4918 Numpy Jobs - Page 33

Role Overview We are looking for a confident Security Engineer/Researcher position with experience in IT-Security for our Core Research labs in India. McAfee believes that no one person, product, or organization can fight cybercrime alone. It's why we rebuilt McAfee around the idea of working together. Life at McAfee is full of possibility. You’ll have the freedom to explore challenges, take smart risks, and reach your potential in one of the fastest-growing industries in the world. You’ll be part of a team that supports and inspires you. This is a hybrid position based in Bangalore. You must be within a commutable distance from the location. You will be required to be onsite on an as-needed basis; when not working onsite, you will work remotely from your home location. About The Role Understand threat telemetry trends and identify patterns to reduce time to detect. Develop automation to harvest malware threat intelligence from various sources such as product telemetry, OSINT, Dark Web monitoring, spam monitoring, etc. Develop early identification and alert systems for threats based on various online platforms and product telemetry. Utilize various data mining tools that analyze data inline based on intelligence inputs. Analyze malware communication and techniques to find Indicators of Compromise (IOC) or Indicators of Attack (IOA). Authoring descriptions for malware either via McAfee Virus Information Library, Threat Advisories, Whitepapers, or Blogs. About You You should have 6 to 10 years of experience as a security/threat/malware analyst. You should have Knowledge of programming languages like Python and its packages like NumPy, Matplotlib, and Seaborn is desirable. Data source accesses like Spark and SQL are desirable. Machine Learning knowledge is added advantage. Familiarity with UI & dashboard tools like Jupyter and Databricks is an added advantage. Company Overview McAfee is a leader in personal security for consumers. Focused on protecting people, not just devices, McAfee consumer solutions adapt to users’ needs in an always online world, empowering them to live securely through integrated, intuitive solutions that protects their families and communities with the right security at the right moment. Company Benefits And Perks We work hard to embrace diversity and inclusion and encourage everyone at McAfee to bring their authentic selves to work every day. We offer a variety of social programs, flexible work hours and family-friendly benefits to all of our employees. Bonus Program Pension and Retirement Plans Medical, Dental and Vision Coverage Paid Time Off Paid Parental Leave Support for Community Involvement We're serious about our commitment to diversity which is why McAfee prohibits discrimination based on race, color, religion, gender, national origin, age, disability, veteran status, marital status, pregnancy, gender expression or identity, sexual orientation or any other legally protected status.

Python + Frontend Trainer (Full-Time ) Location: Manjeera Trinity, JNTU, Hyderabad Joining: Immediate Joiners Preferred Company: Greatcoder Trainings LLP About Us: Greatcoder Trainings LLP is a fast-growing tech training institute known for delivering real-time project-based training and offering 100% placement support. We are currently hiring a passionate and skilled Python + Frontend Trainer to join our expert team. Key Responsibilities: Conduct in-person training sessions on Python and Frontend technologies Prepare and deliver course materials, assignments, and real-time projects Resolve student queries and provide hands-on guidance Track student performance and offer constructive feedback Assist in mock interviews and assessments Required Skills: Core Python: Variables, Data Types, Loops, Functions, Modules Object-Oriented Programming in Python File Handling and Exception Handling Python Libraries: NumPy, Pandas, Matplotlib (preferred) Frameworks: Django or Flask (any one is a must) Basic understanding of REST APIs Frontend: HTML, CSS, JavaScript ReactJS: Practical and teaching experience Strong communication and presentation abilities Preferred Qualifications: Prior experience in teaching/training (offline or online) Bachelor’s degree in Computer Science or related field (preferred but not mandatory) Benefits: Flexible work modes (Full-time) Health insurance Real-time project exposure Friendly and growth-focused work culture Competitive salary Job Details: Job Type: Full-time Pay: ₹6,00,000 – ₹8,00,000 per year Schedule: Day shift Language: English (Preferred) Work Location: In person (Manjeera Trinity, JNTU, Hyderabad) Apply Now: Send your resume to bhupesh@thegreatcoder.com Contact: 9032190326 Job Type: Full-time Pay: ₹600,000.00 - ₹800,000.00 per year Benefits: Health insurance Schedule: Day shift Ability to commute/relocate: Jntu Kukat Pally, Hyderabad, Telangana: Reliably commute or planning to relocate before starting work (Preferred) Experience: Python: 3 years (Preferred) Language: Telugu (Preferred) English (Preferred) Work Location: In person

Job Title: Python + AIML Developer Location: Hyderabad (On-Site) Job Type: Full-Time Experience: 4 to 7 Years Notice Period: Immediate to 15 Days Job Summary We are looking for a talented and motivated Python Developer with strong experience in building APIs using FastAPI and Flask. The ideal candidate will possess excellent problem-solving and communication skills and a passion for delivering high-quality, scalable backend solutions. You will play a key role in developing robust backend services, integrating APIs, and collaborating with frontend and QA teams to deliver production-ready software. Key Responsibilities Design, develop, and maintain backend services using FastAPI and Flask. Write clean, reusable, and efficient Python code following best practices. Work with Large Language Models (LLMs) and contribute to building advanced AI-driven solutions. Collaborate with cross-functional teams to gather requirements and translate them into technical implementations. Optimize applications for maximum speed, scalability, and reliability. Implement secure API solutions and ensure compliance with data protection standards. Develop and maintain unit tests, integration tests, and documentation for code, APIs, and system architecture. Participate in code reviews and contribute to continuous improvement of development processes. Required Skills & Qualifications Strong programming skills in Python with hands-on experience in backend development. Proficiency in developing RESTful APIs using FastAPI and Flask frameworks. Solid understanding of REST principles and asynchronous programming in Python. Good communication skills and the ability to troubleshoot and solve complex problems effectively. Experience with version control tools like Git. Eagerness to learn and work with LLMs, Vector Databases, and other modern AI technologies. Bachelor's degree in Computer Science, Engineering, or a related field, or equivalent practical experience. Nice to Have Experience with LLMs, Prompt Engineering, and Vector Databases. Understanding of Transformer architecture, Embeddings, and Retrieval-Augmented Generation (RAG). Familiarity with data processing libraries like NumPy and Pandas. Knowledge of Docker for containerized application development and deployment. Skills Python, FastAPI, Flask, REST APIs, Asynchronous Programming, Git, API Security, Data Protection, LLMs, Vector DBs, Transformers, RAG, NumPy, Pandas, Docker. If you are passionate about backend development and eager to work on innovative AI solutions, we would love to hear from you! Job Type: Full-time Pay: ₹10,764.55 - ₹65,865.68 per month Benefits: Flexible schedule Health insurance Paid time off Provident Fund Schedule: Day shift Monday to Friday Ability to commute/relocate: Hyderabad, Telangana: Reliably commute or planning to relocate before starting work (Required) Education: Bachelor's (Preferred) Experience: Coding: 5 years (Preferred) Flask Api: 7 years (Required) Rest API: 7 years (Required) Git: 5 years (Required) Pandas/Numpy/Dockers: 7 years (Required) Python developer: 7 years (Required) AIML: 5 years (Required) Machine learning: 5 years (Required) Fast API: 5 years (Required) Generative AI: 5 years (Required) NLP: 5 years (Required) LLM: 5 years (Required) Work Location: In person

