652 Pandas Jobs - Page 3

Naresh IT KPHB branch is hiring for an experienced trainer for offline FS Python.Candidate should be strong in Core & Advanced Python along with DJango and should have rich experience in giving classroom training.Mandatory to have training experience

About The Role We are seeking an efficient Developer with 4 years of experience in Python technology, Requirements Expertise in at least one popular Python framework such as like Django, Flask or Pyramid, Expertise in ETL and Reporting, Good knowledge of object-relational mapping (ORM), Orchestration (Airflow), Pandas and PySpark, Familiarity with front-end technologies like JavaScript and HTML5,

About BeGig BeGig is the leading tech freelancing marketplace We empower innovative, early-stage, non-tech founders to bring their visions to life by connecting them with top-tier freelance talent By joining BeGig, you're not just taking on one role?youre signing up for a platform that will continuously match you with high-impact opportunities tailored to your expertise, Your Opportunit yJoin our network as a Python Developer and help startups build reliable, scalable, and efficient applications From web development and automation to data pipelines and AI integration, you'll work across use cases where Python is at the core of the product Role Overvi ewAs a Python Developer, you wil l:Build and maintain backend services, APIs, and data workflo wsCollaborate with teams to develop applications, tools, and systems using Pyth onOptimize code for performance, reliability, and scalabili ty What Youll DoDevelop backend logic using frameworks like Django, Flask, or Fast APIWork with databases such as PostgreSQL, MySQL, MongoDB, or Re disWrite scripts and automations for data processing or system ta sksBuild and integrate REST or GraphQL A PIsCollaborate on unit testing, documentation, and code revi ews Technical Requirem ents2+ years of experience in Python develop mentProficiency with at least one web framework (Django, Flask, Fast API)Experience with database design, API development, and deploy mentFamiliarity with Git, Docker, and cloud platforms like AWS or GCPBonus: experience with Celery, Pandas, NumPy, or ML framew orks What Were Lookin g ForA well-rounded Python developer who writes clean, maintainable codeA freelancer who can work independently and meet dead linesSomeone who can adapt to a variety of use cases?product, automation, or data Why J oin UsWork on real-world Python projects for fast-growing st artupsFully remote and flexible freelance opportu nitiesGet matched with future Python-focused roles through BeGigJoin a network of trusted engineers solving meaningful pr oblems Ready to build with PythonApply now to become a Python Developer with BeGig,

Position: AI Engineer Computer Vision & Deep Learning Location: Work From Office Hyderabad Hiring an AI Engineer having 5+ years of hands-on experience in AI, Machine Learning, and Computer Vision technologies. InovarTech is a dynamic and innovative IT service and consulting company dedicated to providing cutting-edge solutions to our clients. With a focus on excellence, collaboration, and continuous improvement, we are committed to delivering superior results and fostering a positive and inclusive work environment. We are seeking a skilled AI Engineer with 5+ years of expertise in Computer Vision and Deep Learning. The ideal candidate will have a strong track record of building innovative, production-ready AI solutions. Proficiency in developing robust ML models and applying modern AI frameworks is essential. Responsibilities: Strong hands-on experience in Python programming. Proven expertise with PyTorch and TensorFlow frameworks. Experience working with NumPy, Pandas and OpenCV libraries. Solid understanding and hands-on experience in Computer Vision and Image Processing (SIFT, SURF). Expertise in designing and implementing Neural Networks, including CNN architectures such as ResNet, YOLO or VGG. Proficiency in RNN, RCNN, LSTM or GRU models for sequence-based data. Experience in Video Analysis techniques and solutions. Ability to preprocess, clean, and manipulate large volumes of unstructured image/video data. Experience in training, fine-tuning, and deploying deep learning models. Understanding of model evaluation, hyperparameter tuning, and optimization techniques. Excellent problem-solving skills and ability to translate business problems into AI/ML solutions. Familiarity with cloud platforms and deployment of AI models will be a plus. Strong communication and presentation skills. Ability to collaborate and drive discussions with internal teams and clients. Requirements: Hands-on experience in building and deploying AI/ML solutions. Experience with Computer Vision tasks such as object detection, classification, segmentation, and tracking. Proficiency in model optimization for real-time applications. Good understanding of Machine Learning lifecycle and MLOps. Ability to write clean, modular, and scalable code. Should be willing to learn and adopt new AI technologies as per project needs. Experience supporting global clients/working with international teams is a plus. Should be willing to travel abroad based on customer requirements. Ability to mentor junior members in the team. Additional Information: Competitive salary and performance-related bonuses. Comprehensive health and accident insurance plans. Professional development opportunities. Flexible work arrangements. 5-day work week. Fun and inclusive company culture.

