889 Pandas Jobs - Page 32

We are seeking an experienced AI Engineer to join the Asset Engineering team. In this role, you will be responsible for building innovative AI-powered solutions that integrate with various systems and applications. You will also be working with the broader team to build, analyse and improve the AI solutions. You will be working primarily in one of our key solutions called the IBM Inspection Suite. The set of products enables clients to use AI to inspect parts and equipment for defects or anomalies using models such as Yolo3 that are trained in formats compatible with mobile devices (iPhones, Androids) such as CoreML and Tensorflow Lite. You will directly collaborate with the CTO of the asset and the technical team who architect, develop, enhance, and govern the asset. Required education Bachelor's Degree Preferred education Master's Degree Required technical and professional expertise Machine Learning and GenAI: Strong understanding of machine learning and GenAI concepts. Awareness of ethical implications in GenAI, including bias, fairness, and privacy Python and Data Science Libraries: Proficiency in Python and relevant data science libraries (e.g., NumPy, Pandas, scikit-learn). Practice on Graph database and Vector DB Computer Vision: Yolo, object detection, classification models. Ideally segmentation and anomaly detection Container Development: Solid hands-on experience in microservices development, Relational DB development, K8S and/or Redhat OpenShift, especially with AWS Large Language Models: Familiarity with LLMs, including their architectures, capabilities, and limitations. Skill in crafting effective prompts to guide LLMs and obtain desired outputs. Ability to handle and prepare data for analysis, including data cleaning, normalization, and feature engineering Preferred technical and professional experience Experience in converting model formats to CoreML and Tensorflow Lite Experience on PostgreSQL and Redis DB (or other service caching mechanism) AI agent/agentic workflow concepts

Responsibilities Work with broader team to build, analyze and improve the AI solutions. You will also work with our software developers in consuming different enterprise applications. Required education Bachelor's Degree Preferred education Master's Degree Required technical and professional expertise Resource should have 5-7 years of experience. Sound knowledge of Python and should know how to use the ML related services. Proficient in Python with focus on Data Analytics Packages. Strategy Analyse large, complex data sets and provide actionable insights to inform business decisions. Strategy Design and implementing data models that help in identifying patterns and trends. Collaboration Work with data engineers to optimize and maintain data pipelines. Perform quantitative analyses that translate data into actionable insights and provide analytical, data-driven decision-making. Identify and recommend process improvements to enhance the efficiency of the data platform. Develop and maintain data models, algorithms, and statistical models. Preferred technical and professional experience Experience with conversation analytics. Experience with cloud technologies Experience with data exploration tools such as Tableu

Responsibilities Asset Engineering is looking for a talented Python Developer with a strong background in SQL server and experience in both data processing and database management to join our growing team. In this role, you will be responsible for developing efficient Python applications and scripts, working with SQL Server databases for data extraction, manipulation, and analysis. Familiarity with data science libraries is a plus, as is experience with cloud platforms like IBM Cloud or Microsoft Azure. Key Responsibilities: Design and develop AI agentic applications using Python programming languages Collaborate with cross-functional teams to identify and prioritize project requirements Integrate AI models with Salesforce, Watsonx Assistant, Watsonx Orchestrate, Slack and other web applications using RESTful APIs and web frameworks such as Spring Boot or Flask/FastAPI. Develop and maintain databases using relational databases PostgreSQL and VectorDB. Ensure high-quality software development by following best practices, testing, and validation Develop and maintain Python applications for data processing, automation, and analysis. Use data science libraries (e.g., pandas, NumPy) to process and analyze data, providing insights and support for analytics needs Required education Bachelor's Degree Preferred education Master's Degree Required technical and professional expertise Bachelor’s degree in Computer Science, Data Engineering, or a related field. 5+ years of experience with Python, with a strong proficiency in SQL Server. Solid understanding of relational databases, data modeling, and database query optimization. Experience with data processing libraries like pandas and NumPy. Strong analytical and problem-solving skills with an eye for detail. Preferred technical and professional experience Experience with cloud platforms (IBM Cloud or Microsoft Azure) & Familiarity with serverless functions in Azure (Azure Functions) using Python. Experience with Microsoft SQL Server. Experience with build tools like Jenkins. Experience with Angular for front-end development. Familiarity with additional data science libraries (e.g., scikit-learn, Matplotlib) is a plus.

