4446 Tensorflow Jobs - Page 4

About Knowdis.ai Knowdis.ai is an AI-first company specializing in e-commerce applications. We harness the power of machine learning and AI to enhance e-commerce operations, optimize customer experiences, and drive growth. If you are passionate about AI-driven product innovation, this is the perfect opportunity to make a meaningful impact. Key Responsibilities: - Infrastructure Management: Build scalable and robust infrastructure for ML models, ensuring seamless production integration. - CI/CD Expertise: Develop and maintain CI/CD pipelines with a focus on ML model deployment. - Model Deployment and Monitoring: Deploy ML models using TensorFlow Serving, Pytorch Serving, Triton Inference Server, or TensorRT and monitor their performance in production. - Collaboration: Work closely with data scientists and software engineers to transition ML models from research to production. - Security and Compliance: Uphold security protocols and ensure regulatory compliance in ML systems. Skills and Experience Required: - Proficiency in Docker and Kubernetes for containerization and orchestration. - Experience with CI/CD pipeline development and maintenance. - Experience in deploying ML models using TensorFlow Serving, Pytorch Serving, Triton Inference Server, and TensorRT. - Experience with cloud platforms like AWS, Azure, and GCP. - Strong problem-solving, communication, and teamwork skills. Qualifications: - Bachelor’s/Master’s degree in Computer Science, Engineering, or a related field. - 4-6 years of experience in ML project management, with a recent focus on MLOps. Additional Competencies: - AI Technologies Deployment, Data Engineering, IT Performance, Scalability Testing, and Security Practices. SELECTION PROCESS: Interested Candidates are mandatorily required to apply through this listing on Jigya. Only applications received through Jigya will be evaluated further. Shortlisted candidates may be required to appear in an Online Assessment administered by Jigya on behalf of the Client. Candidates selected after the screening test will be interviewed by the Client Show more Show less

We are looking for a highly skilled and motivated Data Scientist with deep experience in building recommendation systems to join our team. This role demands expertise in deep learning, embedding-based retrieval, and the Google Cloud Platform (GCP). You will play a critical role in developing intelligent systems that enhance user experiences through personalized content discovery. Key Responsibilities: Develop, train, and deploy recommendation models using two-tower, multi-tower, and cross-encoder architectures . Generate and utilize text/image embeddings (e.g., CLIP , BERT , Sentence Transformers ) for content-based recommendations. Design semantic similarity search pipelines using vector databases (FAISS, ScaNN, Qdrant, Matching Engine). Create and manage scalable ML pipelines using Vertex AI , Kubeflow Pipelines , and GKE . Handle large-scale data preparation and feature engineering using Dataproc (PySpark) and Dataflow . Implement cold-start strategies leveraging metadata and multimodal embeddings. Work on user modeling , temporal personalization , and re-ranking strategies . Run A/B tests and interpret results to measure real-world impact. Collaborate with cross-functional teams (Engineering, Product, DevOps) for model deployment and monitoring. Must-Have Skills: Strong command of Python and ML libraries: pandas, polars, numpy, scikit-learn, matplotlib, tensorflow, torch, transformers. Deep understanding of modern recommender systems and embedding-based retrieval . Experience with TensorFlow , Keras , or PyTorch for building deep learning models. Hands-on with semantic search , ANN search , and real-time vector matching . Proven experience with Vertex AI , Kubeflow on GKE , and ML pipeline orchestration. Familiarity with vector DBs such as Qdrant , FAISS , ScaNN , or Matching Engine on GCP. Experience in deploying models via Vertex AI Online Prediction , TF Serving , or Cloud Run . Knowledge of feature stores , embedding versioning , and MLOps practices (CI/CD, monitoring). Preferred / Good to Have: Experience with ranking models (e.g., XGBoost , LightGBM , DLRM ) for candidate scoring. Exposure to LLM-powered personalization or hybrid retrieval systems. Familiarity with streaming pipelines using Pub/Sub , Dataflow , Cloud Functions . Hands-on with multi-modal retrieval (text + image + tabular data). Strong grasp of cold-start problem solving , using enriched metadata and embeddings. GCP Stack You’ll Work With: ML & Pipelines: Vertex AI, Vertex Pipelines, Kubeflow on GKE Embedding & Retrieval: Matching Engine, Qdrant, FAISS, ScaNN, Milvus Processing: Dataproc (PySpark), Dataflow Ingestion & Serving: Pub/Sub, Cloud Functions, Cloud Run, TF Serving CI/CD & Automation: GitHub Actions, GitLab CI, Terraform Show more Show less

JOB DESCRIPTION : We are seeking a skilled and innovative AI Automation Specialist to lead and implement intelligent automation solutions across our organization. The ideal candidate will have a strong background in AI, machine learning, and robotic process automation (RPA), and a passion for streamlining processes to increase efficiency, reduce costs, and improve accuracy KEY RESPONSIBILITIES Identify opportunities for automation using AI, ML, and RPA technologies across business functions. Design, develop, and deploy scalable automation solutions, integrating AI models where appropriate. Collaborate with cross-functional teams (IT, operations, data science, etc.) to gather requirements and implement automation strategies. Evaluate existing workflows and optimize them through intelligent automation tools like UiPath, Automation Anywhere, Blue Prism, or custom Python/R-based scripts. Build and train machine learning models to support decision automation. Monitor and maintain automation solutions to ensure stability and performance. Document processes, code, and workflows to ensure maintainability and knowledge sharing. Stay up to date on AI and automation trends, tools, and best practices. REQUIRED QUALIFICATIONS : Bachelor’s or Master’s degree in Computer Science, Engineering, Data Science, or related field. Proven experience in implementing RPA or AI-driven automation solutions. Proficiency in programming languages such as Python, JavaScript, or Java. Experience with AI/ML frameworks (e.g., TensorFlow, PyTorch, Scikit-learn). Knowledge of automation platforms (e.g., UiPath, Automation Anywhere, Power Automate). Strong problem-solving skills and the ability to think analytically. Excellent communication and project management skills. PREFERRED QUALIFICATION : Certification in RPA tools (e.g., UiPath Developer Advanced, Automation Anywhere Certified RPA Professional). Experience with cloud-based AI services (AWS, Azure AI, Google Cloud AI). Knowledge of process mining tools (e.g., Celonis, Minit). Familiarity with APIs, webhooks, and microservices architectures. FOR IMMEDIATE RESPONSE PLEASE SEND YOUR UPDATED CV TO : arun@qapsoftware.com Show more Show less

