1583 Pandas Jobs - Page 37

Responsibilities: Design, develop & maintain AI/ML models using Python, AWS & OpenCV. Collaborate with cross-functional teams on NLP projects. Optimize performance through data analysis with Pandas & Scikit-Learn. Health insurance Annual bonus

We are looking for an experienced Senior Data Scientist to join our analytics team and lead high-impact projects. This role requires a deep understanding of statistical analysis, machine learning, and data-driven strategy, with a focus on developing and delivering innovative analytics solutions to meet complex business needs. The ideal candidate will have extensive hands-on experience, strong technical skills, and proven leadership capabilities to guide a team of data scientists and machine learning engineers. Key Responsibilities: Statistical Analysis & Use Case Identification: Utilize advanced statistical techniques to analyze large datasets, uncovering trends and patterns that support data-driven decision-making. Identify and define use cases to support business strategies, using insights from data to generate value and guide strategic direction. Data Analytics Maturity Assessment: Assess the organizations data analytics maturity, utilizing descriptive data analysis to evaluate current capabilities. Develop and propose use cases for advanced analytics, including diagnostic, predictive, and prescriptive models to enhance data utilization. Technical Expertise: Apply hands-on expertise in Python and data science, employing a variety of machine learning algorithms for tasks like regression, classification, natural language processing (NLP), and operational research. Implement, optimize, and maintain complex models, ensuring they are scalable and effective. Advanced Machine Learning: Leverage experience with large language models (LLMs) and Retrieval-Augmented Generation (RAG) models to build sophisticated applications, including chatbots and other NLP-based solutions. Communication & Presentation: Demonstrate excellent communication skills to convey complex analytics insights to stakeholders. Lead customer meetings, presenting analytical findings and recommending actionable, data-driven solutions. Solution Development: Develop solutions aligned with business objectives by translating business requirements into impactful, data-driven solutions. Foster a solution-oriented mindset within the team, focusing on delivering analytics solutions that enhance decision-making and drive value. Team Management: Lead a team of data scientists and machine learning engineers, providing mentorship, technical guidance, and project oversight. Ensure alignment of team projects with business goals, maintaining a focus on quality and timely delivery. Experience: At least 5-7 years of hands-on experience in data science, machine learning, and statistical analysis. Proven track record in managing and mentoring a team of data scientists and engineers. Extensive experience with Python and essential libraries (e.g., Pandas, NumPy, Scikit-Learn, TensorFlow, PyTorch). Skills: Strong knowledge of machine learning techniques, including regression, classification, NLP, and operational research. Experience with deep learning, LLMs, and RAG models for advanced applications like chatbot development is highly desirable. Exceptional problem-solving skills, with an emphasis on delivering actionable business insights. Excellent communication, presentation, and interpersonal skills. Ability to work both independently and collaboratively in a fast-paced, dynamic environment.

We're Hiring: Jr. Algorithm Engineer (Remote | Full-Time / Internship) Are you a recent graduate or an early-career professional passionate about algorithms, Python, and solving real-world problems through code? Were looking for a Jr. Algorithm Engineer to join our team remotely. This is a great opportunity to work on meaningful projects while learning from experienced engineers. What Were Looking For: Strong understanding of Python & C# syntax, file handling, data types Basics of OOP , familiarity with libraries like NumPy, Pandas, Flask, Matplotlib Knowledge of databases (SQLite, PostgreSQL) Comfort with Git/GitHub , and IDEs like Visual Studio or PyCharm Excellent mathematical aptitude , logical reasoning , and algorithmic thinking Eligibility: Science & Tech graduates/postgraduates (excluding business/management backgrounds) 02 years of experience Interns & short-term candidates (min. 4 hours/day) are welcome NOC required for student applicants Engagement: Full-time with an initial assessment period (up to 3 months) Internships available for exceptional learners 100% remote If youre eager to grow, solve problems, and build smart systems — we want to hear from you! To apply, send your resume to hr@vectraglobal.com with the subject: Application – Jr. Algorithm Engineer Let’s build the future together. #Hiring #AlgorithmEngineer #RemoteJobs #PythonJobs #EntryLevelJobs #EngineeringCareers #InternshipOpportunity #CSharp #TechJobs

