1574 Preprocess Jobs

Entity: Customers & Products Job Family Group: HSSE Group Job Description: Do you want to make a real contribution to the sustainability of our planet? Electric vehicles are having a huge impact on the energy transition, join bp pulse and you can be part of that impact! bp pulse is one of the fastest growing EV charging networks globally, and we need YOU to help us on our adventure to get to an Electric Future. We are seeking a motivated and detail-oriented Data Scientist to join our dynamic team, who will play and integral part in our continued growth. Improving how we use data and advanced analytics to optimise our sites identification, setup and commercial performance. The ideal candidate will have a strong foundation in data analysis, statistical methods, machine learning and Python programming. This role offers an excellent opportunity to apply your skills to real-world problems. Role Summary Data Collection and Cleaning: Gather, preprocess, and clean data from various sources to ensure data quality and integrity. Data Analysis: Perform exploratory data analysis to uncover trends, patterns, insights. Model Development: Developing, testing, and validating predictive models using machine learning. Python Programming: Write efficient and maintainable Python code for data manipulation, analysis, and model implementation. Visualization: Create clear and informative data visualizations to communicate findings to stakeholders. Collaboration: Work closely with cross-functional teams to understand business requirements and deliver data-driven solutions. Documentation: Maintain thorough documentation of methodologies, processes, and code. Qualifications Education: Bachelor’s degree in Data Science, Computer Science, Statistics, Mathematics, or a related field. Technical Skills Strong SQL & Python knowledge and a good understanding of cloud computing and cloud deployment (ideally AWS) Analytical Skills: Strong problem-solving abilities and attention to detail and eager to learn. Communication Skills: Excellent verbal and written communication skills. Team Player: Ability to work effectively in a collaborative team environment. Preferred Qualifications Minimum 3 years of experience in data science, analysis or engineering with proven delivery of ML projects. Knowledge of machine learning algorithms and their practical applications. experience with customer or geospatial data is a plus. Experience with time series forecasting or causal models is plus as well. Why Join our team? At bp, we support our people to learn and grow in a diverse and challenging environment. We believe that our team is strengthened by diversity. We are committed to crafting an inclusive environment in which everyone is respected and treated fairly. Diversity Statement: At bp, we provide an excellent environment and benefits such as an open and inclusive culture, a great work-life balance, tremendous learning and development opportunities to craft your career path, life and health insurance, medical care package and many others! Diversity sits at the heart of our company and as an equal opportunity employer, we stay true to our mission by ensuring that our place can be anyone's place. We do not discriminate based on race, religion, colour, national origin, gender and gender identity, sexual orientation, age, marital status, veteran status or disability status. We will ensure that individuals with disabilities are provided reasonable accommodation to participate in the job application and interview process, to perform crucial job functions, and to receive other benefits and privileges of employment. Travel Requirement Negligible travel should be expected with this role Relocation Assistance: This role is eligible for relocation within country Remote Type: This position is not available for remote working Skills: AWS Cloud Computing, Cloud Deployment, Data Cleansing, Data Science, Digital data collection, Machine Learning, Python for Data Analysis, Spark SQL Legal Disclaimer: We are an equal opportunity employer and value diversity at our company. We do not discriminate on the basis of race, religion, color, national origin, sex, gender, gender expression, sexual orientation, age, marital status, socioeconomic status, neurodiversity/neurocognitive functioning, veteran status or disability status. Individuals with an accessibility need may request an adjustment/accommodation related to bp’s recruiting process (e.g., accessing the job application, completing required assessments, participating in telephone screenings or interviews, etc.). If you would like to request an adjustment/accommodation related to the recruitment process, please contact us. If you are selected for a position and depending upon your role, your employment may be contingent upon adherence to local policy. This may include pre-placement drug screening, medical review of physical fitness for the role, and background checks.

🤖 Machine Learning Intern SkillFied Mentor , a trusted IT & Business Consulting platform, is inviting applications for an exciting Machine Learning Internship designed to help students and fresh graduates gain real-world AI and ML experience . This program is perfect for those looking to develop practical skills in algorithm design, predictive modeling, and data-driven problem-solving . 📌 Program Highlights 🌍 Mode: Remote | Work from Anywhere ⏳ Duration: 6 Months (flexible scheduling with set deadlines) 📊 Projects: 7–8 Live, Industry-Level ML Capstone Projects 🏅 Credentials: Internship Certificate + Performance-Based Letter of Recommendation 💰 Stipend: Unpaid (focus on advanced learning & career-building) 🛠️ Key Responsibilities Collect, preprocess, and analyze datasets to train ML models. Develop and implement machine learning algorithms for real business scenarios. Work on projects involving predictive analytics, deep learning, and natural language processing (NLP) . Create data visualizations and performance reports using Python, R, or relevant ML frameworks. Collaborate with mentors to design deployable ML solutions . 🌟 Benefits of Joining Gain hands-on exposure to cutting-edge tools like TensorFlow, Scikit-learn, PyTorch, and Keras . Build a portfolio of real industry-level ML projects to showcase on your resume and LinkedIn. Get one-on-one guidance from experienced ML professionals. Earn a recognized certificate and a Letter of Recommendation to boost your career opportunities. Join a thriving network of 5,000+ successful SkillFied Mentor interns . 👥 Who Can Apply Students, recent graduates, or career changers passionate about Machine Learning, AI, or Data Science . Basic understanding of Python and mathematics/statistics is helpful but not mandatory . 🚀 Step into the future of technology! Gain the skills, projects, and mentorship needed to start a successful career in Machine Learning with SkillFied Mentor. 👉 Apply now and build intelligent solutions that make an impact!

🤖 Data Science Intern – Remote | Real-World Projects & Certification SkillFied Mentor , a leading IT & Business Consulting platform, is inviting applications for an exciting Data Science Internship designed for students and fresh graduates eager to gain hands-on experience in data analysis, machine learning, and predictive modeling . This program is perfect for anyone looking to turn raw data into actionable insights and build a strong foundation for a career in Data Science . 📌 Program Highlights 🌍 Mode: Remote | Flexible Working Hours ⏳ Duration: Flexible 📊 Projects: 7–8 Live, Industry-Level Capstone Projects 🏅 Credentials: Internship Certificate + Performance-Based Letter of Recommendation 💰 Stipend: Unpaid (focus on learning & career growth) 🛠️ Key Responsibilities Collect, clean, and preprocess large datasets for analysis. Apply machine learning algorithms to solve real-world problems. Build predictive models and evaluate their performance. Create data visualizations, dashboards, and reports using tools like Python, R, SQL, and Power BI/Tableau . Collaborate with mentors on live industry projects to develop scalable solutions. 🌟 Benefits of Joining Practical exposure to machine learning, AI, and statistical modeling . Opportunity to work on real datasets and business problems . Continuous mentoring from data science professionals . Career-boosting credentials including a recognized certificate and Letter of Recommendation . Join a thriving community of 5,000+ successful SkillFied Mentor interns . 👥 Who Can Apply Students, recent graduates, or career changers interested in Data Science, AI, or Big Data Analytics . Basic knowledge of Python, R, or SQL is a plus but not mandatory . 🚀 Kickstart your journey in Data Science with SkillFied Mentor! Gain the skills, projects, and recognition you need to launch a successful career in this high-demand field. Apply now and start transforming data into decisions!