About the Role: We are seeking a highly skilled and hands-on GenAI expert to join our team and help shape our AI strategy from the ground up. The ideal candidate will not only bring deep technical knowledge but also a product-first mindset and a passion for delivering value through responsible and efficient AI deployment. This is a high-impact role with the potential to lead and build a team around. Key Responsibilities: Develop and refine GenAI applications leveraging foundation models (LLMs, VLMs) for real-world use cases. Fine-tune foundation models using proprietary and domain-specific data to enhance model relevance and performance. Own the full AI lifecycle including experimentation, evaluation, production readiness, and value realization. Define and track key AI metrics; implement monitoring and feedback loops to measure model effectiveness post-deployment. Apply traditional ML techniques (clustering, classification, vector search) as complementary strategies where appropriate. Build and deploy AI agent frameworks that can autonomously interact with tools, data stores, and other models to solve tasks end-to-end. Collaborate cross-functionally to integrate GenAI systems into existing platforms, ensuring scalability, efficiency, and business alignment. Ask the right questions to iterate, refine, and evolve AI solutions. Qualifications: Proven experience building GenAI-powered applications using LLMs, VLMs, and custom pipelines. Strong knowledge of model fine-tuning techniques and prompt engineering using proprietary data. Practical understanding of AI productization, lifecycle, metrics, and monitoring strategies. Hands-on experience with AI agent frameworks and related orchestration tools. Ability to articulate technical solutions, integration patterns, and tradeoffs effectively. Experience with Python, ML libraries (e.g., Hugging Face, LangChain, PyTorch, TensorFlow), and deployment in cloud environments (AWS, Azure, GCP). Preferred: Experience in a startup or innovation lab environment. Familiarity with vector databases (e.g., Pinecone, FAISS) and retrieval-augmented generation (RAG). Exposure to ethical AI, model interpretability, and responsible deployment practices. Show more Show less

Orion Innovation is a premier, award-winning, global business and technology services firm. Orion delivers game-changing business transformation and product development rooted in digital strategy, experience design, and engineering, with a unique combination of agility, scale, and maturity. We work with a wide range of clients across many industries including financial services, professional services, telecommunications and media, consumer products, automotive, industrial automation, professional sports and entertainment, life sciences, ecommerce, and education. Summary We are looking for a highly experienced Senior Technical Architect – Gen AI/ML who will play a key role in shaping and driving the architecture and technology strategy for Generative AI and Machine Learning based applications. This is a hands-on leadership role requiring deep technical expertise in AI/ML, strong knowledge of cloud platforms (preferably Microsoft Azure), and the ability to design scalable, secure, and high-performance systems. The ideal candidate is a solution visionary and technical leader who can partner with cross-functional teams to define, design, and deliver cutting-edge AI-driven solutions. Key Responsibilities Solution Architecture & Design Architect end-to-end AI/ML and Gen AI solutions tailored to business needs across multiple domains. Define system architecture, technology stack, and integration strategy for AI-enabled products and platforms. Establish architecture best practices, reusable components, and reference implementations. Hands-on Implementation Lead from the front with prototyping, POCs, and reference models using tools like Azure OpenAI, Hugging Face, LangChain, MLflow, PyTorch, TensorFlow, etc. Drive integration of AI/LLM solutions (RAG, multi-agent systems, embeddings, etc.) into enterprise applications. Evaluate and optimize model performance using advanced metrics and testing. Ensure performance tuning, security, scalability, and reliability of AI solutions. Cloud & MLOps Leverage Azure cloud services such as Azure Machine Learning, Azure OpenAI, Cognitive Services, Azure Kubernetes Service, etc. Design and implement CI/CD pipelines, model versioning, deployment, monitoring, and governance frameworks using MLOps best practices. Technical Skills Strong expertise in Generative AI, LLMs, and ML/DL models. GenAI & LLMs: RAG, LangChain, LangGraph, LlamaIndex, Semantic Kernel, CrewAI, Autogen, TaskWeave RAG Evaluation with experience in RAGA frameworks, DeepEval Hands-on with Azure AI stack – Azure OpenAI, Azure ML, Cognitive Services, Synapse, AKS, with familiarity in AWS/GCP as a plus Proficient in Python, C#, Microservices, PyTorch, TensorFlow, LangChain, Vector DBs (Pinecone, LanceDB, FAISS, etc.) Solid understanding of model fine-tuning, prompt engineering, RLHF, and embedding techniques. Deep experience in designing and deploying ML/AI pipelines using Azure, MLOps, Docker, Kubernetes, and API Gateways. Goos understanding of LLM-powered agents, toolchains (e.g., LangChain Agents, Semantic Kernel), and how to embed reasoning and memory into AI-driven solutions. Experience designing and implementing MCP-based orchestration layers to modularize and scale interactions with LLMs and Gen AI components. Experience 10+ years in software architecture and enterprise application development. 3+ years of experience leading Gen AI / ML solutions in production environments. Experience with enterprise-grade solutioning, technical due diligence, and stakeholder management. Proven record of working on Brownfield project. Orion is an equal opportunity employer, and all qualified applicants will receive consideration for employment without regard to race, color, creed, religion, sex, sexual orientation, gender identity or expression, pregnancy, age, national origin, citizenship status, disability status, genetic information, protected veteran status, or any other characteristic protected by law. Candidate Privacy Policy Orion Systems Integrators, LLC And Its Subsidiaries And Its Affiliates (collectively, “Orion,” “we” Or “us”) Are Committed To Protecting Your Privacy. This Candidate Privacy Policy (orioninc.com) (“Notice”) Explains What information we collect during our application and recruitment process and why we collect it; How we handle that information; and How to access and update that information. Your use of Orion services is governed by any applicable terms in this notice and our general Privacy Policy. Show more Show less

