1583 Pandas Jobs - Page 26

About The Role Project Role : Application Designer Project Role Description : Assist in defining requirements and designing applications to meet business process and application requirements. Must have skills : Machine Learning Good to have skills : NAMinimum 5 year(s) of experience is required Educational Qualification : 15 years full time education Summary :As an Application Designer, you will assist in defining requirements and designing applications to meet business process and application requirements. A typical day involves collaborating with various stakeholders to gather insights, analyzing user needs, and translating them into functional specifications. You will engage in discussions to refine application designs, ensuring they align with business objectives while also considering user experience and technical feasibility. Your role will require you to balance creativity with analytical thinking, as you work to create solutions that are both innovative and practical. Roles & Responsibilities:- Expected to be an SME.- Collaborate and manage the team to perform.- Responsible for team decisions.- Engage with multiple teams and contribute on key decisions.- Provide solutions to problems for their immediate team and across multiple teams.- Facilitate knowledge sharing sessions to enhance team capabilities.- Monitor project progress and ensure alignment with business goals. Professional & Technical Skills: - Must To Have Skills: Proficiency in Machine Learning.- Strong understanding of various machine learning algorithms and their applications.- Experience with data preprocessing and feature engineering techniques.- Familiarity with programming languages such as Python or R for model development.- Ability to work with data visualization tools to present findings effectively. Additional Information:- The candidate should have minimum 5 years of experience in Machine Learning.- This position is based at our Chennai office.- A 15 years full time education is required. Qualification 15 years full time education

Your work will span across multiple areas, including predictive modelling, automation and process optimization. We use AI to discover patterns, classify information, and predict likelihoods. Our team works on building, refining, testing, and deploying these models to support various business use cases, ultimately driving business value and innovation. As a Data Scientist on our team, you can expect to work on challenging projects, collaborate with stakeholders to identify business problems, and have the opportunity to learn and grow with our team. A typical day may involve working on model development, meeting with stakeholders to discuss project requirements/updates, and brainstorming/debugging with colleagues on various technical aspects. At the Lab, we're passionate about staying at the forefront of AI research, bridging the gap between research industry to drive innovation and to make a real impact on our businesses. Responsibilities 1. Develop and maintain AI models from inception to deployment, including data collection, analysis, feature engineering, model development, evaluation, and monitoring. 2. Identify areas for model improvement through independent research and analysis, and develop recommendations for updates and enhancements. 3. Working with expert colleagues and business representatives to examine the results and keep models grounded in reality. 4. Documenting each step of the development and informing decision makers by presenting them options and results. 5. Ensure the integrity and security of data. 6. Provide support for production models delivered by the Mumbai team but potentially as well for other models to any of the Asian/EU/US time zones. Technical Behavioral Competencies 1. Qualifications: Bachelors / Master / PhD degree in Computer Science / Data Science / Mathematics / Statistics / relevant STEM field. 2. Knowledge of key concepts in Statistics and Mathematics such as Statistical methods for Machine learning, Probability Theory and Linear Algebra. 3. Experience with Machine Learning Deep Learning concepts including data representations, neural network architectures, custom loss functions. 4. Proven track record of building AI model from scratch or finetuning on large models for Tabular or/and Textual data. 5. Programming skills in Python and knowledge of common numerical and machine-learning packages (like NumPy, scikit-learn, pandas, PyTorch, transformers, langchain). 6. Ability to write clear and concise code in python. 7. Intellectually curious and willing to learn challenging concepts daily. 8. Knowledge of current Machine Learning/Artificial Intelligence literature. Skills Referential Behavioural Skills : Ability to collaborate / Teamwork Critical thinking Communication skills - oral written Attention to detail / rigor Transversal Skills: Analytical Ability Education Level: Bachelor Degree or equivalent

About The Role Project Role : AI / ML Engineer Project Role Description : Develops applications and systems that utilize AI tools, Cloud AI services, with proper cloud or on-prem application pipeline with production ready quality. Be able to apply GenAI models as part of the solution. Could also include but not limited to deep learning, neural networks, chatbots, image processing. Must have skills : Machine Learning Good to have skills : NAMinimum 15 year(s) of experience is required Educational Qualification : 15 years full time education Summary :As an AI / ML Engineer, you will engage in the development of applications and systems that leverage artificial intelligence tools and cloud AI services. Your typical day will involve designing and implementing production-ready solutions, ensuring that they meet quality standards. You will work with various AI models, including generative AI, deep learning, and neural networks, while also exploring innovative applications such as chatbots and image processing. Collaboration with cross-functional teams will be essential as you contribute to the overall success of projects and drive advancements in AI technology. Roles & Responsibilities:- Expected to be a Subject Matter Expert with deep knowledge and experience.- Should have influencing and advisory skills.- Responsible for team decisions.- Engage with multiple teams and contribute on key decisions.- Expected to provide solutions to problems that apply across multiple teams.- Mentor junior professionals and assist in their development.- Continuously evaluate and improve existing AI models and systems. Professional & Technical Skills: - Must To Have Skills: Proficiency in Machine Learning.- Strong understanding of various machine learning algorithms and their applications.- Experience with cloud-based AI services and deployment strategies.- Familiarity with data preprocessing and feature engineering techniques.- Ability to work with frameworks such as TensorFlow or PyTorch. Additional Information:- The candidate should have minimum 15 years of experience in Machine Learning.- This position is based at our Bengaluru office.- A 15 years full time education is required. Qualification 15 years full time education

