652 Pandas Jobs - Page 4

ob Title: Python Developer Machine Learning & AI (2–3 Years Experience) Job Summary: We are seeking a skilled and motivated Python Developer with 2 to 3 years of experience in Machine Learning and Artificial Intelligence. The ideal candidate will have hands-on experience in developing, training, and deploying machine learning models, and should be proficient in Python and associated data science libraries. You will work with our data science and engineering teams to build intelligent solutions that solve real-world problems. Key Responsibilities: Develop and maintain machine learning models using Python. Work on AI-driven applications, including predictive modeling, natural language processing, and computer vision (based on project requirements). Collaborate with cross-functional teams to understand business requirements and translate them into ML solutions. Preprocess, clean, and transform data for training and evaluation. Perform model training, tuning, evaluation, and deployment using tools like scikit-learn, TensorFlow, or PyTorch. Write modular, efficient, and testable code. Document processes, models, and experiments clearly for team use and future reference. Stay updated with the latest trends and advancements in AI and machine learning. Required Skills: 2–3 years of hands-on experience with Python programming. Solid understanding of machine learning algorithms (supervised, unsupervised, and reinforcement learning). Experience with libraries such as scikit-learn , pandas , NumPy , Matplotlib , and Seaborn . Exposure to deep learning frameworks like TensorFlow , Keras , or PyTorch . Good understanding of data structures and algorithms. Experience with model evaluation techniques and performance metrics. Familiarity with Jupyter Notebooks, version control (Git), and cloud platforms (AWS, GCP, or Azure) is a plus. Strong analytical and problem-solving skills. Preferred Qualifications: Bachelor’s or Master’s degree in Computer Science, Data Science, Mathematics, or related field. Experience with deploying ML models using Flask , FastAPI , or Docker . Knowledge of MLOps and model lifecycle management is an advantage. Understanding of NLP or Computer Vision is a plus.

Roles & Responsibilities: Exp level: 10 years Analyzing raw data Developing and maintaining datasets Improving data quality and efficiency Interpret trends and patterns Conduct complex data analysis and report on results Prepare data for prescriptive and predictive modeling Build algorithms and prototypes Combine raw information from different sources Explore ways to enhance data quality and reliability Identify opportunities for data acquisition Develop analytical tools and programs Collaborate with data scientists and architects on several projects Technical Skills: Implementing data governance with monitoring, alerting, reporting Technical Writing capability: documenting standards, templates and procedures. Databricks Knowledge on patterns for scaling ETL pipelines effectively Orchestrating data analytics workloads – Databricks jobs and workflows Integrating Azure DevOps CI/CD practices with data pipeline development ETL modernization, Data modelling Strong exposure to Azure Data services, Synapse, Data orchestration & Visualization Data warehousing & Data lakehouse architecrures Data streaming & Ream time analytics Python PySpark Library, Pandas Azure Data Factory Data orchestration Azure SQL Scripting, Querying, stored procedures

Dear Candidate, We are seeking a highly skilled and motivated Software Engineer with expertise in Azure AI , Cognitive Services, Machine Learning , and IoT. The ideal candidate will design, develop, and deploy intelligent applications leveraging Azure cloud technologies, AI-driven solutions, and IoT infrastructure to drive business innovation and efficiency. Responsibilities: Develop and implement AI-driven applications using Azure AI and Cognitive Services . Design and deploy machine learning models to enhance automation and decision-making processes. Integrate IoT solutions with cloud platforms to enable real-time data processing and analytics. Collaborate with cross-functional teams to architect scalable, secure, and high-performance solutions. Optimize and fine-tune AI models for accuracy, performance, and cost-effectiveness. Ensure best practices in cloud security, data governance, and compliance. Monitor, maintain, and troubleshoot AI and IoT solutions in production environments. Stay updated with the latest advancements in AI, ML, and IoT technologies to drive innovation. Required Skills and Qualifications: Bachelors or Masters degree in Computer Science, Engineering, or a related field. Strong experience with Azure AI, Cognitive Services, and Machine Learning. Proficiency in IoT architecture, data ingestion, and processing using Azure IoT Hub , Edge , or related services. Expertise in deploying and managing machine learning models in cloud environments. Strong understanding of RESTful APIs, microservices, and cloud-native application development. Experience with DevOps practices, CI/CD pipelines, and containerization (Docker, Kubernetes). Knowledge of cloud security principles and best practices. Excellent problem-solving skills and the ability to work in an agile development environment. Preferred Qualifications: Certifications in Microsoft Azure AI, IoT, or related cloud technologies. Experience with Natural Language Processing (NLP) and Computer Vision. Familiarity with big data processing and analytics tools such as Azure Data. Prior experience in deploying edge computing solutions. Soft Skills: Problem-Solving: Ability to analyze complex problems and develop effective solutions. Communication Skills: Strong verbal and written communication skills to effectively collaborate with cross-functional teams. Analytical Thinking: Ability to think critically and analytically to solve technical challenges. Time Management: Capable of managing multiple tasks and deadlines in a fast-paced environment. Adaptability: Ability to quickly learn and adapt to new technologies and methodologies. Interview Mode : F2F for who are residing in Hyderabad / Zoom for other states Location : 43/A, MLA Colony,Road no 12, Banjara Hills, 500034 Time : 2 - 4pm