Machine Learning Intern (Paid) Company: Unified Mentor Location: Remote Duration: 3 months Opportunity: Full-time based on performance, with Certificate of Internship Application Deadline : 17th June 2025 About Unified Mentor Unified Mentor provides students and graduates with hands-on learning opportunities and career growth in Machine Learning and Data Science. Role Overview As a Machine Learning Intern, you will work on real-world projects, enhancing your practical skills in data analysis and model development. Responsibilities ✅ Design, test, and optimize machine learning models ✅ Analyze and preprocess datasets ✅ Develop algorithms and predictive models ✅ Use tools like TensorFlow, PyTorch, and Scikit-learn ✅ Document findings and create reports Requirements 🎓 Enrolled in or a graduate of a relevant program (Computer Science, AI, Data Science, or related field) 🧠 Knowledge of machine learning concepts and algorithms 💻 Proficiency in Python or R (preferred) 🤝 Strong analytical and teamwork skills Benefits 💰 Stipend: ₹7,500 - ₹15,000 (Performance-Based) (Paid) ✔ Hands-on machine learning experience ✔ Internship Certificate & Letter of Recommendation ✔ Real-world project contributions for your portfolio Equal Opportunity Unified Mentor is an equal-opportunity employer, welcoming candidates from all backgrounds. Show more Show less

Machine Learning Intern (Paid) Company: WebBoost Solutions by UM Location: Remote Duration: 3 months Opportunity: Full-time based on performance, with a Certificate of Internship Application Deadline: 17th June 2025 About WebBoost Solutions by UM WebBoost Solutions by UM provides students and graduates with hands-on learning and career growth opportunities in machine learning and data science . Role Overview As a Machine Learning Intern , you’ll work on real-world projects , gaining practical experience in machine learning and data analysis . Responsibilities ✅ Design, test, and optimize machine learning models. ✅ Analyze and preprocess datasets. ✅ Develop algorithms and predictive models for various applications. ✅ Use tools like TensorFlow, PyTorch, and Scikit-learn . ✅ Document findings and create reports to present insights. Requirements 🎓 Enrolled in or graduate of a relevant program (AI, ML, Data Science, Computer Science, or related field) 📊 Knowledge of machine learning concepts and algorithms . 🐍 Proficiency in Python or R (preferred). 🤝 Strong analytical and teamwork skills . Benefits 💰 Stipend: ₹7,500 - ₹15,000 (Performance-Based) (Paid) ✔ Practical machine learning experience . ✔ Internship Certificate & Letter of Recommendation . ✔ Build your portfolio with real-world projects . Equal Opportunity WebBoost Solutions by UM is an equal opportunity employer , welcoming candidates from all backgrounds . Show more Show less

Machine Learning Intern (Paid) Company: WebBoost Solutions by UM Location: Remote Duration: 3 months Opportunity: Full-time based on performance, with a Certificate of Internship Application Deadline: 17th June 2025 About WebBoost Solutions by UM WebBoost Solutions by UM provides students and graduates with hands-on learning and career growth opportunities in machine learning and data science . Role Overview As a Machine Learning Intern , you’ll work on real-world projects , gaining practical experience in machine learning and data analysis . Responsibilities ✅ Design, test, and optimize machine learning models. ✅ Analyze and preprocess datasets. ✅ Develop algorithms and predictive models for various applications. ✅ Use tools like TensorFlow, PyTorch, and Scikit-learn . ✅ Document findings and create reports to present insights. Requirements 🎓 Enrolled in or graduate of a relevant program (AI, ML, Data Science, Computer Science, or related field) 📊 Knowledge of machine learning concepts and algorithms . 🐍 Proficiency in Python or R (preferred). 🤝 Strong analytical and teamwork skills . Benefits 💰 Stipend: ₹7,500 - ₹15,000 (Performance-Based) (Paid) ✔ Practical machine learning experience . ✔ Internship Certificate & Letter of Recommendation . ✔ Build your portfolio with real-world projects . Equal Opportunity WebBoost Solutions by UM is an equal opportunity employer , welcoming candidates from all backgrounds . Show more Show less

A data scientist collects and analyzes large datasets to uncover insights and create solutions that support organizational goals. They combine technical, analytical, and communication skills to interpret data and influence decision-making. Key Responsibilities: Gather data from multiple sources and prepare it for analysis. Analyze large volumes of structured and unstructured data to identify trends and patterns. Develop machine learning models and predictive algorithms to solve business problems. Use statistical techniques to validate findings and ensure accuracy. Automate processes using AI tools and programming. Create clear, engaging visualizations and reports to communicate results. Work closely with different teams to apply data-driven insights. Stay updated with the latest tools, technologies, and methods in data science. Tools and Technologies: Programming languages: Python, R, SQL. Data visualization: Tableau, Power BI, matplotlib. Machine learning frameworks: TensorFlow, Scikit-learn, PyTorch. Big data platforms: Apache Hadoop, Spark. Cloud platforms: AWS, Azure, Google Cloud. Statistical tools: SAS, SPSS. Job Type: Full-time Pay: ₹9,938.89 - ₹30,790.14 per month Schedule: Day shift Monday to Friday Morning shift Weekend availability Supplemental Pay: Performance bonus Application Question(s): Are you a immediate joiner? Location: Trichinapalli, Tamil Nadu (Preferred) Work Location: In person Application Deadline: 19/06/2025 Expected Start Date: 19/06/2025

