9814 Tensorflow Jobs - Page 50

About Us At NexusLink Services, we are passionate about building intelligent, scalable solutions that drive real-world impact. As we expand our AI/ML capabilities, we’re looking for a Generative AI-focused Data Scientist to join our innovative and rapidly growing team. Role Overview We are seeking an experienced Data Scientist with 4-6 years of hands-on experience and deep expertise in Generative AI to design and implement cutting-edge models that address real business challenges. You will work with LLMs, GANs, RAG frameworks , and transformer-based architectures to build scalable, production-ready solutions across industries. Key Responsibilities Design, develop, and fine-tune Generative AI models (LLMs, GANs, Diffusion models, etc.) Work on RAG (Retrieval-Augmented Generation) and transformer-based architectures Customize and fine-tune LLMs for domain-specific use cases Build and manage robust ML pipelines for training, evaluation, and deployment Collaborate with engineering teams to integrate models into real-world applications Stay updated with the latest GenAI research, tools, and trends Analyze model outputs, monitor performance, and ensure responsible AI use Required Skills 4-6 years of experience in data science or machine learning roles Strong Python skills with experience in ML/DL libraries: TensorFlow, PyTorch, HuggingFace Transformers Deep understanding of LLMs, GANs, RAG, Autoencoders, etc. Experience with LoRA, PEFT, or similar fine-tuning techniques Familiarity with Vector Databases (FAISS, Pinecone) and embeddings Expertise in data preprocessing, synthetic data generation Solid knowledge of NLP, prompt engineering, and language model safety Hands-on experience with model deployment, APIs, and cloud platforms (AWS/GCP/Azure) Nice to Have Experience with Chatbots, Conversational AI, or AI Assistants Familiarity with LangChain, LLMOps, or serverless model deployment Background in MLOps, Docker/Kubernetes, and CI/CD pipelines Exposure to OpenAI, Anthropic, Google Gemini, or Meta LLaMA

Job Title: AI/ML Engineer (Python + AWS + REST APIs) Department: Web Location: Indore Job Type: Full-time Experience: 3-5 years Notice Period: 0-15 days (immediate joiners preferred) Work Arrangement: On-site (Work from Office) Overview: Advantal Technologies is seeking a passionate AI/ML Engineer to join our team in building the core AI-driven functionality an intelligent visual data encryption system. The role involves designing, training, and deploying AI models (e.g., CLIP, DCGANs, Decision Trees), integrating them into a secure backend, and operationalizing the solution via AWS cloud services and Python-based APIs. Key Responsibilities: AI/ML Development Design and train deep learning models for image classification and sensitivity tagging using CLIP, DCGANs, and Decision Trees. Build synthetic datasets using DCGANs for balancing. Fine-tune pre-trained models for customized encryption logic. Implement explainable classification logic for model outputs. Validate model performance using custom metrics and datasets. API Development Design and develop Python RESTful APIs using FastAPI or Flask for: Image upload and classification Model inference endpoints Encryption trigger calls Integrate APIs with AWS Lambda and Amazon API Gateway. AWS Integration Deploy and manage AI models on Amazon SageMaker for training and real-time inference. Use AWS Lambda for serverless backend compute. Store encrypted image data on Amazon S3 and metadata on Amazon RDS (PostgreSQL). Use AWS Cognito for secure user authentication and KMS for key management. Monitor job status via CloudWatch and enable secure, scalable API access. Required Skills & Experience: Must-Have 3–5 years of experience in AI/ML (especially vision-based systems). Strong experience with PyTorch or TensorFlow for model development. Proficient in Python with experience building RESTful APIs. Hands-on experience with Amazon SageMaker, Lambda, API Gateway, and S3. Knowledge of OpenSSL/PyCryptodome or basic cryptographic concepts. Understanding of model deployment, serialization, and performance tuning. Nice-to-Have Experience with CLIP model fine-tuning. Familiarity with Docker, GitHub Actions, or CI/CD pipelines. Experience in data classification under compliance regimes (e.g., GDPR, HIPAA). Familiarity with multi-tenant SaaS design patterns. Tools & Technologies: Python, PyTorch, TensorFlow FastAPI, Flask AWS: SageMaker, Lambda, S3, RDS, Cognito, API Gateway, KMS Git, Docker, Postgres, OpenCV, OpenSSL If interested, please share resume to kratika.vijaywargiya@advantal.net

Senior Principal Software Engineer The Software Engineering team delivers next-generation software application enhancements and new products for a changing world. Working at the cutting edge, we design and develop software for platforms, peripherals, applications and diagnostics all with the most advanced technologies, tools, software engineering methodologies and the collaboration of internal and external partners. Join us as a Senior Principal Software Engineer on our Software Engineering team in Bangalore to do the best work of your career and make a profound social impact. What youll achieve As a Software Senior Principal Engineer, you will be responsible for developing sophisticated systems and software based on the customers business goals, needs and general business environment creating software solutions. You will: Lead the design, development, training, and deployment of AI/ML models including: Traditional ML models (e.g., classification, regression, clustering) Generative AI models (e.g., GPT, LLaMA, Mistral, Claude) On-device and edge inference models Drive end-to-end AI/ML model lifecycle: data collection, preprocessing, feature engineering, model training, evaluation, deployment, and monitoring. Fine-tune and optimize LLMs for system-level tasks such as: Log summarization and root cause analysis Firmware issue classification Knowledge mining from platform documentation and specifications Integrate AI/ML models into firmware and BIOS-level environments (e.g., pre-boot telemetry, event prediction, anomaly detection). Collaborate across firmware, hardware, software, and cloud teams to deliver intelligent platform features. Build secure and performant AI pipelines using system-level data (telemetry, sensors, boot logs). Lead proof-of-concepts, R&D efforts, and patentable innovations at the intersection of firmware and AI. Take the first step towards your dream career Every Dell Technologies team member brings something unique to the table. Heres what we are looking for with this role: Essential Requirements 14+ years of relevant work experience in architecture, design and development of BIOS/Firmware/Embedded Systems (e.g., UEFI, Coreboot, AMI, Insyde) and Proven track record in AI/ML model development and deployment , including experience in: Model training, hyperparameter tuning, cross-validation Libraries/frameworks: PyTorch, TensorFlow, Scikit-learn, HuggingFace Transformers Hands-on experience with LLMs and GenAI architectures : Transformers, Retrieval-Augmented Generation (RAG), LangChain, model fine-tuning, and inference. Knowledge of on-device inference, model optimization (quantization, pruning), and edge ML frameworks. Experience in MLOps, model versioning, and deployment pipelines is a plus. Desirable Requirements Experience developing AI/ML features embedded in firmware or BIOS environments .Prior work in predictive maintenance, system health modeling, or hardware diagnostics using ML. Contributions to GenAI, firmware-AI, or embedded ML open-source projects or research.Experience with security features like TPM, secure boot, firmware attestation, and device identity.