🤖 Data Science Intern – Remote | Real-World Projects & Certification SkillFied Mentor , a leading IT & Business Consulting platform, is inviting applications for an exciting Data Science Internship designed for students and fresh graduates eager to gain hands-on experience in data analysis, machine learning, and predictive modeling . This program is perfect for anyone looking to turn raw data into actionable insights and build a strong foundation for a career in Data Science . 📌 Program Highlights 🌍 Mode: Remote | Flexible Working Hours ⏳ Duration: Flexible 📊 Projects: 7–8 Live, Industry-Level Capstone Projects 🏅 Credentials: Internship Certificate + Performance-Based Letter of Recommendation 💰 Stipend: Unpaid (focus on learning & career growth) 🛠️ Key Responsibilities Collect, clean, and preprocess large datasets for analysis. Apply machine learning algorithms to solve real-world problems. Build predictive models and evaluate their performance. Create data visualizations, dashboards, and reports using tools like Python, R, SQL, and Power BI/Tableau . Collaborate with mentors on live industry projects to develop scalable solutions. 🌟 Benefits of Joining Practical exposure to machine learning, AI, and statistical modeling . Opportunity to work on real datasets and business problems . Continuous mentoring from data science professionals . Career-boosting credentials including a recognized certificate and Letter of Recommendation . Join a thriving community of 5,000+ successful SkillFied Mentor interns . 👥 Who Can Apply Students, recent graduates, or career changers interested in Data Science, AI, or Big Data Analytics . Basic knowledge of Python, R, or SQL is a plus but not mandatory . 🚀 Kickstart your journey in Data Science with SkillFied Mentor! Gain the skills, projects, and recognition you need to launch a successful career in this high-demand field. Apply now and start transforming data into decisions!

Artificial Intelligence & Machine Learning Intern (Remote | 3 Months) Company: INLIGHN TECH Location: Remote Duration: 3 Months Stipend (Top Performers): ₹15,000 Perks: Certificate | Letter of Recommendation | Hands-on Training About INLIGHN TECH INLIGHN TECH empowers students and recent graduates through hands-on, project-based internships. Our AI & ML Internship is tailored to develop your expertise in building intelligent systems using real-world datasets and machine learning algorithms. Role Overview As an AI & ML Intern , you’ll work on projects involving model development, data preprocessing, and algorithm implementation. You'll gain practical experience applying artificial intelligence concepts to solve real business problems. Key Responsibilities Collect and preprocess structured and unstructured data Implement supervised and unsupervised machine learning algorithms Work on deep learning models using frameworks like TensorFlow or PyTorch Evaluate model performance and tune hyperparameters Develop intelligent solutions and predictive systems Collaborate with peers on AI-driven projects Requirements Pursuing or recently completed a degree in Computer Science, AI, Data Science, or a related field Proficient in Python and libraries such as Pandas, NumPy, Scikit-learn Familiar with machine learning and deep learning concepts Knowledge of TensorFlow, Keras, or PyTorch is a plus Strong mathematical and analytical thinking Enthusiastic about AI/ML innovations and eager to learn What You’ll Gain Real-world experience developing AI and ML models Internship Completion Certificate Letter of Recommendation for high-performing interns Portfolio of AI/ML projects for career building Potential full-time offer based on performance

Company: Pixeltalent Lab Location: Remote Duration: 1–3 Months Stipend: ₹15,000 (Fixed) Perks: Certificate | Letter of Recommendation | Hands-on Training About Pixeltalent Lab Pixeltalent Lab offers project-based internships designed to help aspiring machine learning engineers gain hands-on experience in model development, deployment, and optimization. Our Machine Learning Engineer Internship focuses on supervised and unsupervised learning, feature engineering, and real-world ML applications using Python-based tools. Role Overview As a Machine Learning Engineer Intern, you’ll work on designing, training, and evaluating machine learning models for classification, regression, and clustering tasks. You’ll gain practical exposure to data pipelines, model tuning, and deployment workflows using libraries like scikit-learn, TensorFlow, or PyTorch. Key Responsibilities Collect, clean, and preprocess structured and unstructured data Engineer features and select appropriate algorithms for ML tasks Train and evaluate models using scikit-learn, TensorFlow, or PyTorch Optimize model performance through hyperparameter tuning and validation Deploy models in test environments and monitor performance metrics Document experiments and maintain reproducible workflows using Git Requirements Pursuing or recently completed a degree in Machine Learning, Data Science, Computer Science, or related field Proficiency in Python and ML libraries such as scikit-learn, TensorFlow, or PyTorch Strong understanding of supervised and unsupervised learning techniques Familiarity with data preprocessing, feature engineering, and model evaluation Basic knowledge of Git and collaborative development practices Analytical mindset with attention to detail Ability to work independently and meet project deadlines What You’ll Gain Practical experience in machine learning model development and deployment Internship Completion Certificate Letter of Recommendation for top performers Exposure to real-world datasets and ML workflows A portfolio of trained models, notebooks, and deployment scripts

Company: Pixeltalent Lab Location: Remote Duration: 1–3 Months Stipend (Top Performers): ₹15,000 Perks: Certificate | Letter of Recommendation | Hands-on Training About Pixeltalent Lab Pixeltalent Lab offers project-based internships designed to help aspiring data scientists and ML engineers gain practical experience. Our Machine Learning Internship provides exposure to real-world datasets, model development, and deployment workflows. Role Overview As a Machine Learning Intern, you’ll work on building, training, and evaluating ML models using Python and popular libraries. You’ll contribute to data preprocessing, feature engineering, and model optimization tasks across live projects. Key Responsibilities Collect, clean, and preprocess structured and unstructured data Implement ML algorithms using libraries such as scikit-learn, TensorFlow, or PyTorch Perform exploratory data analysis and feature selection Train, test, and validate predictive models Optimize model performance and interpret results Document workflows and collaborate with team members Requirements Pursuing or recently completed a degree in Computer Science, Data Science, or related field Proficiency in Python and ML libraries (scikit-learn, pandas, NumPy) Understanding of supervised and unsupervised learning techniques Familiarity with Jupyter Notebooks and version control (Git) Strong analytical and problem-solving skills Ability to work independently and meet deadlines What You’ll Gain Hands-on experience with end-to-end ML workflows Internship Completion Certificate Letter of Recommendation for top performers Exposure to real datasets and model deployment practices A portfolio of ML projects and documented case studies