We are seeking a highly skilled and innovative Data Scientist with a strong focus on Generative AI, NLP, and Large Language Models (LLMs). The ideal candidate will design, develop, and deploy end-to-end data science solutions that harness the power of advanced ML, deep learning, and Gen AI technologies to drive real-world impact. Key Responsibilities: Design and implement scalable data science solutions using Generative AI, NLP, and ML techniques. Develop, fine-tune, and evaluate Large Language Models (LLMs) such as GPT, BERT, and similar architectures. Analyze structured and unstructured data to generate actionable insights for business problems. Collaborate cross-functionally with engineering, product, and business teams to integrate AI models into production systems. Conduct cutting-edge research in Gen AI and deep learning; evaluate and apply recent advancements. Build and maintain robust pipelines for model training, evaluation, monitoring, and deployment. Communicate complex technical findings clearly to technical and non-technical stakeholders. Required Skills & Qualifications: Strong hands-on experience with Generative AI, LLMs (e.g., OpenAI, Hugging Face Transformers, etc.). Proven expertise in core NLP tasks: text classification, summarization, named entity recognition, sentiment analysis, etc. Proficient in Python and related libraries: NumPy, Pandas, Scikit-learn, TensorFlow, PyTorch. Experience developing, validating, and deploying ML models in production environments. Familiarity with vector databases (e.g., FAISS, Pinecone), embeddings, and semantic search. Exposure to cloud platforms like AWS, Azure, or GCP, and MLOps tools/workflows (CI/CD, model monitoring, etc.). Preferred Qualifications: Experience in prompt engineering, Retrieval-Augmented Generation (RAG), or fine-tuning/customizing LLMs. Contributions to AI research papers, open-source projects, or participation in ML competitions (e.g., Kaggle) is a plus. Knowledge of responsible AI practices, model interpretability, and bias mitigation techniques.

Role & responsibilities Job Description: python, devops, sql, Senior or Lead Developer or a Technical lead or Senior AWS Python developer. Need to have hands on experience coding or developing, prefer someone who has leading experience as this role would need someone who could handle a team and also do hands on coding/development, if not Senior candidate will also do. Candidate with hands on Python, Pandas, RPA would be ideal for this role. We would also consider candidate with Python and Pandas, and knowledge with RPA, or less idea about RPA, as RPA is secondary/preferred. Preferred candidate profile python, devops, sql

Sr.Analyst Instructional Designer (Tech Content Strategist) – AI/ML Job Overview Are you a certified AI/ML professional with a creative flair and a passion for content design? Join us to create impactful, learner-centered content that blends real-world expertise with engaging storytelling. As a principal – Tech Content Strategist, you will lead the end-to-end development of engaging, instructionally sound learning experiences in the AI/ML domain. Acting as a subject matter expert (SME), you’ll translate complex frameworks into clear, outcome-focused content across digital formats. This role demands strong instructional design expertise, a deep understanding of learner needs, and the ability to creatively script and plan high-impact learning assets—from video courses to assessments. Job Responsibilities Own the content development lifecycle—plan, research, script, storyboard review, strategic video review and iterate—for AI/ML Design creative and effective learning experiences grounded in instructional design principles, addressing diverse learner personas and real-world scenarios. Author and script engaging digital content, including on-demand videos, interactive walkthroughs/lessons, assessments, and job aids. Collaborate with visual designers, editors, and technical experts to bring content to life in a compelling and accessible format. Align content with industry certification frameworks (e.g., Azure, CompTIA, AWS Certified, Microsoft Certified) and learner performance outcomes. Apply learner-centered design by identifying learning gaps and tailoring content that improves retention, engagement, and job readiness. Utilize Generative AI tools to accelerate and enhance content ideation, scripting, and personalization while maintaining content quality. Ensure instructional consistency, voice, and quality across all course deliverables and formats. Optionally support bootcamps (virtual training delivery) and mentor junior content developers. Skills Required Minimum 5+ years of hands-on experience in AI/ML, including practical exposure to Generative AI. Demonstrated experience in instructional design, especially in developing digital learning products from concept to delivery. Excellent scripting, writing, and communication skills; able to distill complex concepts into concise, engaging narratives. Strong creativity and storytelling ability with an understanding of how to structure content for different learning styles. Fluency with and experience in programming such as Python and SQL. Fluency and experience with AI/ML libraries such as NumPy, Pandas, Sci-kit Learn, HuggingFace, and Langchain. Experience working with AI/ML technology and topics such as Agents, LLMs, OpenAI, Claude, Gemini, Copilot, and Deep Learning. Preferred/Additional Skills: Relevant certifications in AI. Familiarity with Generative AI tools like ChatGPT, Claude, or similar for content creation and enhancement. Training delivery experience (live/ virtual/ hybrid formats) is an added advantage. Understanding of instructional design models such as ADDIE, SAM, or Bloom’s Taxonomy. Experience in analyzing learner feedback and improving content based on performance and engagement data.