The Python Developer will play a critical role in building and maintaining financial applications and tools that support data processing, analysis, and reporting within a fast-paced financial services environment. This position involves developing scalable and secure systems. The developer will collaborate with business analysts, finance users/or finance BA to translate complex business requirements into efficient, high-quality software solutions. A strong understanding of financial concepts, data integrity, and regulatory compliance is essential. The detailed responsibilities are mentioned below. Responsibilities Direct Responsibilities - Proficient in object-oriented programming, especially Python, with a minimum of 6-8 years of core python development experience. - Strong competency with Python libraries such as Pandas and NumPy for data wrangling, analysis, and manipulation. - Expertise in PySpark for large-scale data processing and loading into databases. - Proficiency in data querying and manipulation with Oracle and PostgreSQL. - Strong communication skills to effectively collaborate with team members and stakeholders. - Familiarity with the Software Development Life Cycle (SDLC) process and its various stages, including experience with JIRA and Confluence. Technical & Behavioral Competencies - Proficient in object-oriented programming, especially Python, with a minimum of 6-8 years of core python development experience. - Strong competency with Python libraries such as Pandas and NumPy for data wrangling, analysis, and manipulation. - Expertise in PySpark for large-scale data processing and loading into databases. - Proficiency in data querying and manipulation with Oracle and PostgreSQL. - Strong communication skills to effectively collaborate with team members and stakeholders. - Familiarity with the Software Development Life Cycle (SDLC) process and its various stages, including experience with JIRA and Confluence. - Good analytical, problem solving, & communication skills - Engage in technical discussions and to help in improving the system, process etc Nice to Have - Familiarity with Plotly and Matplotlib for data visualization of large datasets. - Skilled in API programming, handling JSON, CSV, and other unstructured data from various systems. - Familiarity with JavaScript, CSS, and HTML. - Experience with cloud architecture applications such as Dataiku or Databricks; competency with ETL tools. - Knowledge of regulatory frameworks, RISK, CCAR, and GDPR. Specific Qualifications (if required) Skills Referential Behavioural Skills : (Please select up to 4 skills) Ability to collaborate / Teamwork Critical thinking Ability to deliver / Results driven Communication skills - oral & written Transversal Skills: Analytical Ability Ability to develop and adapt a process Ability to understand, explain and support change Ability to develop others & improve their skills Choose an item. Education Level: Bachelor Degree or equivalent Experience Level At least 5 years

The person will be a key member of the Market Abuse IT team that is tasked to deliver multiple complex projects in the Trade Surveillance area. This role is within the Conduct, Control and Surveillance IT team. The team utilizes SONATA 2.0 infrastructure and technology to develop enhance & maintain Compliance Surveillance Models for BNP Paribas. The candidate will collaborate with the Compliance & Financial Security teams and be a go to for technical execution of the product. The candidate is responsible to partner with all the functional and project leads in designing the solution and taking ownership of the execution and delivery. The candidate will recommend alternative solutions, design, integrate, and implement the right enterprise solutions for Compliance. Responsibilities Direct Responsibilities Work independently in application development / support / enhancements / bug-fixing. Utilize understanding of design principles in creating custom software solutions or modifying packages solutions Be a part of IT team to develop and contribute to initiatives that transform and modernize the capabilities and services of the Compliance and Trade Compliance function. Work with Compliance to identify appropriate models to cover various scenarios and validate existing setup. Ensure adherence to Bank and information systems policies and procedures, security measures and audit standards. Mentor junior team members on the technology & processes front. Share knowledge and skills with others within the team from time to time. Prepare high quality test plans and conduct the tests at Unit, Regression, Integration, Code reviews. Ensuring that the project and organization standards are followed during various phases of software development life cycle and day to day development work. Contributing Responsibilities Contribute towards knowledge sharing initiatives and upskilling of other team members. Contribute to development/Writing of Technical Specifications document, Test plan, and Test Cases Technical & Behavioral Competencies Excellent Knowledge & Understanding of Python, Pandas and Oracle, SQL, PL/SQL. Good Knowledge & Understanding of data modelling. Flair for learning new tools & technology. 4-6 years of experience in Banking IT, with a good understanding of the Corporate and Institutional Banking activity. Knowledge of Capital Markets an asset. Good knowledge and understanding of Windows Batch or PowerShell scripting. Good knowledge in systems, application frameworks, database optimization, and experience being responsible for the success of software development projects. Proven record interpreting and fulfilling requirements by developing high performing, scalable and maintainable solutions with multiple technologies. Hands-on experience with SDLC methodologies and best practices including Waterfall Process, Agile methodologies, deployment automation, code reviews, and test-driven development. Strong coordination and organizational skills Excellent communication skills and multi-tasking capabilities. Being aware of new technologies and frameworks. Experience and knowledge of Python language features like basic data types, functions with keywords args, default args, variable length args. Experience in using Python database API with any relational database like Oracle/SQL Server using pure Python or native database driver. Experience in using built in collection types [for example: sequence types, dict, sets]. Experience in using text manipulation facilities like regex, string methods from the standard library. Experience in reading and manipulating various file types like XML [using standard module like Element Tree], JSON, CSV. Experience in using file and directory manipulation modules like paths, globs from the standard library. Knowledge of widely used libraries in data science like NumPy, Pandas is a must. Visualization is a good to have but not on the mandatory path. Knowledge and Experience in using collections from the collections module will be good to have though not mandatory. Familiarity with using context managers. Familiarity with date manipulation using modules like datetime. Knowledge of Generators will be good to have though not mandatory. Familiarity with Object Oriented Python and magic methods. Specific Qualifications (if required) Skills Referential Behavioral Skills : Ability to collaborate / Teamwork Decision Making Ability to share / pass on knowledge Creativity & Innovation / Problem solving Transversal Skills: Ability to understand, explain and support change Ability to anticipate business / strategic evolution Ability to set up relevant performance indicators Analytical Ability Ability to develop and adapt a process Education Level: Bachelor Degree or equivalent Experience Level At least 5 years

