779 Matplotlib Jobs - Page 30

Job Title: 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: 18th May 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! 🚀 Show more Show less

Experience: 4-7 Location: Pune Primary Skills: Machine Learning, NLP, Pandas, NumPy, SciPy, scikit-learn, NLTK Job Description: Strong background in machine learning (unsupervised and supervised techniques) with significant experience in text analytics/NLP. Excellent understanding of machine learning techniques and algorithms, such as k-NN, Naive Bayes, SVM, Decision Forests, logistic regression, MLPs, RNNs, etc. Strong programming ability in Python with experience in the Python data science ecosystem: Pandas, NumPy, SciPy, scikit-learn, NLTK, etc. Good knowledge of database query languages like SQL and experience with databases (PostgreSQL/MySQL/ Oracle/ MongoDB) Excellent verbal and written communication skills, Excellent analytical and problem-solving skills Degree in Computer Science, Engineering or relevant field is preferred. Proven Experience as Data Analyst or Data Scientist Good To Have: Familiarity with Hive, Pig and Scala. Experience with Data Visualization Tools like matplotlib, plotly, seaborn, ggplot, etc. Experience with using cloud technologies on AWS/ Microsoft Azure. Show more Show less

Data Science Intern Company: INLIGHN TECH Location: Remote Duration: 3 months (Unpaid) About INLIGHN TECH At INLIGHN TECH, we empower aspiring data scientists by providing a platform to gain hands-on experience through real-world projects. Our internships are designed to enhance your skills, build your portfolio, and prepare you for a successful career in data science. Responsibilities: Collect, preprocess, and analyze large datasets to derive actionable insights. Develop and fine-tune predictive models and machine learning algorithms. Conduct exploratory data analysis (EDA) to uncover patterns and trends. Create compelling data visualizations and dashboards to present findings effectively. Collaborate with cross-functional teams to deliver data-driven solutions. Requirements: Currently enrolled in or a graduate of a program in Data Science, Computer Science, Statistics, or a related field. Proficiency in Python or R for data analysis and modeling. Familiarity with machine learning libraries such as scikit-learn, TensorFlow, or PyTorch (preferred). Experience with data visualization tools (e.g., Tableau, Power BI, or Matplotlib). Strong analytical and problem-solving skills. Excellent communication and teamwork capabilities. Benefits: Gain practical, hands-on experience in data science projects. Receive a Certificate of Internship and a Letter of Recommendation. Build a portfolio showcasing your data science models and applications. Show more Show less

Job Description Position Title: Engineer, Data Science Business Title: Associate Specialist/Specialist - Data Science We are seeking a highly motivated and enthusiastic Senior Data Scientist with over 8 years of experience to join our dynamic team. The ideal candidate will have a strong background in AI/ML analytics and a passion for leveraging data to drive business insights and innovation. Key Responsibilities Develop and implement machine learning models and algorithms. Work closely with project stakeholders to understand requirements and translate them into deliverables. Utilize statistical and machine learning techniques to analyze and interpret complex data sets. Stay updated with the latest advancements in AI/ML technologies and methodologies. Collaborate with cross-functional teams to support various AI/ML initiatives. Qualifications Bachelor’s degree in Computer Science, Data Science, Statistics, Mathematics, or a related field. Strong understanding of machine learning , deep learning and Generative AI concepts. Preferred Skills Experience in machine learning techniques such as Regression, Classification, Predictive modeling, Clustering, Deep Learning stack, NLP using python Strong knowledge and experience in Generative AI/ LLM based development. Strong experience working with key LLM models APIs (e.g. AWS Bedrock, Azure Open AI/ OpenAI) and LLM Frameworks (e.g. LangChain, LlamaIndex). Experience with cloud infrastructure for AI/Generative AI/ML on AWS, Azure. Expertise in building enterprise grade, secure data ingestion pipelines for unstructured data – including indexing, search, and advance retrieval patterns. Knowledge of effective text chunking techniques for optimal processing and indexing of large documents or datasets. Proficiency in generating and working with text embeddings with understanding of embedding spaces and their applications in semantic search and information. retrieval. Experience with RAG concepts and fundamentals (VectorDBs, AWS OpenSearch, semantic search, etc.), Expertise in implementing RAG systems that combine knowledge bases with Generative AI models. Knowledge of training and fine-tuning Foundation Models (Athropic, Claud , Mistral, etc.), including multimodal inputs and outputs. Proficiency in Python, TypeScript, NodeJS, ReactJS (and equivalent) and frameworks. (e.g., pandas, NumPy, scikit-learn), Glue crawler, ETL Experience with data visualization tools (e.g., Matplotlib, Seaborn, Quicksight). Knowledge of deep learning frameworks (e.g., TensorFlow, Keras, PyTorch). Experience with version control systems (e.g., Git, CodeCommit). Good To Have Skills Knowledge and Experience in building knowledge graphs in production. Understanding of multi-agent systems and their applications in complex problem-solving scenarios. Designation/Titles(Local) are given as per relevant work experience. Equal Opportunity Employer Pentair is an Equal Opportunity Employer. With our expanding global presence, cross-cultural insight and competence are essential for our ongoing success. We believe that a diverse workforce contributes different perspectives and creative ideas that enable us to continue to improve every day. Show more Show less

Job Title: 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: 19th May 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! 🚀 Show more Show less

Key Responsibilities: Design and deliver high-quality lectures, hands-on workshops, and project-based learning sessions in data science. Develop training materials, including presentations, exercises, datasets, and real-world case studies. Teach core topics such as Python programming, statistics, machine learning, deep learning, data visualization, and data wrangling. Guide learners through capstone projects, coding assignments, and industry use cases. Continuously update course content to reflect industry trends and new technologies. Conduct assessments and provide constructive feedback to learners. Mentor and support students through one-on-one guidance, group discussions, and career counseling sessions. Collaborate with curriculum designers and other faculty members to ensure effective content delivery and learning outcomes. Contribute to webinars, workshops, and seminars hosted by the organization. Required Skills & Qualifications: Bachelor's or Master’s degree in Data Science, Computer Science, Statistics, Mathematics, or a related field. Minimum 1 years of hands-on experience in data science or a related domain. Proficiency in Python, Pandas, NumPy, Scikit-learn, TensorFlow/PyTorch, SQL, and data visualization tools (e.g., Matplotlib, Seaborn, Power BI, Tableau). Strong understanding of machine learning algorithms, statistical analysis, and data preprocessing techniques. Excellent verbal and written communication skills. * Job Types: Full-time, Permanent Pay: ₹18,000.00 - ₹25,000.00 per month Benefits: Cell phone reimbursement Health insurance Provident Fund Schedule: Day shift Work Location: In person