Job Purpose Design and develop automation framework and scripts. Design and execute test cases / scenarios based on the requirements. Design and execute test scripts based on the requirements. Implement QA best practice. Desired Skills and experience Candidates should have a B.E./B.Tech/MCA/MBA in Finance, Information Systems, Computer Science or a related field 5+ years of experience in Quality Assurance (Testing) working with client stakeholders Significant experience of performing testing in the Financial Services Industry. Hands-on expertise in UI testing with Puppeteer. Strong experience in API testing using SOAPUI, Maven, and Jenkins in a CI/CD pipeline. Strong experience of designing and developing automated testing. Design and develop test automation framework Understand, analyse and develop complex test data sets for automated testing Configuring Automated Test Environment (ATE) Participating in Automated Environment Setup with an Integrated Development Environment (IDE) Identify and select the test cases for automation and/or create, enhance, debug and execute automation test cases. Deep understanding of FSI trading platforms and tools (e.g., Polaris) and fixed income products. Proven ability to establish QA processes and frameworks in environments with minimal existing structure. Excellent problem-solving, analytical, and communication skills. Experience working on agile methodology, Jira, Confluence, etc. Excellent communication skills, both written and verbal Extremely strong organizational and analytical skills with strong attention to detail Strong track record of excellent results delivered to internal and external clients Able to work independently without the needs for close supervision and also collaboratively as part of cross-team efforts Experience with delivering projects within an agile environment Key responsibilities include: Establish and implement comprehensive QA strategies and test plans from scratch. Address immediate pain points in UI (Puppeteer) and API (SOAPUI, Maven, Jenkins) testing, including triage and framework improvement. Strong experience in SQL. Strong experience of working with Python and its libraries like Pandas, NumPy, etc. Develop and execute test cases for both UI and API, with a focus on Fixed Income trading workflows. Drive the creation of regression test suites for critical back-office applications. Collaborate with development, business analysts, and project managers to ensure quality throughout the SDLC. Implement and utilize test management tools (e.g., X-Ray/JIRA). Provide clear and concise reporting on QA progress and metrics to management. Bring strong subject matter expertise in Financial Services Industry, particularly fixed income trading products and workflows. Ensure effective, efficient, and continuous communication (written and verbally) with global stakeholders Independently troubleshoot difficult and complex issues on dev, test, UAT and production environments Responsible for end-to-end delivery of projects, coordination between client and internal offshore teams and manage client queries Demonstrate high attention to detail, should work in a dynamic environment whilst maintaining high quality standards, a natural aptitude to develop good internal working relationships and a flexible work ethic Responsible for Quality Checks and adhering to the agreed Service Level Agreement (SLA) / Turn Around Time (TAT)

As a key member of the DTS team, you will primarily collaborate closely with a global leading hedge fund on data engagements. Partner with data strategy and sourcing team on data requirements to migrate scripts from Matlab to Python. Also, work on re-creation data visualizations using Tableau/PowerBI. Desired Skills and Experience Essential skills 4-6 years of experience with data analytics Skilled in Python, PySpark, and MATLAB Working knowledge of Snowflake and SQL Hands-on experience to generate dashboards using Tableau/Power BI Experience working with financial and/or alternative data products Excellent analytical and strong problem-solving skills Working knowledge of data science concepts, regression, statistics and the associated python libraries Interest in quantitative equity investing and data analysis Familiarity with version control systems such as GIT Education: B.E./B.Tech in Computer Science or related field Key Responsibilities Re-write and enhance the existing analytics process and code from Matlab to Python Build a GUI to allow users to provide parameters for generating these reports Store the data in Snowflake tables and write queries using PySpark to extract, manipulate, and upload data as needed Re-create the existing dashboards in Tableau and Power BI Collaborate with the firms research and IT team to ensure data quality and security Engage with technical and non-technical clients as SME on data asset offerings Key Metrics Python, SQL, MATLAB, Snowflake, Pandas/PySpark Tableau, PowerBI, Data Science Behavioral Competencies Good communication (verbal and written) Experience in managing client stakeholders