Role & responsibilities solid understanding and practical experience with relevant frameworks and concepts, including but not limited to: Data manipulation and analysis libraries (Pandas, Polars) Demonstrated professional experience with SQL and relational databases Familiarity with CI/CD tools (e.g., Jenkins, GitLab runners) and Linux operating systems is considered a significant plus Experience in financial markets or trading systems is a valuable asset A positive, results-oriented attitude with a strong commitment to teamwork and code quality Excellent verbal and written communication skills in Englishred candidate profile

We are seeking a talented Python Developer with expertise in Pandas for application development to join our dynamic team. As a Python Developer, you will play a crucial role in designing and developing applications that leverage data analysis and processing capabilities. You will collaborate with cross-functional teams to deliver high-quality solutions that meet our clients' needs. Key Responsibilities Develop, maintain, and enhance Python applications using the Pandas library for data manipulation and analysis. Work closely with data scientists and business analysts to understand requirements and translate them into technical specifications. Design and implement efficient data processing pipelines to handle large datasets. Conduct code reviews and provide constructive feedback to ensure code quality and best practices. Optimize application performance by profiling and refactoring code. Collaborate with team members in an Agile environment to deliver projects on time. Write unit tests and maintain comprehensive documentation for applications. Stay updated with the latest trends and technologies in Python and data analysis. Qualifications. Bachelors degree in Computer Science, Engineering, or a related field. Proven experience as a Python Developer, with a strong focus on using Pandas for data analysis and application development. Proficiency in developing applications using Python frameworks (e.g., Flask, Django) is a plus. Solid understanding of data structures, algorithms, and software design principles. Familiarity with database systems (SQL and NoSQL) and data modeling concepts. Experience with version control systems, such as Git. Strong problem-solving skills and the ability to work independently as well as in a team environment. Excellent communication skills, with the ability to articulate technical concepts to non-technical stakeholders.

EMS Developer [Exposure to Python Scripting] having 5 - 7 yrs3 Skill - EMS Developer [Python Scripting] Experience - 5 - 7 years Must-HaveAdvanced Python, Must have hands-on pandas library, some basic knowledge on cloud services. Writing efficient, reusable, testable, and scalable code. Good hands on scripting experienceUnderstanding, analyzing, and implementing Business needs, feature modification requests, conversion into software components.Integration of user-oriented elements into different applications, and data storage solutions.Planning, Designing, and Developing High availability and low latency applications, data protection, and security features.Ability to write highly efficient reusable code.Enhancing the functionalities of current software systems.Keeping abreast with the latest technology and trends.Design principles that are executable for a scalable app.Multi-process and multi-thread architecture.Performance tuning and automation of application.Testing and debugging software applications with Python test framework toolsComing up with digital tools for online traffic monitoring.Ability to integrate databases and various data sources into a unified system.

Design implement Python AI/ML/Gen AI models algorithms &app Coordinate data scientists to translate their ideas into working solutions Apply ML techniques to explore & analyze data patterns insights Supp deployment of models to production env Required Candidate profile Strong proficiency in Python including libraries Exp with machine learning algorithms & tech Understanding of AI concepts neural networks Exp with one of the cloud platforms cloud-based machine Perks and benefits 10% additional variable on top of fixed +mediclaim

Diverse Lynx 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.

