensorFlow, PyTorch, and Keras to build and deploy machine learning solutions. Create visualizations using Matplotlib and Seaborn to communicate insights Write and optimize SQL queries to extract and manipulate data from various databases. Develop and maintain web applications and APIs using Python frameworks such as Django, Flask, or FastAPI. Build user interfaces using JavaScript frameworks such as React or Angular, along with CSS. Collaborate with cross-functional teams to understand business requirements and translate them into technical solutions. Communicate complex technical concepts and findings to non-technical stakeholders through presentations and reports. (ref:hirist.tech)

Job Summary: We are looking for a skilled and motivated Machine Learning Engineer with 2–3 years of experience to join our data science and engineering team. In this role, you’ll help build and deploy ML models that drive insights, automation, and intelligent products for the business. You’ll work closely with data scientists, software engineers, and product teams to take ML solutions from concept to production. Key Responsibilities: Design, develop, and deploy machine learning models for real-world applications Collaborate with cross-functional teams to understand business problems and translate them into ML tasks Perform data preprocessing, feature engineering, and exploratory data analysis Train, validate, and fine-tune ML models using libraries such as Scikit-learn, TensorFlow, or PyTorch Package and deploy models via APIs or within production systems Monitor model performance and implement improvements over time Document experiments, models, and processes clearly and thoroughly Required Qualifications: 2–3 years of experience in machine learning or applied data science roles Proficiency in Python and ML libraries such as Scikit-learn, TensorFlow, Keras, or PyTorch Strong understanding of supervised and unsupervised learning algorithms Experience working with data manipulation tools like Pandas and NumPy Familiarity with SQL and working with relational or NoSQL databases Basic knowledge of version control (e.g., Git) and software development best practices Understanding of ML lifecycle and model deployment Preferred Qualifications: Experience deploying models in cloud environments (AWS, GCP, Azure) Familiarity with ML pipeline tools like MLflow, Kubeflow, or Airflow Exposure to NLP, computer vision, or time series forecasting is a plus Bachelor’s or Master’s degree in Computer Science, Data Science, Mathematics, or a related field Benefits: Competitive salary and performance-based bonus Health, dental, and vision insurance Paid time off and holidays 401(k) with company match Training budget and opportunities for career growth

Urgent Job Opening-Applicable both for Males& Females Associate Professo r - CSE required for one of the reputed and top-notch private Engineering College- Immediate Joiner Required or Candidates with minimum Notice period are prioritized Industry- Education Designation -Associate Professor No of positions Open for this role : 5 Department - CSE Qualification : B.tech& M.tech required in same domain- CSE Yrs of exp : 2-5 Yrs Location :Kakinada( Andhra Pradesh)- East Godavari District Candidates nearby to Kakinada- Semi urban cities and Neighboring Rural places too are eligible for this role. Preferred candidate profile Kindly upload the updated resume of the candidate as per the guidelines given above. First Priority given to Localites of Kakinada and neighbouring areas, If candidate interested to relocate,then also they can send their Updated Profiles Latest Mail Id and contact details of the candidates needs to be mentioned in the profile

Description We are part of the India & Emerging Stores Customer Fulfilment Experience Org. Team's mission is to address unique customer requirements and the increasing associated costs/abuse of returns and rejects for Emerging Stores. Our team implements tech solves that reduce the net cost of concessions/refunds - this includes buyer and seller abuse, costs associated with return/reject transportation, cost of contacts and operations cost at return centers. We have a huge opportunity to create a legacy and our Legacy Statement is to “transform ease and quality of living in India, thereby enabling its potential in the 21st century”. We also believe that we have an additional responsibility to “help Amazon become truly global in its perspective and innovations” by creating global best-in-class products/platforms that can serve our customers worldwide. This is an opportunity to join our mission to build tech solutions that empower sellers to delight the next billion customers. You will be responsible for building new system capabilities grounds up for strategic business initiatives. If you feel excited by the challenge of setting the course for large company wide initiatives, building and launching customer facing products in IN and other emerging markets, this may be the next big career move for you. We are building systems which can scale across multiple marketplaces and are on the state-of-the-art in automated large scale e-commerce business. We are looking for a SDE to deliver capabilities across marketplaces. We operate in a high performance agile ecosystem where SDEs, Product Managers and Principals frequently connect with end customers of our products. Our SDEs stay connected with customers through seller/FC/Deliver Station visits and customer anecdotes. This allows our engineers to significantly influence product roadmap, contribute to PRFAQs and create disproportionate impact through the tech they deliver. We offer Technology leaders a once in a lifetime opportunity to transform billions of lives across the planet through their tech innovation. As an engineer, you will help with the design, implementation, and launch of many key product features. You will get an opportunity to work on the wide range of technologies (including AWS Open Search, Lambda, ECS, SQS, Dynamo DB, Neptune etc.) and apply new technologies for solving customer problems. You will have an influence on defining product features, drive operational excellence, and spearhead the best practices that enable a quality product. You will get to work with highly skilled and motivated engineers who are already contributing to building high-scale and high-available systems. If you are looking for an opportunity to work on world-leading technologies and would like to build creative technology solutions that positively impact hundreds of millions of customers, and relish large ownership and diverse technologies, join our team today! As An Engineer You Will Be Responsible For Ownership of product/feature end-to-end for all phases from the development to the production. Ensuring the developed features are scalable and highly available with no quality concerns. Work closely with senior engineers for refining the design and implementation. Management and execution against project plans and delivery commitments. Assist directly and indirectly in the continual hiring and development of technical talent. Create and execute appropriate quality plans, project plans, test strategies and processes for development activities in concert with business and project management efforts. Contribute intellectual property through patents. The candidate should be passionate engineer about delivering experiences that delight customers and creating solutions that are robust. He/she should be able to commit and own the deliveries end-to-end. About The Team Team: IES NCRC Tech Mission: We own programs to prevent customer abuse for IN & emerging marketplaces. We detect abusive customers for known abuse patterns and apply interventions at different stages of buyer's journey like checkout, pre-fulfillment, shipment and customer contact (customer service). We closely partner with International machine learning team to build ML based solutions for above interventions. Vision: Our goal is to automate detection of new abuse patterns and act quickly to minimize financial loss to Amazon. This would act as a deterrent for abusers, while building trust for genuine customers. We use machine learning based models to automate the abuse detection in a scalable & efficient manner. Technologies: The ML models leveraged by the team include a vast variety ranging from regression-based (XgBoost), to deep-learning models (RNN, CNN) and use frameworks like PyTorch, TensorFlow, Keras for training & inference. Productionization of ML models for real-time low-latency high traffic use-cases poses unique challenges, which in turn makes the work exciting. In terms of tech stack, multiple AWS technologies are used, e.g. Sagemaker, ECS, Lambda, ElasticSearch, StepFunctions, AWS Batch, DynamoDB, S3, CDK (for infra), GraphDBs and are open to adopt new technologies as per use-case. Basic Qualifications 3+ years of non-internship professional software development experience 2+ years of non-internship design or architecture (design patterns, reliability and scaling) of new and existing systems experience Experience programming with at least one software programming language Preferred Qualifications 3+ years of full software development life cycle, including coding standards, code reviews, source control management, build processes, testing, and operations experience Bachelor's degree in computer science or equivalent Our inclusive culture empowers Amazonians to deliver the best results for our customers. If you have a disability and need a workplace accommodation or adjustment during the application and hiring process, including support for the interview or onboarding process, please visit https://amazon.jobs/content/en/how-we-hire/accommodations for more information. If the country/region you’re applying in isn’t listed, please contact your Recruiting Partner. Company - ADCI - Haryana Job ID: A3024781