Your work will span across multiple areas, including predictive modelling, automation and process optimization. We use AI to discover patterns, classify information, and predict likelihoods. Our team works on building, refining, testing, and deploying these models to support various business use cases, ultimately driving business value and innovation. As a Data Scientist on our team, you can expect to work on challenging projects, collaborate with stakeholders to identify business problems, and have the opportunity to learn and grow with our team. A typical day may involve working on model development, meeting with stakeholders to discuss project requirements/updates, and brainstorming/debugging with colleagues on various technical aspects. At the Lab, we're passionate about staying at the forefront of AI research, bridging the gap between research & industry to drive innovation and to make a real impact on our businesses. Responsibilities 1. Develop and maintain AI models from inception to deployment, including data collection, analysis, feature engineering, model development, evaluation, and monitoring. 2. Identify areas for model improvement through independent research and analysis, and develop recommendations for updates and enhancements. 3. Working with expert colleagues and business representatives to examine the results and keep models grounded in reality. 4. Documenting each step of the development and informing decision makers by presenting them options and results. 5. Ensure the integrity and security of data. 6. Provide support for production models delivered by the Mumbai team but potentially as well for other models to any of the Asian/EU/US time zones. Technical & Behavioral Competencies 1. Qualifications: Bachelors / Master / PhD degree in Computer Science / Data Science / Mathematics / Statistics / relevant STEM field. 2. Knowledge of key concepts in Statistics and Mathematics such as Statistical methods for Machine learning, Probability Theory and Linear Algebra. 3. Experience with Machine Learning & Deep Learning concepts including data representations, neural network architectures, custom loss functions. 4. Proven track record of building AI model from scratch or finetuning on large models for Tabular or/and Textual data. 5. Programming skills in Python and knowledge of common numerical and machine-learning packages (like NumPy, scikit-learn, pandas, PyTorch, transformers, langchain). 6. Ability to write clear and concise code in python. 7. Intellectually curious and willing to learn challenging concepts daily. 8. Knowledge of current Machine Learning/Artificial Intelligence literature. Skills Referential Behavioural Skills : Ability to collaborate / Teamwork Critical thinking Communication skills - oral & written Attention to detail / rigor Transversal Skills: Analytical Ability Education Level: Bachelor Degree or equivalent

About The Role Project Role : AI / ML Engineer Project Role Description : Develops applications and systems that utilize AI tools, Cloud AI services, with proper cloud or on-prem application pipeline with production ready quality. Be able to apply GenAI models as part of the solution. Could also include but not limited to deep learning, neural networks, chatbots, image processing. Must have skills : Large Language Models Good to have skills : NAMinimum 3 year(s) of experience is required Educational Qualification : 15 years full time education Summary :As an AI / ML Engineer, you will engage in the development of applications and systems that leverage artificial intelligence tools and cloud AI services. Your typical day will involve collaborating with cross-functional teams to design and implement production-ready solutions, ensuring that the applications meet high-quality standards. You will also explore the integration of generative AI models into various projects, contributing to innovative solutions that enhance user experiences and operational efficiency. Your role will require a blend of technical expertise and creative problem-solving to address complex challenges in the field of artificial intelligence and machine learning. Roles & Responsibilities:- Expected to perform independently and become an SME.- Required active participation/contribution in team discussions.- Contribute in providing solutions to work related problems.- Collaborate with team members to design and implement AI-driven applications.- Analyze project requirements and develop appropriate AI models to meet those needs. Professional & Technical Skills: - Must To Have Skills: Proficiency in Large Language Models.- Strong understanding of deep learning frameworks such as TensorFlow or PyTorch.- Experience with cloud platforms and services for deploying AI applications.- Familiarity with data preprocessing and feature engineering techniques.- Knowledge of software development best practices and version control systems. Additional Information:- The candidate should have minimum 3 years of experience in Large Language Models.- This position is based at our Hyderabad office.- A 15 years full time education is required. Qualification 15 years full time education

API Integrations: Design, implement, and maintain REST and WebSocket clients to ingest real-time market data Data Pipelines: Build and optimize ETL processes using Pandas and NumPy for downstream analytics AmiBroker Coding: Write, debug, and optimize Required Candidate profile Python Proficiency: 1–3 years of professional experience API Expertise: Hands-on with REST and WebSocket integration patterns Data Tools: Solid experience with Pandas and NumPy Database Skills

Location: Bangalore Duration: 3 months About the Role: We are looking for a passionate and motivated AI/ML Intern to join our team. In this role, you will work closely with our Data Science and Engineering teams to develop, train, and deploy machine learning models that solve real-world problems. This is a hands-on opportunity to gain experience with cutting-edge technologies—including Generative AI, Large Language Models (LLMs), AI Agents, and Retrieval-Augmented Generation (RAG)—and contribute to impactful projects across domains. Roles and Responsibilities Key Responsibilities: Assist in collecting, cleaning, and preprocessing structured and unstructured data for ML models Build and experiment with machine learning models for classification, regression, clustering, or NLP tasks Perform exploratory data analysis and visualize insights Support the deployment and evaluation of models in a production or simulated environment Collaborate with cross-functional teams including data engineers and software developers Document experiments, results, and workflows Stay updated with the latest trends and research in AI/ML, including LLMs, Generative AI, AI Agents, and retrieval-based techniques Explore the application of LLMs (e.g., GPT, Claude, LLaMA) in areas such as summarization, question answering, and content generation Contribute to prototyping and evaluation of Retrieval-Augmented Generation (RAG) pipelines using tools like LangChain or LlamaIndex Support prompt engineering, chaining, and evaluation of agent-based systems for specific business tasks. Roles & Responsibilities Preferred Skills & Qualifications: Pursued a degree in Computer Science, Data Science, AI/ML, or related field Strong foundation in Python and libraries such as NumPy, Pandas, Scikit-learn, TensorFlow or PyTorch Basic understanding of GenAI API usage concepts (e.g., OpenAI, Anthropic, Hugging Face). Familiarity with LLM frameworks such as LangChain or LlamaIndex is a plus. Understanding of foundational ML concepts including supervised/unsupervised learning, embeddings, and transfer learning. Familiarity with vector databases like FAISS, Pinecone, or ChromaDB is an advantage Familiarity with SQL and data visualization tools (e.g., Matplotlib, Seaborn, Plotly) Knowledge of NLP or deep learning is a plus Excellent problem-solving and communication skills Eagerness to learn, experiment, and work independently as well as in collaborative teams