Key Roles and Responsibilities of Position: Understand business requirements and analyze datasets to determine suitable approaches to meet analytic business needs and support data-driven decision-making Design and implement data analysis and ML models, hypotheses, algorithms and experiments to support data-driven decision-making Apply various analytics techniques like data mining, predictive modeling, prescriptive modeling, math, statistics, advanced analytics, machine learning models and algorithms, etc.; to analyze data and uncover meaningful patterns, relationships, and trends Design efficient data loading, data augmentation and data analysis techniques to enhance the accuracy and robustness of data science and machine learning models, including scalable models suitable for automation Research, study and stay updated in the domain of data science, machine learning, analytics tools and techniques etc.; and continuously identify avenues for enhancing analysis efficiency, accuracy and robustness Minimum Qualifications Bachelor’s degree in computer science, Operational research, Statistics, Applied mathematics, or in any other engineering discipline. 2+ years of hands-on experience in Python programming for data analysis, machine learning, and with libraries such as NumPy, Pandas, Matplotlib, Scikit-learn, TensorFlow, PyTorch, NLTK, spaCy, and Gensim. 2+ years of experience with both supervised and unsupervised machine learning techniques. 2+ years of experience with data analysis and visualization using Python packages such as Pandas, NumPy, Matplotlib, Seaborn, or data visualization tools like Dash or PowerBI. 1+ years' experience in SQL programming language and relational databases. Preferred Qualifications An MS/PhD in Computer Science, Operational research, Statistics, Applied mathematics, or in any other engineering discipline. PhD strongly preferred. Experience working with Google Cloud Platform (GCP) services, leveraging its capabilities for ML model development and deployment. Experience with Git and GitHub for version control and collaboration. Besides Python, familiarity with one more additional programming language (e.g., C/C++/Java) Strong background and understanding of mathematical concepts relating to probabilistic models, conditional probability, numerical methods, linear algebra, neural network under the hood detail. Experience working with large language models such GPT-4, Google Gemini, Palm, Llama-2, etc. Excellent problem solving, communication, and data presentation skills. Key Roles and Responsibilities of Position: Understand business requirements and analyze datasets to determine suitable approaches to meet analytic business needs and support data-driven decision-making Design and implement data analysis and ML models, hypotheses, algorithms and experiments to support data-driven decision-making Apply various analytics techniques like data mining, predictive modeling, prescriptive modeling, math, statistics, advanced analytics, machine learning models and algorithms, etc.; to analyze data and uncover meaningful patterns, relationships, and trends Design efficient data loading, data augmentation and data analysis techniques to enhance the accuracy and robustness of data science and machine learning models, including scalable models suitable for automation Research, study and stay updated in the domain of data science, machine learning, analytics tools and techniques etc.; and continuously identify avenues for enhancing analysis efficiency, accuracy and robustness

Job Description Key Roles and Responsibilities of Position: Understand business requirements and analyze datasets to determine suitable approaches to meet analytic business needs and support data-driven decision-making Design and implement data analysis and ML models, hypotheses, algorithms and experiments to support data-driven decision-making Apply various analytics techniques like data mining, predictive modeling, prescriptive modeling, math, statistics, advanced analytics, machine learning models and algorithms, etc.; to analyze data and uncover meaningful patterns, relationships, and trends Design efficient data loading, data augmentation and data analysis techniques to enhance the accuracy and robustness of data science and machine learning models, including scalable models suitable for automation Research, study and stay updated in the domain of data science, machine learning, analytics tools and techniques etc.; and continuously identify avenues for enhancing analysis efficiency, accuracy and robustness Responsibilities Key Roles and Responsibilities of Position: Understand business requirements and analyze datasets to determine suitable approaches to meet analytic business needs and support data-driven decision-making Design and implement data analysis and ML models, hypotheses, algorithms and experiments to support data-driven decision-making Apply various analytics techniques like data mining, predictive modeling, prescriptive modeling, math, statistics, advanced analytics, machine learning models and algorithms, etc.; to analyze data and uncover meaningful patterns, relationships, and trends Design efficient data loading, data augmentation and data analysis techniques to enhance the accuracy and robustness of data science and machine learning models, including scalable models suitable for automation Research, study and stay updated in the domain of data science, machine learning, analytics tools and techniques etc.; and continuously identify avenues for enhancing analysis efficiency, accuracy and robustness Qualifications Minimum Qualifications Bachelor’s degree in computer science, Operational research, Statistics, Applied mathematics, or in any other engineering discipline. 2+ years of hands-on experience in Python programming for data analysis, machine learning, and with libraries such as NumPy, Pandas, Matplotlib, Scikit-learn, TensorFlow, PyTorch, NLTK, spaCy, and Gensim. 2+ years of experience with both supervised and unsupervised machine learning techniques. 2+ years of experience with data analysis and visualization using Python packages such as Pandas, NumPy, Matplotlib, Seaborn, or data visualization tools like Dash or PowerBI. 1+ years' experience in SQL programming language and relational databases. Preferred Qualifications An MS/PhD in Computer Science, Operational research, Statistics, Applied mathematics, or in any other engineering discipline. PhD strongly preferred. Experience working with Google Cloud Platform (GCP) services, leveraging its capabilities for ML model development and deployment. Experience with Git and GitHub for version control and collaboration. Besides Python, familiarity with one more additional programming language (e.g., C/C++/Java) Strong background and understanding of mathematical concepts relating to probabilistic models, conditional probability, numerical methods, linear algebra, neural network under the hood detail. Experience working with large language models such GPT-4, Google Gemini, Palm, Llama-2, etc. Excellent problem solving, communication, and data presentation skills.

Experience: 4+ years Department: Data & Analytics We’re seeking a hands-on Senior Data Analyst & Scientist to drive insights, build predictive models, and develop scalable data pipelines. This hybrid role blends data science and analytics engineering to support decision-making across teams. Responsibilities: - Analyze data to identify trends and business insights - Build and deploy ML models (forecasting, segmentation, recommendations) - Design/manage ETL/ELT pipelines - Develop dashboards and reports (Tableau, Power BI, etc.) - Collaborate with product, engineering, and business teams Requirements: - 4+ years of experience in data science, analytics, or data engineering - Strong in SQL and Python (pandas, NumPy); experience with ML tools like scikit-learn - Familiar with Airflow, DBT, or similar orchestration tools - Experience with cloud platforms like BigQuery, Snowflake, or Redshift - Proficient in BI tools such as Tableau, Power BI, or Looker - Excellent communication and problem-solving skills Nice to Have: - ML model deployment experience - Cloud experience (AWS, GCP, or Azure) - Background in SaaS or product analytics Job Type: Full-time Pay: ₹60,000.00 - ₹95,000.00 per month Benefits: Flexible schedule Paid sick time Paid time off Language: English (Required) Work Location: In person