Description We are part of the India & Emerging Stores Customer Fulfilment Experience Org. Team's mission is to address unique customer requirements and the increasing associated costs/abuse of returns and rejects for Emerging Stores. Our team implements tech solves that reduce the net cost of concessions/refunds - this includes buyer and seller abuse, costs associated with return/reject transportation, cost of contacts and operations cost at return centers. We have a huge opportunity to create a legacy and our Legacy Statement is to “transform ease and quality of living in India, thereby enabling its potential in the 21st century”. We also believe that we have an additional responsibility to “help Amazon become truly global in its perspective and innovations” by creating global best-in-class products/platforms that can serve our customers worldwide. This is an opportunity to join our mission to build tech solutions that empower sellers to delight the next billion customers. You will be responsible for building new system capabilities grounds up for strategic business initiatives. If you feel excited by the challenge of setting the course for large company wide initiatives, building and launching customer facing products in IN and other emerging markets, this may be the next big career move for you. We are building systems which can scale across multiple marketplaces and are on the state-of-the-art in automated large scale e-commerce business. We are looking for a SDE to deliver capabilities across marketplaces. We operate in a high performance agile ecosystem where SDEs, Product Managers and Principals frequently connect with end customers of our products. Our SDEs stay connected with customers through seller/FC/Deliver Station visits and customer anecdotes. This allows our engineers to significantly influence product roadmap, contribute to PRFAQs and create disproportionate impact through the tech they deliver. We offer Technology leaders a once in a lifetime opportunity to transform billions of lives across the planet through their tech innovation. As an engineer, you will help with the design, implementation, and launch of many key product features. You will get an opportunity to work on the wide range of technologies (including AWS Open Search, Lambda, ECS, SQS, Dynamo DB, Neptune etc.) and apply new technologies for solving customer problems. You will have an influence on defining product features, drive operational excellence, and spearhead the best practices that enable a quality product. You will get to work with highly skilled and motivated engineers who are already contributing to building high-scale and high-available systems. If you are looking for an opportunity to work on world-leading technologies and would like to build creative technology solutions that positively impact hundreds of millions of customers, and relish large ownership and diverse technologies, join our team today! As An Engineer You Will Be Responsible For Ownership of product/feature end-to-end for all phases from the development to the production. Ensuring the developed features are scalable and highly available with no quality concerns. Work closely with senior engineers for refining the design and implementation. Management and execution against project plans and delivery commitments. Assist directly and indirectly in the continual hiring and development of technical talent. Create and execute appropriate quality plans, project plans, test strategies and processes for development activities in concert with business and project management efforts. Contribute intellectual property through patents. The candidate should be passionate engineer about delivering experiences that delight customers and creating solutions that are robust. He/she should be able to commit and own the deliveries end-to-end. About The Team Team: IES NCRC Tech Mission: We own programs to prevent customer abuse for IN & emerging marketplaces. We detect abusive customers for known abuse patterns and apply interventions at different stages of buyer's journey like checkout, pre-fulfillment, shipment and customer contact (customer service). We closely partner with International machine learning team to build ML based solutions for above interventions. Vision: Our goal is to automate detection of new abuse patterns and act quickly to minimize financial loss to Amazon. This would act as a deterrent for abusers, while building trust for genuine customers. We use machine learning based models to automate the abuse detection in a scalable & efficient manner. Technologies: The ML models leveraged by the team include a vast variety ranging from regression-based (XgBoost), to deep-learning models (RNN, CNN) and use frameworks like PyTorch, TensorFlow, Keras for training & inference. Productionization of ML models for real-time low-latency high traffic use-cases poses unique challenges, which in turn makes the work exciting. In terms of tech stack, multiple AWS technologies are used, e.g. Sagemaker, ECS, Lambda, ElasticSearch, StepFunctions, AWS Batch, DynamoDB, S3, CDK (for infra), GraphDBs and are open to adopt new technologies as per use-case. Basic Qualifications 3+ years of non-internship professional software development experience 2+ years of non-internship design or architecture (design patterns, reliability and scaling) of new and existing systems experience Experience programming with at least one software programming language Preferred Qualifications 3+ years of full software development life cycle, including coding standards, code reviews, source control management, build processes, testing, and operations experience Bachelor's degree in computer science or equivalent Our inclusive culture empowers Amazonians to deliver the best results for our customers. If you have a disability and need a workplace accommodation or adjustment during the application and hiring process, including support for the interview or onboarding process, please visit https://amazon.jobs/content/en/how-we-hire/accommodations for more information. If the country/region you’re applying in isn’t listed, please contact your Recruiting Partner. Company - ADCI - Haryana Job ID: A3024851

