1399 Matplotlib Jobs

Position: Data Science Intern Company: IGNITERN Location: Remote Duration: 3–6 Months Stipend: Unpaid Type: Internship (Certificate Provided) About IGNITERN: IGNITERN is a forward-thinking digital solutions company dedicated to nurturing emerging talent in the tech space. We focus on real-world problem-solving, innovation, and offering early-career professionals an opportunity to explore and grow in their field. Internship Overview: We are seeking Data Science Interns who are passionate about data, eager to build models, analyze trends, and create insights that support business strategies. If you're enthusiastic about applying machine learning and statistical techniques in real-world contexts, this internship is for you. Roles & Responsibilities: Assist in collecting, cleaning, and preparing data for analysis Apply machine learning algorithms, statistical models, and exploratory data analysis techniques Collaborate with cross-functional teams to define problems and propose data-driven solutions Develop visualizations, predictive models, and performance reports Document processes and present findings in a clear, actionable format Who Can Apply: Students or recent graduates in Computer Science, Data Science, Engineering, Statistics, or a related field Must be available for at least 3 months This is a remote and unpaid internship focused on skill-building and learning Required Skills: Proficiency in Python (NumPy, pandas, etc.) Knowledge of machine learning concepts and basic algorithms Familiarity with data visualization tools like Matplotlib or Seaborn Strong analytical thinking and attention to detail Good written and verbal communication skills What You'll Gain: Practical, hands-on experience working on live projects Mentorship and collaboration with experienced data professionals Internship Certificate upon successful completion Portfolio development with real-world data science tasks Opportunity to grow in a supportive, learning-focused environment How to Apply: Send your resume and any supporting work (GitHub, Kaggle, reports, etc.) to: 📩 hello@ignitern.in Shortlisted candidates will be contacted for a brief assignment or interview.

Description Brief Job Overview The Digital & Innovation group at USP is seeking a Data Scientist with skills in advanced analytics (predictive modeling, machine learning, natural language processing) and data visualization to work on projects that drive innovations and deliver digital solutions. We are seeking someone who understands the power of data and enjoys communicating the insights and help create an unified experience across our ecosystem. How will YOU create impact here at USP? In this role at USP, you contribute to USP's public health mission of increasing equitable access to high-quality, safe medicine and improving global health through public standards and related programs. In addition, as part of our commitment to our employees, Global, People, and Culture, in partnership with the Equity Office, regularly invests in the professional development of all people managers. This includes training in inclusive management styles and other competencies necessary to ensure engaged and productive work environments. Use exploratory data analysis to spot anomalies, understand patterns, test hypotheses, or check assumptions. Apply various ML techniques to perform classification or regression tasks to drive business impact and address identified needs in an agile manner. Use natural language processing techniques to extract information and improve business workflows. Interpret and communicate results clearly and concisely to audiences with varying backgrounds and degrees of technical understanding. Collaborate with other data scientists, data engineers, and IT team to help ensure project delivery and success. Who is USP Looking For? The successful candidate will have a demonstrated understanding of our mission, commitment to excellence through inclusive and equitable behaviors and practices, ability to quickly build credibility with stakeholders, along with the following competencies and experience: Education: Bachelor’s degree in relevant field (e.g. Engineering, Analytics or Data Science, Computer Science, Statistics) or equivalent experience. Experience: Data Scientist: 3 – 6 years of hands-on experience in data science, advanced analytics, machine learning, statistics, and natural language processing Senior Data Scientist: 6 - 10 years of hands-on experience in data science, advanced analytics, machine learning, statistics, and natural language processing Technical proficiency in the following: python/packages: pandas, numpy, regex, scikit-learn, xgboost, and visualization packages (such as matplotlib, seaborn); SQL Proficiency in CNN/ RNN models. Proficiency in using GenAI concepts with graph data. Experience with data extraction and scraping. Experience with XML documents and DOM model. Additional Desired Preferences Master’s degree (Information Systems Management, Analytics, Data Engineering, Sciences, or other Quantitative program) Experience with scientific chemistry nomenclature or prior work experience in life sciences, chemistry, or hard sciences or degree in sciences Experience with pharmaceutical / IQVIA datasets and nomenclature Experience translating stakeholder needs into technical project outputs Experience working with knowledge graphs in conjunction with RAG patterns and Chunking methodologies. Ability to explain complex technical issues to a non-technical audience Self-directed and able to handle multiple concurrent projects and prioritize tasks independently Able to make tough decisions when trade-offs are required to deliver results Strong communication skills required: Verbal, written, and interpersonal Supervisory Responsibilities This is non-supervisory position Benefits USP provides the benefits to protect yourself and your family today and tomorrow. From company-paid time off and comprehensive healthcare options to retirement savings, you can have peace of mind that your personal and financial well-being is protected. Note: USP does not accept unsolicited resumes from 3rd party recruitment agencies and is not responsible for fees from recruiters or other agencies except under specific written agreement with USP. Who is USP? The U.S. Pharmacopeial Convention (USP) is an independent scientific organization that collaborates with the world's top authorities in health and science to develop quality standards for medicines, dietary supplements, and food ingredients. USP's fundamental belief that Equity = Excellence manifests in our core value of Passion for Quality through our more than 1,300 hard-working professionals across twenty global locations to deliver the mission to strengthen the supply of safe, quality medicines and supplements worldwide. At USP, we value inclusivity for all. We recognize the importance of building an organizational culture with meaningful opportunities for mentorship and professional growth. From the standards we create, the partnerships we build, and the conversations we foster, we affirm the value of Diversity, Equity, Inclusion, and Belonging in building a world where everyone can be confident of quality in health and healthcare. USP is proud to be an equal employment opportunity employer (EEOE) and affirmative action employer. We are committed to creating an inclusive environment in all aspects of our work—an environment where every employee feels fully empowered and valued irrespective of, but not limited to, race, ethnicity, physical and mental abilities, education, religion, gender identity, and expression, life experience, sexual orientation, country of origin, regional differences, work experience, and family status. We are committed to working with and providing reasonable accommodation to individuals with disabilities.

Job Title: Data Scientist – Python Experience: 3 to 6 Years Location: Remote Job Type: Full-Time Education: B.E./B.Tech or M.Tech in Computer Science, Data Science, Statistics, or a related field Job Summary We are seeking a talented and results-driven Data Scientist with 3–6 years of experience in Python-based data science workflows. This is a remote, full-time opportunity for professionals who are passionate about solving real-world problems using data and statistical modeling. The ideal candidate should be highly proficient in Python and have hands-on experience with data exploration, machine learning, model deployment, and working with large datasets. Key Responsibilities Analyze large volumes of structured and unstructured data to generate actionable insights Design, develop, and deploy machine learning models using Python and related libraries Collaborate with cross-functional teams including product, engineering, and business to define data-driven solutions Develop data pipelines and ensure data quality, consistency, and reliability Create and maintain documentation for methodologies, code, and processes Communicate findings and model results clearly to technical and non-technical stakeholders Continuously research and implement new tools, techniques, and best practices in data science Required Skills & Qualifications 3–6 years of experience in a data science role using Python Proficiency in Python data science libraries (Pandas, NumPy, Scikit-learn, Matplotlib, Seaborn) Strong statistical analysis and modeling skills Experience with machine learning algorithms (classification, regression, clustering, etc.) Familiarity with model evaluation, tuning, and deployment techniques Hands-on experience with SQL and working with large databases Exposure to cloud platforms (AWS, GCP, or Azure) is a plus Experience with version control (Git), Jupyter notebooks, and collaborative data tools Preferred Qualifications Advanced degree (Master’s preferred) in Computer Science, Data Science, Statistics, or a related discipline Experience with deep learning frameworks like TensorFlow or PyTorch is a plus Familiarity with MLOps tools such as MLflow, Airflow, or Docker Experience in remote team collaboration and agile project environments What We Offer 100% remote work with flexible hours Competitive compensation package Access to cutting-edge tools and real-world projects A collaborative and inclusive work culture Opportunities for continuous learning and professional development Job Type: Full-time Pay: ₹500,000.00 - ₹1,500,000.00 per year Schedule: Day shift Monday to Friday Morning shift Work Location: In person