Responsibilities Develop modular, reusable components for internal AI projects , ensuring scalability and long-term usability. Collaborate with the team to manage tasks within a structured Agile framework , while ensuring priority tasks are addressed efficiently during each sprint. Balance a workload that includes both development and cross-team communication to ensure the progress of high-priority tasks. Ensure clear and effective communication with team members, particularly within project standups and ongoing task tracking. Take ownership of tasks while working within an established structure and manage changing priorities when necessary. Demonstrate a proactive approach in solving problems and propose innovative solutions to improve existing AI frameworks. Required education Bachelor's Degree Required technical and professional expertise 2+ years of relevant industry experience Proficiency in Python and experience in developing projects (either through college work, internships, or personal projects). Demonstrated innovation and creativity in AI-related projects or any technical domain. Foundational knowledge and interest in artificial intelligence and modern AI technologies (such as machine learning, deep learning, NLP, etc.). Ability to work in a collaborative, structured Agile environment and manage tasks within a sprint while maintaining flexibility for high-priority changes. Strong communication skills and an ability to work well with different teams to ensure project success and progress. Preferred technical and professional experience Familiarity with AI frameworks and libraries (such as TensorFlow , PyTorch , scikit-learn , etc.). Experience with version control systems like Git . Experience in Agile development processes, task management, and team communication.

Entity :- Accenture Strategy & Consulting Team :- Strategy & Consulting Global Network Practice :- Communications & Media - AI & Data Architectures Title :- Ind & Func AI Value Strategy Sr Manager Job location :- Bangalore About S&C - Global Network:- Accenture Strategy & Consulting Global Network - Data & AI practice help our clients grow their business in entirely new ways. Analytics enables our clients to achieve high performance through insights from data - insights that inform better decisions and strengthen customer relationships. From strategy to execution, Accenture works with organizations to develop analytic capabilities - from accessing and reporting on data to predictive modelling - to outperform the competition. WHAT'S IN IT FOR YOU? Accenture has committed to invest USD 3Billion into GenAI in next 3 years. We will continually invest in your learning and growth. Youll work with Accenture's highly skilled and experienced practitioners, and Accenture will support you in growing your own career path and interests. You'll be part of a diverse, vibrant, global Accenture Data and AI community, continually pushing the boundaries of business capabilities. What you would do in this role AI Architecture strategy and Assessment: Lead the development and assessment of AI architectures, ensuring they align with business goals and objectives. Evaluate existing AI solutions, identifying areas for improvement, optimization, and innovation. Operating Model Design: Design robust operating models for Generative AI implementations, considering scalability, efficiency, and business impact. Collaborate with cross-functional teams to integrate AI capabilities seamlessly into existing operational workflows. Develop comprehensive blueprints for Generative AI solutions, outlining technical specifications, data requirements, and integration points. Ensure blueprints adhere to industry best practices and standards. Roadmap Building: Create strategic roadmaps for the implementation and evolution of Generative AI solutions. Define milestones, key performance indicators (KPIs), and success criteria to measure the progress of AI initiatives. Incubating GenAI Solutions: Identify emerging trends and technologies in Generative AI and incubate innovative solutions. Work closely with research and development teams to experiment and prototype new Generative AI concepts. Oversee the end-to-end implementation of Generative AI solutions, collaborating with engineering teams to ensure successful deployment. Provide technical leadership and guidance throughout the implementation lifecycle. Qualifications Who we are looking for? Bachelors or advanced degree in Computer Science, Artificial Intelligence, or a related field. 15+ years of hands-on experience in AI, with a focus on Generative AI. Proven track record of designing and implementing successful AI solutions in real-world business environments. In-depth knowledge of AI architectures, frameworks, and tools. Strong analytical and problem-solving skills. Excellent communication and collaboration abilities, with experience working cross-functionally. Demonstrated leadership in driving AI initiatives from conception to deployment. Experience in Telecom or Hi Tech or Software and platform industry desirable Tools & Techniques: Proficiency in Python programming language and key libraries like Pandas, TensorFlow, PyTorch, and Keras. Understanding and implemention knowledge of deep learning architectures such as CNNs, RNNs, and GANs. Good software engineering practices, including code modularization, documentation, and testing Familiarity with cloud platforms like AWS, Google Cloud, or Microsoft Azure can be beneficial for deploying and scaling GenAI models. If you are a visionary AI architect with a passion for innovation and a proven track record of delivering impactful Generative AI solutions, we invite you to apply and contribute to our dynamic and forward-thinking organization.