Job Purpose Develop and execute test cases for both UI and API, with a focus on FSI trading workflows. Implement and utilize test management tools (e.g., X-Ray/JIRA). Desired Skills and experience Candidates should have a B.E./B.Tech/MCA/MBA in Finance, Information Systems, Computer Science or a related field 5+ years of experience in Quality Assurance (Testing) working with client stakeholders Significant experience of performing testing in the Financial Services Industry. Hands-on expertise in UI testing with Puppeteer. Strong experience in API testing using SOAPUI, Maven, and Jenkins in a CI/CD pipeline. Deep understanding of FSI trading platforms and tools (e.g., Polaris) and fixed income products. Proven ability to establish QA processes and frameworks in environments with minimal existing structure. Excellent problem-solving, analytical, and communication skills. Experience working on agile methodology, Jira, Confluence, etc. Excellent communication skills, both written and verbal Extremely strong organizational and analytical skills with strong attention to detail Strong track record of excellent results delivered to internal and external clients Able to work independently without the needs for close supervision and also collaboratively as part of cross-team efforts Experience with delivering projects within an agile environment Key responsibilities include: Establish and implement comprehensive QA strategies and test plans from scratch. Address immediate pain points in UI (Puppeteer) and API (SOAPUI, Maven, Jenkins) testing, including triage and framework improvement. Strong experience in SQL. Develop and execute test cases for both UI and API, with a focus on Fixed Income trading workflows. Drive the creation of regression test suites for critical back-office applications. Collaborate with development, business analysts, and project managers to ensure quality throughout the SDLC. Implement and utilize test management tools (e.g., X-Ray/JIRA). Provide clear and concise reporting on QA progress and metrics to management. Bring strong subject matter expertise in Financial Services Industry, particularly fixed income trading products and workflows. Basic knowledge on Python and its libraries like Pandas, NumPy, etc. Ensure effective, efficient, and continuous communication (written and verbally) with global stakeholders Independently troubleshoot difficult and complex issues on dev, test, UAT and production environments Responsible for end-to-end delivery of projects, coordination between client and internal offshore teams and manage client queries Demonstrate high attention to detail, should work in a dynamic environment whilst maintaining high quality standards, a natural aptitude to develop good internal working relationships and a flexible work ethic Responsible for Quality Checks and adhering to the agreed Service Level Agreement (SLA) / Turn Around Time (TAT)

As an Applied AI Engineer, you will work at the intersection of AI research and practical implementation. You will develop machine learning (ML) and deep learning (DL) models, integrate them into our SaaS platform, and optimize them for scalability, performance, and business impact. Key Responsibilities: Data Engineering & Feature Engineering: Work with structured and unstructured data to build high-quality datasets. Develop robust feature engineering pipelines to improve model accuracy. Implement data preprocessing and augmentation techniques. MLOps & AI Infrastructure: Build and maintain ML pipelines for continuous integration and deployment (CI/CD). Implement model monitoring, retraining, and performance tracking frameworks. Work with cloud platforms (AWS, GCP, Azure) for AI model deployment and scaling. AI Integration in SaaS Applications: Collaborate with software engineers to integrate AI models into customer-facing SaaS products. Develop APIs and microservices for seamless AI-powered functionalities. Optimize inference performance for real-time and batch processing scenarios. Collaboration & Research: Stay updated with the latest AI research and bring innovative solutions to production. Work closely with product managers, designers, and engineers to align AI capabilities with business goals. Participate in code reviews, knowledge sharing, and AI/ML best practices. Prompt Engineering: Design, develop, and refine AI-generated text prompts for various applications to ensure accuracy, engagement, and relevance Craft and optimize prompts that guide our AI systems to generate accurate, informative, and creative outputs Build accessible libraries of prompts, keywords, and syntax guidelines for optimal query results Develop robust evaluation frameworks to assess AI model performance and prompt effectiveness Test and analyze outputs by experimenting with different prompts and measuring against defined metrics Create dashboards and reporting tools to track AI performance across multiple dimensions Apply human judgment to identify gaps in AI-generated output and refine prompts accordingly Implement continuous improvement processes based on evaluation insights What Were Looking For: Experience: 5-6 years in AI/ML engineering, with hands-on experience in Generative AI, NLP and deploying AI solutions at scale. Technical Expertise: Strong background in machine learning, deep learning, and NLP. Proficiency in Python Help assess performance metrics, develop novel agent frameworks, create and oversee data workflows, and conduct extensive testing to deploy innovative capabilities. Ship with high intent and work with the team to improve your ability to iterate and ship AI-powered features over time. Experience with data processing tools (Pandas, NumPy, Spark, Dask). Familiarity with MLOps, CI/CD, and cloud platforms (AWS SageMaker, GCP Vertex AI, Azure ML). AI Deployment & Optimization: Experience with optimizing models for performance, interpretability, and real-time applications. Strong Problem-Solving Skills: Ability to translate business problems into AI-driven solutions. SaaS Experience (Preferred): Understanding of how AI enhances SaaS applications and workflows.

Job Description: AI Engineer (Junior / Associate Level) About the Role We are looking for a passionate and hands-on AI Developer with around 3 years of experience in building and deploying machine learning models and working with the latest AI tools and frameworks. You will be working closely with our data science and engineering teams to develop smart, scalable, and production-ready AI solutions. Key Responsibilities Design, develop, test, and deploy machine learning models for classification, regression, recommendation, or NLP tasks. Work with state-of-the-art AI tools and libraries such as LangChain, Hugging Face, OpenAI, LlamaIndex, etc. Integrate Large Language Models (LLMs) into applications via APIs or custom fine- tuning. Build data pipelines for training and inference, ensuring model performance and robustness. Collaborate with software developers, product managers, and data engineers to turn AI models into usable products. Stay updated with the latest research and innovations in the AI/ML space and bring new ideas into development. Optimize model performance and scale AI solutions for production. Required Skills & Experience Bachelor's or Master's degree in Computer Science, AI, Data Science, or a related field. 2 to 4 years of hands-on experience in machine learning and deep learning. Proficiency in Python and libraries like TensorFlow, PyTorch, Scikit-learn, Pandas, NumPy. Good understanding of LLMs and experience working with platforms like OpenAI, Claude, Cohere, or Hugging Face Transformers. Experience in prompt engineering, fine-tuning, or using frameworks like LangChain, LlamaIndex, or Haystack. Exposure to cloud platforms (AWS, GCP, Azure) and tools like Docker, Git, CI/CD workflows. Strong analytical and problem-solving skills. Understanding of data preprocessing, feature engineering, and model evaluation techniques. Good to Have Experience building AI chatbots or virtual assistants. Knowledge of Vector databases (e.g., Chroma, Pinecone, Weaviate). Familiarity with MLOps tools like MLflow, Kubeflow, Vertex AI, etc. Experience with RESTful APIs or microservices architecture. Participation in Kaggle competitions or open-source AI projects. What We Offer Opportunity to work on real-world AI applications and products. A collaborative, learning-first environment. Exposure to enterprise-grade AI deployments and tools. Flexible working hours and remote work options. Competitive compensation and career growth path.