T he Team: Financial Risk Analytics at S&P Global provides products and solutions to financial institutions to measure and manage their counterparty credit risk, market risk, regulatory risk capital and derivative valuation adjustments. Using the latest analytics and technology such as a fully vectorized pricing library, Machine Learning and a Big Data stack for scalability, our products and solutions are used by the largest tier-one banks to smaller niche firms. Our products are available deployed, in the cloud or can be run as a service. We have a need for an enthusiastic and skilled Senior Python developer who is interested in learning about quantitative analytics and perhaps looking to make a career at the intersection of Financial Analytics, Big Data and Mathematics! The Impact: You will be working on a strategic component that allows clients to on-demand extract data required for pricing and risk calculations. This is an essential entry point to a risk calculation which requires speed to market and good design to drive efficient and robust workflows. Whats in it for y ou: The successful candidate will gain exposure to risk analytics and latest trending technology that allows you to grow into a hybrid role specializi ng in both financial markets and technology a highly rewarding, challenging, and marketable position to gain skills in. Responsibilities: The successful candidate will work on the Market Risk solution with a technology stack that is best of breed, involving Python 3.10+ , Airflow, Pandas, NumPy , ECS (AWS) . You will join a fast-paced, dynamic team environment, building commercial products that are at the heart of the business and contributing directly to revenue generation. Design and implement end to end applications in Python with an emphasis on efficiently writing functions on large datasets. Interpret and analyse business use-cases and feature requests into technical designs and development tasks. Participate in regular design and code review meetings. Be a responsive team player in system architecture and design discussions. Be proud of the high quality of your own work. Always follow quality standards (unit tests, integration tests and documented code) Happy to coach and mentor junior engineers. Be delivery focused, have a passion for technology and enjoy offering new ideas and approaches. Demonstrable technical capacity in understanding technical deliveries and dependencies. Strong experience in working in software engineering projects in an Agile manner. What Were Looking For: Bachelors degree in computer science, Engineering, or a related discipline, or equivalent experience Computer Science and Software Engineering: Strong software development experience Minimum 8years' experience in developing applications using Python. Experience using Python 3.10+ Core Python with rich knowledge in OO methodologies and design. Experience writing python code that is scalable and performant. Experience/exposure to complex data types when designing and anticipating issues that impact performance (under ETL processes) by generating metrics using industry adopted profiling tools during development. Experience working on AWS, ECS, S3 and ideally MWAA (hosted Airflow on AWS) Experience working in data engineering/orchestration and scalable efficient flow design. Experience in developing data pipelines using Airflow. Good working competency in Docker, Git, Linux Good working knowledge of Pandas and NumPy Understanding of CI/CD pipelines Test frameworks. Agile and XP (Scrum, Kanban, TDD) Experience with cloud-based infrastructures, preferably with AWS. Fluent in English Passionate individual who thrives development, data and is hands on.

Strong Python programming skills with expertise in Pandas, Lxml, ElementTree, File I/O operations, Smtplib, and Logging libraries Basic understanding of XML structures and ability to extract key parent & child xml tag elements from XML data structure Required Candidate profile Java Spring Boot API Microservices - 8+ years of exp + SQL 5+ years of exp + Azure 3+ years of experience

Strong Python programming skills with expertise in Pandas, Lxml, ElementTree, File I/O operations, Smtplib, and Logging libraries Basic understanding of XML structures and ability to extract key parent & child xml tag elements from XML data structure Required Candidate profile Java Spring Boot API Microservices - 8+ years of exp + SQL 5+ years of exp + Azure 3+ years of experience

Role & responsibilities Minimum of 8 years of related experience Bachelor's degree or equivalent experience Expertise in Python; solid experience in building enterprise applications using Python. Experience with Python multithreading and multiprocessing applications Good understanding of pandas, libraries. Strong experience with SQL (ideally Snowflake) Familiarity with AWS Cloud technologies Experience working in Agile Development teams Experience with enterprise CI/CD tools ex: Jenkins, version control systems ex: Git Experience with development of financial applications, ideally related to Risk Management Hands on experience with writing automated test cases Ex: pytest or unittest Ability to work independently and in a distributed team environment Preferred candidate profile