Full Stack Developer Based in Pune, India Hybrid Mezzo Labs is a digital intelligence company who help clients turn their data into customer-winning experiences. Our goal is to deliver business value through data. We have created an AI-driven analytics product called Pythia. The platform is designed to enable marketeers to leverage the power of AI to interrogate, and get answers from, all of their customer, operational, transactional and digital data. These outputs can range from producing simple answers to quantitative questions, through to creating digital segmentation, undertaking journey analysis, predictive analytics, and beyond. The easiest way to conceptualise Pythia is to think of it like Jarvis from Iron Man - a 24/7 digital insights assistant - or more broadly, an AI co-pilot for data exploration. We are building the tool to be both self-service as a SaaS platform, and to be offered via a managed service. Pythia will support our internal teams to do their work better, as well as being sold to clients. We have built the MVP platform, but need to scale it dramatically and this role is to support that development. Background Mezzo Labs have been operating from our London HQ since 2007, and have around 30 people in the UK. We then set up the Hong Kong office in May 2018, and Singapore in January 2020. We were acquired by The MISSION Group PLC in February 2023, and have joined a group of 1,200 marketing experts as their data and MarTech agency. Our projects range from individual MarTech & data projects (such as an Adobe Analytics implementation, or Tableau dashboard build) through to a fully retained programmes delivering all of our services over a 12-to-36-month programme. Our work is primarily Hong Kong and Singapore based, although we plan to win clients in other markets around the region. Many of our Global clients are in financial services, and we have a broad mix of Travel & Hospitality, Healthcare, Telco and eCommerce clients in APAC. See our website for the latest client list Role We are looking for someone with experience in a digital team client-side or agency-side and who has successfully developed for AI products before. Responsibilities Design, develop, and maintain AI-powered web applications from front-end to back-end Work with UI/UX designers to implement intuitive user experiences for AI-driven products Develop and maintain APIs for seamless integration between frontend, backend, and AI model Optimise AI applications for maximum speed, scalability, and performance Collaborate with data scientists and machine learning engineers to deploy AI models efficiently Ensure the scalability and reliability of AI-driven applications in production environments Implement best practices for model versioning, monitoring, and continuous integration Troubleshoot, debug, and upgrade existing AI-enabled software solutions Stay up to date with emerging AI technologies, frameworks, and industry trends Requirements You will need to have: Proven experience as a Full Stack Developer with a focus on AI-powered product development Strong proficiency in front-end technologies such as HTML, CSS, JavaScript, and frameworks like React, Angular, or Vue.js Experience with backend technologies such as Node.js, Python, or Java Knowledge of AI/ML model deployment, scaling, and integration Experience with cloud platforms such as AWS, Azure, or Google Cloud, especially AI-related services Understanding of database management systems like PostgreSQL, MySQL, or MongoDB Proficiency in RESTful APIs, GraphQL, and microservices architecture Familiarity with DevOps practices, CI/CD pipelines, and containerisation (Docker, Kubernetes) Able to collaborate effectively with cross-functional teams and communicate ideas clearly Typically 5+ years of experience or demonstrated proficiency in full-stack development Preferably, you should have: Experience with AI model deployment frameworks such as TensorFlow Serving, TorchServe, or FastAPI Knowledge of MLOps best practices, including model monitoring and version control Familiarity with distributed computing and data processing frameworks Prior experience in scaling AI-powered products in a production environment Experience in Agile/Scrum methodologies Benefits Generous holiday allowance Company medical plan Growth and development opportunities Join us at Mezzo Labs and be part of a team that’s shaping the future of digital intelligence!

Job Summary: We are looking for a highly motivated and skilled Machine Learning Engineer with 1–3 years of experience and a strong interest in Generative AI technologies. The ideal candidate will contribute to the full lifecycle of Generative AI models — from training and optimization to deployment on AWS and inference API development. You will collaborate with a team of engineers and researchers to build cutting-edge AI-powered solutions that have real-world impact. Key Responsibilities: 1. Generative AI Model Development Design, develop, and implement Generative AI models for applications such as text, image, and code generation. Work with large language models (LLMs) or other generative models using frameworks like TensorFlow, PyTorch, and Hugging Face Transformers. Experiment with model architectures, training techniques, and hyperparameter tuning to optimize performance. 2. Model Optimization & Efficiency Apply techniques such as quantization, pruning, and distillation to improve inference speed and reduce resource consumption. Profile and analyze model performance to identify and eliminate bottlenecks. 3. Cloud Deployment on AWS Deploy AI models to AWS using services such as SageMaker, EC2, ECS, or Lambda. Develop scalable and reliable inference pipelines. Use AWS tools for data storage, model management, and monitoring. 4. Inference API Development Design and develop efficient, secure, and scalable RESTful or gRPC APIs to serve deployed AI models. Ensure high availability, maintainability, and performance of APIs. 5. Troubleshooting & Debugging Diagnose and resolve issues related to model performance, deployment, and API functionality. Implement monitoring and logging systems to proactively manage issues. 6. Model Retraining & Continuous Improvement Implement strategies for continuous learning by retraining models with new data and user feedback. Monitor production model performance and trigger retraining workflows as needed. 7. Collaboration & Communication Work closely with ML engineers, data scientists, and software developers to drive project goals. Communicate progress, insights, and challenges effectively with stakeholders. 8. Documentation Create comprehensive documentation for models, training workflows, deployment processes, and APIs. Required Qualifications: Bachelor’s or Master’s degree in Computer Science, Machine Learning, AI, or a related field. 1–3 years of hands-on experience in machine learning model development and deployment. Sound understanding of Generative AI concepts (e.g., Transformers, GANs, Diffusion Models). Experience with at least one deep learning framework: TensorFlow or PyTorch. Proficiency in Python. Solid knowledge of ML algorithms, data preprocessing, and evaluation metrics. Proven experience in deploying models on AWS. Strong skills in developing and consuming RESTful or gRPC APIs. Familiarity with Git or other version control systems. Excellent problem-solving, communication, and teamwork skills. Preferred Qualifications: Experience working with LLMs and the Hugging Face Transformers library. Knowledge of MLOps practices and related tools. Experience with Docker, Kubernetes, or other containerization technologies. Familiarity with data engineering tools and pipelines. Experience with monitoring tools such as CloudWatch, Prometheus, or Grafana. Contributions to open-source projects or notable personal AI projects. Job Type: Full-time Benefits: Health insurance Provident Fund Ability to commute/relocate: Pimple Soudagar, Pune, Maharashtra: Reliably commute or planning to relocate before starting work (Required) Application Question(s): What is your Notice period? Experience: Machine learning: 1 year (Required) Work Location: In person