2+ years of ML + NLP experience. Programming in Python. Knowledge of SQL and NoSQL databases. Expert ability to write robust code in Python. Experience working with structured and unstructured data including data extraction, integration, and normalization. Very fluent in ML frameworks/libraries like Tensorflow, Pytorch, ONNX, Scikit Learn, Keras, Spacy. Expert skill at manipulating data frames using Pandas and arrays using NumPy. Good To Have: Experience with big data frameworks such as Spark and Hadoop. Experience with containerizing applications using docker. Roles and Responsibilities Understanding business objectives and formulating the problem as a Machine Learning problem. In-depth knowledge of various NLP domains such as entity extraction, topic modeling, knowledge graphs, parsing, question answering, etc and linking with domain specific dictionaries. Expertise in a variety of Deep Learning architectures including RNN, CNN, LSTMs, Transformer, and Transfer Learning. Excellent background in Machine Learning (generative model, discriminative model, neural network, regression, classification, clustering, etc.) and conversational AI (chatbots). Implement cutting edge CV techniques in image classification, object detection, semantic segmentation, sequence modeling, etc. using frameworks such as OpenCV. Hands-on experience in any public cloud environment (AWS, GCP or Azure). Ability to build robust data processing and analytics pipelines. Operationalize ML models into production environment(s). Strong knowledge of software fundamentals, data structures and algorithms. Strong analytical and problem-solving skills. Quick learner passionate about Machine Learning and Data Science.

Educational Bachelor of Engineering Service Line AI & Automation Service Line Responsibilities Data collection and preparationCollect and prepare data for training and evaluating LLMs. This may involve cleaning and processing text data, or creating synthetic data Model developmentDesign and implement LLM models. This may involve choosing the right architecture, training the model, and tuning the hyperparameters Model evaluationEvaluate the performance of LLM models. This may involve measuring the accuracy of the model on a held-out dataset, or assessing the quality of the generated text Model deploymentDeploy LLM models to production. This may involve packaging the model, creating a REST API, and deploying the model to a cloud computing platform. Responsible AIShould have proficient knowledge in Responsible AI and Data Privacy principles to ensure ethical data handling, transparency, and accountability in all stages of AI development. Must demonstrate a commitment to upholding privacy standards, mitigating bias, and fostering trust within data-driven initiatives. Experience in working with ML toolkit like R, NumPy, MatLab etc.. Experience in data mining, statistical analysis and data visualization Additional Responsibilities: Ability to develop value-creating strategies and models that enable clients to innovate, drive growth and increase their business profitability Good knowledge on software configuration management systems Awareness of latest technologies and Industry trends Technical and Professional : Primary skills:Technology-Artificial Intelligence-Computer Vision,Technology-Big Data-Natural language processing(NLP),Technology-Machine Learning-Python Preferred Skills: Technology-Big Data-Natural language processing(NLP) Technology-Machine Learning-Python Technology-Artificial Intelligence-Computer Vision Technology-Machine Learning-Generative AI