Role: Data Science Trainer / Faculty Responsibilities: Conduct training sessions in Python, Machine Learning, Data Analysis , etc. Prepare study materials, assignments, and project guidelines. Guide students on live projects and case studies . Stay updated with latest trends in Data Science and tools. Requirements: Strong command of Python, NumPy, Pandas, Matplotlib, Scikit-learn . Knowledge of ML algorithms , model evaluation, and visualization. Good communication and mentoring skills. Graduation/Post-Graduation in Computer Science/Data Science or related field. Why Join Us? ✅ Friendly and supportive academic environment ✅ Scope for growth and certifications ✅ Opportunity to inspire the next generation of data professionals Job Type: Full-time Pay: ₹30,000.00 - ₹35,000.00 per month Benefits: Paid sick time Work Location: In person

Data Science Trainer Job Title: Data Science Trainer Organization: SkillCircle Location: Gurugram Employment Type: Full-time / Part Time Job Summary: SkillCircle is looking for a passionate and knowledgeable Data Science Trainer to mentor and guide students through their journey into the world of data science. The ideal candidate should have a strong foundation in Python, machine learning, data analytics, and the ability to simplify complex concepts for learners at various levels. Required Skills: Proficiency in Python, Pandas, NumPy, Scikit-learn, and Matplotlib/Seaborn. Knowledge of Machine Learning algorithms and their real-world applications. Understanding ofstatistics, data preprocessing, and EDA. Excellent communication and presentation skills. Ability to engage and inspire students from non-technical backgrounds. Eligibility Criteria: Bachelor’s degree in Computer Science, Data Science, Engineering, or a related field. 2–5 years of experience in teaching/training or industry experience in data science roles. Prior experience as a trainer or mentor is a plus. Certifications in Data Science or Machine Learning (preferred but not mandatory). Perks and Benefits: Competitive salary up to ₹50,000/month . Flexible working hours Exposure to a large network of learners and tech professionals. Opportunity to work on live projects and build personal brand through content/webinars.

Job Title: Python & Data Science Trainer Location: Kannur , Kerala Employment Type: Full-Time / Part-Time Experience: 06 to 2years ( Freshers also can apply) Qualification: Any Degree Reporting To: Academic Head / RTH Job Summary: We are seeking a skilled and passionate Python & Data Science Trainer to join our academic team. The trainer will be responsible for delivering high-quality training sessions to students, professionals, and corporate clients in Python programming, data analysis, and machine learning techniques. Key Responsibilities: Design and deliver comprehensive training modules in Python, Data Science, and Machine Learning Conduct classes (online/offline) for students, job seekers, and working professionals Develop curriculum content, assignments, projects, and real-world case studies Prepare assessments, quizzes, and capstone projects to evaluate student understanding Keep course material up to date with the latest industry trends and tools Guide students on projects and support them during practical sessions Assist in the development of internal tools, demos, and data-driven models Take ownership of student performance, engagement, and satisfaction Key Skills & Tools Required: Strong programming knowledge in Python Core Python , OOPs, File Handling, Libraries (NumPy, Pandas, Matplotlib, etc.) Data Analysis , Exploratory Data Analysis (EDA) , Data Cleaning Statistics & Probability for Data Science Machine Learning algorithms : Linear/Logistic Regression, Decision Trees, Random Forest, KNN, SVM, etc. Model evaluation techniques , Cross-validation, Confusion Matrix, etc. Hands-on with Jupyter Notebook , Google Colab , Anaconda Familiarity with SQL , Power BI/Tableau , or Deep Learning is a plus Excellent communication, presentation, and mentoring skills Preferred Certifications: Python Certification (e.g., PCEP, PCAP) Data Science Certification (Coursera, Udemy, IBM, Google, etc.) Machine Learning or AI specialization certificates Salary: As per industry standards Perks: Performance bonuses, training certifications, and growth opportunities Job Types: Full-time, Permanent, Fresher Pay: ₹12,000.00 - ₹20,000.00 per month Benefits: Leave encashment Paid time off Schedule: Day shift Fixed shift Morning shift Supplemental Pay: Yearly bonus Application Deadline: 04/08/2025 Expected Start Date: 04/08/2025

Job Title : Python Developer (Deep Learning / AI) Job Summary : We are seeking a highly skilled and experienced Python Developer with a strong background in Deep Learning to join our dynamic AI/ML team. The ideal candidate will be instrumental in designing, developing, and deploying advanced deep learning models, with a particular focus on face recognition systems and other computer vision applications. You will work on the entire ML lifecycle, from data acquisition and model training to deployment and optimization, contributing directly to our core AI initiatives. Key Responsibilities : ● Design, develop, and implement robust and scalable deep learning models for face recognition, object detection, and other computer vision tasks. ● Develop and maintain high-quality Python code for data preprocessing, model training, evaluation, and deployment. ● Collaborate with data scientists, AI researchers, and software engineers to integrate deep learning solutions into existing and new products. ● Perform extensive data analysis, feature engineering, and data augmentation to prepare datasets for deep learning models. ● Evaluate, optimize, and fine-tune deep learning models for performance, accuracy, and efficiency in production environments. ● Stay up-to-date with the latest advancements in deep learning, computer vision, and AI research, and apply relevant techniques to projects. ● Implement and adhere to best practices for MLOps, including version control, continuous integration/deployment (CI/CD) for ML models, and model monitoring. ● Contribute to the entire machine learning lifecycle, from problem definition and data exploration to model deployment and maintenance. ● Ensure the ethical and responsible development of AI systems, with a focus on bias detection and mitigation, and data privacy (e.g., GDPR compliance). Qualifications : Education : ● Bachelor's or Master's degree in Computer Science, Artificial Intelligence, Machine Learning, Electrical Engineering, or a related quantitative field. A Ph.D. is a plus. Experience : ● 3+ years of professional experience as a Python Developer, with a significant focus on deep learning projects. ● Proven experience in developing and deploying computer vision applications, specifically face recognition systems. Technical Skills : ● Expert-level proficiency in Python and its ecosystem for AI/ML (NumPy, Pandas, Matplotlib, Seaborn). ● Strong expertise in Deep Learning frameworks: TensorFlow and/or PyTorch (including Keras). ● In-depth knowledge of Convolutional Neural Networks (CNNs) and other relevant neural network architectures (e.g., RNNs, GANs, Transformers). ● Solid understanding of Computer Vision fundamentals and practical experience with libraries like OpenCV. ● Experience with face detection, face alignment, feature embedding (e.g., FaceNet), and face matching algorithms. ● Familiarity with liveness detection techniques is highly desirable. ● Proficiency in data manipulation, preprocessing, and feature engineering for large datasets. ● Strong understanding of core mathematical concepts: linear algebra, calculus, probability, and statistics. ● Experience with cloud platforms (AWS, Azure, GCP) for training and deploying ML models. ● Familiarity with MLOps tools and practices (e.g., Docker, MLflow, Kubernetes). ● Experience with version control systems (Git). Soft Skills ● Excellent problem-solving and analytical abilities. ● Strong communication and collaboration skills, with the ability to explain complex technical concepts to diverse audiences. ● High degree of curiosity and a passion for continuous learning in the rapidly evolving AI field. ● Proactive, adaptable, and able to work effectively in a fast-paced, team-oriented environment. ● Commitment to ethical AI development and data privacy. Bonus Points : ● Experience with other programming languages like C++ or Java for high-performance computing. ● Contributions to open-source AI/ML projects or relevant publications. ● Experience with distributed computing for large-scale model training. ● Knowledge of specialized hardware for AI (GPUs, TPUs). Interested candidates can forward their resume at hr@axepertexhibits.com or call at 9211659314. Job Type: Full-time Pay: ₹35,000.00 - ₹60,000.00 per month Schedule: Day shift Supplemental Pay: Overtime pay Work Location: In person

