274 Nltk Jobs - Page 5

Job Description About the Role: We are seeking a highly skilled CDP & Marketing Analytics Specialist to join our digital transformation team. The ideal candidate will have hands-on experience with Customer Data Platforms (CDPs) and a deep understanding of customer data ingestion, real-time data pipelines, and AI-driven marketing strategies . You will be responsible for leveraging advanced analytics and machine learning to enable data-driven decision-making and hyper-personalized marketing at scale Key Responsibilities: Design and implement end-to-end customer data ingestion strategies from diverse sources (CRM, web, mobile, social, PoS, etc.) into a unified CDP. Build and maintain real-time streaming data pipelines using tools such as Azure Data Factory, Databricks, Kafka , etc. Design and implement composable Customer Data Platforms (CDPs) leveraging modern data platforms such as Snowflake, Databricks, and similar technologies. Develop and deploy AI/ML-driven customer segmentation models (behavioral, demographic, predictive — e.g., high CLV, churn-risk clusters). Perform advanced analytics, including: Customer Lifetime Value (CLV) estimation Churn prediction and retention modeling Attribution analysis to evaluate campaign ROI Sentiment and intent analysis using NLP on social media, chat, and survey data Next Best Action (NBA) models to dynamically recommend personalized offers, content, or touchpoints across channels. Propensity model to forecast the likelihood of customer actions such as purchases, upgrades, or churn. Build and operationalize predictive models and apply GenAI techniques for: Automated customer service chatbots Content generation and personalization Synthetic data generation for simulation and testing Implement real-time decisioning engines and API-based integrations with advertising platforms (Google Ads, Meta, etc.) for dynamic campaign execution. Continuously monitor and tune models and pipelines for optimal performance and data freshness. Collaborate with cross-functional teams including marketing, data engineering, product, and analytics Qualifications: Bachelor's or master’s degree in computer science, Data Science, Marketing Analytics, or a related field. 5+ years of experience in CDP implementation and marketing analytics. Experience with tools like Hightouch, Segment, mParticle, Treasure Data, Amperity, Simon data, or Salesforce CDP (Experience in any one tool is mandatory). Exposure to MLOps practices and model monitoring pipelines. Strong proficiency in Python, SQL, and ML frameworks (e.g., scikit-learn, TensorFlow, PyTorch). Experience with cloud platforms and tools like Azure Data Factory, Databricks, Synapse, Snowflake. Hands-on experience with NLP techniques and libraries (e.g., spaCy, NLTK, transformers). Experience deploying GenAI applications and understanding of LLM frameworks. Familiarity with campaign attribution models, marketing funnels, and retention strategies. Excellent analytical, communication, and stakeholder management skills. Preferred Skills: Prior experience in B2C/D2C industries (e.g., retail, travel & hospitality, e-commerce). Additional Information Required Qualification Bachelor of Computer Applications (B.C.A.) , Job Types: Full-time, Permanent Pay: ₹1,600,000.00 - ₹2,100,000.00 per year Application Question(s): Experience with tools like Hightouch, Segment, mParticle, Treasure Data, Amperity, Simon data, or Salesforce CDP.? ? Experience in Python, SQL and AI/ML Frameworks? (Please mention separately) ? Experience in Azure Data Factory, Databricks, Synapse, Snowflake? (Please specify the tools) ? Experience deploying GenAI applications? Experience: CDP implementation and marketing analytics: 6 years (Preferred) Work Location: In person

AIML Lead/ Architect: JD: Design, develop, and deploy machine learning models and algorithms using Python. Develop natural language processing (NLP) applications for text analysis and understanding. Utilize analytics workbench tools to create and manage data pipelines and workflows. Collaborate with data scientists, software engineers, and other stakeholders to understand project requirements and deliver effective solutions. Conduct research and stay updated with the latest advancements in AI and ML technologies. Ensure the scalability and performance of AI/ML solutions through rigorous testing and optimization. Requirements: Bachelor's or Master's degree in Computer Science, Engineering, or a related field. Proven experience as an AI/ML Engineer or similar role. Strong proficiency in Python and its libraries (e.g., TensorFlow, PyTorch, scikit-learn). Experience with NLP frameworks and libraries (e.g., NLTK, spaCy, Transformers). Familiarity with analytics workbench tools and data pipeline management. Excellent problem-solving skills and attention to detail. Strong communication and teamwork abilities. Preferred Qualifications: Experience with cloud platforms (e.g., AWS, Azure, Google Cloud) for deploying AI/ML solutions. Knowledge of Gen AI/ LLMs Preferrable. Certification in AI/ML or related technologies. About Virtusa Teamwork, quality of life, professional and personal development: values that Virtusa is proud to embody. When you join us, you join a team of 27,000 people globally that cares about your growth — one that seeks to provide you with exciting projects, opportunities and work with state of the art technologies throughout your career with us. Great minds, great potential: it all comes together at Virtusa. We value collaboration and the team environment of our company, and seek to provide great minds with a dynamic place to nurture new ideas and foster excellence. Virtusa was founded on principles of equal opportunity for all, and so does not discriminate on the basis of race, religion, color, sex, gender identity, sexual orientation, age, non-disqualifying physical or mental disability, national origin, veteran status or any other basis covered by appropriate law. All employment is decided on the basis of qualifications, merit, and business need.

Note If shortlisted, we’ll contact you via WhatsApp and email. Please monitor both and respond promptly. Location: Hyderabad Work Mode: Work from Office Salary : INR(₹) 1,600,000 to 2,200,000 Joining Time / Notice Period: Immediate – 15 days About The Client We’re hiring for a leading digital-first company driving large-scale transformation through AI, analytics, and cloud technologies. Focused on hyper-personalized customer experiences, they implement modern CDPs and marketing intelligence systems to unlock data-driven growth across industries. Job Purpose The client is looking for an experienced CDP & Marketing Analytics Specialist to lead the implementation and optimization of Customer Data Platforms (CDPs) and AI-powered marketing analytics. The role aims to bridge data engineering and marketing strategy, enabling real-time personalization, intelligent decisioning, and performance tracking through advanced data ingestion, ML modeling, and GenAI applications. Roles And Responsibilities Architect and implement customer data ingestion pipelines from sources like CRM, mobile, PoS, and social media into a unified CDP. Build real-time streaming data pipelines using Azure Data Factory, Databricks, Kafka, and similar tools. Design composable CDP solutions on modern data platforms like Snowflake or Databricks. Develop and operationalize AI/ML models for customer segmentation, churn prediction, lifetime value analysis, and campaign attribution. Apply NLP techniques for sentiment analysis, intent detection, and dynamic engagement strategies. Build Next Best Action (NBA) and propensity models for predictive targeting and optimization. Must-Have Qualifications & Skills Bachelor's or Master’s degree in Computer Science, Data Science, Marketing Analytics, or a related field. 5+ years of hands-on experience in CDP implementation and marketing analytics. Strong programming skills in Python and SQL; experienced with ML frameworks such as scikit-learn, TensorFlow, or PyTorch. Proven expertise in cloud platforms (Azure Data Factory, Databricks, Synapse, Snowflake). Practical experience with NLP libraries such as spaCy, NLTK, or Hugging Face Transformers. Experience in building and deploying GenAI applications including chatbots, dynamic content, and synthetic data. Show more Show less

