816 Preprocess Jobs - Page 9

Job Title: AI/ML Developer (Remote) Experience Required: 5 Years Location: Remote (India-based preferred) Employment Type: Full-Time About the Role: We are looking for a skilled and motivated AI/ML Developer with 5 years of hands-on experience in building and deploying machine learning solutions. You will work with cross-functional teams to deliver cutting-edge AI applications that solve real-world problems. This is a remote role offering flexibility and the chance to work with a fast-paced, innovation-driven team. Key Responsibilities: Design, develop, and deploy ML models for classification, regression, NLP, and/or computer vision tasks. Collect, preprocess, and analyze large datasets. Work with frameworks such as TensorFlow, PyTorch, Scikit-learn, and Hugging Face. Implement and optimize model training pipelines using Python. Collaborate with product managers, data engineers, and backend teams to integrate ML models into production. Continuously evaluate model performance and update them based on new data and requirements. Write clean, maintainable, and well-documented code. Stay current with the latest AI/ML trends and technologies. Required Skills: Strong programming skills in Python and hands-on experience with machine learning libraries (e.g., Scikit-learn, TensorFlow, PyTorch). Proficiency in data handling and preprocessing using Pandas , NumPy , and SQL . Experience with model deployment tools (e.g., FastAPI, Flask, Docker, AWS/GCP). Sound understanding of ML algorithms , model evaluation metrics, and tuning techniques. Practical experience in NLP , Computer Vision , or Recommendation Systems is a plus. Experience with version control systems like Git and CI/CD pipelines. Good to Have: Experience working in a remote team environment . Exposure to MLOps tools such as MLflow, Kubeflow, or Vertex AI. Familiarity with big data tools like Spark or Hadoop. Prior work on production-grade ML pipelines .

Work Level : Individual Core : Communication Skills, Problem Solving, Execution Leadership : Decisive, Team Alignment, Working Independently Industry Type : IT Services & Consulting Function : Data Analyst Key Skills : Data Analytics,Data Analysis,Python,R,MySQL,Cloud,AWS,Bigdata,Big Data Platforms,Business Intelligence (BI),Tableau,Data Science,Statistical Modeling Education : Graduate Note: This is a requirement for one of the Workassist Hiring Partner. Your Role: This is a Remote Position. Collect, clean, and preprocess data from various sources. Perform exploratory data analysis (EDA) to identify trends and patterns. Develop dashboards and reports using tools like Excel, Power BI, or Tableau. Use SQL to query and manipulate large datasets. Assist in building predictive models and performing statistical analyses. Present insights and recommendations based on data findings. Collaborate with cross-functional teams to support data-driven decision-making. Company Description Workassist is an online recruitment and employment solution platform based in Lucknow, India. We provide relevant profiles to employers and connect job seekers with the best opportunities across various industries. With a network of over 10,000+ recruiters, we help employers recruit talented individuals from sectors such as Banking & Finance, Consulting, Sales & Marketing, HR, IT, Operations, and Legal. We have adapted to the new normal and strive to provide a seamless job search experience for job seekers worldwide. Our goal is to enhance the job seeking experience by leveraging technology and matching job seekers with the right employers. For a seamless job search experience, visit our website: https://bit.ly/3QBfBU2 (Note: There are many more opportunities apart from this on the portal. Depending on the skills, 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!

Company Overview At Insight Fusion Analytics, we specialize in data analytics, machine learning, and stock market analysis. Our mission is to empower businesses through data-driven insights and cutting-edge AI technologies. We are committed to pushing the boundaries of innovation to enhance decision-making processes and deliver tangible business results. Role Description We are looking for an experienced Machine Learning Expert to join our team. As part of this role, you will work on developing sports prediction models, utilizing machine learning techniques and data science methods to forecast outcomes in sports. This is an exciting opportunity to apply advanced ML algorithms in the sports domain. Key Responsibilities Develop and optimize machine learning models for sports prediction. Handle large datasets, clean and preprocess raw data for model building. Collaborate with cross-functional teams to implement models in real-world applications. Conduct experiments and refine models to improve accuracy and efficiency. Stay updated on the latest advancements in machine learning and sports analytics. Provide clear and actionable insights from model outputs to stakeholders. Required Qualifications At least 3 years of professional experience in machine learning, particularly in sports prediction. Strong proficiency in Python (Pandas, NumPy, Scikit-learn, TensorFlow, etc.). Experience in time-series forecasting, regression, classification, and other ML techniques. Familiarity with sports datasets, player stats, and historical performance data. Proven track record of developing and deploying machine learning models. Strong problem-solving abilities and analytical thinking. Ability to work independently and in a collaborative, remote setting. Preferred Qualifications Experience with sports prediction models or analytics. Familiarity with cloud platforms (AWS, Azure, Google Cloud). Exposure to deep learning and advanced machine learning techniques. Experience in model evaluation, tuning, and preventing issues like overfitting or data leakage. How to Apply To apply for this role, please share: A summary of your previous work in machine learning and sports prediction. Email at insightfusionanalytics@gmail.com Examples of sports prediction models or similar projects you’ve worked on (with links to any repositories or project summaries). Your approach to handling model challenges such as data leakage, overfitting, or bias.