Description Role Summary: The AI/ML Engineers will be responsible for developing, testing, and deploying machine learning models and AI algorithms that can be integrated into the product suite. The ideal candidate will have expertise in integrating large language models (LLMs) with external knowledge bases, fine-tuning model architectures for specific tasks, and optimizing retrieval strategies to improve the accuracy and relevance of generated content. Key Responsibilities:  Implement and optimize AI/ML algorithms for product integration.  Collaborate with data scientists to deploy models and integrate them with software products.  Design scalable solutions for AI/ML applications.  Develop automated pipelines for continuous model training and updates.  Work with engineering teams to ensure smooth integration and operation of AI models in production.  Monitor and troubleshoot AI/ML models to ensure reliability and performance. Required Experience:  4 – 6 years of hands-on experience in machine learning model development and deployment.  Hands-on experience in developing and fine-tuning Generative AI models, specifically focusing on Retrieval-Augmented Generation (RAG) systems.  Experience with frameworks such as Hugging Face, OpenAI, or other GenAI platforms, along with proficiency in data preprocessing and model evaluation, is required  Proficiency in Python, TensorFlow, Keras, PyTorch, or other AI/ML frameworks.  Experience with model deployment and monitoring in production environments.  Strong problem-solving skills and experience with cloud computing platforms (AWS, GCP, Azure).  Familiarity with containerization and orchestration tools (e.g., Docker, Kubernetes). Requirements Role Summary: The AI/ML Engineers will be responsible for developing, testing, and deploying machine learning models and AI algorithms that can be integrated into the product suite. The ideal candidate will have expertise in integrating large language models (LLMs) with external knowledge bases, fine-tuning model architectures for specific tasks, and optimizing retrieval strategies to improve the accuracy and relevance of generated content. Required Experience: 4 – 6 years of hands-on experience in machine learning model development and deployment. Hands-on experience in developing and fine-tuning Generative AI models, specifically focusing on Retrieval-Augmented Generation (RAG) systems. Experience with frameworks such as Hugging Face, OpenAI, or other GenAI platforms, along with proficiency in data preprocessing and model evaluation, is required Proficiency in Python, TensorFlow, Keras, PyTorch, or other AI/ML frameworks. Experience with model deployment and monitoring in production environments. Strong problem-solving skills and experience with cloud computing platforms (AWS, GCP, Azure). Familiarity with containerization and orchestration tools (e.g., Docker, Kubernetes). Job responsibilities Key Responsibilities: Implement and optimize AI/ML algorithms for product integration. Collaborate with data scientists to deploy models and integrate them with software products. Design scalable solutions for AI/ML applications. Develop automated pipelines for continuous model training and updates. Work with engineering teams to ensure smooth integration and operation of AI models in production. Monitor and troubleshoot AI/ML models to ensure reliability and performance. What we offer Culture of caring. At GlobalLogic, we prioritize a culture of caring. Across every region and department, at every level, we consistently put people first. From day one, you’ll experience an inclusive culture of acceptance and belonging, where you’ll have the chance to build meaningful connections with collaborative teammates, supportive managers, and compassionate leaders. Learning and development. We are committed to your continuous learning and development. You’ll learn and grow daily in an environment with many opportunities to try new things, sharpen your skills, and advance your career at GlobalLogic. With our Career Navigator tool as just one example, GlobalLogic offers a rich array of programs, training curricula, and hands-on opportunities to grow personally and professionally. Interesting & meaningful work. GlobalLogic is known for engineering impact for and with clients around the world. As part of our team, you’ll have the chance to work on projects that matter. Each is a unique opportunity to engage your curiosity and creative problem-solving skills as you help clients reimagine what’s possible and bring new solutions to market. In the process, you’ll have the privilege of working on some of the most cutting-edge and impactful solutions shaping the world today. Balance and flexibility. We believe in the importance of balance and flexibility. With many functional career areas, roles, and work arrangements, you can explore ways of achieving the perfect balance between your work and life. Your life extends beyond the office, and we always do our best to help you integrate and balance the best of work and life, having fun along the way! High-trust organization. We are a high-trust organization where integrity is key. By joining GlobalLogic, you’re placing your trust in a safe, reliable, and ethical global company. Integrity and trust are a cornerstone of our value proposition to our employees and clients. You will find truthfulness, candor, and integrity in everything we do. About GlobalLogic GlobalLogic, a Hitachi Group Company, is a trusted digital engineering partner to the world’s largest and most forward-thinking companies. Since 2000, we’ve been at the forefront of the digital revolution – helping create some of the most innovative and widely used digital products and experiences. Today we continue to collaborate with clients in transforming businesses and redefining industries through intelligent products, platforms, and services.

Role: Gen AI Engineer Location: Hyderabad Experience: 5+ years Mode of Interview: Scheduled in-person interview only Date: 12th July 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

Responsibilities: * Collaborate with cross-functional teams on data science projects * Implement Keras models for machine learning applications * Develop AI/ML solutions using Python, Keras, LLM, Data Science

Job Description: Siemens Healthineers has openings for full time Data scientist to support development of AI-based applications for products in Healthcare. The candidate would be working on one of the AI applications within the AI-Rad Companion suite of clinical AI applications. The role of the data scientist is to be a bridge between the research teams developing Medical Imaging related AI algorithms, the engineering teams productizing it, the Regulatory team filing for country regulatory clearances and the clinical customers. Clear understanding of the fundamentals of medical imaging, radiology in particular is essential to perform the role. Understanding of the regulatory clearances and it’s needs for supporting evidence for AI algorithms is necessary as the person facilitates these inputs working closely with the research team and regulatory teams. High level Understanding of the AI and it’s applications in clinical context is essential to bring the information related to performance and reliability metrics. Work closely with the clinical evaluation report writers to provide insights into the AI application. The applicant will join our innovation group in solving exciting and challenging research problems with real-world medical applications that require Data science. Our group develops medical image, text analytics and AI applications supporting clinicians and other medical professionals. We are well recognized for delivering cutting-edge intelligent solutions. Responsibilities: Contribute the development of Artificial Intelligence solutions for medical imaging Support the product development and deployment of research prototypes Support Scientific evaluation, setup and manage algorithm validation pipeline Education: Recently acquired Masters or PhD in Computer Science, Electrical Engineering, Optimization, Mathematics or Statistics. Experience: 4+ Years of experience Skills/Competency: Strong programming ability in both scripting and object-oriented programming languages is required (C/C++, C#, python, R) Working knowledge of deep learning frameworks and libraries like pytorch, caffe, tensor flow and high-level APIs like Keras is preferable but not required Prior exposure to machine learning and related fields is preferable but not required Motivated, self-driven and with a strong ability to learn independently Exhibits strong problem-solving skills Self-directed and actively takes initiative Familiar with DICOM & Medical Raw image formats and it's applications Familiar with Data science tools Strong knowledge of regulatory needs related to medical devices, AI products in healthcare