Hello! You've landed on this page, which means you're interested in working with us. Let's take a sneak peek at what it's like to work at Innovaccer. Engineering at Innovaccer With every line of code, we accelerate our customers' success, turning complex challenges into innovative solutions. Collaboratively, we transform each data point we gather into valuable insights for our customers. Join us and be part of a team that's turning dreams of better healthcare into reality, one line of code at a time. Together, we’re shaping the future and making a meaningful impact on the world. About the Role The technology that once promised to simplify patient care has brought more issues than anyone ever anticipated. At Innovaccer, we defeat this beast by making full use of all the data Healthcare has worked so hard to collect, and replacing long-standing problems with ideal solutions. Data is our bread and butter for innovation. We are looking for Interns who are passionate about solving some real world healthcare problems. In this role, they will leverage the healthcare data to build algorithms to personalize treatments based on the clinical and behavioural history of patients. We are looking for superstars who will define and build the next generation of predictive analytics tools in healthcare. A Day in the life Development of various AI & BI initiatives to help improve health and wellness of patients Write well-documented maintainable python code Coordinate with the other team members in the development processes Work with the leaders and other stakeholders to understand their pain-points and build large-scale solutions Work with our data platform and to help them successfully integrate the AI capability or algorithms in the platform Define and execute on the roadmap What You Need Strong hands-on experience in Python Understanding of LLMs, Agentic Framework Understanding of Python Frameworks like FastAPI, Django, etc. Experience in manipulating/transforming data, model selection, and model training Knowledge of NLP Libraries like spaCy, NLTK Understanding of Deep Learning Frameworks like Keras, TensorFlow Strong written and spoken communication skills Coordinate management activities with others on the team The core skills we are seeking includes: - Python - Django / Flask / Fast API Additionally, the following skills are good to have: -Generative AI, LLMs, LangChain -Power BI -Natural Language Processing (NLP) -Deep Learning, Machine Learning Here’s What We Offer Generous Leave Benefits: Enjoy generous leave benefits of up to 40 days. Parental Leave: Experience one of the industry's best parental leave policies to spend time with your new addition. Sabbatical Leave Policy: Want to focus on skill development, pursue an academic career, or just take a break? We've got you covered. Health Insurance: We offer health benefits and insurance to you and your family for medically related expenses related to illness, disease, or injury. Pet-Friendly Office*: Spend more time with your treasured friends, even when you're away from home. Bring your furry friends with you to the office and let your colleagues become their friends, too. *Noida office only Creche Facility for children*: Say goodbye to worries and hello to a convenient and reliable creche facility that puts your child's well-being first. *India offices Where and how we work Our Noida office is situated in a posh techspace, equipped with various amenities to support our work environment. Here, we follow a five-day work schedule, allowing us to efficiently carry out our tasks and collaborate effectively within our team. Innovaccer is an equal-opportunity employer. We celebrate diversity, and we are committed to fostering an inclusive and diverse workplace where all employees, regardless of race, color, religion, gender, gender identity or expression, sexual orientation, national origin, genetics, disability, age, marital status, or veteran status, feel valued and empowered. About Innovaccer Innovaccer Inc. is the data platform that accelerates innovation. The Innovaccer platform unifies patient data across systems and care settings and empowers healthcare organizations with scalable, modern applications that improve clinical, financial, operational, and experiential outcomes. Innovaccer’s EHR-agnostic solutions have been deployed across more than 1,600 hospitals and clinics in the US, enabling care delivery transformation for more than 96,000 clinicians, and helping providers work collaboratively with payers and life sciences companies. Innovaccer has helped its customers unify health records for more than 54 million people and generate over $1.5 billion in cumulative cost savings. The Innovaccer platform is the #1 rated Best-in-KLAS data and analytics platform by KLAS, and the #1 rated population health technology platform by Black Book. For more information, please visit innovaccer.com . Check us out on YouTube , Glassdoor , LinkedIn , and innovaccer.com . Show more Show less

Lead Data Scientist Title: Lead Data Scientist Role Description: This is a full-time remote role for a Lead Data Scientist at Birdeye. Primary Skills: Data Science, AI/ML, GenAI, LLM, NLP, Any Cloud (Azure/AWS/GCP), MLOps Roles & Responsibilities: Develop custom data models and algorithms to apply to data sets. Developing and implementing advanced machine learning models to address complex problems. Clearly communicate findings and recommendations, data-driven insights to PMs and executives. Develop custom data models and algorithms to apply to data sets. Developing and implementing advanced machine learning models to address complex problems. Lead and mentor a team of data scientists, providing guidance on best practices and technical expertise. Collaborate with cross-functional teams to define data-driven strategies and integrate data science solutions into products. Continuously evaluate and improve the performance of existing models and algorithms. Stay updated with the latest advancements in AI/ML and propose innovative solutions to enhance the company's capabilities. Qualifications: Bachelors/Masters degree in Computer Science, Engineering, or a related technical field with minimum 5-8 years' experience. Minimum of 2 years of experience in leading a team of junior Data Scientist. Should have been involved in end-to-end delivery of the scalable, optimized and enterprise AI solutions. Experience in performing prompt engineering and fine-tuning of the AI/ML, GenAI, LLM models. Practical hands-on fine-tuning/transfer learning/optimization of the Transformer architecture based Deep Learning models. Experience in NLP tools such as Word2Vec, TextBlob, NLTK, SpaCy, Gensim, CoreNLP, BERT, GloVe etc. Experience in AWS / Azure / GCP cloud and deploying the APIs using the latest frameworks like FastAPI/ gRPC etc. Experience in Docker for deploying the containers. Deployment of the ML models on the Kubernetes clusters Experience in NoSQL/SQL databases. Good programming skills in Python. Domain knowledge in Online Reputation management or experience in a product-based company (added advantage). Expertise in delivering end-to-end analytical solutions covering multiple technologies & tools to multiple business problems. Understanding of big data technologies like Hadoop, Spark, and Hive. Strong knowledge of statistical methods and experimental design. Experience with MLOps practices for CI/CD in machine learning. Strong project management skills, with the ability to manage multiple projects simultaneously. Excellent communication and presentation skills, with the ability to explain complex technical concepts to non-technical stakeholders. Interested candidates, please send their resumes to iqbal.kaur@birdeye.com Regards Iqbal kaur Show more Show less

Title: Senior Data Scientist (NLP) Primary Skills: Data Science, AI/ML, GenAI, LLM, NLP, Any Cloud (Azure/AWS/GCP) Roles & Responsibilities: Develop custom data models and algorithms to apply to data sets. Developing and implementing advanced machine learning models to address complex problems. Clearly communicate findings and recommendations, data-driven insights to PMs and executives. Qualifications: Bachelors/Masters degree in Computer Science, Engineering, or a related technical field with minimum 5 years' experience. Experience in performing prompt engineering and fine-tuning of the AI/ML, GenAI, LLM models. Practical hands-on fine-tuning/transfer learning/optimization of the Transformer architecture-based Deep Learning models. Experience in NLP tools such as Word2Vec, TextBlob, NLTK, SpaCy, Gensim, CoreNLP, BERT, GloVe etc. Experience in AWS / Azure / GCP cloud and deploying the APIs using the latest frameworks like FastAPI/ gRPC etc. Experience in Docker for deploying the containers. Deployment of the ML models on the Kubernetes clusters Experience in NoSQL/SQL databases. Good programming skills in Python. Domain knowledge in Online Reputation management or experience in a product-based company (added advantage). Expertise in delivering end-to-end analytical solutions covering multiple technologies & tools to multiple business problems. Interested candidates, please send their resumes to iqbal.kaur@birdeye.com Regards Iqbal kaur Show more Show less