New or Never Normal Job Title: Internal Audit Team Member Corporate Grade: CA fresher’s Kotak Overview Kotak Mahindra Bank Limited is an Indian banking and financial services company headquartered in Mumbai, India. It offers banking products and financial services for corporate and retail customers in the areas of personal finance, investment banking, life insurance, and wealth management. At Kotak, we expect more from ourselves, than what anyone else expects of us. This way, we are creating a rewarding and delightful experience every day for our customers. We are an equal opportunity employer and we are opposed to discrimination on any grounds. Overall purpose of role As Kotak Internal Audit Member, you will be a part of Kotak Internal Audit Department (IAD) which aims to provide independent, reliable, valued, insightful and timely assurance to the Board and executive management thus demonstrating a role of an ENABLER . This is achieved by looking at the effectiveness of governance, risk/control framework over current and evolving risks, within the current and expected business environment and in accordance with the international standards definition of internal auditing. Kotak IAD is a 200+ member department spread across 5 locations (Mumbai, Ahmedabad, Bangalore, Chennai and Delhi) which is set up to perform Internal Audits for KMBL (Kotak Mahindra Bank Limited) Flagship Company of the Kotak group. A one-stop shop. 4 Strategic Business Units - Consumer Banking, Corporate Banking (Wholesale Banking), Commercial Banking, Treasury. Key Accountabilities Executing the delivery of the Kotak IAD’s Audit plan for the calendar year. To assist the Team Supervisor / Team Lead on assigned audit work of KMBL Businesses & Processes. This will entail working on the audit to deliver the Audit Planning Memo, Controls Document, agree issues & action plans with management and submission of draft report to the Team Supervisor. Demonstrate sound knowledge of both business/technical areas and expert knowledge in the audit process, including the IA systems, to ensure that audit work is carried out with a high standard that meets all methodologies. Demonstrate sound knowledge of regulations governing the bank (RBI, IRDA, SEBI, FEMA, FIMMDA, FEDAI, FATCA, NDS-OM, etc.) Conducts reviews to understand end-to-end process, evaluate and highlight key control deficiencies, analyse root cause and discuss / agree with management for effective and timely remediation plans. Manage individual workflow to ensure timely report deliveries with quality articulation of audit queries Writing high quality audit reports. To embrace and demonstrate effective Audit report writing & presentation skills from E2E perspective (Planning, Execution, Discussion, Clarification, Finalisation, Documentation into system etc.) Endeavouring to update awareness of risk issues and changes across relevant business units and use this knowledge to update the audit approach. Driving and leading discussions with relevant stakeholders regarding audit observations, consulting with IAD team supervisors / Team Leads. Decision-making and Problem Solving Take into account reputation of Kotak at all times, through positive interactions and adhering to policies, procedures and manuals. Set an example and supports fair and ethical behaviour. Make sure you are equipped to be able to protect our reputation at all times. Challenge others where appropriate, if you believe self to be correct. Endeavour to be part in decision making on a broad range of factors, with Kotak’s values at heart - Always Responsible, Always Accountable. Risk and Control Objective [This section is mandatory for all role profiles] Ensure that all activities and duties are carried out in full compliance with regulatory requirements, Enterprise Wide Risk Management Framework and internal Kotak’s Policies and Standards. Person Specification Personal attributes essential to performing role including competencies, expertise, knowledge, and experience. Noteexperience requirements must not be in the form of years (minimum or otherwise). Essential Skills/Basic & Preferred Qualifications: Understanding of Banking Business their products and processes. Person who can work alone, close audits and manage stakeholders Relevant professional qualifications e.g. CA/CMA, CISA, CIA, (Bachelor’s degree mandatory). A Bachelor’s degree in Commerce (preferably) holder with at least3-5 years of experiencein internal audit of a financial institution and/or relevant experience in the following areas: Experience in a BFSI or Finance processes, including audit. Understanding of relevant regulatory environment would be an added advantage. Experience in data analytics and/or exposure to data science/machine learning techniques would be an added advantage.

About the Role: We are looking for someone who is passionate about writing clean, high-performance code and is excited by data-driven applications. The ideal candidate will bring strong expertise in Python and modern data processing libraries, with a proven track record of building and scaling backend systems. This role is perfect for someone who is proactive, quick to learn, and thrives in a fast-paced environment. Key Responsibilities: Design, develop, and maintain backend systems and APIs using Python and FastAPI. Work with data-centric libraries like pandas , polars , and numpy to build scalable data pipelines and services. Implement and manage asynchronous task scheduling using FastAPI schedulers or similar tools. Contribute to architectural decisions and mentor junior developers. Participate in code reviews, testing, and good at troubleshooting. Work closely with data teams and business stakeholders to understand requirements and deliver effective solutions. Continuously learn and adapt to new technologies and best practices. Must-Have Qualifications: 6 Plus years years of professional experience with Python . Proficient in pandas , polars , and numpy . Strong experience building APIs with FastAPI or similar frameworks. Hands-on experience with task scheduling and background job management . Excellent problem-solving and communication skills. A passion for learning and the ability to pick up new technologies quickly. Good to Have: Experience with C# in enterprise environments. Strong knowledge of SQL and experience with relational databases (e.g., PostgreSQL, SQL Server). Familiarity with Docker, data versioning, job orchestration tools, or cloud platforms.

