1936 Preprocessing Jobs - Page 6

ABOUT STYLDOD – Styldod Inc. is on a mission to democratize home design by building design-led consumer engagement AI. Our innovative platform, ' reimaginehome.ai ,' has achieved remarkable success with over 1.5 million registered users in just 12 months, all achieved organically. We draw insights from a vast repository of real estate data. As a team led by an IIT Delhi alumnus and a National Institute of Design postgraduate, we pride ourselves on being a unique blend of in-house AI experts, AI research collaborators from leading global universities, and design and real estate experts. At Styldod, we foster a dynamic culture where a small but highly skilled team makes decisive, concentrated bets on solving complex problems that have a profound impact on the world. Our work environment thrives on meritocracy. Join us if you are passionate about making a significant impact, relish challenging problems, and want to be part of a culture that values excellence, innovation, and a good laugh along the way. ROLE OVERVIEW – We are looking for a Machine Learning Engineer with hands-on experience in Deep Learning (especially PyTorch) and strong Python programming skills. You will work closely with our AI team to develop, optimize, and deploy ML models that power our real estate AI solutions. KEY RESPONSIBILITIES – Develop and optimize deep learning models for image processing, computer vision, and generative AI. Implement, train, and fine-tune models using PyTorch and related frameworks. Write efficient and clean Python code for model development and data processing. Work with large-scale real estate datasets and build robust data pipelines. Deploy and optimize models for production, ensuring scalability and efficiency. Collaborate with cross-functional teams, including product managers and engineers, to integrate ML models into real-world applications. Stay updated with the latest AI and deep learning research to improve model performance. REQUIRED SKILLS AND QUALIFICATIONS - Strong Python programming skills with experience in writing clean, modular, and efficient code. 1-3 years of experience in the domain (Data Science, Machine Learning) Deep Learning expertise, particularly with PyTorch. Solid understanding of computer vision techniques (e.g., image segmentation, object detection, generative models). Experience with data preprocessing, augmentation, and handling large scale datasets. Basic knowledge of mathematical foundations behind ML (e.g., linear algebra, probability, calculus).  GOOD TO HAVE SKILLS – Basic knowledge of Transformers and its Derivatives. Experience with HuggingFace Ecosystem (Transformers, Diffusers etc.) Experience with Generative AI models (e.g., GANs, VAEs, Diffusion Models). Experience with 3D Computer Vision . Experience with version control (Git), cloud services (AWS/GCP), and SQL/NoSQL databases.

Job Overview We are looking for a highly energetic, result driven, self-motivated, and proactive Senior Engineer with industry experience. The Advanced Simulation Engineer will own and drive analysis of innovative designs, enabling early optimization prior to prototyping as well as root cause and failure analysis of difficult Engineering problems. A Day In The Life Daily interactions with US-based teams to understand the project requirements and report progress. Performing static and dynamic analysis using Ansys workbench. Understand the engineering problems and develop adequate FEA models. Perform preprocessing, problem solving, post processing with FEA software. Ability to deal with multi-disciplinary problems and with cross functional teams. Meet the expected delivery time and quality requirements. What will help you thrive in this role? BE/ BS in relevant Engineering disciplines (Mechanical, Power Systems, Electrical, Materials, Industrial). Minimum 15 Years Of Relevant Industry Experience. Minimum 15 years of experience with FEA simulation of various products especially in advanced materials (Composites, Adhesives, Elastomers, Metals). Familiarity with the common manufacturing methods: Injection molding, casting, forging, pultrusion, etc. Experience with Multiphysics simulations (Thermomechanical, Electromagnetic, Electrical, Mold Flow Analysis, Metal Casting). Experience with mechanical design.

Company: Omnipresent Robot Technologies Pvt. Ltd. Location: Noida Sector-80| Type: Full-Time About Us: Omnipresent Robot Tech Pvt. Ltd. is an innovative startup pushing the boundaries of robotics, drones, and space tech. We recently contributed to ISRO’s Chandrayaan-3 mission by developing the perception and navigation module for the Pragyaan rover. Join our dynamic team to work on satellite-based defense projects and grow your career! Position Overview: We are looking for an AI/ML Engineers for Senior and junior role to assist in the development of AI models and algorithms for our satellite-based defense project. You will work with a skilled team to train, test, and deploy ML models, gaining hands-on experience in cutting-edge AI applications. Key Responsibilities: • Assist in designing and developing AI models using ML/DL techniques. • Implement, test, and fine-tune ML models using popular frameworks (e.g., TensorFlow, PyTorch). • Load and deploy models on embedded platforms (like Jetson Orin NX). • Analyze datasets, preprocess data, and extract features for training. • Support code compatibility and optimization on embedded systems. • Monitor and evaluate model performance, suggesting improvements. • Collaborate with senior engineers to integrate AI models into production environments. • Stay updated on the latest AI trends and apply new techniques to projects. Qualifications: • B.Tech. in Computer Science, IT, or related field. • 0.6-5 years of experience in ML model development. • Proficiency in Python and familiarity with ML frameworks (e.g., TensorFlow, PyTorch, Scikit-learn). • Understanding of data preprocessing, model training, and deployment. • Basic knowledge of GPU acceleration (CUDA) and embedded platforms (Jetson Orin NX). • Familiarity with data processing tools (e.g., NumPy, Pandas). • Strong problem-solving and analytical skills. • Effective communication and team collaboration abilities. Why Join Us? • Be part of high-impact satellite defense projects. • Learn from experts in AI and embedded systems. • Work in a start-up environment that fosters innovation and creativity.