Job Title: Sr. Python Developer Location: Ahmedabad (Onsite) Skill Set: Python, JavaScript, Python frameworks (Flask, Django, Django Rest Framework), AWS, Data Science, Machine Learning. Responsibilities: Develop and maintain Python applications, using frameworks like Flask or Django to create and manage APIs and web services. Integrate various data sources and databases, including SQL (MySQL, PostgreSQL) and NoSQL (MongoDB, Redis) systems, into a unified solution. Model data for reporting and analysis, leveraging libraries like NumPy, Pandas, and Matplotlib to provide insights and communicate results to stakeholders. Utilize AWS services, such as DynamoDB and Lambda, to build and deploy efficient, cloud-based solutions. Manage code versions with GIT, ensuring effective tracking and collaborative development practices. Employ strong debugging and optimization skills to ensure high performance and resolve issues promptly. Requirements: Strong knowledge and hands-on experience with Python, including its standard libraries, toolkits, and APIs. Experience with web frameworks like Flask or Django, and familiarity with REST framework principles for web services. Proficiency in database structures, with practical experience in SQL (MySQL, PostgreSQL) and NoSQL (MongoDB, Redis) databases. Experience with cloud platforms, especially AWS, and knowledge of services like DynamoDB and Lambda. Skilled in Python libraries for data analysis, such as NumPy, Pandas, and Matplotlib, with an understanding of big data frameworks. Excellent analytical and problem-solving skills, capable of debugging and resolving complex issues efficiently. Strong grasp of data structures and algorithms, crucial for building efficient applications. Thoroughly understand version control systems, particularly GIT, for effective code management and collaboration. Job Type: Full-time Pay: ₹800,000.00 - ₹1,400,000.00 per year Benefits: Food provided Health insurance Paid sick time Paid time off Provident Fund Work Location: In person Speak with the employer +91 8511858648

Job Title: Python Developer Location: Ebizneeds, Jodhpur (On-site) Experience: 1–4 Years Employment Type: Full-Time About Us: Ebizneeds is a dynamic IT solutions provider with a mission to build scalable, intelligent, and future-ready technology for clients across industries. With a focus on innovation and efficiency, we’re now looking to strengthen our backend development team with a dedicated Python Developer who thrives in fast-paced environments. Key Responsibilities: Design, develop, test, and maintain robust and scalable Python-based backend applications. Write clean, reusable, and efficient code following best practices. Integrate user-facing elements developed by front-end developers with server-side logic. Implement APIs, microservices, and data storage solutions. Work with databases such as PostgreSQL, MySQL, or MongoDB. Collaborate with cross-functional teams including UI/UX designers, front-end developers, and QA engineers. Debug and troubleshoot application issues and improve performance. Participate in code reviews and contribute to continuous improvement initiatives. Required Skills & Qualifications: Bachelor’s degree in Computer Science, Engineering, or related field. Strong proficiency in Python (Flask, Django, or FastAPI preferred). Knowledge of RESTful API design and integration. Hands-on experience with relational and non-relational databases. Familiarity with Git and version control workflows. Understanding of Docker, CI/CD pipelines, or cloud deployment (AWS/GCP) is a plus. Ability to write clean, scalable, and well-documented code. Problem-solving attitude and ability to work independently or in a team. Preferred (Bonus) Skills: Experience working with AI/ML libraries (e.g., NumPy, Pandas, Scikit-learn) is an added advantage. Familiarity with front-end technologies (React, Angular) is a plus. Ability to leverage AI-assisted coding tools like GitHub Copilot or ChatGPT for productivity. Perks & Benefits: Competitive salary based on experience Flexible working hours Friendly work culture and learning-driven environment Opportunities to work on international client projects Performance-based incentives To Apply: Send your resume and portfolio to hr@ebizneeds.com with the subject line "Application – Python Developer – [Your Name]" Job Types: Full-time, Permanent Pay: ₹20,000.00 - ₹25,000.00 per month Work Location: In person

🤖 Machine Learning Intern – Remote | Learn AI by Building It 📍 Location: Remote / Virtual 💼 Type: Internship (Unpaid) 🎁 Perks: Certificate After Completion || Letter of Recommendation (6 Months) 🕒 Schedule: 5–7 hrs/week | Flexible Timing Join Skillfied Mentor as a Machine Learning Intern and move beyond online courses. You’ll work on real datasets, build models, and see your algorithms in action — all while gaining experience that hiring managers actually look for. Whether you're aiming for a career in AI, data science, or automation — this internship will build your foundation with hands-on learning. 🔧 What You’ll Do: Work with real datasets to clean, preprocess, and transform data Build machine learning models using Python, NumPy, Pandas, Scikit-learn Perform classification, regression, and clustering tasks Use Jupyter Notebooks for experimentation and documentation Collaborate on mini-projects and model evaluation tasks Present insights in simple, digestible formats 🎓 What You’ll Gain: ✅ Full Python course included during the internship ✅ Hands-on projects to showcase on your resume or portfolio ✅ Certificate of Completion + LOR (6-month internship) ✅ Experience with industry-relevant tools & techniques ✅ Remote flexibility — manage your time with just 5–7 hours/week 🗓️ Application Deadline: 1st August 2025 👉 Apply now to start your ML journey with Skillfied Mentor

Job Brief We are seeking a highly skilled and visionary AI Lead/Architect to design, implement, and lead AI/ML systems from problem definition and data strategy to production deployment for real-world autonomous systems. The ideal candidate will bring a strong foundation in Machine Learning, Deep Learning, and AI architecture, combined with leadership capabilities to drive AI excellence within cross-functional teams. Key Responsibilities AI Strategy & Architecture Architect and drive end-to-end AI solutions for autonomous platforms including computer vision, sensor fusion, NLP, and generative AI. Design scalable and modular AI pipelines and microservices using modern ML Ops frameworks (Docker, Kubernetes, Azure ML, etc.). Model Development Lead the development and deployment of ML/DL models including CNNs, RNNs, Transformers, LLMs, and federated learning architectures. Build and fine-tune models for multi-modal tasks such as image/video understanding, speech, and document intelligence. Team Leadership Manage a team of AI/ML engineers, and data scientists. Provide mentorship and technical oversight. Collaborate with software, robotics, and product teams to align AI goals with business outcomes. Innovation & R&D Drive R&D initiatives in areas like Explainable AI, Federated Learning, GenAI (LLMs), and Reinforcement Learning for real-time control systems. Evaluate and implement state-of-the-art research to maintain a competitive technological edge. Project Execution Lead AI project delivery including PoCs, pilots, and full-scale deployments for internal products and external clients. Ensure adherence to Responsible AI principles, performance benchmarks, and ethical AI practices. Required Skills and Qualifications • 8–10 years of experience in AI/ML, with at least 3 years in a leadership or architectural role. • Strong expertise in: o Deep Learning frameworks (TensorFlow, PyTorch, Keras) o Computer Vision and/or NLP (LayoutLM, LLMs like GPT-4, BERT) o Cloud ML Platforms (Azure, AWS) o MLOps: Docker, Kubernetes, CI/CD pipelines • Experience with Generative AI, Prompt Engineering, and Retrieval-Augmented Generation (RAG) • Hands-on with Python and libraries such as Scikit-learn, NumPy, Pandas, OpenCV, HuggingFace Preferred Skills • Exposure to Federated Learning, Explainable AI, or Reinforcement Learning • Experience working with sensor data and embedded ML for edge computing • Research exposure (PhD or academic contributions in AI/ML) Soft Skills • Strong leadership and communication skills • Ability to translate complex research into practical applications • Proven experience working in agile and cross-disciplinary teams Why RoshAi? • Work at the forefront of India’s autonomous technology revolution. • Opportunity to impact real-world systems and products in a fast-scaling startup. • Collaborate with top AI minds and deep tech leaders. • Competitive compensation, ESOPs, and flexible work environment. Join RoshAi and be part of a forward-thinking company that values innovation, development, and your well-being.