Job Description We're seeking top talents for our AI engineering team to develop high-quality machine learning models, services, and scalable data processing pipelines. Candidates should have a strong computer science background and be ready to handle end-to-end projects, focusing on engineering. As an Applied AI ML Lead within the Digital Intelligence team at JPMorgan, collaborate with all lines of business and functions to deliver software solutions. Experiment, develop, and productionize high-quality machine learning models, services, and platforms to make a significant impact on technology and business. Design and implement highly scalable and reliable data processing pipelines. Perform analysis and insights to promote and optimize business results. Contribute to a transformative journey and make a substantial impact on a wide range of customer products. Job Responsibilities Research, develop, and implement machine learning algorithms to solve complex problems related to personalized financial services in retail and digital banking domains. Work closely with cross-functional teams to translate business requirements into technical solutions and drive innovation in banking products and services. Collaborate with product managers, key business stakeholders, engineering, and platform partners to lead challenging projects that deliver cutting-edge machine learning-driven digital solutions. Conduct research to develop state-of-the-art machine learning algorithms and models tailored to financial applications in personalization and recommendation spaces. Design experiments, establish mathematical intuitions, implement algorithms, execute test cases, validate results, and productionize highly performant, scalable, trustworthy, and often explainable solutions. Collaborate with data engineers and product analysts to preprocess and analyze large datasets from multiple sources. Stay up-to-date with the latest publications in relevant Machine Learning domains and find applications for the same in your problem spaces for improved outcomes. Communicate findings and insights to stakeholders through presentations, reports, and visualizations. Work with regulatory and compliance teams to ensure that machine learning models adhere to standards and regulations. Mentor Junior Machine Learning associates in delivering successful projects and building successful careers in the firm. Participate and contribute back to firm-wide Machine Learning communities through patenting, publications, and speaking engagements. Required Qualifications, Capabilities And Skills Expert in at least one of the following areas: Natural Language Processing, Knowledge Graph, Computer Vision, Speech Recognition, Reinforcement Learning, Ranking and Recommendation, or Time Series Analysis. Deep knowledge in Data structures, Algorithms, Machine Learning, Data Mining, Information Retrieval, Statistics. Demonstrated expertise in machine learning frameworks: Tensorflow, Pytorch, pyG, Keras, MXNet, Scikit-Learn. Strong programming knowledge of python, spark; Strong grasp on vector operations using numpy, scipy; Strong grasp on distributed computation using Multithreading, Multi GPUs, Dask, Ray, Polars etc. Strong analytical and critical thinking skills for problem solving. Excellent written and oral communication along with demonstrated teamwork skills. Demonstrated ability to clearly communicate complex technical concepts to both technical and non-technical audiences Experience in working in interdisciplinary teams and collaborating with other researchers, engineers, and stakeholders. A strong desire to stay updated with the latest advancements in the field and continuously improve one's skills Preferred Qualification, Capabilities And Skills Deep hands-on experience with real-world ML projects, either through academic research, internships, or industry roles. Experience with distributed data/feature engineering using popular cloud services like AWS EMR Experience with large scale training, validation and testing experiments. Experience with cloud Machine Learning services in AWS like Sagemaker. Experience with Container technology like Docker, ECS etc. Experience with Kubernetes based platform for Training or Inferencing. Contributions to open-source ML projects can be a plus. Participation in ML competitions (e.g., Kaggle) and hackathons demonstrating practical skills and problem-solving abilities. Understanding of how ML can be applied to various domains like healthcare, finance, robotics, etc. ABOUT US

Job Description We're seeking top talents for our AI engineering team to develop high-quality machine learning models, services, and scalable data processing pipelines. Candidates should have a strong computer science background and be ready to handle end-to-end projects, focusing on engineering. As an Applied AI ML Senior Associate within the Digital Intelligence team at JPMorgan, collaborate with all lines of business and functions to deliver software solutions. Experiment, develop, and productionize high-quality machine learning models, services, and platforms to make a significant impact on technology and business. Design and implement highly scalable and reliable data processing pipelines. Perform analysis and insights to promote and optimize business results. Contribute to a transformative journey and make a substantial impact on a wide range of customer products. Job Responsibilities Research, develop, and implement machine learning algorithms to solve complex problems related to personalized financial services in retail and digital banking domains. Work closely with cross-functional teams to translate business requirements into technical solutions and drive innovation in banking products and services. Collaborate with product managers, key business stakeholders, engineering, and platform partners to lead challenging projects that deliver cutting-edge machine learning-driven digital solutions. Conduct research to develop state-of-the-art machine learning algorithms and models tailored to financial applications in personalization and recommendation spaces. Design experiments, establish mathematical intuitions, implement algorithms, execute test cases, validate results, and productionize highly performant, scalable, trustworthy, and often explainable solutions. Collaborate with data engineers and product analysts to preprocess and analyze large datasets from multiple sources. Stay up-to-date with the latest publications in relevant Machine Learning domains and find applications for the same in your problem spaces for improved outcomes. Communicate findings and insights to stakeholders through presentations, reports, and visualizations. Work with regulatory and compliance teams to ensure that machine learning models adhere to standards and regulations. Mentor Junior Machine Learning associates in delivering successful projects and building successful careers in the firm. Participate and contribute back to firm-wide Machine Learning communities through patenting, publications, and speaking engagements. Required Qualifications, Capabilities And Skills Expert in at least one of the following areas: Natural Language Processing, Knowledge Graph, Computer Vision, Speech Recognition, Reinforcement Learning, Ranking and Recommendation, or Time Series Analysis. Deep knowledge in Data structures, Algorithms, Machine Learning, Data Mining, Information Retrieval, Statistics. Demonstrated expertise in machine learning frameworks: Tensorflow, Pytorch, pyG, Keras, MXNet, Scikit-Learn. Strong programming knowledge of python, spark; Strong grasp on vector operations using numpy, scipy; Strong grasp on distributed computation using Multithreading, Multi GPUs, Dask, Ray, Polars etc. Strong analytical and critical thinking skills for problem solving. Excellent written and oral communication along with demonstrated teamwork skills. Demonstrated ability to clearly communicate complex technical concepts to both technical and non-technical audiences Experience in working in interdisciplinary teams and collaborating with other researchers, engineers, and stakeholders. A strong desire to stay updated with the latest advancements in the field and continuously improve one's skills Preferred Qualification, Capabilities And Skills Deep hands-on experience with real-world ML projects, either through academic research, internships, or industry roles. Experience with distributed data/feature engineering using popular cloud services like AWS EMR Experience with large scale training, validation and testing experiments. Experience with cloud Machine Learning services in AWS like Sagemaker. Experience with Container technology like Docker, ECS etc. Experience with Kubernetes based platform for Training or Inferencing. Contributions to open-source ML projects can be a plus. Participation in ML competitions (e.g., Kaggle) and hackathons demonstrating practical skills and problem-solving abilities. Understanding of how ML can be applied to various domains like healthcare, finance, robotics, etc. ABOUT US