AI/ML Engineer Responsibilities: - Design, build, and deploy advanced machine learning models and algorithms to solve complex problems in various domains, such as natural language processing, computer vision, and predictive analytics. - Collaborate closely with cross-functional teams, including data scientists, engineers, and product managers, to identify opportunities for leveraging company data to improve business outcomes. - Perform data mining and feature extraction using advanced statistical and machine learning techniques. - Evaluate and validate the performance of machine learning models using appropriate metrics and techniques. - Optimize and fine-tune machine learning models for optimal performance in production environments. - Stay up-to-date with the latest advancements in machine learning and artificial intelligence research. - Contribute to the development of best practices in machine learning and share knowledge with peers and junior team members. - Provide technical leadership and mentoring to other team members as needed. Requirements: - 4+ years of experience in developing and deploying machine learning models in a professional setting. - Strong understanding of various machine learning algorithms, such as linear regression, logistic regression, decision trees, SVM, neural networks, ensemble methods, and reinforcement learning. - Demonstrated experience in working with large datasets and using big data technologies, such as Hadoop, Spark, and distributed computing. - Proficient in programming languages, such as Python. - Experience with machine learning frameworks and libraries, such as TensorFlow, Keras, PyTorch, or Scikit-learn. - Familiarity with data visualization tools, such as Tableau, Matplotlib, or D3.js. Preferred Qualifications: - Experience in working with cloud platforms, such as AWS, Google Cloud, or Azure. - Knowledge of natural language processing, computer vision, or deep learning techniques. - Experience developing end-to-end machine learning pipelines, from data gathering and preprocessing to model deployment and monitoring.

miBiome Therapeutics is a biotech company pioneering data-driven solutions in human health through genomics and research. We're a growing, research-first team working on real-world biological problems that require advanced machine learning and statistical modeling. What You’ll Do: As a Machine Learning Engineer at miBiome, you’ll collaborate closely with bioinformaticians and research scientists to develop, train, and validate models that power genomics-based insights. Your work will involve: Building and optimizing ML models for large-scale genomics data Designing pipelines to process, integrate, and analyze structured and unstructured biological datasets Contributing to model evaluation and interpretation in the context of real-world genomics challenges Working cross-functionally with biology, data, and engineering teams What We’re Looking For: 1 – 2 years of experience in machine learning, preferably with real-world dataset experience Strong grasp of supervised and unsupervised learning techniques Proficiency in Python (TensorFlow/PyTorch, scikit-learn, etc.) Solid understanding of data preprocessing, model evaluation, and feature engineering Familiarity with version control (Git) and collaborative dev workflows Bonus: Experience with genomics data, biomedical datasets, or biotech R&D environments Why Join Us: Opportunity to work on cutting-edge health tech challenges Work alongside top talent in biology, engineering, and data science Flexible work environment with deep scientific impact Be part of a mission to transform human health through data

Company Description Orbo.ai is at the forefront of developing AI-powered tools designed for beauty brands to enhance customer loyalty, engagement, and conversion rates. With its Beauty AI automation stack, Orbo.ai adds a visual and personalization layer to brand interactions, offering deep insights into facial attributes, skin tone, and abnormalities for customized product research. Orbo's technology seamlessly integrates with E-commerce platforms, retail kiosks, and mobile apps, delivering a true omnichannel experience. Key features include makeup try-on, deep skin analysis, hairstyle, and hair color augmentation, and foundation shade finder. Role Description This is a full-time on-site role located in Noida for a Computer Vision Intern. The intern will be responsible for assisting in developing computer vision algorithms, programming, and implementing machine learning models. Additionally, the intern will participate in data collection, preprocessing, and analysis, while collaborating with team members to enhance AI-powered tools. The role offers practical experience in a cutting-edge industry. Qualifications Programming skills, including proficiency in languages such as Python and experience with libraries like OpenCV Machining skills for developing and implementing machine learning algorithms and models Skills in Teaching, with the ability to share knowledge and collaborate effectively within the team Strong analytical and problem-solving skills Ability to work on-site in Noida Enrollment in a Bachelor's or Master's degree in Computer Science, Engineering, or a related field Experience in the beauty or retail industry is a plus

As our AI Engineer, you’ll own the design, development, and production-grade deployment of our machine learning and NLP pipelines. You’ll work cross-functionally with backend (Java/Spring Boot), data (Kafka/MongoDB/ES), and frontend (React) teams to embed AI capabilities throughout. Responsibilities Build & Deploy ML/NLP Models Design end-to-end ML pipelines for data ingestion, preprocessing, feature engineering, model training, evaluation and monitoring. Train, deploy and operate predictive models (classification, regression, anomaly detection) to drive actionable insights across all MCP sources. Implement NLP components - such as text classification, summarization, and conversational interfaces—to enhance chat-driven workflows and knowledge retrieval. Data Engineering & Integration Ingest, clean, and normalize data from Kafka/Mongo and third-party APIs Define and maintain JSON-schema validations and transformation logic Collaborate with backend services to embed AI outputs Platform & Service Collaboration Work with Java/Spring Boot teams to wrap models as REST endpoints or Kafka stream processors Ensure end-to-end monitoring, logging, and performance tuning within Kubernetes Partner with frontend engineers to surface AI insights in React-based chat interfaces Continuous Improvement Establish A/B testing, metrics, and feedback loops to tune model accuracy and latency Stay on top of LLM and MLops best practices to evolve our AI stack Qualifications Experience: 2–3 years in ML/AI or data science roles, preferably in SaaS. Languages & Frameworks: Python and Familiarity with Java & Spring Boot for service integrations. Data & Infrastructure: Hands-on with Kafka, MongoDB, Redis or similar. Experience containerizing in Docker and deploying on Kubernetes. JSON-path/JSONLogic or similar transformation engines. Soft Skills: Excellent communication - able to translate complex AI concepts to product and customer teams. Nice-to-Haves Experience integrating LLMs or building vector search indexes for semantic retrieval Prior work on chatbots or conversational UIs Familiarity with DevOps stack. (AWS/Azure, k8s, GitOps, Security, Observability and Incident management)