1.Familiar with CVXPY, NumPy, Flash, Pandas , Python 2.Should be Experienced with Linear Equations / Algorithms 3.AI / ML Techniques Used Required Candidate profile 1.Ability to understand scenarios that are complex and create mathematical models to solve them using the packages stated herein.

Location: Hyderabad Work Mode: Hybrid (2–3 days on-site/week) Experience Required: Minimum 3+ Years Salary Range: ₹6 – ₹10 LPA (based on experience and skill set) Disclaimer – Please Read Before You Apply We are not accepting applications from freshers or freelance-only profiles . This role requires prior corporate experience (minimum 2 years) with a clear understanding of how to automate contact extraction workflows using Python and NLP. This role goes beyond writing Python scripts—it’s about applying NLP (Natural Language Processing) in real-world scenarios where data isn’t clean or structured. We are looking for someone who can extract contact information like names, emails, phone numbers, and company details from documents such as PDFs, resumes, scanned images, and emails —even when the formats vary or the layout is messy. You should be able to: Understand the structure and flow of unstructured text Apply NLP concepts to locate and extract relevant contact details Build logic to automate this extraction across different document types Think critically and creatively to handle inconsistent data inputs You don’t need to rely on pre-built solutions—we value your ability to reason through the problem and implement your own approach . If you're passionate about NLP and love solving messy data problems, we encourage you to apply. To ensure you've read this section thoroughly, we’ve included a small check in the application process. The keyword is the number 7 — you’ll be asked for it at the end of the form. About the Role A leading AI-focused organization is looking for a Junior Python Developer with strong experience in machine learning and natural language processing. This is a great opportunity to work closely with senior engineers on cutting-edge AI initiatives that involve building, training, and deploying intelligent models at scale. Key Responsibilities Develop and optimize Python scripts for data preprocessing, training, and evaluating NLP/ML models. Contribute to ML pipeline development using Scikit-learn, TensorFlow, or PyTorch. Deploy ML models via REST APIs using Flask or FastAPI. Handle data in various formats such as JSON, CSV, and PDF using spaCy, PyMuPDF, or regex-based logic. Participate in testing, debugging, and validation of machine learning workflows. Maintain documentation on code, model performance, and technical decisions. Stay updated with tools like Hugging Face, LangChain, and MLflow. Mandatory Skills Minimum 3 years of hands-on Python development experience. Proficient in Python libraries such as NumPy, Pandas, and Matplotlib. Experience with NLP tasks using tools like spaCy or regex for rule-based NER. Understanding of core ML algorithms: classification, regression, clustering. Familiar with ML frameworks: Scikit-learn, TensorFlow, or PyTorch. Experience developing and consuming REST APIs. Proficient with Git and collaborative version control. Nice to Have Experience with Hugging Face Transformers or LangChain. Familiarity with MLflow or similar model lifecycle tools. Exposure to OCR or intelligent document processing projects. How to Apply Please send your updated resume to komal.bansal@zetamicron.com Shortlisted candidates will be contacted for further discussions.

Position Overview: We are seeking a talented Data Engineer with expertise in Apache Spark, Python / Java and distributed systems. The ideal candidate will be skilled in creating and managing data pipelines using AWS. Key Responsibilities: Design, develop, and implement data pipelines for ingesting, transforming, and loading data at scale. Utilise Apache Spark for data processing and analysis. Utilise AWS services (S3, Redshift, EMR, Glue) to build and manage efficient data pipelines. Optimise data pipelines for performance and scalability, considering factors like partitioning, bucketing, and caching. Write efficient and maintainable Python code. Implement and manage distributed systems for data processing. Collaborate with cross-functional teams to understand data requirements and deliver optimal solutions. Ensure data quality and integrity throughout the data lifecycle. Qualifications: Proven experience with Apache Spark and Python / Java. Strong knowledge of distributed systems. Proficiency in creating data pipelines with AWS. Excellent problem-solving and analytical skills. Ability to work independently and as part of a team. Bachelor's degree in Computer Science, Information Technology, or a related field (or equivalent experience). Proven experience in designing and developing data pipelines using Apache Spark and Python. Experience with distributed systems concepts (Hadoop, YARN) is a plus. In-depth knowledge of AWS cloud services for data engineering (S3, Redshift, EMR, Glue). Familiarity with data warehousing concepts (data modeling, ETL) is preferred. Strong programming skills in Python (Pandas, NumPy, Scikit-learn are a plus). Experience with data pipeline orchestration tools (Airflow, Luigi) is a plus. Excellent problem-solving and analytical skills. Strong communication and collaboration skills. Preferred Qualifications: Experience with additional AWS services (e.g., AWS Glue, AWS Lambda, Amazon Redshift). Familiarity with data warehousing and ETL processes. Knowledge of data governance and best practices. Have a good understanding of the oops concept. Hands-on experience with SQL database design Experience with Python, SQL, and data visualization/exploration tools

Role Overview: As a Senior AI/ML Engineer, you will lead the design, development, and deployment of advanced machine learning models and AI solutions. Your expertise will drive innovation across various applications, from natural language processing (NLP) to deep learning and recommendation systems. You will collaborate with cross-functional teams to integrate AI capabilities into products and services, ensuring scalability, efficiency, and ethical standards. Key Responsibilities: Model Development & Deployment: Lead the end-to-end lifecycle of machine learning models, including data collection, preprocessing, model selection, training, evaluation, and deployment. Implement deep learning architectures (e.g., CNNs, RNNs, Transformers) and NLP models to solve complex problems. Optimize models for performance, scalability, and real-time inference. Collaboration & Leadership: Mentor and guide junior engineers and data scientists, fostering a culture of continuous learning and innovation. Collaborate with product managers, software engineers, and data engineers to align AI solutions with business objectives. Communicate complex technical concepts to both technical and non-technical stakeholders. Research & Innovation: Stay abreast of the latest advancements in AI/ML research and industry trends. Evaluate and integrate emerging technologies and methodologies to enhance model performance and capabilities. Contribute to the development of AI strategies and roadmaps. Ethics & Compliance: Ensure AI solutions adhere to ethical guidelines, data privacy regulations, and organizational standards. Implement fairness, accountability, and transparency in AI models to mitigate bias and ensure equitable outcomes. Technical Skills & Qualifications: Programming Languages: Proficiency in Python, with experience in libraries such as NumPy, Pandas, and Scikit-learn. Familiarity with other languages like Java, Scala, or C++ is a plus. Machine Learning Frameworks: Expertise in frameworks like TensorFlow, PyTorch, Keras, and Scikit-learn. Experience with MLOps tools and practices for model versioning, deployment, and monitoring. Data Engineering: Strong understanding of data pipelines, ETL processes, and working with large-scale datasets. Experience with SQL and NoSQL databases, as well as cloud platforms like AWS, GCP, or Azure. Soft Skills: Excellent problem-solving abilities and analytical thinking. Strong communication and interpersonal skills. Ability to work effectively in a collaborative, fast-paced environment. Educational Background: Bachelor's or master's degree in computer science, data science, machine learning, or a related field. Ph.D. is advantageous but not required. Preferred Experience: 8+ years in AI/ML engineering or related roles, with a proven track record of deploying production-grade models. Experience in specific domains such as healthcare, finance, or e-commerce is a plus. Why Join Us: Opportunity to work on cutting-edge AI projects with a talented team. Collaborative and inclusive work culture. Competitive compensation and benefits package. Continuous learning and professional development opportunities.