Job Description: Key Responsibilities: Design and develop RESTful APIs using Python and the FastAPI library. Implement and manage concurrency and threading for performance optimization. Ensure efficient API communication through a solid understanding of the HTTP protocol . Work with authentication mechanisms , including OAuth . Collaborate with frontend developers to integrate user-facing elements with server-side logic. Utilize AWS services for deploying and managing microservices. Containerize applications using Docker for scalable deployments. Handle and process data effectively using Pandas and other data libraries. Participate in code reviews , providing and receiving constructive feedback. Troubleshoot and resolve technical issues in a timely manner. Required Skills & Qualifications: 5- 7 years of experience in Python development. Strong knowledge of REST APIs and hands-on experience with FastAPI . Proficiency in concurrency and threading concepts. Solid understanding of the HTTP protocol . Basic knowledge of AWS services and deployment practices. Experience with Docker for containerization. Strong SQL skills and experience with Postgres databases . Familiarity with Pandas and other data processing libraries. Excellent problem-solving skills and attention to detail. Strong communication and collaboration abilities in cross-functional teams. Preferred Qualifications: Experience with microservices architecture . Knowledge of additional cloud platforms or container orchestration tools (e.g., Kubernetes). Familiarity with CI/CD pipelines and automated testing frameworks.

Role & responsibilities Required Skills: Strong Python programming experience, especially with pandas, numpy, matplotlib, seaborn. Experience in building monitoring dashboards or visualizations (e.g., Plotly, Dash, Streamlit). Understanding of ML model evaluation metrics (e.g., precision, recall, drift, AUC). Familiarity with model risk management concepts or frameworks. Ability to write clean, well-documented code for reproducibility and audit-readiness. Comfortable interpreting and working with structured model output and log files. Excellent attention to detail and communication skills. Should have Experience in Banking Domain Preferred candidate profile Notice Period: Immediate to 30 Days

Job Description AI/ML Engineer We are seeking a sharp, innovative, and passionate AI/ML Engineer to join our R&D team. You will be responsible for designing and deploying intelligent algorithms that enhance the predictive capabilities of our remote diagnostics platform used in railway signaling and other critical infrastructure. Responsibilities: Build and deploy machine learning and deep learning models for predictive maintenance and anomaly detection. Analyze time-series sensor data to develop accurate failure prediction models. Work with massive datasets – cleaning, preprocessing, feature engineering, and model tuning. Develop and expose ML models as REST APIs for integration into cloud-based systems. Collaborate with domain experts, data engineers, and full stack developers to create robust, production-grade solutions. Perform continuous evaluation and improvement of deployed models (MLOps). Stay updated with the latest AI research and evaluate them for real-world application. Required Skills & Qualifications: 2–5 years of experience in AI/ML project development and deployment. Proficiency in Python , Scikit-learn , Pandas , NumPy . Hands-on experience with TensorFlow or PyTorch . Solid understanding of ML algorithms , classification , regression , clustering , NLP , or computer vision . Experience with model deployment , APIs , and Docker . Knowledge of cloud platforms (AWS/GCP/Azure) is a plus. Strong problem-solving skills and understanding of statistical concepts. Nice to Have: Experience with time-series forecasting and anomaly detection. Prior exposure to predictive maintenance in industrial environments. Familiarity with IoT data and sensor networks.