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: 6th July 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: 6th July 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 DESCRIPTION We're seeking top talents for our AI engineering team to develop high-quality machine learning models, services, and scalable data processing pipelines. Candidates should have a strong computer science background and be ready to handle end-to-end projects, focusing on engineering. As an Applied AI ML Lead within the Digital Intelligence team at JPMorgan, collaborate with all lines of business and functions to deliver software solutions. Experiment, develop, and productionize high-quality machine learning models, services, and platforms to make a significant impact on technology and business. Design and implement highly scalable and reliable data processing pipelines. Perform analysis and insights to promote and optimize business results. Contribute to a transformative journey and make a substantial impact on a wide range of customer products. Job Responsibilities Research, develop, and implement machine learning algorithms to solve complex problems related to personalized financial services in retail and digital banking domains. Work closely with cross-functional teams to translate business requirements into technical solutions and drive innovation in banking products and services. Collaborate with product managers, key business stakeholders, engineering, and platform partners to lead challenging projects that deliver cutting-edge machine learning-driven digital solutions. Conduct research to develop state-of-the-art machine learning algorithms and models tailored to financial applications in personalization and recommendation spaces. Design experiments, establish mathematical intuitions, implement algorithms, execute test cases, validate results, and productionize highly performant, scalable, trustworthy, and often explainable solutions. Collaborate with data engineers and product analysts to preprocess and analyze large datasets from multiple sources. Stay up-to-date with the latest publications in relevant Machine Learning domains and find applications for the same in your problem spaces for improved outcomes. Communicate findings and insights to stakeholders through presentations, reports, and visualizations. Work with regulatory and compliance teams to ensure that machine learning models adhere to standards and regulations. Mentor Junior Machine Learning associates in delivering successful projects and building successful careers in the firm. Participate and contribute back to firm-wide Machine Learning communities through patenting, publications, and speaking engagements. Required qualifications, capabilities and skills Expert in at least one of the following areas: Natural Language Processing, Knowledge Graph, Computer Vision, Speech Recognition, Reinforcement Learning, Ranking and Recommendation, or Time Series Analysis. Deep knowledge in Data structures, Algorithms, Machine Learning, Data Mining, Information Retrieval, Statistics. Demonstrated expertise in machine learning frameworks: Tensorflow, Pytorch, pyG, Keras, MXNet, Scikit-Learn. Strong programming knowledge of python, spark; Strong grasp on vector operations using numpy, scipy; Strong grasp on distributed computation using Multithreading, Multi GPUs, Dask, Ray, Polars etc. Strong analytical and critical thinking skills for problem solving. Excellent written and oral communication along with demonstrated teamwork skills. Demonstrated ability to clearly communicate complex technical concepts to both technical and non-technical audiences Experience in working in interdisciplinary teams and collaborating with other researchers, engineers, and stakeholders. A strong desire to stay updated with the latest advancements in the field and continuously improve one's skills Preferred qualification, capabilities and skills Deep hands-on experience with real-world ML projects, either through academic research, internships, or industry roles. Experience with distributed data/feature engineering using popular cloud services like AWS EMR Experience with large scale training, validation and testing experiments. Experience with cloud Machine Learning services in AWS like Sagemaker. Experience with Container technology like Docker, ECS etc. Experience with Kubernetes based platform for Training or Inferencing. Contributions to open-source ML projects can be a plus. Participation in ML competitions (e.g., Kaggle) and hackathons demonstrating practical skills and problem-solving abilities. Understanding of how ML can be applied to various domains like healthcare, finance, robotics, etc. ABOUT US

