130 Ml Libraries Jobs

As a Software Engineer with 3 years of experience in Machine Learning, you will be responsible for: - Building and evaluating ML models using Python and ML libraries such as Scikit-learn, TensorFlow, or PyTorch. - Handling data preprocessing and feature engineering to enhance model performance. - Demonstrating proficiency in REST APIs, Docker, Git, and CI/CD tools for seamless development and deployment. - Implementing software engineering principles like data structures, algorithms, and design patterns in ML projects. - Utilizing MLOps platforms like MLflow, TFX, Airflow, Kubeflow for efficient ML model deployment. - Exploring NLP, LLMs, or computer vision projects and contributing to cloud...

3–5 years of experience in AI/ML development and deployment. Proficiency in Python and ML libraries such as Scikit-learn, TensorFlow, PyTorch, XGBoost. Experience with data manipulation tools Familiarity with cloud platforms (AWS, Azure, GCP)

Join our digital revolution in NatWest Digital X In everything we do, we work to one aim. To make digital experiences which are effortless and secure. So we organise ourselves around three principles: engineer, protect, and operate. We engineer simple solutions, we protect our customers, and we operate smarter. Our people work differently depending on their jobs and needs. From hybrid working to flexible hours, we have plenty of options that help our people to thrive. This role is based in India and as such all normal working days must be carried out in India. Job Description Join us as a Data Scientist Are you ready to embark on an exciting journey of discovery, insights and innovation in t...

As a Machine Learning Engineer at our company, you will be responsible for designing, building, and productionizing machine learning models to address key business challenges. Your role will encompass tasks ranging from data gathering and feature engineering to model training and evaluation. Additionally, you will define data requirements and establish robust pipelines for data collection, cleaning, labeling, and validation. You will have the opportunity to convert ML prototypes into scalable, production-ready services, implement model monitoring, and deployment strategies using tools like Docker and Kubernetes. Staying abreast of the latest advancements in ML and exploring new techniques to...

Job Title: Data Scientist (ML, Deep Learning & Generative AI) Company: Futran Solutions Location: Pune, Maharashtra Experience: 38 years About Us Futran Solutions is a next-generation digital acceleration company delivering end-to-end digital transformation and technology services across industries like BFSI, Insurance, Retail, Education, Healthcare, Food, and Manufacturing. Role Overview We are seeking an experienced Data Scientist with strong expertise in Machine Learning, Deep Learning, and Generative AI . The ideal candidate will have hands-on experience in building, deploying, and optimizing ML models, including Transformer-based architectures and Retrieval-Augmented Generation (RAG) pi...

As a skilled and motivated Senior Systems Engineer specializing in Data DevOps/MLOps, you will be responsible for designing, deploying, and managing CI/CD pipelines for data integration and machine learning model deployment. Your role will involve building and maintaining infrastructure for data processing and model training using cloud-native tools and services. Automation of processes for data validation, transformation, and workflow orchestration will be a key part of your responsibilities. Key Responsibilities: - Design, deploy, and manage CI/CD pipelines for data integration and machine learning model deployment - Build and maintain infrastructure for data processing and model training ...

Role Overview: As a Lead Engineer in AI/ML, you will be responsible for enhancing the current platform with AI/ML capabilities for Big Data. Your role will involve solutioning for the identified use cases, collaborating with the larger AI/ML stream across the data organization, and providing technical oversight across systems and applications. You will contribute to the formulation of strategies for applications development and other functional areas, ensuring the integration of business areas to accomplish business goals. Additionally, you will be expected to provide evaluative judgment based on the analysis of factual data in complicated and unique situations. Key Responsibilities: - Enhan...

Role Overview: Join the growing AI team at NewCold as an AI Associate (ML) and contribute to building real-world machine learning solutions that have a direct impact on business performance. This role offers an exciting opportunity to collaborate with experienced professionals, tackle live data problems, and advance your career in a dynamic and collaborative environment. Key Responsibilities: - Design, train, and deploy ML models for various applications in supply chain, logistics, finance, and operations. - Develop ML models for forecasting, classification, clustering, and anomaly detection using real business data. - Engage in the full ML lifecycle, including data preparation, feature engi...

Role Overview: You should have a minimum of 7+ years of professional experience in business analysis, requirement gathering, and solution workflow design for AI/ML/Analytics projects. Proficiency in Python and SQL is required along with a strong understanding of ML libraries and applications such as Time series analysis, Neural Networks, SVMs, boosting methods, and implementation experience in Python. Experience with deep learning techniques is also necessary. Excellent communication skills are essential to effectively collaborate with business SMEs and UX teams. Intermediate knowledge of DevOps practices including CICD, Automation, Build Management, and Versioning is expected. Understanding...