We are seeking a data scientist with strong technical expertise in machine learning and statistical analysis to develop and deploy impactful data solutions. The role involves designing and implementing predictive models (e.g., regression, classification, NLP, time series), collaborating with stakeholders to solve business problems, and driving strategic decisions through experimentation and data-driven insights Job Description: Key responsibilities: Modeling & Machine Learning Design and implement robust machine learning solutions (e.g., regression, classification, NLP, time series, recommendation systems). Evaluate and tune models using appropriate metrics (AUC, RMSE, precision/recall, etc.). Work on feature engineering, model interpretability, and performance optimization. Data-Driven Business Strategy Partner with stakeholders to identify key opportunities where data science can drive business value. Translate business problems into data science projects with clearly defined deliverables and success metrics. Provide actionable recommendations based on data analysis and model outputs. Analytics and Experimentation Conduct deep-dive exploratory analysis to uncover trends and insights. Apply statistical methods to test hypotheses, forecast trends, and measure campaign effectiveness Design and analyze A/B tests and other experiments to support product and marketing decisions. Automate data pipelines and dashboards for ongoing monitoring of model and business performance. Technical Skills: Languages: Proficient in Python, MySQL. Libraries/Frameworks: scikit-learn, Pandas, NumPy, Time series, ARIMA, Bayesian model, Market Mix model, Regression, XGBoost, LightGBM, TensorFlow, PyTorch. Statistical Method: Proficient in statistical techniques such as hypothesis testing, regression analysis, time-series analysis Databases : PostgreSQL, BigQuery, MySQL. Visualization: Plotly, Seaborn, Matplotlib. Deployment: Experience in Gitlab, CI/CD pipelines(Good to have). Cloud Platforms: Familiarity with AWS, GCP, or Azure services(Good to have). Location: Chennai Brand: Paragon Time Type: Full time Contract Type: Permanent Show more Show less

Job Description: AI Engineering Manager Position Overview: We are seeking an experienced AI Engineering Manager to lead our AI projects and drive innovation in deep learning applications. The ideal candidate will have a strong background in the latest deep learning architectures, including Convolutional Neural Networks (CNNs) and Transformers, and possess project management experience in overseeing AI initiatives. Key Responsibilities:  Lead the design, development, and deployment of AI solutions, ensuring alignment with organizational goals.  Manage AI projects from inception to completion, coordinating cross-functional teams and resources effectively.  Oversee the implementation of deep learning algorithms for various applications, particularly in medical image analysis.  Mentor and guide team members, fostering a collaborative and innovative work environment.  Ensure high-quality code development in Python, C, or C++, with a strong understanding of object-oriented programming concepts. Qualifications:  Proven experience in managing AI projects and teams.  Strong knowledge of deep learning architectures such as CNNs and Transformers.  Prior experience in the medical image analysis field is preferred.  Proficiency in programming languages including Python, C, and C++.  Experience in people management and team leadership. Preferred Skills:  Familiarity with machine learning frameworks (e.g., TensorFlow, PyTorch).  Excellent communication skills and the ability to work collaboratively across teams.  Candidates with publications in conferences such as ICCV, ICPR, ICIP, ISBI, MICCAI, MIDL, NeurIPS, and CVPR are preferred. Show more Show less

About Pocket Entertainment Pocket Entertainment is revolutionizing entertainment through immersive storytelling. With millions of users worldwide, we're building the future of entertainment — blending human creativity with cutting-edge AI. Now, we’re expanding our global footprint. Let’s reimagine global entertainment — powered by AI and fueled by imagination. Work on category-defining AI products reshaping entertainment that operate at massive scale: millions of users, billions of minutes consumed. Collaborate with some of the best engineers, AI researchers, and creators globally. Mission of the role As a Senior Principal Data Scientist at Pocket FM, you will play a pivotal role in driving innovation in recommendation systems , user personalization , and content strategy . You will lead high-impact initiatives to understand user behavior, predict preferences, and enhance engagement through intelligent content delivery. This is a hands-on leadership role where you will set the technical vision, guide the roadmap, influence strategy, and mentor a high-performing data science team. Key responsibilities: Design and deploy machine learning models for recommendations, personalization, ranking, and user behavior prediction Tackle high-impact challenges across personalization, churn prediction, LTV modeling, creator analytics, and platform growth Partner with engineering, product, and content teams to align modeling efforts with business impact Lead the full ML lifecycle: prototyping, experimentation, A/B testing, deployment, and monitoring Translate large-scale user behavior data into actionable insights and strategies for content discovery and retention Mentor and guide junior and senior data scientists, fostering a culture of technical excellence, innovation, and continuous learning Conduct in-depth data analysis and exploratory research to uncover actionable insights, understand user trends, and identify new opportunities for product improvement and growth Drive MLOps best practices including model monitoring, versioning, and lifecycle management Stay current with advances in ML/NLP and apply them to improve recommendation quality and user satisfaction Qualifications: Advanced degree (PhD or Master’s) in CS, ML, Stats, or related field 12+ years of experience building and deploying ML models in production Expertise in recommender systems, personalization, ranking, or user modeling Strong Python skills and deep experience with ML frameworks (e.g., PyTorch, TensorFlow, XGBoost) Solid grounding in experimentation, A/B testing, and statistical inference Experience with big data tools (Spark, Databricks) and cloud platforms (AWS/GCP) Strong analytical and creative problem-solving skills Strong communication and cross-functional collaboration skills Bonus Points: Experience with NLP techniques applied to text or audio data Contributions to open-source ML projects or research publications Familiarity with generative AI models and their applications Show more Show less