Great opportunity for freshers passionate about AI/ML and cybersecurity to work on real-world problems like traffic analysis, malware, and anomaly detection, supporting AI/ML models for NDR and Forensics solutions.

Job Title - S&C GN AI - Insurance Decision Scientist- Analyst Management Level: 11-Analyst Location: Pune, PDC2C Must-have skills: Data Analysis Good to have skills: Ability to leverage design thinking, business process optimization, and stakeholder management skills. Job Summary : This role involves driving strategic initiatives, managing business transformations, and leveraging industry expertise to create value-driven solutions. Roles & Responsibilities: Provide strategic advisory services, conduct market research, and develop data-driven recommendations to enhance business performance. WHATS IN IT FOR YOU Accenture Global Network is a unified powerhouse that combines the capabilities of Strategy & Consulting with the force multipliers of Data and Artificial Intelligence. It is central to Accenture's future growth and Accenture is deeply invested in providing individuals with continuous opportunities for learning and growth. Youll be part of a diverse, vibrant, global community, continually pushing the boundaries of business capabilities. Accenture is also ranked 10th* on the 2023 Worlds Best Workplaces list, making it a great place to work. What you would do in this role Help the team architect, design, build, deploy, deliver, and monitor advanced analytics models for different insurance problems Collaborate with cross-functional global teams to understand complex business & engineering problems in insurance and translate them into data-driven solutions that deliver insights for action and operational improvements Consume data from multiple sources and present information in a crisp and digestible manner that delivers valuable insights to both technical and non-technical audiences Provide coaching to junior team-members on advanced analytical concepts Professional & Technical Skills: - Relevant experience in the required domain. - Strong analytical, problem-solving, and communication skills. - Ability to work in a fast-paced, dynamic environment. Who we are looking for 2-4 years of experience in data-driven techniques including exploratory data analysis and data pre-processing & machine learning to solve business problems for the Insurance Industry Bachelors degree in mathematics, statistics, economics, computer science or related fields Strong foundation in Statistical Modeling, Machine Learning algorithms including k-means clustering, linear & logistic regression, decision trees and others Proficiency in programming languages such as Python, SQL, PySpark with experience in data manipulation, statistical analysis, and machine learning libraries (e.g., pandas, scikit-learn, TensorFlow, PyTorch) Good communication and presentation skills to effectively convey complex data insights and recommendations to clients and stakeholders Prior experience in the Insurance industry is mandatory Additional Information: - Opportunity to work on innovative projects. - Career growth and leadership exposure. About Our Company | Accenture Qualification Experience: 3-5Years Educational Qualification: Any Degree