Company: Pixeltalent Lab Location: Remote Duration: 1–3 Months Stipend (Top Performers): ₹15,000 Perks: Certificate | Letter of Recommendation | Hands-on Training About Pixeltalent Lab Pixeltalent Lab offers project-based internships designed to equip aspiring data professionals with practical, industry-relevant experience. Our Data Science Internship focuses on solving real-world problems using data-driven approaches, preparing candidates for roles in analytics, machine learning, and business intelligence. Role Overview As a Data Science Intern, you’ll work with structured and unstructured datasets, apply statistical and machine learning techniques, and deliver insights that support data-informed decisions. This internship is ideal for candidates looking to build a strong foundation in applied data science. Key Responsibilities Collect, clean, and preprocess data for analysis Perform exploratory data analysis and feature engineering Build and evaluate models for classification, regression, and clustering Visualize data using Python libraries or BI tools Document findings and present insights to internal teams Collaborate on live projects with peers and mentors Requirements Pursuing or recently completed a degree in Data Science, Computer Science, Statistics, or a related field Proficiency in Python and libraries such as Pandas, NumPy, Matplotlib, Scikit-learn Familiarity with machine learning algorithms and model evaluation techniques Basic understanding of SQL and data querying Strong analytical mindset and attention to detail Willingness to learn and adapt in a fast-paced environment What You’ll Gain Hands-on experience with real datasets and tools Internship Completion Certificate Letter of Recommendation for top performers Exposure to collaborative data workflows A portfolio of completed data science projects

Company: Pixeltalent Lab Location: Remote Duration: 1–3 Months Stipend (Top Performers): ₹10,000–₹15,000 Perks: Certificate | Letter of Recommendation | Hands-on Training About Pixeltalent Lab Pixeltalent Lab offers project-based internships designed to help aspiring analysts gain practical experience with real-world datasets. Our Data Analysis Internship focuses on extracting insights, visualizing trends, and supporting data-driven decision-making across live projects. Role Overview As a Data Analysis Intern, you’ll work on collecting, cleaning, and analyzing data using tools like Excel, Python, and SQL. You’ll contribute to dashboards, reports, and exploratory analysis that inform business and technical decisions. Key Responsibilities Clean and preprocess structured and unstructured datasets Perform exploratory data analysis (EDA) to identify patterns and trends Create visualizations using tools like Excel, Tableau, or matplotlib Write queries in SQL to extract and manipulate data Assist in preparing reports and presentations based on findings Collaborate with cross-functional teams to support project goals Requirements Pursuing or recently completed a degree in Data Science, Statistics, Computer Science, or related field Proficiency in Excel and basic Python (pandas, NumPy) or R Familiarity with SQL and data visualization tools Strong analytical and problem-solving skills Attention to detail and ability to communicate findings clearly Ability to work independently and meet deadlines What You’ll Gain Hands-on experience with real-world data analysis workflows Internship Completion Certificate Letter of Recommendation for top performers Exposure to business intelligence tools and reporting practices A portfolio of data analysis projects and visualizations

Company: Pixeltalent Lab Location: Remote Duration: 1–3 Months Stipend (Top Performers): ₹15,000 Perks: Certificate | Letter of Recommendation | Hands-on Training About Pixeltalent Lab Pixeltalent Lab is committed to bridging the gap between academic learning and industry readiness. Our Data Analyst Internship offers a practical, project-driven experience where interns tackle real-world datasets, build analytical models, and deliver insights that matter. Role Overview As a Data Analyst Intern, you’ll work with diverse datasets, apply machine learning techniques, and uncover trends that drive strategic decisions. This internship is ideal for those looking to build a strong foundation in data science and analytics. Key Responsibilities Collect, clean, and preprocess data for analysis Apply statistical and machine learning techniques Build models for classification, regression, and clustering tasks Develop dashboards and visualizations using Python or Power BI Present actionable insights to internal stakeholders Collaborate with a team of peers on live data projects Requirements Currently pursuing or recently completed a degree in Computer Science, Data Science, Mathematics, or a related field Solid understanding of Python and key libraries: Pandas, NumPy, Scikit-learn Familiarity with machine learning algorithms and SQL Strong analytical and problem-solving abilities Eagerness to learn and grow in a fast-paced environment What You’ll Gain Real-world experience with industry-standard tools and datasets Internship Completion Certificate Letter of Recommendation for outstanding contributors Potential for full-time opportunities A portfolio of completed data science projects

Company: Pixeltalent Lab Location: Remote Duration: 1–3 Months Stipend: ₹15,000 (Fixed) Perks: Certificate | Letter of Recommendation | Hands-on Training About Pixeltalent Lab Pixeltalent Lab offers project-based internships designed to help aspiring data professionals gain real-world experience in data analysis, machine learning, and predictive modeling. Our Data Scientist Internship focuses on data wrangling, exploratory analysis, and building models using Python-based tools. Role Overview As a Data Scientist Intern, you’ll work on analyzing datasets, building predictive models, and generating actionable insights. You’ll gain hands-on experience with Python, pandas, scikit-learn, and visualization libraries while contributing to internal analytics or client-facing projects. Key Responsibilities Clean, preprocess, and analyze structured and unstructured datasets Perform exploratory data analysis and visualize key trends Build and evaluate machine learning models using scikit-learn or similar libraries Communicate findings through dashboards, reports, or presentations Collaborate with developers and domain experts to refine data pipelines Document workflows and maintain reproducible code using Git Requirements Pursuing or recently completed a degree in Data Science, Computer Science, Statistics, or related field Proficiency in Python and libraries such as pandas, NumPy, and matplotlib Familiarity with machine learning algorithms and model evaluation techniques Basic understanding of SQL and data querying Experience with Git and collaborative coding practices Strong analytical thinking and attention to detail Ability to work independently and meet deadlines What You’ll Gain Practical experience in data science workflows and model building Internship Completion Certificate Letter of Recommendation for top performers Exposure to real-world datasets and business-driven analytics A portfolio of notebooks, models, and visualizations

Machine Learning Intern (Paid) Company: Unified Mentor Location: Remote Duration: 3 months Opportunity: Full-time based on performance, with Certificate of Internship Application Deadline: 15th September 2025 About Unified Mentor Unified Mentor provides students and graduates with hands-on learning opportunities and career growth in Machine Learning and Data Science. Role Overview As a Machine Learning Intern, you will work on real-world projects, enhancing your practical skills in data analysis and model development. Responsibilities ✅ Design, test, and optimize machine learning models ✅ Analyze and preprocess datasets ✅ Develop algorithms and predictive models ✅ Use tools like TensorFlow, PyTorch, and Scikit-learn ✅ Document findings and create reports Requirements 🎓 Enrolled in or a graduate of a relevant program (Computer Science, AI, Data Science, or related field) 🧠 Knowledge of machine learning concepts and algorithms 💻 Proficiency in Python or R (preferred) 🤝 Strong analytical and teamwork skills Benefits 💰 Stipend: ₹7,500 - ₹15,000 (Performance-Based) (Paid) ✔ Hands-on machine learning experience ✔ Internship Certificate & Letter of Recommendation ✔ Real-world project contributions for your portfolio Equal Opportunity Unified Mentor is an equal-opportunity employer, welcoming candidates from all backgrounds.