Be part of transparent and responsible AI innovations. Join the Software Labs to build GenAI solutions that solve complex business problems and get an opportunity to influence the future of AI. As a Full stack developer, you will Develop and support scalable, secure, and high-performance systems for cloud and on-premises environments that meet world-class standards. Collaborate with stakeholders to build systems that solve complex business problems and deliver exceptional user experiences. Use modern architectural principles and best of the class tools and technologies Participate Technical Initiatives that aligns with business goals and objectives. Work in an agile, collaborative, distributed, fast paced and exciting environment. Stay current with industry trends, best practices, and emerging technolog Required education Bachelor's Degree Preferred education Master's Degree Required technical and professional expertise 3+ years of industry experience At least two years of experience as a Full Stack Software Developer At least two years of experience in Python and other programming language Experienced building Microservices & REST architectures Knowledgeable in Front End Development programming languages and design Frameworks Knowledgeable in Docker Containerization A self-starter & ability to work effectively in a team environment Quick learner Experience in Agile SDLC (design, development, test and deploy) Exceptional knowledge of data structures, algorithms, enterprise systems, asynchronous architectures, and object-oriented programming Preferred technical and professional experience Experience with popular IBM, AWS, Azure and/or GCP services for compute, storage, and databases etc. Working knowledge of SQL and no-SQL databases. Working knowledge of Data Science Libraries: Pandas, Numpy, Sckit-Learn and NetworkX Working knowledge of DevOps practices Working knowledge of Test Automation Tools Design Thinking Experience Experience with Carbon, React, and Angular Design Systems Experience with VS Code Extension Development Experience with Eclipse Plugin Development

Entity :- Accenture Strategy & Consulting Team :- Strategy & Consulting Global Network Practice :- Communications & Media - AI & Data Architectures Title :- Ind & Func AI Value Strategy Manager Job location :- Bangalore About S&C - Global Network:- Accenture Strategy & Consulting Global Network - Data & AI practice help our clients grow their business in entirely new ways. Analytics enables our clients to achieve high performance through insights from data - insights that inform better decisions and strengthen customer relationships. From strategy to execution, Accenture works with organizations to develop analytic capabilities - from accessing and reporting on data to predictive modelling - to outperform the competition. WHAT'S IN IT FOR YOU? Accenture has committed to invest USD 3Billion into GenAI in next 3 years. We will continually invest in your learning and growth. Youll work with Accenture's highly skilled and experienced practitioners, and Accenture will support you in growing your own career path and interests. You'll be part of a diverse, vibrant, global Accenture Data and AI community, continually pushing the boundaries of business capabilities. What you would do in this role AI Architecture Strategy and Assessment: Lead the development and assessment of AI architectures, ensuring they align with business goals and objectives. Evaluate existing AI solutions, identifying areas for improvement, optimization, and innovation. Operating Model Design: Design robust operating models for Generative AI implementations, considering scalability, efficiency, and business impact. Collaborate with cross-functional teams to integrate AI capabilities seamlessly into existing operational workflows. Develop comprehensive blueprints for Generative AI solutions, outlining technical specifications, data requirements, and integration points. Ensure blueprints adhere to industry best practices and standards. Roadmap Building: Create strategic roadmaps for the implementation and evolution of Generative AI solutions. Define milestones, key performance indicators (KPIs), and success criteria to measure the progress of AI initiatives. Incubating GenAI Solutions: Identify emerging trends and technologies in Generative AI and incubate innovative solutions. Work closely with research and development teams to experiment and prototype new Generative AI concepts. Oversee the end-to-end implementation of Generative AI solutions, collaborating with engineering teams to ensure successful deployment. Provide technical leadership and guidance throughout the implementation lifecycle. Qualifications Who we are looking for? Bachelors or advanced degree in Computer Science, Artificial Intelligence, or a related field. 15+ years of hands-on experience in AI, with a focus on Generative AI. Proven track record of designing and implementing successful AI solutions in real-world business environments. In-depth knowledge of AI architectures, frameworks, and tools. Strong analytical and problem-solving skills. Excellent communication and collaboration abilities, with experience working cross-functionally. Demonstrated leadership in driving AI initiatives from conception to deployment. Experience in Telecom or Hi Tech or Software and platform industry desirable Tools & Techniques: Proficiency in Python programming language and key libraries like Pandas, TensorFlow, PyTorch, and Keras. Understanding and implemention knowledge of deep learning architectures such as CNNs, RNNs, and GANs. Good software engineering practices, including code modularization, documentation, and testing Familiarity with cloud platforms like AWS, Google Cloud, or Microsoft Azure can be beneficial for deploying and scaling GenAI models. If you are a visionary AI architect with a passion for innovation and a proven track record of delivering impactful Generative AI solutions, we invite you to apply and contribute to our dynamic and forward-thinking organization. Accenture is an equal opportunities employer and welcomes applications from all sections of society and does not discriminate on grounds of race, religion or belief, ethnic or national origin, disability, age, citizenship, marital, domestic or civil partnership status, sexual orientation, gender identity, or any other basis as protected by applicable law.