About Us: E2M is not your regular digital marketing firm. We're an equal opportunity provider, founded on strong business ethics and driven by more than 300 experienced professionals. Our client base is made up of digital agencies that rely on us to solve bandwidth issues, reduce overheads, and boost profitability. We need driven, tech-savvy professionals like you to help us deliver next-gen solutions. If you're someone who dreams big and thrives in innovation, E2M has a place for you. Role Overview: As an AI Executor/AI Developer/Python Developer – AI Implementation Specialist/AI Developer , you will be responsible for designing and integrating AI capabilities into production systems using Python and key ML libraries. This role requires a strong backend development foundation and a proven track record of deploying AI use cases using tools like TensorFlow, Keras, or OpenAI APIs. You'll work cross-functionally to deliver scalable AI-driven solutions. Key Responsibilities: Design and develop backend solutions using Python, with a focus on AI-driven features. Implement and integrate AI/ML models using tools like OpenAI, Hugging Face, or Lang Chain. Use core Python libraries (NumPy, Pandas, TensorFlow, Keras) to process data, train, or implement models. Translate business needs into AI use cases and deliver working solutions. Collaborate with product, engineering, and data teams to define integration workflows. Develop REST APIs and micro services to deploy AI components within applications. Maintain and optimize AI systems for scalability, performance, and reliability. Keep pace with advancements in the AI/ML landscape and evaluate tools for continuous improvement. Required Skills & Qualifications: Minimum 2+ years of overall experience, including at least 1 year in AI/ML integration and strong hands-on expertise in Python for backend development. Proficiency in libraries such as NumPy, Pandas, TensorFlow, and Keras. Practical exposure to AI platforms/APIs (e.g., OpenAI, LangChain, Hugging Face). Solid understanding of REST APIs, microservices, and integration practices. Ability to work independently in a remote setup with strong communication and ownership. Excellent problem-solving and debugging capabilities.

Company Description Quantanite is a business process outsourcing (BPO) and customer experience (CX) solutions company that helps fast-growing companies and leading global brands to transform and grow. We do this through a collaborative and consultative approach, rethinking business processes and ensuring our clients employ the optimal mix of automation and human intelligence. We’re an ambitious team of professionals spread across four continents and looking to disrupt our industry by delivering seamless customer experiences for our clients, backed up with exceptional results. We have big dreams and are constantly looking for new colleagues to join us who share our values, passion, and appreciation for diversity Job Description About the Role We are seeking a AI Engineer to join our team and play a critical role in the design and develop a cognitive data solution. The broader vision is to develop an AI-based platform that will crawl through unstructured data sources and extract meaningful information. The ideal candidate will possess full-stack development skills along with a strong understanding of database structures, SQL queries, ETL tools and Azure data technologies. Core Responsibilities Lead the design, development, and implementation of AI algorithms and models to enhance payment and CX product offerings. Test agent interactions, document behaviors, and help improve reliability and performance. Assist with agent integration, system testing, and deployment. Develop and deploy AI models (including deep learning models) using TensorFlow, PyTorch, and other ML/DL frameworks. Design and maintain the full AI data pipeline, including data crawling, ETL, and building fact tables. Apply statistical and programming expertise (NumPy, Pandas, etc.) for data analysis and modeling. Optimize AI models for on-premise infrastructure with a focus on performance and security compliance. Stay abreast of the latest trends in AI and contribute to continuous improvements. Mentor junior AI/ML engineers and contribute to documentation and process standardization. Contribute to the broader AI agent ecosystem and cross-functional collaboration. Required Experience Strong Python programming skills and experience with full-stack development. Experience with large language models (LLMs) like ChatGPT, Claude, etc. 6 months to 1 year of experience in Claims and Denial Management within the medical healthcare industry in India. Solid understanding of AI/ML concepts including NLP, ML algorithms, deep learning, image/speech recognition. Experience with Azure Data Factory, Databricks/Spark, Synapse/SQL DW, and Data Lake Storage. Familiarity with data pipelines, APIs, data exchange mechanisms, and RDBMS/NoSQL databases. Ability to write clear and thorough documentation. Enthusiasm for emerging AI technologies and open-source collaboration. Nice To Have Experience with agent frameworks (LangChain, AutoGPT, CrewAI, etc.) Basic DevOps knowledge and experience in scalable deployments. Experience with API development and RESTful services. Familiarity with vector databases (e.g., FAISS, ChromaDB, Pinecone, Weaviate). Prior contributions to open-source AI projects or communities. Additional Information Benefits At Quantanite, we ask a lot of our associates, which is why we give so much in return. In addition to your compensation, our perks include: Dress: Wear anything you like to the office. We want you to feel as comfortable as when working from home. Employee Engagement: Experience our family community and embrace our culture where we bring people together to laugh and celebrate our achievements. Professional development: We love giving back and ensure you have opportunities to grow with us and even travel on occasion. Events: Regular team and organisation-wide get-togethers and events. Value orientation: Everything we do at Quantanite is informed by our Purpose and Values. We Build Better. Together. Future development: At Quantanite, you’ll have a personal development plan to help you improve in the areas you’re looking to develop over the coming years. Your manager will dedicate time and resources to supporting you in getting you to the next level. You’ll also have the opportunity to progress internally. As a fast-growing organization, our teams are growing, and you’ll have the chance to take on more responsibility over time. So, if you’re looking for a career full of purpose and potential, we’d love to hear from you!