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

Data Science Intern (Paid) Company: Unified Mentor Location: Remote Duration: 3 months Application Deadline: 15th September 2025 Opportunity: Full-time role based on performance + Internship Certificate About Unified Mentor Unified Mentor provides aspiring professionals with hands-on experience in data science through industry-relevant projects, helping them build successful careers. Responsibilities Collect, preprocess, and analyze large datasets Develop predictive models and machine learning algorithms Perform exploratory data analysis (EDA) to extract insights Create data visualizations and dashboards for effective communication Collaborate with cross-functional teams to deliver data-driven solutions Requirements Enrolled in or a graduate of Data Science, Computer Science, Statistics, or a related field Proficiency in Python or R for data analysis and modeling Knowledge of machine learning libraries such as scikit-learn, TensorFlow, or PyTorch (preferred) Familiarity with data visualization tools like Tableau, Power BI, or Matplotlib Strong analytical and problem-solving skills Excellent communication and teamwork abilities Stipend & Benefits Stipend: ₹7,500 - ₹15,000 (Performance-Based) (Paid) Hands-on experience in data science projects Certificate of Internship & Letter of Recommendation Opportunity to build a strong portfolio of data science models and applications Potential for full-time employment based on performance How to Apply Submit your resume and a cover letter with the subject line "Data Science Intern Application." Equal Opportunity: Unified Mentor welcomes applicants from all backgrounds.

Job Title: Data Science Intern - AI/ML Solutions Job Type: Internship (On-Site - West Delhi) Duration: 6 Months Location: Delhi Pre Placement Offer (Based on performance) To apply kindly Fill this form - https://forms.gle/ytAXm9wdaMcVT1XT6 At FloData Analytics, we’re seeking a versatile Data Science Intern with curiosity across Machine Learning, Computer Vision, and Generative AI. The ideal candidate should demonstrate curiosity and adaptability in exploring diverse AI applications, from classical ML algorithms to cutting-edge generative models and vision systems. You’ll work on real-world, cross-domain projects, combining analytical rigor with creative problem-solving and clear communication. We value self-motivation, continuous learning, and the ability to work both independently and collaboratively in a dynamic environment. Key Responsibilities Assist in developing end-to-end AI solutions across multiple domains - classical machine learning, computer vision, and generative AI applications, working with both structured and unstructured data Build robust data pipelines to preprocess, clean, and transform diverse data types (text, images, time-series), ensuring high-quality inputs for modeling; conduct in-depth exploratory data analysis (EDA) to uncover patterns Implement and optimize models, ranging from traditional algorithms to advanced architectures (e.g., CNNs, transformers), tailored to project requirements; benchmark and evaluate model performance to ensure scalability, accuracy, and efficiency. Exposure to advanced AI methodologies, including transfer learning, prompt engineering, and retrieval-augmented generation (RAG). Assist in deploying AI solutions using web frameworks (Streamlit/Flask/FastAPI) to create interactive applications with integrated AI capabilities Collaborate with senior data scientists on cross-functional projects combining vision, language, and predictive analytics components Skills Required Education: Pursuing a degree/Graduate in Data Science, Computer Science, Mathematics, or a related field Programming: Strong Python proficiency with NumPy, Pandas, Matplotlib/Seaborn; decent SQL expertise Machine Learning: Understanding of supervised/unsupervised algorithms, statistical concepts, probability distributions, hypothesis testing, and time series analysis Deep Learning: Experience with TensorFlow/PyTorch; Understanding of neural network architectures (CNNs, transformers) Computer Vision: Familiarity with OpenCV, object detection (YOLO), OCR, and segmentation techniques NLP & Generative AI: Knowledge of text preprocessing, embeddings, LLMs, prompt engineering, and RAG system Good to Have Experience with AI frameworks (LangChain, LamaIndex, Crew AI) Speech recognition models (OpenAI Whisper) Automation tools (n8n) and containerization (Docker) Portfolio demonstrating cross-domain AI projects Version control with Git Job Types: Full-time, Internship Contract length: 3 months Pay: ₹10,000.00 - ₹15,000.00 per month Work Location: In person

Develop and optimize machine learning models for classification, regression, clustering, and recommendation systems. · Implement deep learning architectures using frameworks like TensorFlow, PyTorch, or Keras. · Preprocess and analyze large datasets to extract meaningful insights. · Fine-tune models for performance, accuracy, and efficiency. · Deploy ML models into production environments using cloud platforms (AWS, Azure, GCP) or edge devices. · Collaborate with data engineers to build robust data pipelines. · Conduct research on emerging AI/ML technologies and apply them to real-world problems. · Write clean, maintainable, and well-documented code following best practices. · Perform model evaluation, A/B testing, and error analysis to improve performance. · Work with stakeholders to understand business requirements and translate them into AI solutions. Requirements: 2-4 years of experience in AI/ML development. Proficiency in Python and ML libraries such as TensorFlow, PyTorch, or Keras. Strong understanding of Machine Learning algorithms, deep learning architectures, and statistical modeling. Experience with data preprocessing, feature engineering, and model optimization. Familiarity with big data technologies (Spark, Hadoop) and databases (SQL, NoSQL). Understanding of NLP, computer vision, or reinforcement learning is a plus. Ability to work both independently and collaboratively in a fast-paced, agile environment. You have an eye for detail, esp. around user experience and secure coding practices. A strong drive to learn and explore. The Ideal Candidate: Is by nature highly team-oriented and collaborative. Believes the best work can be achieved when a talented group of smart people work effectively together. Has proper understanding of semantic markup and knows how to build interactive pieces that comply with web accessibility standards. Has personal projects or frontend related code contributions to open-source community and actively publishes on web development related development topics

Data Science Intern (Paid) Company: WebBoost Solutions by UM Location: Remote Duration: 3 months Opportunity: Full-time based on performance, with a Certificate of Internship About WebBoost Solutions by UM WebBoost Solutions by UM provides aspiring professionals with hands-on experience in data science , offering real-world projects to develop and refine their analytical and machine learning skills for a successful career. Responsibilities ✅ Collect, preprocess, and analyze large datasets. ✅ Develop predictive models and machine learning algorithms . ✅ Perform exploratory data analysis (EDA) to extract meaningful insights. ✅ Create data visualizations and dashboards for effective communication of findings. ✅ Collaborate with cross-functional teams to deliver data-driven solutions . Requirements 🎓 Enrolled in or graduate of a program in Data Science, Computer Science, Statistics, or a related field . 🐍 Proficiency in Python for data analysis and modeling. 🧠 Knowledge of machine learning libraries such as scikit-learn, TensorFlow, or PyTorch (preferred) . 📊 Familiarity with data visualization tools (Tableau, Power BI, or Matplotlib) . 🧐 Strong analytical and problem-solving skills. 🗣 Excellent communication and teamwork abilities. Stipend & Benefits 💰 Stipend: ₹7,500 - ₹15,000 (Performance-Based). ✔ Hands-on experience in data science projects . ✔ Certificate of Internship & Letter of Recommendation . ✔ Opportunity to build a strong portfolio of data science models and applications. ✔ Potential for full-time employment based on performance. How to Apply 📩 Submit your resume and a cover letter with the subject line "Data Science Intern Application." 📅 Deadline: 14th September 2025 Equal Opportunity WebBoost Solutions by UM is committed to fostering an inclusive and diverse environment and encourages applications from all backgrounds. Let me know if you need any modifications! 🚀