Job Description - Jr. Data Scientist Experience: 0-1 year | Employment Type: Full-time Overview We are looking for a motivated Data Scientist with foundational data science expertise. This position is ideal for recent graduates or early-career professionals eager to work with real-world data, applying both standard and advanced preprocessing and modeling techniques in a collaborative environment. PLEASE NOTE: Mandatory: Email your CV to careers@solvusai.com with the subject line: “Job ID 202507-DS01: ” This is a full-time role with a hybrid work model Students currently pursuing a degree should not apply A strong foundation and clear understanding of data science concepts is essential Key Responsibilities 1. Data Ingestion & Preparation Extract and manipulate data using SQL and Python (pandas) Import and clean both structured & unstructured datasets 2. Data Preprocessing & Feature Engineering Handle missing values, outliers, and duplicates using statistical and ML techniques Apply noise reduction, data integration, and transformation (e.g., scaling, encoding) Perform dimensionality reduction (e.g., PCA) and ensure quality through data validation 3. Model Building & Evaluation Develop machine learning models (e.g., Linear Regression, Random Forest, XGBoost, ARIMA, LSTM) for varied problem types Tune hyperparameters using cross-validation and assess models using standard metrics (accuracy, RMSE, F1-score, etc.) 4. Visualization & Insight Generation Build dashboards and visualizations using tools like Matplotlib, Seaborn, Plotly, or Tableau Conduct statistical analysis to derive actionable business insights and present findings clearly 5. Team Collaboration Work closely with cross-functional teams (data engineers, analysts, business units) to align deliverables with organizational goals Participate in agile discussions and contribute to iterative development Required Skills Bachelors or Masters in Data Science, Computer Science, Statistics, or related field Proficiency in Python or R Strong SQL skills for data extraction/manipulation from relational databases Experience handling CSV/Excel data ingestion; advanced data cleaning techniques Understanding and implementation of various machine learning models (e.g., Linear Regression, Decision Tree, Random Forest, XGBoost, ARIMA, LSTM, SVM, K-Means) and their practical applications Ability to evaluate model performance using appropriate metrics: accuracy, precision, recall, F1-score, RMSE, MAE, ROC-AUC, etc Experience with feature scaling and categorical variable encoding Data visualization using Matplotlib, Seaborn, Plotly, or Tableau Analytical thinking, problem-solving, teamwork, and clear communication Ready to make an impact by transforming data into meaningful insights? Apply now!

Job Title: Data Scientist (o9 Platform Experience) Location: Remote Experience: 4+ Years Employment Type: Full-time About the Role We are looking for an experienced Data Scientist with hands-on expertise in the o9 Solutions platform to join our dynamic and fast-paced team. As a Data Scientist, you will work closely with cross-functional teams to deliver data-driven insights and implement solutions that enhance business decision-making and planning. Required Skills and Qualifications Bachelor’s or Master’s degree in Data Science, Computer Science, Statistics, Engineering, or a related field. Minimum of 4 years of experience in data science or analytics roles. Hands-on experience with the o9 Solutions platform in analytics, forecasting, or planning modules. Proficient in Python, R, SQL, and data visualization tools (e.g., Power BI, Tableau). Strong knowledge of statistical modeling, machine learning algorithms, and data preprocessing techniques. Experience working with cloud platforms like AWS, Azure, or GCP is a plus. Excellent problem-solving, communication, and collaboration skills. Ability to work independently in a fully remote environment.

Job Description: This internship offers a unique opportunity to contribute to the development of cutting-edge tools in aviation safety and data analysis, leveraging the power of Machine Learning. Mission for this internship is to: Develop an interactive tool for mapping of Flight data recorders’ parameters based on Systems and subsystems. This will require the selected candidate to: Become familiarized with the system-wide functionality of Airbus aircraft Codify the potentially-affected parameters for a given incident to map the fault propagation tree Conduct research on, and ultimately implemented, the most appropriate Machine Learning algorithm(s) to be leveraged for this particular time-series application Build data visualization and user-interface tools By the end of this internship, you'll have delivered: A robust tool which will provide an exhaustive list of FDR parameters along with a practical representation of how and what all systems are impacted w.r.t a particular fault. A first-order proof of concept of the applicability of Machine Learning techniques in this space as demonstrated by a limited-scope use case Required Skills Strong programming skills in Python. Knowledge of key machine learning libraries (Scikit-learn, Tensorflow) and scientific computing libraries (e.g., SciPy) is an asset. Experience with Machine Learning (ML) for time-series applications, including exposure to supervised and unsupervised learning algorithms, an understanding of data preprocessing, feature engineering, and data visualization methods.) Experience with data visualization libraries (e.g., Matplotlib, Plotly, D3.js) Familiarity with UI/UX design principles for intuitive interfaces would be a plus This internship is ideal for students pursuing degrees in Computer Science, Aerospace Engineering, Data Science, or a related field, with a keen interest in aviation data, artificial intelligence, and software development. This job requires an awareness of any potential compliance risks and a commitment to act with integrity, as the foundation for the Company’s success, reputation and sustainable growth. Company: Airbus India Private Limited Employment Type: Internship------- Experience Level: Student Job Family: Testing By submitting your CV or application you are consenting to Airbus using and storing information about you for monitoring purposes relating to your application or future employment. This information will only be used by Airbus.Airbus is committed to achieving workforce diversity and creating an inclusive working environment. We welcome all applications irrespective of social and cultural background, age, gender, disability, sexual orientation or religious belief. Airbus is, and always has been, committed to equal opportunities for all. As such, we will never ask for any type of monetary exchange in the frame of a recruitment process. Any impersonation of Airbus to do so should be reported to emsom@airbus.com . At Airbus, we support you to work, connect and collaborate more easily and flexibly. Wherever possible, we foster flexible working arrangements to stimulate innovative thinking.

Summary Gainwell Technologies is seeking a highly skilled AI and GEN AI Engineer to design, develop, and deploy advanced AI and Generative AI (Gen AI) solutions, across our healthcare technology platforms. This role involves building and optimizing AI and GEN AI technologies, integrating them into existing systems, and ensuring their effectiveness in improving healthcare outcomes and operational efficiency while maintaining compliance with industry standards. Role Description Development based on AI/ GEN AI– Design, build, and train machine learning, deep learning, time series models, Gen AI (Multi modal LLMs), predictive analytics, Natural Language Processing, Image Processing solutions for healthcare applications. Experienced in multiple LLM fine tuning techniques. Experienced in building GEN AI solutions using RAG architecture. Skilled in both Lang Chain and Lang Graph. Experience in Agentic AI Frameworks and Workflow using Lang Chain, Lang Graph or Crew AI or Open AI Swarm. Experienced in multiple Vector Databases as well as Graph Database Skilled in Agentic AI Framework and has built at least one solution using Agentic AI. End-to-End AI Solution Deployment – Develop, test, and deploy AI solutions in cloud and on-premises environments, ensuring reliability, scalability, and real-world impact. Data Processing – Work with large healthcare datasets, performing data preprocessing, feature engineering, and model training while ensuring compliance with HIPAA and other regulatory standards. System Integration – Skilled in API development and integrations. Implement and optimize AI models within Gain well’s existing technology stack, collaborating with software engineers to ensure seamless integration. Experienced in ML Ops and LLM Ops. Experienced in evaluating models and continuous performance monitoring of both ML/DL and LLMs. Experienced in applying security measures in GEN AI solutions, implementing guard rails. Performance Optimization – Continuously monitor, refine, and optimize AI / GEN AI models for accuracy, efficiency, and speed, leveraging ML Ops and LLM Ops best practices. AI Research & Innovation – Stay updated with the latest AI/ML/ GEN AI advancements, exploring new technologies and methodologies to enhance solution effectiveness. #LI-DNI