Role & responsibilities Model Development & Optimization Train, fine-tune, and evaluate speech recognition (ASR), LLM, and NLU models Contribute to model monitoring, evaluation pipelines, and test harnesses Optimize for speed, robustness, and market variability Deployment & Integration Support Collaborate with MLEs and DevOps to validate models in staging and production Participate in benchmarking across markets and environments (hardware, accents, menu dynamics) Help investigate production issues and assist in triage/debugging Collaboration & Experimentation Work with AI Engineers to deploy prompt-based systems enhanced with learned representations Pair with QA to improve model accuracy and...

Role -ML OPS Here is a Job opportunity for you in IRIS- At Iris Software, our vision is to be our clients most trusted technology partner, and the first choice for the industry's top professionals to realize their full potential. With over 4,300 associates across India, U.S.A, and Canada, we help our enterprise clients thrive with technology-enabled transformation across financial services, healthcare, transportation & logistics, and professional services. Our work covers complex, mission-critical applications with the latest technologies, such as high-value complex Application & Product Engineering, Data & Analytics, Cloud, DevOps, Data & MLOps, Quality Engineering, and Business Automation....

As an AI Fine Tuning Expert, your role will involve fine-tuning LLaMA models on domain-specific data such as finance, healthcare, telecom, legal, etc. You will be responsible for curating, cleaning, and pre-processing datasets for supervised and unsupervised fine-tuning. Additionally, your tasks will include implementing low-rank adaptation (LoRA), PEFT, QLoRA, or full fine-tuning as per the requirement. It will be crucial for you to optimize model training performance using various tools and libraries, and evaluate fine-tuned models using appropriate metrics. Furthermore, you will be expected to deploy and integrate models with APIs, RAG pipelines, or inference servers, and utilize tools li...

Job Description What You'll Do Design & build ML pipelines for astrology personalization, including: Kundli classification, user segmentation, and personality inference. Content generation, ranking, and transformation using LLMs. Develop & fine-tune models for Hindi and multilingual NLU/NLG using LLMs and transformers. Work with structured astrological data (e.g., Panchang, planetary transits) and unstructured content (texts, messages). Collaborate with product and astrology domain experts to build recommendation engines for daily insights, muhurats, and horoscopes. Implement and optimize pipelines using tools like LangChain, RAG, vector stores (FAISS/Chroma), and translation APIs (IndicTran...

Role Overview: As a visionary Senior Data Scientist at PibyThree Consulting Services Pvt Ltd, you will excel in machine learning and predictive analytics. Your main responsibility will be to lead the design, development, deployment, and optimization of data-driven products that have a high business impact, such as forecasting the price/value of stocks, commodities, or consumer goods (e.g., apparel, retail). You should have a track record of successfully taking machine learning models from concept to production, iteratively improving them based on user feedback and real-world performance, and thriving on delivering measurable results. Key Responsibilities: - End-to-End Product Ownership: Lead...

As a Strategic Adoption AI Engineer at Barclays, your primary responsibility will be to enhance existing processes, reporting, and controls while ensuring flawless execution of BAU. You will drive efficiencies and process improvements, standardizing processes across SBUs wherever possible. At Barclays, you are not just anticipating the future - you are creating it. Key Responsibilities: - Strong programming skills in Python and experience with ML libraries such as scikit-learn, TensorFlow, and PyTorch. - Experience with Jenkins, GitHub Actions, or GitLab CI/CD for automating ML pipelines. - Strong knowledge of Docker and Kubernetes for scalable deployments. - Deep experience with AWS service...

As a Senior Research Engineer (Natural Language Processing) at Crimson AI, you will be part of a team that is dedicated to building a unique research platform and products to assist researchers in various stages of their research process. Your primary responsibility will be to identify and implement the best data-driven methodologies that align with the product requirements. Here's what is expected from you: - Design, develop, and implement advanced data-driven approaches such as NLP, machine learning algorithms, and text mining. - Stay updated with recent and past research works relevant to the field. - Work on NLP-ML model deployment and updates. - Focus on optimized algorithm and code des...

As an AI/ML Solutions Architect with 10+ years of experience, you will be responsible for designing and implementing enterprise-grade AI/ML solutions. Your role will involve the successful end-to-end implementation of at least 3 AI/ML/GenAI projects in production environments, showcasing strong business impact and scalability. Key Responsibilities: - Demonstrate deep expertise in Generative AI architectures such as Large Language Models (LLMs) including prompt engineering, fine-tuning, RAG architectures, prompt chaining, and agentic workflows. - Showcase proficiency in Generative Adversative Networks (GANs), Variational Autoencoders (VAEs), Diffusion Models, etc. - Utilize various LLM framew...