Entity :- Accenture Strategy Consulting Team :- Strategy Consulting Global Network Practice :- Communications Media - AI Data Architectures Title :- IF Decision Sci Practitioner Consultant Job location :- Bangalore, Hyderabad About SC - Global Network:- Accenture Strategy Consulting Global Network - Data AI practice help our clients grow their business in entirely new ways. Analytics enables our clients to achieve high performance through insights from data - insights that inform better decisions and strengthen customer relationships. From strategy to execution, Accenture works with organizations to develop analytic capabilities - from accessing and reporting on data to predictive modelling - to outperform the competition. WHAT'S IN IT FOR YOU Accenture has committed to invest USD 3Billion into GenAI in the next 3 years. We will continually invest in your learning and growth. Youll work with Accenture's highly skilled and experienced practitioners, and Accenture will support you in growing your own career path and interests. You'll be part of a diverse, vibrant, global Accenture Data and AI community, continually pushing the boundaries of business capabilities. What you would do in this role ML Maturity Assessment: Conduct comprehensive assessments of the organizations ML maturity, identifying strengths, weaknesses, and areas for improvement. Provide strategic recommendations to enhance the overall ML capability and align it with business objectives. ML Ops Roadmap Processes: Develop ML Ops roadmaps and establish robust processes for the end-to-end machine learning lifecycle, including data preparation, model training, deployment, and monitoring. Implement best practices in ML Ops to ensure efficiency, scalability, and reliability of ML systems. Implementation of Gen AI Solutions: Lead the design and implementation of state-of-the-art Generative AI solutions, leveraging deep learning frameworks such as TensorFlow and PyTorch. Drive innovation in Gen AI, staying abreast of the latest advancements and incorporating cutting-edge technologies into solutions. Incubating and Designing: Proactively identify opportunities for ML and / or Gen AI applications within the organization. Work closely with cross-functional teams to incubate and design bespoke ML solutions tailored to business requirements. Technical Leadership: Provide technical leadership and mentorship to data scientists, engineers, and other team members. Collaborate with stakeholders to ensure alignment between technical solutions and business objectives. Collaboration and Communication: Collaborate with business stakeholders to understand their needs and translate them into ML and Gen AI requirements. Effectively communicate complex technical concepts to non-technical audiences. Qualifications Who we are looking for Bachelors or advanced degree in Computer Science, Data Science, or a related field. Over 8 years of hands-on experience in machine learning, with a focus on architecting end-to-end solutions. Proven expertise in conducting ML maturity assessments and developing ML Ops roadmaps. Hands-on experience in operationalizing the Machine learning system on a cloud and / or an On-Prem platform. Experience in implementing Generative AI solutions, including incubation, design, and deployment will be a big plus. Proficiency in deep learning frameworks such as TensorFlow and PyTorch. Good knowledge of ML Ops best practices and processes. Excellent problem-solving skills and ability to design scalable and reliable ML architectures. Strong leadership and communication skills, with a track record of leading successful ML initiatives. Experience in Telecom or Hi Tech or Software and platform industry desirable Tools Techniques: TensorFlow, PyTorch, Scikit-learn, Keras NumPy, Pandas Matplotlib, Seaborn TensorFlow Serving, Docker and Kubernetes Good software engineering practices, including code modularization, documentation, and testing. Experience with open API , Integration architecture , microservices If you are a visionary Machine Learning Architect with a passion for advancing ML maturity, implementing cutting-edge Gen AI solutions, and driving innovation, we invite you to apply and contribute to our organizations success. Accenture is an equal opportunities employer and welcomes applications from all sections of society and does not discriminate on grounds of race, religion or belief, ethnic or national origin, disability, age, citizenship, marital, domestic or civil partnership status, sexual orientation, gender identity, or any other basis as protected by applicable law.

As an Associate Data Scientist at IBM, you will work to solve business problems using leading edge and open-source tools such as Python, R, and TensorFlow, combined with IBM tools and our AI application suites. You will prepare, analyze, and understand data to deliver insight, predict emerging trends, and provide recommendations to stakeholders. In your role, you may be responsible for: Implementing and validating predictive and prescriptive models and creating and maintaining statistical models with a focus on big data & incorporating machine learning. techniques in your projects Writing programs to cleanse and integrate data in an efficient and reusable manner Working in an Agile, collaborative environment, partnering with other scientists, engineers, consultants and database administrators of all backgrounds and disciplines to bring analytical rigor and statistical methods to the challenges of predicting behaviors Communicating with internal and external clients to understand and define business needs and appropriate modelling techniques to provide analytical solutions. Evaluating modelling results and communicating the results to technical and non-technical audiences. 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