We are looking to hire a Computer Vision Engineer for our Tech team where you will be responsible for development and optimization of various computer vision algorithms/pipelines for video surveillance. Job responsibilities: 1. Development of object detection, classification, tracking, and counting algorithms 2. Porting of already existing algorithms/pipelines to GPU 3. Optimization of already existing CPU/GPU algorithms/pipelines Required Skills: 1. Proficiency in any programming language, preferably C++ or Python.. 2. Strong understanding of image processing, computer vision algorithms and machine learning. 3. High competency with image processing, computer vision and machine learning libraries such as OpenCV, Keras, OpenVino, Deepstream, Pytorch, Tensorflow. 4. Experience with rapid prototyping with e.g. Python, OpenCV 5. Previous work in video surveillance is a big plus 6. Should work independently as well as with team Job Types: Full-time, Permanent Pay: ₹400,000.00 - ₹600,000.00 per year Benefits: Food provided Health insurance Provident Fund Schedule: Day shift Work Location: In person

Navaera Worldwide is a global, full-service firm that specializes in advanced knowledge management products and services designed to help Financial organizations improve operational efficiency, Manage Risk, Detect Fraud and gain competitive advantage. The privately held company has diverse clients around the world including major corporations in the financial services industry. As a brand, Navaera Worldwide provides complex business products and solutions to small and large organizations through Navaera Global Services. Navaera Worldwide has offices located in three continents with global headquarter based in New York. Other offices are in Toronto, Canada & Baroda, India. Designation: AI/ML (Associate Role) Experience Range: 2 Year to 4 Years Roles and Responsibilities: · Should be able to work in the areas of Data Analytics, Computer vision, NLP, OCR related task. · Data collection, Dataset preparation, Architecture modeling, model training/testing and deployment · Should have experience in handling digital data extraction and processing · Should be able to create training as well testing pipeline with different aspects of data · Must have experience in creating model architecture from scratch as well strong enough to transform pre-trained models · Should be very well equipped with the latest AI trend to keep the process up to date · Identify opportunities for process improvements, recommend system modifications. · Working with minimum of technical supervision and supplemental engineering support, while responding efficiently to multiple program priorities · Working well in a team environment and being able to effectively drive cross-team solutions that have complex dependencies and requirements · Experience with some of these methods: Regression, Decision Trees, CART, Random Forest, Boosting, Evolutionary Programming, Neural Networks, Fuzzy Systems, Bayesian Belief Networks, Support Vector Machines, Ensemble Methods, Association Rules, Singular Value Decomposition, Principal Component Analysis, Clustering, Artificial Intelligence, Deep learning etc Requisites: · B.E./B.Tech in Computer Science/Statistics/IT/ECE stream - M.S. or Ph.D. in Applied Mathematics, Statistics, Computer Science, Operations Research, Economics, or equivalent · Ex5perience in C/C++/Java/Python for developing machine learning/deep learning solutions · 2-4 years of experience in data science, machine learning/Deep learning · 2-4 years of experience in building and deploying Machine Learning solutions using various supervised/unsupervised ML algorithms · 2-4 years of hands-on experience with Python and any framework such as TensorFlow, PyTorch or MXnet along with ML libraries such as scikit-learn, NumPy, pandas, Keras etc, and/or natural language processing using NLTK, spaCy, Gensim, etc. · Good communication and interpersonal skills. · Experience in decision science tools and techniques will be added advantage · Strong problem solving and conceptual thinking, with ability to communicate even complex ideas in a succinct manner · Ability to work in a fast-paced and deadline driven environment · Strong work ethics like sense of collaboration and ownership. Job Type: Full-time Pay: ₹40,000.00 - ₹80,000.00 per month Benefits: Health insurance Provident Fund Schedule: Day shift Monday to Friday Application Question(s): Total how many years of experience do you have in AI/ML? Are you ready to work from office and relocate to Vadodara Gujarat? What is your notice period in days? What is your current annual CTC? What is your expected annual CTC? Work Location: In person

MERN/MEAN Fullstack Developer (Senior and Junior) Senior Developer : 5+ Years Junior Developer: 2+ Years Work Mode : Remote Apply Now About Firstsource Firstsource Solutions Limited, an RPSanjiv Goenka Group company (NSE: FSL, BSE: 532809, Reuters: FISO.BO, Bloomberg: FSOL:IN), is a specialized global business process services partner, providing transformational solutions and services spanning the customer lifecycle across Healthcare, Banking and Financial Services, Communications, Media and Technology, Retail, and other diverse industries. With an established presence in the US, the UK, India, Mexico, Australia, South Africa, and the Philippines, we make it happen for our clients, solving their biggest challenges with hyper-focused, domain-centered teams and cutting-edge tech, data, and analytics. Our real-world practitioners work collaboratively to deliver future-focused outcomes. Position Summary : We are seeking a highly skilled and experience senior developer with a strong background in MEAN/MERN stack (MongoDB, Express.js, React.js, Node.js, Angular) to join our team. The ideal candidate should have 4-6 years of hands-on experience in developing and maintaining applications using MEAN/MERN stack and will play key role in designing, developing and deploying software applications. Responsibilities : Design, develop and maintain large scale software applications using the MEAN/MERN stack. Collaborate with cross-functional teams to define, design, and develop new features. Create and Own High-Level Design, Low Level Design for each of the Software applications. Perform code reviews and provide constructive feedback to team members. Troubleshoot, debug, and optimize existing applications for performance and scalability. Mentor and guide junior developers. Collaborate with product manager and other stakeholders to understand. Learn, acquire, and get certified on new technologies as demanded by project Any exposure and experience in AI, ML and Data Science will be of additional advantage . Strong proficiency in design, development, maintenance, and support of software applications with proven experience in Java/Python/Node.js React.js (having knowledge of Angular will be an additional advantage) RDMS (Oracle/SQL Server/Postgres) SQL NoSQL databases like Mongo Experience with front-end technologies such as HTML, CSS and JavaScript. Extensive experience in Open-Source Technologies Preferable: Knowledge of database management tools like Liquibase / Hibernate Well-versed in Devops (e.g. Azure DevOps) and cloud PaaS. Cloud-based (AWS/Azure) deployment of models, performance monitoring and troubleshooting Familiarity with Docker and Git Good understanding of coding standards, ability to debug. Good Experience in Software development lifecycle and processes. Excellent written and oral communication skills Ability to work effectively in a cross-functional team. Added advantage: Exposure to AI/ML frameworks in Keras, Pytorch, libraries scikit-learn Knowledge and practical application of statistical analysis and mathematical modeling concepts and principles POSITION SPECIFICATIONS Bachelor’s degree in computer science, Information Technology, Electronics Communication. Other branches of engineering with proven skills through past experience / projects can also apply. ⚠️ Disclaimer: Firstsource follows a fair, transparent, and merit-based hiring process. We never ask for money at any stage. Beware of fraudulent offers and always verify through our official channels or @firstsource.com email addresses.