Position/Title: Trainee - Data Science Location: Hyderabad Department: Dev/Engineering Employment type: Trainee Experience: Fresher-2 years Qualification: Graduate in Data Science, Computer Science, Statistics, or related fields Shifts (if any): 11 am onwards (Candidate should be flexible to work as per business requirement) Role & Responsibilities Assist in collecting, cleaning, and analyzing large data sets Support the development and testing of ML models and data-driven algorithms Generate insights through data visualization and basic statistical analysis Write clean, maintainable Python code for data-related tasks Collaborate with cross-functional teams to understand requirements and deliver results Document findings, code, and processes clearly for internal use Key Skills & Tools Proficiency in Python and key libraries (NumPy, Pandas, Scikit-learn, Matplotlib, etc.) Understanding of basic statistical concepts and machine learning algorithms Familiarity with SQL and data manipulation Exposure to BI tools (like Power BI or Tableau) is a plus Good problem-solving ability and eagerness to learn Strong communication and collaboration skills Good To Have Certification or coursework in data science and machine learning Previous project work or internship experience in data science (preferred but not mandatory) The Job responsibilities of the candidate shall include but not limited to the Job Description & to perform any other tasks/functions as required by the Company. Show more Show less

We are a forward-thinking Training Institute on a mission to shape the next generation of tech professionals. We're looking for an experienced AI & Machine Learning Trainer who can deliver cutting-edge knowledge with clarity, hands-on examples, and real-world relevance. Key Responsibilities: Conduct training sessions on AI, Machine Learning , and related technologies. Cover key concepts such as supervised/unsupervised learning, deep learning, model evaluation, neural networks, NLP, and AI applications. Design and develop training materials, real-time projects, and assessments. Guide students through coding, algorithms, and data handling using Python, Scikit-learn, TensorFlow, Keras , etc. Stay updated with AI/ML advancements and incorporate them into training. Requirements: Strong foundation in AI & ML concepts with practical experience. Proficient in Python and ML libraries (e.g., Scikit-learn, Pandas, TensorFlow, Keras). Experience in building and deploying ML models. Prior teaching/training experience is preferred. Excellent communication, presentation, and mentoring skills. Nice to Have: Knowledge of cloud-based ML platforms (AWS SageMaker, Azure ML, Google AI). Familiarity with AI ethics, big data integration, and real-world applications. Experience with data visualization tools (e.g., Matplotlib, Seaborn, Power BI). Job Types: Full-time, Permanent Pay: ₹9,764.07 - ₹33,519.44 per month Schedule: Day shift Language: English (Preferred) Work Location: In person

EXPERIENCE THAT MATTERS Our Employees Always Come First Get the Recognition You Deserve Best Opportunity to Learn & Grow Freedom & Flexibility to Perform Balance Your Professional & Personal Life Professional Yet Friendly Environment Stay Abreast with Current Technologies Think like an Entrepreneur Opportunity to Innovate & Succeed We Help Bring Out the Best in You LAUNCH A NEW CHAPTER IN YOUR CAREER Flaunt Your Talent Vrinsoft is more than your Workstation. It is an opportunity to showcase your talent too. Fueling Sportsmanship An opportunity to work in tandem with your teammates and build your team spirit Employee Collaboration A Professional Environment to collaborate with teammates! Brainstorming & exploring various perspectives Festival Celebrations Maintain the Festive Spirit as Well – We Celebrate all Festivals Ideas Worth Spreading The perfect platform to innovate, perform well and grow. Fit For Life We believe in a healthy lifestyle & support your zeal to stay fit. Helping Hands Expert help is always available to get you out of a fix. Read Learn Discover A good place to explore your potential and continue to learn and grow. WHAT WE LOOK FOR? 01. Positive Attitude Maintain a positive attitude and follow the office culture. Embrace the core values & maintain a good team attitude. 02. Leadership Traits We welcome those with leadership skills to contribute to the team and explore their potential. 03. Excellent Team Player Good team spirit and an ability to work closely with other team members. 04. Learn and Grow Eager to learn further & expand their knowledge. Passion to further their career. 05. High Goals People who set their goals high and make an effort to achieve them. 06. Self-Motivated We like self-motivated employees who have a passion for their work? RECRUITMENT PROCESS Step 01 Shortlist Candidates Accept candidate profiles Screen profiles Evaluate & verify eligibility Initial HR interview Step 02 Practical Test Aptitude test Technical test Skill test (as applicable) Step 03 Evaluation Skill Level Basic level Advanced level Expert level Step 04 HR Round Company Policies Company Culture & Perks Remuneration Answer your questions Trainee AI ML 0 - 1 years Ahmedabad Job Title: AI/ML Intern / Fresher (Entry-Level) Location: Ahmedabad, Gujarat, India (Work from Office) Experience: 0-1 year Department: Artificial Intelligence / Machine Learning Role Overview: We are looking for enthusiastic and self-motivated AI/ML Interns and Entry-Level Engineers to join our growing AI/ML department. This is a foundational opportunity to learn and contribute to cutting-edge AI solutions in domains such as healthcare, fintech, manufacturing and many more. You’ll get hands-on experience working on real-world projects, guided mentorship, and structured training. Key Responsibilities: Support data preprocessing, analysis, and annotation tasks Work on Python-based data pipelines and scripting Assist in training, evaluating, and fine-tuning machine learning models Contribute to mini-projects in computer vision, NLP, and tabular data Write clean, well-documented code and Jupyter notebooks Learn and apply tools like Pandas, Scikit-learn, TensorFlow, FastAPI, etc. Collaborate with developers, data scientists, and project managers Participate in weekly knowledge-sharing and review sessions Basic Qualifications: Bachelor's degree in Computer Science, IT, Electronics, or related field, M. Sc. (IT), M.C.A. (or currently pursuing) or College dropout with exceptional programming skills. Strong in Object Oriented Programming. Strong foundational understanding of programming concepts, frameworks (Python preferred) Basic understanding of databases (SQL or NoSQL) Familiarity with libraries such as NumPy, Pandas, Matplotlib Good communication and problem-solving skills Eagerness to learn new AI/ML concepts and techniques Team player, can work under pressure and self-motivated Bonus (Not Mandatory): Exposure to any ML frameworks (Scikit-learn, Keras, TensorFlow, PyTorch) Familiarity with APIs, Flask/FastAPI, or web development basics Understanding of basic statistics, linear regression, or classification algorithms Participation in Kaggle competitions, GitHub repos, or open-source contributions Why Join Us? Hands-on AI/ML project experience with mentorship Access to internal training material and curated AI learning paths Exposure to tools used in real-world MLOps and AI deployments Certificate of internship / Letter of recommendation (for interns) Strong potential for full-time employment based on performance Apply Now On hr@vrinsofts.com OR Call Us on +91 7043 339154