Hi Techies , Wishes from GSN !!! Pleasure connecting with you!!! We been into Corporate Search Services for Identifying & Bringing in Stellar Talented Professionals for our reputed IT / Non-IT clients in India. We have been successfully providing results to various potential needs of our clients for the last 20 years. At present, GSN is hiring PYTHON DEVELOPERs for one of our leading MNC client. PFB the details for your better understanding : 1. WORK LOCATION : Chennai 2. Job Role: Python Developer 3. EXPERIENCE : 5+ yrs 4. CTC Range: 15 LPA - 25 LPA 5. Work Type : WFO ( All 5 Days ) ****** Looking for SHORT JOINERs ****** Job Description : Experience as a Python Developer with a strong portfolio of projects. Knowledge in popular Python frameworks such as Django/Flask etc Experience in creating & maintaining APIs Good working understanding of cloud platforms specifically Azure. Working Knowledge about various Azure components like Blob , Azure functions , App service, App insights ,Azure data factory etc. Working knowledge of data analytics using Azure Databricks .Schedule & orchestrate workloads using Databricks Familiarity with Azure SQL database & SQL Alchemy Good problem-solving ability with solid communication and collaboration skills. Familiar working with an agile team & Agile practices Unit testing frameworks like pytest /unit test ****** Looking for SHORT JOINERs ****** Click APPLY ONLINE for IMMEDIATE response. Thanks & Regards, REVATHY B GSN Consulting Email: revathy@gsnhr.net Mob: 9244912300 Web: www.gsnhr.net Google Review : https://g.co/kgs/UAsF9W

Role & responsibilities : Key Result Areas 1. Implementation of Actionable Analytics Program in close coordination with the functional stakeholders Getting sponsorship from leadership and senior management on specific analytics initiatives and report progress on a regular basis Cross-functional coordination for driving business intervention with various teams incl. IT. Digital, Marketing and respective stakeholders. Drive Establish processes and manage development of infrastructure (e.g. IT, Marketing) to support analytics program Validate statistical models, implementation and actionable and improve efficacy and efficiency of analytics program 2. Revenue enhancement initiatives Increasing conversion through Better customer segmentation, targeting and Response modelling and campaign design New target opportunities including social listening Increasing cross-sell / upsell through Marketing (Upsell/ Cross-sell) of health insurance to Distributors customers to increase conversion rates Wellness & lifestyle partner up-sell/ cross-sell Cross-sell Wellness products to existing health insurance customers Increase Customer Retention Maximize renewal collection and reducing lapse rate 3. Cost and Claims optimization initiatives Cost reduction incl. optimization of campaigns Risk reduction including Claims adjudication and UW and claims/loss fraud investigation Optimization of model on a frequent basis 4. Increasing customer engagement loyalty initiatives Designing strategies to get low engagement clients to engage more. Maintain Planned spends across partners 5. Building data marts and models for Revenue enhancement and claims /cost initiatives Increasing cross-sell / upsell and Increase Customer Retention Risk reduction including Claims adjudication and UW and claims/loss fraud investigation Health risk reduction analytics 6. Resource Management and Develop individual and team competence to achieve overall effectiveness . Ensure elaborate functional knowledge sharing and extensive training to have a well-motivated and effective team who can provide high quality support and innovative solutions.

About The Role : Intel's Yield team is responsible for improving products' yields in products' development phase, as well as in mass production. To optimize yields the team uses advanced tools to analyze big data, find signals and define debug activities to resolve issues. The team is looking for an experienced and motivated engineer to build a system that supports the Yield improvement activities. Qualifications CGPA 3.4/8.5/85% and above The candidate must have a Bachelor's degree in Electrical Computer Engineering Computer Science or a closely related field of study and 2+ years of experience OR a Master's degree in Electrical Computer Engineering Computer Science or a closely related field of study and 2+ years of experience Highly skilled and motivated Software Engineer with at least 2 years of experience with coding Experience in working on a software project as part of a software team Experience in Python and Pandas Self-learner Excellent interpersonal relationship Experience in Machine Learning Experience in databases and data engineering Understanding of data analysis concepts Inside this Business Group Manufacturing and Product Engineering (MPE) is responsible for test development across product segments, supporting 95% of Intel's revenue. We deliver comprehensive pre-production test suites and component/physical debug capabilities to enable high quality, high volume manufacturing. Other Locations IN, Bangalore

Python Developer with a strong foundation in AI, data analytics, and proficiency in using Pandas, Spark, and REST APIs. 2 -7 years of experience and a passion for developing robust and scalable data solutions and keen to work from the office.