Design, develop, and deploy machine learning models for various use cases (classification, regression, NLP, CV, etc.) Preprocess, clean, and transform large datasets for training and testing Conduct model evaluation, performance tuning, and error analysis Collaborate with data engineers, product managers, and business stakeholders to deliver intelligent solutions Implement and manage scalable ML pipelines using tools like MLflow, Airflow, or Kubeflow Work with cloud platforms such as AWS, Azure, or GCP for model training and deployment Stay updated with the latest advancements in AI/ML technologies and frameworks Roles and Responsibilities Strong programming skills in Python and libraries such as Pandas, NumPy, Scikit-learn, TensorFlow, PyTorch Experience with model deployment and MLOps practices Good understanding of data structures, algorithms, and statistics Hands-on experience with cloud platforms (AWS/GCP/Azure) Proficiency in SQL and working with databases/data warehouses Knowledge of Docker/Kubernetes is a plus Excellent problem-solving and communication skills

Project Role : Software Development Lead Project Role Description : Develop and configure software systems either end-to-end or for a specific stage of product lifecycle. Apply knowledge of technologies, applications, methodologies, processes and tools to support a client, project or entity. Must have skills : Python (Programming Language) Summary: As a Software Development Lead, you will be responsible for developing and configuring software systems using Python. Your typical day will involve applying your knowledge of technologies, methodologies, and processes to support a client or project in Bengaluru. Roles & Responsibilities: - Lead the development and configuration of software systems using Python, applying knowledge of technologies, applications, methodologies, processes, and tools. - Strong exposure to Python/R programming language with exposure to NLP and ML packages with proper coding standards Able to design/develop/customize the solution and deliver within deadline - Collaborate with cross-functional teams to design, develop, and implement software solutions that meet client or project requirements. - Ensure software quality by conducting code reviews, testing, and debugging. - Provide technical guidance and mentorship to junior team members, ensuring their professional growth and development. - Stay updated with the latest advancements in software development, integrating innovative approaches for sustained competitive advantage. Professional & Technical Skills: - Must To Have Skills: Proficiency in Python. - Must To Have Skills: Experience with Django, Flask, or other Python web frameworks, Pyspark Developer, Word Embedding, Feature Engineering, Text Similarity Sentiment Analysis, Text Classification Clustering, Search Indexing Fuzzy Matching. - Strong understanding of software development methodologies, including Agile and Waterfall. - Experience with version control systems such as Git or SVN. - Solid grasp of software testing and debugging techniques. - Experience with database technologies such as MySQL, PostgreSQL, or MongoDB. Additional Information: - The ideal candidate will possess a strong educational background in computer science or a related field, along with a proven track record of delivering impactful software solutions.

Job Title: Lead Backend Engineer with Machine Learning Expertise Job Description: Backend Engineer with a strong foundation in Machine Learning, proficient in Node.js, Go, and Python, and experienced in developing web crawlers and using machine learning frameworks like TensorFlow and PyTorch. The candidate will play a pivotal role in enhancing backend systems, contributing to various projects, and optimizing our technology for better user experiences and product functionality. The candidate should have experience with leading a small team of high performing talented engineers. Key Responsibilities: Backend System Development: Design and implement scalable backend services using Node.js, Go, and Python. Machine Learning Integration: Apply machine learning algorithms and frameworks, including TensorFlow and PyTorch, to enhance data analytics and insights. Web Crawling and Data Scraping: Develop and maintain web crawlers and scrapers using tools like Scrapy to gather and process data efficiently. DevOps and CI/CD Pipelines: Build and manage CI/CD pipelines for streamlined deployment and continuous integration. Infrastructure Management: Oversee cloud and on-premises infrastructure, focusing on scalability and system reliability. Collaboration and Agile Development: Work within cross-functional teams, aligning backend development with broader project objectives and adopting agile methodologies. Agile Project Management: Independently build the engineering backlog, plan sprints, track sprints, measure sprint velocity, and burndown, and ensure timely product delivery. Testing and Quality Assurance: Ensure the stability and performance of backend systems through comprehensive testing and quality control. Qualifications: Bachelors or Masters degree in Computer Science, Engineering, or a related field. Solid experience in backend development using Node.js, Go, and Python. A minimum of 6 years of experience in a high-scale consumer internet startup. Experience with machine learning frameworks such as TensorFlow or PyTorch. Proficiency in developing web crawlers and scrapers, with experience using Scrapy. Strong understanding of cloud infrastructure, DevOps practices, and CI/CD pipelines. Familiarity with handling large-scale data processing and storage. Preferred Skills: Exposure to IoT technologies and data integration from various sources. Effective problem-solving skills and meticulous attention to detail.

About The Role 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.

We are seeking a skilled Python Developer to join our team and work on training data models, performing analysis, and generating predictions . The ideal candidate will have experience with data science workflows and be comfortable using modern data tools and frameworks. Role & responsibilities Design, build, and maintain data pipelines to collect, clean, and prepare data from diverse sources (websites, APIs, AI prompts, etc.). Develop and train machine learning models for tasks such as classification, regression, and clustering. Apply Python libraries to perform exploratory data analysis and generate actionable predictions. Communicate findings and model insights clearly to both technical and non-technical stakeholders. Continuously evaluate and refine models for performance, accuracy, and scalability. Here are some specific examples of tasks that this role might perform: Collect and preprocess large datasets, including handling missing values, outliers, and inconsistencies. Select suitable algorithms based on the problem context and train models using structured and unstructured data. Validate model performance using best practices (e.g., train/test splits, cross-validation) and fine-tune hyperparameters. Use trained models to infer predictions on real-time or batch data. Create clear visualizations and reports to present analysis and model results. Here are some of the related tools, which knowledge is desired for this role : Python : Strong programming skills and experience in data-centric development. NumPy & Pandas : For efficient data manipulation and preprocessing. Scikit-learn : For implementing and tuning machine learning models. Matplotlib & Seaborn : For creating insightful visualizations. Jupyter Notebooks : For interactive experimentation and documentation. Docker & Kubernetes (preferred): For containerizing and deploying machine learning models in production environments. Preferred candidate profile Strong problem-solving and analytical thinking skills. Excellent written and verbal communication skills. Ability to work independently and collaborate within cross-functional teams. A proactive mindset with a commitment to delivering high-quality, production-ready solutions.