As a Data Scientist at AiDASH, you will play a crucial role in extracting, cleaning, and analyzing large datasets from multiple sources using SQL and Python/R. Your key responsibilities will include: - Building and optimizing data scraping pipelines to process large-scale unstructured data. - Performing statistical analysis and data mining to identify trends, patterns, and anomalies. - Developing automated workflows for data preparation and transformation. - Conducting data quality checks and implementing validation procedures. - Building and validating ML models (classification, regression, clustering) using TensorFlow, Keras, and Pandas. - Applying feature engineering to enhance accuracy a...

As an experienced Data Engineer or Machine Learning professional, you will be responsible for utilizing your strong programming skills in Python, with expertise in ML libraries like scikit-learn, TensorFlow, or PyTorch. Additionally, you will apply your hands-on experience with OCR technologies such as Tesseract, Azure OCR, Google Vision, or AWS Textract. Your role will involve working with Power Automate for workflow automation and demonstrating proficiency in Selenium with Python for web automation and testing. Your excellent verbal and written communication skills will be vital for effective collaboration within the team. Qualifications Required: - 5+ years of experience in data engineeri...

As an AI/ML Engineer, you will be responsible for leveraging your expertise in AI/ML to develop cutting-edge solutions. Here is a breakdown of what the role entails: **Key Responsibilities:** - Utilize your 6+ years of experience in AI/ML to develop innovative solutions - Demonstrate proficiency in Python and various ML libraries including scikit-learn, XGBoost, pandas, NumPy, matplotlib, and seaborn - Apply a strong understanding of machine learning algorithms and deep learning architectures such as CNNs, RNNs, and Transformers - Hands-on experience with TensorFlow, PyTorch, or Keras - Engage in data preprocessing, feature selection, EDA, and model interpretability - Comfortably develop API...

We're looking for a skilled Al/ML lead ( 5+ years) based out of Chennai, for a global computer and network security company. Deep experience in training and fine-tuning Large Language Models (LLMs) such as LLaMA 3 using frameworks like vLLM . The ideal candidate will bring a strong background in machine learning and a practical understanding of the cybersecurity domainespecially around threat intelligence, vulnerabilities, exploits, and configuration analysis . You will lead the development and implementation of models that understand, process, and generate insights across a wide range of cybersecurity content. You will guide a team of ML engineers and collaborate closely with cybersecurity ...

Job Title: Data & MLOps Engineer Python, PySpark, ML Location: [Insert Location] Experience: 5to 8years Employment Type: C2H ( Contract to Hire ) Industry: IT Services / Analytics / AI Functional Area: Data Engineering / Machine Learning Role Category: Data Science & Engineering Role: Data & MLOps Engineer Job Summary We are hiring a Data & MLOps Engineer to design, build, and maintain scalable data pipelines and ML Ops systems. This role involves conducting experiments, performing statistical analysis and EDA, and supporting model training, retraining, and deployment. You’ll help productionize and manage AI/ML models across cloud and on-prem environments. Mandatory Skills Programming : Pyth...

As an AI Engineer Intern, you will have the opportunity to work on real-world applications in machine learning, deep learning, and AI-driven automation. Your contributions will involve tasks such as building and testing ML/DL models for NLP, Speech, or Computer Vision, preprocessing, cleaning, and annotating datasets, supporting model training and fine-tuning using frameworks like TensorFlow or PyTorch, collaborating with AI engineers and software teams for model integration, and staying updated with current AI research, tools, and best practices. Qualifications required for this role include a good understanding of Python and ML libraries (e.g., Scikit-learn, NumPy, Pandas), familiarity wit...

Overview: Blue Yonder is looking for an experienced Sr Gen AI Engineer to contribute to the design, development, and implementation of agentic AI-driven solutions at Blue Yonder. This role is not a research role and requires being hands-on and building agentic AI POCs from the ground up to demonstrate the art of the possible and business value . The Sr Gen AI Engineer will design, prototype and deploy agentic AI solutions that address customer pain points across Blue Yonder's global customer base. This role will work on cutting-edge projects that push the boundaries of Generative AI and machine learning in the supply chain and retail domains. What you'll do: Design, build and rapidly iterate...

Role Overview: As an AI Architect at our company, your main responsibility will be to scope out, design, and oversee the architecture of AI and machine learning solutions across products and platforms for our clients. You will collaborate with team members to translate business requirements into AI-enabled solutions at different stages, such as Roadmap, Proof of Value, Full Implementation, or Managed Service support capability and service offering. Additionally, you will assist in the selection of appropriate tools, frameworks, and technologies for AI development in the Google (GCP) cloud using related technologies. Your role will also involve creating reusable and scalable AI models and pip...