What You’ll Do: Design and deploy AI-ML models for real-world applications (NLP, CV, etc) Work on end-to-end pipelines: data preprocessing to inference Contribute to both client solutions and internal product features You Should Have: 3+ years of hands-on ML/AI development experienc eExperience with libraries like scikit-learn, PyTorch, TensorFlow, HuggingFac eExperience in deploying models using FastAPI or simila r What You’ll Do : Work From Home Fir st (local presence preferred for occasional project-based meet s)Startup Ownersh ip: You’ll work closely with the founders and decision-make rsGrowth-Focused Environme nt: You grow, we gro w . Compensatio n: Competitive Sal ary based on experience and skill setOpportun ity to shape products from scratch in a high-impact environm ent 💡 If you're passionate about tech and want to build meaningful AI-powered solutions in a dynamic startu p — we'd love to hear from you!

Technology->Artificial Intelligence->Computer Vision Job Overview: As a Lead Computer Vision Engineer, you will lead the development and deployment of cutting-edge computer vision models and solutions for a variety of applications including image classification, object detection, segmentation, and more. You will work closely with cross-functional teams to implement advanced computer vision algorithms, ensure the integration of AI solutions into products, and help guide the research and innovation of next-generation visual AI technologies. 2. Technical Skills: Deep Learning Frameworks: Proficiency in TensorFlow, PyTorch, or other deep learning libraries. Computer Vision Tools: Expertise in OpenCV, Dlib, and other image processing libraries. Model Deployment: Experience deploying models to production using platforms such as AWS, Google Cloud, or NVIDIA Jetson (for edge devices). Algorithms: Strong understanding of core computer vision techniques like image classification, object detection (YOLO, Faster R-CNN), image segmentation (U-Net), and feature extraction. Programming Languages: Proficient in Python, C++, and other relevant programming languages for computer vision tasks. Data Handling: Experience working with large datasets, data augmentation, and preprocessing techniques. Optimization: Skills in model optimization techniques such as pruning, quantization, and hardware acceleration (e.g., using GPUs or TPUs). trong working experience in Agile environment - Experience working and understanding of ETL / ELT, Data load process - Knowledge on Cloud Infrastructure and data source integrations - Knowledge on relational Databases - Self-motivated, be able to work independently as well as being a team player - Excellent analytical and problem-solving skills - Ability to handle and respond to multiple stakeholders and queries - Ability to prioritize tasks and update key stakeholders - Strong client service focus and willingness to respond to queries and provide deliverables within prompt timeframes.

AI Engineer – Voice, NLP, and GenAI Systems Location : Sector 63, Gurgaon – 100% In-Office Working Days : Monday to Friday, with 2nd and 4th Saturdays off Working Hours : 10:30 AM to 8:00 PM Experience : 2–6 years in AI/ML, NLP, or applied machine learning engineering Apply at : careers@darwix.ai Subject Line : Application – AI Engineer – [Your Name] About Darwix AI Darwix AI is India’s fastest-growing GenAI SaaS platform transforming how enterprise sales, field, and support teams engage with customers. Our suite— Transform+ , Sherpa.ai , and Store Intel —powers real-time multilingual voice analytics, AI nudges, coaching systems, and computer vision analytics for major enterprises across India, MENA, and Southeast Asia. We work with some of the largest names such as Aditya Birla Capital, Sobha, GIVA, and Bank Dofar. Our systems process thousands of daily conversations, live call transcripts, and omnichannel data to deliver actionable revenue insights and in-the-moment enablement. Role Overview As an AI Engineer , you will play a key role in designing, developing, and scaling AI and NLP systems that power our core products. You will work at the intersection of voice AI, natural language processing (NLP), large language models (LLMs), and speech-to-text pipelines. You will collaborate with product, backend, and frontend teams to integrate ML models into production workflows, optimize inference pipelines, and improve the accuracy and performance of real-time analytics used by enterprise sales and field teams. Key ResponsibilitiesAI & NLP System Development Design, train, fine-tune, and deploy NLP models for conversation analysis, scoring, sentiment detection, and call summarization. Work on integrating and customizing speech-to-text (STT) pipelines (e.g., WhisperX, Deepgram) for multilingual audio data. Develop and maintain classification, extraction, and sequence-to-sequence models to handle real-world sales and service conversations. LLM & Prompt Engineering Experiment with and integrate large language models (OpenAI, Cohere, open-source LLMs) for live coaching and knowledge retrieval use cases. Optimize prompts and design retrieval-augmented generation (RAG) workflows to support real-time use in product modules. Develop internal tools for model evaluation and prompt performance tracking. Productionization & Integration Build robust model APIs and microservices in collaboration with backend engineers (primarily Python, FastAPI). Optimize inference time and resource utilization for real-time and batch processing needs. Implement monitoring and logging for production ML systems to track drift and failure cases. Data & Evaluation Work on audio-text alignment datasets, conversation logs, and labeled scoring data to improve model performance. Build evaluation pipelines and create automated testing scripts for accuracy and consistency checks. Define and track key performance metrics such as WER (word error rate), intent accuracy, and scoring consistency. Collaboration & Research Work closely with product managers to translate business problems into model design requirements. Explore and propose new approaches leveraging the latest research in voice, NLP, and generative AI. Document research experiments, architecture decisions, and feature impact clearly for internal stakeholders. Required Skills & Qualifications 2–6 years of experience in AI/ML engineering, preferably with real-world NLP or voice AI applications. Strong programming skills in Python , including libraries like PyTorch, TensorFlow, Hugging Face Transformers. Experience with speech processing , audio feature extraction, or STT pipelines. Solid understanding of NLP tasks: tokenization, embedding, NER, summarization, intent detection, sentiment analysis. Familiarity with deploying models as APIs and integrating them with production backend systems. Good understanding of data pipelines, preprocessing techniques, and scalable model architectures. Preferred Qualifications Prior experience with multilingual NLP systems or models tuned for Indian languages. Exposure to RAG pipelines , embeddings search (e.g., FAISS, Pinecone), and vector databases. Experience working with voice analytics, diarization, or conversational scoring frameworks. Understanding of DevOps basics for ML (MLflow, Docker, GitHub Actions for model deployment). Experience in SaaS product environments serving enterprise clients. Success in This Role Means Accurate, robust, and scalable AI models powering production workflows with minimal manual intervention. Inference pipelines optimized for enterprise-scale deployments with high availability. New features and improvements delivered quickly to drive direct business impact. AI-driven insights and automations that enhance user experience and boost revenue outcomes for clients. You Will Excel in This Role If You Love building AI systems that create measurable value in the real world, not just in research labs. Enjoy solving messy, real-world data problems and working on multilingual and noisy data. Are passionate about voice and NLP, and constantly follow advancements in GenAI. Thrive in a fast-paced, high-ownership environment where ideas quickly become live features. How to Apply Email your updated CV to careers@darwix.ai Subject Line: Application – AI Engineer – [Your Name] (Optional): Share links to your GitHub, open-source contributions, or a short note about a model or system you designed and deployed in production. This is an opportunity to build foundational AI systems at one of India’s fastest-scaling GenAI startups and to impact how large enterprises engage millions of customers every day. If you are ready to transform how AI meets revenue teams—Darwix AI wants to hear from you.