Data Science Intern (Paid) Company: WebBoost Solutions by UM Location: Remote Duration: 3 months Opportunity: Full-time based on performance, with a Certificate of Internship About WebBoost Solutions by UM WebBoost Solutions by UM provides aspiring professionals with hands-on experience in data science , offering real-world projects to develop and refine their analytical and machine learning skills for a successful career. Responsibilities ✅ Collect, preprocess, and analyze large datasets. ✅ Develop predictive models and machine learning algorithms . ✅ Perform exploratory data analysis (EDA) to extract meaningful insights. ✅ Create data visualizations and dashboards for effective communication of findings. ✅ Collaborate with cross-functional teams to deliver data-driven solutions . Requirements 🎓 Enrolled in or graduate of a program in Data Science, Computer Science, Statistics, or a related field . 🐍 Proficiency in Python for data analysis and modeling. 🧠 Knowledge of machine learning libraries such as scikit-learn, TensorFlow, or PyTorch (preferred) . 📊 Familiarity with data visualization tools (Tableau, Power BI, or Matplotlib) . 🧐 Strong analytical and problem-solving skills. 🗣 Excellent communication and teamwork abilities. Stipend & Benefits 💰 Stipend: ₹7,500 - ₹15,000 (Performance-Based). ✔ Hands-on experience in data science projects . ✔ Certificate of Internship & Letter of Recommendation . ✔ Opportunity to build a strong portfolio of data science models and applications. ✔ Potential for full-time employment based on performance. How to Apply 📩 Submit your resume and a cover letter with the subject line "Data Science Intern Application." 📅 Deadline: 14th September 2025 Equal Opportunity WebBoost Solutions by UM is committed to fostering an inclusive and diverse environment and encourages applications from all backgrounds. Let me know if you need any modifications! 🚀

Machine Learning Intern (Paid) Company: Unified Mentor Location: Remote Duration: 3 months Opportunity: Full-time based on performance, with Certificate of Internship Application Deadline: 14th September 2025 About Unified Mentor Unified Mentor provides students and graduates with hands-on learning opportunities and career growth in Machine Learning and Data Science. Role Overview As a Machine Learning Intern, you will work on real-world projects, enhancing your practical skills in data analysis and model development. Responsibilities ✅ Design, test, and optimize machine learning models ✅ Analyze and preprocess datasets ✅ Develop algorithms and predictive models ✅ Use tools like TensorFlow, PyTorch, and Scikit-learn ✅ Document findings and create reports Requirements 🎓 Enrolled in or a graduate of a relevant program (Computer Science, AI, Data Science, or related field) 🧠 Knowledge of machine learning concepts and algorithms 💻 Proficiency in Python or R (preferred) 🤝 Strong analytical and teamwork skills Benefits 💰 Stipend: ₹7,500 - ₹15,000 (Performance-Based) (Paid) ✔ Hands-on machine learning experience ✔ Internship Certificate & Letter of Recommendation ✔ Real-world project contributions for your portfolio Equal Opportunity Unified Mentor is an equal-opportunity employer, welcoming candidates from all backgrounds.

Job Description Description - External Some careers shine brighter than others. If you’re looking for a career that will help you stand out, join HSBC and fulfil your potential. Whether you want a career that could take you to the top, or simply take you in an exciting new direction, HSBC offers opportunities, support and rewards that will take you further. HSBC is one of the largest banking and financial services organisations in the world, with operations in 64 countries and territories. We aim to be where the growth is, enabling businesses to thrive and economies to prosper, and, ultimately, helping people to fulfil their hopes and realise their ambitions. We are currently seeking an experienced professional to join our team in the role of Senior Software Engineer. In this role, you will: Design, develop, and fine-tune Generative AI models (e.g., GPT, BERT, Stable Diffusion, etc.) for various use cases such as text generation, summarization, image generation, and more. Build and deploy scalable AI/ML pipelines using Python and frameworks like TensorFlow, PyTorch, or Hugging Face. Integrate Generative AI models into production systems and APIs for real-time or batch processing. Collaborate with cross-functional teams to identify AI use cases and deliver end-to-end solutions. Optimize model performance, reduce latency, and ensure scalability for production environments. Conduct research and stay updated on the latest advancements in Generative AI and machine learning. Work with large datasets, preprocess data, and ensure data quality for training and evaluation. Implement monitoring and logging for deployed AI models to ensure reliability and performance. Write clean, maintainable, and well-documented Python code for AI/ML projects. Programming: Strong proficiency in Python and experience with AI/ML libraries such as TensorFlow, PyTorch, or Hugging Face. Generative AI Expertise:Hands-on experience with Generative AI models like GPT, BERT, DALL-E, or Stable Diffusion. Machine Learning:Solid understanding of machine learning concepts, including supervised, unsupervised, and reinforcement learning. Data Handling:Experience with data preprocessing, feature engineering, and working with large datasets. APIs: Experience in building and deploying RESTful APIs or microservices for AI/ML model. Cloud Platforms: Familiarity with cloud platforms like AWS, Azure, or Google Cloud for deploying AI solutions. Version Control:Proficiency with Git and collaborative development workflows. Problem-Solving:Strong analytical and problem-solving skills with the ability to debug and optimize AI models. Communication:Excellent verbal and written communication skills to collaborate with technical and non-technical stakeholders. Requirements Qualifications - External To be successful in this role, you should meet the following requirements: To be successful in this role, you should meet the following requirements: Experience with fine-tuning and deploying Large Language Models (LLMs) like OpenAI GPT, Google T5, or similar. Knowledge of Natural Language Processing (NLP) techniques such as tokenization, embeddings, and transformers. Familiarity with MLOps tools and practices for model deployment, monitoring, and lifecycle management. Experience with containerization tools like Docker and orchestration platforms like Kubernetes. Understanding of ethical AI practices and bias mitigation in Generative AI models. Experience in AWS / Cloud Technologies Experience with banking systems Familiarity with AGILE and Sca You’ll achieve more when you join HSBC. www.hsbc.com/careers HSBC is committed to building a culture where all employees are valued, respected and opinions count. We take pride in providing a workplace that fosters continuous professional development, flexible working and opportunities to grow within an inclusive and diverse environment. Personal data held by the Bank relating to employment applications will be used in accordance with our Privacy Statement, which is available on our website.