Machine Learning Intern (Paid) Company: Unified Mentor Location: Remote Duration: 3 months Opportunity: Full-time based on performance, with Certificate of Internship Application Deadline : 17th June 2025 About Unified Mentor Unified Mentor provides students and graduates with hands-on learning opportunities and career growth in Machine Learning and Data Science. Role Overview As a Machine Learning Intern, you will work on real-world projects, enhancing your practical skills in data analysis and model development. Responsibilities ✅ Design, test, and optimize machine learning models ✅ Analyze and preprocess datasets ✅ Develop algorithms and predictive models ✅ Use tools like TensorFlow, PyTorch, and Scikit-learn ✅ Document findings and create reports Requirements 🎓 Enrolled in or a graduate of a relevant program (Computer Science, AI, Data Science, or related field) 🧠 Knowledge of machine learning concepts and algorithms 💻 Proficiency in Python or R (preferred) 🤝 Strong analytical and teamwork skills Benefits 💰 Stipend: ₹7,500 - ₹15,000 (Performance-Based) (Paid) ✔ Hands-on machine learning experience ✔ Internship Certificate & Letter of Recommendation ✔ Real-world project contributions for your portfolio Equal Opportunity Unified Mentor is an equal-opportunity employer, welcoming candidates from all backgrounds. Show more Show less

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. 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. Additional Skills: Confident body language and clear communication. Strong classroom management and discipline skills. Punctual, prepared, and passionate about teaching. Open to learning and professional development. Proficient in verbal and written communication. Strong problem-solving, leadership, and decision-making abilities. Positive attitude and ability to work independently. For further information, please feel free to contact 7862813693 us via email at career@rnwmultimedia.edu.in Job Types: Full-time, Permanent Pay: ₹30,000.00 - ₹35,000.00 per month Benefits: Cell phone reimbursement Flexible schedule Leave encashment Paid sick time Paid time off Schedule: Day shift Morning shift Supplemental Pay: Performance bonus Yearly bonus Application Question(s): Current Salary? Experience: Teaching / Mentoring: 1 year (Required) AI: 1 year (Required) ML: 1 year (Required) Data science: 1 year (Required) Location: Ahmedabad, Gujarat (Required) Work Location: In person

Client: Intra Edge Payroll: People Prime Job Description Title: ML/AI Engineer Location: Chennai Job Requirement: Machine Learning & AI Engineer specializing in semantic and image matching, entity resolution, and recommendation systems. Skilled in leveraging deep learning, NLP, and vector search technologies (CLIP, SBERT, FAISS) to build scalable and accurate product-matching solutions for e-commerce and B2B applications. Passionate about optimizing data-driven pricing strategies and enhancing customer experience through AI-powered solutions. Key Responsibilities: • Developed scalable product matching pipelines using CLIP, SBERT, MPNet, and FAISS for multi-modal (text + image) matching. • Implemented vector search & hybrid matching models combining deep learning and rule-based heuristics for high-accuracy matching. • Improved SKU normalization & deduplication for retail and B2B marketplaces, increasing match accuracy. • Designed a real-time product-matching API using Python, FastAPI for seamless integration across platforms. • Worked with PyTorch, TensorFlow, Scikit-learn, and Hugging Face Transformers to fine-tune models on large-scale product datasets. • Collaborated with business and data teams to integrate AI-driven pricing insights into dynamic pricing models. Requirements Required Skills & Qualification: • Experience: 5+ Years in Machine Learning, NLP, or Computer Vision. • Machine Learning: Strong knowledge of NLP, embedding, similarity search, clustering. • Tech Stack: Python, PyTorch/TensorFlow, FAISS, SQL, NoSQL. • Search & Retrieval: Experience with vector databases (FAISS, Pinecone, Weaviate, Elasticsearch). • Cloud & Deployment: Azure/GCP, MLOps, API development (FastAPI, Flask). • E-Commerce & Pricing: Understanding of Product matching models, search and recommendation models. Show more Show less

Our client is founded in 2002 with offices in the US, India, Europe, Canada, Singapore, Costa Rica, Brazil, and the UK they got national and international scope and reach, backed by decades of experience and deep domain expertise. They specialize in Products such as AI Governance/Data Privacy and Services such as Interactive (Product, Discovery, Research, User Journey, Prototyping), Talent, Cloud (Development, Transformation, SRE, Architecture), Engineering (Web, Mobile, Strategy), Enterprise (Salesforce, ServiceNow, SAP, Oracle, Microsoft, Workday), Training (Corporate Learning Design and Development), and building offshore cost-effective captive Global Capability Centers. Job Requirement: Machine Learning & AI Engineer specializing in semantic and image matching, entity resolution, and recommendation systems. Skilled in leveraging deep learning, NLP, and vector search technologies (CLIP, SBERT, FAISS) to build scalable and accurate product-matching solutions for e-commerce and B2B applications. Passionate about optimizing data-driven pricing strategies and enhancing customer experience through AI-powered solutions. Job Title : AI/ML Engineer Key Skills : Python, AI, ML, Azure Job Locations : Chennai Experience : 5 to 8 years Education Qualification : BE/B.Tech/Any other science disciplines Work Mode : Hybrid. Employment Type : Contract. Notice Period : Immediate - 15 Days Key Responsibilities: • Developed scalable product matching pipelines using CLIP, SBERT, MPNet, and FAISS for multi-modal (text + image) matching. • Implemented vector search & hybrid matching models combining deep learning and rule-based heuristics for high-accuracy matching. • Improved SKU normalization & deduplication for retail and B2B marketplaces, increasing match accuracy. • Designed a real-time product-matching API using Python, FastAPI for seamless integration across platforms. • Worked with PyTorch, TensorFlow, Scikit-learn, and Hugging Face Transformers to fine-tune models on large-scale product datasets. • Collaborated with business and data teams to integrate AI-driven pricing insights into dynamic pricing models. Required Skills & Qualification: • Experience: 5+ Years in Machine Learning, NLP, or Computer Vision. • Machine Learning: Strong knowledge of NLP, embedding, similarity search, clustering. • Tech Stack: Python, PyTorch/TensorFlow, FAISS, SQL, NoSQL. • Search & Retrieval: Experience with vector databases (FAISS, Pinecone, Weaviate, Elasticsearch). • Cloud & Deployment: Azure/GCP, MLOps, API development (FastAPI, Flask). • E-Commerce & Pricing: Understanding of Product matching models, search and recommendation models. Show more Show less