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 Description Job Title: Senior Data Scientist Location: Bangalore Reporting to: Senior Manager Analytics Purpose of the role We seek a highly skilled Senior Machine Learning Engineer / Senior Data Scientist to design, develop, and deploy advanced machine learning models and systems. The ideal candidate will have deep expertise in machine learning algorithms, data processing, and model deployment, with a proven track record of delivering scalable AI solutions in production environments. This role requires strong technical leadership, collaboration with cross-functional teams, and a passion for solving complex problems. Key tasks & accountabilities Model Development: Design, develop, and optimize machine learning models for various applications, including but not limited to natural language processing, computer vision, and predictive analytics. Data Pipeline Management: Build and maintain robust data pipelines for preprocessing, feature engineering, and data augmentation to support model training and evaluation. Model Deployment: Deploy machine learning models into production environments, ensuring scalability, reliability, and performance using tools like Docker, Kubernetes, or cloud platforms preferably Azure. Research and Innovation: Stay updated on the latest advancements in machine learning and AI, incorporating state-of-the-art techniques into projects to improve performance and efficiency. Collaboration: Work closely with data scientists, software engineers, product managers, and other stakeholders to translate business requirements into technical solutions. Performance Optimization: Monitor and optimize model performance, addressing issues like model drift, bias, and scalability challenges. Code Quality: Write clean, maintainable, and well-documented code, adhering to best practices for software development and version control (e.g., Git). Mentorship: Provide technical guidance and mentorship to junior engineers, fostering a culture of learning and innovation within the team. Qualifications, Experience, Skills Level Of Educational Attainment Required Bachelor’s or Master’s degree in Computer Science, Data Science, Machine Learning, or a related field. PhD is a plus. Previous Work Experience 5+ years of experience in machine learning, data science, or a related field. Proven experience in designing, training, and deploying machine learning models in production. Hands-on experience with cloud platforms (AWS, GCP, Azure) and containerization technologies (Docker, Kubernetes). Technical Skills Required Proficiency in Python and libraries/frameworks such as TensorFlow, PyTorch, Scikit-learn, or Hugging Face. Strong understanding of machine learning algorithms (e.g., regression, classification, clustering, deep learning, reinforcement learning, optimization). Experience with big data technologies (e.g., Hadoop, Spark, or similar) and data processing pipelines. Familiarity with MLOps practices, including model versioning, monitoring, and CI/CD for ML workflows. Knowledge of software engineering principles, including object-oriented programming, API development, and microservices architecture. Other Skills Required Strong problem-solving and analytical skills. Excellent communication and collaboration abilities. Ability to work in a fast-paced, dynamic environment and manage multiple priorities. Experience with generative AI models or large language models (LLMs). Familiarity with distributed computing or high-performance computing environments. And above all of this, an undying love for beer! We dream big to create future with more cheers

We are excited to share a fantastic opportunity for the AI Lead/Sr. AI-ML Engineer position at Gritstone Technologies . We believe your skills and experience could be a perfect match for this role, and we would love for you to explore this opportunity with us. Design and implement scalable, high-performance AI/ML architectures with Python tailored for real-time and batch processing use cases. Lead the development of robust, end-to-end AI pipelines, including advanced data preprocessing, feature engineering, model development, and deployment. Define and drive the integration of AI solutions across cloud-native platforms (AWS, Azure, GCP) with optimized cost-performance trade-offs. Architect and deploy multimodal AI systems, leveraging advanced NLP (e.g., LLMs, OpenAI-based customizations, scanned invoice data extraction), computer vision (e.g., inpainting, super-resolution scaling, video-based avatar generation), and generative AI technologies (e.g., video and audio generation). Integrate domain-specific AI solutions, such as reinforcement learning, and self-supervised learning models. Implement distributed training and inferencing pipelines using state-of-the-art frameworks. Drive model optimization through quantization, pruning, sparsity techniques, and mixed-precision training to maximize performance across GPU hardware. Develop scalable solutions using large vision-language models (VLMs) and large language models (LLMs). Define and implement MLOps practices for version control, CI/CD pipelines, and automated model deployment using tools like Kubernetes, Docker, Kubeflow, and FastAPI. Enable seamless integration of databases (SQL Server, MongoDB, NoSQL) with AI workflows. Drive cutting-edge research in AI/ML, including advancements in RLHF, retrieval-augmented generation (RAG), and multimodal knowledge graphs. Experiment with emerging generative technologies, such as diffusion models for video generation and neural audio synthesis. Collaborate with cross-functional stakeholders to deliver AI-driven business solutions aligned with organizational goals. null 5+ years of Experience