The remote work revolution is here to stay, especially in the tech industry. With Hyderabad fast becoming a major technology hub in India, there’s a massive surge in demand for high-paying work-from-home jobs for tech professionals. Whether you’re a software engineer, cloud architect, data analyst, or cybersecurity expert, companies are actively seeking skilled professionals who can work remotely. In this article, we’ll explore the top-paying WFH jobs for tech professionals in Hyderabad , the skills you need , companies hiring in 2025 , and answers to your most asked questions. 🌐 Why Tech Professionals Prefer Remote Work Work-from-home jobs offer more than just comfort and convenience. Here’s why tech professionals in Hyderabad are choosing remote roles: Higher salaries from international and pan-India companies Flexible schedules to balance work-life Opportunity to freelance or consult multiple clients No relocation or commute costs Access to global projects without leaving home 🧑‍💻 Top High-Paying Work from Home Jobs for Tech Professionals in Hyderabad Below are the most in-demand and well-paying remote jobs in Hyderabad for experienced and skilled techies. Full Stack Developer Overview: Tech companies are always hiring skilled full stack developers who can work on both frontend and backend development. Skills Required: HTML, CSS, JavaScript Node.js, React, Angular MongoDB, MySQL Git, RESTful APIs Top Employers: TCS Accenture Infosys Zoho Average Salary (Remote): ₹10–20 LPA Cloud Solutions Architect Overview: Cloud computing roles are in high demand with companies moving infrastructure to the cloud. Skills Required: AWS, Microsoft Azure, Google Cloud DevOps & Infrastructure as Code (IaC) Kubernetes, Docker Load balancing and cloud security Companies Hiring: Amazon Web Services (AWS) Tech Mahindra Microsoft Startups using microservices architecture Average Salary: ₹15–30 LPA Also Read: Best Work from Home Jobs in Hyderabad for Freshers and College Students Data Scientist / ML Engineer Overview: Data is the new oil, and Hyderabad companies are investing in predictive analytics, AI, and machine learning. Skills Required: Python, R TensorFlow, PyTorch SQL, Hadoop Data visualization tools (Tableau, Power BI) Top Recruiters: Deloitte Invesco Fractal Analytics Startups in fintech & healthtech Average Salary: ₹12–25 LPA Cybersecurity Analyst Overview: With remote work growing, cybersecurity experts are essential for data protection and risk management. Skills Required: Network security Firewalls, IDS/IPS Ethical hacking, penetration testing SIEM tools like Splunk, IBM QRadar Top Hiring Companies: HCL Technologies PwC Cognizant Global MNCs with security ops centers (SOCs) Average Salary: ₹10–22 LPA DevOps Engineer Overview: DevOps experts bridge the gap between development and operations, automating the deployment process. Skills Required: Jenkins, Docker, Kubernetes Terraform, Ansible CI/CD pipelines Git, scripting (Shell/Python) Hiring Companies: Accenture IBM Zensar SaaS startups Average Salary: ₹12–24 LPA Blockchain Developer Overview: With increased focus on Web3 and fintech in Hyderabad, blockchain is now a lucrative remote field. Skills Required: Solidity, Ethereum Smart contract development Web3.js, IPFS Crypto wallets and dApps Companies Hiring: CoinDCX WazirX Emerging fintech & Web3 startups Average Salary: ₹15–28 LPA AI / NLP Engineer Overview: Natural Language Processing is being used across chatbots, voice assistants, and automation tools. Skills Required: Python, spaCy, NLTK Transformers, HuggingFace Deep learning, BERT, GPT Top Employers: Google Hyderabad AI startups EdTech platforms Average Salary: ₹14–30 LPA Remote QA Automation Engineer Overview: Automation testers are crucial in agile development to ensure faster delivery and minimal bugs. Skills Required: Selenium, Cypress JMeter, Postman Jenkins, Maven Java, Python scripting Companies Hiring: Infosys Cognizant Product-based startups Average Salary: ₹8–18 LPA Remote Product Manager (Tech) Overview: For those with both technical and managerial acumen, PM roles are rewarding and fully remote in many firms. Skills Required: Agile methodologies JIRA, Asana UI/UX understanding Communication & leadership Companies Hiring: SaaS startups Healthtech firms Remote-first companies Average Salary: ₹20–35 LPA Freelance Tech Consultant Overview: Senior-level professionals often choose freelancing for better flexibility and pay per project. Services Offered: Software architecture Cloud migration Technical training & mentorship Best Platforms: Toptal Upwork Freelancer Earning Potential: ₹50,000 – ₹3 lakhs/month depending on projects Also Read: Genuine Work from Home Jobs in Kolkata Without Investment 💼 Top Companies Offering Remote Tech Jobs in Hyderabad (2025) Here’s a look at companies actively hiring tech professionals remotely: Company Roles Available Remotely TCS Full stack, Cloud, Testing, DevOps Cognizant Cybersecurity, Automation, Data Analytics Microsoft Azure, AI/ML, Product, QA Amazon India Cloud, NLP, Product Management Tech Mahindra DevOps, Security, Full Stack Accenture Data science, QA, Agile management Zoho Frontend, Backend, Cloud Invesco BI, Analytics, Cybersecurity Infosys Java, Python, QA Automation Technical Skills: 📚 Skills Needed for High-Paying Remote Tech Jobs Proficiency in modern programming languages Cloud technologies (AWS, Azure, GCP) CI/CD tools and automation platforms Machine learning and data analysis Cybersecurity frameworks Soft Skills: Communication and collaboration Remote work discipline Problem-solving abilities Time management Self-motivation and adaptability 🛠 Tools That Tech Professionals Should Master for Remote Work Tool / Platform Purpose GitHub / GitLab Version control and collaboration Slack / Microsoft Teams Team communication Zoom / Google Meet Video conferencing JIRA / Trello Project management Docker / Kubernetes Containerization and orchestration AWS / Azure Cloud services 📍 How to Find High-Paying Remote Tech Jobs in Hyderabad LinkedIn Use filters like “Remote” + “Hyderabad” in job search Connect with hiring managers and recruiters Naukri.com Create alerts for WFH roles Search roles by skill + remote (e.g., “AWS Developer remote”) AngelList (Wellfound) Great for startup jobs with high pay and equity options Toptal & Upwork For freelancers & consultants looking for global clients Company Career Pages Visit tech companies’ job portals and apply for remote listings 🚀 Tips to Land High-Paying Remote Tech Jobs Build a Strong GitHub Portfolio showcasing real projects Get Certified in AWS, Azure, Data Science, or Cybersecurity Update your LinkedIn with remote-ready skills Learn Communication Tools used by remote teams (Slack, Teams) Attend Virtual Tech Conferences to network with remote-first companies Highlight Remote Work Skills on your resume Prepare for Virtual Interviews with good camera setup and environment 🏁 Conclusion – High-Paying Work from Home Jobs in Hyderabad Remote work has become a reality — and Hyderabad, being a major tech city, is offering a goldmine of opportunities for tech professionals who prefer working from home. Whether you’re a developer, data analyst, cybersecurity expert, or DevOps engineer, there’s a high-paying work-from-home job waiting for you . By sharpening your skills, leveraging online platforms, and aligning with the needs of remote-first companies, you can build a successful tech career from the comfort of your home in Hyderabad. ❓ FAQs – High-Paying Work from Home Jobs in Hyderabad What are the best high-paying WFH jobs for techies in Hyderabad? Full stack developers, cloud architects, ML engineers, and DevOps engineers are some of the top-paying remote roles. Can I work remotely for international companies from Hyderabad? Yes. Platforms like Toptal, Upwork, and GitHub Jobs allow Indian professionals to work for global clients. What’s the minimum experience needed for high-paying remote jobs? Most roles require 2–5 years of experience, though startups often hire based on skills and projects. How do I verify if a remote tech job offer is genuine? Check company credentials, look for official email domains, and avoid paying any registration fees. Are cybersecurity roles available remotely? Absolutely. Many companies hire remote security analysts, penetration testers, and SOC professionals. How much can a cloud architect earn working from home? In Hyderabad, cloud architects working remotely can earn ₹15–30 LPA or more depending on skills and certifications. Which certifications help in getting high-paying WFH tech jobs? AWS Certified Solutions Architect, Azure Fundamentals, Google Cloud Engineer, Certified Ethical Hacker, and PMP. Is freelancing a good option for experienced tech professionals? Yes. Freelancing offers flexibility and competitive international pay, especially for experienced consultants. Are remote roles full-time or contract-based? Both. Many companies offer full-time remote roles with benefits, while others hire on a contract basis. What are the challenges of remote work in tech? Time zone differences, communication gaps, and the need for self-discipline. These can be managed with proper planning. Related Posts: Top Work from Home Jobs in Hyderabad Hiring Now Top 10 Remote Customer Service Jobs You Can Start Today The Pros and Cons of Working Remote Data Entry Jobs How to Land Your First Remote Entry-Level Job: Tips and Tricks How to Thrive in Remote Customer Service Jobs: Tips for Success Best Remote Customer Success Jobs You Can Work From Anywhere Top Remote Front End Developer Jobs Hiring in 2025 Top 10 Work from Home Jobs in Delhi Hiring Now Show more Show less