Wipro Limited (NYSE: WIT, BSE: 507685, NSE: WIPRO) is a leading technology services and consulting company focused on building innovative solutions that address clients’ most complex digital transformation needs. Leveraging our holistic portfolio of capabilities in consulting, design, engineering, and operations, we help clients realize their boldest ambitions and build future-ready, sustainable businesses. With over 230,000 employees and business partners across 65 countries, we deliver on the promise of helping our customers, colleagues, and communities thrive in an ever-changing world. For additional information, visit us at www.wipro.com. Job Description Mandatory Skill: Gen AI, LLM, GPT-3, RAG, Lang chain, Llama, AI/ML, DL, NLP or Computer Vision, Python, Tensorflow, Pytorch, Django, Keras, Pandas, NumPy Preferred Skill: AWS or GCP or Azure Cloud, MLOps, GPT-4, SQL, Scikit-learn, Matplotlib, Seaborn, Hadoop, Spark, or Apache Flink, Banking exposure Required Skill Programming Languages: Proficiency in Python, R, or Java. Experience with libraries and frameworks such as TensorFlow, PyTorch, Keras, Scikit-learn, etc. Machine Learning: Strong understanding of machine learning algorithms, including supervised and unsupervised learning, reinforcement learning, and deep learning. Data Science: Experience with data analysis, data visualization, and statistical modeling. Proficiency in using tools like Pandas, NumPy, Matplotlib, and Seaborn. Big Data Technologies: Familiarity with big data processing frameworks like Hadoop, Spark, or Apache Flink. Cloud Platforms: Experience with cloud services such as AWS, Google Cloud, or Azure for deploying AI solutions. Natural Language Processing (NLP): Knowledge of NLP techniques and tools such as NLTK, SpaCy, or GPT-3. Computer Vision: Experience with computer vision techniques and libraries such as OpenCV, YOLO, or Fast R-CNN. Problem-Solving: Strong analytical and problem-solving skills with the ability to think critically and creatively. Communication: Excellent verbal and written communication skills, with the ability to explain complex technical concepts to non-technical stakeholders. Team Collaboration: Ability to work effectively in a collaborative team environment and contribute to team success. Reinvent your world. We are building a modern Wipro. We are an end-to-end digital transformation partner with the boldest ambitions. To realize them, we need people inspired by reinvention. Of yourself, your career, and your skills. We want to see the constant evolution of our business and our industry. It has always been in our DNA - as the world around us changes, so do we. Join a business powered by purpose and a place that empowers you to design your own reinvention. Come to Wipro. Realize your ambitions. Applications from people with disabilities are explicitly welcome.

Master's degree in Computer Science, Statistics, Mathematics, or a related field. 7+ years of experience in data science and machine learning with a strong focus on model development and deployment. Expert-level knowledge of statistics, including probability theory, hypothesis testing, and statistical inference. In-depth knowledge of machine learning algorithms, including linear regression, logistic regression, decision trees, random forests, xgboost, and ensemble learning. Strong programming skills in Python and proficiency in data science libraries like pandas, scikit-learn, numpy, Pytorch/Keras, and TensorFlow. Experience with cloud computing platforms, particularly Google Cloud Platform (GCP). Excellent data visualization skills using tools like matplotlib, seaborn, or Tableau. Strong communication and presentation skills, both written and verbal. Evaluate the performance of machine learning models and refine them to improve accuracy andgeneralizability. Communicate data insights to stakeholders in a clear and concise manner, using data visualization techniques and storytelling. collaborate with data engineers, software developers, and business stakeholders to integrate data science solutions into products and services. Stay up-to-date with the latest trends and developments in data science, machine learning, and artificial intelligence. GExperience with Natural Language Processing (NLP) and Computer Vision (CV) techniques. Knowledge of DevOps methodologies and practices for continuous integration/continuous delivery (CI/CD). Experience with data warehousing and data lakes solutions like BigQuery or Snowflake. Familiarity with real-time data processing and streaming analytics. Passion for learning and staying at the forefront of data science and machine learning advancements. Show more Show less