Overview Leading AI-driven Global Supply Chain Solutions Software Product Company and one of Glassdoor’s “Best Places to Work” Seeking an astute individual that has a strong technical foundation with the additional ability to be hands-on with the broader engineering team as part of the development/deployment cycle, and deep knowledge of industry best practices, Data Science and Machine Learning experience with the ability to implement them working with both the platform, and the product teams. Scope Our machine learning platform ingests data in real time, processes information from millions of retail items to serve deep learning models and produces billions of predictions on a daily basis. Blue Yonder Data Science and Machine Learning team works closely with sales, product and engineering teams to design and implement the next generation of retail solutions. Data Science team members are tasked with turning both small, sparse and massive data into actionable insights with measurable improvements to the customer bottom line. Our Current Technical Environment Software: Python 3.* Frameworks/Others: TensorFlow, PyTorch, BigQuery/Snowflake, Apache Beam, Kubeflow, Apache Flink/Dataflow, Kubernetes, Kafka, Pub/Sub, TFX, Apache Spark, and Flask. Application Architecture: Scalable, Resilient, Reactive, event driven, secure multi-tenant Microservices architecture. Cloud: Azure What We Are Looking For Bachelor’s Degree in Computer Science or related fields; graduate degree preferred. Solid understanding of data science and deep learning foundations. Proficient in Python programming with a solid understanding of data structures. Experience working with most of the following frameworks and libraries: Pandas, NumPy, Keras, TensorFlow, Jupyter, Matplotlib etc. Expertise in any database query language, SQL preferred. Familiarity with Big Data tech such as Snowflake , Apache Beam/Spark/Flink, and Databricks. etc. Solid experience with any of the major cloud platforms, preferably Azure and/or GCP (Google Cloud Platform). Reasonable knowledge of modern software development tools, and respective best practices, such as Git, Jenkins, Docker, Jira, etc. Familiarity with deep learning, NLP, reinforcement learning, combinatorial optimization etc. Provable experience guiding junior data scientists in official or unofficial setting. Desired knowledge of Kafka, Redis, Cassandra, etc. What You Will Do As a Senior Data Scientist, you serve as a specialist in the team that supports the team with following responsibilities. Independently, or alongside junior scientists, implement machine learning models by Procuring data from platform, client, and public data sources. Implementing data enrichment and cleansing routines Implementing features, preparing modelling data sets, feature selection, etc. Evaluating candidate models, selecting, and reporting on test performance of final one Ensuring proper runtime deployment of models, and Implementing runtime monitoring of model inputs and performance in order to ensure continued model stability. Work with product, sales and engineering teams helping shape up the final solution. Use data to understand patterns, come up with and test hypothesis; iterate. Help prepare sales materials, estimate hardware requirements, etc. Attend client meetings, online and onsite, to discuss new and current functionality Our Values If you want to know the heart of a company, take a look at their values. Ours unite us. They are what drive our success – and the success of our customers. Does your heart beat like ours? Find out here: Core Values All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability or protected veteran status.

About Us: Red & White Education Pvt. Ltd., established in 2008, is Gujarats top NSDC & ISO-certified institute focused on skill-based education and global employability. Role Overview: Were hiring a full-time Onsite AI, Machine Learning, and Data Science Faculty/ Trainer with strong communication skills and a passion for teaching, Key Responsibilities: Deliver high-quality lectures on AI, Machine Learning, and Data Science . Design and update course materials, assignments, and projects. Guide students on hands-on projects, real-world applications, and research work. Provide mentorship and support for student learning and career development. Stay updated with the latest trends and advancements in AI/ML and Data Science. Conduct assessments, evaluate student progress, and provide feedback. Participate in curriculum development and improvements. Skills & Tools: Core Skills: ML, Deep Learning, NLP, Computer Vision, Business Intelligence, AI Model Development, Business Analysis. Programming: Python, SQL (Must), Pandas, NumPy, Excel. ML & AI Tools: Scikit-learn (Must), XGBoost, LightGBM, TensorFlow, PyTorch (Must), Keras, Hugging Face. Data Visualization: Tableau, Power BI (Must), Matplotlib, Seaborn, Plotly. NLP & CV: Transformers, BERT, GPT, OpenCV, YOLO, Detectron2. Advanced AI: Transfer Learning, Generative AI, Business Case Studies. Education & Experience Requirements: Bachelor's/Master’s/Ph.D. in Computer Science, AI, Data Science, or a related field. Minimum 1+ years of teaching or industry experience in AI/ML and Data Science. Hands-on experience with Python, SQL, TensorFlow, PyTorch, and other AI/ML tools. Practical exposure to real-world AI applications, model deployment, and business analytics. For further information, please feel free to contact 7862813693 us via email at career@rnwmultimedia.edu.in Job Types: Full-time, Permanent Pay: ₹30,000.00 - ₹35,000.00 per month Benefits: Flexible schedule Leave encashment Paid sick time Paid time off Provident Fund Schedule: Day shift Supplemental Pay: Performance bonus Yearly bonus Application Question(s): Current Salary? Education: Bachelor's (Required) Experience: Teaching / Mentoring: 1 year (Required) AIML : 1 year (Required) Data science: 1 year (Preferred) Location: Varachha, Surat, Gujarat (Required) Work Location: In person