Databuzz is Hiring for Python Developer(Azure)-5+yrs-Pan India-Hybrid Please mail your profile to haritha.jaddu@databuzzltd.com with the below details, If you are Interested. About DatabuzzLTD: Databuzz is One stop shop for data analytics specialized in Data Science, Big Data, Data Engineering, AI & ML, Cloud Infrastructure and Devops. We are an MNC based in both UK and INDIA. We are a ISO 27001 & GDPR complaint company. CTC - ECTC - Notice Period/LWD - (Candidate serving notice period will be preferred) Position: Python Developer(Azure) Location: PAN India Exp -5+ yrs Mandatory skills : Candidate should Understand and maintain Python code hosted on Azure Function App. Modify and enhance existing code based on business requirements. Support basic data analysis and transformation logic using libraries like Pandas, NumPy, Scikit-learn, etc. Collaborate with DevOps and data engineering teams to ensure seamless deployment and integration. Perform basic statistical and mathematical analysis to support data-driven features. Troubleshoot and resolve issues in production and development environments. (Mainly on Function App and Python code) Document code changes and maintain version control using Azure DevOps. Regards, Haritha Talent Acquisition specialist haritha.jaddu@databuzzltd.com

Job Title: AI & ML Trainer (With Expertise in Generative AI & Content Creation) Location: On Site- Bangalore Job Type: Full-time Experience Level: 5+ years in AI/ML training and content development About Us MAA Academy is dedicated to upskilling professionals in cutting-edge AI & ML technologies. We believe in empowering individuals with practical, real-world knowledge and enabling them to harness AIs full potential. As we expand our offerings, we are looking for a passionate AI & ML Trainer who can design, create, and deliver impactful learning experiences in AI, ML, and Generative AI. Role Overview We are seeking an experienced and highly passionate AI & ML Trainer who is well-versed in Machine Learning (ML), Deep Learning, Generative AI, and Large Language Models (LLMs). The ideal candidate should have a strong technical background, a passion for teaching and upskilling professionals and students, and the ability to design structured training programs. This role involves creating engaging course content, conducting hands-on training, and mentoring learners to enhance their AI & ML expertise. Educational Qualifications: Mandatory: Bachelor's or Masters degree in Computer Science, Data Science, Artificial Intelligence, Machine Learning, or related technical fields. Preferred: Ph.D. or ongoing doctoral work in AI/ML or Data Science (especially if teaching at university level). Certifications from reputed institutions in: Machine Learning (e.g., Andrew Ngs ML course Stanford/Coursera) Deep Learning Specialization Gen AI (e.g., Prompt Engineering, GPT usage, etc.) Cloud ML Platforms (e.g., AWS ML Specialty, Google Cloud AI Engineer) Key Responsibilities 1. Training & Facilitation Deliver high-quality AI & ML training sessions (live/recorded) to professionals, and students. Conduct hands-on coding sessions using Python, TensorFlow, PyTorch, and other ML frameworks. Guide learners in building real-world AI applications and ML models. Provide one-on-one mentorship to resolve technical doubts and support learning progress. 2. Content Development & Course Design Design structured AI & ML learning programs aligned with industry trends. Develop engaging learning materials, including presentations, coding exercises, quizzes, and projects. Create video content, tutorials, and blogs on AI, ML, and Generative AI concepts. Keep course content up to date with the latest advancements in AI, including LLMs, Transformers, Diffusion Models, and AI Agents. 3. Generative AI & Advanced Technologies Teach concepts related to Generative AI (ChatGPT, DALL•E, Midjourney, Stable Diffusion, etc.). Guide learners in building AI-powered applications using APIs from OpenAI, Hugging Face, and other AI providers. Explain AI ethics, biases, and responsible AI to ensure learners apply AI solutions ethically. 4. Engagement & Professional Development Foster an interactive and engaging learning environment. Organize webinars, hackathons, and AI challenges for learners. Stay updated with emerging AI research and incorporate the latest developments into training. 5. Industry & Project-Based Learning Develop capstone projects that mirror real-world AI problems. Help learners build portfolio-worthy AI projects for career growth. Collaborate with industry partners to bring case studies and real AI applications into learning. Required Skills & Qualifications Technical Expertise Strong proficiency in Machine Learning, Deep Learning, and AI frameworks (TensorFlow, PyTorch, scikit-learn, etc.). Hands-on experience with Generative AI models (GPT, Stable Diffusion, BERT, LLaMA, etc.). Familiarity with ML Ops, AI Deployment, and Cloud Platforms (AWS, GCP, Azure). Strong programming skills in Python (NumPy, Pandas, OpenCV, Hugging Face, LangChain, etc.). Knowledge of AI Ethics, Explainable AI (XAI), and Bias Mitigation Techniques. Training & Content Development Proven experience in designing and delivering AI/ML training programs. Ability to create high-quality AI learning content (videos, courses, assignments, projects). Experience with LMS platforms, e-learning tools, and AI-powered course creation tools. Passion for Upskilling & Teaching Strong communication and presentation skills. A growth mindset and commitment to mentoring professionals. Ability to simplify complex AI concepts for different learner levels. Preferred Qualifications (Nice-to-Have) Industry experience in AI/ML-based projects. Certifications in AI/ML (Google TensorFlow Developer, AWS ML, etc.). Experience with AI Agent frameworks, RAG models, and AI-driven automation. Familiarity with AI & ML applications in Finance, Healthcare, Retail, etc. What We Offer Opportunity to work with a cutting-edge AI learning platform. Access to the latest AI/ML research & industry collaborations. Remote-friendly work environment (if applicable). A passionate and collaborative team focused on upskilling the next-gen AI workforce. How to Apply If you are excited about teaching, AI innovation, and upskilling professionals, wed love to hear from you! Send your resume and a short cover letter to Sharmila@maa.co.in Join us in shaping the future of AI education!