Overview Stats Perform is the market leader in sports tech. We provide the most trusted sports data to some of the world's biggest organizations, across sports, media, and broadcasting. Through the latest AI technologies and machine learning, we combine decades' worth of data with the latest in-game happenings. We then offer coaches, teams, professional bodies, and media channels around the world, access to the very best data, content, and insights. In turn, improving how sports fans interact with their favorite sports teams and competitions. How do they use it? Media outlets add a little magic to their coverage with our stats and graphics packages. Sportsbooks can offer better predictions and more accurate odds. The world's top coaches are known to use our data to make critical team decisions. Sports commentators can engage with fans on a deeper level, using our stories and insights. Anywhere you find sport, Stats Perform is there. However, data and tech are only half of the package. We need great people to fuel the engine. We succeeded thanks to a team of amazing people. They spend their days collecting, analyzing, and interpreting data from a wide range of live sporting events. If you combine this real-time data with our 40-year-old archives, elite journalists, camera operators, copywriters, the latest in AI wizardry, and a host of 'behind the scenes' support staff, you've got all the ingredients to make it a magical experience! Responsibilities We are seeking a highly analytical and detail-oriented Business Analyst to join our team. This role is crucial in transforming raw data into actionable insights, primarily through the development of interactive dashboards and comprehensive data analysis. The successful candidate will bridge the gap between business needs and technical solutions, enabling data-driven decision-making across the organization. Key Responsibilities Requirements Gathering: Collaborate with stakeholders across various departments to understand their data needs, business challenges, and reporting requirements. Data Analysis: Perform in-depth data analysis to identify trends, patterns, and anomalies, providing clear and concise insights to support strategic initiatives. Dashboard Development: Design, develop, and maintain interactive and user-friendly dashboards using leading data visualization tools (e.g., Tableau, Power BI) to present key performance indicators (KPIs) and business metrics. Data Modeling & Querying: Utilize SQL to extract, transform, and load data from various sources, ensuring data accuracy and integrity for reporting and analysis. Reporting & Presentation: Prepare and deliver compelling reports and presentations of findings and recommendations to both technical and non-technical audiences. Data Quality: Work closely with IT and data teams to ensure data quality, consistency, and accessibility. Continuous Improvement: Proactively identify opportunities for process improvements, data efficiency, and enhanced reporting capabilities. Stakeholder Management: Build strong relationships with business users, understanding their evolving needs and providing ongoing support for data-related queries. Desired Qualifications Education: Bachelor's degree in Business, Finance, Economics, Computer Science, Information Systems, or a related quantitative field. Experience: Proven experience (typically 3+ years) as a Business Analyst, Data Analyst, or similar role with a strong focus on data analysis and dashboarding. Data Visualization Tools: Proficiency in at least one major data visualization tool (e.g., Tableau, Microsoft Power BI, Looker). SQL: Strong proficiency in SQL for data extraction, manipulation, and analysis from relational databases. Data Analysis: Excellent analytical and problem-solving skills with the ability to interpret complex datasets and translate them into actionable business insights. Communication: Exceptional written and verbal communication skills, with the ability to explain technical concepts to non-technical stakeholders. Business Acumen: Solid understanding of business processes and key performance indicators. Attention to Detail: Meticulous attention to detail and a commitment to data accuracy. Nice-to-Have Experience with statistical programming languages (e.g., Python with Pandas/NumPy) for advanced data manipulation and analysis. Familiarity with data warehousing concepts and cloud data platforms (e.g., Snowflake, AWS Redshift, Google BigQuery). Experience with advanced Excel functions (e.g., Power Query, Power Pivot). Certification in relevant data visualization tools. Why work at Stats Perform? We love sports, but we love diverse thinking more! We know that diversity brings creativity, so we invite people from all backgrounds to join us. At Stats Perform you can make a difference, by using your skills and experience every day, you'll feel valued and respected for your contribution. We take care of our colleagues We like happy and healthy colleagues. You will benefit from things like Mental Health Days Off, ‘No Meeting Fridays,’ and flexible working schedules. We pull together to build a better workplace and world for all. We encourage employees to take part in charitable activities, utilize their 2 days of Volunteering Time Off, support our environmental efforts, and be actively involved in Employee Resource Groups. Diversity, Equity, and Inclusion at Stats Perform By joining Stats Perform, you'll be part of a team that celebrates diversity. A team that is dedicated to creating an inclusive atmosphere where everyone feels valued and welcome. All employees are collectively responsible for developing and maintaining an inclusive environment. That is why our Diversity, Equity, and Inclusion goals underpin our core values. With increased diversity comes increased innovation and creativity. Ensuring we're best placed to serve our clients and communities. Stats Perform is committed to seeking diversity, equity, and inclusion in all we do. With increased diversity comes increased innovation and creativity. Ensuring we're best placed to serve our clients and communities. Stats Perform is committed to seeking diversity, equity, and inclusion in all we do.

Job Title: Machine Learning Developer Company: Lead India Location: Remote Job Type: Full-Time Salary: ₹3.5 LPA About Lead India: Lead India is a forward-thinking organization focused on creating social impact through technology, innovation, and data-driven solutions. We believe in empowering individuals and building platforms that make governance more participatory and transparent. Job Summary: We are looking for a Machine Learning Developer to join our remote team. You will be responsible for building and deploying predictive models, working with large datasets, and delivering intelligent solutions that enhance our platform’s capabilities and user experience. Key Responsibilities: Design and implement machine learning models for classification, regression, and clustering tasks Collect, clean, and preprocess data from various sources Evaluate model performance using appropriate metrics Deploy machine learning models into production environments Collaborate with data engineers, analysts, and software developers Continuously research and implement state-of-the-art ML techniques Maintain documentation for models, experiments, and code Required Skills and Qualifications: Bachelor’s degree in Computer Science, Data Science, or a related field (or equivalent practical experience) Solid understanding of machine learning algorithms and statistical techniques Hands-on experience with Python libraries such as scikit-learn, pandas, NumPy, and matplotlib Familiarity with Jupyter notebooks and experimentation workflows Experience working with datasets using tools like SQL or Excel Strong problem-solving skills and attention to detail Ability to work independently in a remote environment Nice to Have: Experience with deep learning frameworks like TensorFlow or PyTorch Exposure to cloud-based ML platforms (e.g., AWS SageMaker, Google Vertex AI) Understanding of model deployment using Flask, FastAPI, or Docker Knowledge of natural language processing or computer vision What We Offer: Fixed annual salary of ₹3.5 LPA 100% remote work and flexible hours Opportunity to work on impactful, mission-driven projects using real-world data Supportive and collaborative environment for continuous learning and innovation