Lead Assistant Manager EXL/LAM/1411156 EXL DigitalGurgaon Posted On 03 Jul 2025 End Date 17 Aug 2025 Required Experience 2 - 10 Years Basic Section Number Of Positions 2 Band B2 Band Name Lead Assistant Manager Cost Code G090140 Campus/Non Campus NON CAMPUS Employment Type Permanent Requisition Type New Max CTC 1500000.0000 - 3000000.0000 Complexity Level Not Applicable Work Type Hybrid – Working Partly From Home And Partly From Office Organisational Group EXL Digital Sub Group Insurance Organization EXL Digital LOB Digital SBU Digital Country India City Gurgaon Center IN Gurgaon C61 Skills Skill PYTHON SAS Minimum Qualification B.TECH/B.E Certification No data available Job Description We are currently seeking a talented Python Developer with a strong foundation in software development and a keen interest in artificial intelligence and machine learning. While AI/ML knowledge is not mandatory, it is considered an asset for this role. As a Python Developer at EXL you will have the opportunity to work on diverse projects and collaborate with cross-functional teams to deliver high-quality solutions. Responsibilities: Develop and maintain scalable and robust Python applications and services. Collaborate with software engineers, data scientists, and other stakeholders to integrate AI/ML components into software solutions. Assist in implementing AI/ML algorithms and models using Python-based libraries and frameworks. Participate in code reviews, testing, and debugging activities to ensure the quality and reliability of software products. Stay updated on emerging technologies and trends in AI/ML to contribute insights and ideas for enhancing our products and services. Work closely with data engineers to access, preprocess, and analyze data for AI/ML model development. Document code, processes, and best practices to facilitate knowledge sharing and collaboration within the team. Provide support and assistance to other team members as needed. Qualifications: Bachelor’s or master’s degree in computer science, Engineering, or related field. Strong proficiency in Python programming language. Familiarity with software development methodologies, tools, and best practices. Understanding of basic concepts in artificial intelligence and machine learning is good to have. Strong proficiency in python programming for ML development Hand on experience working with ML frameworks (Tensor, Scikit, etc.) Knowledge of Azure cloud and especially working with Azure ML studio and cognitive services. Knowledge on working with SQL, NO SQL Databases and REST APIs Knowledge on Azure OpenAI is good have and preferred. Dataset preparation and cleansing for model creation. Working knowledge of different types of data (structured, semi-structured, and unstructured) Expertise in python frameworks such as Fast API, Flask and Django. Working with huge data sets and data analysis with Pandas and NumPy Working with Python ORM Libraries Ability to handle large datasets. Ability to work independently and collaboratively in a fast-paced environment. Excellent problem-solving skills and attention to detail. Effective communication and interpersonal skills. While prior experience or knowledge in AI/ML is preferred, we welcome candidates who are passionate about learning and growing in this field. If you are a talented Python Developer looking to expand your skills and contribute to exciting projects, we encourage you to apply and join our dynamic team at EXL. Workflow Workflow Type L&S-DA-Consulting

Job description We are looking for 2+ years exp AI Developer to work at our organisation Job Description: We are looking for passionate and talented AI to join our team and work on cutting-edge artificial intelligence and machine learning projects. This role will provide hands-on experience in AI model development, data processing, and deploying intelligent solutions. Key Responsibilities: Develop, train, and test machine learning and deep learning models Work with large datasets, preprocess data, and optimize models Implement AI algorithms for real-world applications such as NLP, computer vision, and predictive analytics Collaborate with cross-functional teams to integrate AI solutions into products Stay updated with the latest AI advancements and research Write clean, efficient, and well-documented code Required Skills: Strong understanding of machine learning, deep learning, and AI concepts Proficiency in Python and AI libraries Experience with data preprocessing, feature engineering, and model evaluation Familiarity with cloud platforms (AWS, Azure, or Google Cloud) is a plus Excellent problem-solving and analytical skills Strong communication and teamwork abilities Job Types: Full-time, Permanent Job Types: Full-time, Permanent Benefits: Provident Fund Location Type: In-person Schedule: Day shift Morning shift Application Question(s): How many years of AI Developer experience your having? Current Salary and Salary Expectation Notice period duration Experience: ML and Deep learning: 2 years (Preferred) Location: Coimbatore, Tamil Nadu (Required) Work Location: In person

Job Description: Anti-Spoofing/Liveness Detection Engineer The Anti-Spoofing/Liveness Detection Engineer focuses on developing advanced systems to detect and prevent spoofing attacks during biometric authentication processes. This role involves utilizing machine learning and deep learning techniques to create models capable of distinguishing between genuine human interactions and fraudulent attempts. Main Responsibilities  - Liveness Detection System Design: Develop and design liveness detection systems that utilize AI algorithms to differentiate between real and fake biometric data. This includes analyzing facial features, eye movements, and other physiological indicators. - Deep Learning Model Development : Build and optimize deep learning models specifically for liveness detection. This ivolves selecting appropriate algorithms, conducting experiments, and optimizing model parameters to enhance accuracy and reliability. - Feature Engineering: Identify and extract features from biometric data that are crucial for detecting spoofing attempts. This includes texture analysis, motion-based detection, and 3D depth analysis. - Data Collection and Preprocessing: Collaborate with data scientists to collect, clean, and preprocess large datasets required for training liveness detection models. Ensure data integrity and suitability for model development. - Algorithm Implementation: Implement machine learning algorithms capable of processing realtime biometric data to detect inconsistencies indicative of spoofing attempts. This includes integrating multimodal approaches such as facial recognition, fingerprint scanning, and iris recognition. - System Testing and Validation: Conduct rigorous testing of liveness detection systems to ensure performance in real-world scenarios. Validate models against various spoofing techniques to ensure robustness. - Monitoring and Maintenance: Deploy liveness detection systems into production environments, ensuring scalability and high performance. Continuously monitor system outputs to identify any issues with accuracy or efficiency. Required Skills - Machine Learning Expertise: In-depth understanding of machine learning frameworks such as TensorFlow, Keras, or PyTorch. Experience in developing deep learning models is essential. - Programming Skills: Proficiency in programming languages such as Python, Java, or R for model development and algorithm implementation. - Analytical Skills: Strong problem-solving abilities with a solid grasp of statistics, probability theory, and data analysis techniques. - Collaboration Skills : Ability to work effectively with cross-functional teams (including data scientists, software engineers, and product managers) to achieve common goals. Preferred Qualifications - Experience in similar roles focusing on anti-spoofing or biometric security systems. - Bachelor's degree in Computer Science, Mathematics, or a related field. - Familiarity with anti-spoofing standards for biometrics such as NIST ISO/IEC 30107 or FIDO. - Innovative mindset with a passion for continuous learning and keeping up with the latest advancements in AI and machine learning technologies.