Job Title : AI Developer Location : Jaipur Experience : Fresher Job Type : Full-time Company Overview Harshwal Consulting Services LLP offers a comprehensive range of finance and business advisory services. At Harshwal, we are committed to strengthening core values, ensuring financial stability, and driving sustainable growth in today’s competitive environment. As a trusted professional services firm, we deliver Audit, Accounting, Taxation, and Advisory solutions to clients across industries and geographies, empowering them with the insights needed to make informed decisions and succeed globally. Job Overview We are looking for enthusiastic and passionate AI Developers (Freshers) who are eager to start their careers in Artificial Intelligence and Machine Learning. This is an excellent opportunity for final-year students or recent graduates who want to gain hands-on experience in building and deploying AI-powered solutions. Roles & Responsibilities Requirement Analysis: Understand project/business requirements and define AI objectives. Data Preparation: Gather, preprocess, and structure data for training models. Model Development: Create, train, test, and optimize machine learning/deep learning models. Integration: Deploy AI models into applications, websites, or enterprise systems. Testing & Validation: Evaluate accuracy, performance, and reliability of AI models. Optimization: Fine-tune models to improve efficiency, speed, and scalability. Documentation: Maintain proper records of datasets, algorithms, and processes. Staying Updated: Keep up with the latest AI frameworks, libraries, and research papers. Ethics & Compliance: Ensure AI systems follow ethical standards, privacy, and legal guidelines. Skills & Qualifications B. Tech / M. Tech / BCA / MCA (Computer Science, IT, AI, Data Science, or related fields). Final-year students or recent graduates are welcome. Prior internship/project experience in AI/ML will be an added advantage but not mandatory. Knowledge of NLP, Computer Vision, or Generative AI. Why Join Us? Learning & Growth: Supportive Environment: Competitive Compensation Health Insurance 5 Days Week

At EY, you’ll have the chance to build a career as unique as you are, with the global scale, support, inclusive culture and technology to become the best version of you. And we’re counting on your unique voice and perspective to help EY become even better, too. Join us and build an exceptional experience for yourself, and a better working world for all. EY GDS – Data and Analytics (D&A) – Senior – Senior Data Scientist Role Overview: We are seeking a highly skilled and experienced Senior Data Scientist with a minimum of 3 - 7 years of experience in Data Science and Machine Learning, preferably with experience in NLP, Generative AI, LLMs, MLOps, Optimization techniques, and AI solution Architecture. In this role, you will play a key role in the development and implementation of AI solutions, leveraging your technical expertise. The ideal candidate should have a deep understanding of AI technologies and experience in designing and implementing cutting-edge AI models and systems. Additionally, expertise in data engineering, DevOps, and MLOps practices will be valuable in this role. Responsibilities: Your technical responsibilities: Contribute to the design and implementation of state-of-the-art AI solutions. Assist in the development and implementation of AI models and systems, leveraging techniques such as Language Models (LLMs) and generative AI. Collaborate with stakeholders to identify business opportunities and define AI project goals. Stay updated with the latest advancements in generative AI techniques, such as LLMs, and evaluate their potential applications in solving enterprise challenges. Utilize generative AI techniques, such as LLMs, to develop innovative solutions for enterprise industry use cases. Integrate with relevant APIs and libraries, such as Azure Open AI GPT models and Hugging Face Transformers, to leverage pre-trained models and enhance generative AI capabilities. Implement and optimize end-to-end pipelines for generative AI projects, ensuring seamless data processing and model deployment. Utilize vector databases, such as Redis, and NoSQL databases to efficiently handle large-scale generative AI datasets and outputs. Implement similarity search algorithms and techniques to enable efficient and accurate retrieval of relevant information from generative AI outputs. Collaborate with domain experts, stakeholders, and clients to understand specific business requirements and tailor generative AI solutions accordingly. Conduct research and evaluation of advanced AI techniques, including transfer learning, domain adaptation, and model compression, to enhance performance and efficiency. Establish evaluation metrics and methodologies to assess the quality, coherence, and relevance of generative AI outputs for enterprise industry use cases. Ensure compliance with data privacy, security, and ethical considerations in AI applications. Leverage data engineering skills to curate, clean, and preprocess large-scale datasets for generative AI applications. Requirements: Bachelor's or Master's degree in Computer Science, Engineering, or a related field. A Ph.D. is a plus. Minimum 3-7 years of experience in Data Science and Machine Learning. In-depth knowledge of machine learning, deep learning, and generative AI techniques. Proficiency in programming languages such as Python, R, and frameworks like TensorFlow or PyTorch. Strong understanding of NLP techniques and frameworks such as BERT, GPT, or Transformer models. Familiarity with computer vision techniques for image recognition, object detection, or image generation. Experience with cloud platforms such as Azure, AWS, or GCP and deploying AI solutions in a cloud environment. Expertise in data engineering, including data curation, cleaning, and preprocessing. Knowledge of trusted AI practices, ensuring fairness, transparency, and accountability in AI models and systems. Strong collaboration with software engineering and operations teams to ensure seamless integration and deployment of AI models. Excellent problem-solving and analytical skills, with the ability to translate business requirements into technical solutions. Strong communication and interpersonal skills, with the ability to collaborate effectively with stakeholders at various levels. Understanding of data privacy, security, and ethical considerations in AI applications. Track record of driving innovation and staying updated with the latest AI research and advancements. Good to Have Skills: Apply trusted AI practices to ensure fairness, transparency, and accountability in AI models and systems. Utilize optimization tools and techniques, including MIP (Mixed Integer Programming). Drive DevOps and MLOps practices, covering continuous integration, deployment, and monitoring of AI models. Implement CI/CD pipelines for streamlined model deployment and scaling processes. Utilize tools such as Docker, Kubernetes, and Git to build and manage AI pipelines. Apply infrastructure as code (IaC) principles, employing tools like Terraform or CloudFormation. Implement monitoring and logging tools to ensure AI model performance and reliability. Collaborate seamlessly with software engineering and operations teams for efficient AI model integration and deployment. Familiarity with DevOps and MLOps practices, including continuous integration, deployment, and monitoring of AI models. EY | Building a better working world EY exists to build a better working world, helping to create long-term value for clients, people and society and build trust in the capital markets. Enabled by data and technology, diverse EY teams in over 150 countries provide trust through assurance and help clients grow, transform and operate. Working across assurance, consulting, law, strategy, tax and transactions, EY teams ask better questions to find new answers for the complex issues facing our world today.