Greetings from “HCL Software” Is a Product Development Division of HCL Tech!! HCL Software (hcl-software.com) delivers software that fulfils the transformative needs of clients around the world. We build award winning software across AI, Automation, Data & Analytics, Security and Cloud. About Unica Product: - The HCL Unica+ Marketing Platform enables our customers to deliver precision and high-performance Marketing campaigns across multiple channels like social media, AdTech Platforms, Mobile Applications, Websites, etc. The Unica+ Marketing Platform is a Data and AI first platform that enables our clients to deliver hyper-personalized offers and messages for customer acquisition, product awareness and retention. Note: Are you available for a F2F Interview on 2nd August (Saturday) _ Hinjewadi, Pune. We are Seeking a Sr. & Lead Python Developer (Data Science, AI/ML) with +6 Yrs of Strong Data Science and Machine Learning skills and experience to deliver AI driven Marketing Campaigns. Qualifications & Skills: - At least 6-12 years. of Python Development Experience with at least 4 years in data science and machine learning. Experience with Customer Data Platforms (CDP) like Treasure Data, Epsilon, Tealium, Adobe, Salesforce is advantageous. Experience with AWS SageMaker is advantegous Experience with Lang Chain, RAG for Generative AI is advantageous. Expertise in Integration tools and frameworks like Postman, Swagger, API Gateways Knowledge of REST, JSON, XML, SOAP is a must Ability to work well within an agile team environment and applying the related working methods. Excellent communication & interpersonal skills A 4-year degree in Computer Science or IT is a must. Responsibilities: - Python Programming & Libraries: Proficient in Python with extensive experience using Pandas for data manipulation, NumPy for numerical operations, and Matplotlib/Seaborn for data visualization. Statistical Analysis & Modelling: Strong understanding of statistical concepts, including descriptive statistics, inferential statistics, hypothesis testing, regression analysis, and time series analysis. Data Cleaning & Preprocessing: Expertise in handling messy real-world data, including dealing with missing values, outliers, data normalization/standardization, feature engineering, and data transformation. SQL & Database Management: Ability to query and manage data efficiently from relational databases using SQL, and ideally some familiarity with NoSQL databases. Exploratory Data Analysis (EDA): Skill in visually and numerically exploring datasets to understand their characteristics, identify patterns, anomalies, and relationships. Machine Learning Algorithms:In-depth knowledge and practical experience with a wide range of ML algorithms such as linear models, tree-based models (Random Forests, Gradient Boosting), SVMs, K-means, and dimensionality reduction techniques (PCA). Deep Learning Frameworks: Proficiency with at least one major deep learning framework like TensorFlow or PyTorch. This includes understanding neural network architectures (CNNs, RNNs, Transformers) and their application to various problems. Model Evaluation & Optimization: Ability to select appropriate evaluation metrics (e.g., precision, recall, F1-score, AUC-ROC, RMSE) for different problem types, diagnose model performance issues (bias-variance trade-off), and apply optimization techniques. Deployment & MLOps Concepts: Understanding of how to deploy machine learning models into production environments, including concepts of API creation, containerization (Docker), version control for models, and monitoring. Travel: 30% +/- travel required Location: India (Pune preferred) Compensation: Base salary, plus bonus.

Job Purpose; To evaluate and validate the quality, accuracy, and relevance of the data and analytics outputs, and ensure they adhere to the standards and best To stay updated with the latest trends and developments in the data and analytics field, and leverage them to improve the team's capabilities and performance To lead and mentor a team of data analysts and engineers, and foster a culture of learning, innovation, and collaboration within the team and across the organization Key Accountabilities Tag Management • Own channel wise mapping and click to visit sanity • Implement best practices in Tag Management Adobe Analytics Implementation • Define and own dimensions and metrics • Define channel rules and custom implementation as per business objectives • Own GA/AA versus DB variance in transactions and revenue • Installing, configuring, testing, and troubleshooting Adobe software products such as Adobe Experience Manager, Adobe Analytics, Adobe Target, and Adobe Campaign. • Providing technical guidance and best practices for Adobe software implementation and integration. • Creating and maintaining documentation and reports on Adobe software performance, issues, and solutions. A/B Testing & Personalization • Drive the overall conversion optimization and landing page optimization agenda • Co-own traffic to lead conversion with Product Attribution and MIS Automation • Manage the complexity of multiple truths (Adwords, DBM, Facebook, Google analytics, Internal CRM) and converge on a single truth • Automation of critical dashboards for decision making and business insights Channel mix modelling & Data driven attribution • Answer the ultimate questions. How much to spend in which channel? • Who to market, when to spend and which channel to use? • How to successfully move from campaign to audience marketing? Other Competencies • Apply advanced statistical and analytical techniques, such as machine learning, predictive modeling, and optimization, to generate insights and solutions for complex business problems and opportunities Technical Competencies (Preferred domain knowledge) SQL: Competency to write and execute complex queries, join multiple tables, create views and functions, and optimize the performance of your database. Python: Ability to use Python for data manipulation, processing, and modeling, as well as for creating web applications and APIs. You should also be proficient in using libraries such as pandas, numpy, scipy, sklearn, matplotlib, seaborn, and flask. R: Use R for statistical analysis, data visualization, and machine learning. You should also be familiar with popular packages such as tidyverse, ggplot2, dplyr, tidyr, caret, and shiny. Tableau: Ability to create interactive dashboards and reports using Tableau, as well as connect to various data sources and perform data blending and aggregation. Power BI: Competency to use Power BI for data visualization and business intelligence, as well as create and share reports and dashboards using Power BI Desktop and Power BI Service. Familiar with web services and APIs such as REST, SOAP, and OAuth. Skills/Qualities Required Strong analytical and critical thinking skills, with proficiency in data analysis tools and techniques Excellent communication skills, capable of translating complex data into clear, actionable insights for non-technical stakeholders Detail-oriented with strong organizational skills, able to manage multiple projects and meet deadlines Keen interest in staying updated with the latest trends in data analytics and e-commerce

Job Responsibilties : Knowledge of TPP industry– MF, PMS / AIF, Unlisted, LI, Bonds, etc. Data Reporting of TPP– MF, PMS / AIF, Unlisted, LI, Bonds, etc. Income reconciliation, AUM validation Raising invoice for PMS AIF Following up with AMCs for Brokerage, transaction and AUM related concerns KRA incentive validation Automate processes and publish dashboards Python, Excel reports, VBA Macros. Collaborate with business units to gather reporting requirements and translate them into technical solutions. Maintain documentation for all developed solutions and support end-user training. Ensure data integrity, security, and compliance with internal and external regulations. Education & Experience Postgraduate with overall experience of 8-10 years Experience in TPP, BI, data reporting Technical Skills Advanced Excel, VBA Macros, Proficient in Python – (NumPy, Pandas), and SQL Familiarity with Power BI Soft Skills: Strong analytical and problem-solving skills. Excellent communication and collaboration abilities. Ability to work independently and manage multiple tasks with tight deadlines