Launch Your Career in AI/ML – We’re Hiring Freshers! Location: Ahmedabad (Work from Office) Company: MPIRIC Web Services Role: AI/ML Intern Type: Full-Time | Internship | In-office Are you a recent graduate eager to explore the world of Artificial Intelligence & Machine Learning? Join our AI/ML Internship Program and gain real-world experience working on live projects, guided by industry experts. If you’re passionate about AI and love coding in Python, this is the opportunity for you! What You’ll Work With: Programming Languages: Python (must-have) (Bonus) C++ for performance-heavy tasks ML Frameworks: PyTorch or TensorFlow/Keras (hands-on with one is enough) Scikit-learn for traditional ML models Data Handling & Visualization: NumPy, Pandas, Matplotlib, Seaborn Comfortable with cleaning, analyzing & visualizing data Computer Vision (optional but cool): OpenCV for image processing YOLOv5/v8, MediaPipe (nice to have!) Deployment (basic exposure): Flask / FastAPI for APIs Docker (bonus) ONNX / TensorRT (only if you’re curious) Cloud & Tools: Google Colab (Required) Jupyter Notebooks ( Must-know) AWS/GCP/Azure (not required, but great if you’ve tried!) What You Should Know (Even at Basic Level): Linear Algebra, Calculus, Probability Cost Functions, Backpropagation Basics ML Concepts: Supervised vs Unsupervised CNNs, RNNs, Transformers – basic awareness Model evaluation: Accuracy, Precision, Recall, F1 Score Projects to Show (If You Have): Image classification / object detection YOLO-based mini projects Flask-deployed ML model Kaggle competition participation Anything cool on GitHub! What We’re Looking For: ✔ Strong desire to learn & grow ✔ Clear understanding of Python basics ✔ Enthusiasm for AI & solving problems ✔ Ability to explain your thought process ✔ Based in Ahmedabad (In-office internship only) What You’ll Get: Hands-on project experience Internship Certificate + LOR Mentorship from experienced developers Pre-placement opportunity for top performers Supportive, learning-focused environment Job Types: Full-time, Fresher Schedule: Monday to Friday Work Location: In person

🤖 Data Science Intern – Remote | Real Projects, Real Skills, Real Impact 📍 Location: Remote / Virtual 💼 Type: Internship (Unpaid) 🎁 Perks: Certificate after Completion || Letter of Recommendation (6 Months) 🕒 Schedule: Flexible (5–7 hours/week) Are you passionate about data, AI, and problem-solving? Join Skillfied Mentor and step into the world of data science with real projects, hands-on mentoring, and practical tools. This virtual internship is designed for students and fresh graduates who want to build real experience working on machine learning models , data pipelines , and predictive analytics . 🔧 What You’ll Do: Clean and prepare data for analysis and modeling Build and train basic machine learning models using Python Work on tools like Pandas, NumPy, Scikit-Learn, Jupyter Present findings in visual formats using Matplotlib/Seaborn Collaborate with peers and mentors during project reviews 🎓 What You’ll Gain: ✅ Full Python Course included during internship ✅ Hands-on experience with real-world ML and DS projects ✅ Internship Certificate + LOR (6 Months) ✅ Projects that enhance your resume and portfolio ✅ Work with tools & libraries used in the industry ✅ Fully remote – manage your schedule (5–7 hrs/week) 🗓️ Application Deadline: 5th August 2025 👉 Apply now and launch your Data Science journey with Skillfied Mentor!

Data Science Trainer Job Title: Data Science Trainer Organization: SkillCircle Location: Chandigarh Employment Type: Full-time / Part Time Job Summary: SkillCircle is looking for a passionate and knowledgeable Data Science Trainer to mentor and guide students through their journey into the world of data science. The ideal candidate should have a strong foundation in Python, machine learning, data analytics, and the ability to simplify complex concepts for learners at various levels. Required Skills: Proficiency in Python, Pandas, NumPy, Scikit-learn, and Matplotlib/Seaborn. Knowledge of Machine Learning algorithms and their real-world applications. Understanding ofstatistics, data preprocessing, and EDA. Excellent communication and presentation skills. Ability to engage and inspire students from non-technical backgrounds. Eligibility Criteria: Bachelor’s degree in Computer Science, Data Science, Engineering, or a related field. 2–5 years of experience in teaching/training or industry experience in data science roles. Prior experience as a trainer or mentor is a plus. Certifications in Data Science or Machine Learning (preferred but not mandatory). Perks and Benefits: Competitive salary up to ₹50,000/month . Flexible working hours Exposure to a large network of learners and tech professionals. Opportunity to work on live projects and build personal brand through content/webinars.

!!!! We are Hiring a Data Scientist (Remote)!!! Job Summary: We are seeking an experienced Data Scientist with 5 to 6 years of hands-on experience to join our analytics and AI/ML team. The ideal candidate has a strong background in statistics, machine learning, data engineering, and business analytics, and is capable of turning complex data into actionable insights and predictive solutions. Key Responsibilities: • Work with stakeholders to identify business problems and translate them into data science solutions. • Build, evaluate, and deploy machine learning and statistical models. • Perform data wrangling, feature engineering, and exploratory data analysis (EDA) on large datasets. • Design and implement data pipelines and ETL processes. • Collaborate with engineering teams to deploy models into production. • Interpret model results, validate assumptions, and communicate findings to non-technical stakeholders. • Continuously monitor model performance and retrain as necessary. • Stay up to date with the latest trends, tools, and technologies in data science and AI. Required Skills & Qualifications: • 5–6 years of experience in a data science or machine learning role. • Strong proficiency in Python (Pandas, NumPy, scikit-learn, TensorFlow/PyTorch) • Solid knowledge of machine learning algorithms, deep learning, NLP, or time series forecasting. • Experience with SQL and relational databases. • Experience with data visualization tools like QuickSight, Power BI, or Matplotlib/Seaborn. • Proficiency with cloud platforms like AWS. • Familiarity with version control systems (Git), Docker, and CI/CD workflows. • Strong communication skills and ability to present technical findings clearly to business stakeholders. Preferred Qualifications: • Master's in Computer Science, Statistics, Data Science, Mathematics, or a related field. • Experience working with big data tools such as Spark or Kafka. • Prior experience in industries such as healthcare or retail. • Background in MLOps or data science productization is a plus. Send the resume to HR@muverity.com

The Role We are hiring an AI/ML Developer (India), to join our India team, in support of a large global client! You will be responsible for developing, deploying, and maintaining AI and machine learning models. Your expertise in Python, cloud services, databases, and big data technologies will be instrumental in creating scalable and efficient AI applications. What You Will Be Doing •Develop, train, and deploy machine learning models for predictive analytics, classification, and clustering. •Implement AI-based solutions using frameworks such as TensorFlow, PyTorch, and Scikit-learn. •Work with cloud platforms including AWS (SageMaker, Lambda, S3), Azure, and Google Cloud (Vertex AI). •Integrate and fine-tune Hugging Face transformer models (e.g., BERT, GPT) for NLP tasks such as text classification, summarization, and sentiment analysis. •Develop AI automation solutions, including chatbot implementations using Microsoft Teams and Azure AI. •Work with big data technologies such as Apache Spark and Snowflake for large-scale data processing and analytics. •Design and optimize ETL pipelines for data quality management, transformation, and validation. •Utilize SQL, MySQL, PostgreSQL, and MongoDB for database management and query optimization. •Create interactive data visualizations using Tableau and Power BI to drive business insights. •Work with Large Language Models (LLMs) for AI-driven applications, including fine-tuning, training, and deploying model for conversational AI, text generation, and summarization. •Develop and implement Agentic AI systems, enabling autonomous decision-making AI agents that can adapt, learn, and optimize tasks in real-time. What You Bring Along •2+ years of experience applying AI to practical uses. •Strong programming skills in Python, SQL, and experience with ML frameworks such as TensorFlow, PyTorch, or Scikit-learn. •Knowledge of basic algorithms and object-oriented and functional design principles •Proficiency in using data analytics libraries like Pandas, NumPy, Matplotlib, and Seaborn. •Hands-on experience with cloud platforms such as AWS, Azure, and Google Cloud. •Experience with big data processing using Apache Spark and Snowflake. •Knowledge of NLP and AI model implementations using Hugging Face and cloud-based AI services. •Strong understanding of database management, query optimization, and data warehousing. •Experience with data visualization tools such as Tableau and Power BI. •Ability to work in a collaborative environment and adapt to new AI technologies. •Strong analytical and problem solving skills. Education: •Bachelor’s degree in computer science, Data Science, AI/ML, or a related field.