Project Role : Application Developer Project Role Description : Design, build and configure applications to meet business process and application requirements. Must have skills : Python (Programming Language) Good to have skills : NAMinimum 3 year(s) of experience is required Educational Qualification : 15 years full time education Summary :As an Application Developer, you will engage in the design, construction, and configuration of applications tailored to fulfill specific business processes and application requirements. Your typical day will involve collaborating with team members to understand project needs, developing innovative solutions, and ensuring that applications function seamlessly to support organizational goals. You will also participate in testing and debugging processes to enhance application performance and user experience, while continuously seeking opportunities for improvement and optimization in your work. Roles & Responsibilities:- Expected to perform independently and become an SME.- Required active participation/contribution in team discussions.- Contribute in providing solutions to work related problems.- Assist in the documentation of application specifications and user guides.- Engage in code reviews to ensure quality and adherence to best practices.- A Python resource with six years of experience typically holds a range of responsibilities that reflect their advanced skills and expertise.- Software Development:Designing, coding, and testing Python applications, ensuring high-quality and efficient code.- Framework Utilization:Leveraging popular frameworks such as Django or Flask to build robust web applications.- Database Management:Interacting with databases using ORM tools like SQLAlchemy, and ensuring data integrity and optimization.- Code Review and Mentorship:Conducting code reviews to maintain code quality and providing guidance to junior developers.- Collaboration:Working closely with cross-functional teams, including product managers and designers, to deliver comprehensive solutions.- Problem Solving:Analyzing and troubleshooting issues in existing applications, implementing effective solutions.- Documentation:Creating and maintaining technical documentation to facilitate knowledge sharing and onboarding processes.- Continuous Learning:Staying updated with the latest Python developments and best practices to enhance personal and team performance.- These responsibilities highlight the critical role that an experienced Python resource plays in driving successful software projects. Professional & Technical Skills: - The candidate should have minimum 3 years of experience in Python- Strong understanding of application development frameworks and methodologies.- Experience with version control systems such as Git.- Familiarity with database management and SQL.- Ability to troubleshoot and resolve application issues efficiently.- A professional with six years of experience in Python development possesses a robust skill set that includes proficiency in various frameworks such as Django and Flask, as well as expertise in data manipulation libraries like Pandas and NumPy. Demonstrate a strong understanding of object-oriented programming principles and are adept at writing clean, maintainable code. Experience in collaborating with cross-functional teams, showcasing excellent communication skills and the ability to translate complex technical concepts into understandable terms for stakeholders.- Problem-solving capabilities are complemented by a keen attention to detail, ensuring that projects are delivered on time and meet high-quality standards. Continuous learning, staying updated with the latest industry trends and best practices, which enhances their ability to contribute effectively to innovative projects.- Robust technical background, demonstrating proficiency in various aspects of Python programming. Adept at developing scalable applications, utilizing frameworks such as Django and Flask, and have a solid understanding of RESTful API design. Experience in version control systems like Git, enabling effective collaboration within development teams. Exposure to cloud services, such as AWS or Azure, enhancing their ability to deploy and manage applications in cloud environments. Their problem-solving skills and ability to write clean, maintainable code make them a valuable asset in any technical team. Additional Information:- This position is based at our Hyderabad office.- A 15 years full time education is required. Qualification 15 years full time education

Role & responsibilities B.Tech or M.Tech in Computer Science, or equivalent experience. 5+ years of experience working professionally as a Python Software Developer. Organized, self-directed, and resourceful. Excellent written and verbal communication skills. Expert in python & pandas. Experience in building data pipelines, ETL and ELT processes. Advanced working SQL experience working with relational databases, query authoring (SQL) and working familiarity with a variety of databases. Understanding of Docker and Data Orchestration tools. Experience with Jupyter notebooks.

Must Have: 1. Strong background in machine learning (unsupervised and supervised techniques) with significant experience in text analytics/NLP. 2. Excellent understanding of machine learning techniques and algorithms, such as k-NN, Naive Bayes, SVM, Decision Forests, logistic regression, MLPs, RNNs, etc. 3. Strong programming ability in Python with experience in the Python data science ecosystem: Pandas, NumPy, SciPy, scikit-learn, NLTK, etc. 4. Good knowledge of database query languages like SQL and experience with databases (PostgreSQL/MySQL/ Oracle/ MongoDB) 5. Excellent verbal and written communication skills, 6. Excellent analytical and problem-solving skills 7. Degree in Computer Science, Engineering or relevant field is preferred. 8. Proven Experience as Data Analyst or Data Scientist Good To Have: 1. Familiarity with Hive, Pig and Scala 2. Experience with Data Visualization Tools like matplotlib, plotly, seaborn, ggplot, etc 3. Experience with using cloud technologies on AWS/ Microsoft Azure "