Choosing Capgemini means choosing a company where you will be empowered to shape your career in the way youd like, where youll be supported and inspired by a collaborative community of colleagues around the world, and where you ll be able to reimagine what s possible. Join us and help the world s leading organizations unlock the value of technology and build a more sustainable, more inclusive world. Design, develop, and implement conversational AI solutions using the Kore.ai platform, including chatbots, virtual assistants, and automated workflows tailored to business requirements. Customize, configure, and optimize the Kore.ai platform to address specific business needs, focusing on user interface (UI) design, dialogue flows, and task automation. Collaborate with cross-functional teams to understand business objectives and translate them into scalable AI solutions. Continuously monitor and enhance bot performance by staying updated on the latest Kore.ai features, AI advancements, and machine learning trends. Primary Skills 7+ years of experience in software development, with at least 4+ years of hands-on experience working with the Kore.ai platform. Proven expertise in developing chatbots and virtual assistants using Kore.ai tools. Proficiency in programming languages such as JavaScript or other scripting languages. Experience with API integrations, including RESTful APIs and third-party services. Strong understanding of dialogue flow design, intent recognition, and context management. Secondary Skills Kore.ai platform certification is a strong advantage. Knowledge of automation tools and RPA technologies is beneficial.

About the Role We are seeking a talented AI Engineer with 2-3 years of professional experience to join our growing team. As a AI Engineer, you will collaborate with data scientists, software engineers, and product teams to design, build, and deploy ML models that drive value across our organisation. This is an excellent opportunity for someone early in their ML career who wants to gain hands-on experience with real-world applications while working alongside experienced professionals. Responsibilities Implement and optimize ML algorithms and models based on requirements from data scientists and product teams Work with Large Language Models (LLMs) to develop AI-powered applications and features Design prompts, fine-tune, and evaluate LLM performance for specific use cases Build systems to integrate LLMs with existing products and services Design and develop ML/DL pipelines for data preprocessing, model training, evaluation, and deployment Experience in using RAG Collaborate with software engineers to integrate ML/DL models into production systems Monitor and maintain deployed ML/DL models, ensuring reliability and performance Participate in code reviews and contribute to engineering best practices Stay current with the latest ML/DL research and technologies, evaluating their potential application to business problems Assist in collecting and preparing datasets for model training and validation Document model architecture, data flows, and deployment procedures Strong in Machine Learning and Deep learning Basics Requirements Bachelor's degree in Computer Science, Statistics, Applied Mathematics, or a related field (Master's preferred but not required) 1-2 years of professional experience building and deploying machine learning models Strong programming skills in Python and familiarity with ML frameworks such as TensorFlow, PyTorch, or scikit-learn Experience with Large Language Models (LLMs), including understanding of transformer architectures, fine-tuning approaches, and prompt engineering Knowledge of NLP concepts and techniques applicable to LLMs (embeddings, tokens, context windows, etc.) Experience with data processing libraries like Pandas, NumPy, and visualization tools like Matplotlib or Seaborn Understanding of ML fundamentals, including supervised/unsupervised learning, feature engineering, and model evaluation Knowledge of software engineering best practices (version control, testing, CI/CD) Basic understanding of cloud platforms (AWS, GCP, or Azure) and containerization (Docker)