At Medtronic you can begin a life-long career of exploration and innovation, while helping champion healthcare access and equity for all. You’ll lead with purpose, breaking down barriers to innovation in a more connected, compassionate world. A Day in the Life As a Data Scientist, where you will develop and deploy machine learning models, conduct advanced analytics, and translate data-driven insights into business value. You will work closely with Finance, Engineering, and Business teams to drive data science initiatives and enhance decision-making. Data Scientist – Global Finance Analytics COE Careers that Change Lives Join our Global Finance Analytics Center of Excellence (COE) as a Data Scientist , where you will develop and deploy machine learning models, conduct advanced analytics, and translate data-driven insights into business value. You will work closely with Finance, Engineering, and Business teams to drive data science initiatives and enhance decision-making. This role requires an average of 2-3 days per week of overlapping work hours with the USA team to ensure seamless collaboration. A Day in the Life As a Data Scientist , you will: Develop and deploy AI/ML models for forecasting, anomaly detection, and optimization in financial and business analytics. Work with structured and unstructured data, ensuring data quality, feature engineering, and model interpretability. Collaborate with Data Engineers to build scalable data pipelines and integrate machine learning solutions into production systems. Perform exploratory data analysis (EDA) and statistical modeling to uncover insights and trends. Optimize algorithms for performance, scalability, and business relevance. Present complex findings in an understandable and actionable manner to senior stakeholders. Continuously explore new AI/ML methodologies and tools to enhance analytical capabilities. Must Have: Minimum Requirements Bachelor’s or Master’s degree in Data Science, Computer Science, Statistics, or a related field. 5+ years of experience in AI/ML, predictive modeling, and statistical analysis. Strong proficiency in Python, SQL, and cloud platforms (Azure, AWS, or GCP). Experience with machine learning frameworks such as TensorFlow, Scikit-Learn, PyTorch, or XGBoost. Exposure to financial data modeling and analytics. Strong problem-solving and critical-thinking skills. Nice to Have Experience working with Snowflake and large-scale data environments. Knowledge of NLP, deep learning, and AI-driven automation. Familiarity with Power BI for advanced data visualization. Physical Job Requirements The above statements are intended to describe the general nature and level of work being performed by employees assigned to this position, but they are not an exhaustive list of all the required responsibilities and skills of this position. Benefits & Compensation Medtronic offers a competitive Salary and flexible Benefits Package A commitment to our employees lives at the core of our values. We recognize their contributions. They share in the success they help to create. We offer a wide range of benefits, resources, and competitive compensation plans designed to support you at every career and life stage. About Medtronic We lead global healthcare technology and boldly attack the most challenging health problems facing humanity by searching out and finding solutions. Our Mission — to alleviate pain, restore health, and extend life — unites a global team of 95,000+ passionate people. We are engineers at heart— putting ambitious ideas to work to generate real solutions for real people. From the R&D lab, to the factory floor, to the conference room, every one of us experiments, creates, builds, improves and solves. We have the talent, diverse perspectives, and guts to engineer the extraordinary. Learn more about our business, mission, and our commitment to diversity here Show more Show less

Proficiency in ML frameworks (e.g., TensorFlow, PyTorch). Experience with natural language processing (NLP) and large language models (LLMs). Understanding of generative models and their applications. Proficiency in programming languages such as Python, Go, or Java. Experience in developing APIs and integrating AI models into existing systems. Familiarity with containerization tools (e.g., Docker, Kubernetes). Experience with (CI/CD) pipelines and databases or data lakes, and/or real-time data processing frameworks. Show more Show less

Company: Chicmic Studios Job Role: Python Machine Learning & AI Developer Experience Required: 3+ Years We are looking for a highly skilled and experienced Python Developer to join our dynamic team. The ideal candidate will have a robust background in developing web applications using Django and Flask, with expertise in deploying and managing applications on AWS. Proficiency in Django Rest Framework (DRF), a solid understanding of machine learning concepts, and hands-on experience with tools like PyTorch, TensorFlow, and transformer architectures are essential. Key Responsibilities Develop and maintain web applications using Django and Flask frameworks. Design and implement RESTful APIs using Django Rest Framework (DRF) Deploy, manage, and optimize applications on AWS services, including EC2, S3, RDS, Lambda, and CloudFormation. Build and integrate APIs for AI/ML models into existing systems. Create scalable machine learning models using frameworks like PyTorch , TensorFlow , and scikit-learn . Implement transformer architectures (e.g., BERT, GPT) for NLP and other advanced AI use cases. Optimize machine learning models through advanced techniques such as hyperparameter tuning, pruning, and quantization. Deploy and manage machine learning models in production environments using tools like TensorFlow Serving , TorchServe , and AWS SageMaker . Ensure the scalability, performance, and reliability of applications and deployed models. Collaborate with cross-functional teams to analyze requirements and deliver effective technical solutions. Write clean, maintainable, and efficient code following best practices. Conduct code reviews and provide constructive feedback to peers. Stay up-to-date with the latest industry trends and technologies, particularly in AI/ML. Required Skills and Qualifications Bachelor’s degree in Computer Science, Engineering, or a related field. 3+ years of professional experience as a Python Developer. Proficient in Python with a strong understanding of its ecosystem. Extensive experience with Django and Flask frameworks. Hands-on experience with AWS services for application deployment and management. Strong knowledge of Django Rest Framework (DRF) for building APIs. Expertise in machine learning frameworks such as PyTorch , TensorFlow , and scikit-learn . Experience with transformer architectures for NLP and advanced AI solutions. Solid understanding of SQL and NoSQL databases (e.g., PostgreSQL, MongoDB). Familiarity with MLOps practices for managing the machine learning lifecycle. Basic knowledge of front-end technologies (e.g., JavaScript, HTML, CSS) is a plus. Excellent problem-solving skills and the ability to work independently and as part of a team. Strong communication skills and the ability to articulate complex technical concepts to non-technical stakeholders. Contact : 9875952836 Office Location: F273, Phase 8b Industrial Area Mohali, Punjab. Job Type: Full-time Schedule: Day shift Monday to Friday Work Location: In person