We’re Hiring Passionate Technical Trainers! Department : Training & Placement Designation: Python Trainer College : Sona College of Technology, Salem | Tamil Nadu Job Type: Full Time Qualifications: B.E. / B.Tech / M.E. / M.Tech in CS/IT or related disciplines Experience : 4+ years of training or software industry experience Job Description : We’re on the lookout for high-energy Technical Trainers who are experts in Data Structures & Algorithms (DSA) and active on competitive programming platforms like LeetCode, CodeChef, Codeforces, HackerRank, HackerEarth, etc. Expertise in Python + DSA with proven problem-solving on CodeChef, HackerEarth, Leetcode etc. Data libraries: Pandas, NumPy, Matplotlib Machine Learning: Scikit-learn, TensorFlow (basic level) Project work using Jupyter or Google Colab Bonus if you hold Google Data Analytics certification What We Expect the Trainers: Strong problem-solving ability in Data Structures & Algorithms Active participation and proof of practice in competitive coding platforms Excellent teaching and mentoring skills Up-to-date with current trends and tools in your domain Great communication skills and a passion for teaching Apply to : jobs@sonatech.ac.in Job Type: Full-time Pay: From ₹30,000.00 per month Work Location: In person

Data Science Intern (Paid) Company: WebBoost Solutions by UM Location: Remote Duration: 3 months Opportunity: Full-time based on performance, with a Certificate of Internship About WebBoost Solutions by UM WebBoost Solutions by UM provides aspiring professionals with hands-on experience in data science , offering real-world projects to develop and refine their analytical and machine learning skills for a successful career. Responsibilities ✅ Collect, preprocess, and analyze large datasets. ✅ Develop predictive models and machine learning algorithms . ✅ Perform exploratory data analysis (EDA) to extract meaningful insights. ✅ Create data visualizations and dashboards for effective communication of findings. ✅ Collaborate with cross-functional teams to deliver data-driven solutions . Requirements 🎓 Enrolled in or graduate of a program in Data Science, Computer Science, Statistics, or a related field . 🐍 Proficiency in Python for data analysis and modeling. 🧠 Knowledge of machine learning libraries such as scikit-learn, TensorFlow, or PyTorch (preferred) . 📊 Familiarity with data visualization tools (Tableau, Power BI, or Matplotlib) . 🧐 Strong analytical and problem-solving skills. 🗣 Excellent communication and teamwork abilities. Stipend & Benefits 💰 Stipend: ₹7,500 - ₹15,000 (Performance-Based). ✔ Hands-on experience in data science projects . ✔ Certificate of Internship & Letter of Recommendation . ✔ Opportunity to build a strong portfolio of data science models and applications. ✔ Potential for full-time employment based on performance. How to Apply 📩 Submit your resume and a cover letter with the subject line "Data Science Intern Application." 📅 Deadline: 26th July 2025 Equal Opportunity WebBoost Solutions by UM is committed to fostering an inclusive and diverse environment and encourages applications from all backgrounds. Let me know if you need any modifications! 🚀

Job Type: Full Time Experience: 0 Month to 6 Months Type: Face to Face,Written Test Last Date: 21-Aug-2025 Posted on: 22-July-2025 Salary per month: Rs. 12000 - Rs. 15000 No. of vacancies: 6 Passout Year: 2024-2025 Highest qualification mark : 80% Education: BE/B.Tech Branch: BE/B.Tech-Computer Science & Engineering (CSE),BE/B.Tech-Electronics & Communication Engineering(ECE),BE/B.Tech-Information Science/Technology (IS/IT) Sublocation: Madhapur Skills: MicroSoft(MS)SQL,Artificial Intelligence,Python,Machine Learning Assist in developing Python-based applications and scripts supporting AI/ML workflows. Support model building and data analysis using libraries like NumPy, Pandas, Scikit-learn, TensorFlow, or PyTorch. Clean and preprocess datasets for training and validation using best practices in data wrangling. Work under senior developers/data scientists to deploy, test, and validate ML models. Contribute to automation scripts and tools that optimize data pipelines and ML operations. Document code, algorithms, and workflows for internal and external use. Stay updated with emerging trends in Python development and machine learning frameworks. Participate in code reviews and team meetings, ensuring continuous learning and improvement. Good knowledge in SQL.

📍 Location: Chennai, India (Relocation Required) 💼 Domain: Information Technology (IT) 💰 Salary Range: ₹40 – 65 LPA 🧑‍💼 Experience Required: 8–16 Years Position: Manager – Algorithm Engineering (Computer Vision / AI / ML) Seeking a seasoned Algorithm Engineering Manager with strong expertise in Machine Learning, Deep Learning, and Computer Vision , to lead a high-performing team working on cutting-edge solutions. This is a hands-on leadership role ideal for professionals from product-based or semiconductor/manufacturing tech companies . Key Responsibilities Lead and mentor a team of algorithm engineers to drive innovation and deliver high-performance solutions. Develop and maintain scalable infrastructure for deploying algorithms in production environments. Collaborate cross-functionally with data scientists, software engineers, and product managers to design robust, scalable systems. Optimize algorithm efficiency, performance, and resource utilization. Stay abreast of advancements in algorithm engineering and apply them strategically. Drive continuous process improvement in tools, practices, and methodologies. Required Qualifications Education: Ph.D. with minimum 6 years industry experience, or M.Tech with minimum 8 years, or B.Tech with minimum 10 years experience Minimum 3 years of managerial experience (Technical Lead experience alone is not sufficient). 8+ years of hands-on experience with at least one of the following: Python, C++, CUDA 8+ years of experience in AI/ML/Deep Learning 2–3 years of experience in Image Processing & Computer Vision Experience with high-performance computing, parallel programming, and distributed systems Background in product companies is mandatory Strong problem-solving, analytical, and communication skills Preferred Qualifications Tier-1 college background (IITs, NITs, IIITs, VIT, etc.) 8+ CGPA (preferred) Familiarity with ML libraries and frameworks such as TensorFlow, PyTorch, Scikit-learn Experience with GPU architecture and deployment tools like Docker, Apptainer Prior work in semiconductor, hardware, or manufacturing tech companies (nice to have Skills: parallel programming,high-performance computing,docker,computer vision,semiconductor,python,manufacturing,machine learning,learning,distributed systems,apptainer,image processing,scikit-learn,c++,cuda,algorithms,deep learning,drive,ml,gpu architecture,tensorflow,pytorch