1.Develop and maintain service that extracts websites data using scrapers and APIs 2.Extract structured / unstructured data 3.Manipulate data through text processing, image processing, regular expressions etc. . Free meal Health insurance Accidental insurance Provident fund

As a Senior Full-stack Developer at BigThinkCode Technologies in Chennai, you will play a crucial role in leading the development of our core product, a data integration platform connecting multiple third-party data sources. Your responsibilities will include: Taking full ownership of the product development lifecycle, from concept to deployment and post-deployment support. Leading the design and development of robust, scalable, and maintainable full-stack web applications using Python and ReactJS. Building and maintaining efficient data processing pipelines and transformations utilizing Python libraries like Pandas. Developing and managing microservices architectures to ensure high performance, scalability, and reliability. Collaborating closely with cross-functional teams to align development with business goals and user requirements. Mentoring and guiding junior engineers to foster a culture of continuous learning and improvement. Troubleshooting and resolving technical issues to maintain platform stability and performance. Staying updated with emerging technologies and industry trends for continuous product and process improvement. Requirements: - Proficient in Python, ReactJS, HTML, CSS, Javascript, and AWS. - Over 5 years of experience in full-stack development, with a focus on backend development using Python. - Strong expertise in front-end technologies including ReactJS, HTML, CSS, and JavaScript. - Proven track record in building and deploying microservices within cloud environments (e.g., AWS, Azure, Google Cloud). - Solid understanding of software development principles, design patterns, and best practices. - Experience in leading development teams and owning product architecture and delivery. - Familiarity with relational databases (e.g., PostgreSQL, MySQL) and NoSQL databases (e.g., MongoDB). - Proficiency in version control systems (e.g., Git) and CI/CD pipelines. - Excellent communication skills and a proactive problem-solving approach. Nice To Have: - Experience in data integration, ETL pipelines, or data warehousing solutions. - Familiarity with data processing libraries like Pandas, NumPy, and similar tools. - Knowledge of containerization and orchestration tools such as Docker and Kubernetes. - Exposure to Agile development environments. - Understanding of cloud-based data storage and analytics platforms. Stay ahead in the tech space and contribute significantly to the growth of BigThinkCode Technologies.,

Looking for a highly motivated and self-driven AI Experienced Leader to head the AI and Gen AI practice and solution with the objective of designing and implementing AI and Gen AI based solutions for customers" business problems. As an AI Solution Consultant, you will be responsible for understanding customer needs and proposing AI and Gen AI empowered practical in-depth solutions for solving business problems. Additionally, as an AI Practice Head, you will be required to research industry evolution in AI and Gen AI areas to identify practical differentiating solutions for solving business problems through AI and Gen AI. In the role of AI Solution Architect, you will define the architecture, design the solutions, and implement AI and Gen AI based solutions for customer programs. You will also be expected to inspire, mentor, and build a strong Data Scientist practice & delivery team to execute complex AI and Gen AI programs for various customers. Conducting architecture reviews, design workshops, and code reviews in collaboration with AI Data Scientists and Cloud Engineers will be part of your responsibilities. Furthermore, applying statistics, modeling, and machine learning to enhance the efficiency of systems and relevance algorithms across our business application products. Requirements: - Bachelor's degree or Master's degree in Computer Science / AIML / Data Sciences - 10+ years of overall experience with hands-on experience in designing and implementing Machine Learning models, Deep Learning models for solving business problems - Expertise in R, Python (NumPy, Scikit-learn + Pandas), TensorFlow, PyTorch or MLlib and LLM solutions - Excellent problem-solving and analytical skills with the ability to translate business requirements into data science solutions - Good experience in building complex and scalable Machine Learning solutions and practically using them in production - Experience with scripting in SQL for extracting large datasets and designing ETL flows - Deep interest and aptitude in data, metrics, analysis, trends, and applied knowledge of measurement, statistics, and program evaluation - Capability of translating analysis results into business recommendations - Effective communication skills, with the ability to convey complex technical concepts to both technical and non-technical stakeholders.,