Why this job matters We are searching for a proficient AI/ML engineer who can help us to extract value from our data. The resource will be responsible for E2E processes including data collection, cleaning & pre-processing, training of the models and deployment in all production and non-production environments. What youll be doing Understanding business objectives and developing models that help to achieve them, along with metrics to track their progress. Analysing the ML algorithms that could be used to solve a given problem and ranking them by their success probability. Analysing the ML algorithms that could be used to solve a given problem and ranking them by their success probability. Verifying data quality, and/or ensuring it via data cleaning. Supervising the data acquisition process if more data is needed. Defining validation strategies Defining the pre-processing or feature engineering to be done on given data. Defining data augmentation pipelines. Training models and tuning their hyperparameters. analysing the errors of the model and designing strategies to overcome them. Perform statistical analysis and fine-tuning using test results. Train and retrain systems when necessary. Strong knowledge on model deployment pipeline MLOPS and knowledge of AWS/GCP deployment. Skills Required Proven experience (4 or more years) as a Machine Learning Engineer/ Artificial Intelligence Engineer or similar role. Solving business problems using Machine Learning algorithms, Deep Learning/Neural Network algorithms, Sequential model development, and Time series data modelling. Experience with Computer Vision techniques, Convolutional Neural Networks (CNN), Generative AI, and Large Language Models (LLMs) Experience with deploying models using MLOps pipelines. Proficiency in handling both structured and unstructured data, including SQL, BigQuery, and DataProc. Hands-on experience with API development using frameworks like Flask, Django, and FastAPI. Automating business and functional operations using AIOps. Experience with cloud platforms such as GCP and AWS, and tools like Qlik (Added advantage) Understanding of data structures, data modelling and software architecture. Expertise in visualizing and manipulating big datasets. Deep knowledge of math, probability, statistics and algorithms. Proficiency with Python and basic libraries for machine learning such as scikit-learn and pandas. Knowledge in R or Java is a plus. Proficiency in TensorFlow or Keras and OpenCV is a plus. Excellent communication skills. Team player. Outstanding analytical and problem-solving skill. Familiarity with Linux environment. Low to medium familiarity with JIRA, GIT, Nexus, Jenkins etc is a plus. Minimum educational qualification: BE/B.Tech or similar degree in relevant field. The skills youll need Troubleshooting Agile Development Database Design/Development Debugging Programming/Scripting Microservices/Service Oriented Architecture Version Control IT Security Cloud Computing Continuous Integration/Continuous Deployment Automation & Orchestration Software Testing Application Development Algorithm Design Software Development Lifecycle Decision Making Growth Mindset Inclusive Leadership

Job Title: Senior ML Engineer Minimum 4 to 8+ years of experience in ML development in Product Based Company Location: Bangalore (Onsite) Why should you choose us? Rakuten Symphony is a Rakuten Group company, that provides global B2B services for the mobile telco industry and enables next-generation, cloud-based, international mobile services. Building on the technology Rakuten used to launch Japan’s newest mobile network, we are taking our mobile offering global. To support our ambitions to provide an innovative cloud-native telco platform for our customers, Rakuten Symphony is looking to recruit and develop top talent from around the globe. We are looking for individuals to join our team across all functional areas of our business – from sales to engineering, support functions to product development. Let’s build the future of mobile telecommunications together! Required Skills and Expertise: Candidate Must have exp. Working in Product Based Company. Should be able to Build, train, and optimize deep learning models with TensorFlow, Keras, PyTorch, and Transformers. Should have exp. In Manipulate and analyse large-scale datasets using Python, Pandas, Numpy, Dask Apply advanced fine-tuning techniques (Full Fine-Tuning, PEFT) and strategies to large language and vision models. Implement and evaluate classical machine learning algorithms using scikit-learn, statsmodels, XGBoost etc. Develop and deploy scalable APIs for ML models using FastAPI. Should have exp. In performing data visualization and exploratory data analysis with Matplotlib, Seaborn, Plotly, and Bokeh. Collaborate with cross-functional teams to deliver end-to-end ML solutions. Deploy machine learning models for diverse business applications over the cloud native and on-premise Hands-on experience with Docker for containerization and Kubernetes for orchestration and scalable deployment of ML models. Familiarity with CI/CD pipelines and best practices for deploying and monitoring ML models in production. Stay current with the latest advancements in machine learning, deep learning, and AI. Our commitment to you: - Rakuten Group’s mission is to contribute to society by creating value through innovation and entrepreneurship. By providing high-quality services that help our users and partners grow, - We aim to advance and enrich society. - To fulfill our role as a Global Innovation Company, we are committed to maximizing both corporate and shareholder value. RAKUTEN SHUGI PRINCIPLES: Our worldwide practices describe specific behaviours that make Rakuten unique and united across the world. We expect Rakuten employees to model these 5 Shugi Principles of Success. Always improve, always advance . Only be satisfied with complete success - Kaizen. Be passionately professional . Take an uncompromising approach to your work and be determined to be the best. Hypothesize - Practice - Validate - Shikumika. Use the Rakuten Cycle to success in unknown territory. Maximize Customer Satisfaction . The greatest satisfaction for workers in a service industry is to see their customers smile. Speed!! Speed!! Speed!! Always be conscious of time. Take charge, set clear goals, and engage your team.