Key Responsibilities: Design, develop, and deploy RPA bots using Automation Anywhere (A2019 or newer) to automate complex business processes Write and integrate Python scripts to enhance automation, including tasks like web scraping, API calls, and file handling Collaborate with business analysts, SMEs, and stakeholders to understand automation requirements and deliver scalable solutions Develop and maintain process documentation including PDDs (Process Design Documents) and SDDs (Solution Design Documents) Continuously monitor and troubleshoot bots for optimal performance and reliability Ensure solutions are secure, compliant, and scalable as per organizational and industry standards Participate in testing, code reviews, and deployment activities Required Skills: Hands-on experience with Automation Anywhere A2019 or later Strong Python programming skills including: Data manipulation with Pandas (DataFrames, cleaning, filtering, merging) Numerical operations with NumPy Excel automation using Openpyxl and XlsxWriter Experience in web scraping, API integration, file operations in Python Familiarity with SQL and database tools (SQL Server, MySQL, etc.) Solid understanding of the RPA lifecycle, bot management, and best practices Strong debugging and problem-solving skills, and high attention to detail Interested Candidates Please Share the Following Details with Your Resume: Full Name Location: Delhi NCR,Bangalore,Chennai,Pune,Kolkata,Ahmedabad,Mumbai,Hyderabad

Role & responsibilities Preferred candidate profile Job Title: SnapLogic with Python Location : Pan India (WFO) Experience Level: 5 to 8 Years Job Description Essential Skills Must have technical skills Knowledge of latest Python frameworks and technologies (e.g., Django, Flask, FastAPI) Experience with SnapLogic cloud-native integration platform. Ability to design and implement integration pipelines using SnapLogic Experience with Python libraries and tools (e.g., Pandas, NumPy, SQLAlchemy) Strong experience in designing, developing, and maintaining RESTful APIs. Familiarity with API security, authentication, and authorization mechanisms (e.g., OAuth, JWT) Good experience and hands-on knowledge of PL/SQL (Packages/Functions/Ref cursors) Good to have technical skills: Hands-on experience with Kubernetes for container orchestration Knowledge of deploying, managing, and scaling applications on Kubernetes clusters Proficiency in AWS services (e.g., EC2, S3, RDS, Lambda). Experience with infrastructure-as-code tools (e.g., Terraform, CloudFormation). Key Responsibilities Develop and maintain high-quality Python code for API services. Design and implement containerized applications using Kubernetes. Utilize AWS services for cloud infrastructure and deployment. Create and manage integration pipelines using SnapLogic. Write and optimize PL/SQL stored procedures for database operations. Collaborate with cross-functional teams to deliver high-impact solutions. Ensure code quality, security, and performance through best practices.

Role & responsibilities Position 2: Python Developer Job description Experience: 5 Years Location: Mysore Technical Skills: Programming: Python (Pandas, NumPy, Matplotlib, Seaborn, Requests) BI Tools: Power BI (DAX, Power Query, Data Modeling, Report Design) Data Handling: SQL, Excel, CSV, JSON, APIs, RESTful Services Visualization: Power BI Reports & Dashboards, Python Plotting Libraries Cloud: Azure / AWS (basic understanding of data services) Version Control: Git, GitHub Roles & Responsibilities: Develop and maintain Python-based data pipelines to collect, clean, and transform data from various sources (databases, APIs, files). Design and deploy interactive Power BI dashboards and reports to visualize key metrics and KPIs. Use DAX and Power Query to create calculated columns, measures, and efficient data models in Power BI. Automate repetitive data tasks using Python scripts and integrate them into reporting workflows. Collaborate with business stakeholders to gather requirements and translate them into visual and analytical solutions. Optimize data models and queries for performance and scalability across Power BI and Python environments. Publish and manage Power BI dashboards via Power BI Service and configure scheduled data refreshes. Preferred candidate profile

Experience: 1yr- 5yrs Salary: As per company norms Location: Chinchwad, Pune - Maharashtra Joining: Immediate Industry Type: Education / Training Department: Trainer/ Teaching Faculty Work Mode: Work From Office (Full time Job) Salary: As per the company norms Notice Period : Immediate Job Description : We are looking for an experienced and dynamic Data Science Trainer to join our team. The ideal candidate will be responsible for designing and delivering training sessions on business analytics concepts, tools, and applications. You will equip learners with the skills needed to interpret data, derive insights, and make strategic business decisions. Skills: Power BI, Advance Excel, SQL, Machine learning , Artificial Intelligence, Python Responsibilities and Duties - Devise technical training programs according to organizational requirements. Produce training schedules and classroom agenda & execute training sessions Determine course content according to objectives. Prepare training material (presentations, worksheets etc.) Keep and report data on completed courses, absences, issues etc. Observe and evaluate results of training programs. Determine overall effectiveness of programs and make improvements.. (Note: PART TIME WORKER PLEASE DO NOT APPLY) Interested candidates can drop their CV on apardeshi@sevenmentor.com OR contact on 8806178325