Role Senior Python Developer Location : Chennai Experience : 3-8Yrs Expert-level Python skills with strong grasp of OOP, async patterns, and performance optimization Demonstrated ability to work independently and take full ownership of projects Strong portfolio (public GitHub or equivalent projects) Familiarity with at least one other programming language (e.g., JavaScript, Rust, Go, C++, etc.) Solid understanding of software engineering principles, testing, and clean code practices Preferred Skills Experience with agentic AI tools (LangChain, CrewAI, AutoGen, LangGraph, etc.) Familiarity with deep learning frameworks (PyTorch, TensorFlow) or model serving platforms Working knowledge of Docker, FastAPI, or microservices-based architecture Exposure to cloud deployment (AWS/GCP), message queues (RabbitMQ/Kafka), or vector databases About the Role We’re looking for a highly skilled and efficient Python engineer who can independently own and drive complex projects from concept to deployment. You’ll be working in a fast-paced environment where autonomy, precision, and clarity of thought are key. A strong public GitHub or equivalent portfolio is highly preferred.

Line of Service Advisory Industry/Sector Not Applicable Specialism Data, Analytics & AI Management Level Associate Job Description & Summary At PwC, our people in data and analytics focus on leveraging data to drive insights and make informed business decisions. They utilise advanced analytics techniques to help clients optimise their operations and achieve their strategic goals. In data analysis at PwC, you will focus on utilising advanced analytical techniques to extract insights from large datasets and drive data-driven decision-making. You will leverage skills in data manipulation, visualisation, and statistical modelling to support clients in solving complex business problems. *Why PWC At PwC, you will be part of a vibrant community of solvers that leads with trust and creates distinctive outcomes for our clients and communities. This purpose-led and values-driven work, powered by technology in an environment that drives innovation, will enable you to make a tangible impact in the real world. We reward your contributions, support your wellbeing, and offer inclusive benefits, flexibility programmes and mentorship that will help you thrive in work and life. Together, we grow, learn, care, collaborate, and create a future of infinite experiences for each other. Learn more about us . At PwC, we believe in providing equal employment opportunities, without any discrimination on the grounds of gender, ethnic background, age, disability, marital status, sexual orientation, pregnancy, gender identity or expression, religion or other beliefs, perceived differences and status protected by law. We strive to create an environment where each one of our people can bring their true selves and contribute to their personal growth and the firm’s growth. To enable this, we have zero tolerance for any discrimination and harassment based on the above considerations. " Responsibilities: · • Design and develop deep learning models for computer vision tasks such as: · • Object detection (e.g., YOLO, Faster R-CNN) · • Image classification (e.g., ResNet, EfficientNet) · • Semantic/instance segmentation (e.g., U-Net, Mask R-CNN) · • Video frame analysis, tracking, or scene understanding · • Use OpenCV for image/video preprocessing and classical vision tasks: · • Filtering, contour detection, edge detection, motion tracking, image transformations · • Prepare and manage large-scale image/video datasets — frame extraction, annotation support, augmentation · • Evaluate models using appropriate metrics (IoU, mAP, F1, precision-recall curves) · • Fine-tune or build from scratch using frameworks like PyTorch or TensorFlow · • Collaborate with cross-functional teams to translate requirements into deployable models · • Write clean, modular, and well-documented Python code for training and experimentation · · Must-Have Skills · • 4–6 years of experience in applied deep learning roles with focus on computer vision · • Proficiency in Python with strong skills in data structures, vectorization, and modular coding · • Hands-on experience with OpenCV for traditional image/video processing tasks · • Strong understanding of CNN architectures and common vision model types · • Deep learning experience with PyTorch or TensorFlow · • Practical experience with vision datasets (e.g., COCO, Pascal VOC, custom video/image data) · • Familiarity with model training, loss functions, optimization techniques, and performance tuning · · Nice-to-Have Skills · • Experience with video analytics or multi-object tracking · • Familiarity with Albumentations, imgaug, or other augmentation libraries · • Exposure to transformer-based vision models (e.g., ViT, Swin) · • Basic understanding of explainability techniques for vision models (e.g., Grad-CAM) · • Experience working with edge devices, embedded systems, or real-time CV (optional) Mandatory skill sets: · Python, Open CV, Deep learning, GenAI ,machine learning, data science Preferred skill sets: · Data analysis, SQL, MLOPS Years of experience required: 5+ Education qualification: BE/B.Tech/MBA/MCA Education (if blank, degree and/or field of study not specified) Degrees/Field of Study required: Bachelor of Engineering, Master of Business Administration Degrees/Field of Study preferred: Certifications (if blank, certifications not specified) Required Skills Structured Query Language (SQL) Optional Skills Accepting Feedback, Accepting Feedback, Active Listening, Algorithm Development, Alteryx (Automation Platform), Analytic Research, Big Data, Business Data Analytics, Communication, Complex Data Analysis, Conducting Research, Customer Analysis, Customer Needs Analysis, Dashboard Creation, Data Analysis, Data Analysis Software, Data Collection, Data-Driven Insights, Data Integration, Data Integrity, Data Mining, Data Modeling, Data Pipeline, Data Preprocessing, Data Quality {+ 33 more} Desired Languages (If blank, desired languages not specified) Travel Requirements Not Specified Available for Work Visa Sponsorship? No Government Clearance Required? No Job Posting End Date

