101 Ml Libraries Jobs - Page 4

As a Senior Data Scientist, you will utilize your expertise in machine learning, data analysis, and emerging technologies such as LLMs and Gen AI to extract valuable insights from data. Your role involves identifying trends, patterns, and opportunities within structured and unstructured data sets. Proposing and validating AI/ML use cases based on business requirements and stakeholder needs will be a crucial aspect of your responsibilities. You will be responsible for building, evaluating, and deploying machine learning models for various tasks such as classification, regression, and clustering. Additionally, you will collaborate with cross-functional teams to develop intelligent solutions us...

As an AI/ML Agent Developer at EXL, you will play a crucial role in designing, developing, and deploying intelligent agents within a multi-agent orchestration framework. Your primary responsibility will be to create autonomous agents that utilize LLMs, reinforcement learning, prompt engineering, and decision-making strategies to handle complex data and workflow tasks. Working closely with cross-functional teams, you will help in implementing AI solutions across various use cases such as annotation, data quality, knowledge graph construction, and enterprise automation. Your key responsibilities will include designing and implementing modular AI agents capable of autonomous decision-making, en...

As a Senior Data Scientist, you will leverage your expertise in machine learning, data analysis, and emerging technologies such as LLMs and Gen AI to drive business impact. Your primary responsibilities will include analyzing structured and unstructured data to uncover valuable insights, proposing AI/ML use cases aligned with business goals, and developing and deploying machine learning models for various purposes like classification, regression, and clustering. You will work collaboratively with cross-functional teams, including data engineers, product managers, and business stakeholders, to deliver end-to-end intelligent solutions. Utilizing tools like LLMs and GenAI, you will prototype an...

The Forward Deployed Engineer (FDE) - AI Enablement is a senior-level position where you will be responsible for achieving results through solutioning, developing, and implementing AI/ML capabilities as an individual contributor. As an FDE - AI Enablement, you are expected to stay updated on the latest developments in Citi and your field, contributing to the directional strategy by identifying applications within your organization and the business. Your key responsibilities will include enhancing the current toolset with AI/ML capabilities, solutioning for identified use cases, building quick proof-of-concept to showcase solutions, collaborating with the larger AI/ML stream across the data o...

You should have at least 2-7 years of experience in software engineering and ML development. Proficiency in Python and ML libraries like Scikit-learn, TensorFlow, or PyTorch is essential. Your responsibilities will include building and evaluating models, data preprocessing, and feature engineering. It is important to have a good understanding of REST APIs, Docker, Git, and CI/CD tools. A strong foundation in software engineering principles such as data structures, algorithms, and design patterns is required. Hands-on experience with MLOps platforms like MLflow, TFX, Airflow, and Kubeflow is preferred. Exposure to NLP, large language models (LLMs), or computer vision projects will be benefici...

As an AI / ML Engineer, you will be responsible for utilizing your expertise in the field of Artificial Intelligence and Machine Learning to develop innovative solutions. You should hold a Bachelor's or Master's degree in Computer Science, Engineering, Data Science, AI/ML, Mathematics, or a related field. With a minimum of 6 years of experience in AI/ML, you are expected to demonstrate proficiency in Python and various ML libraries such as scikit-learn, XGBoost, pandas, NumPy, matplotlib, and seaborn. In this role, you will need a strong understanding of machine learning algorithms and deep learning architectures including CNNs, RNNs, and Transformers. Hands-on experience with TensorFlow, Py...

As a seasoned leader in the field of Data, AI, and Automation, you will be responsible for packaging business solutions with clear ROI and effectively communicating the benefits to customers. You will play a crucial role in managing the P&L of the practice, leading a team of Architects, Technical Leads, and Engineers, and ensuring the smooth functioning of the entire team. Your ability to create and nurture a high-performing engineering team will be paramount, as you define and execute the organization's vision to be a leader in the Data, AI, and Automation space. You will set KPIs and objectives for the team that align with the organizational goals, and oversee the efficient allocation of p...

You will be working as a Machine Learning Intern for a duration of 6 months with a stipend of 20k per month. The internship involves a hybrid mode of working, with 3 days in the office and 2 days working from home. Your primary responsibilities will include designing and implementing cutting-edge machine learning models for complex tabular and time series data problems. Additionally, you will be tasked with developing innovative feature engineering techniques to maximize the value extracted from datasets. Researching and applying state-of-the-art algorithms in areas like automated machine learning (AutoML) and neural architecture search will also be part of your role. Furthermore, you will o...