The Applications Development Programmer Analyst is an intermediate level position responsible for participation in the establishment and implementation of new or revised application systems and programs in coordination with the Technology team. The overall objective of this role is to contribute to applications systems analysis and programming activities. Responsibilities: Utilize knowledge of applications development procedures and concepts, and basic knowledge of other technical areas to identify and define necessary system enhancements Identify and analyze issues, make recommendations, and implement solutions Utilize knowledge of business processes, system processes, and industry standards to solve complex issues Analyze information and make evaluative judgements to recommend solutions and improvements Conduct testing and debugging, utilize script tools, and write basic code for design specifications Assess applicability of similar experiences and evaluate options under circumstances not covered by procedures Develop working knowledge of Citi’s information systems, procedures, standards, client server application development, network operations, database administration, systems administration, data center operations, and PC-based applications Appropriately assess risk when business decisions are made, demonstrating particular consideration for the firm's reputation and safeguarding Citigroup, its clients and assets, by driving compliance with applicable laws, rules and regulations, adhering to Policy, applying sound ethical judgment regarding personal behavior, conduct and business practices, and escalating, managing and reporting control issues with transparency. Qualifications: 1-4 years of relevant experience Experience in programming/debugging used in business applications Working knowledge of industry practice and standards Comprehensive knowledge of specific business area for application development Working knowledge of program languages Consistently demonstrates clear and concise written and verbal communication Education: Bachelor’s degree/University degree or equivalent experience This job description provides a high-level review of the types of work performed. Other job-related duties may be assigned as required. Job Summary : We are looking for a Junior Data Scientist to join our dynamic team. The ideal candidate will have a strong foundation in data analysis, statistical modeling, and machine learning. You will work closely with senior data scientists and other stakeholders to analyze data, build predictive models, and derive actionable insights to support business decisions. Key Responsibilities : Collect, clean, and preprocess data from various sources. Perform exploratory data analysis (EDA) to identify trends, patterns, and anomalies. Develop and implement statistical models and machine learning algorithms. Collaborate with cross-functional teams to understand business requirements and translate them into data-driven solutions. Visualize data and present findings to stakeholders using tools like Matplotlib, Seaborn, or Tableau. Assist in the deployment and monitoring of machine learning models in production. Stay up-to-date with the latest developments in data science and machine learning. ------------------------------------------------------ Job Family Group: Technology ------------------------------------------------------ Job Family: Applications Development ------------------------------------------------------ Time Type: Full time ------------------------------------------------------ Citi is an equal opportunity and affirmative action employer. Qualified applicants will receive consideration without regard to their race, color, religion, sex, sexual orientation, gender identity, national origin, disability, or status as a protected veteran. Citigroup Inc. and its subsidiaries ("Citi”) invite all qualified interested applicants to apply for career opportunities. If you are a person with a disability and need a reasonable accommodation to use our search tools and/or apply for a career opportunity review Accessibility at Citi . View the " EEO is the Law " poster. View the EEO is the Law Supplement . View the EEO Policy Statement . View the Pay Transparency Posting Show more Show less

Introduction In this role, you'll work in one of our IBM Consulting Client Innovation Centers (Delivery Centers), where we deliver deep technical and industry expertise to a wide range of public and private sector clients around the world. Our delivery centers offer our clients locally based skills and technical expertise to drive innovation and adoption of new technology Your Role And Responsibilities As an Associate Data Scientist at IBM, you will work to solve business problems using leading edge and open-source tools such as Python, R, and TensorFlow, combined with IBM tools and our AI application suites. You will prepare, analyze, and understand data to deliver insight, predict emerging trends, and provide recommendations to stakeholders. In Your Role, You May Be Responsible For Implementing and validating predictive and prescriptive models and creating and maintaining statistical models with a focus on big data & incorporating machine learning. techniques in your projects Writing programs to cleanse and integrate data in an efficient and reusable manner Working in an Agile, collaborative environment, partnering with other scientists, engineers, consultants and database administrators of all backgrounds and disciplines to bring analytical rigor and statistical methods to the challenges of predicting behaviors Communicating with internal and external clients to understand and define business needs and appropriate modelling techniques to provide analytical solutions. Evaluating modelling results and communicating the results to technical and non-technical audiences Preferred Education Master's Degree Required Technical And Professional Expertise Proof of Concept (POC) Development: Develop POCs to validate and showcase the feasibility and effectiveness of the proposed AI solutions. Collaborate with development teams to implement and iterate on POCs, ensuring alignment with customer requirements and expectations. Help in showcasing the ability of Gen AI code assistant to refactor/rewrite and document code from one language to another, particularly COBOL to JAVA through rapid prototypes/ PoC Document solution architectures, design decisions, implementation details, and lessons learned. Create technical documentation, white papers, and best practice guides Preferred Technical And Professional Experience Strong programming skills, with proficiency in Python and experience with AI frameworks such as TensorFlow, PyTorch, Keras or Hugging Face. Understanding in the usage of libraries such as SciKit Learn, Pandas, Matplotlib, etc. Familiarity with cloud platforms Experience and working knowledge in COBOL & JAVA would be preferred Show more Show less