Job Description: We are seeking a highly skilled and passionate Data Science Trainer to join our team. The ideal candidate will have strong practical knowledge in data science tools and techniques, and a passion for teaching and mentoring students or professionals. Key Responsibilities: Design and deliver engaging training sessions on Data Science, Machine Learning, Python, SQL, Statistics, and Data Visualization tools like Tableau or Power BI. Develop course materials, hands-on labs, assessments, and real-time project-based learning modules. Teach both theoretical and practical aspects of data science, including data preprocessing, EDA, model building, evaluation, and deployment . Conduct live sessions, workshops, webinars , and one-on-one doubt-clearing sessions. Requirements: Bachelor's or Master's degree in Computer Science, Data Science, Statistics, or related field. Proven experience (2+ years) in data science or analytics roles. Proficiency in Python, Pandas, NumPy, Matplotlib, Scikit-learn, SQL, and relevant data science libraries. Knowledge of cloud platforms (AWS, Azure, GCP) and deployment tools is a plus. Experience with tools like Jupyter Notebook, Google Colab , or similar platforms. Strong communication, presentation, and mentoring skills. Prior teaching or training experience preferred (online/offline). Ability to break down complex topics into easy-to-understand concepts. Job Type: Full-time Pay: ₹100,000.00 - ₹200,000.00 per month Work Location: In person

The people here at Apple don’t just build products - we craft the kind of wonder that’s revolutionized entire industries. It’s the diversity of those people and their ideas that supports the innovation that runs through everything we do, from amazing technology to industry-leading environmental efforts. Join Apple, and help us leave the world better than we found it. The Global Business Intelligence team provides data services, analytics, reporting, and data science solutions to Apple’s business groups, including Retail, iTunes, Marketing, AppleCare, Operations, Finance, and Sales. These solutions are built on top of an end-to-end machine learning platform with sophisticated AI capabilities. We are looking for a competent, experienced, and driven machine learning engineer to define and build some of the best-in-class machine learning solutions and tools for Apple. Description As a Machine Learning Engineer, you will work on building intelligent systems to democratize AI across a wide range of solutions within Apple. You will drive the development and deployment of innovative AI models and systems that directly impact the capabilities and performance of Apple’s products and services. You will implement robust, scalable ML infrastructure, including data storage, processing, and model serving components, to support seamless integration of AI/ML models into production environments. You will develop novel feature engineering, data augmentation, prompt engineering and fine-tuning frameworks that achieve optimal performance on specific tasks and domains. You will design and implement automated ML pipelines for data preprocessing, feature engineering, model training, hyper-parameter tuning, and model evaluation, enabling rapid experimentation and iteration. You will also implement advanced model compression and optimization techniques to reduce the resource footprint of language models while preserving their performance. Have continuous focus to Brainstorm and Design various POCs using AI/ML Services for new or existing enterprise problems. YOU SHOULD BE ABLE TO: - Understand a business challenge - Collaborate with business and other multi-functional teams - Design a statistical or deep learning solution to find the needed answer to it. - Develop it by yourself or guide another person to do it. - Deliver the outcome into production, (v) Keep a good governance of your work. There are meaningful opportunities for you deliver impactful influences to Apple. Key Qualifications 4+ years of ML engineering experience in feature engineering, model training, model serving, model monitoring and model refresh management Experience developing AI/ML systems at scale in production or in high-impact research environments Passionate about computer vision, natural language processing, especially in LLMs and Generative AI systems Knowledge with the common frameworks and tools such as PyPorch or TensorFlow Experience with transformer models such as BERT, GPT etc. and understanding of their underlying principles is a plus Strong coding, analytical, software engineering skills, and familiarity with software engineering principles around testing, code reviews and deployment Experience in handling performance, application and security log management Applied knowledge of statistical data analysis, predictive modeling classification, Time Series techniques, sampling methods, multivariate analysis, hypothesis testing, and drift analysis. Proficiency in programming languages and tools like Python, R, Git, Airflow, Notebooks. Experience with data visualization tools like matplotlib, d3.js., Tableau would be a plus Education & Experience Bachelor’s Degree or Equivalent experience Submit CV

Overview Tricky WebSolutions is seeking a skilled and enthusiastic AI/ML Developer with at least 2 years of experience to join our innovative team. The successful candidate will be responsible for developing and deploying machine learning models, conducting data analysis, and collaborating with cross-functional teams to integrate AI solutions into our products and services. Responsibilities Model Development : Design, develop, and deploy machine learning models for various applications. Implement algorithms and conduct experiments to test and validate models. Optimize and improve the performance of existing models. Data Analysis : Collect, preprocess, and analyze large datasets to extract meaningful insights. Develop data pipelines and ensure data quality and integrity. Collaboration : Work closely with data scientists, software developers, and product managers to integrate AI solutions into web applications. Communicate findings and technical concepts to non-technical stakeholders. Research and Innovation : Stay updated with the latest advancements in AI and machine learning technologies. Explore and propose new techniques and tools to enhance AI capabilities. Deployment and Maintenance : Implement machine learning models in production environments. Monitor model performance and maintain AI systems. Requirements Educational Background : Bachelor’s or Master’s degree in Computer Science, Data Science, Artificial Intelligence, or a related field. Technical Skills : Proficiency in programming languages such as Python or R. Experience with machine learning frameworks and libraries (e.g., TensorFlow, PyTorch, Scikit-learn). Strong understanding of machine learning algorithms and principles. Familiarity with data preprocessing techniques and tools. Experience with cloud platforms (e.g., AWS, Google Cloud, Azure) is a plus. Analytical Skills : Strong problem-solving abilities and attention to detail. Ability to analyze complex data and interpret results. Communication Skills : Excellent written and verbal communication skills. Ability to explain technical concepts to a non-technical audience. Experience : At least 2 years of experience in AI/ML development or a related field. Experience with natural language processing (NLP) and computer vision is a plus. Experience in deploying machine learning models in production environments. Preferred Qualifications Certifications : Relevant certifications in AI/ML are advantageous. Project Management : Experience with agile methodologies and project management tools. Publications : Contributions to research papers or relevant publications in the field of AI/ML. How to Apply Interested candidates are invited to send their CV to hr@trickywebsolutions.com . Please include "AI/ML Developer Application" in the subject line of the email. Job Type: Full-time Pay: ₹10,000.00 - ₹40,000.00 per month Work Location: In person