About Us: Red & White Education Pvt. Ltd., established in 2008, is Gujarats top NSDC & ISO-certified institute focused on skill-based education and global employability. Role Overview: Were hiring a full-time Onsite AI, Machine Learning, and Data Science Faculty/ Trainer with strong communication skills and a passion for teaching, Key Responsibilities: Deliver high-quality lectures on AI, Machine Learning, and Data Science . Design and update course materials, assignments, and projects. Guide students on hands-on projects, real-world applications, and research work. Provide mentorship and support for student learning and career development. Stay updated with the latest trends and advancements in AI/ML and Data Science. Conduct assessments, evaluate student progress, and provide feedback. Participate in curriculum development and improvements. Skills & Tools: Core Skills: ML, Deep Learning, NLP, Computer Vision, Business Intelligence, AI Model Development, Business Analysis. Programming: Python, SQL (Must), Pandas, NumPy, Excel. ML & AI Tools: Scikit-learn (Must), XGBoost, LightGBM, TensorFlow, PyTorch (Must), Keras, Hugging Face. Data Visualization: Tableau, Power BI (Must), Matplotlib, Seaborn, Plotly. NLP & CV: Transformers, BERT, GPT, OpenCV, YOLO, Detectron2. Advanced AI: Transfer Learning, Generative AI, Business Case Studies. Education & Experience Requirements: Bachelor's/Master’s/Ph.D. in Computer Science, AI, Data Science, or a related field. Minimum 1+ years of teaching or industry experience in AI/ML and Data Science. Hands-on experience with Python, SQL, TensorFlow, PyTorch, and other AI/ML tools. Practical exposure to real-world AI applications, model deployment, and business analytics. For further information, please feel free to contact 7862813693 us via email at career@rnwmultimedia.edu.in Job Types: Full-time, Permanent Pay: ₹30,000.00 - ₹35,000.00 per month Benefits: Flexible schedule Leave encashment Paid sick time Paid time off Provident Fund Schedule: Day shift Supplemental Pay: Performance bonus Yearly bonus Application Question(s): Current Salary? Education: Bachelor's (Required) Experience: Teaching / Mentoring: 1 year (Required) AIML : 1 year (Required) Data science: 1 year (Preferred) Location: Varachha, Surat, Gujarat (Required) Work Location: In person

Job Title: Python & Data Science Trainer Location: Kannur , Kerala Employment Type: Full-Time / Part-Time Experience: 06 to 2years ( Freshers also can apply) Qualification: Any Degree Reporting To: Academic Head / RTH Job Summary: We are seeking a skilled and passionate Python & Data Science Trainer to join our academic team. The trainer will be responsible for delivering high-quality training sessions to students, professionals, and corporate clients in Python programming, data analysis, and machine learning techniques. Key Responsibilities: Design and deliver comprehensive training modules in Python, Data Science, and Machine Learning Conduct classes (online/offline) for students, job seekers, and working professionals Develop curriculum content, assignments, projects, and real-world case studies Prepare assessments, quizzes, and capstone projects to evaluate student understanding Keep course material up to date with the latest industry trends and tools Guide students on projects and support them during practical sessions Assist in the development of internal tools, demos, and data-driven models Take ownership of student performance, engagement, and satisfaction Key Skills & Tools Required: Strong programming knowledge in Python Core Python , OOPs, File Handling, Libraries (NumPy, Pandas, Matplotlib, etc.) Data Analysis , Exploratory Data Analysis (EDA) , Data Cleaning Statistics & Probability for Data Science Machine Learning algorithms : Linear/Logistic Regression, Decision Trees, Random Forest, KNN, SVM, etc. Model evaluation techniques , Cross-validation, Confusion Matrix, etc. Hands-on with Jupyter Notebook , Google Colab , Anaconda Familiarity with SQL , Power BI/Tableau , or Deep Learning is a plus Excellent communication, presentation, and mentoring skills Preferred Certifications: Python Certification (e.g., PCEP, PCAP) Data Science Certification (Coursera, Udemy, IBM, Google, etc.) Machine Learning or AI specialization certificates Salary: As per industry standards Perks: Performance bonuses, training certifications, and growth opportunities Job Types: Full-time, Permanent, Fresher Pay: ₹12,000.00 - ₹20,000.00 per month Benefits: Leave encashment Paid time off Schedule: Day shift Fixed shift Morning shift Supplemental Pay: Yearly bonus Application Deadline: 04/08/2025 Expected Start Date: 04/08/2025

As a Data Mining Intern, you will have the opportunity to collaborate with our data science and analytics teams to extract valuable insights from large datasets. This position is ideal for individuals who are eager to enhance their skills in data mining, machine learning, and data analysis while making meaningful contributions to projects. Your main responsibilities will include assisting in data collection, cleaning, and preparation for analysis from various sources such as databases, spreadsheets, and APIs. You will utilize exploratory data analysis techniques to identify patterns, trends, and relationships within extensive datasets. Additionally, you will apply statistical methods, data mining algorithms, and machine learning models to derive insights from the data. In this role, you will also be involved in visualizing complex datasets using tools like Tableau, Power BI, or Python libraries (Matplotlib, Seaborn) to effectively communicate your findings. Furthermore, you will be tasked with preparing reports and presentations summarizing insights, trends, and recommendations based on data analysis. Collaboration with senior team members to support data-driven projects and contribute to the development of predictive models and solutions will also be a key aspect of your role. To qualify for this position, you should be currently pursuing or have recently completed a degree in Computer Science, Data Science, Statistics, Mathematics, or a related field. Proficiency in programming languages such as Python, R, or SQL for data manipulation and analysis is required. Basic knowledge of data mining techniques, statistical analysis, and machine learning concepts is also essential. Strong problem-solving skills, an affinity for data work, and the ability to present complex data findings clearly are important attributes for this role. Experience with data analysis tools like Python, R, SQL, Excel, and data visualization tools such as Tableau and Power BI will be beneficial. Familiarity with big data platforms like Hadoop and Spark, as well as machine learning algorithms and libraries like scikit-learn or TensorFlow, are desirable skills. Knowledge of statistical tools and methods is also advantageous. This is a full-time, permanent position with benefits including paid sick time. The work schedule is during the day shift, and the work location is in person.,