Coditas Solutions is seeking a highly skilled and motivated Lead Data Scientist to join our dynamic team. As a Data Scientist, you will play a key role in designing, implementing, and optimizing machine learning models and algorithms to solve complex business challenges. If you have a passion for leveraging AI and ML technologies to drive innovation, this is an exciting opportunity to contribute to groundbreaking projects. Roles and Responsibilities Lead the design, implementation, and optimization of machine learning and AI models using Python and R. Develop and deploy scalable predictive models and decision-making systems for business-critical applications. Conduct advanced exploratory data analysis (EDA) to extract actionable insights from structured and unstructured data. Collaborate with data engineers to ensure high-quality, well-structured datasets for training and inference. Own the end-to-end model lifecycle, from development to deployment, monitoring, and continuous improvement. Guide the integration of AI/ML models into enterprise-level production systems in collaboration with software engineering teams. Provide technical leadership, mentoring junior data scientists and driving best practices in ML model development and deployment. Stay ahead of the curve by evaluating and implementing cutting-edge AI/ML advancements, including LLMs and GenAI models. Work closely with stakeholders, product teams, and clients to define business challenges and design AI-driven solutions. Drive model interpretability, explainability, and responsible AI practices within the organization. Technical Skills 6-14 years of hands-on experience in designing and implementing machine learning, deep learning, and AI solutions . Strong programming expertise in Python and R , with proficiency in implementing complex algorithms. Extensive experience with cloud platforms (AWS, Azure, GCP) for deploying scalable machine learning solutions. Proficiency in MLOps practices , ensuring robust model deployment, monitoring, and retraining workflows. Strong background in classical ML algorithms (e.g., linear regression, logistic regression, decision trees, random forests, SVM) and deep learning architectures (CNNs, RNNs, Transformers). Hands-on experience with ML/DL libraries such as Scikit-learn, TensorFlow, PyTorch, Keras, NLTK, OpenCV . Expertise in data preprocessing, feature engineering, and model evaluation for structured and unstructured data. Proven experience in selecting and engineering relevant features to enhance model performance. Understanding of LLMs (Large Language Models) and GenAI technologies , with the ability to optimize their usage for enterprise applications. Strong problem-solving, critical thinking, and analytical skills to drive AI/ML innovations. Exceptional communication and leadership skills , with experience in mentoring teams and collaborating with cross-functional stakeholders. Join our team and be part of a fast-paced and innovative work environment where your expertise will make a significant impact on our organization's growth and success. Show more Show less

Job Overview: We are seeking a talented and motivated AI Engineer with expertise in Large Language Models (LLMs), Natural Language Processing (NLP), and Speech-to-Text technologies. As part of our dynamic team, you will develop, implement, and optimize cutting-edge AI solutions to improve our products and services. Your work will focus on leveraging language models, building NLP systems, and integrating speech-to-text technologies for seamless communication and enhanced user experiences. Location: Hyderabad (5 Days work from office) Working Days: Sunday- Thursday Timings: 10 AM-6 PM Key Responsibilities: LLM Development & Integration: Fine-tune and deploy large language models for specific applications, such as chatbots, content generation, and customer support Evaluate and improve the performance of LLMs in real-world scenarios NLP System Design: Design and implement NLP algorithms for tasks like text classification, sentiment analysis, entity recognition, and summarization Work with large datasets to train and validate NLP models Collaborate with cross-functional teams to identify and address language-based challenges Speech-to-Text Implementation: Develop and optimize speech-to-text pipelines for various languages and dialects Integrate speech recognition systems with NLP and LLM solutions for end-to-end functionality Stay updated on the latest advancements in automatic speech recognition (ASR) Performance Optimization: Enhance AI model efficiency for scalability and real-time processing Address biases, improve accuracy, and ensure robustness in all models Research and Innovation: Stay abreast of the latest research in LLM, NLP, and speech technologies Experiment with emerging techniques and integrate them into company solutions Documentation and Collaboration: Maintain comprehensive documentation for models, processes, and systems Collaborate with product managers, software engineers, and other stakeholders Requirements Qualifications: Minimum 8+ years of experience required Bachelor's/Master's degree in Computer Science, Artificial Intelligence, Data Science, or a related field Proven experience in LLM development (e.g., OpenAI, GPT, or similar frameworks) Strong understanding of NLP techniques and libraries (e.g., spaCy, NLTK, Hugging Face) Hands-on experience with speech-to-text systems like Google Speech API, Whisper, or similar technologies Proficiency in programming languages such as Python, along with frameworks like TensorFlow or PyTorch Strong problem-solving skills, a collaborative mindset, and the ability to manage multiple projects simultaneously Show more Show less

Opportunities: Full-time remote or work-from-home Day shift, AEST Health Insurance Career Growth About the Role: We are looking for a passionate and motivated individual to join our team as an AI & Data Science Engineer. If you have a strong foundation in Python programming, SQL, and working with APIs, and are eager to learn and grow in the field of Artificial Intelligence (AI), Natural Language Processing (NLP), and Machine Learning (ML), this role is perfect for you! As part of our team, you will have the opportunity to work on cutting-edge AI technologies, including generative AI models, and develop solutions that solve real-world problems. Key Responsibilities: Learn and contribute to the design and development of AI and machine learning models. Work with structured and unstructured data to uncover insights and build predictive models. Assist in creating NLP solutions for tasks like text classification, sentiment analysis, and summarisation. Gain hands-on experience in deep learning for image processing, speech recognition, and generative AI. Write clean and efficient Python code for data analysis and model development. Work with SQL databases to retrieve and analyse data. Learn how to integrate APIS into AI workflows. Explore Generative AI technologies (e.g., GPT, DALL·E) and contribute to innovative solutions. Collaborate with senior team members to develop impactful AI-powered applications. Document your findings and contribute to knowledge-sharing within the team. Required Skills & Qualifications: Bachelor’s or Master’s degree in Computer Science, Data Science, Engineering, or a related field. Strong Python programming skills and familiarity with libraries like Pandas, NumPy, and Matplotlib. Basic knowledge of SQL for data manipulation and extraction. Understanding of Machine Learning concepts and algorithms. Interest in Natural Language Processing (NLP) and familiarity with tools like spaCy, NLTK, or Hugging Face is a plus. Willingness to learn and work with Deep Learning frameworks such as TensorFlow or PyTorch. Problem-solving mindset with the ability to work independently and within a team. Good communication skills and enthusiasm for learning new technologies. Technical requirements: Windows 11 operating system or MacOS 13+ 256GB Storage space - minimum 16GB RAM - minimum Dual Core CPU - minimum Camera: HD Webcam (720p) Headset: Noise-cancelling (preferably) Internet Speed: 50 Mbps - minimum Why Join Us? Opportunity to work on cutting-edge data science, machine learning, and AI projects. A collaborative and inclusive work environment that values continuous learning and innovation. Access to resources and mentorship to enhance your skills in NLP, ML, DL, and Generative AI . Competitive compensation package and growth opportunities. Note: Include your LinkedIn Account in your Resume About The Company: Freedom Property Investors is the largest and number one property investment company in Australia, with its main offices in the Sydney and Melbourne CBDs. We were awarded the 3rd fastest-growing business in Australia across all industries according to the Australian Financial Review. We are privileged to have 25+ years of combined experience between our two founders, who served over 10,000 valued members and over 300 full-time staff spread across Australia and growing. We pride ourselves on being the industry leaders. It is our mission to serve our valued members, earning over 2,054 positive Google reviews and a 4.8 Star rating, this is unheard of in our industry. We are in need of people who share the same values as we do. This opportunity is open to all driven individuals who are committed to helping people and earning life-changing income. Join Australia’s largest and number 1 property investment team and contribute to our mission to help Australians achieve their goals of financial freedom every day. Apply now!!! Show more Show less

Job Description The Global Data Insights and Analytics (GDI&A) department at Ford Motors Company is looking for qualified people who can develop scalable solutions to complex real-world problems using Machine Learning, Big Data, Statistics, Econometrics, and Optimization. The goal of GDI&A is to drive evidence-based decision making by providing insights from data. Applications for GDI&A include, but are not limited to, Connected Vehicle, Smart Mobility, Advanced Operations, Manufacturing, Supply chain, Logistics, and Quality Analytics. Potential candidates should have excellent depth and breadth of knowledge in machine learning, data mining, and statistical modeling. They should possess the ability to translate a business problem into an analytical problem, identify the relevant data sets needed for addressing the analytical problem, recommend, implement, and validate the best suited analytical algorithm(s), and generate/deliver insights to stakeholders. Candidates are expected to regularly refer to research papers and be at the cutting-edge with respect to algorithms, tools, and techniques. The role is that of an individual contributor; however, the candidate is expected to work in project teams of 2 to 3 people and interact with Business partners on regular basis. Responsibilities 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 Data science, computer science, Operational research, Statistics, Applied mathematics, or in any other engineering discipline. 3+ 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 QlikSense. 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, Palm, Llama-2, etc. Excellent problem solving, communication, and data presentation skills. Show more Show less