Responsibilities As a Big Data Engineer, you will develop, maintain, evaluate, and test big data solutions. You will be involved in data engineering activities like creating pipelines/workflows for Source to Target and implementing solutions that tackle the clients needs. Your primary responsibilities include: Design, build, optimize and support new and existing data models and ETL processes based on our clients business requirements. Build, deploy and manage data infrastructure that can adequately handle the needs of a rapidly growing data driven organization. Coordinate data access and security to enable data scientists and analysts to easily access to data whenever they need too Required education Bachelor's Degree Preferred education Master's Degree Required technical and professional expertise Strong proficiency in Python:Expertise in Python programming with a focus on data processing and manipulation. 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. SQL Proficiency:Experience writing optimized SQL queries for large-scale data analysis and transformation. Data Processing Frameworks:Knowledge of data processing libraries such as Pandas, NumPy, and Dask. Cloud Platforms:Experience working with cloud platforms like AWS, Azure, or GCP, including using cloud storage systems Preferred technical and professional experience Understanding of Devops. Experience in building scalable end-to-end data ingestion and processing solutions Experience with object-oriented and/or functional programming languages, such as Python, Java and Scala

Cogent Soft Solution 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.

Machine Learning Algorithms (Regression, Classification, Clustering, etc.) Deep Learning (Neural Networks, CNNs, RNNs, Transformers) Natural Language Processing (NLP) (Tokenization, Named Entity Recognition, Sentiment Analysis). Required Candidate profile Generative AI & LLMs (GPT, BERT, LLaMA, Falcon, Claude) Computer Vision (Object Detection, Image Classification, GANs) Email id - archana.kumari@skill-mine.com Contact no. - 9513073111

1. Solve technical problem related to fitment and assembly activities. 2. Coordinate with Q.A, Machine Shop, PM&PS, TOP, P&A, Testfield, Store and Fabrication for day to day activities. 3. Co-ordinate with Testfield, PM&PS, TOP for trimming details. 4. Adaptation of RCA,8D tools to resolve deviations. 5. Ensure micro planning of all activities through two shift working from issue of material to dispatch of the pumps. 6. Follow up for shortages with Purchase and MRP. 7. Plan and co-ordinate with contractor and testfield team for work related to Test Field Set Up. 8. Ensure system related work and Coordination of sub contract activities of painting, balancing and assembly related activities. 9. Arrange material from stores against MIN and loan slip if required etc. 10. Implement ISO 9001, EMS,OHSAS and 5S at assembly. 11. Ensure Notification closure. 12. Work on Man-Matrix calculation. 13. Plan and Execute development pumps related activities. 14. Co-ordinate with Contract Dept.for raising the inspection call for witness activity. 15. Work on project to improve efficiency of fitters and reduction in Idle Time, General Work and Additional timing. 16. Ensure active Participation for LEAN and Digitization projects.

Hi Techies , Wishes from GSN!!! Pleasure connecting with you!!! We been into Corporate Search Services for Identifying & Bringing in Stellar Talented Professionals for our reputed IT / Non-IT clients in India. We have been successfully providing results to various potential needs of our clients for the last 20 years. At present, GSN is hiring PYTHON DEVELOPERs for one of our leading MNC client. PFB the details for your better understanding : 1. WORK LOCATION : Bangalore / Mumbai / Gurgaon 2. Job Role: Lead Developer 3. EXPERIENCE : 5+ yrs 4. CTC Range: Rs. 20 LPA to Rs. 30 LPA 5. Work Type : WFO Hybrid ****** Looking for SHORT JOINERs ****** Job Description : Executes software solutions, design, development, and technical troubleshooting with ability to think beyond routine or conventional approaches to build solutions or break down technical problems Creates secure and high-quality production code and maintains algorithms that run synchronously with appropriate systems Produces architecture and design artifacts for complex applications while being accountable for ensuring design constraints are met by software code development Gathers, analyzes, synthesizes and develops visualizations and reporting from large, diverse data sets in service of continuous improvement of software applications and systems Proactively identifies hidden problems and patterns in data and uses these insights to drive improvements to coding hygiene and system architecture Required Skills : Proficient in PYTHON CODING is MUST. Strong EXP in PYTHON concepts like decorators, generators, threading, multi-processing, contexts, mocking, dictionaries, GIL etc. In-depth understanding of the Python software development stacks, ecosystems, frameworks and tools. EXP with ANY popular Python frameworks such as Numpy, Pandas, Django, Flask or Pyramid Hands-on practical EXP in system design, application development, testing and operational stability EXP in developing, debugging and maintaining code in a large corporate environment with database querying languages. Demonstrated knowledge of software applications and technical processes within a technical discipline (e.g., cloud, artificial intelligence, machine learning, mobile etc.) Strong EXP in RESTFUL APIs (or) FASTAPIs. Knowledge or hands-on EXP in ant CLOUD platforms such as AWS, AZURE or GCP . ****** Looking for SHORT JOINERs ****** Click APPLY ONLINE for IMMEDIATE response. Best Regards, GSN HR | www.gsnhr.net | Google review : https://g.co/kgs/UAsF9W