Choosing Capgemini means choosing a company where you will be empowered to shape your career in the way you'd like, where you'll be supported and inspired by a collaborative community of colleagues around the world, and where you'll be able to reimagine what's possible. Join us and help the world's leading organizations unlock the value of technology and build a more sustainable, more inclusive world. Backend Developer (Python/Django): - Strong working experience in Python-based Django, Flask framework. - Experience in developing microservices based design and architecture. - Strong programming knowledge in JavaScript, HTML5, Python, Restful API, gRPC API. - Programming experience & object-oriented concepts in Python. - Knowledge of Python libraries like Numpy, Pandas, Ppen3D, OpenCV, Matplotlib. - Knowledge of MySQL/Postgres/MSSQL database. - Knowledge of 3D geometry. - Knowledge of SSO/OpenID Connect/OAuth authentication protocols. - Working experience with version control systems like GitHub/BitBucket/GitLab. - Familiarity with continuous integration and continuous deployment (CI/CD) pipelines. As a Backend Developer, you will work in the area of Software Engineering, encompassing the development, maintenance, and optimization of software solutions/applications. You will apply scientific methods to analyze and solve software engineering problems, develop and apply software engineering practice and knowledge, exercise original thought and judgement, supervise the technical and administrative work of other software engineers, and build skills and expertise in your discipline to meet standard expectations for the role. Collaboration and teamwork with other software engineers and stakeholders are essential aspects of the role. Capgemini is a global business and technology transformation partner, helping organizations accelerate their dual transition to a digital and sustainable world. With a responsible and diverse team of 340,000 members across more than 50 countries, Capgemini leverages its over 55-year heritage to unlock technology's value for clients and address their business needs comprehensively. The Group's services and solutions span strategy, design, engineering, AI, cloud, and data, supported by deep industry expertise and a strong partner ecosystem. In 2023, the Group reported global revenues of 22.5 billion.,

As a Data Visualization and Web Development Specialist at Inclusive Minds, you will be a crucial part of the team responsible for transforming intricate electoral data into engaging visual representations that facilitate strategic decision-making for political campaigns. Your role will involve utilizing your expertise in web visualization frameworks like D3.js, Chart.js, Highcharts, or equivalent tools to present data in a user-friendly and impactful manner. Candidates aspiring to join our dynamic data and analytics team should possess a solid technical background encompassing the following key areas: - Proficiency in utilizing web visualization frameworks such as D3.js, Chart.js, Highcharts, or their equivalents to create visually appealing representations of data. - Strong command over SQL with practical experience in managing relational databases (optional). - Competence in programming languages like Python, R, or PHP for data processing, analytics, and visualization purposes. - Familiarity with libraries such as Pandas, NumPy, and Matplotlib for efficient data handling within the Python environment. - Ability to automate data processing workflows and derive actionable insights from complex datasets. - Proficient in HTML, CSS, and JavaScript for constructing and enhancing interactive web-based dashboards. - Knowledge of front-end frameworks like React.js or Vue.js would be advantageous. - Experience in integrating APIs and external data sources into web applications. - Understanding of database optimization techniques for efficient management of extensive electoral datasets. In this role, you will have the opportunity to contribute to the strategic decision-making process of political campaigns by translating data into visually compelling formats. Your expertise in data visualization and web development will be instrumental in shaping impactful electoral campaigns that drive social change and influence public policies positively.,

The Visualization & Storytelling (Analytics) Engineer is responsible for transforming complex data into compelling visual narratives that drive decision-making and communicate insights effectively. This role combines expertise in data analytics, visualization tools, and storytelling to create impactful dashboards, reports, and presentations that resonate with diverse stakeholders. As a Visualization & Storytelling (Analytics) Engineer, your primary responsibility will be to design and develop interactive dashboards, charts, and visualizations using tools like Tableau, Power BI, Looker, or D3.js. Your work will involve presenting data insights clearly and effectively through visually appealing representations. In addition to data visualization development, you will also be tasked with crafting data-driven narratives that translate complex analytical findings into actionable insights for both technical and non-technical audiences. Collaborating with data analysts and scientists, you will extract, clean, and analyze data from various sources to uncover trends, patterns, and insights that drive informed decision-making. Furthermore, your role will involve close collaboration with business units, product managers, and executives to understand requirements, define key performance indicators (KPIs), and tailor visualizations to meet their specific needs. Leveraging programming languages such as Python, R, and SQL, as well as visualization libraries like Matplotlib, Seaborn, and Plotly, you will build custom visualizations and automate workflows to enhance data storytelling capabilities. The ideal candidate for this role should have expertise in Tableau, Power BI, Python (Matplotlib, Seaborn, Plotly), Flask, Streamlit, and other relevant tools and technologies. This position plays a crucial role in making data easily consumable and actionable, emphasizing the importance of user interface elements and potential collaboration with UI development roles within the organization.,

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, PyTorch, or Keras is essential. You should also have expertise in data preprocessing, feature selection, exploratory data analysis (EDA), and model interpretability. Additionally, familiarity with API development and deploying models using frameworks like Flask, FastAPI, or similar tools is required. Experience with MLOps tools such as MLflow, Kubeflow, DVC, and Airflow will be beneficial. Knowledge of cloud platforms like AWS (SageMaker, S3, Lambda), GCP (Vertex AI), or Azure ML is preferred. Proficiency in version control using Git, CI/CD processes, and containerization with Docker is essential for this role. Bonus skills that would be advantageous include familiarity with NLP frameworks (e.g., spaCy, NLTK, Hugging Face Transformers), Computer Vision experience using OpenCV or YOLO/Detectron, and knowledge of Reinforcement Learning or Generative AI (GANs, LLMs). Experience with vector databases such as Pinecone or Weaviate, as well as LangChain for AI agent building, is a plus. Familiarity with data labeling platforms and annotation workflows will also be beneficial. In addition to technical skills, you should possess soft skills such as an analytical mindset, strong problem-solving abilities, effective communication, and collaboration skills. The ability to work independently in a fast-paced, agile environment is crucial. A passion for AI/ML and a proactive approach to staying updated with the latest developments in the field are highly desirable for this role.,

Description Who is USP? The U.S. Pharmacopeial Convention (USP) is an independent scientific organization that collaborates with the world's top authorities in health and science to develop quality standards for medicines, dietary supplements, and food ingredients. USP's fundamental belief that Equity = Excellence manifests in our core value of Passion for Quality through our more than 1,300 hard-working professionals across twenty global locations to deliver the mission to strengthen the supply of safe, quality medicines and supplements worldwide. At USP, we value inclusivity for all. We recognize the importance of building an organizational culture with meaningful opportunities for mentorship and professional growth. From the standards we create, the partnerships we build, and the conversations we foster, we affirm the value of Diversity, Equity, Inclusion, and Belonging in building a world where everyone can be confident of quality in health and healthcare. USP is proud to be an equal employment opportunity employer (EEOE) and affirmative action employer. We are committed to creating an inclusive environment in all aspects of our work—an environment where every employee feels fully empowered and valued irrespective of, but not limited to, race, ethnicity, physical and mental abilities, education, religion, gender identity, and expression, life experience, sexual orientation, country of origin, regional differences, work experience, and family status. We are committed to working with and providing reasonable accommodation to individuals with disabilities. Brief Job Overview The Digital & Innovation group at USP is seeking a Data Scientist with skills in advanced analytics (predictive modeling, machine learning, natural language processing) and data visualization to work on projects that drive innovations and deliver digital solutions. We are seeking someone who understands the power of data and enjoys communicating the insights and help create an unified experience across our ecosystem. How will YOU create impact here at USP? In this role at USP, you contribute to USP's public health mission of increasing equitable access to high-quality, safe medicine and improving global health through public standards and related programs. In addition, as part of our commitment to our employees, Global, People, and Culture, in partnership with the Equity Office, regularly invests in the professional development of all people managers. This includes training in inclusive management styles and other competencies necessary to ensure engaged and productive work environments. Use exploratory data analysis to spot anomalies, understand patterns, test hypotheses, or check assumptions. Apply various ML techniques to perform classification or regression tasks to drive business impact and address identified needs in an agile manner. Use natural language processing techniques to extract information and improve business workflows. Interpret and communicate results clearly and concisely to audiences with varying backgrounds and degrees of technical understanding. Collaborate with other data scientists, data engineers, and IT team to help ensure project delivery and success. Who is USP Looking For? Education The successful candidate will have a demonstrated understanding of our mission, commitment to excellence through inclusive and equitable behaviors and practices, ability to quickly build credibility with stakeholders, along with the following competencies and experience: Bachelor’s degree in relevant field (e.g. Engineering, Analytics or Data Science, Computer Science, Statistics) or equivalent experience. Experience Data Scientist: 3 – 6 years of hands-on experience in data science, advanced analytics, machine learning, statistics, and natural language processing Senior Data Scientist: 6 - 10 years of hands-on experience in data science, advanced analytics, machine learning, statistics, and natural language processing Technical proficiency in the following: python/packages: pandas, numpy, regex, scikit-learn, xgboost, and visualization packages (such as matplotlib, seaborn); SQL Proficiency in CNN/ RNN models. Proficiency in using GenAI concepts with graph data. Experience with data extraction and scraping. Experience with XML documents and DOM model. Additional Desired Preferences Master’s degree (Information Systems Management, Analytics, Data Engineering, Sciences, or other Quantitative program) Experience with scientific chemistry nomenclature or prior work experience in life sciences, chemistry, or hard sciences or degree in sciences Experience with pharmaceutical / IQVIA datasets and nomenclature Experience translating stakeholder needs into technical project outputs Experience working with knowledge graphs in conjunction with RAG patterns and Chunking methodologies. Ability to explain complex technical issues to a non-technical audience Self-directed and able to handle multiple concurrent projects and prioritize tasks independently Able to make tough decisions when trade-offs are required to deliver results Strong communication skills required: Verbal, written, and interpersonal Supervisory Responsibilities This is non-supervisory position Benefits USP provides the benefits to protect yourself and your family today and tomorrow. From company-paid time off and comprehensive healthcare options to retirement savings, you can have peace of mind that your personal and financial well-being is protected. Note: USP does not accept unsolicited resumes from 3rd party recruitment agencies and is not responsible for fees from recruiters or other agencies except under specific written agreement with USP. Job Category Information Technology Job Type Full-Time