Profile Description We’re seeking someone to join our team as Senior Machine Learning Engineer with expertise in architecture, design and development of data and ML centric applications at scale. The right candidate should have a background in data engineering and requisite experience working with Machine learning (ML) algorithms and Frameworks. The role is a confluence of Developer, ML and data analysis. WM_Technology Wealth Management Technology is responsible for the design, development, delivery, and support of the technical solutions behind the products and services used by the Morgan Stanley Wealth Management Business. Practice areas include: Analytics, Intelligence, & Data Technology (AIDT), Client Platforms, Core Technology Services (CTS), Financial Advisor Platforms, Global Banking Technology (GBT), Investment Solutions Technology (IST), Institutional Wealth and Corporate Solutions Technology (IWCST), Technology Delivery Management (TDM), User Experience (UX), and the CAO team. Services Tech Services Technology is a dynamic and fast-paced area within the Firm's WM Technology Division. The charter of this department is to develop applications that covers Service to Sales which includes Contact Center, Client Onboarding, Account Opening, CRM, JAWS, Document Management, Workflows, RPA that supports FAs, CSAs, and Operations. Software Engineering This is Director position that develops and maintains software solutions that support business needs. Morgan Stanley is an industry leader in financial services, known for mobilizing capital to help governments, corporations, institutions, and individuals around the world achieve their financial goals. At Morgan Stanley India, we support the Firm’s global businesses, with critical presence across Institutional Securities, Wealth Management, and Investment management, as well as in the Firm’s infrastructure functions of Technology, Operations, Finance, Risk Management, Legal and Corporate & Enterprise Services. Morgan Stanley has been rooted in India since 1993, with campuses in both Mumbai and Bengaluru. We empower our multi-faceted and talented teams to advance their careers and make a global impact on the business. For those who show passion and grit in their work, there’s ample opportunity to move across the businesses for those who show passion and grit in their work. Interested in joining a team that’s eager to create, innovate and make an impact on the world? Read on… What You’ll Do In The Role Digitizing document which can support structured and unstructured documents. Collaboratively Work with Chapter lead, product owners, scrum masters and testing team to deliver business requirements. Participate in scrum meeting, chapter meeting and fleet meeting Create highly optimized, scalable, redundant, and distributed software Deliver manageable, modular code, along with automated tests Work with geographically dispersed teams (NYC, Alpharetta, Mumbai, and Bangalore). Perform code reviews on server-side code Help release and maintain code as well as address production issues Implementing DevOps tools and practice Writing unit tests using Junit and Mockito What You’ll Bring To The Role At least 5 years’ relevant experience would generally be expected to find the skills required for this role Hand on experience in AI/ML Experience in Python/Java. Experience in OCR technologies. Experience/exposure to LLM and Open Deep Convolutional Neural network Machine learning libraries: TensorFlow, Keras, PyTorch, Hugging Face, PySpark, OpenCV, Scikit-learn, NumPy, Matplotlib, Seaborn, Pandas, SciPy, NLP Libraries such as NLTK, SpaCy, HF Transformers, LightGBM, XGBoost ML Ops Tools: TensorFlow Extended (TFX), PyTorch Serve, MLflow, Kubeflow, Docker, Kubernetes, Apache Airflow, DVC Jupyter Notebooks and VS code Familiarity in OCR technologies Must have experience in Agile and DevOps practices. Strong communication, organizational, and collaboration skills. Demonstrates exceptional analytical and problem-solving skills. Development experience building high volume systems. Experience in working on large and medium scale projects in agile environment. Experience with task management tools such as JIRA. Competency with source control (preferably Git) and Continuous Integration tools such as Jenkins or TeamCity. Good understanding on cloud What You Can Expect From Morgan Stanley We are committed to maintaining the first-class service and high standard of excellence that have defined Morgan Stanley for over 85 years. At our foundation are five core values — putting clients first, doing the right thing, leading with exceptional ideas, committing to diversity and inclusion, and giving back — that guide our more than 80,000 employees in 1,200 offices across 42 countries. At Morgan Stanley, you’ll find trusted colleagues, committed mentors and a culture that values diverse perspectives, individual intellect and cross-collaboration. Our Firm is differentiated by the caliber of our diverse team, while our company culture and commitment to inclusion define our legacy and shape our future, helping to strengthen our business and bring value to clients around the world. Learn more about how we put this commitment to action: morganstanley.com/diversity. We are proud to support our employees and their families at every point along their work-life journey, offering some of the most attractive and comprehensive employee benefits and perks in the industry. Morgan Stanley is an equal opportunities employer. We work to provide a supportive and inclusive environment where all individuals can maximise their full potential. Our skilled and creative workforce is comprised of individuals drawn from a broad cross section of the global communities in which we operate and who reflect a variety of backgrounds, talents, perspectives and experiences. Our strong commitment to a culture of inclusion is evident through our constant focus on recruiting, developing and advancing individuals based on their skills and talents. What You Can Expect From Morgan Stanley We are committed to maintaining the first-class service and high standard of excellence that have defined Morgan Stanley for over 89 years. Our values - putting clients first, doing the right thing, leading with exceptional ideas, committing to diversity and inclusion, and giving back - aren’t just beliefs, they guide the decisions we make every day to do what's best for our clients, communities and more than 80,000 employees in 1,200 offices across 42 countries. At Morgan Stanley, you’ll find an opportunity to work alongside the best and the brightest, in an environment where you are supported and empowered. Our teams are relentless collaborators and creative thinkers, fueled by their diverse backgrounds and experiences. We are proud to support our employees and their families at every point along their work-life journey, offering some of the most attractive and comprehensive employee benefits and perks in the industry. There’s also ample opportunity to move about the business for those who show passion and grit in their work. Morgan Stanley is an equal opportunities employer. We work to provide a supportive and inclusive environment where all individuals can maximize their full potential. Our skilled and creative workforce is comprised of individuals drawn from a broad cross section of the global communities in which we operate and who reflect a variety of backgrounds, talents, perspectives, and experiences. Our strong commitment to a culture of inclusion is evident through our constant focus on recruiting, developing, and advancing individuals based on their skills and talents. Show more Show less

Overall Responsibilities Interact with Business to understand the requirement on a daily evolving need and adapt to the needs. Able to understand the business requirements, tech stack involved and guide the team towards Integral solution approach. Dedicated and committed approach with good communication skills and participation in agile ceremonies. Data Engineer: 6+ years of professional experience as a Software Engineer, with a focus on Python. Extensive Unix/FTP/ File Handling Experience with Agile Methodology/JIRA/Confluence Experience in version control using Git Unit testing Experience using libraries like Pandas, NumPy and MatPlotLib. With experience working with file based systems (supporting csv/parquet/) Create and maintain data processing pipelines. Able to handle all the database storage and retrieval mechanisms on Data Lake Platforms (ex: Dremio) and extensive experience in handling. Hands on Big Data, PySpark libraries Strong Hands-on experience with relational databases, sql Expert experience in Tableau or similar BI tools Hands on experience in ETL systems (extract, transform, load) Show more Show less