Software Tester Internship - Unpaid 6 months internship Responsibilities Analyzing users stories /use cases/requirements for validity and feasibility. Execute test cases (manual or automated) and analyze results Design and develop automation scripts when needed Collaborate closely with other team members and departments Execute all levels of testing (System, Integration, and Regression) Detect and track software defects and inconsistencies Provide timely solutions Apply quality engineering principals throughout the Agile product lifecycle Create logs to document testing phases and defects Skills / requirements Familiarity / proficiency in C++, Python, Java, PHP or any other OOP based language. Familiarity in Selenium Familiarity with Agile frameworks and regression testing is a plus Ability to document and troubleshoot errors Attention to detail Analytical mind and problem-solving aptitude AI Tools - Amazon CodeGuru, ChatGPT, Core ML, GitHub Copilot, Mintlify, ML Kit, OpenCV, Otter.ai, PyTorch, Scribe, Snyk, Stepsize, Tabnine, TensorFlow, Uizard. Internship monthly Payment - Unpaid Internship Show more Show less

SmalBlu is the world’s first cross-layer AI platform that autonomously optimises enterprise data infrastructure across user, app, compute, network, database, and storage layers. Powered by LLM-powered agentic system and proprietary optimisation and compression technologies, SmalBlu helps enterprises cut cloud costs by 40%, carbon footprint by 35%, and query latency by 30%, while enabling deep infrastructure intelligence for CXOs. Preference: Fast learners and track owners with 2+ industry experience in their field. Part-time also works if you are currently working somewhere (30 hours per week min) AI Engineering Scope of Work: You will be responsible for building the core agentic intelligence layer of SmalBlu. This includes developing and fine-tuning ML models for optimizing compute, network, and storage layers across enterprises. You’ll integrate with LangGraph workflows, vector databases, and cost-performance datasets to enable AI-driven decision-making across the platform. Responsibilities: Build intelligent agent workflows using LangChain or LangGraph Train and fine-tune models for resource optimisation, cost prediction, and carbon analytics Integrate custom LLM pipelines with APIs and event systems ( Kafka, REST ) Work on Pinecone or other vector DBs to power infra-aware memory Skills Required: Proficiency in Python Experience with TensorFlow/PyTorch, LangChain, Pinecone Familiarity with LLMs, RAG models, vector search Strong grasp of optimization, compute, or data infra modeling About the Position: Duration: 6-month paid internship with a compensation of upto 50k per month + ESOPs , followed by full-time employment based on performance with competitive pay. Compensation & Perks: ✅ Full-time employment opportunity with full-time pay + incentives post-internship ✅ Hybrid work model ( Ahmedabad preferred ) ✅ Be a core part of a fast-growing impact-driven startup tificial Intelligence, or a related field Application Link : https://forms.gle/VUhCvyPHrw8czdkv8 You can reach out to us at garv@smalblu.ai via mail or at +91 6354057091/+91 8488006997 for any questions. Show more Show less

About Vibrant Brands Vibrant Brands is an Australian-based, multi-brand tech business dedicated to transforming digital experiences through innovative platforms and mobile applications. We leverage artificial intelligence to enhance user experiences and streamline operations, creating seamless, intelligent solutions for our global audience. Role Overview We’re seeking a Senior Full Stack Developer with deep expertise in building large-scale platforms, mobile apps, and AI-driven solutions, including large language models. Reporting directly to the CEO, you’ll architect and develop AI-underpinned platforms, drive technical strategy, and delegate tasks to a team of full stack developers. This role is pivotal in embedding AI tools across our development lifecycle to elevate user experience and operational efficiency, based remotely in India. Key Responsibilities Design and develop scalable full stack platforms and mobile apps, integrating AI tools to enhance user experience and streamline operations. Lead the implementation of AI technologies, including large language models, for personalized, intelligent platform features. Collaborate with the CEO to align technical roadmaps with business objectives, prioritizing AI-driven innovation. Mentor and delegate tasks to a team of full stack developers, embedding AI best practices in their workflows. Optimize systems for performance, security, and scalability, ensuring AI integrations are robust and efficient. Stay current with AI and full stack trends to drive continuous improvement in development processes. Qualifications Experience : 7+ years in full stack development, with a strong portfolio of large-scale platforms and mobile apps. Technical Skills : Expertise in front-end (React, Angular, or Vue.js) and mobile frameworks (React Native, Flutter). Proficiency in back-end technologies (Node.js, Python, Java) and microservices architecture. Hands-on experience with AI/ML frameworks (TensorFlow, PyTorch) and large language models (e.g., GPT, BERT). Familiarity with AI tools for development, testing, and operations (e.g., AI-driven analytics, automation). Knowledge of cloud platforms (AWS, Azure, or GCP), DevOps, and databases (SQL, NoSQL). Experience with API development (REST, GraphQL) and AI-enhanced APIs. Leadership : Proven ability to lead teams, delegate effectively, and foster AI-driven development practices. Location : Based in India, with flexibility to align with Australian time zones (AEST). Bonus : Experience in AI-enhanced, multi-brand platforms or consumer-facing tech solutions. Why Join Vibrant Brands? Shape the technical vision of a growing Australian tech company, working directly with the CEO. Lead pioneering projects that integrate AI to redefine user experiences and operational efficiency. Enjoy remote work flexibility with a collaborative, global team. Thrive in a vibrant, inclusive culture that champions innovation and impact. Show more Show less