We are looking for 5+years experienced candidates for this role. Job Description Strong knowledge of statistical modeling, machine learning, deep learning and GenAI. Proficiency in Python and experience optimizing code for performance. Experience with data preprocessing, feature engineering, data visualization and hyperparameter tuning. Solid understanding of database concepts and experience working with large datasets. Experience deploying and scaling machine learning models in a production environment. Familiarity with machine learning operations (MLOps) and related tools. Good understanding of Generative AI concepts and LLM finetuning. Excellent communication and collaboration skills. Bachelor's or Master's degree in a quantitative field such as statistics, mathematics, computer science, or a related area. Responsibilities include: Lead the development and deployment of machine learning/deep learning models to address key business challenges. Apply statistical modeling, data preprocessing, feature engineering, machine learning, and deep learning techniques to build and improve models. Have expertise in at least two of the following areas: computer vision, predictive analytics, natural language processing, time series analysis, recommendation systems. Expertise in GenAI models is a must. Design, implement, and optimize data pipelines for model training and deployment. Experience with any one of the model serving frameworks (e.g.,TensorFlow Serving, TorchServe, KServe, or similar). Design and implement APIs for model serving and integration with other systems. Collaborate with cross-functional teams to define project requirements, develop solutions, and communicate results. Mentor junior data scientists, providing guidance on technical skills and project execution. Stay up-to-date with the latest advancements in data science and machine learning, particularly in generative AI, and evaluate their potential applications. Communicate complex technical concepts and analytical findings to both technical and non-technical audiences. Primary Skills : Python Data Science concepts Generative AI Pandas, NumPy, Matplotlib Artificial Intelligence Statistical Modeling Machine Learning, Natural Language Processing (NLP), Deep Learning Model Serving Frameworks (e.g., TensorFlow Serving, TorchServe) MLOps(e.g; MLflow, Tensorboard, Kubeflow etc) Computer Vision Predictive Analytics Time Series Analysis Anomaly Detection Recommendation Systems SQL Proficent in any of Cloud Computing Platforms (e.g., AWS, Azure, GCP)

Were looking for a skilled Python Developer with strong hands-on experience integrating and working with modern Large Language Models (LLMs) such as OpenAI , Claude , Amazon Titan , Gemini , and others. The ideal candidate will have deep experience in building, deploying, and fine-tuning LLM-powered features into real-world applications. This is a high-impact role for someone passionate about applying generative AI and LLMs to solve complex business problems. Role & responsibilities Design and develop Python-based APIs, scripts, and services that interact with LLMs like OpenAI GPT, Claude, Titan, Gemini, etc. Integrate LLMs into applications for use cases like text summarization, Q&A systems, semantic search, code generation, personalization, and workflow automation. Optimize prompt engineering, fine-tuning, and model orchestration for accuracy, performance, and cost. Implement robust error handling, logging, and monitoring for LLM-powered components. Collaborate with product teams, data scientists, and AI researchers to experiment with and evaluate different models and approaches. Stay up-to-date with advancements in AI/ML and contribute insights and improvements to our AI capabilities. Preferred candidate profile Joining in the next 15 days. 2+ years of professional Python development experience. Proven experience working with any one of the following LLMs: OpenAI (e.g., GPT-4/4o, embeddings) Claude (Anthropic APIs) Amazon Bedrock / Titan Google Gemini Strong understanding of RESTful APIs, asynchronous programming, and cloud-based deployments (AWS, GCP, or Azure). Experience with libraries like LangChain , LLM orchestration tools , or vector databases like Pinecone , Weaviate , or FAISS . Familiarity with prompt engineering and prompt chaining techniques. Experience in data processing, NLP pipelines, and working with JSON, YAML, or XML. Excellent problem-solving skills and a collaborative mindset. Nice-to-Have Skills Experience with front-end frameworks or full-stack development (e.g., React, Flask/FastAPI). Experience with RAG (Retrieval Augmented Generation) systems. Background in ML model evaluation, vector embeddings, and semantic search. Contributions to open-source AI projects or published work in the LLM domain.

About KPI Partners. KPI Partners is a leading provider of analytics and business intelligence solutions. We help organizations transform data into actionable insights to drive better business decisions. Our commitment to innovation and excellence has positioned us as a trusted partner for companies worldwide. Job Summary. We are seeking a talented Python Developer with expertise in Pandas for application development to join our dynamic team. As a Python Developer, you will play a crucial role in designing and developing applications that leverage data analysis and processing capabilities. You will collaborate with cross-functional teams to deliver high-quality solutions that meet our clients' needs. Key Responsibilities. - Develop, maintain, and enhance Python applications using the Pandas library for data manipulation and analysis. - Work closely with data scientists and business analysts to understand requirements and translate them into technical specifications. - Design and implement efficient data processing pipelines to handle large datasets. - Conduct code reviews and provide constructive feedback to ensure code quality and best practices. - Optimize application performance by profiling and refactoring code. - Collaborate with team members in an Agile environment to deliver projects on time. - Write unit tests and maintain comprehensive documentation for applications. - Stay updated with the latest trends and technologies in Python and data analysis. Qualifications. - Bachelor’s degree in Computer Science, Engineering, or a related field. - Proven experience as a Python Developer, with a strong focus on using Pandas for data analysis and application development. - Proficiency in developing applications using Python frameworks (e.g., Flask, Django) is a plus. - Solid understanding of data structures, algorithms, and software design principles. - Familiarity with database systems (SQL and NoSQL) and data modeling concepts. - Experience with version control systems, such as Git. - Strong problem-solving skills and the ability to work independently as well as in a team environment. - Excellent communication skills, with the ability to articulate technical concepts to non-technical stakeholders. What We Offer. - Competitive salary and performance-based bonuses. - Opportunities for professional growth and development. - Collaborative and inclusive work culture. - Flexible working hours and remote work options. - Comprehensive health benefits and wellness programs. KPI Partners is an equal-opportunity employer. We celebrate diversity and are committed to creating an inclusive environment for all employees.