Roles & Responsibilities Qualifications and Skills: Master’s or Ph.D. in Computer Science, Statistics, Mathematics, Data Science, or a related field. 5+ years of hands-on experience in data science or machine learning roles. Strong proficiency in Python or R, with deep knowledge of libraries like scikit-learn, pandas, NumPy, TensorFlow, or PyTorch. Proficient in SQL and working with relational databases. Solid experience with Azure cloud platforms and data pipeline tools. Strong grasp of statistical methods, machine learning algorithms, and model evaluation techniques. Excellent communication and storytelling skills with the ability to influence stakeholders. Proven track record of delivering impactful data science solutions in a business setting. Preferred Qualifications Experience working in industries such as [logistics, aerospace, marketing, etc.]. Familiarity with MLOps practices and tools (e.g., MLflow, Kubeflow, Airflow). Knowledge of data visualization tools (e.g., Tableau, Power BI, Plotly). Responsibilities And Duties Model Development: Design, build, and deploy scalable machine learning models to solve key business challenges (e.g., customer churn, recommendation engines, pricing optimization). Data Analysis: Perform exploratory data analysis (EDA), statistical testing, and feature engineering to uncover trends and actionable insights. Project Leadership: Lead end-to-end data science projects, including problem definition, data acquisition, modeling, and presentation of results to stakeholders. Cross-functional Collaboration: Partner with engineering, product, marketing, and business teams to integrate models into products and processes. Mentorship: Guide and mentor junior data scientists and analysts, helping them grow technically and professionally. Innovation: Stay current with the latest data science techniques, tools, and best practices. Evaluate and incorporate new technologies when appropriate. Communication: Translate complex analyses and findings into clear, compelling narratives for non-technical stakeholders. Experience 8-11 Years Skills Primary Skill: Data Science Sub Skill(s): Data Science Additional Skill(s): Data Science

Join MSBC as an AI/ML Engineer – Deliver Real-World Intelligent Systems At MSBC, we design and implement practical AI solutions that solve real business problems across industries. As an AI/ML Engineer, you will play a key role in building and deploying machine learning models and data-driven systems that are used in production. This role is ideal for engineers with solid hands-on experience delivering end-to-end AI/ML projects. Key Tools and Frameworks • Programming Languages – Python (FastAPI, Flask, Django) • Machine Learning Libraries – scikit-learn, XGBoost, TensorFlow or PyTorch • Data Pipelines – Pandas, Spark, Airflow • Model Deployment – FastAPI, Flask, Docker, MLflow • Cloud Platforms – AWS, GCP, Azure (any one) • Version Control – Git Key Responsibilities • Design and develop machine learning models to address business requirements. • Build and manage data pipelines for training and inference workflows. • Train, evaluate, and optimise models for accuracy and performance. • Deploy models in production environments using containerised solutions. • Work with structured and unstructured data from various sources. • Ensure robust monitoring, retraining, and versioning of models. • Contribute to architecture and design discussions for AI/ML systems. • Document processes, results, and deployment procedures clearly. • Collaborate with software engineers, data engineers, and business teams. Required Skills and Qualifications • 4+ years of hands-on experience delivering ML solutions in production environments. • Strong programming skills in Python and deep understanding of ML fundamentals. • Experience with supervised and unsupervised learning, regression, classification, and clustering techniques. • Practical experience in model deployment and lifecycle management. • Good understanding of data preprocessing, feature engineering, and model evaluation. • Experience with APIs, containers, and cloud deployment. • Familiarity with CI/CD practices and version control. • Ability to work independently and deliver results in fast-paced projects. • Excellent English communication skills for working with distributed teams. • Bachelor’s or Master’s degree in Computer Science, Data Science, Engineering, or a related field. MSBC Group has been a trusted technology partner for over 20 years, delivering the latest systems and software solutions for financial services, manufacturing, logistics, construction, and startup ecosystems. Our expertise includes Accessible AI, Custom Software Solutions, Staff Augmentation, Managed Services, and Business Process Outsourcing. We are at the forefront of developing advanced AI-enabled services and supporting transformative projects. Operating globally, we drive innovation, making us a trusted AI and automation partner.

About Us At NexusLink Services , we are passionate about building intelligent, scalable solutions that drive real-world impact. As we expand our AI/ML capabilities, we’re looking for a Generative AI-focused Data Scientist to join our innovative and rapidly growing team. Role Overview We are seeking an experienced Data Scientist with 4-6 years of hands-on experience and deep expertise in Generative AI to design and implement cutting-edge models that address real business challenges. You will work with LLMs, GANs, RAG frameworks , and transformer-based architectures to build scalable, production-ready solutions across industries. Key Responsibilities Design, develop, and fine-tune Generative AI models (LLMs, GANs, Diffusion models, etc.) Work on RAG (Retrieval-Augmented Generation) and transformer-based architectures Customize and fine-tune LLMs for domain-specific use cases Build and manage robust ML pipelines for training, evaluation, and deployment Collaborate with engineering teams to integrate models into real-world applications Stay updated with the latest GenAI research, tools, and trends Analyze model outputs, monitor performance, and ensure responsible AI use Required Skills 4-6 years of experience in data science or machine learning roles Strong Python skills with experience in ML/DL libraries: TensorFlow, PyTorch, HuggingFace Transformers Deep understanding of LLMs, GANs, RAG, Autoencoders , etc. Experience with LoRA, PEFT , or similar fine-tuning techniques Familiarity with Vector Databases (FAISS, Pinecone) and embeddings Expertise in data preprocessing, synthetic data generation Solid knowledge of NLP, prompt engineering , and language model safety Hands-on experience with model deployment, APIs , and cloud platforms (AWS/GCP/Azure) Nice to Have Experience with Chatbots, Conversational AI , or AI Assistants Familiarity with LangChain, LLMOps , or serverless model deployment Background in MLOps, Docker/Kubernetes , and CI/CD pipelines Exposure to OpenAI, Anthropic, Google Gemini , or Meta LLaMA