About Vibrant Brands Vibrant Brands is an Australian-based, multi-brand tech business committed to delivering exceptional digital experiences through innovative mobile applications and platforms. We harness artificial intelligence to enhance user engagement and streamline operations, creating intuitive, high-impact solutions for our global users. Role Overview We’re seeking a Mobile Application Developer with expertise in building high-quality Android and iOS applications. You’ll work under the guidance of our Senior Full Stack Developer to design, develop, and maintain mobile apps that leverage AI tools to deliver personalized user experiences and operational efficiencies. This remote role, targeted at India-based candidates, offers the opportunity to contribute to our multi-brand ecosystem while collaborating with a dynamic team. Key Responsibilities Design, develop, and maintain Android and iOS applications with a focus on performance, scalability, and user experience. Integrate AI-driven features, such as personalized content or intelligent automation, to enhance app functionality. Collaborate with the Senior Full Stack Developer and cross-functional teams to align mobile apps with platform goals. Optimize mobile applications for speed, security, and compatibility across diverse devices and OS versions. Implement best practices for mobile development, including testing, debugging, and CI/CD pipelines. Stay updated on mobile and AI trends to incorporate innovative features and tools into app development. Qualifications Experience : 4+ years of mobile application development experience, with a portfolio of Android and iOS apps. Technical Skills : Proficiency in mobile frameworks such as React Native, Flutter, or native development (Swift for iOS, Kotlin/Java for Android). Experience integrating AI/ML tools or APIs (e.g., TensorFlow Lite, Core ML) for mobile applications. Familiarity with RESTful APIs, GraphQL, and third-party SDKs for AI-enhanced features. Knowledge of mobile app testing frameworks and tools (e.g., XCTest, Espresso). Understanding of cloud services (AWS, Firebase, or GCP) for mobile backend integration. Collaboration : Ability to work effectively in a remote team, aligning with Australian time zones (AEST). Location : Based in India, with strong communication skills for remote collaboration. Bonus : Experience with AI-driven mobile apps or multi-brand consumer-facing applications. Why Join Vibrant Brands? Build innovative Android and iOS apps that leverage AI to transform user experiences. Work remotely with a collaborative, global team and grow under experienced technical leadership. Contribute to a fast-growing Australian tech company with a focus on cutting-edge solutions. Be part of an inclusive, vibrant culture that values creativity and impact. Show more Show less

🤖 Job Opening: AI/ML Engineer – Fresher 📍 Location : Remote 🏢 Company : Appzime Technologies 💰 Salary : ₹25,000 – ₹30,000/month 🕒 Experience : 0–1 year (Fresher) 🧠 About the Role Are you passionate about Artificial Intelligence and Machine Learning? Do you dream in algorithms and live for model accuracy? At Appzime Technologies , we're inviting freshers to kickstart their career in AI/ML development and be a part of cutting-edge projects across multiple industries — from automation to predictive analytics. 🔬 Key Responsibilities Assist in developing and training ML models using Python and ML libraries (Scikit-learn, TensorFlow, PyTorch). Work on datasets — cleaning, preprocessing, feature extraction, and exploratory data analysis (EDA). Collaborate with data scientists and backend developers to integrate ML models into live systems. Contribute to AI-based automation, NLP tools, recommendation engines, and more. Stay updated with the latest in AI/ML research, tools, and best practices. ✅ Requirements B.Tech / BCA / MCA or equivalent in Computer Science, AI/ML, Data Science, or related field. Good understanding of ML algorithms (Linear Regression, Decision Trees, SVM, KNN, etc.). Hands-on experience in Python and libraries like NumPy , Pandas , Matplotlib , Scikit-learn . Familiar with deep learning concepts and frameworks (TensorFlow/Keras or PyTorch). Strong problem-solving attitude and a hunger to learn new tools. Bonus: Academic or personal ML projects, GitHub profile, or Kaggle participation. 🌟 Why Join Appzime? Opportunity to work on real-world AI/ML deployments from Day 1. Learn directly from experienced engineers and data scientists. Startup-style ownership, innovation, and fast learning curve. Expopsure to client work and cross-domain AI applications. Flexible work setup and access to premium AI tools & resources. 📧 Apply Now : careers@appzime.com Contact Person: https://www.linkedin.com/in/harshit2904/ Show more Show less

At PwC, our people in managed services focus on a variety of outsourced solutions and support clients across numerous functions. These individuals help organisations streamline their operations, reduce costs, and improve efficiency by managing key processes and functions on their behalf. They are skilled in project management, technology, and process optimization to deliver high-quality services to clients. Those in managed service management and strategy at PwC will focus on transitioning and running services, along with managing delivery teams, programmes, commercials, performance and delivery risk. Your work will involve the process of continuous improvement and optimising of the managed services process, tools and services. Job Title: Data Scientist - Manufacturing Data Solutions Level: Senior Associate Department : Advanced Analytics & Data Science Role Summary: As a Data Scientist focused on Manufacturing Data Solutions, you will leverage advanced analytical techniques and machine learning algorithms to transform data into strategic insights that drive business innovation and growth. Your expertise in predictive modeling and statistical analysis will enable you to identify patterns and trends, providing data-driven solutions to complex business challenges. You will create impactful visualizations using tools like Tableau to communicate findings clearly to stakeholders. Key Responsibilities: 1. Predictive Modeling and Analysis: - Develop predictive models using advanced statistical and machine learning techniques. - Conduct time series analysis, classification, and regression to support business objectives. 2. Data Processing and Integration: - Utilize Spark, Databricks, or cloud platforms like Azure/AWS for data processing. - Ensure seamless data flow from various sources into analytical models. 3. Data Visualization and Communication: - Create compelling visualizations using Tableau to convey data insights. - Present findings to stakeholders and provide actionable recommendations. 4. Collaboration and Solution Development: - Work with cross-functional teams to identify business challenges and develop data-driven solutions. - Lead projects to implement innovative data science methodologies. 5 . Research and Innovation: - Stay up-to-date with emerging data science trends and technologies. - Explore new techniques and tools to enhance data science capabilities. Mandatory Skills: - Proficiency in Python, R, SQL, TensorFlow, and PyTorch. - Experience with time series analysis, predictive modeling, classification, and regression. - Familiarity with Spark, Databricks, or cloud platforms like Azure/AWS. - Expertise in creating visualizations with Tableau to convey data insights. Good to Have Skills: - Interest in exploring new data science trends and technologies. - Experience working with cross-functional teams to develop data-driven solutions. Show more Show less