The role of a machine learning professional involves applying machine learning techniques and algorithms to solve complex problems, analyze data, and develop intelligent systems. Job Description - Grade Specific The primary responsibilities revolve around assisting in the development, implementation, and deployment of machine learning models and systems

Responsibilities As a Big Data Engineer, you will develop, maintain, evaluate, and test big data solutions. You will be involved in data engineering activities like creating pipelines/workflows for Source to Target and implementing solutions that tackle the clients needs. Your primary responsibilities include: Design, build, optimize and support new and existing data models and ETL processes based on our clients business requirements. Build, deploy and manage data infrastructure that can adequately handle the needs of a rapidly growing data driven organization. Coordinate data access and security to enable data scientists and analysts to easily access to data whenever they need too Required education Bachelor's Degree Preferred education Master's Degree Required technical and professional expertise Strong proficiency in Python:Expertise in Python programming with a focus on data processing and manipulation. 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. SQL Proficiency:Experience writing optimized SQL queries for large-scale data analysis and transformation. Data Processing Frameworks:Knowledge of data processing libraries such as Pandas, NumPy, and Dask Preferred technical and professional experience Understanding of Devops. Experience in building scalable end-to-end data ingestion and processing solutions Experience with object-oriented and/or functional programming languages, such as Python, Java and Scala

Project Role : AI / ML Engineer Project Role Description : Develops applications and systems that utilize AI to improve performance and efficiency, including but not limited to deep learning, neural networks, chatbots, natural language processing. Must have skills : Machine Learning Operations Good to have skills : NA Minimum 7.5 year(s) of experience is required Educational Qualification : BE Summary :As an AI/ML Engineer, you will be responsible for developing applications and systems that utilize AI to improve performance and efficiency. Your typical day will involve working with deep learning, neural networks, chatbots, and natural language processing to deliver impactful data-driven solutions. Roles & Responsibilities: Tracking of multiple models, experiments for auditing purpose Collaborate with data scientists for hyper parameter tuning and features maintenance. Model management and versioning Work with infra team, data scientists, business in establishing artifact lineage, model registry, governance. Assist in testing, automated deployment A pipeline for triggering retraining to detect model drift or data drift, trigger retraining. Working knowledge of AWS Lambda, Sagemaker, AWS Step Functions Professional & Technical Skills: Must To Have Skills:Strong experience in Machine Learning Operations. Must To Have Skills:Proficiency in Python and related libraries such as NumPy, Pandas, and Scikit-learn. Must To Have Skills:Experience with deep learning, neural networks, chatbots, and natural language processing. Creation of CI,CD Pipelines for ML algorithms, training, prediction pipelines Work with business, data scientists to ensure value realization, ROI on operationalization of models Containerization, packaging of ML models Endpoint creation for prediction Solid understanding of statistical analysis and machine learning algorithms. Experience with programming languages such as Python, R, and Java. Experience with machine learning frameworks such as TensorFlow, Keras, and PyTorch. Experience with data visualization tools such as Tableau or Power BI. Experience with cloud platforms such as AWS, Azure, or Google Cloud Platform. Experience with software development methodologies such as Agile or Scrum. Additional Information: The candidate should have a minimum of 3 years of experience in Machine Learning Operations. The ideal candidate will possess a strong educational background in computer science, mathematics, or a related field, along with a proven track record of delivering impactful data-driven solutions. Qualifications BE

We are seeking a skilled Python Developer to join our dynamic team in Pune. The ideal candidate will have 2-4 years of professional experience and demonstrate expertise in Python development, frameworks, and associated tools.

Looking for a highly motivated, self-driven AI Experienced Data Scientist for building differentiating solutions and for implementing AI and Generative AI (Gen AI) based solutions for customer's business problems. As an AI Solution Engineer , build AI and Gen AI empowered practical in-depth solutions for solving customers business problems. As an AI and Data Solution Engineer , design and implement Cloud Data, AI, and Gen AI based solutions , including LLM-powered systems, for customer programs. Apply statistics, modeling, LLMs , and machine learning to improve the efficiency of systems and relevance algorithms across our business application products. Requirements Bachelors degree or Masters degree in Computer Science / AIML / Data Science. 4 to 6 years of overall experience and hands-on experience with the design and implementation of Machine Learning models, Deep Learning models, and Gen AI models (e.g., GPT, LLaMA, Mistral) for solving business problems. Proven experience working with Generative AI technologies , including prompt engineering, fine-tuning large language models (LLMs), embeddings, vector databases (e.g., FAISS, Pinecone), and Retrieval-Augmented Generation (RAG) systems. Expertise in R, Python (NumPy, Scikit-learn, Pandas), TensorFlow, PyTorch, transformers (e.g., Hugging Face) , or MLlib. Expertise in cloud-based data and AI solution design and implementation using GCP / AWS / Azure , including the use of their Gen AI services. Good experience in building complex and scalable ML and Gen AI solutions and deploying them into production environments. Experience with scripting in SQL, extracting large datasets, and designing ETL flows. Excellent problem-solving and analytical skills with the ability to translate business requirements into data science and Gen AI solutions. Effective communication skills, with the ability to convey complex technical concepts to both technical and non-technical stakeholders.