Role: Python Developer Experience: 2-5 years Location: Chennai (Work-from-Office) Summary of the profile: Develops information systems by studying operations; designing, developing, and installing software solutions, supports and develops software team. What you'll do here: Develops software solutions by studying information needs; conferring with users; studying systems flow, data usage, and work processes; investigating problem areas; following the software development lifecycle. Implement and maintain Django-based applications Use server-side logic to integrate user-facing elements. Develop software related to asset management Write and implement software solutions that integrate different systems. Identify and suggest various opportunities to improve efficiency and functionality. Coordinating the workflow between the graphic designer, the HTML coder, and yourself Creating self-contained, reusable, and testable modules and components Continuously discover, evaluate, and implement new technologies to maximize development efficiency. Unit-test code for robustness, including edge cases, usability, and general reliability. Provides information by collecting, analyzing, and summarizing development and service issues. What you will need to thrive: 2 to 6 years of experience in Django, Python, APIs, Numpy, Pandas, PostgreSQL, Git, AWS, Docker, REST, NoSQL, MySQL, JavaScript Experience of working with Windows and Linux operating systems. Familiarity with Python modules like SQL Alchemy, Sanic, Flask, Django, Numpy, Pandas and Visualization modules Experience in writing tests with PyTest Strong knowledge of REST API Experience of working in an Agile environment, particularly with Scrum/Kanban processes The ability to deliver required functionality working with UI as well as database engineers Good team working skills are a must for this role Good problem solving abilities Accountability and strong attention to detail Working knowledge of GIT and GITHUB Education & Experience: Bachelors degree in IT Information Security or related field required; Masters degree Desirable. Core competencies: • Communication, Coding & Team management

JOB DESCRIPTION Title: Senior Software Engineer - Data Science Full time Chennai Data Scientist Role Type: Location: Reports to: Summary of the profile: We are seeking a highly motivated and innovative Data Scientist with 3-5 years of experience to join our team, with a focus on leveraging Generative AI and Large Language Models (LLMs). The ideal candidate will be passionate about exploring the potential of these cutting-edge technologies to solve complex problems and create impactful solutions. You will collaborate with cross-functional teams to research, develop, and deploy generative AI models and LLM-powered applications. What youll do here: Explore and experiment with various generative AI models (e.g., GANs, VAEs, diffusion models) and LLMs (e.g., GPT, BERT, Llama). ¢ Fine-tune pre-trained LLMs for specific tasks and domains. Develop and implement generative models for tasks like data augmentation, content generation, and synthetic data creation. ¢ ¢ ¢ Prompt engineering, and prompt iteration. Collect, clean, and preprocess large text datasets for LLM training and evaluation. Perform natural language processing (NLP) tasks such as text classification, sentiment analysis, and entity recognition. ¢ ¢ Use LLMs to assist in data cleaning and data understanding. Develop and evaluate machine learning models, including those leveraging generative AI and LLMs. ¢ Evaluate model performance using relevant metrics and techniques, including those specific to LLMs (e.g., perplexity, BLEU score). ¢ ¢ Tune hyperparameters to optimize model performance. Create compelling visualizations and reports to communicate insights from generative AI and LLM experiments. ¢ ¢ Present findings to both technical and non-technical audiences. Collaborate with engineers, product managers, and researchers to define project requirements and deliver solutions. ¢ ¢ Communicate effectively with team members and stakeholders, both verbally and in writing. Stay up-to-date with the latest advancements in generative AI and LLMs. Copyright © RESULTICKS Solution Inc 1 ¢ ¢ Assist in deploying generative AI models and LLM-powered applications to production environments. Monitor model performance and retrain models as needed. What you will need to thrive: ¢ ¢ 3-5 years of professional experience in data science, with a growing interest in Generative AI and LLMs. Proficiency in Python and relevant libraries (e.g., NumPy, Pandas, Scikit-learn, TensorFlow, PyTorch, Hugging Face Transformers). ¢ ¢ ¢ ¢ ¢ ¢ Experience with NLP techniques and libraries. Understanding of machine learning algorithms and statistical concepts. Experience with data visualization tools (e.g., Matplotlib, Seaborn, Tableau, Power BI). Excellent problem-solving and analytical skills. Strong communication and collaboration skills. Experience with Prompt engineering, version control systems like Git and cloud platforms like GCP, AWS or Azure is a plus Preferred Skills: ¢ ¢ ¢ ¢ ¢ ¢ Experience with fine-tuning LLMs for specific tasks. Experience with deploying LLMs in production environments. Knowledge of deep learning architectures relevant to generative AI and LLMs. Familiarity with vector databases. Experience with RAG (Retrieval Augmented Generation) architectures. Experience with the Langchain Library. Education: ¢ Bachelor's or Master's degree in Computer Science, Artificial Intelligence, or a related field. Core competencies: ¢ Communication, Analytical & Problem-Solving Skills Copyright © RESULTICKS Solution Inc 2 About RESULTICKS RESULTICKS is a fully integrated connected experience platform for Real Time Audience Engagement. RESULTICKS empowers brands to create data-driven communications to their audiences and drives business decisions through its award-winning, AI-powered big data cloud solution. Supported by the worlds first customer data blockchain, RESULTICKS unlocks incredible digital transformation possibilities by delivering the full 360 view of the customer through data consolidation and omnichannel orchestration. Built from the ground up by experts in marketing, technology, and business management, RESULTICKS enables brands to make a transformational leap to conversion- driven, growth-focused personalized engagement. With an advanced CDP at its core. RESULTICKS offers AI-powered omnichannel orchestration, complete analytics, next-best engagement, attribution at the segment-of-one level, and the worlds first marketing block chain. ¢ RESULTICKS has been named to the Gartners Magic Quadrant 2021 for Multichannel Marketing Hubs for five years in a row and has been awarded with the Microsoft Elevating Customer Experience with AI award. ¢ Headquartered in Singapore and New York City, RESULTICKS is one of the top global martech solutions servicing both B2B/B2B2C and B2C segments. RESULTICKS global presence includes the United States, India, Singapore, Indonesia, Malaysia, Vietnam, Thailand, and the Philippines. Watch video on RESULTICKS - https://www.youtube.com/watch?v=G_OwGy6unP8 Copyright © RESULTICKS Solution Inc 3