Enphase Energy is a global energy technology company and a leading provider of solar, battery, and electric vehicle charging products. Founded in 2006, Enphase has been instrumental in transforming the solar industry with its revolutionary microinverter technology. The company's mission is to harness sunlight as a safe, reliable, resilient, and scalable source of energy to power everyday lives. At present, the Enphase Energy System empowers individuals to generate, utilize, save, and even sell their own power. With a strong global presence, Enphase has installed approximately 68 million products in over 145 countries. The work environment at Enphase is characterized by a fast-paced, fun, and innovative atmosphere where teams are dedicated to designing, developing, and manufacturing next-generation energy technologies. If you are enthusiastic about contributing to a more sustainable future, this is an excellent opportunity to become part of the Enphase team. We are currently looking for a dynamic Senior Pricing Analyst to join our team. The ideal candidate should possess 3-5 years of experience in pricing analysis, along with a solid educational background and proficiency in Excel, Power BI, and Power Query. In this role, your primary responsibilities will involve conducting detailed pricing analysis, extracting valuable insights from pricing data, and offering strategic recommendations to enhance our pricing strategies. Key Responsibilities: Pricing Analysis: - Conduct thorough analysis of pricing data to identify trends, patterns, and optimization opportunities. - Develop and maintain pricing models to support strategic decision-making. - Monitor competitor pricing strategies and market trends to guide pricing adjustments. - Provide recommendations for pricing adjustments based on analysis of cost structures, market dynamics, and customer behavior. Reporting and Visualization: - Maintain and build pricing metrics, and develop models and dashboards for data organization and visualization. - Manage list prices in various platforms such as Excel, SQL, Incorta, Salesforce, Oracle, and Anaplan. - Utilize tools like Excel, Power BI, and Power Query to create visually appealing reports and dashboards. - Identify and implement process improvements to enhance data collection and analysis. Ad-hoc Projects and Automation: - Participate in diverse analysis projects and automate data analysis using tools like Python, R, or Power Query. Data Analysis and Modelling: - Utilize advanced analytics tools such as Python, Pandas, and NumPy for complex data analysis and modeling. - Develop predictive pricing models to forecast demand, evaluate pricing scenarios, and support strategic decision-making. Cross-Functional Collaboration: - Collaborate with sales, marketing, finance, and product teams to present data and align key performance indicators (KPIs). Qualifications and Skills: - Bachelor's degree in business administration, Finance, Economics, or a related field; MBA preferred. - 2-5 years of experience in pricing analysis with focus on B2B, services, and B2C pricing. - Proficiency in Excel, Power BI, Power Query, Python, Pandas, and NumPy. - Strong analytical and problem-solving skills with attention to detail. - Excellent executive presentation skills for conveying complex concepts through storytelling in PowerPoint. - Ability to thrive in a fast-paced, dynamic environment and manage multiple priorities effectively. - Strong business acumen and understanding of pricing strategies in the B2B context. Join our team and take the lead in developing and implementing pricing strategies that foster business growth and profitability. If you are passionate about pricing, possess strong leadership skills, and excel in storytelling, we are eager to hear from you!,

JSJ Card is the world's first purpose-driven universal card designed for independent general users, retailers, and businesses. Members can use the card for various benefits, including creating a secure profile data room for recruiters, managing loyalty programs, and enhancing customer engagement without needing special hardware or software. JSJ Card partners with small and independent retailers to boost customer loyalty and sales, creating a seamless experience for both retailers and customers. Additionally, our HR portal helps recruiters hire skilled candidates and manage employee benefits in one place. We are looking for a Data Science Intern who is passionate about data and eager to gain hands-on experience in data analytics, machine learning, and data-driven decision-making. As an intern, you will work closely with our data science team on various projects, helping to analyze data and build models. Key Responsibilities: - Assist in collecting, cleaning, and preprocessing data from various sources. - Perform exploratory data analysis to uncover trends and patterns. - Support the team in building and training machine learning models. - Help create data visualizations and reports to communicate insights. - Collaborate with team members on various data science projects. - Participate in brainstorming sessions and contribute ideas for solving data-related problems. Requirements: - Currently pursuing or recently completed a degree in Data Science, Computer Science, Statistics, Mathematics, or a related field. - Understanding of machine learning algorithms is an advantage. - Strong analytical and problem-solving skills. - Basic understanding of data science concepts and techniques. - Familiarity with programming languages such as Python or R. - Knowledge of data manipulation and analysis libraries (e.g., Pandas, NumPy). - Strong communication and collaboration skills. - Ability to manage multiple projects and meet deadlines. Benefits: - Real-world experience in data science projects. - Mentorship from experienced professionals in the field. - Opportunity to learn and develop valuable skills in data science. - A chance to be part of a dynamic and collaborative team. Job Types: Part-time, Internship Schedule: Day shift Performance bonus Education: Bachelor's (Preferred) Experience: total work: 1 year (Preferred), Design: 1 year (Preferred) Work Location: In person,

Key Responsibilities Extract and analyze data from company databases to drive the optimization and enhancement of product development and marketing strategies. Analyze large datasets to uncover trends, patterns, and insights that can influence business decisions. Leverage predictive and AI/ML modeling techniques to enhance and optimize customer experience, boost revenue generation, improve ad targeting, and more. Design, implement, and optimize machine learning models for a wide range of applications such as predictive analytics, natural language processing, recommendation systems, and more. Conduct experiments to fine-tune machine learning models and evaluate their performance using appropriate metrics. Deploy machine learning models into production environments, ensuring scalability Qualifications Bachelor's, Master's or Ph.D in Computer Science, Data Science, Mathematics, Statistics, or a related field. 2+ years of experience in Analytics, Machine learning, Deep learning. Proficiency in programming languages such as Python, and familiarity with machine learning libraries (e.g., Numpy, Pandas, TensorFlow, Keras, PyTorch, Scikit-learn). Strong experience with data wrangling, cleaning, and transforming raw data into structured, usable formats. Hands-on experience in developing, training, and deploying machine learning models for various applications (e.g., predictive analytics, recommendation systems, anomaly detection). In-depth understanding of machine learning algorithms (supervised, unsupervised, reinforcement learning) and their appropriate use cases. Experience with model evaluation techniques (e.g., cross-validation, A/B testing, performance metrics). Experience with cloud platforms (AWS, GCP, Azure) for model deployment and scalal Proficiency in data processing and manipulation techniques. Excellent problem-solving skills and the ability to work effectively in a collabor environment. Strong communication skills to convey complex technical concepts to non-tech stakeholders. Good To Have Experience in the [banking/financial services/industry-specific] sector. Familiarity with cloud-based machine learning platforms such as Azure, AWS, or GCP. Skills: recommendation systems,pytorch,cloud,anomaly detection,numpy,python,data cleaning,deep learning,predictive analytics,a/b testing,machine learning,pandas,tensorflow,scikit-learn,data wrangling,cloud platforms (aws, gcp, azure),model evaluation techniques,cross-validation,keras,machine learning models,