Associate Project Manager – AI/ML Experience: 8+ years (including 3+ years in project management) Notice Period: Immediate to 15 days Location: Coimbatore / Chennai 🔍 Job Summary We are seeking experienced Associate Project Managers with a strong foundation in AI/ML project delivery. The ideal candidate will have a proven track record of managing cross-functional teams, delivering complex software projects, and driving AI/ML initiatives from conception to deployment. This role requires a blend of project management expertise and technical understanding of machine learning systems, data pipelines, and model lifecycle management. ✅ Required Experience & Skills 📌 Project Management Minimum 3+ years of project management experience, including planning, tracking, and delivering software projects. Strong experience in Agile, Scrum, and SDLC/Waterfall methodologies. Proven ability to manage multiple projects and stakeholders across business and technical teams. Experience in budgeting, vendor negotiation, and resource planning. Proficiency in tools like MS Project, Excel, PowerPoint, ServiceNow, SmartSheet, and Lucidchart. 🤖 AI/ML Technical Exposure (Must-Have) Exposure to AI/ML project lifecycle: data collection, model development, training, validation, deployment, and monitoring. Understanding of ML frameworks (e.g., TensorFlow, PyTorch, Scikit-learn) and data platforms (e.g., Azure ML, AWS SageMaker, Databricks). Familiarity with MLOps practices, model versioning, and CI/CD pipelines for ML. Experience working with data scientists, ML engineers, and DevOps teams to deliver AI/ML solutions. Ability to translate business problems into AI/ML use cases and manage delivery timelines. 🧩 Leadership & Communication Strong leadership, decision-making, and organizational skills. Excellent communication and stakeholder management abilities. Ability to influence and gain buy-in from executive sponsors and cross-functional teams. Experience in building and maintaining relationships with business leaders and technical teams. 🎯 Roles & Responsibilities Lead AI/ML and software development projects from initiation through delivery. Collaborate with data science and engineering teams to define project scope, milestones, and deliverables. Develop and maintain detailed project plans aligned with business goals and technical feasibility. Monitor progress, manage risks, and ensure timely delivery of AI/ML models and software components. Coordinate cross-functional teams and ensure alignment between business, data, and engineering stakeholders. Track project metrics, ROI, and model performance post-deployment. Ensure compliance with data governance, security, and ethical AI standards. Drive continuous improvement in project execution and delivery frameworks. Stay updated on AI/ML trends and contribute to strategic planning for future initiatives.

🚀 AI/ML Engineer – Full-time Role Location: Mumbai (Hybrid)/ Remote Company: Fin 100X.AI – India’s Protocol-Governed AI Financial OS 🏢 Company Description Fin 100X.AI is India’s first protocol-governed, AI-powered financial operating system designed for Bharat’s 100 crore underserved citizens. We are on a mission to unlock financial dignity, security, and freedom using real-time intelligent systems — built with explainable AI, regulatory compliance (RBI, SEBI, IRDAI), and multilingual accessibility. We are backed by IIT Bombay alumni and visionary fintech leaders, building at the intersection of AI agents, trust, and financial inclusion. 🎯 Role Overview We are hiring an AI/ML Engineer to join our core tech team in Mumbai (Hybrid). This role will focus on designing, developing, and deploying intelligent AI flows across real-world modules like Credit Booster, SIP Planner, and Fraud Shield. You’ll collaborate with cross-functional teams to integrate LLMs, RAG pipelines, and neural architectures into a production-grade, protocol-governed financial platform for Bharat. 🧠 Key Responsibilities Design & deploy ML/LLM models, pipelines, and agent workflows Build real-time explainable AI logic for core financial modules Implement vector-based memory and retrieval systems (e.g., Pinecone, FAISS) Integrate APIs with OpenAI, Gemini, HuggingFace, etc. Collaborate with frontend/backend teams to productionize models Monitor performance, tune models, and ensure robustness ✅ Qualifications Strong foundation in Machine Learning, Deep Learning, and LLMs Proficient in Python (TensorFlow, PyTorch, HuggingFace, FastAPI) Experience with vector DBs (Pinecone, ChromaDB) and RAG pipelines Hands-on with tools like LangChain, AutoGen, CrewAI, or Ollama Understanding of statistics, model evaluation, and fallback logic Excellent problem-solving and critical thinking skills Prior exposure to FinTech, NLP, or AI governance is a plus Comfortable in a startup + hybrid work culture 🏆 Perks Work with IIT Bombay alumni & cutting-edge AI stack Shape India’s AI Financial OS from Day 0 Get showcased at Global FinTech Fest 2025 PPO potential, ESOP track, and national-scale impact

The role of Data Scientist - Clinical Data Extraction & AI Integration in our healthcare technology team requires an experienced individual with 3-6 years of experience. As a Data Scientist in this role, you will be primarily focused on medical document processing and data extraction systems. You will have the opportunity to work with advanced AI technologies to create solutions that enhance the extraction of crucial information from clinical documents, thereby improving healthcare data workflows and patient care outcomes. Your key responsibilities will include designing and implementing statistical models for medical data quality assessment, developing predictive algorithms for encounter classification, and validation. You will also be responsible for building machine learning pipelines for document pattern recognition, creating data-driven insights from clinical document structures, and implementing feature engineering for medical terminology extraction. Furthermore, you will apply natural language processing (NLP) techniques to clinical text, develop statistical validation frameworks for extracted medical data, and build anomaly detection systems for medical document processing. Additionally, you will create predictive models for discharge date estimation, encounter duration, and implement clustering algorithms for provider and encounter classification. In terms of AI & LLM Integration, you will be expected to integrate and optimize Large Language Models via AWS Bedrock and API services, design and refine AI prompts for clinical content extraction with high accuracy, and implement fallback logic and error handling for AI-powered extraction systems. You will also develop pattern matching algorithms for medical terminology and create validation layers for AI-extracted medical information. Having expertise in the healthcare domain is crucial for this role. You will work closely with medical document structures, implement healthcare-specific validation rules, handle medical terminology extraction, and conduct clinical context analysis. Ensuring HIPAA compliance and adhering to data security best practices will also be part of your responsibilities. Proficiency in programming languages such as Python 3.8+, R, SQL, and JSON, along with familiarity with data science tools like pandas, numpy, scipy, scikit-learn, spaCy, and NLTK is required. Experience with ML Frameworks including TensorFlow, PyTorch, transformers, huggingface, and visualization tools like matplotlib, seaborn, plotly, Tableau, and PowerBI is desirable. Knowledge of AI Platforms such as AWS Bedrock, Anthropic Claude, OpenAI APIs, and experience with cloud services like AWS (SageMaker, S3, Lambda, Bedrock) will be advantageous. Familiarity with research tools like Jupyter notebooks, Git, Docker, and MLflow is also beneficial for this role.,