Apex 2000 INC 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. Python Developer, Flask, My SQL, Django

Job Title : Python - AI/ML Developer Job Type - Full Time, Permanent Work Type - Work from Office Location - Chennai. Job Description We are seeking highly skilled and motivated Python Developers with AI/ML experience and familiar with prompt engineering and LLM integrations to join our Innovations Team. The team is responsible for exploring emerging technologies, building proof-of-concept (PoC) applications, and delivering cutting-edge AI/ML solutions that drive strategic transformation and operational efficiency. As a core member of the Innovations Team, you will work on AI-powered products, rapid prototyping, and intelligent automation initiatives across domains such as mortgage tech, document intelligence, and generative AI. Key Responsibilities: Design, develop, and deploy scalable AI/ML solutions and prototypes. Build data pipelines, clean datasets, and engineer features for training models. Apply deep learning, NLP, and classical ML techniques. Integrate AI models into backend services using Python (e.g., FastAPI, Flask). Collaborate with cross-functional teams (e.g., UI/UX, DevOps, product managers). Evaluate and experiment with emerging open-source models (e.g., LLaMA, Mistral, GPT). Stay current with advancements in AI/ML and suggest opportunities for innovation. Required Skill Set : Technical Skills: Programming Languages: Python (strong proficiency), experience with NumPy, Pandas, Scikit-learn. AI/ML Frameworks: TensorFlow, PyTorch, HuggingFace Transformers, OpenCV (nice to have). NLP & LLMs: Experience with language models, embeddings, fine-tuning, and vector search. Prompt Engineering: Experience designing and optimizing prompts for LLMs (e.g., GPT, Claude, LLaMA) for various tasks such as summarization, Q&A, document extraction, and multi-agent orchestration. Backend Development: FastAPI or Flask for model deployment and REST APIs. Data Handling: Experience in data preprocessing, feature engineering, and handling large datasets. Version Control: Git and GitHub. Database Experience: SQL and NoSQL databases; vector DBs like FAISS, ChromaDB, or Qdrant preferred. Nice to Have (Optional): Experience with Docker, Kubernetes, or cloud environments (Azure, AWS). Familiarity with LangChain, LlamaIndex, or multi-agent frameworks (CrewAI, AutoGen). Soft Skills: Strong problem-solving and analytical thinking. Eagerness to experiment and explore new technologies. Excellent communication and teamwork skills. Ability to work independently in a fast-paced, dynamic environment. Innovation mindset with a focus on rapid prototyping and proof-of-concepts. Educational Qualification: Bachelors or Masters degree in Computer Science, Data Science, AI/ML, or a related field. Certifications in AI/ML or cloud platforms (Azure ML, TensorFlow Developer, etc.) are a plus.

As a Data Engineer at IBM, you'll play a vital role in the development, design of application, provide regular support/guidance to project teams on complex coding, issue resolution and execution. Your primary responsibilities include: Lead the design and construction of new solutions using the latest technologies, always looking to add business value and meet user requirements. Strive for continuous improvements by testing the build solution and working under an agile framework. Discover and implement the latest technologies trends to maximize and build creative solutions Required education Bachelor's Degree Preferred education Master's Degree Required technical and professional expertise Experience with Apache Spark (PySpark): In-depth knowledge of Sparks architecture, core APIs, and PySpark for distributed data processing. Big Data Technologies: Familiarity with Hadoop, HDFS, Kafka, and other big data tools. Data Engineering Skills: Strong understanding of ETL pipelines, data modeling, and data warehousing concepts. Strong proficiency in Python: Expertise in Python programming with a focus on data processing and manipulation. Data Processing Frameworks: Knowledge of data processing libraries such as Pandas, NumPy. SQL Proficiency: Experience writing optimized SQL queries for large-scale data analysis and transformation. Cloud Platforms: Experience working with cloud platforms like AWS, Azure, or GCP, including using cloud storage systems Preferred technical and professional experience Define, drive, and implement an architecture strategy and standards for end-to-end monitoring. Partner with the rest of the technology teams including application development, enterprise architecture, testing services, network engineering, Good to have detection and prevention tools for Company products and Platform and customer-facing