As a Python Developer specializing in AI and ML, you will play a crucial role in our team located in Guindy, Chennai. Your primary responsibility will be to create Python-based AI/ML models, establish scalable pipelines, and implement intelligent systems to tackle intricate real-world challenges. Your duties will include designing and executing AI/ML models in Python utilizing libraries like TensorFlow, PyTorch, Scikit-learn, or Keras. Additionally, you will fine-tune pre-trained models, write well-documented Python code, and handle large datasets efficiently using tools like Pandas, NumPy, and PySpark. Furthermore, you will be tasked with developing data pipelines, building Python-based APIs for model integration, deploying models with tools like Docker, and optimizing model efficiency using Python techniques. It is essential to stay updated on Python advancements and collaborate with various stakeholders to deliver Python-driven solutions effectively. To be successful in this role, you should hold a degree in Computer Science or related fields, demonstrate expertise in Python programming, possess knowledge of AI/ML frameworks, and exhibit familiarity with data analysis and visualization libraries. Proficiency in version control tools, deploying ML models, and strong problem-solving skills are also essential. Preferred qualifications include proficiency in Python-based Big Data tools, experience with NLP frameworks, and familiarity with MLOps tools. By joining our team, you will have the opportunity to work on impactful AI/ML projects, grow in a collaborative environment, and lead with Python in cutting-edge technologies. If you are passionate about leveraging Python for AI/ML projects, eager to collaborate with a dynamic team, and excited about shaping the future of AI, we look forward to welcoming you on board. To apply, kindly submit your resume and examples of Python-based AI/ML projects to hr@whitemastery.com. This is a full-time, permanent position with a day shift schedule, and the expected start date is 15/04/2025.,

Job Description: We are looking for an enthusiastic and detail-oriented Data Analyst (Fresher) to join our analytics team. If you are passionate about data, eager to work on real-world business problems, proficient in Python and SQL, we would love to hear from you. Responsibilities: Analyze large datasets to identify trends, patterns, and insights Write efficient SQL queries to extract and manipulate data Use Python for data cleaning, analysis, and automation (Pandas, NumPy, etc.) Create visual reports using tools or libraries (Matplotlib, Seaborn, or Excel) Collaborate with product and business teams to solve data-related problems Maintain dashboards and ensure data accuracy and consistency Required Skills: Proficiency in Python for data analysis (Pandas, NumPy, basic scripting) Strong command of SQL (joins, aggregations, subqueries) Good understanding of data structures and basic statistics Strong problem-solving skills and attention to detail Effective communication and willingness to learn Preferred (Good to Have): Exposure to BI tools like Power BI / Tableau Understanding of Excel/Google Sheets functions Internship/project experience in data analysis or related work Benefits: Flexible working hours Mentorship and structured training Opportunity to work on real business problems Friendly and collaborative team culture Certificate of completion and potential for full-time conversion (if applicable)

Job TitleAI/ML Architect Location: Bangalore / Pune Experience: 10+ Years Job Type: Full-Time | Work Mode: Hybrid Job Summary We are seeking an experienced and visionary AI/ML Architect to lead the end-to-end design, development, deployment, and operationalization of advanced AI/ML and Generative AI (GenAI) solutions on cloud platforms. The ideal candidate will possess deep technical expertise in ML architecture, GenAI frameworks, Retrieval-Augmented Generation (RAG) pipelines, cloud-native deployment, and MLOps practices. You will work closely with cross-functional teams, clients, and engineering teams to define scalable AI strategies and deliver cutting-edge solutions across various domains. Key Responsibilities Customer Engagement & Solution Architecture Interact with clients and stakeholders to gather business and technical requirements and translate them into scalable AI/ML solutions. Architect and design AI/ML systems across AWS, GCP, or Azure with a strong focus on cloud-native and cost-optimized architecture. Create detailed system design documents, architecture diagrams, and technical roadmaps. Define data architecture, storage, and retrieval strategies tailored to AI/ML workflows. GenAI & RAG Architecture Lead the design and implementation of Generative AI solutions using LLMs, LangChain, LlamaIndex, Prompt Engineering, and vector databases such as Pinecone, FAISS, Weaviate, or Elasticsearch. Architect RAG (Retrieval-Augmented Generation) pipelines for enterprise use cases including knowledge management, chatbot development, and document summarization. Implement prompt orchestration, retrieval optimization, and grounding techniques to enhance LLM output accuracy and relevance. AI/ML Model Development & MLOps Guide the development of Python-based APIs, data preprocessing workflows, and model training pipelines. Design and implement robust CI/CD pipelines for ML model deployment using tools like SageMaker, Vertex AI, or Azure ML. Define and implement model monitoring, retraining, and performance management strategies for production-grade ML systems. Ensure best practices in versioning, reproducibility, model lineage, and auditability (MLOps/LLMOps). Technical Leadership & Governance Review and approve system designs, PoCs, and implementation approaches. Provide hands-on leadership and mentorship to data scientists, ML engineers, and software developers. Lead architectural decision-making, code quality reviews, and sprint grooming sessions. Champion best practices in security, compliance, scalability, and performance optimization for AI/ML solutions. Project Management & Collaboration Own end-to-end technical delivery of AI/ML and GenAI projects across multiple domains (e.g., BFSI, Retail, Healthcare, Manufacturing). Coordinate with product owners, business analysts, data engineers, and DevOps teams to ensure seamless delivery. Manage stakeholder expectations, project timelines, and resource allocation efficiently. Required Qualifications 10+ years of overall IT experience, with minimum of 5+ years in designing, developing, deploying, and operationalizing AI/ML solutions. Minimum 23 years of experience in architecting end-to-end AI/ML solutions, including design, implementation, and production deployment. Proven experience in GenAI, LLMs, RAG architecture, prompt engineering, and orchestration tools like LangChain, LlamaIndex, etc. Hands-on with vector databases (e.g., Pinecone, FAISS, Elasticsearch) and unstructured data retrieval. Deep knowledge of Machine Learning and Deep Learning algorithmsCNNs, RNNs, LSTMs, Transformers, etc. Experience in Natural Language Processing (NLP), including language modeling, summarization, classification, and NER. Strong expertise in Python, with frameworks like PyTorch, TensorFlow, HuggingFace, NumPy, and Pandas. Demonstrated experience in designing cloud-native AI/ML solutions on AWS, GCP, or Azure. Skilled in deploying models via services like SageMaker, Vertex AI, Azure ML, or using containers and Kubernetes. Solid understanding of MLOps/LLMOps lifecyclepipeline automation, model registry, monitoring, CI/CD. Excellent communication, leadership, and stakeholder management skills. Preferred Qualifications Certification in AWS/GCP or ML specializations. Experience in leading large-scale AI transformation programs. Why Join Us Work with cutting-edge GenAI and AI/ML technologies and projects. Collaborate with top-tier clients and drive real-world impact. Leadership opportunities in a growing AI/ML practice.