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

Data Science Intern 📍 Location: Remote (100% Virtual) 📅 Duration: 3 Months 💸 Stipend for Top Interns: ₹15,000 🎁 Perks: Certificate | Letter of Recommendation | Full-Time Offer (Based on Performance) About INLIGHN TECH INLIGHN TECH is a fast-growing edtech startup offering hands-on, project-based virtual internships designed to prepare students and fresh graduates for today’s tech-driven industry. The Data Science Internship focuses on real-world applications of machine learning, statistics, and data engineering to solve meaningful problems. 🚀 Internship Overview As a Data Science Intern , you'll explore large datasets, build models, and deliver predictive insights. You'll work with machine learning algorithms , perform data wrangling , and communicate your results with visualizations and reports. 🔧 Key Responsibilities Collect, clean, and preprocess structured and unstructured data Apply machine learning models for regression, classification, clustering, and NLP Work with tools like Python, Jupyter Notebook, Scikit-learn, TensorFlow , and Pandas Conduct exploratory data analysis (EDA) to discover trends and insights Visualize data using Matplotlib, Seaborn , or Power BI/Tableau Collaborate with other interns and mentors in regular review and feedback sessions Document your work clearly and present findings to the team ✅ Qualifications Pursuing or recently completed a degree in Data Science, Computer Science, Statistics, or a related field Proficiency in Python and understanding of libraries such as Pandas, NumPy, Scikit-learn Basic knowledge of machine learning algorithms and statistical concepts Familiarity with data visualization tools and SQL Problem-solving mindset and keen attention to detail Enthusiastic about learning and applying data science to real-world problems 🎓 What You’ll Gain Hands-on experience working with real datasets and ML models A portfolio of projects that demonstrate your data science capabilities Internship Certificate upon successful completion Letter of Recommendation for top-performing interns Opportunity for a Full-Time Offer based on performance Exposure to industry-standard tools, workflows, and best practices

Work Level : Individual Core : Communication Skills, Problem Solving, Execution Leadership : Decisive, Team Alignment, Working Independently Industry Type : IT Services & Consulting Function : Data Analyst Key Skills : Data Analytics,Data Analysis,Python,R,MySQL,Cloud,AWS,Bigdata,Big Data Platforms,Business Intelligence (BI),Tableau,Data Science,Statistical Modeling Education : Graduate Note: This is a requirement for one of the Workassist Hiring Partner. Responsibilities: This is a Remote Position. Collect, clean, and preprocess data from various sources. Perform exploratory data analysis (EDA) to identify trends and patterns. Develop dashboards and reports using tools like Excel, Power BI, or Tableau. Use SQL to query and manipulate large datasets. Assist in building predictive models and performing statistical analyses. Present insights and recommendations based on data findings. Collaborate with cross-functional teams to support data-driven decision-making. Company Description Workassist is an online recruitment and employment solution platform based in Lucknow, India. We provide relevant profiles to employers and connect job seekers with the best opportunities across various industries. With a network of over 10,000+ recruiters, we help employers recruit talented individuals from sectors such as Banking & Finance, Consulting, Sales & Marketing, HR, IT, Operations, and Legal. We have adapted to the new normal and strive to provide a seamless job search experience for job seekers worldwide. Our goal is to enhance the job seeking experience by leveraging technology and matching job seekers with the right employers. For a seamless job search experience, visit our website: https://bit.ly/3QBfBU2 (Note: There are many more opportunities apart from this on the portal. Depending on the skills, 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!

Job Title: Senior AI/ML Developer Experience: 8-10 Years Location: [Mumbai] Job Type: [Full-Time] Key Responsibilities:  Lead the design and development of machine learning models using Python, TensorFlow, and other AI/ML frameworks.  Build, train, and optimize machine learning models to improve business processes and outcomes.  Work with large datasets in distributed environments using PySpark, Hadoop, and HIVE.  Analyze and preprocess data, clean datasets, and implement feature engineering techniques.  Collaborate with data scientists, engineers, and product teams to deliver AI-powered solutions.  Conduct model analysis and performance evaluations, ensuring the accuracy and effectiveness of ML models.  Maintain and document machine learning workflows and processes in a collaborative environment.  Utilize Git for version control and JIRA for task management and project tracking.  Continuously monitor and improve model performance, ensuring scalability and efficiency.  Stay updated with the latest trends and advancements in AI/ML to enhance development capabilities. Skills and Qualifications:  8-10 years of experience in AI/ML development with a strong focus on model building and analysis.  Strong proficiency in Python for developing machine learning algorithms and solutions.  Experience with PySpark, Hadoop, and HIVE for working with large datasets in a distributed environment.  Hands-on experience with TensorFlow for deep learning model development and training.  Solid understanding of machine learning algorithms, techniques, and frameworks.  Experience with notebooks (e.g., Jupyter) for model development, analysis, and experimentation.  Strong skills in model evaluation, performance tuning, and optimization.  Proficiency with Git for version control and JIRA for project management.  Excellent problem-solving skills and attention to detail.  Strong communication skills and ability to collaborate with cross-functional teams. Preferred Qualifications:  Experience with cloud platforms (AWS, Azure, GCP) for machine learning deployment.  Knowledge of additional AI/ML frameworks such as Keras, Scikit-learn, or PyTorch.  Familiarity with CI/CD pipelines and DevOps practices for machine learning.  Experience with data visualization tools and libraries (e.g., Matplotlib, Seaborn).  Background in statistical analysis and data mining.