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 behaviours 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 Required education Bachelor's Degree 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 Experience in python and pyspark will be added advantage

As a Data Engineer at IBM, you'll play a vital role in the development, design of application, provide regular support/guidance to project teams on complex coding, issue resolution and execution. Your primary responsibilities include: Lead the design and construction of new solutions using the latest technologies, always looking to add business value and meet user requirements. Strive for continuous improvements by testing the build solution and working under an agile framework. Discover and implement the latest technologies trends to maximize and build creative solutions Required education Bachelor's Degree Preferred education Master's Degree Required technical and professional expertise Experience with Apache Spark (PySpark): In-depth knowledge of Sparks architecture, core APIs, and PySpark for distributed data processing. Big Data Technologies: Familiarity with Hadoop, HDFS, Kafka, and other big data tools. Data Engineering Skills: Strong understanding of ETL pipelines, data modelling, and data warehousing concepts. Strong proficiency in Python: Expertise in Python programming with a focus on data processing and manipulation. Data Processing Frameworks: Knowledge of data processing libraries such as Pandas, NumPy. SQL Proficiency: Experience writing optimized SQL queries for large-scale data analysis and transformation. Cloud Platforms: Experience working with cloud platforms like AWS, Azure, or GCP, including using cloud storage systems Preferred technical and professional experience Define, drive, and implement an architecture strategy and standards for end-to-end monitoring. Partner with the rest of the technology teams including application development, enterprise architecture, testing services, network engineering, Good to have detection and prevention tools for Company products and Platform and customer-facing

Python Developer Location: Bengaluru, Karnataka, India Experience Level: 35 Years Employment Type: Full-Time Role Overview We are seeking a skilled Python Developer with a strong background in data manipulation and analysis using NumPy and Pandas, coupled with proficiency in SQL. The ideal candidate will have experience in building and optimizing data pipelines, ensuring efficient data processing and integration. Key Responsibilities Develop and maintain robust data pipelines and ETL processes using Python, NumPy, and Pandas. Write efficient SQL queries for data extraction, transformation, and loading. Collaborate with cross-functional teams to understand data requirements and deliver solutions. Implement data validation and quality checks to ensure data integrity. Optimize existing codebases for performance and scalability. Document processes and maintain clear records of data workflows. Required Qualifications Bachelors degree in Computer Science, Engineering, or a related field. 25 years of professional experience in Python development. Proficiency in NumPy and Pandas for data manipulation and analysis. Strong command of SQL and experience with relational databases like MySQL, PostgreSQL, or SQL Server. Familiarity with version control systems, particularly Git. Experience with data visualization tools and libraries is a plus. Preferred Skills Experience with data visualization libraries such as Matplotlib or Seaborn. Familiarity with cloud platforms like AWS, Azure, or GCP. Knowledge of big data tools and frameworks like Spark or Hadoop. Understanding of machine learning concepts and libraries. Why Join Enterprise Minds Enterprise Minds is a forward-thinking technology consulting firm dedicated to delivering next-generation solutions. By joining our team, you'll work on impactful projects, collaborate with industry experts, and contribute to innovative solutions that drive business transformation.