We are looking for Indias top 1% NLP Engineers for a unique job opportunity to work with the industry leaders Who can be a part of the community? We are looking for top-tier Natural Language Processing Engineers with experience in text analytics, LLMs, and speech processing If you have experience in this field then this is your chance to collaborate with industry leaders Whats in it for you? Pay above market standards The role is going to be contract based with project timelines from 2 12 months, or freelancing Be a part of Elite Community of professionals who can solve complex AI challenges Work location could be: Remote (Highly likely) Onsite on client location Deccan AIs Office: Hyderabad or Bangalore Responsibilities: Develop and optimize NLP models (NER, summarization, sentiment analysis) using transformer architectures (BERT, GPT, T5, LLaMA) Build scalable NLP pipelines for real-time and batch processing of large text data and optimize models for performance and deploy on cloud platforms (AWS, GCP, Azure) Implement CI/CD pipelines for automated training, deployment, and monitoring & integrate NLP models with search engines, recommendation systems, and RAG techniques Ensure ethical AI practices and mentor junior engineers Required Skills: Expert Python skills with NLP libraries (Hugging Face, SpaCy, NLTK) Experience with transformer-based models (BERT, GPT, T5) and deploying at scale (Flask, Kubernetes, cloud services) Strong knowledge of model optimization, data pipelines (Spark, Dask), and vector databases Familiar with MLOps, CI/CD (MLflow, DVC), cloud platforms, and data privacy regulations Nice to Have: Experience with multimodal AI, conversational AI (Rasa, OpenAI API), graph-based NLP, knowledge graphs, and A/B testing for model improvement Contributions to open-source NLP projects or a strong publication record What are the next steps? Register on our Soul AI website Our team will review your profile Clear all the screening rounds: Clear the assessments once you are shortlisted Profile matching and Project Allocation: Be patient while we align your skills and preferences with the available project Skip the Noise Focus on Opportunities Built for You! Location : - Mumbai, Delhi / NCR, Bengaluru , Kolkata, Chennai, Hyderabad, Ahmedabad, Pune,India

TCS is conducting Virtual drive on Friday dated 6th June, 2025 Position: AI Engineer Location: Pune Years of Experience: 5-9 yrs(Accurate) Notice Period: Immediate Joiners or 0-30 days NP (Note: Candidates sharing details below experience range will not be considered) Responsibilities: Strong understanding of machine learning techniques, including deep learning, reinforcement learning, and predictive modeling. Demonstrable experience in AI, ML, NLP, or related fields, with a robust portfolio showcasing practical application of these technologies. Proficient in Python and familiar with frameworks for AI development, such as TensorFlow, PyTorch, Keras, scikit-learn, NLTK, Langchain. Experience in utilizing Python libraries such as NumPy, Pandas, Matplotlib, Plotly Proficient in programming languages such as Python Experience with ML, deep learning, TensorFlow, Python, NLP Experience in program leadership, governance, and change enablement Knowledge of basic algorithms, object-oriented and functional design principles, and best-practice patterns Experience in REST API development, NoSQL database design, and RDBMS design and optimizations Familiarity with modern data platforms and cloud services like AWS, Azure for deploying scalable AI solutions. Kindly attach your updated CVs Thanks & Regards Shilpa Silonee Show more Show less

As an AI Engineer, you will use modern data architecture, algorithms, and processes to help our customers meet key business objectives. In this role, you may create, review, and optimise algorithms and processes for our customers in the 0-1 and 1-n journey. Responsibilities: Architect: Choose the right tools, frameworks, and cloud services to meet business goals. Educate: Advise and educate customers on how to use different data engineering, AI/ML algorithms, strategies, and processes from the many options available. Build: Build a data pipeline that processes, stores, integrates, and analyzes large volumes of data in record time. Create visualisations and insights from the data in order to take informed and data-backed business decisions. Build or leverage AI/ML algorithms to solve real business problems. Communicate: Proactively communicate with your team. Raise blockers, brainstorm solutions, and seek early feedback. Review: Participate in peer reviews to ensure quality deliverables. Tests, Monitoring, and Observability: Write test suites and build automated CI and CD pipelines to deliver more releases and reduce manual effort. Create automated mechanisms to evaluate models with changing variable conditions. Bake in observability and monitoring to ensure outputs are in line with expectations. Learn: Learn from the practices followed by other teams and evangelize your learnings. Showcase: Share your learnings on internal and customer projects via articles, case studies, books, and webinars. Requirements: Full Stack Development is a must. Experience with relevant frontend, backend frameworks like React, Next, Node/golang/Python is a must. Experience with cloud providers like AWS/GCP is a must. Proficiency in designing, deploying, fine-tuning, and evaluating LLMs (including RAG and vectorDB integrations) with built-in observability and monitoring. Hands-on experience with AI/MLOps workflows and tools (e. g., MLflow, Kubeflow). Background in multi-agent orchestration and multimodal AI systems. Experience creating AI workflows using orchestration platforms (e. g., n8n, relay.app ) and leveraging a variety of AI tools and plugins (e. g., Byword, Exa, Clay). Strong Python expertise with two or more libraries/frameworks (e. g., scikitlearn, TensorFlow, PyTorch, Keras, NLTK/SpaCy, Hugging Face). Proven track record of optimizing models and measuring their business impact (performance metrics and ROI). Resilience and adaptability in ambiguous, fast-moving environments. Ability to mentor and coach colleagues when needed. Job Types: Full-time, Permanent Pay: Up to ₹2,200,000.00 per year Schedule: Monday to Friday Experience: Total Work: 2 years (Required) Full-stack development: 1 year (Preferred) Work Location: In person

Greetings From Pranathi Software Services Pvt Ltd!!! We have vacancies for Data Scientist position in our organization. 📌 Experience: 3+ years 📌 Location: Hyderabad(Onsite) 📌 Timings: 12PM to 9PM Required Skills & Qualifications: Programming: Proficiency in Python. Machine Learning & Deep Learning: Strong experience in developing and deploying ML/DL models. NLP: Expertise in working with NLP frameworks such as Hugging Face Transformers, SpaCy, NLTK, etc. Computer Vision: Experience with OpenCV, TensorFlow, PyTorch, or other relevant frameworks. Generative AI: Hands-on experience with LLMs, diffusion models, GANs, VAEs, and other generative techniques. Transformers & RAG: Strong understanding of transformer architectures (BERT, GPT, LLAMA, etc.) and retrieval-augmented generation methods. Prompt Engineering: Ability to design, optimize, and implement effective prompts for AI applications. Django: Experience in building and maintaining backend services and APIs. Database Management: Proficiency in MySQL and NoSQL databases for efficient data handling. REST API Development: Experience in developing and integrating APIs for AI-powered applications. Cloud & Deployment: Knowledge of cloud platforms (AWS, GCP, Azure) and deployment tools like Docker & Kubernetes. Looking for Immediate Joiners. If interested please share your updated resume at harish@pranathiss.com Show more Show less

Job Title: AI/ML Developer (5 Years Experience) Location : Remote Job Type : Full-time Experience:5 Year Job Summary: We are looking for an experienced AI/ML Developer with at least 5 years of hands-on experience in designing, developing, and deploying machine learning models and AI-driven solutions. The ideal candidate should have strong knowledge of machine learning algorithms, data preprocessing, model evaluation, and experience with production-level ML pipelines. Key Responsibilities Model Development : Design, develop, train, and optimize machine learning and deep learning models for classification, regression, clustering, recommendation, NLP, or computer vision tasks. Data Engineering : Work with data scientists and engineers to preprocess, clean, and transform structured and unstructured datasets. ML Pipelines : Build and maintain scalable ML pipelines using tools such as MLflow, Kubeflow, Airflow, or SageMaker. Deployment : Deploy ML models into production using REST APIs, containers (Docker), or cloud services (AWS/GCP/Azure). Monitoring and Maintenance : Monitor model performance and implement retraining pipelines or drift detection techniques. Collaboration : Work cross-functionally with data scientists, software engineers, and product managers to integrate AI capabilities into applications. Research and Innovation : Stay current with the latest advancements in AI/ML and recommend new techniques or tools where applicable. Required Skills & Qualifications Bachelor's or Master’s degree in Computer Science, Artificial Intelligence, Data Science, or a related field. Minimum 5 years of experience in AI/ML development. Proficiency in Python and ML libraries such as Scikit-learn, TensorFlow, PyTorch, XGBoost, or LightGBM. Strong understanding of statistics, data structures, and ML/DL algorithms. Experience with cloud platforms (AWS/GCP/Azure) and deploying ML models in production. Experience with CI/CD tools and containerization (Docker, Kubernetes). Familiarity with SQL and NoSQL databases. Excellent problem-solving and communication skills. Preferred Qualifications Experience with NLP frameworks (e.g., Hugging Face Transformers, spaCy, NLTK). Knowledge of MLOps best practices and tools. Experience with version control systems like Git. Familiarity with big data technologies (Spark, Hadoop). Contributions to open-source AI/ML projects or publications in relevant fields. Show more Show less