Description - External Optum is a global organization that delivers care, aided by technology to help millions of people live healthier lives. The work you do with our team will directly improve health outcomes by connecting people with the care, pharmacy benefits, data and resources they need to feel their best. Here, you will find a culture guided by diversity and inclusion, talented peers, comprehensive benefits and career development opportunities. Come make an impact on the communities we serve as you help us advance health equity on a global scale. Join us to start Caring. Connecting. Growing together. Primary Responsibilities: Lead and manage a team of data scientists, fostering a collaborative and innovative environment Oversee the design and development of predictive models and machine learning algorithms Collaborate with business stakeholders to understand and define their data needs Translate business problems into data-driven solutions, presenting complex results in a clear and actionable manner Monitor model performance and continuously improve the accuracy of predictions and insights Maintain up-to-date knowledge of the latest data science trends and technologies, implementing new methodologies as appropriate Promote data literacy throughout the organization, educating staff on how to use data to drive decision-making Ensure data integrity and compliance with privacy regulations Comply with the terms and conditions of the employment contract, company policies and procedures, and any and all directives (such as, but not limited to, transfer and/or re-assignment to different work locations, change in teams and/or work shifts, policies in regards to flexibility of work benefits and/or work environment, alternative work arrangements, and other decisions that may arise due to the changing business environment). The Company may adopt, vary or rescind these policies and directives in its absolute discretion and without any limitation (implied or otherwise) on its ability to do so Role & responsibilities Required Qualifications: Bachelor of Engineering or equivalent 10+ years of total experience Coding : Python, pandas, numpy Math behind ML and DL algorithms Basics of Statistics ML and DL concepts Preferred Qualification: Exposure GenAI and LLMs Preferred candidate profile Perks and benefits

As Lead Data Engineer , you'll design and manage scalable ETL pipelines and clean, structured data flows for real-time retail analytics. You'll work closely with ML engineers and business teams to deliver high-quality, ML-ready datasets. Responsibilities: Develop and optimize large-scale ETL pipelines Design schema-aware data flows and dashboard-ready datasets Manage data pipelines on AWS (S3, Glue, Redshift) Work with transactional and retail data for real-time insights

As Lead ML Engineer , you'll lead the development of predictive models for demand forecasting, customer segmentation, and retail optimization, from feature engineering through deployment. As Lead ML Engineer, you'll lead the development of predictive models for demand forecasting, customer segmentation, and retail optimization, from feature engineering through deployment. Responsibilities: Build and deploy models for forecasting and optimization Perform time-series analysis, classification, and regression Monitor model performance and integrate feedback loops Use AWS SageMaker, MLflow, and explainability tools (e.g., SHAP or LIME)

Product Engineer (Onsite, Hyderabad) Experience: 5 - 8 Years Exp Salary : INR 30-32 Lacs per annum Preferred Notice Period : Within 30 Days Shift : 9:00AM to 6:00PM IST Opportunity Type: Onsite (Hyderabad) Placement Type: Permanent (*Note: This is a requirement for one of Uplers' Clients) Must have skills required : Python, FastAPI, Django, MLFlow, feast, Kubeflow, Numpy, Pandas, Big Data Good to have skills : Banking, Fintech, Product Engineering background IF (One of Uplers' Clients) is Looking for: Product Engineer (Onsite, Hyderabad) who is passionate about their work, eager to learn and grow, and who is committed to delivering exceptional results. If you are a team player, with a positive attitude and a desire to make a difference, then we want to hear from you. Role Overview Description Product Engineer Location: Narsingi, 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 How to apply for this opportunity: Easy 3-Step Process: 1. Click On Apply! And Register or log in on our portal 2. Upload updated Resume & Complete the Screening Form 3. Increase your chances to get shortlisted & meet the client for the Interview! About Our Client: We foster business expansion through our innovative products and services, facilitating the seamless adoption of cloud-native technologies by companies. Our expertise lies in the revitalization of applications and infrastructure, harnessing the power of cloud-native solutions for enhanced resilience and scalability. As pioneering Kubernetes partners, we have been dedicated contributors to the open-source cloud-native community, consistently achieving nearly 100% growth over the past few years. We take pride in spearheading local chapters of Serverless & Kubernetes Meetup, actively participating in the development of a vibrant community dedicated to cutting-edge technologies within the Cloud and DevOps domains. About Uplers: Uplers is the #1 hiring platform for SaaS companies, designed to help you hire top product and engineering talent quickly and efficiently. Our end-to-end AI-powered platform combines artificial intelligence with human expertise to connect you with the best engineering talent from India. With over 1M deeply vetted professionals, Uplers streamlines the hiring process, reducing lengthy screening times and ensuring you find the perfect fit. Companies like GitLab, Twilio, TripAdvisor, and AirBnB trust Uplers to scale their tech and digital teams effectively and cost-efficiently. Experience a simpler, faster, and more reliable hiring process with Uplers today.