The Company PayPal has been revolutionizing commerce globally for more than 25 years. Creating innovative experiences that make moving money, selling, and shopping simple, personalized, and secure, PayPal empowers consumers and businesses in approximately 200 markets to join and thrive in the global economy. We operate a global, two-sided network at scale that connects hundreds of millions of merchants and consumers. We help merchants and consumers connect, transact, and complete payments, whether they are online or in person. PayPal is more than a connection to third-party payment networks. We provide proprietary payment solutions accepted by merchants that enable the completion of payments on our platform on behalf of our customers. We offer our customers the flexibility to use their accounts to purchase and receive payments for goods and services, as well as the ability to transfer and withdraw funds. We enable consumers to exchange funds more safely with merchants using a variety of funding sources, which may include a bank account, a PayPal or Venmo account balance, PayPal and Venmo branded credit products, a credit card, a debit card, certain cryptocurrencies, or other stored value products such as gift cards, and eligible credit card rewards. Our PayPal, Venmo, and Xoom products also make it safer and simpler for friends and family to transfer funds to each other. We offer merchants an end-to-end payments solution that provides authorization and settlement capabilities, as well as instant access to funds and payouts. We also help merchants connect with their customers, process exchanges and returns, and manage risk. We enable consumers to engage in cross-border shopping and merchants to extend their global reach while reducing the complexity and friction involved in enabling cross-border trade. Our beliefs are the foundation for how we conduct business every day. We live each day guided by our core values of Inclusion, Innovation, Collaboration, and Wellness. Together, our values ensure that we work together as one global team with our customers at the center of everything we do – and they push us to ensure we take care of ourselves, each other, and our communities. Job Description Summary: This job will oversee the strategic direction and execution of machine learning projects. You will work closely with data scientists, software engineers, and product teams to enhance services through innovative AI/ML solutions. Your role will involve building scalable ML pipelines, ensuring data quality, and deploying models into production environments to drive business insights and improve customer experiences. Job Description: Essential Responsibilities: Define and drive the strategic vision for machine learning initiatives within the team. Lead the development and optimization of machine learning models. Oversee the preprocessing and analysis of large datasets. Deploy and maintain ML solutions in production environments. Collaborate with cross-functional teams to integrate ML models into products and services. Monitor and evaluate the performance of deployed models, making necessary adjustments. Mentor and guide junior engineers and data scientists. Ensure adherence to best practices and industry standards in ML development. Minimum Qualifications: Minimum of 12 years of relevant work experience and a Bachelor's degree or equivalent experience. Previous management experience PayPal does not charge candidates any fees for courses, applications, resume reviews, interviews, background checks, or onboarding. Any such request is a red flag and likely part of a scam. To learn more about how to identify and avoid recruitment fraud please visit https://careers.pypl.com/contact-us. For the majority of employees, PayPal's balanced hybrid work model offers 3 days in the office for effective in-person collaboration and 2 days at your choice of either the PayPal office or your home workspace, ensuring that you equally have the benefits and conveniences of both locations. Our Benefits: At PayPal, we’re committed to building an equitable and inclusive global economy. And we can’t do this without our most important asset-you. That’s why we offer benefits to help you thrive in every stage of life. We champion your financial, physical, and mental health by offering valuable benefits and resources to help you care for the whole you. We have great benefits including a flexible work environment, employee shares options, health and life insurance and more. To learn more about our benefits please visit https://www.paypalbenefits.com Who We Are: To learn more about our culture and community visit https://about.pypl.com/who-we-are/default.aspx Commitment to Diversity and Inclusion PayPal provides equal employment opportunity (EEO) to all persons regardless of age, color, national origin, citizenship status, physical or mental disability, race, religion, creed, gender, sex, pregnancy, sexual orientation, gender identity and/or expression, genetic information, marital status, status with regard to public assistance, veteran status, or any other characteristic protected by federal, state, or local law. In addition, PayPal will provide reasonable accommodations for qualified individuals with disabilities. If you are unable to submit an application because of incompatible assistive technology or a disability, please contact us at paypalglobaltalentacquisition@paypal.com. Belonging at PayPal: Our employees are central to advancing our mission, and we strive to create an environment where everyone can do their best work with a sense of purpose and belonging. Belonging at PayPal means creating a workplace with a sense of acceptance and security where all employees feel included and valued. We are proud to have a diverse workforce reflective of the merchants, consumers, and communities that we serve, and we continue to take tangible actions to cultivate inclusivity and belonging at PayPal. Any general requests for consideration of your skills, please Join our Talent Community. We know the confidence gap and imposter syndrome can get in the way of meeting spectacular candidates. Please don’t hesitate to apply.

Why Glasier Inc. For Your Dream Job? We're a passionate group of tech enthusiasts & creatives who live and breathe innovation. We're looking for energetic innovators, thinkers, and doers who thrive on learning, adapting quickly, and executing in real-time if you're a creative thinker with design, a marketer with a story to tell, or a passionate professional. Apply Now 01 Python Developer Openings: 01 Exp.: 2 - 2.5 Years Job Description: Design, build, and deploy ML models and algorithms. Preprocess and analyze large datasets for training and evaluation. Work with data scientists and engineers to integrate models into applications. Optimize model performance and accuracy. Stay up to date with AI/ML trends, libraries, and tools. Strong experience with Python and libraries such as NumPy, Pandas, Scikit-learn, TensorFlow, or PyTorch. Solid understanding of machine learning algorithms and principles. Experience working with data preprocessing and model deployment. Familiarity with cloud platforms (AWS, GCP, Azure) is a plus. PERKS & BENEFITS Working With Glasier Inc. We take care of our team members, so they can deliver their best work. Here are a few of the benefits and perks we offer to our employees: 5 Days Working Per Week Mentorship Mindfulness Flexible Working Hours International Exposures Dedicated Pantry Area Free Snacks & Drinks Open Work Culture Competitive Salary And Benefits Festival, Birthday & Work Anniversary Celebration Performance Appreciation Bonus & Rewards Employee Friendly Leave Policies Join our team now Send us an email hr@glasierinc.com Whats app on +91 95102 61901 Call at +91 95102 61901