About Us: We are an innovative and fast-growing company focused on leveraging cutting-edge technology to explore new opportunities in various industries. Our focus is on applying artificial intelligence (AI) and large language models (LLMs) to solve real-world business challenges. Job Description: We are seeking motivated and independent AI & LLM interns to help explore and develop AI-driven solutions. This internship offers the chance to work on AI projects that involve natural language processing (NLP), machine learning, and large language models, providing real-world applications for these technologies. Key Responsibilities: Independently explore and experiment with LLM models to identify potential applications and opportunities. Develop and fine-tune AI models using transformer architectures (e.g., GPT, BERT, etc.). Conduct research on emerging AI and NLP trends to identify new areas for growth. Analyze and interpret data sets to train AI models. Work on building prototype AI solutions for potential business applications. Document findings, processes, and recommendations for future projects. Creating AI agents using available tools in market including ChatGPT & Claude Qualifications: Currently pursuing or recently completed a degree in Computer Science, Data Science, Artificial Intelligence, or a related field. Strong understanding of machine learning algorithms, natural language processing, and deep learning models. Experience with Python and relevant libraries (e.g., TensorFlow, PyTorch, Hugging Face). Familiarity with transformer models and their applications. Strong analytical and problem-solving skills. Ability to work independently and manage tasks with minimal supervision. Eagerness to learn and stay updated with emerging AI trends. What We Offer: Hands-on experience working with real-world AI/LLM applications. Opportunities to contribute to innovative AI projects.

Description- Where elite tech talent meets world-class opportunities! At Xenon7, we work with leading enterprises and innovative startups on exciting, cutting-edge projects that leverage the latest technologies across various domains of IT including Data, Web, Infrastructure, AI, and many others. Our expertise in IT solutions development and on-demand resources allows us to partner with clients on transformative initiatives, driving innovation and business growth. Whether it's empowering global organizations or collaborating with trailblazing startups, we are committed to delivering advanced, impactful solutions that meet today's most complex challenges. We are building a community of top-tier experts and we're opening the doors to an exclusive group of exceptional Data Scientists who are ready to solve real-world problems and shape the future of intelligent systems. Structured Onboarding Process- To ensure high-quality contributions and meaningful engagement, the community follows a structured onboarding process: Screening - Review applicants based on 10+ years of experience, expertise in Python, ML techniques, deep learning frameworks, and end-to-end model deployment Technical Assessment - Evaluate through problem-solving exercises, real-world use case discussions, ML optimization challenges, or code review Interview & Alignment - Conduct a conversation to assess collaboration mindset, innovation potential, and contribution to community goals Ready to Join the Revolution? Become part of Xenon7's Elite Data Science Community, where your skills are respected, your time is valued, and your work creates real-world change. Requirements Who Are We Looking For- Data Scientists are the architects of insight, the minds behind machine learning, the storytellers of numbers. They turn complex datasets into business-driving decisions using statistics, algorithms, machine learning, and engineering to discover hidden patterns, automate systems, and unlock value. At Xenon7, our Data Scientists don't just analyze data- they lead innovation. We're building a handpicked community of impact-driven Data Science professionals who are: 10+ years experienced in Data Science or Machine Learning roles Skilled in Python and tools like NumPy, SciPy, Pandas, XGBoost Experts in ML techniques: regression, classification, clustering Proficient with deep learning frameworks (TensorFlow, Keras, PyTorch) Strong in data pipelines, ETL/ELT processes, and large-scale datasets Experienced in mentoring or leading data teams Passionate about solving real business challenges through data Preferred (but not mandatory): A PhD in a relevant field will be an added advantage Benefits Why You Should Join Us- We're building a trust-based, expert-driven collective where we bring the projects and you bring the expertise. No spam, no endless listings. Just curated, high-impact projects that match your skillset and ambition We understand the value of your time, expertise, and independence. You're a strategic partner in solving real business challenges Work with leading healthcare enterprises, innovative startups, and digital disruptors. We connect you to projects where your contribution truly matters Get paid in USD, with clear, timely, and reliable payment structures, so you focus on delivering impact, not chasing invoices Pick the projects that align with your interests and availability. No long-term lock-ins, no pressure, you work when and how it suits you Join global teams and collaborate remotely with the best minds across industries, all from the comfort of your chosen workspace Engage with a community of top-tier professionals. Exchange knowledge, share ideas, and grow with every collaboration