osition: Data Scientist Location: Chennai, India (Work from Office) Experience: 2–5 years About the Opportunity: Omnihire is seeking a Data Scientist to join a leading AI-driven data‐solutions company. As part of the Data Consulting team, you’ll collaborate with scientists, IT, and engineering to solve high-impact problems and deliver actionable insights. Key Responsibilities: Analyze large, structured and unstructured datasets (SQL, Hadoop/Spark) to extract business-critical insights Build and validate statistical models (regression, classification, time-series, segmentation) and machine-learning algorithms (Random Forest, Boosting, SVM, KNN) Develop deep-learning solutions (CNN, RNN, LSTM, transfer learning) and apply NLP techniques (tokenization, stemming/lemmatization, NER, LSA) Write production-quality code in Python and/or R using libraries (scikit-learn, TensorFlow/PyTorch, pandas, NumPy, NLTK/spaCy) Collaborate with cross-functional teams to scope requirements, propose analytics solutions, and present findings via clear visualizations (Power BI, Matplotlib) Own end-to-end ML pipelines: data ingestion → preprocessing → feature engineering → model training → evaluation → deployment Contribute to solution proposals and maintain documentation for data schemas, model architectures, and experiment tracking (Git, MLflow) Required Qualifications: Bachelor’s or Master’s in Computer Science, Statistics, Mathematics, Data Science, or a related field 2–5 years of hands-on experience as a Data Scientist (or similar) in a data-driven environment Proficiency in Python and/or R for statistical modeling and ML Strong SQL skills and familiarity with Big Data platforms (e.g., Hadoop, Apache Spark) Demonstrated experience building, validating, and deploying ML/DL models in production or staging Excellent problem-solving skills, attention to detail, and ability to communicate technical concepts clearly Self-starter who thrives in a collaborative, Agile environment Nice-to-Have: Active GitHub/Kaggle portfolio showcasing personal projects or contributions Exposure to cloud-based ML services (Azure ML Studio, AWS SageMaker) and containerization (Docker) Familiarity with advanced NLP frameworks (e.g., Hugging Face Transformers) or production monitoring tools (Azure Monitor, Prometheus) Why Join? Work on high-impact AI/ML projects that drive real business value Rapid skill development with exposure to cutting-edge technologies Collaborative, Agile culture with mentorship from senior data scientists Competitive compensation package and comprehensive benefits Show more Show less

Role Description This is a full-time hybrid role for a Lead Data Scientist at UsefulBI Corporation, located in the Greater Bengaluru Area, with some work-from-home flexibility. The Lead Data Scientist/Architect will be responsible for overseeing all aspects of data science, including data analytics, visualization, and analysis. They will work on day-to-day tasks related to data engineering, AI/ML, and Business Intelligence to drive business transformation and exceed sustainable goals. Key Responsibilities Conduct complex data analyses to identify trends, patterns, and insights. Utilize statistical methods and machine learning techniques to forecast future trends. Advanced analytics, machine learning, AI Model development, training, and deployment (MLOps) Business insights using statistical and predictive modelling. Building scalable, reliable data pipelines Creating and managing data lakes, data warehouses ETL/ELT workflows Ensuring data quality, governance, and lineage. Dedicated leadership (Practice Head or CoE Lead). Defined service offerings and case studies. Reusable assets and accelerators and regular internal training and certifications. Client wins and repeatable success stories. Required Skills And Qualifications 7+ years of experience as a Data Scientist or ML Engineer. Strong expertise in Python and libraries like Pandas, NumPy, Scikit-learn, TensorFlow, PyTorch. Experience in end-to-end ML lifecycle including model development, validation, and deployment. Solid understanding of statistics, probability, and data modeling. Experience with NLP libraries (NLTK, spaCy, Hugging Face Transformers). Hands-on experience with GenAI tools: OpenAI APIs, Lang Chain, RAG, LLM fine-tuning. Experience with SQL and at least one NoSQL database. Familiarity with cloud platforms (AWS, GCP, Azure) and version control (Git). Strong communication skills with the ability to explain complex models to non-technical audiences. (ref:hirist.tech) Show more Show less

Job Description About The Company : Axis My India is Indias foremost Consumer Data Intelligence Company, which in partnership with Google is building a single-stop People Empowerment Platform, the a app, that aims to change peoples awareness, accessibility, and utilization of a slew of services. At Axis, we are dedicated to making a tangible impact on the lives of millions. If you're passionate about creating meaningful changes and aren't afraid to get your hands dirty, we want you on our team! Role Overview The Senior Analyst will manage, analyze, and interpret data to drive business decisions across multiple projects, including the a app and other initiatives. This position requires advanced statistical expertise, proficiency in analytics tools, and the ability to communicate insights effectively to product and research teams. Senior Analyst will be leading the team of 3 to 5 people. Key Responsibilities Conduct relevant statistical tests to validate hypotheses and ensure data-driven outcomes. Design, develop, and deploy advanced statistical and machine learning models to analyze complex datasets, including those from the a app and other projects. Perform data fusion activities by leveraging techniques to merge, reconcile, and analyze information from disparate systems and formats. Employing modern weighing and projection methods to answer key business questions and predict future trends. Design and manage interactive dashboards using Power BI for real-time data visualization. Perform Exploratory Data Analysis (EDA) to identify patterns, anomalies, and opportunities. Collaborate with product and research teams by providing feedback based on analytical findings. Analyze survey data to extract actionable insights and trends. Define and create Key Performance Indicators (KPIs) based on APP data. Serve as the gatekeeper for data maps, ensuring data integrity and accessibility for stakeholders. Develop and maintain MIS dashboards Required Skills & Qualifications MSc in Statistics or a related quantitative field. Strong experience in statistical analysis, predictive modelling and data validation. Proficiency in Python and Power BI are necessary with experience of working in libraries used for numerical and text analysis such as Pandas, Numpy, PySpark, NLTK, SpaCy, Scikit-Learn, Genism. Experience of working with both parametric and non-parametric methods. Advanced knowledge of survey analytics and EDA techniques. Excellent communication skills for cross-functional collaboration. Experience with MIS dashboard development and KPI creation. High attention to detail and commitment to data quality. Preferred Experience Experience working with app-based data and multi-project analytics environments. Familiarity with analyzing multiple survey data. Background in creating and managing KPIs aligned with business objectives. Exposure to big data technologies and cloud-based data platforms. Ability to work collaboratively in cross-functional teams involving product, research, and engineering stakeholders. Must have led the data science team in past. Experience of developing algorithms using combination of Data Science and statistics Requirements Technical Skills : Data Analysis & Statistical Expertise: Ability to manipulate large datasets, perform data cleaning, and run relevant statistical tests to validate findings and ensure data accuracy Proficiency in Data Visualization Tools: Advanced skills in Power BI to design, develop, and maintain interactive, user-friendly MIS dashboards with features like advanced calculations, parameters, joins, and blending. Advanced Excel Skills: Expertise in Excel formulas, pivot tables, macros, and dashboard creation to complement BI tools and automate reporting tasks. Programming Knowledge: Familiarity with Python for data manipulation, exploratory data analysis (EDA), and predictive modelling enhances analytical capabilities. Data Validation & Quality Assurance: Skill in validating data integrity and consistency to ensure reliable dashboard outputs. Analytical & Business Skills Critical Thinking & Problem Solving: Strong analytical mindset to interpret complex data, identify trends, and provide actionable insights. Business Acumen: Understanding of the business context to translate data insights into relevant recommendations and feedback for product and research teams. Communication & Collaboration Effective Communication: Ability to present complex data insights clearly and succinctly to internal stakeholders, including senior executives, through reports, dashboards and presentations. Stakeholder Management: Experience collaborating with cross-functional teams, gathering requirements, and incorporating feedback to refine dashboards and reports. Coaching & Mentoring: Mentor and guide junior data scientists and analysts, fostering a culture of continuous learning and innovation (ref:hirist.tech) Show more Show less