Tech Stalwart Solution Private Limited is looking for Python Developer to join our dynamic team and embark on a rewarding career journey Coordinating with development teams to determine application requirements. Writing scalable code using Python programming language. Testing and debugging applications. Developing back-end components. Integrating user-facing elements using server-side logic. Assessing and prioritizing client feature requests. Integrating data storage solutions. Reprogramming existing databases to improve functionality. Developing digital tools to monitor online traffic. Write effective, scalable code Develop back-end components to improve responsiveness and overall performance Integrate user-facing elements into applications Test and debug programs Improve functionality of existing systems Implement security and data protection solutions Assess and prioritize feature requests Coordinate with internal teams to understand user requirements and provide technical solutions.

TIH Foundation for IoT IoE is looking for Python Developer to join our dynamic team and embark on a rewarding career journey Coordinating with development teams to determine application requirements. Writing scalable code using Python programming language. Testing and debugging applications. Developing back-end components. Integrating user-facing elements using server-side logic. Assessing and prioritizing client feature requests. Integrating data storage solutions. Reprogramming existing databases to improve functionality. Developing digital tools to monitor online traffic. Write effective, scalable code Develop back-end components to improve responsiveness and overall performance Integrate user-facing elements into applications Test and debug programs Improve functionality of existing systems Implement security and data protection solutions Assess and prioritize feature requests Coordinate with internal teams to understand user requirements and provide technical solutions.

F2F Round mandatory in Bangalore Location Technical & Behavioral Competencies Excellent Knowledge & Understanding of Python, Pandas and Oracle, SQL, PL/SQL. Good Knowledge & Understanding of data modelling. Flair for learning new tools & technology. 4-6 years of experience in Banking IT, with a good understanding of the Corporate and Institutional Banking activity. Knowledge of Capital Markets an asset. Good knowledge and understanding of Windows Batch or PowerShell scripting. Good knowledge in systems, application frameworks, database optimization, and experience being responsible for the success of software development projects. Proven record interpreting and fulfilling requirements by developing high performing, scalable and maintainable solutions with multiple technologies. Hands-on experience with SDLC methodologies and best practices including Waterfall Process, Agile methodologies, deployment automation, code reviews, and test-driven development. Strong coordination and organizational skills Excellent communication skills and multi-tasking capabilities. Being aware of new technologies and frameworks. Experience and knowledge of Python language features like basic data types, functions with keywords args, default args, variable length args. Experience in using Python database API with any relational database like Oracle/SQL Server using pure Python or native database driver. Experience in using built in collection types [for example: sequence types, dict, sets]. Experience in using text manipulation facilities like regex, string methods from the standard library. Experience in reading and manipulating various file types like XML [using standard module like Element Tree], JSON, CSV. Experience in using file and directory manipulation modules like paths, globs from the standard library. Knowledge of widely used libraries in data science like NumPy, Pandas is a must. Visualization is a good to have but not on the mandatory path. Knowledge and Experience in using collections from the collections module will be good to have though not mandatory. Familiarity with using context managers. Familiarity with date manipulation using modules like datetime. Knowledge of Generators will be good to have though not mandatory. Familiarity with Object Oriented Python and magic methods. Ankita Bhagat Talent Acquisition Human Resources, Kiya.ai Email ID: ankita.bhagat@kiya.ai Mobile Number : 7738314200 www.kiya.ai