Machine Learning Intern (Paid) Company: Unified Mentor Location: Remote Duration: 3 months Opportunity: Full-time based on performance, with Certificate of Internship Application Deadline : 5th July 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 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 (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: 5th July 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! 🚀

**We are Looking for Immediate Joiners** Job Title: AI/ML Engineer Location: Hybrid (Remote & Onsite) Job Type: Full-time Experience Level : Mid Job Summary: We are seeking a skilled AI/ML Engineer to design, develop, and implement machine learning models and AI-driven solutions. The ideal candidate will work closely with cross-functional teams to integrate AI into our products and services, ensuring efficiency and scalability. Key Responsibilities: · Develop and deploy machine learning models and AI algorithms. · Preprocess and analyze large datasets for training and validation. · Optimize model performance and scalability in real-world applications. · Design and implement AI-driven solutions for predictive analytics and automation. · Collaborate with software engineers, data scientists, and domain experts to integrate AI solutions. · Monitor and maintain deployed models, ensuring continuous improvements. · Develop and maintain APIs for AI-driven chat responses and data ingestion. · Ensure AI models are efficiently stored and retrieved from vector databases. · Stay updated with the latest trends and advancements in AI and ML. Required Skills & Qualifications: · Strong programming skills in Python. · Experience with machine learning algorithms, deep learning, and data preprocessing techniques. · Expertise in web frameworks, particularly FastAPI. · Proficiency in working with structured and unstructured datasets. · Experience with databases including MongoDB, PostgreSQL, and Weaviate (vector databases, semantic search, hybrid search, distance metrics). · Strong understanding of Retrieval-Augmented Generation (RAGs) and Large Language Models (LLMs), including prompt engineering and NLP techniques. · Knowledge of vector embeddings and semantic search. · Experience in infrastructure management, including Docker, Kubernetes, and cloud platforms (GCP/Azure). · Experience in MLOps and CI/CD for AI models. · Ability to design and deploy Merchant-specific API endpoints for AI-driven chat responses and data ingestion. · Strong problem-solving and analytical skills. Educational Qualifications: · Bachelor’s/master’s degree in computer science, Artificial Intelligence, Data Science, or a related field. Preferred Experience: · 2+ years of experience in AI/ML model development and deployment. · Hands-on experience with large-scale data processing and model optimization. · Experience in productionizing AI solutions in real-world applications. · Experience with OpenAPI (Swagger) for API documentation and usability.

We are seeking a talented Research Engineer to join our AI team and drive cutting-edge research in artificial intelligence and machine learning. This role combines deep technical research with practical implementation, requiring both theoretical knowledge and hands-on engineering skills to develop novel AI systems and advance the state of the art. Key Responsibilities Research & Development Conduct original research in AI/ML domains such as deep learning, natural language processing, computer vision, reinforcement learning. Design and implement novel algorithms, architectures, and methodologies Stay current with latest research developments and identify promising directions for investigation Technical Implementation Algorithm Implementation: Translate algorithms and models into production-ready software solutions, ensuring scalability and efficiency. Data Preparation and Analysis: Collaborate with data scientists to preprocess and analyze large datasets, ensuring data quality and relevance for training AI models. System Integration: Integrate AI solutions with existing systems and applications, ensuring seamless functionality and performance. Performance Optimization: Monitor and optimize AI models for performance, accuracy, and scalability, making adjustments as needed. Required Qualifications: Education & Experience - 3+ years of research experience in AI/ML, either in academia or industry Technical Skills: Expert-level programming skills in Python, with experience in PyTorch, TensorFlow, or JAX Deep understanding of machine learning fundamentals, statistics, and optimization Experience with distributed computing, cloud platforms (AWS, GCP, Azure) Proficiency in mathematical modeling and algorithm design Experience with version control, CI/CD, and software engineering best practices Research Capabilities Proven ability to formulate research questions and design appropriate methodologies Strong analytical and problem-solving skills Experience with experimental design, statistical analysis, and result interpretation Ability to translate research ideas into practical implementations Preferred Qualifications Experience in specific AI domains relevant to our focus areas Track record of successful research-to-product transitions Experience with MLOps, model deployment, and production ML systems Knowledge of hardware acceleration (GPUs, TPUs) and model optimization Experience with large-scale data processing and analysis Strong written and verbal communication skills [Immediate Joiners Preferred] Reach Out to us at: richa.j@vmstechs.com