Experience : 9.00 + years Salary : USD 54000.00 / year (based on experience) Expected Notice Period : 15 Days Shift : (GMT+05:30) Asia/Kolkata (IST) Opportunity Type : Remote Placement Type : Full Time Contract for 6 Months(40 hrs a week/160 hrs a month) (*Note: This is a requirement for one of Uplers' client - Andela) What do you need for this opportunity? Must have skills required: LLM (Large Language Models), Prompt Engineering, Retrieval-augmented generation (rag), Natural Language Processing, Data Science, Machine Learning, Python, SQL Andela is Looking for: Senior GenAI Engineer Description: Professionals in the areas of healthcare, legal, business, tax, accounting, finance, audit, risk, and compliance rely on client's market-leading information-enabled tools and software solutions to manage their business efficiently, deliver results to their clients, and succeed in an ever more dynamic world. Every day, our customers make critical decisions to help save lives, improve the way we do business, and build better judicial and regulatory systems. We help them get it right. As a Senior AI Engineer, you will contribute significantly to the design and development of GenAI services. Your contributions will involve enhancing AI capabilities to ensure scalability and reusability across a diverse set of applications. Your analytical and problem-solving skills will be essential, and we encourage you to leverage your coding knowledge to improve our engineering practices. Responsibilities: Contribute to the architecture, design & development of GenAI services that are integral to our product offerings and user experiences. Implement coding best practices to foster code modularity, reusability, and maintainability, enabling our AI services to remain flexible for future advancements. Collaborate with cross-functional and matrixed teams to integrate AI services into the wider product ecosystem, ensuring a smooth developer experience. Assess and optimize existing AI services to enhance performance and conform to the latest industry trends. Support and mentor other engineers, contributing to a culture that values technical skill and code quality. Stay informed on the latest AI technologies and programming techniques, exploring their applicability to our services. Qualifications: Bachelor''s degree in Computer Science, Artificial Intelligence, or a related field, or equivalent practical experience. 8+ years of experience, with experience in AI or machine learning projects. Proficiency in Python for relevant programming languages and frameworks for AI development. Strong knowledge in Machine Learning, Deep Learning, NLP, and AI. Strong hands-on expertise in libraries/frameworks/tools such as NumPy, SciPy, scikit-learn, pandas, matplotlib, spaCy, NLTK, jupyter, Transformers, etc. Experience with cloud-based platforms (AWS or Azure) for solution delivery Proven ability to develop scalable, reusable software components and services. Good knowledge of software engineering principles and architectural standards. Experience in working on and contributing to software project teams. Preferred Qualifications: Familiarity with GenAI concepts, technologies and their implementation. Experience working with OpenAI, Langchain, Azure AI Foundary and AWS Lambda. Experience with cloud-based development and familiarity with AI-related cloud services (e.g.,AWS, Azure, GCP). Interview Process: 1st round: technical interview with the team 2nd round: technical interview on systems design Overlap Hours: 6 hours with EST Contract Length: 6 months, renewable Full-time contractor role (8 hours/day) Device: Bring your own device Requirements & Notes: Assessment Path: Data Science preferred, or ML Engineer; Max All-in rate: $4500/month; Location: India and European Union; Working hours: 6-8 hours overlap with EST; Must-Haves: 8+ years of experience overall; Strong Data Science and Machine Learning foundations, SQL, Python, GenAI, Prompt Engineering, RAG. Location Requirements: Time Start on ASAP Not Available Must have skills: Natural Language Processing Machine Learning Data Science SQL Python Nice to have skills: Prompt Engineering LLM (Large Language Models) Retrieval-Augmented Generation (RAG) How to apply for this opportunity? Step 1: Click On Apply! And Register or Login on our portal. Step 2: Complete the Screening Form & Upload updated Resume Step 3: Increase your chances to get shortlisted & meet the client for the Interview! About Uplers: Our goal is to make hiring reliable, simple, and fast. Our role will be to help all our talents find and apply for relevant contractual onsite opportunities and progress in their career. We will support any grievances or challenges you may face during the engagement. (Note: There are many more opportunities apart from this on the portal. Depending on the assessments you clear, you can apply for them as well). So, if you are ready for a new challenge, a great work environment, and an opportunity to take your career to the next level, don't hesitate to apply today. We are waiting for you!