We are Hiring Python Developer. Job Location - Shivajinagar , Pune Role Summary- We are seeking a skilled and motivated Python Engineer (AI & Automation) with 34 years of experience to help drive our AI and intelligent automation initiatives. This role combines core Python development with hands-on implementation of AI-powered solutions and workflow automation. The ideal candidate will have a passion for working on innovative projects, experimenting with large language models (LLMs), and building intelligent business workflows that create tangible impact. Key Responsibilities Develop and maintain Python scripts, modules, and backend logic to support AI, data, and automation projects. Design and build data processing pipelines for cleaning, transforming, and preparing structured and unstructured data. Support the development of AI-powered business applications using LLM frameworks and NLP techniques. Implement and maintain automated business workflows using orchestration and automation platforms. Collaborate with business and IT stakeholders to understand requirements and deliver practical, scalable solutions. Required Skills & Qualifications Bachelors degree in Computer Science, Data Science, or related technical field. 34 years of professional experience in Python development. Strong knowledge of Python data processing libraries (e.g., Pandas, NumPy). Experience with REST APIs and system integrations. Basic understanding of workflow automation and orchestration concepts (or willingness to learn). Basic knowledge of SQL and relational databases. Strong willingness to experiment with new AI tools and frameworks, and ability to quickly learn emerging technologies. *its Monday to saturday working.(Weekly off on sunday) If inetrested kindly reply with your upadte resume

: Job Title AI Engineer, AVP LocationBangalore, India Role Description We are seeking a talented and experienced AI Engineer to join our team. The ideal candidate will be hands-on and drive design, development, and implementation of AI based solutions for CB Tech. This role involves working with large datasets, conducting experiments, and staying updated with the latest advancements in AI and Machine Learning. This person is expected to innovate and lead the efforts in modernizing the engineering landscape by identifying AI use cases and provide local support. E.g. Test Automation using AI etc. If you are actively coding, have a passion for AI and want to be part of developing innovative products then apply today. What well offer you , 100% reimbursement under childcare assistance benefit (gender neutral) Sponsorship for Industry relevant certifications and education Accident and Term life Insurance Your key responsibilities What Youll Do Design, develop and implement AI and Gen-AI based Agentic software systems on the cloud. Write MCP Servers and Clients. Collaborate with other development teams and SMEs to integrate shared services into products. Learn Deutsche Banks AI Governance framework and operate within safe AI principles. Leverage architecture decision trees to pick strategic AI patterns to solve business problems. Integrate Gen-AI APIs with cloud-native presentation (GKE, Cloud Run) and persistent layers (PostgreSQL, BQ). Run systems at scale while continuing to innovate and evolve. Work with data engineers and scientists to ensure effective data collection and preparation for training AI models. Continuously monitor the performance of AI solutions and implement improvements. Lead training sessions and create comprehensive documentation to empower end users. Function as an active member of an agile team. Your skills and experience AI ExpertiseProficiency in frameworks (Langchain, Streamlit or similar), libraries (Scikit-learn or similar) and cloud platforms (GCP preferable) for AI/ML. Prompt Engineering & RAGSkills in crafting effective prompts and enhancing AI outputs with external data integration. NLP KnowledgeStrong understanding of natural language processing and conversational AI technologies. Deployment & OperationsExperience in model deployment, monitoring, optimization (MLOps), and problem-solving. Proficiency with cloud-native orchestration systems (Docker/Kubernetes). Proficiency in Python or Java, and SQL. Knowledge of RESTful design. Experience working with different types of enterprise and real-world data sets structured, semi-structured and unstructured data. Experience putting ML/AI into production, and ability to talk through best practices and pitfalls. Relationship and consensus building skills. Skills That Will Help You Excel Stakeholder CommunicationAbility to explain AI concepts to non-technical audiences and collaborate cross-functionally. Adaptability & InnovationFlexibility in learning new tools and developing innovative solutions. Experience in GCP Vertex AI. Experience with cloud-native databases/warehouses (PG and BigQuery). Experience in data visualization and observability with a focus on real time serving and monitoring of time series data with alerts. Thought Leadership & AdvocacyDevelop awareness of industry developments and best practices Provide thought leadership in emerging technologies as they relate to AI topics. How well support you . . . . About us and our teams Please visit our company website for further information: https://www.db.com/company/company.htm

Lead IBM into the future by translating system requirements into the design and development of customized systems in an agile environment. The success of IBM is in your hands as you transform vital business needs into code and drive innovation. Your work will power IBM and its clients globally, collaborating and integrating code into enterprise systems. You will have access to the latest education, tools and technology, and a limitless career path with the world’s technology leader Required education Bachelor's Degree Preferred education Master's Degree Required technical and professional expertise Develop and deploy models using CML workspaces, Build CI/CD pipelines for ML lifecycle Integrate with governance and monitoring tools,Enable secure model serving via REST APIs Preferred technical and professional experience Model governance, lineage, and versioning API exposure for real-time inference

Scale an existing RAG code base for a production grade AI application Proficiency in Prompt Engineering, LLMs, and Retrieval Augmented Generation Programming languages like Python or Java Experience with vector databases Experience using LLMs in software applications, including prompting, calling, and processing outputs Experience with AI frameworks such as LangChain Troubleshooting skills and creative in finding new ways to leverage LLM Experience with Azure Proof of Concept (POC) DevelopmentDevelop 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 Required education Bachelor's Degree Preferred education Master's Degree Required technical and professional expertise 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 (e.g. Kubernetes, AWS, Azure, GCP) and related services is a plus. Experience and working knowledge in COBOL & JAVA would be preferred Having experience in Code generation, code matching & code translation Prepare the effort estimates, WBS, staffing plan, RACI, RAID etc. . Excellent interpersonal and communication skills. Engage with stakeholders for analysis and implementation. Commitment to continuous learning and staying updated with advancements in the field of AI. Demonstrate a growth mindset to understand clients' business processes and challenges Preferred technical and professional experience EducationBachelor's, Master's, or Ph.D. degree in Computer Science, Artificial Intelligence, Data Science or a related field. Ability to communicate with internal and external clients to understand and define business needs, providing analytical solutions Ability to communicate results to technical and non-technical audiences