Job Description About The Company : Axis My India is Indias foremost Consumer Data Intelligence Company, which in partnership with Google is building a single-stop People Empowerment Platform, the a app, that aims to change peoples awareness, accessibility, and utilization of a slew of services. At Axis, we are dedicated to making a tangible impact on the lives of millions. If you're passionate about creating meaningful changes and aren't afraid to get your hands dirty, we want you on our team! Role Overview The Data Analyst will support Senior data scientists to manage, analyze, and interpret data for driving business decisions across multiple projects, including the a app and other initiatives. This position requires advanced statistical knowledge including data science, machine learning techniques and creating AI related tools. Key Responsibilities Conduct relevant statistical tests to validate hypotheses and ensure data-driven outcomes. Support Sr data scientist in designing, developing and deploying advanced statistical and machine learning models to analyze complex datasets, including those from the a app and other projects. Perform Exploratory Data Analysis (EDA) to identify patterns, anomalies, and opportunities. Perform data fusion activities by leveraging techniques to merge, reconcile, and analyze information from disparate systems and formats. Identify and employ modern weighing and projection methods to answer key business questions and predict future trends. Support data Visualizer with necessary data for real-time data visualization. Collaborate with product and research teams by providing feedback based on analytical findings. Develop and maintain daily MIS reports and automate highlighting the actionable insights and trends. Define and create Key Performance Indicators (KPIs) based on APP data. Serve as the gatekeeper for data maps, ensuring data integrity and accessibility for stakeholders. Required Skills & Qualifications MSc in Statistics or a related quantitative field. Master in statistical analysis, predictive modelling and data validation. Proficiency in Python is a must with exposure to libraries used for numerical and text analysis such as Pandas, Numpy, PySpark, NLTK, SpaCy, Scikit-Learn, Genism. Complete understanding of using both parametric and non-parametric methods. Advanced knowledge of survey analytics and EDA techniques. Excellent communication skills for cross-functional collaboration. Experience with MIS dashboard development and KPI creation. High attention to detail and commitment to data quality. Preferred Experience (for 1 Year Experience) Experience working with app-based data and multi-project analytics environments. Familiarity with analyzing multiple survey data. Background in creating and managing KPIs aligned with business objectives. Exposure to big data technologies. Requirements Technical Skills : Data Analysis & Statistical Expertise: Ability to manipulate large datasets, perform data cleaning, and run relevant statistical tests to validate findings and ensure data accuracy Advanced Excel Skills: Expertise in Excel formulas, pivot tables, macros, and dashboard creation to complement BI tools and automate reporting tasks. Programming Knowledge: Familiarity with Python for data manipulation, exploratory data analysis (EDA), and predictive modelling enhances analytical capabilities. Data Validation & Quality Assurance: Skill in validating data integrity and consistency to ensure reliable dashboard outputs. Analytical & Business Skills Critical Thinking & Problem Solving: Strong analytical mindset to interpret complex data, identify trends, and provide actionable insights. Business Acumen: Understanding of the business context to translate data insights into relevant recommendations and feedback for product and research teams. Communication & Collaboration Effective Communication: Ability to present complex data insights clearly and succinctly to internal stakeholders, including senior executives, through reports, dashboards and presentations. Stakeholder Management: Experience collaborating with cross-functional teams, gathering requirements, and incorporating feedback to refine dashboards and reports. Coaching & Mentoring: Mentor and guide junior data scientists and analysts, fostering a culture of continuous learning and innovation (ref:hirist.tech) Show more Show less

Summary We are seeking a highly skilled and motivated Computer Vision Engineer with strong expertise in Python, image processing, and algorithm design. The ideal candidate should be adept at developing fault-tolerant systems and optimizing data pipelines. This role requires an innovative thinker who thrives in a startup environment and is passionate about building scalable and efficient solutions. Skills Required Strong experience in Python and writing fault-tolerant code Extensive expertise in Image Processing, OpenCV, SciPy, and NumPy Good understanding of optimizing data processing pipelines Command over geometry, statistics, and designing complex algorithms Ability to work and thrive in a startup environment, learn rapidly, and master diverse web technologies and techniques Roles and Responsibilities Leverage open-source code and libraries to quickly experiment and build novel solutions Independently think of solutions to complex requirements; possess exceptional logical skills Analyze current products in development, including performance, diagnosis, and troubleshooting Work with the existing framework and help evolve it by building reusable code and libraries Search for and introduce new software-related technologies, processes, and tools to the team Brownie Points Knowledge of Keras, TensorFlow, PyTorch, Ludwig, TensorRT Experience with Nvidia DeepStream Knowledge of NLP and NLU (NLTK, SpaCy, Flair, etc.) Understanding of Docker, Kubernetes, and Git Familiarity with JavaScript What We Have to Offer Work with a performance-oriented team driven by ownership and open to experimenting with cutting-edge technologies Learn to design systems for high accuracy, efficiency, and scalability Meritocracy-driven, candid startup culture Show more Show less

The Data Scientist organization within the Data and Analytics division is responsible for designing and implementing a unified data strategy that enables the efficient, secure, and governed use of data across the organization. We aim to create a trusted and customer-centric data ecosystem, built on a foundation of data quality, security, and openness, and guided by the Thomson Reuters Trust Principles. Our team is dedicated to developing innovative data solutions that drive business value while upholding the highest standards of data management and ethics. About the role: Work with low to minimum supervision to solve business problems using data and analytics. Work in multiple business domain areas including Customer Experience and Service, Operations, Finance, Sales and Marketing. Work with various business stakeholders, to understand and document requirements. Design an analytical framework to provide insights into a business problem. Explore and visualize multiple data sets to understand data available for problem solving. Build end to end data pipelines to handle and process data at scale. Build machine learning models and/or statistical solutions. Build predictive models. Use Natural Language Processing to extract insight from text. Design database models (if a data mart or operational data store is required to aggregate data for modeling). Design visualizations and build dashboards in Tableau and/or PowerBI Extract business insights from the data and models. Present results to stakeholders (and tell stories using data) using power point and/or dashboards. Work collaboratively with other team members. About you: Overall 6+ years experience in technology roles. Must have a minimum of 2 years of experience working in the data science domain. Has used frameworks/libraries such as Scikit-learn, PyTorch, Keras, NLTK. Highly proficient in Python. Highly proficient in SQL. Experience with Tableau and/or PowerBI. Has worked with Amazon Web Services and Sagemaker. Ability to build data pipelines for data movement using tools such as Alteryx, GLUE, Informatica. Proficient in machine learning, statistical modelling, and data science techniques. Experience with one or more of the following types of business analytics applications: Predictive analytics for customer retention, cross sales and new customer acquisition. Pricing optimization models. Segmentation. Recommendation engines. Experience in one or more of the following business domains Customer Experience and Service. Finance. Operations. Good presentation skills and the ability to tell stories using data and PowerPoint/Dashboard Visualizations. Excellent organizational, analytical and problem-solving skills. Ability to communicate complex results in a simple and concise manner at all levels within the organization. Ability to excel in a fast-paced, startup-like environment. #LI-SS5 What’s in it For You Hybrid Work Model We’ve adopted a flexible hybrid working environment (2-3 days a week in the office depending on the role) for our office-based roles while delivering a seamless experience that is digitally and physically connected. Flexibility & Work-Life Balance: Flex My Way is a set of supportive workplace policies designed to help manage personal and professional responsibilities, whether caring for family, giving back to the community, or finding time to refresh and reset. This builds upon our flexible work arrangements, including work from anywhere for up to 8 weeks per year, empowering employees to achieve a better work-life balance. Career Development and Growth: By fostering a culture of continuous learning and skill development, we prepare our talent to tackle tomorrow’s challenges and deliver real-world solutions. Our Grow My Way programming and skills-first approach ensures you have the tools and knowledge to grow, lead, and thrive in an AI-enabled future. Industry Competitive Benefits We offer comprehensive benefit plans to include flexible vacation, two company-wide Mental Health Days off, access to the Headspace app, retirement savings, tuition reimbursement, employee incentive programs, and resources for mental, physical, and financial wellbeing. Culture: Globally recognized, award-winning reputation for inclusion and belonging, flexibility, work-life balance, and more. We live by our valuesObsess over our Customers, Compete to Win, Challenge (Y)our Thinking, Act Fast / Learn Fast, and Stronger Together. Social Impact Make an impact in your community with our Social Impact Institute. We offer employees two paid volunteer days off annually and opportunities to get involved with pro-bono consulting projects and Environmental, Social, and Governance (ESG) initiatives. Making a Real-World Impact: We are one of the few companies globally that helps its customers pursue justice, truth, and transparency. Together, with the professionals and institutions we serve, we help uphold the rule of law, turn the wheels of commerce, catch bad actors, report the facts, and provide trusted, unbiased information to people all over the world. About Us Thomson Reuters informs the way forward by bringing together the trusted content and technology that people and organizations need to make the right decisions. We serve professionals across legal, tax, accounting, compliance, government, and media. Our products combine highly specialized software and insights to empower professionals with the data, intelligence, and solutions needed to make informed decisions, and to help institutions in their pursuit of justice, truth, and transparency. Reuters, part of Thomson Reuters, is a world leading provider of trusted journalism and news. We are powered by the talents of 26,000 employees across more than 70 countries, where everyone has a chance to contribute and grow professionally in flexible work environments. At a time when objectivity, accuracy, fairness, and transparency are under attack, we consider it our duty to pursue them. Sound excitingJoin us and help shape the industries that move society forward. As a global business, we rely on the unique backgrounds, perspectives, and experiences of all employees to deliver on our business goals. To ensure we can do that, we seek talented, qualified employees in all our operations around the world regardless of race, color, sex/gender, including pregnancy, gender identity and expression, national origin, religion, sexual orientation, disability, age, marital status, citizen status, veteran status, or any other protected classification under applicable law. Thomson Reuters is proud to be an Equal Employment Opportunity Employer providing a drug-free workplace. 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We are seeking a seasoned Python Developer with experience. In this role, you will work closely with research engineers and linguists to develop and enhance NLP systems in the speech synthesis domain. This position requires strong analytical and critical thinking skills, effective communication, and a passion for creating high-quality software. Responsibilities Develop NLP systems according to the project requirements. Collaborate with international language experts to incorporate diverse linguistic features. Work with large datasets to support language learning and model training. Analyse and implement changes as needed, ensuring all bugs are addressed and resolved. Deliver high-quality code with zero defects by following industry best practices and maintaining rigorous testing standards. Contribute to patent filing and intellectual property protection activities, as applicable. Requirements Bachelor's or Master's degree in Computer Science, Engineering, or a related field from Tier 1 Colleges. 1-3 years of experience in Python development. Experience with NLP and machine learning frameworks such as NLTK, spaCy, TensorFlow, or PyTorch. Strong problem-solving skills and ability to implement algorithms efficiently. Experience working with large datasets and data preprocessing techniques. Ability to write clean, maintainable, and efficient code. Familiarity with version control systems (e. g., Git). Excellent communication skills and ability to work effectively in a team environment. Attention to detail and commitment to delivering high-quality, bug-free software. Experience with speech synthesis or related domains. Knowledge of additional programming languages like Java. Knowledge of Web servers and databases. This job was posted by Ramneet Singh from Murf AI. Show more Show less