Experience: 3+ Years Skills needed : Core Python, LLM, Generative AI ,fast API Job location - Ahmedabad (Work from office) Minimum of (3+) years of experience in AI-based application development. Fine-tune pre-existing models to improve performance and accuracy. Experience with TensorFlow or PyTorch, Scikit-learn, or similar ML frameworks and familiarity with APIs like OpenAI or vertex AI Experience with NLP tools and libraries (e.g., NLTK, SpaCy, GPT, BERT). Implement frameworks like LangChain, Anthropic Constitutional AI, OpenAIs, Hugging Face, and Prompt Engineering techniques to build robust and scalable AI applications. Evaluate and analyze RAG solution and Utilise the best-in-class LLM to define customer experience solutions (Fine tune Large Language models (LLM)). Architect and develop advanced generative AI solutions leveraging state-of-the-art language models (LLMs) such as GPT, Llama, Palm, BLOOM, and others. Strong understanding and experience with open-source multimodal LLM models to customize and create solutions. Explore and implement cutting-edge techniques like Few-Shot Learning, Reinforcement Learning, Multi-Task Learning, and Transfer Learning for AI model training and fine-tuning. Proficiency in data pre-processing, feature engineering, and data visualization using tools like Pandas, NumPy, and Matplotlib. Optimize model performance through experimentation, hyperparameter tuning, and advanced optimization techniques. Proficiency in Python with the ability to get hands-on with coding at a deep level. Develop and maintain APIs using Python's FastAPI, Flask, or Django for integrating AI capabilities into various systems. Ability to write optimized and high-performing scripts on relational databases (e.g., MySQL, PostgreSQL) or non-relational database (e.g., MongoDB or Cassandra) Enthusiasm for continuous learning and professional development in AI and rleated technologies. Collaborate with cross-functional teams to understand business requirements and translate them into technical solutions. Knowledge of cloud services like AWS, Google Cloud, or Azure. Proficiency with version control systems, especially Git. Familiarity with data pre-processing techniques and pipeline development for Al model training. Experience with deploying models using Docker, Kubernetes Experience with AWS Bedrock, and Sagemaker is a plus Strong problem-solving skills with the ability to translate complex business problems into Al solutions. Show more Show less

Implementation of AI/ML algorithms and frameworks Involvement in data collection, profiling, data preparation and curation of data AI Model development, experimentation, tuning validation Propose ML based solution approaches estimates for new use cases Programming: Python, SQL AI domains - NLP, computer vision Learning patterns supervised, unsupervised Knowledge of datasets, pre-built models available in open community and 3rd party providers Minimum Qualifications and Experience: BE/BTech in any engineering discipline with experience in applied AI/ML aspects will be highly desirable Required Expertise: Familiarity with AI/ML frameworks including Numpy, Scikit libraries Other terms: The position is contractual, full time in nature and subject to periodic performance reviews

Position/Title: Trainee - Data Science Location: Hyderabad Department: Dev/Engineering Employment type: Trainee Experience: Fresher-2 years Qualification: Graduate in Data Science, Computer Science, Statistics, or related fields Shifts (if any): 11 am onwards (Candidate should be flexible to work as per business requirement) About Aeries: Aeries Technology is a Nasdaq listed (AERT) global professional services and consulting partner, with offices in the USA, India, Mexico, Singapore, and UAE. We provide Private Equities, its Portfolio Companies and mid-market companies with the right mix of deep vertical specialty, functional expertise, and the right systems & solutions to scale, optimize and transform their business operations with unique customized engagement models. Aeries is Great Place to Work certified by GPTW Institute, reflecting our commitment to fostering a positive and inclusive workplace culture for our employees. Read about us at https://aeriestechnology.com/careers/ Role & responsibilities: Assist in collecting, cleaning, and analysing large data sets Support the development and testing of ML models and data-driven algorithms Generate insights through data visualization and basic statistical analysis Write clean, maintainable Python code for data-related tasks Collaborate with cross-functional teams to understand requirements and deliver results Document findings, code, and processes clearly for internal use Key Skills & Tools: Proficiency in Python and key libraries (NumPy, Pandas, Scikit-learn, Matplotlib, etc.) Understanding of basic statistical concepts and machine learning algorithms Familiarity with SQL and data manipulation Exposure to BI tools (like Power BI or Tableau) is a plus Good problem-solving ability and eagerness to learn Strong communication and collaboration skills Good to have: Certification or coursework in data science and machine learning Previous project work or internship experience in data science (preferred but not mandatory) The Job responsibilities of the candidate shall include but not limited to the Job Description & to perform any other tasks/functions as required by the Company.

We are looking for a skilled Data Analyst with 3 to 6 years of experience to join our team in Bengaluru. The ideal candidate will be responsible for transforming data into actionable insights and supporting decision-making in a global organization focused on pricing and commercial strategy. ### Roles and Responsibility Analyze and interpret structured and unstructured data using statistical and quantitative methods to generate actionable insights and ongoing reports. Design and implement data pipelines and processes for data cleaning, transformation, modeling, and visualization using tools such as Power BI, SQL, and Python. Collaborate with stakeholders to define requirements, prioritize business needs, and translate problems into analytical solutions. Develop, maintain, and enhance scalable analytics solutions and dashboards that support pricing strategy and commercial decision-making. Identify opportunities for process improvement and operational efficiency through data-driven recommendations. Communicate complex findings clearly and concisely to both technical and non-technical audiences. ### Job Requirements Proven experience as a data analyst, business analyst, data engineer, or similar role. Strong analytical skills with the ability to collect, organize, analyze, and present large datasets accurately. Foundational knowledge of statistics, including concepts like distributions, variance, and correlation. Skilled in documenting processes and presenting findings to both technical and non-technical audiences. Hands-on experience with Power BI for designing, developing, and maintaining analytics solutions. Proficient in both Python and SQL, with strong programming and scripting skills. Skilled in using Pandas, T-SQL, and Power Query M for querying, transforming, and cleaning data. Hands-on experience in data modeling for both transactional (OLTP) and analytical (OLAP) database systems. Strong visualization skills using Power BI and Python libraries such as Matplotlib and Seaborn. Experience with defining and designing KPIs and aligning data insights with business goals. A bachelor’s degree in a STEM field relevant to data analysis, data engineering, or data science is required. 3–6 years of experience in data analysis, data engineering, or a closely related field, ideally within a professional services environment. ### Additional Info The company offers a dynamic work environment and opportunities for growth and development.