Job Description As a Data Science Intern, you will collaborate with our data science and analytics teams to work on meaningful projects involving data analysis, predictive modeling, and statistical modeling. You will have the opportunity to apply your academic knowledge in a practical, fast-paced environment, contribute to key data-driven projects, and gain valuable experience with industry-leading tools and technologies. Responsibilities Assist in collecting, cleaning, and preprocessing data from various sources. Perform exploratory data analysis to identify trends, patterns, and anomalies. Develop and implement machine learning models and algorithms. Create data visualizations and reports to communicate findings to stakeholders. Collaborate with team members on data-driven projects and research. Participate in meetings and contribute to discussions on project progress and strategy. Work with large datasets to clean, preprocess, and analyze data. Build and deploy statistical and machine learning models to generate actionable insights. Conduct exploratory data analysis (EDA) to uncover trends, patterns, and correlations. Assist in the creation of data visualizations and dashboards for reporting insights. Support the development and improvement of data pipelines and algorithms. Collaborate with cross-functional teams to understand data needs and translate them into actionable analytics solutions. Contribute to the documentation and presentation of results, findings, and recommendations. Participate in team meetings, brainstorming sessions, and project discussions. Duration: 2 Months (with the possibility of extending up to 6 months) MODE: Work From Home (Online) Requirements Any Graduate / PassOuts / Freasher can apply. Currently pursuing a Bachelor's or Master’s degree in Data Science, Computer Science, Mathematics, Statistics, or a related field. Proficiency in programming languages such as Python, R, or SQL. Strong foundation in statistics, probability, and data analysis techniques. Benefits Internship Certificate Letter of recommendation Stipend Performance Based Part time work from home (2-3 Hrs per day) 5 days a week, Fully Flexible Shift

Job Title: Data Analyst Intern Company: Enerzcloud Solutions Location: Remote Job Type: Internship (3 months) Stipend: ₹23,000/month Department: Data & Analytics About Us Enerzcloud Solutions is a fast-growing, technology-driven company focused on data innovation and cloud-based business solutions. We help organizations make smarter decisions by turning raw data into actionable insights. Join us as we shape a future powered by data. Internship Overview We are looking for a passionate and motivated Data Analyst Intern to join our dynamic Data & Analytics team. This internship will provide hands-on experience working with real-world datasets and business problems. You’ll work under the guidance of experienced analysts and gain practical skills in data analysis, reporting, and visualization. Key Responsibilities Collect, clean, and preprocess structured and unstructured data from various sources Analyze datasets to uncover trends, patterns, and insights Create dashboards and visual reports using tools like Excel, Power BI, or Tableau Assist in preparing reports and presentations for internal stakeholders Collaborate with cross-functional teams including business, marketing, and tech teams Stay updated with the latest trends and tools in data analytics Required Skills & Qualifications Pursuing or recently completed a Bachelor’s degree in Computer Science, Statistics, Mathematics, or a related field Basic knowledge of Excel, SQL, and one data visualization tool (Power BI/Tableau preferred) Familiarity with Python or R for data analysis is a plus Strong analytical thinking and attention to detail Good communication and teamwork skills Eagerness to learn and grow in a data-driven environment Perks & Benefits ₹23,000 monthly stipend Work from home flexibility Hands-on experience with real datasets and projects Mentorship from experienced data professionals Certificate of completion Top-performing interns may be offered a full-time position after successful completion of the internship

Job description We are looking for 2+ years exp AI Developer to work at our organisation Job Description: We are looking for passionate and talented AI to join our team and work on cutting-edge artificial intelligence and machine learning projects. This role will provide hands-on experience in AI model development, data processing, and deploying intelligent solutions. Key Responsibilities: Develop, train, and test machine learning and deep learning models Work with large datasets, preprocess data, and optimize models Implement AI algorithms for real-world applications such as NLP, computer vision, and predictive analytics Collaborate with cross-functional teams to integrate AI solutions into products Stay updated with the latest AI advancements and research Write clean, efficient, and well-documented code Required Skills: Strong understanding of machine learning, deep learning, and AI concepts Proficiency in Python and AI libraries Experience with data preprocessing, feature engineering, and model evaluation Familiarity with cloud platforms (AWS, Azure, or Google Cloud) is a plus Excellent problem-solving and analytical skills Strong communication and teamwork abilities Job Types: Full-time, Permanent Job Types: Full-time, Permanent Benefits: Provident Fund Location Type: In-person Schedule: Day shift Morning shift Application Question(s): How many years of AI Developer experience your having? Current Salary and Salary Expectation Notice period duration Experience: ML and Deep learning: 2 years (Preferred) Location: Coimbatore, Tamil Nadu (Required) Work Location: In person

5 - 8 Years' Experience With Over 8 years of web development experience, including 5+ years of expert proficiency in Drupal services such as working with core services, extending or overriding services, creating new services, and managing services at the codebase level. Design, develop, test, and deliver technology solutions by translating requirements into functional, user-friendly websites for internal and external customers. Understand and adhere to the Software Development Life Cycle (SDLC), ensuring timely completion and production readiness of all projects. Create and deliver design specifications and test plans for development projects. Analyze, troubleshoot, debug, and resolve website and system issues efficiently. Participate actively in team meetings, coaching sessions, and problem-solving discussions, contributing to peer code reviews. Interact effectively with business stakeholders to gather requirements and ensure alignment with business needs. Enforce and contribute to best practices that improve efficiency and reduce technical debt across our websites and systems. Establish and follow technical standards for application development, providing proper documentation. Demonstrate a strong understanding of security principles as they relate to web applications. Provide coaching, mentoring, and training to less experienced team members. Collaborate with various internal departments and external organizations, including vendors, to implement and integrate applications while resolving production issues. Exhibit advanced functional knowledge of assigned applications and take on administration and support responsibilities. Complete tasks proactively, seeking high-quality outcomes, and promptly responding to assignments and deadlines. Prepare and provide status and progress reports for all assigned work activities. Technical Requirements 4+ years of experience in Web Development. 4+ years of experience with Drupal, including : Proficiency with Drupal services : Working with core services Extending and overriding services Creating new services Managing and adding services at the codebase level Proficiency in Drupal configuration management and entity management : Configuration updates Database updates Managing configurations for multiple environments Proficiency with Drupal modules : Creating new modules Understanding Drupal hooks and hook hierarchy Theming through custom modules Creating and adding libraries Understanding of Drupal theming : Knowledge of theme namespacing Proficiency in code-based theming concepts (e.g., preprocess hooks) Composer project management expertise : Understanding how the lockfile and versioning work (important for security scans) Ability to find, create, and apply patches to core and contributed modules Proficiency in HTML, CSS, and JavaScript. Strong PHP skills, including object-oriented programming. Experience working with APIs. High proficiency with Git : Comfortable conducting code reviews and mentoring junior developers Proficient in merge management and conflict resolution Familiarity with various caching layers (e.g., OPCache, Memcache, Redis, Varnish). Experience with database management and SQL. Proficiency with web development and debugging tools. Ability to read and interpret syslogs. Skilled in creating and debugging Docker environments. Strong commitment to security and performance best practices. Adherence to coding standards and thorough documentation. Excellent time management and problem-solving skills. Ability to work independently and collaboratively across teams. Strong written and verbal communication skills. Enthusiasm for learning new tools and techniques and for sharing knowledge. Experience with Azure service creation and management. Ability to analyze application interactions and troubleshoot issues. Skilled in collaborating with teams managing dependent services to stay informed about changes that may impact applications. Familiarity with Node.js and React.js. Active participation in the Drupal community. Skills Drupal 7 to Drupal 10 Migration Drupal, Web Development, Configuration,Git (ref:hirist.tech)