Experience: 0-0 years Skills: Good knowledge In C,C++,Java,Asp,Vb Coding, Good knowledge In C,C++,Java,Asp,Vb Java concepts Good Communication Skills Flexible to work in shifts. Willing to work in Information Technology. Eligibility Criteria: Overall Academic 60% Only 2025/2024 Pass out Immediate joiner will prefer. Rounds of Interview: Level 1: Aptitude test (1st Day) Level 2: Programming Test ( If selected in Level 1) Level 3: System Execution of Program ( If selected in Level 2) Level 4: HR Interview

We're looking for a skilled Python Developer with strong hands-on experience integrting any modern LLMs such as OpenAI , Claude , Amazon Titan , Gemini , etc. The ideal candidate will have deep experience in building and fine-tuning LLM-powered features.

ExperiencePandas/Numpy/FastAPI/Flask/SQL/xLwriter/Sklearn/Pyodbc/Pymongo/Selenium,GCP,Java script Good understanding in SQL Programming/Query/Joins/Procedures Experience in cross platform integration using Node.js /Electron React/Angular)

Expected Notice Period : 15 Days Shift : (GMT+05:30) Asia/Kolkata (IST) Opportunity Type : Office (Hyderabad) Placement Type : Full Time Permanent position(Payroll and Compliance to be managed by: InfraCloud Technologies Pvt Ltd) (*Note: This is a requirement for one of Uplers' client - IF) What do you need for this opportunity? Must have skills required: Banking, Fintech, Product Engineering background, Python, FastAPI, Django, MLFlow, feast, Kubeflow, NumPy, pandas, Big Data IF is Looking for: Product Engineer Location: N arsingi, Hyderabad 5 days of work from the Office Client is a Payment gateway processing company Interview Process: Screening round with InfraCloud, followed by a second round with our Director of Engineering. We share the profile with the client, and they take one/two interviews About the Project We are building a high-performance machine learning engineering platform that powers scalable, data-driven solutions for enterprise environments. Your expertise in Python, performance optimization, and ML tooling will play a key role in shaping intelligent systems for data science and analytics use cases. Experience with MLOps, SaaS products, or big data environments will be a strong plus. Role and Responsibilities Design, build, and optimize components of the ML engineering pipeline for scalability and performance. Work closely with data scientists and platform engineers to enable seamless deployment and monitoring of ML models. Implement robust workflows using modern ML tooling such as Feast, Kubeflow, and MLflow. Collaborate with cross-functional teams to design and scale end-to-end ML services across a cloud-native infrastructure. Leverage frameworks like NumPy, Pandas, and distributed compute environments to manage large-scale data transformations. Continuously improve model deployment pipelines for reliability, monitoring, and automation. Requirements 5+ years of hands-on experience in Python programming with a strong focus on performance tuning and optimization. Solid knowledge of ML engineering principles and deployment best practices. Experience with Feast, Kubeflow, MLflow, or similar tools. Deep understanding of NumPy, Pandas, and data processing workflows. Exposure to big data environments and a good grasp of data science model workflows. Strong analytical and problem-solving skills with attention to detail. Comfortable working in fast-paced, agile environments with frequent cross-functional collaboration. Excellent communication and collaboration skills. Nice to Have Experience deploying ML workloads in public cloud environments (AWS, GCP, or Azure). Familiarity with containerization technologies like Docker and orchestration using Kubernetes. Exposure to CI/CD pipelines, serverless frameworks, and modern cloud-native stacks. Understanding of data protection, governance, or security aspects in ML pipelines. Experience Required: 5+ years