We are seeking a highly skilled Senior Data Science Consultant with 8+ years of experience to lead an internal optimization initiative. The ideal candidate should have a strong background in data science, operations research, and mathematical optimization, with a proven track record of applying these skills to solve complex business problems. This role requires a blend of technical depth, business acumen, and collaborative communication. A background in internal efficiency/operations improvement or cost/resource optimization projects is highly desirable. Key Responsibilities Lead and contribute to internal optimization-focused data science projects from design to deployment. Develop and implement mathematical models to optimize resource allocation, process performance, and decision-making. Use techniques such as linear programming, mixed-integer programming, heuristic and metaheuristic algorithms. Collaborate with business stakeholders to gather requirements and translate them into data science use cases. Build robust data pipelines and use statistical and machine learning methods to drive insights. Communicate complex technical findings in a clear, concise manner to both technical and non-technical audiences. Mentor junior team members and contribute to knowledge sharing and best practices within the team. Required Skills And Qualifications Masters or PhD in Data Science, Computer Science, Operations Research, Applied Mathematics, or related fields. Minimum 8 years of relevant experience in data science, with a strong focus on optimization. Expertise in Python (NumPy, Pandas, SciPy, Scikit-learn), SQL, and optimization libraries such as PuLP, Pyomo, Gurobi, or CPLEX. Experience with end-to-end lifecycle of internal optimization projects. Strong analytical and problem-solving skills. Excellent communication and stakeholder management abilities. Preferred Qualifications Experience working on internal company projects focused on logistics, resource planning, workforce optimization, or cost reduction. Exposure to tools/platforms like Databricks, Azure ML, or AWS SageMaker. Familiarity with dashboards and visualization tools like Power BI or Tableau. Prior experience in consulting or internal centers of excellence (CoE) is a plus. Additional Notes This is a contractual/project-based role and not a permanent/full-time position. Compensation will be finalized post-interview, based on mutual agreement and project scope. The project may be divided into phases, with compensation linked to successful milestone completion. Skills: data science , communication , mentoring , optimization , metaheuristic algorithms,sql,linear programming,data pipelines,python,machine learning,mathematical optimization,mixed-integer programming,operations research,statistical methods,heuristic algorithms

Date Location: Bangalore, KA, IN Company Alstom At Alstom, we understand transport networks and what moves people. From high-speed trains, metros, monorails, and trams, to turnkey systems, services, infrastructure, signalling and digital mobility, we offer our diverse customers the broadest portfolio in the industry. Every day, 80,000 colleagues lead the way to greener and smarter mobility worldwide, connecting cities as we reduce carbon and replace cars. Could you be the full-time **Data Solutions Manager** in **[Insert Location]** were looking for Take on a new challenge and apply your **data science and technical leadership** expertise in a cutting-edge field. Youll work alongside **collaborative and innovative** teammates. You'll play a pivotal role in shaping and sustaining advanced data solutions that drive our industrial programs. Day-to-day, youll work closely with teams across the business (**engineering, IT, and program management**), **define and develop scalable data solutions**, and much more. Youll specifically take care of **designing production-grade, cyber-secure data solutions**, but also **applying AI techniques to enhance data utilization for key indicators**. Well look to you for: Managing the team to ensure technical excellence and process adherence Designing scalable, multi-tenant data collectors and storage systems Building streaming and batch data processing pipelines Developing SQL and NoSQL data models Assessing and enhancing the quality of incoming data flows Applying advanced AI techniques and data management/security components Creating customizable analytical dashboards Evaluating opportunities presented by emerging technologies Implementing strong testing and quality assurance practices All about you We value passion and attitude over experience. Thats why we dont expect you to have every single skill. Instead, weve listed some that we think will help you succeed and grow in this role: Engineering degree or equivalent 8+ years of experience in IT, digital companies, software, or startups Proficiency in data processing and software development using tools like QlikSense, PowerApps, Power BI, or Java/Scala Experience with Apache Spark and other data processing frameworks Strong statistical skills (e.g., probability theories, regression, hypothesis testing) Expertise in machine learning techniques and algorithms (e.g., Logistic Regression, Decision Trees, Clustering) Proficiency in data science methods (CRISP-DM, feature engineering, model evaluation) Experience with Python and R libraries (NumPy, Pandas, Scikit) Deep knowledge of SQL database configuration (e.g., Postgres, MariaDB, MySQL) Familiarity with DevOps tools (e.g., Docker, Ansible) and version control (e.g., Git) Knowledge of cloud platforms (Azure, AWS, GCP) is a plus Understanding of network and security principles (e.g., SSL, certificates, IPSEC) Fluent in English; French is a plus Things youll enjoy Join us on a life-long transformative journey the rail industry is here to stay, so you can grow and develop new skills and experiences throughout your career. Youll also: Enjoy stability, challenges, and a long-term career free from boring daily routines Work with cutting-edge security standards for rail data solutions Collaborate with transverse teams and supportive colleagues Contribute to innovative and impactful projects Utilise our **flexible and inclusive** working environment Steer your career in whatever direction you choose across functions and countries Benefit from our investment in your development through award-winning learning opportunities Progress towards leadership roles in data science and digital transformation Benefit from a fair and dynamic reward package that recognises your performance and potential, plus comprehensive and competitive social coverage (life, medical, pension) You dont need to be a train enthusiast to thrive with us. We guarantee that when you step onto one of our trains with your friends or family, youll be proud. If youre up for the challenge, wed love to hear from you! As a global business, were an equal-opportunity employer that celebrates diversity across the 63 countries we operate in. Were committed to creating an inclusive workplace for everyone.