We are looking for a skilled RCE-Risk Data Engineer-Lead with 8-10 years of relevant experience to join our team. The ideal candidate will have strong technical skills, an eagerness to learn, and a keen interest in Financial Crime, Financial Risk, and Compliance technology transformation. ### Roles and Responsibility Develop, maintain, and optimize backend systems and RESTful APIs using Python and Flask. Design and implement concurrent processing strategies and performance optimization for complex architectures. Write clean, maintainable, and well-documented code. Develop comprehensive test suites to ensure code quality and reliability. Work independently to deliver features and fix issues, with some overlap for real-time collaboration. Integrate backend services with databases and APIs. Collaborate asynchronously with cross-functional team members. Participate in occasional team meetings, code reviews, and planning sessions. ### Job Requirements Minimum 6+ years of professional Python development experience. Strong understanding of Computer Science fundamentals (Data Structures, Algorithms). Experience with Flask and Restful API Development. Knowledge of container technologies (Docker, Kubernetes). Proficiency in implementing interfaces in Python. Familiarity with Python generators for efficient memory management. Good understanding of Pandas, NumPy, and Matplotlib libraries for data analytics and reporting. Understanding of multi-threading and parallelism in Python. Knowledge of Global interpreter lock (GIL) in Python and its implications on multithreading and multiprocessing. Experience with SQL alchemy for database interaction. Knowledge of implementing ETL transformations using Python libraries. Ability to collaborate with cross-functional teams to ensure successful implementation techniques of list compressions in Python.

We are looking for a highly skilled and experienced professional with 3 to 6 years of experience to join our team as an Analyst in the TAX-TAX-Other department, located in Bangalore. The ideal candidate will have a strong background in tax and transaction services. ### Roles and Responsibility Develop complex, consumer-facing desktop and web applications using Excel automation with Python. Utilize Pandas, Numpy, Tkinter, FlaskAPI, SQL, xLwriter, ModinPandas, Sklearn, Pyodbc, Pymongo, and matplotlib/seaborn libraries for data re-engineering, wrangling, and manipulation in Excel. Design window interfaces using tkinter/Pyautogui and automate email processes using Python. Collaborate with cross-functional teams to provide services across multiple client departments while adhering to commercial and legal requirements. Deliver insightful and practical solutions to complex problems with a practical approach. Work on big-data equivalent datasets and leverage machine learning models/training/plotting techniques. ### Job Requirements Minimum 3 years of experience in developing complex, consumer-facing desktop and web applications using Excel automation with Python. Strong knowledge of Pandas, Numpy, Tkinter, FlaskAPI, SQL, xLwriter, ModinPandas, Sklearn, Pyodbc, Pymongo, and matplotlib/seaborn libraries. Experience with Web Scraping and Selenium automation using Python. Ability to work collaboratively to provide services across multiple client departments. Practical approach to solving issues and complex problems. Exposure to Machine Learning Models/Training/Plotting is an added advantage. Qualification: Engineering, MCA, or equivalent.

Company :CBitss Technologies Experience : Minimum 2 years in Data Science Salary : Attractive package Immediate Joiner Required Role Overview: We're seeking a skilled Data Science, AI, and Python Development Trainer to deliver high-quality training sessions, workshops, and courses. The ideal candidate will have a deep understanding of these subjects and excellent communication skills. Key Responsibilities: 1. Conduct interactive training sessions on Data Science, AI, and Python 2. Develop course material aligned with industry standards 3. Mentor students through practical projects and coding challenges 4. Stay updated with latest developments in Data Science, AI, and Python 5. Provide personalized feedback and support to students 6. Collaborate with team to improve training programs Skills & Qualifications: 1. Strong expertise in Python programming (NumPy, Pandas, Scikit-learn, TensorFlow, PyTorch) 2. Hands-on experience with Data Science, Machine Learning, and data analytics 3. Practical knowledge of AI applications and solutions 4. Excellent communication, presentation, and interpersonal skills 5. Experience in creating educational content and hands-on projects 6. Prior teaching or mentoring experience is a plus 7. Resident of Tricity region (Chandigarh, Mohali, Panchkula) Additional Skills: 1. Familiarity with cloud computing platforms (AWS, GCP, Azure) 2. Knowledge of data visualization tools (Matplotlib, Seaborn, Plotly) 3. Experience with SQL and data manipulation Why Join Us?: 1. Innovative, technology-driven team 2. Opportunity to work with cutting-edge tools and technologies 3. Competitive compensation 4. Contribute to shaping the future of data science and AI professionals How to Apply: Send your updated resume and brief cover letter highlighting your relevant experience to CBitss Technologies. #DataScienceJobs #DataScienceTrainer #DataScientist #AIJobs #MachineLearningJobs #PythonTrainer #DataAnalyticsJobs #DataScienceCareers #JobOpening #HiringNow #DataScienceTraining #ArtificialIntelligenceJobs #TechJobs #CareerOpportunity #DataScienceRecruitment Job Types: Full-time, Permanent Pay: ₹25,000.00 - ₹50,544.60 per month Benefits: Cell phone reimbursement Flexible schedule Health insurance Internet reimbursement Leave encashment Paid sick time Provident Fund Schedule: Day shift Morning shift Supplemental Pay: Overtime pay Performance bonus Ability to commute/relocate: Chandigarh, Chandigarh: Reliably commute or planning to relocate before starting work (Required) Experience: Data science: 2 years (Required) Location: Chandigarh, Chandigarh (Required) Work Location: In person