Wipro Limited (NYSEWIT, BSE507685, NSEWIPRO) is a leading technology services and consulting company focused on building innovative solutions that address clients’ most complex digital transformation needs. Leveraging our holistic portfolio of capabilities in consulting, design, engineering, and operations, we help clients realize their boldest ambitions and build future-ready, sustainable businesses. With over 230,000 employees and business partners across 65 countries, we deliver on the promise of helping our customers, colleagues, and communities thrive in an ever-changing world. For additional information, visit us at www.wipro.com. About The Role Role Purpose The Requirement Name / TitlePython Developer/Lead - P1 Mandatory Skills: Python, NumPy, Pandas, Rest API Preferred Skills: Strong in Data Engineering and Analysis, SQL Server (Complex SQL) About The Role / Roles & Responsibilities (in Detail) This is hands on role. The role will involve design, coding, testing, working with product owners / scrum master for scrum planning, estimation, demos & leading / guiding junior developers as needed. Good in writing Python code. Hands-on experience with pandas and numpy stack Able to perform data cleanup. Summarization using NumPy/pandas. SQL knowledge is Essential Must have expertise in Rest API development Cloud experience is preferred (Azure). Uses pertinent data and facts to identify and solve a range of problems within area of expertise Investigates non- standard requests and problems, with some assistance from others. Experience Level – 5 to 9 Years relevant experience ? Do Oversee and support process by reviewing daily transactions on performance parameters Review performance dashboard and the scores for the team Support the team in improving performance parameters by providing technical support and process guidance Record, track, and document all queries received, problem-solving steps taken and total successful and unsuccessful resolutions Ensure standard processes and procedures are followed to resolve all client queries Resolve client queries as per the SLA’s defined in the contract Develop understanding of process/ product for the team members to facilitate better client interaction and troubleshooting Document and analyze call logs to spot most occurring trends to prevent future problems Identify red flags and escalate serious client issues to Team leader in cases of untimely resolution Ensure all product information and disclosures are given to clients before and after the call/email requests Avoids legal challenges by monitoring compliance with service agreements ? Handle technical escalations through effective diagnosis and troubleshooting of client queries Manage and resolve technical roadblocks/ escalations as per SLA and quality requirements If unable to resolve the issues, timely escalate the issues to TA & SES Provide product support and resolution to clients by performing a question diagnosis while guiding users through step-by-step solutions Troubleshoot all client queries in a user-friendly, courteous and professional manner Offer alternative solutions to clients (where appropriate) with the objective of retaining customers’ and clients’ business Organize ideas and effectively communicate oral messages appropriate to listeners and situations Follow up and make scheduled call backs to customers to record feedback and ensure compliance to contract SLA’s ? Build people capability to ensure operational excellence and maintain superior customer service levels of the existing account/client Mentor and guide Production Specialists on improving technical knowledge Collate trainings to be conducted as triage to bridge the skill gaps identified through interviews with the Production Specialist Develop and conduct trainings (Triages) within products for production specialist as per target Inform client about the triages being conducted Undertake product trainings to stay current with product features, changes and updates Enroll in product specific and any other trainings per client requirements/recommendations Identify and document most common problems and recommend appropriate resolutions to the team Update job knowledge by participating in self learning opportunities and maintaining personal networks ? Deliver NoPerformance ParameterMeasure1ProcessNo. of cases resolved per day, compliance to process and quality standards, meeting process level SLAs, Pulse score, Customer feedback, NSAT/ ESAT2Team ManagementProductivity, efficiency, absenteeism3Capability developmentTriages completed, Technical Test performance Reinvent your world. We are building a modern Wipro. We are an end-to-end digital transformation partner with the boldest ambitions. To realize them, we need people inspired by reinvention. Of yourself, your career, and your skills. We want to see the constant evolution of our business and our industry. It has always been in our DNA - as the world around us changes, so do we. Join a business powered by purpose and a place that empowers you to design your own reinvention. Come to Wipro. Realize your ambitions. Applications from people with disabilities are explicitly welcome.

Design and develop backend services using Python (Django/Flask/Fast API). Build responsive and user-friendly front-end interfaces using React.js/Angular/Vue.js. Integrate front-end and back-end components into a seamless application.