As an IoT & AI Intern at Bharat Ecolabs, you will have the opportunity to support the development and integration of sensor networks, data pipelines, and AI models for our smart, modular Packaged Sewage Treatment Plants (STPs). Working out of the NASSCOM Center of Excellence for IoT & AI in Gurugram, you will collaborate closely with our core engineering team. Your key responsibilities will include assisting in the design and development of IoT-enabled sensor and control systems for STPs, building and testing data acquisition modules using sensors for various parameters, developing cloud-based or edge data pipelines for real-time monitoring, and supporting the development of AI/ML models for...

Automation Anywhere is a leader in AI-powered process automation, utilizing AI technologies to drive productivity and innovation across organizations. The company's Automation Success Platform offers a comprehensive suite of solutions including process discovery, RPA, end-to-end process orchestration, document processing, and analytics, all with a security and governance-first approach. By empowering organizations globally, Automation Anywhere aims to unleash productivity gains, drive innovation, enhance customer service, and accelerate business growth. Guided by the vision to enable the future of work through AI-powered automation, the company is committed to unleashing human potential. Lea...

As a Data Engineering Specialist, you will be responsible for assessing, capturing, and translating complex business issues into structured technical tasks for the data engineering team. This includes designing, building, launching, optimizing, and extending full-stack data and business intelligence solutions. Your role will involve supporting the build of big data environments, focusing on improving data pipelines and data quality, and working with stakeholders to meet business needs. You will create data access tools for the analytics and data scientist team, conduct code reviews, assist other developers, and train team members as required. Additionally, you will ensure that developed syst...

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 of Cloud servi...

Amity University Online, a leader in digital education with 1,60,000+ learners, is expanding its academic team for AI & Machine Learning programs. We invite experienced and passionate AI/ML professionals to join us in shaping next-gen tech talent. POSITIONS OPEN • PROFESSOR • ASSOCIATE PROFESSOR • ASSISTANT PROFESSOR • VISITING FACULTY • PROFESSOR OF PRACTICE ELIGIBILITY ACADEMIC QUALIFICATIONS • Masters degree in Computer Science, Engineering, Data Science, or related fields. • Ph.D. holders or research scholars in AI/ML are strongly encouraged to apply. TECHNICAL EXPERTISE • Proficiency in Python and ML libraries (TensorFlow, PyTorch, Keras, Scikit-learn) • Expertise in Supervised & Unsupe...

About Apexon: Apexon is a digital-first technology services firm specializing in accelerating business transformation and delivering human-centric digital experiences. We have been meeting customers wherever they are in the digital lifecycle and helping them outperform their competition through speed and innovation.Apexon brings together distinct core competencies in AI, analytics, app development, cloud, commerce, CX, data, DevOps, IoT, mobile, quality engineering and UX, and our deep expertise in BFSI, healthcare, and life sciences – to help businesses capitalize on the unlimited opportunities digital offers. Our reputation is built on a comprehensive suite of engineering services, a dedic...

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. Your programming skills should include proficiency in Python and SQL. You must have a strong understanding of ML libraries and applications such as Time series analysis, Neural Networks, SVMs, boosting methods, with implementation experience in Python. Experience with deep learning techniques is required. Excellent communication skills are essential to collaborate effectively with business SMEs and UX teams. You should also have intermediate knowledge of DevOps practices, including CICD, Automation, Build Management, and Vers...

About the Role: We are looking for a highly skilled and motivated Data Scientist with 35 years of experience to join our Data Innovation team. The ideal candidate will have strong analytical skills, hands-on experience in Computer Vision and Large Language Models (LLMs), and a proven track record of turning complex data into actionable insights and intelligent solutions. This role will involve working on high-impact AI solutions for unstructured data, including images and documents. Designation – Data Scientist Key Responsibilities: Design, develop, and deploy models for computer vision tasks such as object detection, image classification, OCR, segmentation, etc. Build and fine-tune LLM-base...

3-5 years of experience in ML/AI with at least 1 year in GenAI. Proficiency in Python and ML libraries (e.g., Hugging Face, LangChain, OpenAI). Strong skills in building APIs and deploying AI solutions. Experience in data pipeline development.