As an expectation a fitting candidate must have/be: Ability to analyze business problem and cut through the data challenges. Ability to churn the raw corpus and develop a data/ML model to provide business analytics (not just EDA), machine learning based document processing and information retrieval Quick to develop the POCs and transform it to high scale production ready code. Experience in extracting data through complex unstructured documents using NLP based technologies. Good to have : Document analysis using Image processing/computer vision and geometric deep learning Technology Stack: Python as a primary programming language. Conceptual understanding of classic ML/DL Algorithms like Regression, Support Vectors, Decision tree, Clustering, Random Forest, CART, Ensemble, Neural Networks, CNN, RNN, LSTM etc. Programming: Must Have: Must be hands-on with data structures using List, tuple, dictionary, collections, iterators, Pandas, NumPy and Object-oriented programming Good to have: Design patterns/System design, cython ML libraries : Must Have: Scikit-learn, XGBoost, imblearn, SciPy, Gensim Good to have: matplotlib/plotly, Lime/sharp Data extraction and handling: Must Have: DASK/Modin, beautifulsoup/scrappy, Multiprocessing Good to have: Data Augmentation, Pyspark, Accelerate NLP/Text analytics: Must Have: Bag of words, text ranking algorithm, Word2vec, language model, entity recognition, CRF/HMM, topic modelling, Sequence to Sequence Good to have: Machine comprehension, translation, elastic search Deep learning: Must Have: TensorFlow/PyTorch, Neural nets, Sequential models, CNN, LSTM/GRU/RNN, Attention, Transformers, Residual Networks Good to have: Knowledge of optimization, Distributed training/computing, Language models Software peripherals: Must Have: REST services, SQL/NoSQL, UNIX, Code versioning Good to have: Docker containers, data versioning Research: Must Have: Well verse with latest trends in ML and DL area. Zeal to research and implement cutting areas in AI segment to solve complex problems Good to have: Contributed to research papers/patents and it is published on internet in ML and DL Morningstar is an equal opportunity employer. Morningstar’s hybrid work environment gives you the opportunity to work remotely and collaborate in-person each week. We’ve found that we’re at our best when we’re purposely together on a regular basis, at least three days each week. A range of other benefits are also available to enhance flexibility as needs change. No matter where you are, you’ll have tools and resources to engage meaningfully with your global colleagues. I10_MstarIndiaPvtLtd Morningstar India Private Ltd. (Delhi) Legal Entity

Designation : Jr./Sr. Data Scientist We are seeking a Jr./Sr. Data Scientist with strong expertise in data analysis, machine learning, and visualization. The ideal candidate should be proficient in Python, Pandas, and Matplotlib, with experience in building and optimizing data-driven models. Some experience in Natural Language Processing (NLP) and Named Entity Recognition (NER) models would be a plus. Exp : 3-8 yrs Location : Mohali Requirements: Analyze and process large datasets using Python and Pandas. Develop and optimize machine learning models for predictive analytics. Create data visualizations using Matplotlib and Seaborn to support decision-making. Perform data cleaning, feature engineering, and statistical analysis. Work with structured and unstructured data to extract meaningful insights. Implement and fine-tune NER models for specific use cases (if required). Collaborate with cross-functional teams to drive data-driven solutions. Required Skills & Qualifications: Strong proficiency in Python and data science libraries (Pandas, NumPy, Scikit-learn, etc.). Experience in data analysis, statistical modeling, and machine learning. Hands-on expertise in data visualization using Matplotlib and Seaborn. Understanding of SQL and database querying. Familiarity with NLP techniques and NER models is a plus. Strong problem-solving and analytical skills. Interested candidates can share their updated cv here at manpreet.kaur(at)chicmicstudios.in or whatsapp me at 9875952835 Job Type: Full-time Benefits: Leave encashment Paid sick time Paid time off Provident Fund Schedule: Day shift Education: Bachelor's (Preferred) Experience: total: 3 years (Preferred) Work Location: In person

Data Science and AI Developer **Job Description:** We are seeking a highly skilled and motivated Data Science and AI Developer to join our dynamic team. As a Data Science and AI Developer, you will be responsible for leveraging cutting-edge technologies to develop innovative solutions that drive business insights and enhance decision-making processes. No salary will be provided during the 3-month probation period. **Key Responsibilities:** 1. Develop and deploy machine learning models for predictive analytics, classification, clustering, and anomaly detection. 2. Design and implement algorithms for data mining, pattern recognition, and natural language processing. 3. Collaborate with cross-functional teams to understand business requirements and translate them into technical solutions. 4. Utilize advanced statistical techniques to analyze complex datasets and extract actionable insights. 5. Implement scalable data pipelines for data ingestion, preprocessing, feature engineering, and model training. 6. Stay updated with the latest advancements in data science, machine learning, and artificial intelligence research. 7. Optimize model performance and scalability through experimentation and iteration. 8. Communicate findings and results to stakeholders through reports, presentations, and visualizations. 9. Ensure compliance with data privacy regulations and best practices in data handling and security. 10. Mentor junior team members and provide technical guidance and support. **Requirements:** 1. Bachelor’s or Master’s degree in Computer Science, Data Science, Statistics, or a related field. 2. Proven experience in developing and deploying machine learning models in production environments. 3. Proficiency in programming languages such as Python, R, or Scala, with strong software engineering skills. 4. Hands-on experience with machine learning libraries/frameworks such as TensorFlow, PyTorch, Scikit-learn, or Spark MLlib. 5. Solid understanding of data structures, algorithms, and computer science fundamentals. 6. Excellent problem-solving skills and the ability to think creatively to overcome challenges. 7. Strong communication and interpersonal skills, with the ability to work effectively in a collaborative team environment. 8. Certification in Data Science, Machine Learning, or Artificial Intelligence (e.g., Coursera, edX, Udacity, etc.). 9. Experience with cloud platforms such as AWS, Azure, or Google Cloud is a plus. 10. Familiarity with big data technologies (e.g., Hadoop, Spark, Kafka) is an advantage. Data Manipulation and Analysis : NumPy, Pandas Data Visualization : Matplotlib, Seaborn, Power BI Machine Learning Libraries : Scikit-learn, TensorFlow, Keras Statistical Analysis : SciPy Web Scrapping : Scrapy IDE : PyCharm, Google Colab HTML/CSS/JavaScript/React JS Proficiency in these core web development technologies is a must. Python Django Expertise: In-depth knowledge of e-commerce functionalities or deep Python Django knowledge. Theming: Proven experience in designing and implementing custom themes for Python websites. Responsive Design: Strong understanding of responsive design principles and the ability to create visually appealing and user-friendly interfaces for various devices. Problem Solving: Excellent problem-solving skills with the ability to troubleshoot and resolve issues independently. Collaboration: Ability to work closely with cross-functional teams, including marketing and design, to bring creative visions to life. interns must know about how to connect front end with datascience Also must Know to connect datascience to frontend **Benefits:** - Competitive salary package - Flexible working hours - Opportunities for career growth and professional development - Dynamic and innovative work environment Job Type: Full-time Pay: ₹8,000.00 - ₹12,000.00 per month Schedule: Day shift Ability to commute/relocate: Thiruvananthapuram, Kerala: Reliably commute or planning to relocate before starting work (Preferred) Work Location: In person