We are looking for a talented AI Developer to join our growing team. As an AI Developer, you will be responsible for designing, developing, and implementing AI solutions that meet our clients' needs. You Will Collaborate With Cross-functional Teams To Integrate AI Models Into Our Products And Services, Leveraging Cutting-edge Technologies To Drive Innovation And Deliver Impactful Design and develop AI models and algorithms to solve business problems. Implement machine learning and deep learning algorithms for various applications. Collaborate with data scientists and engineers to preprocess data and build datasets for training models. Integrate AI models into software applications and platforms. Optimize AI models for performance, scalability, and efficiency. Conduct research to stay current with the latest advancements in AI and machine learning technologies. Test and validate AI models to ensure accuracy and reliability. Deploy AI models into production environments and monitor their performance. Collaborate with product managers and stakeholders to understand project requirements and propose AI solutions. Requirements Bachelor's degree in Computer Science, Engineering, Mathematics, or related field; Master's degree or PhD preferred. Proficiency in programming languages such as Python, Java, or C++. Hands-on experience with AI frameworks and libraries (e., TensorFlow, PyTorch, scikit-learn). Strong understanding of machine learning algorithms and techniques (e., supervised learning, unsupervised learning, reinforcement learning). Experience with data preprocessing, feature engineering, and model evaluation. Knowledge of cloud platforms (e., AWS, Azure, GCP) and familiarity with deploying AI models in cloud environments. Excellent problem-solving skills and ability to work independently as well as part of a team. Strong communication skills and ability to collaborate effectively with cross-functional teams. Preferred Qualifications Experience with natural language processing (NLP) and computer vision applications. Familiarity with big data technologies (e., Hadoop, Spark) for handling large-scale datasets. Understanding of DevOps practices and experience with CI/CD pipelines. Publications or contributions to the AI and machine learning community (e., research papers, open-source projects). (ref:hirist.tech)

We are currently seeking a talented Python Developer with a strong foundation in software development and a keen interest in artificial intelligence and machine learning. While AI/ML knowledge is not mandatory, it is considered an asset for this role. As a Python Developer at EXL you will have the opportunity to work on diverse projects and collaborate with cross-functional teams to deliver high-quality solutions. Responsibilities Develop and maintain scalable and robust Python applications and services. Collaborate with software engineers, data scientists, and other stakeholders to integrate AI/ML components into software solutions. Assist in implementing AI/ML algorithms and models using Python-based libraries and frameworks. Participate in code reviews, testing, and debugging activities to ensure the quality and reliability of software products. Stay updated on emerging technologies and trends in AI/ML to contribute insights and ideas for enhancing our products and services. Work closely with data engineers to access, preprocess, and analyze data for AI/ML model development. Document code, processes, and best practices to facilitate knowledge sharing and collaboration within the team. Provide support and assistance to other team members as needed. Qualifications Bachelor’s or master’s degree in computer science, Engineering, or related field. Strong proficiency in Python programming language. Familiarity with software development methodologies, tools, and best practices. Understanding of basic concepts in artificial intelligence and machine learning is good to have. Strong proficiency in python programming for ML development Hand on experience working with ML frameworks (Tensor, Scikit, etc.) Knowledge of Azure cloud and especially working with Azure ML studio and cognitive services. Knowledge on working with SQL, NO SQL Databases and REST APIs Knowledge on Azure OpenAI is good have and preferred. Dataset preparation and cleansing for model creation. Working knowledge of different types of data (structured, semi-structured, and unstructured) Expertise in python frameworks such as Fast API, Flask and Django. Working with huge data sets and data analysis with Pandas and NumPy Working with Python ORM Libraries Ability to handle large datasets. Ability to work independently and collaboratively in a fast-paced environment. Excellent problem-solving skills and attention to detail. Effective communication and interpersonal skills. While prior experience or knowledge in AI/ML is preferred, we welcome candidates who are passionate about learning and growing in this field. If you are a talented Python Developer looking to expand your skills and contribute to exciting projects, we encourage you to apply and join our dynamic team at EXL.