At EY, you’ll have the chance to build a career as unique as you are, with the global scale, support, inclusive culture and technology to become the best version of you. And we’re counting on your unique voice and perspective to help EY become even better, too. Join us and build an exceptional experience for yourself, and a better working world for all. EY GDS – Data and Analytics (D&A) – Senior – Senior Data Scientist Role Overview: We are seeking a highly skilled and experienced Senior Data Scientist with a minimum of 3 - 7 years of experience in Data Science and Machine Learning, preferably with experience in NLP, Generative AI, LLMs, MLOps, Optimization techniques, and AI solution Architecture. In this role, you will play a key role in the development and implementation of AI solutions, leveraging your technical expertise. The ideal candidate should have a deep understanding of AI technologies and experience in designing and implementing cutting-edge AI models and systems. Additionally, expertise in data engineering, DevOps, and MLOps practices will be valuable in this role. Responsibilities: Your technical responsibilities: Contribute to the design and implementation of state-of-the-art AI solutions. Assist in the development and implementation of AI models and systems, leveraging techniques such as Language Models (LLMs) and generative AI. Collaborate with stakeholders to identify business opportunities and define AI project goals. Stay updated with the latest advancements in generative AI techniques, such as LLMs, and evaluate their potential applications in solving enterprise challenges. Utilize generative AI techniques, such as LLMs, to develop innovative solutions for enterprise industry use cases. Integrate with relevant APIs and libraries, such as Azure Open AI GPT models and Hugging Face Transformers, to leverage pre-trained models and enhance generative AI capabilities. Implement and optimize end-to-end pipelines for generative AI projects, ensuring seamless data processing and model deployment. Utilize vector databases, such as Redis, and NoSQL databases to efficiently handle large-scale generative AI datasets and outputs. Implement similarity search algorithms and techniques to enable efficient and accurate retrieval of relevant information from generative AI outputs. Collaborate with domain experts, stakeholders, and clients to understand specific business requirements and tailor generative AI solutions accordingly. Conduct research and evaluation of advanced AI techniques, including transfer learning, domain adaptation, and model compression, to enhance performance and efficiency. Establish evaluation metrics and methodologies to assess the quality, coherence, and relevance of generative AI outputs for enterprise industry use cases. Ensure compliance with data privacy, security, and ethical considerations in AI applications. Leverage data engineering skills to curate, clean, and preprocess large-scale datasets for generative AI applications. Requirements: Bachelor's or Master's degree in Computer Science, Engineering, or a related field. A Ph.D. is a plus. Minimum 3-7 years of experience in Data Science and Machine Learning. In-depth knowledge of machine learning, deep learning, and generative AI techniques. Proficiency in programming languages such as Python, R, and frameworks like TensorFlow or PyTorch. Strong understanding of NLP techniques and frameworks such as BERT, GPT, or Transformer models. Familiarity with computer vision techniques for image recognition, object detection, or image generation. Experience with cloud platforms such as Azure, AWS, or GCP and deploying AI solutions in a cloud environment. Expertise in data engineering, including data curation, cleaning, and preprocessing. Knowledge of trusted AI practices, ensuring fairness, transparency, and accountability in AI models and systems. Strong collaboration with software engineering and operations teams to ensure seamless integration and deployment of AI models. Excellent problem-solving and analytical skills, with the ability to translate business requirements into technical solutions. Strong communication and interpersonal skills, with the ability to collaborate effectively with stakeholders at various levels. Understanding of data privacy, security, and ethical considerations in AI applications. Track record of driving innovation and staying updated with the latest AI research and advancements. Good to Have Skills: Apply trusted AI practices to ensure fairness, transparency, and accountability in AI models and systems. Utilize optimization tools and techniques, including MIP (Mixed Integer Programming). Drive DevOps and MLOps practices, covering continuous integration, deployment, and monitoring of AI models. Implement CI/CD pipelines for streamlined model deployment and scaling processes. Utilize tools such as Docker, Kubernetes, and Git to build and manage AI pipelines. Apply infrastructure as code (IaC) principles, employing tools like Terraform or CloudFormation. Implement monitoring and logging tools to ensure AI model performance and reliability. Collaborate seamlessly with software engineering and operations teams for efficient AI model integration and deployment. Familiarity with DevOps and MLOps practices, including continuous integration, deployment, and monitoring of AI models. EY | Building a better working world EY exists to build a better working world, helping to create long-term value for clients, people and society and build trust in the capital markets. Enabled by data and technology, diverse EY teams in over 150 countries provide trust through assurance and help clients grow, transform and operate. Working across assurance, consulting, law, strategy, tax and transactions, EY teams ask better questions to find new answers for the complex issues facing our world today.

At EY, you’ll have the chance to build a career as unique as you are, with the global scale, support, inclusive culture and technology to become the best version of you. And we’re counting on your unique voice and perspective to help EY become even better, too. Join us and build an exceptional experience for yourself, and a better working world for all. EY GDS – Data and Analytics (D&A) – Senior – Senior Data Scientist Role Overview: We are seeking a highly skilled and experienced Senior Data Scientist with a minimum of 3 - 7 years of experience in Data Science and Machine Learning, preferably with experience in NLP, Generative AI, LLMs, MLOps, Optimization techniques, and AI solution Architecture. In this role, you will play a key role in the development and implementation of AI solutions, leveraging your technical expertise. The ideal candidate should have a deep understanding of AI technologies and experience in designing and implementing cutting-edge AI models and systems. Additionally, expertise in data engineering, DevOps, and MLOps practices will be valuable in this role. Responsibilities: Your technical responsibilities: Contribute to the design and implementation of state-of-the-art AI solutions. Assist in the development and implementation of AI models and systems, leveraging techniques such as Language Models (LLMs) and generative AI. Collaborate with stakeholders to identify business opportunities and define AI project goals. Stay updated with the latest advancements in generative AI techniques, such as LLMs, and evaluate their potential applications in solving enterprise challenges. Utilize generative AI techniques, such as LLMs, to develop innovative solutions for enterprise industry use cases. Integrate with relevant APIs and libraries, such as Azure Open AI GPT models and Hugging Face Transformers, to leverage pre-trained models and enhance generative AI capabilities. Implement and optimize end-to-end pipelines for generative AI projects, ensuring seamless data processing and model deployment. Utilize vector databases, such as Redis, and NoSQL databases to efficiently handle large-scale generative AI datasets and outputs. Implement similarity search algorithms and techniques to enable efficient and accurate retrieval of relevant information from generative AI outputs. Collaborate with domain experts, stakeholders, and clients to understand specific business requirements and tailor generative AI solutions accordingly. Conduct research and evaluation of advanced AI techniques, including transfer learning, domain adaptation, and model compression, to enhance performance and efficiency. Establish evaluation metrics and methodologies to assess the quality, coherence, and relevance of generative AI outputs for enterprise industry use cases. Ensure compliance with data privacy, security, and ethical considerations in AI applications. Leverage data engineering skills to curate, clean, and preprocess large-scale datasets for generative AI applications. Requirements: Bachelor's or Master's degree in Computer Science, Engineering, or a related field. A Ph.D. is a plus. Minimum 3-7 years of experience in Data Science and Machine Learning. In-depth knowledge of machine learning, deep learning, and generative AI techniques. Proficiency in programming languages such as Python, R, and frameworks like TensorFlow or PyTorch. Strong understanding of NLP techniques and frameworks such as BERT, GPT, or Transformer models. Familiarity with computer vision techniques for image recognition, object detection, or image generation. Experience with cloud platforms such as Azure, AWS, or GCP and deploying AI solutions in a cloud environment. Expertise in data engineering, including data curation, cleaning, and preprocessing. Knowledge of trusted AI practices, ensuring fairness, transparency, and accountability in AI models and systems. Strong collaboration with software engineering and operations teams to ensure seamless integration and deployment of AI models. Excellent problem-solving and analytical skills, with the ability to translate business requirements into technical solutions. Strong communication and interpersonal skills, with the ability to collaborate effectively with stakeholders at various levels. Understanding of data privacy, security, and ethical considerations in AI applications. Track record of driving innovation and staying updated with the latest AI research and advancements. Good to Have Skills: Apply trusted AI practices to ensure fairness, transparency, and accountability in AI models and systems. Utilize optimization tools and techniques, including MIP (Mixed Integer Programming). Drive DevOps and MLOps practices, covering continuous integration, deployment, and monitoring of AI models. Implement CI/CD pipelines for streamlined model deployment and scaling processes. Utilize tools such as Docker, Kubernetes, and Git to build and manage AI pipelines. Apply infrastructure as code (IaC) principles, employing tools like Terraform or CloudFormation. Implement monitoring and logging tools to ensure AI model performance and reliability. Collaborate seamlessly with software engineering and operations teams for efficient AI model integration and deployment. Familiarity with DevOps and MLOps practices, including continuous integration, deployment, and monitoring of AI models. EY | Building a better working world EY exists to build a better working world, helping to create long-term value for clients, people and society and build trust in the capital markets. Enabled by data and technology, diverse EY teams in over 150 countries provide trust through assurance and help clients grow, transform and operate. Working across assurance, consulting, law, strategy, tax and transactions, EY teams ask better questions to find new answers for the complex issues facing our world today.