Date 10 Jun 2025 Location: Bangalore, KA, IN Company Alstom At Alstom, we understand transport networks and what moves people. From high-speed trains, metros, monorails, and trams, to turnkey systems, services, infrastructure, signalling and digital mobility, we offer our diverse customers the broadest portfolio in the industry. Every day, 80,000 colleagues lead the way to greener and smarter mobility worldwide, connecting cities as we reduce carbon and replace cars. Your future role Take on a new challenge and apply your deep learning and AI expertise in a new cutting-edge field. Youll work alongside innovative, analytical, and collaborative teammates. You'll spearhead the development and deployment of advanced generative AI models, impacting the way we approach transport solutions. Day-to-day, youll work closely with teams across the business (data scientists, software engineers, project managers), architecting scalable machine learning solutions and much more. Youll specifically take care of leading research initiatives, optimizing AI model efficiency but also fostering a culture of continuous improvement and innovation. Well look to you for: 7-10 years of experience in machine learning, deep learning. Experience End-to-end architecture design for machine learning solutions Deployment of AI models into scalable services Staying at the forefront of generative AI advancements Optimizing models for performance and scalability Collaborating with cross-functional teams for successful project delivery All about you We value passion and attitude over experience. Thats why we dont expect you to have every single skill. Instead, weve listed some that we think will help you succeed and grow in this role: Degree in Computer Science, Information Technology, Electrical Engineering, or related field Experience or understanding of machine learning, deep learning, generative AIand MLOps Knowledge of deep learning techniques and frameworks (TensorFlow, PyTorch) Familiarity with cloud platforms, preferably Microsoft Azure A certification in AI or machine learning is advantageous Strong analytical and problem-solving skills Excellent communication and team collaboration abilities Things youll enjoy Join us on a life-long transformative journey the rail industry is here to stay, so you can grow and develop new skills and experiences throughout your career. Youll also: Enjoy stability, challenges and a long-term career free from boring daily routines Work with new security standards for rail signalling Collaborate with transverse teams and helpful colleagues Contribute to innovative projects Utilise our flexible working environment Steer your career in whatever direction you choose across functions and countries Benefit from our investment in your development, through award-winning learning Progress towards leadership and advanced technical roles Benefit from a fair and dynamic reward package that recognises your performance and potential, plus comprehensive and competitive social coverage (life, medical, pension) You dont need to be a train enthusiast to thrive with us. We guarantee that when you step onto one of our trains with your friends or family, youll be proud. If youre up for the challenge, wed love to hear from you! Important to note As a global business, were an equal-opportunity employer that celebrates diversity across the 63 countries we operate in. Were committed to creating an inclusive workplace for everyone.

Join PiBi Technologies as an AI Product Intern. Work on real-time projects in AI, UI/UX, full stack, APIs, and cloud. Gain hands-on experience in building scalable tech products with expert guidance.

Responsibilities: * Develop predictive models using Python, Sql, NumPy, Pandas & ML algorithms * Collaborate with cross-functional teams on data analysis projects * Optimize database queries for performance improvement Office cab/shuttle

Understand business objectives and translate them into data and machine learning requirements Identify what data is needed to support specific AI use cases and assess its availability, quality and structure Explore and profile data from various sources to evaluate its suitability and uncover biases, gaps or integration challenges Visualising data and analytical results using tools such as Power BI, with the ability to create insightful dashboards for both technical and non-technical audiences. Collaborate with data owners and engineers to locate, access and prepare data for experimentation and model development Work closely with product teams to define success metrics and ensure data can support reliable measurement and evaluation Support the design of data flows and contribute to ingestion and preparation strategies that align with modelling needs Translate insights from data exploration and model experimentation into clear actionable recommendations Contribute to best practices related to data validation, model documentation and governance of analytical workflows Collaborate with ML engineers and AI architects to assess modelling options and design evaluation strategies Stay up to date with developments in AI and machine learning and actively share insights with the wider team Qualification Your starting point for constant growth From the moment you join Ramboll, we will support your personal and professional development so that you grow with the company. For this role, we believe your starting point is: A master’s degree in data science, computer science, statistics, applied mathematics or a related field Strong experience in applied data science or machine learning, with an emphasis on data readiness and problem framing Proficiency in Python and experience with common data science libraries (e.g., pandas, scikit-learn, TensorFlow or PyTorch) Demonstrated ability to explore, profile and assess complex data sets to determine their value for ML solutions Experience working with business stakeholders to translate objectives into data needs and analytic plans Understanding of how data flows from source systems into models, and experience partnering with data engineers to build effective pipelines Excellent communication skills, with the ability to explain and visualize data-related concepts to non-technical audiences Fluency in English Additional Information We offer: Competitive salary and benefits package. Opportunities for professional growth and development. Flexible work environment and work-life balance. A multi-cultural work environment Personal qualities that will help you succeed in this role include: Ability to collect and analyse data, establish facts and make recommendations in written and verbal form. Ability to explain and translate complex, technical IT requirements into material understandable for non-IT staff. Ability to liaise with all parts of an organisation, including IT and business stakeholders. Open-minded and helpful and, finally, a good portion of self-awareness and humour.