Please note its NOT work from home job Interview location : In person We are not conduting any telephonic interviews. Key Skills Ability to work with large data sets using Python. Have a strong background in Python programming, MySQL, Linux, and Machine Learning. Basic knowledge of other relevant technologies, including Cloud computing, Jupyter Notebook, Machine learning algorithms, TensorFlow, PyTorch, Tesseract OCR, and NLP techniques and models such as SpaCy, Bert, NLTK and AutoML. Working through the phases of the project Job Type: Full-time Pay: ₹8,163.63 - ₹23,007.59 per month Schedule: Day shift Morning shift Work Location: In person

Under general guidance, the AI Engineer will be responsible for collaborating with the Information Security organization to analyse current-state business processes and develop automated workflows using Generative AI chatbot technology to increase efficiency and quality. The AI Engineer will develop and support AI-driven chatbot solutions for cross-functional teams across our diverse and growing Infosec organization. This role will also demand building AI Agents that can reason and interact with users and other systems. We look for self-motivated individuals who can function and adapt in an Agile development model with iterative delivery, incorporating feedback rapidly into delivery components. Key Responsibilities Collaborate with the Information Security organization to analyse and design process workflows, build, test, and implement AI solutions, ensuring system quality. Assess AI opportunities from a technical standpoint, perform technical feasibility studies, and develop optimal solutions. Contribute to Solution Design Documents (SDD) or Technical Design Documents (TDD) with a focus on reusability. Work with other IT teams and architects to identify the right technologies, avoiding redundancy and ensuring the best fit for proposed AI solutions. Maintain a thorough understanding of technology, quality tools, and process design; think creatively when enhancing existing processes and fixing code errors. Adapt to changes in the work environment, manage multiple competing demands, and handle frequent changes, delays, or unexpected events calmly and logically. Participate in after-hour escalations to assist on-call team members. Requirement: Preferred bachelor’s degree or equivalent in Computer Science or related discipline. Minimum 3-6 years of relevant work experience in AI development, including Generative AI chatbots, NLP, and related technologies. Proficiency in languages such as Python, JavaScript, Java, or C# Experience with NLP libraries and frameworks like NLTK, spaCy, or Stanford NLP, and platforms like Dialogflow, IBM Watson, or Microsoft LUIS Understanding of machine learning concepts and frameworks such as TensorFlow, PyTorch, or scikit-learn for building intelligent chatbots Proficient in implementing Retrieval-Augmented Generation (RAG) and vector-based search techniques to enhance AI-driven information retrieval and contextual response generation Knowledge of RESTful APIs and experience with integrating chatbots with various platforms Familiarity with SQL and NoSQL databases for storing conversation data and user information. Proficiency in Agentic AI, including the ability to build AI agents that can autonomously solve complex, multi-step problems using sophisticated reasoning and iterative planning. Basic understanding of front-end technologies (HTML, CSS, JavaScript) to integrate chatbots into web applications Experience with cloud platforms such as AWS, Google Cloud, or Azure for deploying and scaling chatbots Strong analytical and problem-solving abilities to debug issues and improve chatbot performance. Ability to work collaboratively and communicate effectively with cross-functional teams, including designers, product managers, and other developers. Ability to work collaboratively and communicate effectively with cross-functional teams, including designers, product managers, and other developers. Experience with end-to-end AI management and SDLC cycle using Agile methodology. Experience with Microsoft Power Apps Automation, Co-Pilot AI, including chatbots and conversational AI, OCR tools, and Power BI is an advantage. Practical experience in implementing LEAN, AGILE, and Design Thinking is preferred. Preferred Qualifications: Pay Transparency: Pay: Additional Details: FedEx was built on a philosophy that puts people first, one we take seriously. We are an equal opportunity/affirmative action employer and we are committed to a diverse, equitable, and inclusive workforce in which we enforce fair treatment, and provide growth opportunities for everyone. All qualified applicants will receive consideration for employment regardless of age, race, color, national origin, genetics, religion, gender, marital status, pregnancy (including childbirth or a related medical condition), physical or mental disability, or any other characteristic protected by applicable laws, regulations, and ordinances. Our Company FedEx is one of the world's largest express transportation companies and has consistently been selected as one of the top 10 World’s Most Admired Companies by "Fortune" magazine. Every day FedEx delivers for its customers with transportation and business solutions, serving more than 220 countries and territories around the globe. We can serve this global network due to our outstanding team of FedEx team members, who are tasked with making every FedEx experience outstanding. Our Philosophy The People-Service-Profit philosophy (P-S-P) describes the principles that govern every FedEx decision, policy, or activity. FedEx takes care of our people; they, in turn, deliver the impeccable service demanded by our customers, who reward us with the profitability necessary to secure our future. The essential element in making the People-Service-Profit philosophy such a positive force for the company is where we close the circle, and return these profits back into the business, and invest back in our people. Our success in the industry is attributed to our people. Through our P-S-P philosophy, we have a work environment that encourages team members to be innovative in delivering the highest possible quality of service to our customers. We care for their well-being, and value their contributions to the company. Our Culture Our culture is important for many reasons, and we intentionally bring it to life through our behaviors, actions, and activities in every part of the world. The FedEx culture and values have been a cornerstone of our success and growth since we began in the early 1970’s. While other companies can copy our systems, infrastructure, and processes, our culture makes us unique and is often a differentiating factor as we compete and grow in today’s global marketplace.