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 Application Question(s): What is your Native & Current Location? * What is your Highest Qualification? Experience: AI & ML: 2 years (Required) Work Location: In person

You will be responsible for designing and implementing AI and GenAI solutions on Google Cloud Platform (GCP). Your role will involve creating architecture diagrams, developing machine learning models, and optimizing existing solutions for performance and scalability. You will also be required to manage large datasets, stay updated on AI trends and GCP services, and provide technical guidance to engineering teams. Additionally, you will engage in discussions with clients to understand their requirements and propose suitable solutions. To qualify for this role, you should have a Bachelor's degree in Computer Science, Engineering, or a related field, along with proven experience as a Solution Architect in AI/GenAI. Proficiency in Python, strong knowledge of GCP services, familiarity with Generative AI models, and experience with data technologies and machine learning frameworks are essential. Excellent problem-solving and communication skills are also required. Preferred skills for this position include certification in Google Cloud Professional Data Engineer or Professional Cloud Architect, familiarity with DevOps practices and tools, and experience with large-scale data processing.,

Join our fast-paced Corporate Oversight and Governance Technology AI/ML team at J.P. Morgan, where your skills and passion will drive innovation and make a significant impact. We offer unparalleled opportunities for career growth and a collaborative environment where you can thrive and contribute to meaningful projects. As an Applied AI ML Lead within the Corporate Oversight and Governance Technology team, you will solve challenging and impactful problems across a wide range of Corporate functions. You will study complex business problems and apply advanced algorithms to develop, test, and evaluate AI/ML applications or models. Working with the firm's rich data pool using Python/Spark via AWS, you will derive business insights and present them to non-technical audiences, contributing to stronger business programs and improved efficiency. Proactively develop an understanding of key business problems and processes. Execute tasks throughout a model development process including data wrangling/analysis, model training, testing, and selection. Implement optimization strategies to fine-tune generative models for specific NLP use cases, ensuring high-quality outputs in summarization and text generation. Conduct thorough evaluations of generative models (e.g., GPT-4), iterate on model architectures, and implement improvements to enhance overall performance in NLP applications. Implement monitoring mechanisms to track model performance in real-time and ensure model reliability. Communicate AI/ML/LLM/GenAI capabilities and results to both technical and non-technical audiences. Generate structured and meaningful insights from data analysis and modeling exercises and present them in an appropriate format according to the audience. Collaborate with other data scientists and machine learning engineers to deploy machine learning solutions. Carry out ad-hoc and periodic analysis as required by the business stakeholder, model risk function, and other groups. Required Qualifications, Capabilities, and Skills: - Formal training or certification in applied AI/ML concepts and 5+ years of applied experience. - Proficiency in programming languages like Python for model development, experimentation, and integration with OpenAI API. - Experience with machine learning frameworks, libraries, and APIs, such as TensorFlow, PyTorch, Scikit-learn, and OpenAI API. - Experience in building AI/ML models on structured and unstructured data along with model explainability and model monitoring. - Solid understanding of fundamentals of statistics, machine learning (e.g., classification, regression, time series, deep learning, reinforcement learning), and generative model architectures, particularly GANs, VAEs. - Experience with a broad range of analytical toolkits, such as SQL, Spark, Scikit-Learn, and XGBoost. - Experience with graph analytics and neural networks (PyTorch). - Excellent problem-solving, communication (verbal and written), and teamwork skills. Preferred Qualifications, Capabilities, and Skills: - Expertise in building AI/ML models on structured and unstructured data along with model explainability and model monitoring. - Expertise in designing and implementing pipelines using Retrieval-Augmented Generation (RAG). - Familiarity with the financial services industry.,

Amrita Vishwa Vidyapeetham, Amritapuri Campus is inviting applications from qualified candidates for the post of ML/DL R&D Engineer For Details Contact: hr-cybersecurity@am.amrita.edu Job Title ML/DL R&D Engineer Location Kollam, Kerala Job description Join our research-driven team to develop tools for robustness and fairness testing in AI models, integrating ML/DL research with practical backend development for scalable deployments at Center for Cybersecurity Systems and Networks Key Responsibilities Research and implement adversarial ML techniques (e.g., FGSM, PGD, DeepFool) to test model robustness. Design and run evaluation pipelines that probe AI models for toxic outputs, bias, or misinformation propagation, using established LLM auditing frameworks or evaluation methods. Build scalable, production-ready APIs and tools for model evaluation using FastAPI and Docker. Integrate with libraries and frameworks like IBM ART, Foolbox, and CleverHans. Automate ML testing pipelines with continuous integration/deployment. Maintain reproducible, well-documented code and experiments in a collaborative Git-based environment. Ensure robustness tools are optimized and compatible with Linux-based systems. Required Skills Machine Learning / Deep Learning Strong grasp of ML/DL fundamentals and hands-on experience with PyTorch and TensorFlow. Familiarity with adversarial ML concepts: evasion, poisoning, extraction, etc. Familiarity with fundamentals of LLMs and LLM safety evaluations and auditing. Backend Engineering Proficient in building and deploying APIs with FastAPI or equivalent. Hands-on experience with Docker, Git, Linux shell environments. Familiarity with relational databases such as PostgreSQL, MySQL, or SQLite, including basic querying and integration with backend systems. Others: Strong analytical and problem-solving skills. Ability to work independently in a research + engineering hybrid environment. Strong written communication for documentation and reporting. Last date to apply July 31, 2025

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 - ₹40,000.00 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