Navaera Worldwide is a global, full-service firm that specializes in advanced knowledge management products and services designed to help Financial organizations improve operational efficiency, Manage Risk, Detect Fraud and gain competitive advantage. The privately held company has diverse clients around the world including major corporations in the financial services industry. As a brand, Navaera Worldwide provides complex business products and solutions to small and large organizations through Navaera Global Services. Navaera Worldwide has offices located in three continents with global headquarter based in New York. Other offices are in Toronto, Canada & Baroda, India. Designation: AI/ML (Associate Role) Experience Range: 2 Year to 4 Years Roles and Responsibilities: · Should be able to work in the areas of Data Analytics, Computer vision, NLP, OCR related task. · Data collection, Dataset preparation, Architecture modeling, model training/testing and deployment · Should have experience in handling digital data extraction and processing · Should be able to create training as well testing pipeline with different aspects of data · Must have experience in creating model architecture from scratch as well strong enough to transform pre-trained models · Should be very well equipped with the latest AI trend to keep the process up to date · Identify opportunities for process improvements, recommend system modifications. · Working with minimum of technical supervision and supplemental engineering support, while responding efficiently to multiple program priorities · Working well in a team environment and being able to effectively drive cross-team solutions that have complex dependencies and requirements · Experience with some of these methods: Regression, Decision Trees, CART, Random Forest, Boosting, Evolutionary Programming, Neural Networks, Fuzzy Systems, Bayesian Belief Networks, Support Vector Machines, Ensemble Methods, Association Rules, Singular Value Decomposition, Principal Component Analysis, Clustering, Artificial Intelligence, Deep learning etc Requisites: · B.E./B.Tech in Computer Science/Statistics/IT/ECE stream - M.S. or Ph.D. in Applied Mathematics, Statistics, Computer Science, Operations Research, Economics, or equivalent · Ex5perience in C/C++/Java/Python for developing machine learning/deep learning solutions · 2-4 years of experience in data science, machine learning/Deep learning · 2-4 years of experience in building and deploying Machine Learning solutions using various supervised/unsupervised ML algorithms · 2-4 years of hands-on experience with Python and any framework such as TensorFlow, PyTorch or MXnet along with ML libraries such as scikit-learn, NumPy, pandas, Keras etc, and/or natural language processing using NLTK, spaCy, Gensim, etc. · Good communication and interpersonal skills. · Experience in decision science tools and techniques will be added advantage · Strong problem solving and conceptual thinking, with ability to communicate even complex ideas in a succinct manner · Ability to work in a fast-paced and deadline driven environment · Strong work ethics like sense of collaboration and ownership. Job Type: Full-time Pay: ₹40,000.00 - ₹80,000.00 per month Benefits: Health insurance Provident Fund Schedule: Day shift Monday to Friday Application Question(s): Total how many years of experience do you have in AI/ML? Are you ready to work from office and relocate to Vadodara Gujarat? What is your notice period in days? What is your current annual CTC? What is your expected annual CTC? Work Location: In person

Arcitech Turbhe, Maharashtra, India On-site Full-time 2-3 Years experience required Posted 24 days ago About Company Arcitech AI, located in Mumbai's bustling Lower Parel, is a trailblazer in software and IT, specializing in software development, AI, mobile apps, and integrative solutions. Committed to excellence and innovation, Arcitech AI offers incredible growth opportunities for team members. Enjoy unique perks like weekends off and a provident fund. Our vibrant culture is friendly and cooperative, fostering a dynamic work environment that inspires creativity and forward-thinking. Join us to shape the future of technology. A-806, 2nd floor, Trade Link, Kamala Mills, Lower Parel, Mumbai, Maharashtra 400013, India About Us Arcitech.ai is at the forefront of AI-integrated software and platform development. We build scalable, cloud-native applications for education, recruitment, marketplaces and more. Join us to work on cutting-edge projects and help shape the future of AI-driven products. Responsibilities Design, develop and maintain Python applications with a focus on clean, efficient, and well-tested code. Build and consume RESTful or GraphQL APIs following best practices. Containerize microservices using Docker and collaborate on Kubernetes deployments. Implement and monitor background tasks with Celery, including retry strategies and alerting. Integrate third-party services via webhooks (e.g., Stripe, Razorpay). Set up WebSocket consumers using Django Channels to power real-time features. Configure AWS infrastructure as code (EC2, S3, RDS), manage backups and monitoring through CloudWatch. Write unit and integration tests (pytest or unittest) to achieve and maintain 80% coverage. Follow Git branching strategies and contribute to CI/CD pipeline definitions. Participate in daily tech-talks, knowledge-sharing sessions, and code reviews. Required Qualifications Bachelor’s degree in Computer Science or a related field. 2–3 years of professional experience working primarily in Python. Strong proficiency with Python standard library and common packages (e.g., NumPy). Solid experience designing and consuming RESTful/GraphQL APIs. Hands-on experience with Docker and at least one cloud platform (AWS or Azure). Proven track record of writing tests with pytest or unittest frameworks. Familiarity with Git workflows and CI/CD best practices. Excellent problem-solving skills and clear communication. Preferred (But Not Required) Experience with AI/ML frameworks such as TensorFlow, Keras or PyTorch. Prior work with the Django web framework. Understanding of machine learning concepts (neural networks, computer vision, reinforcement learning). Background in data analysis, statistics, or applied mathematics. Exposure to Celery task queues and real-time application patterns. Contributions to open-source Python or AI projects. What We Offer Competitive salary and benefits package. Opportunity to work on innovative AI and web-development initiatives. A collaborative culture that values continuous learning and skill growth.