Experience : 9.00 + years Salary : USD 54000.00 / year (based on experience) Expected Notice Period : 15 Days Shift : (GMT+05:30) Asia/Kolkata (IST) Opportunity Type : Remote Placement Type : Full Time Contract for 6 Months(40 hrs a week/160 hrs a month) (*Note: This is a requirement for one of Uplers' client - Andela) What do you need for this opportunity? Must have skills required: LLM (Large Language Models), Prompt Engineering, Retrieval-augmented generation (rag), Natural Language Processing, Data Science, Machine Learning, Python, SQL Andela is Looking for: Senior GenAI Engineer Description: Professionals in the areas of healthcare, legal, business, tax, accounting, finance, audit, risk, and compliance rely on client's market-leading information-enabled tools and software solutions to manage their business efficiently, deliver results to their clients, and succeed in an ever more dynamic world. Every day, our customers make critical decisions to help save lives, improve the way we do business, and build better judicial and regulatory systems. We help them get it right. As a Senior AI Engineer, you will contribute significantly to the design and development of GenAI services. Your contributions will involve enhancing AI capabilities to ensure scalability and reusability across a diverse set of applications. Your analytical and problem-solving skills will be essential, and we encourage you to leverage your coding knowledge to improve our engineering practices. Responsibilities: Contribute to the architecture, design & development of GenAI services that are integral to our product offerings and user experiences. Implement coding best practices to foster code modularity, reusability, and maintainability, enabling our AI services to remain flexible for future advancements. Collaborate with cross-functional and matrixed teams to integrate AI services into the wider product ecosystem, ensuring a smooth developer experience. Assess and optimize existing AI services to enhance performance and conform to the latest industry trends. Support and mentor other engineers, contributing to a culture that values technical skill and code quality. Stay informed on the latest AI technologies and programming techniques, exploring their applicability to our services. Qualifications: Bachelor''s degree in Computer Science, Artificial Intelligence, or a related field, or equivalent practical experience. 8+ years of experience, with experience in AI or machine learning projects. Proficiency in Python for relevant programming languages and frameworks for AI development. Strong knowledge in Machine Learning, Deep Learning, NLP, and AI. Strong hands-on expertise in libraries/frameworks/tools such as NumPy, SciPy, scikit-learn, pandas, matplotlib, spaCy, NLTK, jupyter, Transformers, etc. Experience with cloud-based platforms (AWS or Azure) for solution delivery Proven ability to develop scalable, reusable software components and services. Good knowledge of software engineering principles and architectural standards. Experience in working on and contributing to software project teams. Preferred Qualifications: Familiarity with GenAI concepts, technologies and their implementation. Experience working with OpenAI, Langchain, Azure AI Foundary and AWS Lambda. Experience with cloud-based development and familiarity with AI-related cloud services (e.g.,AWS, Azure, GCP). Interview Process: 1st round: technical interview with the team 2nd round: technical interview on systems design Overlap Hours: 6 hours with EST Contract Length: 6 months, renewable Full-time contractor role (8 hours/day) Device: Bring your own device Requirements & Notes: Assessment Path: Data Science preferred, or ML Engineer; Max All-in rate: $4500/month; Location: India and European Union; Working hours: 6-8 hours overlap with EST; Must-Haves: 8+ years of experience overall; Strong Data Science and Machine Learning foundations, SQL, Python, GenAI, Prompt Engineering, RAG. Location Requirements: Time Start on ASAP Not Available Must have skills: Natural Language Processing Machine Learning Data Science SQL Python Nice to have skills: Prompt Engineering LLM (Large Language Models) Retrieval-Augmented Generation (RAG) How to apply for this opportunity? Step 1: Click On Apply! And Register or Login on our portal. Step 2: Complete the Screening Form & Upload updated Resume Step 3: Increase your chances to get shortlisted & meet the client for the Interview! About Uplers: Our goal is to make hiring reliable, simple, and fast. Our role will be to help all our talents find and apply for relevant contractual onsite opportunities and progress in their career. We will support any grievances or challenges you may face during the engagement. (Note: There are many more opportunities apart from this on the portal. Depending on the assessments you clear, you can apply for them as well). So, if you are ready for a new challenge, a great work environment, and an opportunity to take your career to the next level, don't hesitate to apply today. We are waiting for you!

Experience : 9.00 + years Salary : USD 54000.00 / year (based on experience) Expected Notice Period : 15 Days Shift : (GMT+05:30) Asia/Kolkata (IST) Opportunity Type : Remote Placement Type : Full Time Contract for 6 Months(40 hrs a week/160 hrs a month) (*Note: This is a requirement for one of Uplers' client - Andela) What do you need for this opportunity? Must have skills required: LLM (Large Language Models), Prompt Engineering, Retrieval-augmented generation (rag), Natural Language Processing, Data Science, Machine Learning, Python, SQL Andela is Looking for: Senior GenAI Engineer Description: Professionals in the areas of healthcare, legal, business, tax, accounting, finance, audit, risk, and compliance rely on client's market-leading information-enabled tools and software solutions to manage their business efficiently, deliver results to their clients, and succeed in an ever more dynamic world. Every day, our customers make critical decisions to help save lives, improve the way we do business, and build better judicial and regulatory systems. We help them get it right. As a Senior AI Engineer, you will contribute significantly to the design and development of GenAI services. Your contributions will involve enhancing AI capabilities to ensure scalability and reusability across a diverse set of applications. Your analytical and problem-solving skills will be essential, and we encourage you to leverage your coding knowledge to improve our engineering practices. Responsibilities: Contribute to the architecture, design & development of GenAI services that are integral to our product offerings and user experiences. Implement coding best practices to foster code modularity, reusability, and maintainability, enabling our AI services to remain flexible for future advancements. Collaborate with cross-functional and matrixed teams to integrate AI services into the wider product ecosystem, ensuring a smooth developer experience. Assess and optimize existing AI services to enhance performance and conform to the latest industry trends. Support and mentor other engineers, contributing to a culture that values technical skill and code quality. Stay informed on the latest AI technologies and programming techniques, exploring their applicability to our services. Qualifications: Bachelor''s degree in Computer Science, Artificial Intelligence, or a related field, or equivalent practical experience. 8+ years of experience, with experience in AI or machine learning projects. Proficiency in Python for relevant programming languages and frameworks for AI development. Strong knowledge in Machine Learning, Deep Learning, NLP, and AI. Strong hands-on expertise in libraries/frameworks/tools such as NumPy, SciPy, scikit-learn, pandas, matplotlib, spaCy, NLTK, jupyter, Transformers, etc. Experience with cloud-based platforms (AWS or Azure) for solution delivery Proven ability to develop scalable, reusable software components and services. Good knowledge of software engineering principles and architectural standards. Experience in working on and contributing to software project teams. Preferred Qualifications: Familiarity with GenAI concepts, technologies and their implementation. Experience working with OpenAI, Langchain, Azure AI Foundary and AWS Lambda. Experience with cloud-based development and familiarity with AI-related cloud services (e.g.,AWS, Azure, GCP). Interview Process: 1st round: technical interview with the team 2nd round: technical interview on systems design Overlap Hours: 6 hours with EST Contract Length: 6 months, renewable Full-time contractor role (8 hours/day) Device: Bring your own device Requirements & Notes: Assessment Path: Data Science preferred, or ML Engineer; Max All-in rate: $4500/month; Location: India and European Union; Working hours: 6-8 hours overlap with EST; Must-Haves: 8+ years of experience overall; Strong Data Science and Machine Learning foundations, SQL, Python, GenAI, Prompt Engineering, RAG. Location Requirements: Time Start on ASAP Not Available Must have skills: Natural Language Processing Machine Learning Data Science SQL Python Nice to have skills: Prompt Engineering LLM (Large Language Models) Retrieval-Augmented Generation (RAG) How to apply for this opportunity? Step 1: Click On Apply! And Register or Login on our portal. Step 2: Complete the Screening Form & Upload updated Resume Step 3: Increase your chances to get shortlisted & meet the client for the Interview! About Uplers: Our goal is to make hiring reliable, simple, and fast. Our role will be to help all our talents find and apply for relevant contractual onsite opportunities and progress in their career. We will support any grievances or challenges you may face during the engagement. (Note: There are many more opportunities apart from this on the portal. Depending on the assessments you clear, you can apply for them as well). So, if you are ready for a new challenge, a great work environment, and an opportunity to take your career to the next level, don't hesitate to apply today. We are waiting for you!