Job Title: TM-Data Scientist-Audit Innovation & Digital Transformation PURPOSE OF THE JOB To work as a junior data scientist and contribute to development of AI ML, NLP, and Gen AI solutions. Work on diverse projects involving data analysis, predictive modeling, AI/ML and Gen AI implementation while collaborating with cross-functional teams to drive data-driven analytics and decision making. KEY RESPONSIBILITIES Design and deploy machine learning pipelines for production environments Work with NLP techniques for text analysis, sentiment analysis Implement Gen AI solutions to automate content creation and data augmentation Contribute to Video Analytics projects using Computer Vision and Multi...

We are seeking an experienced professional in AI and machine learning with a strong focus on large language models (LLMs) for a 9-month project The role involves hands-on expertise in developing and deploying agentic systems and working with transformer architectures, fine-tuning, prompt engineering, and task adaptation Responsibilities include leveraging reinforcement learning or similar methods for goal-oriented autonomous systems, deploying models using MLOps practices, and managing large datasets in production environments The ideal candidate should excel in Python, ML libraries (Hugging Face Transformers, TensorFlow, PyTorch), data engineering principles, and cloud platforms (AWS, GCP, ...

What you will do Let s do this. Let s change the world. We are seeking a highly skilled Machine Learning Engineer with a strong MLOps background to join our team. You will play a pivotal role in building and scaling our machine learning models from development to production. Your expertise in both machine learning and operations will be essential in creating efficient and reliable ML pipelines. Roles & Responsibilities: Collaborate with data scientists to develop, train, and evaluate machine learning models. Build and maintain MLOps pipelines, including data ingestion, feature engineering, model training, deployment, and monitoring. Leverage cloud platforms (AWS, GCP, Azure) for ML model dev...

We are seeking a skilled and innovative AI/ML Engineer to design, develop, and implement machine learning models and artificial intelligence solutions that drive business impact. The ideal candidate will have strong experience in data science, statistical modeling, and deep learning frameworks, along with the ability to work in cross-functional teams. Build and deploy scalable ML models for classification, regression, recommendation, or NLP tasks. Collect, clean, and preprocess large datasets from various sources. Design and run experiments to evaluate model performance and improve accuracy. Collaborate with software engineers to integrate models into production systems. Stay updated with th...

Data Analytics Engineer / Data Scientist Location- Mysuru (Preferred) or Remote (India) Full-Time | 3+ Years Experience ABOUT HOPTEKAI: At Hoptek, a Kearney Company, were building AI-powered SaaS products that help trucking companies operate smarter from pricing freight and planning networks to allocating assets and reducing waste. We’re looking for a Data Analytics Engineer / Data Scientist who’s excited to solve hard operations problems, build AI models that get embedded into our products, and help our customers get smarter through data. If you love building applied ML solutions and developing new ideas at the intersection of logistics and optimization, this role is for you. POSITION OVERV...

AI/ML, AWS-based solutions. Amazon SageMaker, Python and ML libraries, data engineering on AWS, AI/ML algorithms &model deployment strategies.CI/CD, Cloud Formation, Terraform). AWS Certified Machine Learning. generative AI, real-time inference &edge

Data Analytics Engineer / Data Scientist Location- Mysuru (Preferred) or Remote (India) Full-Time | 3+ Years Experience ABOUT KEARNEY: Kearney is a leading global management consulting firm with more than 5,300 people working in more than 40 countries. We work with more than three-quarters of the Fortune Global 500, as well as with the most influential governmental and nonprofit organizations. Kearney is a partner-owned firm with a distinctive, collegial culture that transcends organizational and geographic boundariesand it shows. Regardless of location or rank, our consultants are down to earth, approachable, and have a shared passion for doing innovative client work that provides clear ben...

We are seeking a skilled and experienced Machine Learning Engineer specialized in Natural Language Processing (NLP) and Computer Vision to join our team. The ideal candidate should have a strong foundation in ML and AI principles, coupled with a proven track record of developing and deploying a minimum of 20+ models in these domains. Role & responsibilities Develop and implement state-of-the-art machine learning algorithms and models for NLP and computer vision applications. Collaborate with cross-functional teams to understand business requirements and translate them into technical solutions. Conduct thorough data analysis, pre-processing, and feature engineering to extract meaningful insig...