Dreaming big is in our DNA. It's who we are as a company. It's our culture. It's our heritage. And more than ever, it's our future. A future where we're always looking forward. Always serving up new ways to meet life's moments. A future where we keep dreaming bigger. We look for people with passion, talent, and curiosity, and provide them with the teammates, resources, and opportunities to unleash their full potential. The power we create together when we combine your strengths with ours is unstoppable. Are you ready to join a team that dreams as big as you do AB InBev GCC was incorporated in 2014 as a strategic partner for Anheuser-Busch InBev. The center leverages the power of data and analytics to drive growth for critical business functions such as operations, finance, people, and technology. The teams are transforming Operations through Tech and Analytics. Do You Dream Big We Need You. **Job Title:** Junior Data Scientist **Location:** Bangalore **Reporting to:** Senior Manager - Analytics **Purpose of the role:** The Global GenAI Team at Anheuser-Busch InBev (AB InBev) is tasked with constructing competitive solutions utilizing GenAI techniques. These solutions aim to extract contextual insights and meaningful information from our enterprise data assets. The derived data-driven insights play a pivotal role in empowering our business users to make well-informed decisions regarding their respective products. In the role of a Machine Learning Engineer (MLE), you will operate at the intersection of LLM-based frameworks, tools, and technologies, cloud-native technologies and solutions, and microservices-based software architecture and design patterns. As an additional responsibility, you will be involved in the complete development cycle of new product features, encompassing tasks such as the development and deployment of new models integrated into production systems. Furthermore, you will have the opportunity to critically assess and influence the product engineering, design, architecture, and technology stack across multiple products, extending beyond your immediate focus. **Key tasks & accountabilities:** **Large Language Models (LLM):** - Experience with LangChain, LangGraph - Proficiency in building agentic patterns like ReAct, ReWoo, LLMCompiler **Multi-modal Retrieval-Augmented Generation (RAG):** - Expertise in multi-modal AI systems (text, images, audio, video) - Designing and optimizing chunking strategies and clustering for large data processing **Streaming & Real-time Processing:** - Experience in audio/video streaming and real-time data pipelines - Low-latency inference and deployment architectures **NL2SQL:** - Natural language-driven SQL generation for databases - Experience with natural language interfaces to databases and query optimization **API Development:** - Building scalable APIs with FastAPI for AI model serving **Containerization & Orchestration:** - Proficient with Docker for containerized AI services - Experience with orchestration tools for deploying and managing services **Data Processing & Pipelines:** - Experience with chunking strategies for efficient document processing - Building data pipelines to handle large-scale data for AI model training and inference **AI Frameworks & Tools:** - Experience with AI/ML frameworks like TensorFlow, PyTorch - Proficiency in LangChain, LangGraph, and other LLM-related technologies **Prompt Engineering:** - Expertise in advanced prompting techniques like Chain of Thought (CoT) prompting, LLM Judge, and self-reflection prompting - Experience with prompt compression and optimization using tools like LLMLingua, AdaFlow, TextGrad, and DSPy - Strong understanding of context window management and optimizing prompts for performance and efficiency **Qualifications, Experience, Skills:** **Level of educational attainment required (1 or more of the following):** - Bachelor's or master's degree in Computer Science, Engineering, or a related field. **Previous Work Experience Required:** - Proven experience of 1+ years in developing and deploying applications utilizing Azure OpenAI and Redis as a vector database. **Technical Skills Required:** - Solid understanding of language model technologies, including LangChain, OpenAI Python SDK, LammaIndex, OLamma, etc. - Proficiency in implementing and optimizing machine learning models for natural language processing. - Experience with observability tools such as mlflow, langsmith, langfuse, weight and bias, etc. - Strong programming skills in languages such as Python and proficiency in relevant frameworks. - Familiarity with containerization and orchestration tools (e.g., Docker, Kubernetes). And above all of this, an undying love for beer! We dream big to create a future with more cheer.,

As a Data Scientist for AI Products at Linde, you will be an integral part of the Artificial Intelligence team within Linde's global corporate division. Your primary responsibility will involve working on real business challenges and opportunities across multiple countries. Your focus will be on supporting the AI team in extending existing AI products and developing new ones to cater to various use cases within Linde's business and value chain. Collaboration with diverse teams including Project Managers, Data Scientists, Data and Software Engineers will be a key aspect of your role. You will directly work with a variety of data sources, types, and structures to derive actionable insights. Developing, customizing, and managing AI software products based on Machine and Deep Learning backends will be among your core tasks. Your role will also entail supporting the replication of existing products and pipelines to other systems and geographies, defining data requirements for new developments, and interacting with business functions to identify opportunities with potential business impact. To excel in this role, you are required to have a Bachelor's or Master's degree in data science, Computational Statistics/Mathematics, Computer Science, Operations Research, or a related field. A strong understanding and practical experience in Multivariate Statistics, Machine Learning, and Probability concepts are essential. Additionally, hands-on experience with preprocessing, feature engineering, data cleansing, and Python programming skills are crucial. Proficiency in handling large datasets using SQL, knowledge of data architectures, and experience with data visualization tools like Tableau or PowerBI are desired. Your result-driven mindset, excellent communication skills, and ability to structure projects from ideation to implementation will be valuable assets in this role. Fluency in English is a must, and any experience with DevOps, MS Azure, Azure ML, Kedro, Airflow, MLflow, or similar tools will be advantageous. Working at Linde offers you the opportunity to be part of a leading global industrial gases and engineering company with a strong commitment to sustainable development and customer success. If you are looking for a challenging yet rewarding career where you can make a positive impact on the world, Linde provides limitless possibilities for your professional growth. Join us in our mission to make the world more productive and sustainable. Let's talk about how you can contribute to our team!,

As a Data Scientist at our company located in Nagercoil, you will play a vital role in transforming raw data into valuable insights that will drive strategic decisions and enhance product enhancements. You should possess exceptional problem-solving abilities, proficiency in data science tools, and a strong enthusiasm for data manipulation. Your responsibilities will include analyzing both structured and unstructured data sets to identify patterns and trends, constructing predictive models and machine learning algorithms, collaborating with business teams to uncover data-driven opportunities, and effectively communicating findings through various mediums such as reports, dashboards, and visualizations. Additionally, you will be responsible for data cleaning, validation, preprocessing, developing A/B testing frameworks, and collaborating with software engineers and analysts to implement data-centric solutions. To excel in this role, you must have a solid foundation in Python or R for data analysis and machine learning, along with hands-on experience using libraries like Pandas, NumPy, Scikit-learn, TensorFlow, or PyTorch. Proficiency in SQL for data querying, familiarity with data visualization tools such as Power BI, Tableau, or Matplotlib/Seaborn, and a good grasp of statistics, probability, and algorithms are also essential. Ideally, you should hold a Bachelor's or Master's degree in Computer Science, Data Science, Statistics, Mathematics, or a related field. Experience with big data tools like Hadoop or Spark would be advantageous, as well as knowledge of cloud platforms like AWS, Azure, or Google Cloud. This is a full-time, permanent position with a day shift schedule that requires in-person work at our Nagercoil location. Join us in leveraging the power of data to drive innovation and business success.,