About Arctan At Arctan, we’re solving a hard problem that matters: Eliminating communication barriers in Global conversations. Our AI product refines speech on the fly, adjusting accents and tonality, helping Customer Facing teams engage better with their customers and build rapport effortlessly across cultures. Role Overview As a Data Scientist, you will play a key role in improving and optimising the models that drive Arctan’s real-time speech AI. You’ll work on analysing, processing, and modelling data to make our systems smarter. Specifically, you’ll: Develop and fine-tune Speech to Speech machine learning models Experiment with data-driven solutions to enhance AI performance. Work on feature engineering and dataset preparation to train robust models. Collaborate with the team to evaluate and deploy models into production. What we’re looking for: Strong problem-solving skills, paired with a passion for learning. 1-3 years of experience in Data Science and related fields. Experience with speech processing or NLP. Proficiency in Python and familiarity with data science libraries. Understanding of machine learning frameworks (e.g., TensorFlow, PyTorch). Familiarity with working on datasets and data preprocessing techniques. Benefits And Perks: You’ll be joining an early stage startup building foundational Speech models Being a part of a small, high talent density team would accelerate your career growth You'll wear multiple hats, own meaningful projects, and build things that ship.

🧑‍💼 Role/Position Name: AI Lead 📍 Location: On-site – Tiruchirappalli, India 🧠 Experience: 4+ Years 📩 Contact: swathika@iagami.com 📄 Job Description: As an AI Lead , you will drive the design, development, and deployment of advanced AI solutions across our core platforms. Your focus will be on NLP, LLM fine-tuning, and applying machine learning models to real-world problems. You'll collaborate with product, engineering, and domain experts to translate ideas into intelligent solutions. 🔧 Key Responsibilities: Lead AI/ML initiatives and guide junior engineers Build and fine-tune Large Language Models (LLMs) and NLP pipelines Design machine learning workflows for classification, prediction, and recommendation systems Integrate AI models into production environments with scalability and performance in mind Conduct data preprocessing, feature engineering, and experimentation Collaborate with cross-functional teams to align AI outputs with business goals Stay updated with the latest trends in deep learning, LLMs, and generative AI ✅ Required Skills and Qualifications: ✔️ 4+ years of hands-on experience in AI/ML engineering ✔️ Proficient in Python , with experience in TensorFlow, PyTorch, or Hugging Face ✔️ Strong background in Natural Language Processing (NLP) ✔️ Experience working with LLMs (e.g., GPT, BERT, LLaMA) and transformer architectures ✔️ Familiarity with ML Ops tools, version control, and deployment practices ✔️ Solid grasp of AI ethics, model evaluation, and optimization ✔️ Strong communication skills and the ability to mentor junior engineers ✔️ Bachelor’s/Master’s degree in Computer Science, AI, Data Science, or a related field 📧 Ready to lead AI innovation? Send your updated resume to swathika@iagami.com  #AILead #NLPJobs #LLM #HiringNow #PythonDeveloper #MLJobs #ArtificialIntelligence #TrichyJobs #iAgamiTechnologies #TechCareers #DataScienceJobs

As a Data Scientist at our organization, you will be an integral part of the Flight Safety team, driving safety-related decisions and enhancing operational processes through advanced analytics and machine learning techniques. Your primary focus will be on leveraging time-series and multivariate data to detect anomalies, uncover patterns, and develop predictive models that contribute to flight safety and risk mitigation. Your responsibilities will include performing exploratory data analysis to derive insights from complex datasets, implementing anomaly detection techniques on various data types, and developing machine learning and deep learning models for predictive safety analytics. You will also be tasked with using big data analytics tools and AI/ML frameworks to support data-driven decision-making, designing custom algorithms to meet specific requirements, and writing efficient, maintainable code in Python and MATLAB for data processing and modeling. To excel in this role, you should have a Bachelor's degree in Engineering with a specialization in Data Science or a related field, along with certification in Data Science. A minimum of 6 years of hands-on experience in data science, machine learning, or analytics roles is required, with a proven track record in developing AI/ML models, particularly in anomaly detection and predictive analytics. Key skills that will be essential for success in this position include data analysis, exploratory data analysis, anomaly detection on time-series and multivariate data, machine learning and deep learning techniques (such as ANN, RNN, CNN), big data analytics, AI-driven risk forecasting, strong programming skills in Python and MATLAB, custom algorithm design, and data collection and preprocessing. By joining our team, you will have the opportunity to contribute to cutting-edge data science initiatives in the aviation safety domain, work in a collaborative and innovation-driven environment, and be part of a mission-critical team focused on predictive safety and operational excellence.,

As a Data Scientist AI/ML Developer, you will be responsible for various key tasks related to data collection, analysis, model development, and implementation of advanced technologies. You should have a strong understanding of data science methodologies and experience in working with machine learning models. This position is suitable for freshers as well as candidates with up to 5 years of experience. Your primary responsibilities will include gathering, cleaning, and analyzing large datasets for diverse applications. You will also be involved in building, training, and evaluating machine learning and deep learning models for tasks related to computer vision, natural language processing (NLP), and generative AI. You will utilize OpenCV to create solutions for image classification, object detection, facial recognition, and other vision-based tasks. Additionally, you will develop and fine-tune Generative Adversarial Networks (GANs) for synthetic data generation and image manipulation. Collaboration with cross-functional teams is essential in this role, as you will work closely with data engineers, software developers, and business analysts to integrate data-driven insights into production environments. Staying updated with the latest developments in AI, data science, and generative AI is crucial, and you should be able to apply best practices to projects effectively. Ensuring that machine learning models and data pipelines are scalable, efficient, and ready for production deployment is also a key part of your responsibilities. In terms of required skills, you should have strong proficiency in computer vision techniques using OpenCV, hands-on experience with Generative Adversarial Networks (GANs), and familiarity with LangChain, GPT models, and other generative AI frameworks. Proficiency in Python and relevant ML libraries such as TensorFlow and PyTorch is essential. Expertise in data preprocessing, feature engineering, and working with large datasets is also required. Preferred skills include experience in Natural Language Processing (NLP), model deployment using cloud services and containerization, familiarity with transformer architectures, and knowledge of big data technologies. Additionally, possessing soft skills such as strong problem-solving abilities, effective communication, and a continuous learning mindset will be advantageous in this role.,