At EY, you’ll have the chance to build a career as unique as you are, with the global scale, support, inclusive culture and technology to become the best version of you. And we’re counting on your unique voice and perspective to help EY become even better, too. Join us and build an exceptional experience for yourself, and a better working world for all. EY GDS – Data and Analytics (D&A) – Senior – Senior Data Scientist Role Overview: We are seeking a highly skilled and experienced Senior Data Scientist with a minimum of 3 - 7 years of experience in Data Science and Machine Learning, preferably with experience in NLP, Generative AI, LLMs, MLOps, Optimization techniques, and AI solution Architecture. In this role, you will play a key role in the development and implementation of AI solutions, leveraging your technical expertise. The ideal candidate should have a deep understanding of AI technologies and experience in designing and implementing cutting-edge AI models and systems. Additionally, expertise in data engineering, DevOps, and MLOps practices will be valuable in this role. Responsibilities: Your technical responsibilities: Contribute to the design and implementation of state-of-the-art AI solutions. Assist in the development and implementation of AI models and systems, leveraging techniques such as Language Models (LLMs) and generative AI. Collaborate with stakeholders to identify business opportunities and define AI project goals. Stay updated with the latest advancements in generative AI techniques, such as LLMs, and evaluate their potential applications in solving enterprise challenges. Utilize generative AI techniques, such as LLMs, to develop innovative solutions for enterprise industry use cases. Integrate with relevant APIs and libraries, such as Azure Open AI GPT models and Hugging Face Transformers, to leverage pre-trained models and enhance generative AI capabilities. Implement and optimize end-to-end pipelines for generative AI projects, ensuring seamless data processing and model deployment. Utilize vector databases, such as Redis, and NoSQL databases to efficiently handle large-scale generative AI datasets and outputs. Implement similarity search algorithms and techniques to enable efficient and accurate retrieval of relevant information from generative AI outputs. Collaborate with domain experts, stakeholders, and clients to understand specific business requirements and tailor generative AI solutions accordingly. Conduct research and evaluation of advanced AI techniques, including transfer learning, domain adaptation, and model compression, to enhance performance and efficiency. Establish evaluation metrics and methodologies to assess the quality, coherence, and relevance of generative AI outputs for enterprise industry use cases. Ensure compliance with data privacy, security, and ethical considerations in AI applications. Leverage data engineering skills to curate, clean, and preprocess large-scale datasets for generative AI applications. Requirements: Bachelor's or Master's degree in Computer Science, Engineering, or a related field. A Ph.D. is a plus. Minimum 3-7 years of experience in Data Science and Machine Learning. In-depth knowledge of machine learning, deep learning, and generative AI techniques. Proficiency in programming languages such as Python, R, and frameworks like TensorFlow or PyTorch. Strong understanding of NLP techniques and frameworks such as BERT, GPT, or Transformer models. Familiarity with computer vision techniques for image recognition, object detection, or image generation. Experience with cloud platforms such as Azure, AWS, or GCP and deploying AI solutions in a cloud environment. Expertise in data engineering, including data curation, cleaning, and preprocessing. Knowledge of trusted AI practices, ensuring fairness, transparency, and accountability in AI models and systems. Strong collaboration with software engineering and operations teams to ensure seamless integration and deployment of AI models. Excellent problem-solving and analytical skills, with the ability to translate business requirements into technical solutions. Strong communication and interpersonal skills, with the ability to collaborate effectively with stakeholders at various levels. Understanding of data privacy, security, and ethical considerations in AI applications. Track record of driving innovation and staying updated with the latest AI research and advancements. Good to Have Skills: Apply trusted AI practices to ensure fairness, transparency, and accountability in AI models and systems. Utilize optimization tools and techniques, including MIP (Mixed Integer Programming). Drive DevOps and MLOps practices, covering continuous integration, deployment, and monitoring of AI models. Implement CI/CD pipelines for streamlined model deployment and scaling processes. Utilize tools such as Docker, Kubernetes, and Git to build and manage AI pipelines. Apply infrastructure as code (IaC) principles, employing tools like Terraform or CloudFormation. Implement monitoring and logging tools to ensure AI model performance and reliability. Collaborate seamlessly with software engineering and operations teams for efficient AI model integration and deployment. Familiarity with DevOps and MLOps practices, including continuous integration, deployment, and monitoring of AI models. EY | Building a better working world EY exists to build a better working world, helping to create long-term value for clients, people and society and build trust in the capital markets. Enabled by data and technology, diverse EY teams in over 150 countries provide trust through assurance and help clients grow, transform and operate. Working across assurance, consulting, law, strategy, tax and transactions, EY teams ask better questions to find new answers for the complex issues facing our world today.