About Position: Persistent is scaling up its global Digital Trust practice. Digital Trust encompasses the domains of Data Privacy, Responsible AI (RAI), GRC (Governance, Risk & Compliance), and other related areas. This is a rapidly evolving domain globally that is at the intersection of technology, law, ethics, and compliance. Team members of this practice get an opportunity to work on innovative and cutting-edge solutions. We are looking for a highly motivated and technically skilled Responsible AI Testing Analyst with 1–3 years of experience to join our Digital Trust team. In this role, you will be responsible for conducting technical testing and validation of AI systems or agents against regulatory and ethical standards, such as the EU AI Act, AI Verify (Singapore), NIST AI RMF, and ISO 42001. This is a technical position requiring knowledge of AI/ML models, testing frameworks, fairness auditing, explainability techniques, and regulatory understanding of Responsible AI. Role: AI Testing Analyst Location: All PSL Location Experience: 1-3 years Job Type: Full Time Employment What You’ll Do: Perform technical testing of AI systems and agents using pre-defined test cases aligned with regulatory and ethical standards. Conduct model testing for risks such as bias, robustness, explainability, and data drift using AI assurance tools or libraries. Support the execution of AI impact assessments and document the test results for internal and regulatory audits. Collaborate with stakeholders to define assurance metrics and ensure adherence to RAI principles. Assist in setting up automated pipelines for continuous testing and monitoring of AI/ML models. Prepare compliance-aligned reports and dashboards showcasing test results and conformance to RAI principles. Expertise You’ll Bring : 1 to 3 years of hands-on experience in AI/ML model testing, validation, or AI assurance roles. Experience with testing AI principles such as fairness, bias detection, robustness, accuracy, explainability, and human oversight. Practical experience with tools like AI Fairness 360, SHAP, LIME, What-If Tool, or commercial RAI platforms Ability to run basic model tests using Python libraries (e.g., scikit-learn, pandas, numpy, tensorflow/keras, PyTorch). Understanding of regulatory implications of high-risk AI systems and how to test for compliance. Strong documentation skills to communicate test findings in an auditable and regulatory-compliant manner. Preferred Certifications (any one or more): AI Verify testing framework training (preferred) IBM AI Fairness 360 Toolkit Certification AI Certification (Google Cloud) – Vertex AI + SHAP/LIME ModelOps/MLOps Monitoring with Bias Detection – AWS SageMaker / Azure ML / GCP Vertex AI TensorFlow Developer / Python for Data Science and AI / Applied Machine Learning in Python Benefits: Competitive salary and benefits package Culture focused on talent development with quarterly promotion cycles and company-sponsored higher education and certifications Opportunity to work with cutting-edge technologies Employee engagement initiatives such as project parties, flexible work hours, and Long Service awards Annual health check-ups Insurance coverage: group term life, personal accident, and Mediclaim hospitalization for self, spouse, two children, and parents Inclusive Environment: Persistent Ltd. is dedicated to fostering diversity and inclusion in the workplace. We invite applications from all qualified individuals, including those with disabilities, and regardless of gender or gender preference. We welcome diverse candidates from all backgrounds. We offer hybrid work options and flexible working hours to accommodate various needs and preferences. Our office is equipped with accessible facilities, including adjustable workstations, ergonomic chairs, and assistive technologies to support employees with physical disabilities. If you are a person with disabilities and have specific requirements, please inform us during the application process or at any time during your employment. We are committed to creating an inclusive environment where all employees can thrive. Our company fosters a values-driven and people-centric work environment that enables our employees to: Accelerate growth, both professionally and personally Impact the world in powerful, positive ways, using the latest technologies Enjoy collaborative innovation, with diversity and work-life wellbeing at the core Unlock global opportunities to work and learn with the industry’s best Let’s unleash your full potential at Persistent “Persistent is an Equal Opportunity Employer and prohibits discrimination and harassment of any kind.”

Python + Frontend Trainer (Full-Time ) Location: Manjeera Trinity, JNTU, Hyderabad Joining: Immediate Joiners Preferred Company: Greatcoder Trainings LLP About Us: Greatcoder Trainings LLP is a fast-growing tech training institute known for delivering real-time project-based training and offering 100% placement support. We are currently hiring a passionate and skilled Python + Frontend Trainer to join our expert team. Key Responsibilities: Conduct in-person training sessions on Python and Frontend technologies Prepare and deliver course materials, assignments, and real-time projects Resolve student queries and provide hands-on guidance Track student performance and offer constructive feedback Assist in mock interviews and assessments Required Skills: Core Python: Variables, Data Types, Loops, Functions, Modules Object-Oriented Programming in Python File Handling and Exception Handling Python Libraries: NumPy, Pandas, Matplotlib (preferred) Frameworks: Django or Flask (any one is a must) Basic understanding of REST APIs Frontend: HTML, CSS, JavaScript ReactJS: Practical and teaching experience Strong communication and presentation abilities Preferred Qualifications: Prior experience in teaching/training (offline or online) Bachelor’s degree in Computer Science or related field (preferred but not mandatory) Benefits: Flexible work modes (Full-time) Health insurance Real-time project exposure Friendly and growth-focused work culture Competitive salary Job Details: Job Type: Full-time Pay: ₹6,00,000 – ₹8,00,000 per year Schedule: Day shift Language: English (Preferred) Work Location: In person (Manjeera Trinity, JNTU, Hyderabad) Apply Now: Send your resume to bhupesh@thegreatcoder.com Contact: 9032190326 Job Type: Full-time Pay: ₹600,000.00 - ₹800,000.00 per year Benefits: Health insurance Schedule: Day shift Ability to commute/relocate: Jntu Kukat Pally, Hyderabad, Telangana: Reliably commute or planning to relocate before starting work (Preferred) Experience: Python: 3 years (Preferred) Language: Telugu (Preferred) English (Preferred) Work Location: In person

Roles & Responsibilities: Professional Skill: Business Analysis, Analytical Thinking, Problem Solving, Decision Making, Leadership, Managerial, Time Management, Domain Knowledge Work simplification - methods that maximize output while minimizing expenditure and cost. Analytics with Data - interprets data and turns it into information which can offer ways to improve a business Communication - Good verbal communication and interpersonal skills are essential for collaborating with customers Technical Skills: Python/Numpy, Seaborn, Pandas, Selenium, Beautiful Soup (basic), Spotfire, ML Libraries, RPA, R, Iron-Python, Html CSS, Javascript, SQL, HQL, Git/Gitlabee, Spark, Scala, Webservices, Spotfire/ Tableau, JIRA Tool Skill: Project management tools, Documentation tools, Modeling [wireframe] tools Database Skills: MsSQL, Postgres, MsAccess, Mongo DB Rigorous - The ability to analyse qualitative data quickly and rigorously Adaptability - Being able to adapt to changing environments and work processes Experience : Minimum 8 years of experience in Data Science / Preferable in Automobile Engineering Domain What we look from candidate who has matching skills on below. Key Skills: DAO - AI/ML, Automation, Python, big query. Project Management*, Agile, SDLC. Location : Chennai - Mahindra World City Campus. Work Mode : Hybrid

#Data Scientist #Data analysis #Retrieval-Augmented Generation (RAG) #Dataanalysis #EDA # #NumPy #scikit-learn #pandas #NLP #NLR #FAISS #AWS #BERT #Python #scikit Job Overview: • Build, train, and validate machine learning models for prediction, classification, and clustering to support NBA use cases. • Conduct exploratory data analysis (EDA) on both structured and unstructured data to extract actionable insights and identify behavioral drivers. • Design and deploy A/B testing frameworks and build pipelines for model evaluation and continuous monitoring. • Develop vectorization and embedding pipelines using models like Word2Vec, BERT, to enable semantic understanding and similarity search. • Implement Retrieval-Augmented Generation (RAG) workflows to enrich recommendations by integrating internal and external knowledge bases. • Collaborate with cross-functional teams (engineering, product, marketing) to deliver data-driven Next Best Action strategies. • Present findings and recommendations clearly to technical and non-technical stakeholders. Required Skills & Experience: • Strong programming skills in Python, including libraries like pandas, NumPy, and scikit-learn. • Practical experience with text vectorization and embedding generation (Word2Vec, BERT, SBERT, etc.). • Proficiency in Prompt Engineering and hands-on experience in building RAG pipelines using LangChain, Haystack, or custom frameworks. • Familiarity with vector databases (e.g., PostgreSQL with pgvector, FAISS, Pinecone, Weaviate). • Expertise in Natural Language Processing (NLP) tasks such as NER, text classification, and topic modeling. • Sound understanding of supervised learning, recommendation systems, and classification algorithms. • Exposure to cloud platforms (AWS, GCP, Azure) and containerization tools (Docker, Kubernetes) is a plus.