5535 Tensorflow Jobs - Page 35

Data Science Intern (Paid) Company: WebBoost Solutions by UM Location: Remote Duration: 3 months Opportunity: Full-time based on performance, with a Certificate of Internship About WebBoost Solutions by UM WebBoost Solutions by UM provides aspiring professionals with hands-on experience in data science , offering real-world projects to develop and refine their analytical and machine learning skills for a successful career. Responsibilities ✅ Collect, preprocess, and analyze large datasets. ✅ Develop predictive models and machine learning algorithms . ✅ Perform exploratory data analysis (EDA) to extract meaningful insights. ✅ Create data visualizations and dashboards for effective communication of findings. ✅ Collaborate with cross-functional teams to deliver data-driven solutions . Requirements 🎓 Enrolled in or graduate of a program in Data Science, Computer Science, Statistics, or a related field . 🐍 Proficiency in Python or R for data analysis and modeling. 🧠 Knowledge of machine learning libraries such as scikit-learn, TensorFlow, or PyTorch (preferred) . 📊 Familiarity with data visualization tools (Tableau, Power BI, or Matplotlib) . 🧐 Strong analytical and problem-solving skills. 🗣 Excellent communication and teamwork abilities. Stipend & Benefits 💰 Stipend: ₹7,500 - ₹15,000 (Performance-Based). ✔ Hands-on experience in data science projects . ✔ Certificate of Internship & Letter of Recommendation . ✔ Opportunity to build a strong portfolio of data science models and applications. ✔ Potential for full-time employment based on performance. How to Apply 📩 Submit your resume and a cover letter with the subject line "Data Science Intern Application." 📅 Deadline: 27th June 2025 Equal Opportunity WebBoost Solutions by UM is committed to fostering an inclusive and diverse environment and encourages applications from all backgrounds. Let me know if you need any modifications! 🚀

Machine Learning Intern (Paid) Company: Unified Mentor Location: Remote Duration: 3 months Opportunity: Full-time based on performance, with Certificate of Internship Application Deadline : 27th June 2025 About Unified Mentor Unified Mentor provides students and graduates with hands-on learning opportunities and career growth in Machine Learning and Data Science. Role Overview As a Machine Learning Intern, you will work on real-world projects, enhancing your practical skills in data analysis and model development. Responsibilities ✅ Design, test, and optimize machine learning models ✅ Analyze and preprocess datasets ✅ Develop algorithms and predictive models ✅ Use tools like TensorFlow, PyTorch, and Scikit-learn ✅ Document findings and create reports Requirements 🎓 Enrolled in or a graduate of a relevant program (Computer Science, AI, Data Science, or related field) 🧠 Knowledge of machine learning concepts and algorithms 💻 Proficiency in Python or R (preferred) 🤝 Strong analytical and teamwork skills Benefits 💰 Stipend: ₹7,500 - ₹15,000 (Performance-Based) (Paid) ✔ Hands-on machine learning experience ✔ Internship Certificate & Letter of Recommendation ✔ Real-world project contributions for your portfolio Equal Opportunity Unified Mentor is an equal-opportunity employer, welcoming candidates from all backgrounds.

Job Title: AI/ML Engineer Experience: 4+ Years Location: Remote Job Type: Full-Time Job Summary: We are looking for a passionate and results-driven AI/ML Engineer with 4 years of experience in designing, building, and deploying machine learning models and intelligent systems. The ideal candidate should have solid programming skills, a strong grasp of data preprocessing, model evaluation, and MLOps practices. You will collaborate with cross-functional teams including data scientists, software engineers, and product managers to integrate intelligent features into applications and systems. Key Responsibilities: Design, develop, train, and optimize machine learning and deep learning models for real-world applications. Preprocess, clean, and transform structured and unstructured data for model training and evaluation. Implement, test, and deploy models using APIs or microservices (Flask, FastAPI, etc.) in production environments. Use ML libraries and frameworks like Scikit-learn, TensorFlow, PyTorch, Hugging Face, XGBoost, etc. Monitor and retrain models as needed for performance, accuracy, and drift mitigation. Collaborate with software and data engineering teams to operationalize ML solutions using MLOps tools. Stay updated with emerging trends in AI/ML and suggest enhancements to existing systems. Required Skills and Qualifications: Bachelor’s or Master’s in Computer Science, Engineering, AI/ML, Data Science, or related field. 4+ years of hands-on experience in machine learning model development and deployment. Strong experience in Python and libraries like Pandas, NumPy, Scikit-learn, Matplotlib/Seaborn. Experience with deep learning frameworks such as TensorFlow, PyTorch, or Keras. Proficiency in model deployment using Flask, FastAPI, Docker, and REST APIs. Experience with version control (Git), model versioning, and experiment tracking (MLflow, Weights & Biases). Familiarity with cloud platforms like AWS (SageMaker), Azure ML, or GCP AI Platform. Knowledge of databases (SQL/NoSQL) and data pipelines (Airflow, Spark, etc.). Strong problem-solving and debugging skills, with an analytical mindset.

Exp – 15 to 23yrs Location : Chennai /Bangalore Primary skill :- GEN AI Architect, Building GEN AI solutions, Coding, AI ML background, Data engineering, Azure or AWS cloud Job Description : The Generative Solutions Architect will be responsible for designing and implementing cutting-edge generative AI models and systems. He / She will collaborate with data scientists, engineers, product managers, and other stakeholders to develop innovative AI solutions for various applications including natural language processing (NLP), computer vision, and multimodal learning. This role requires a deep understanding of AI/ML theory, architecture design, and hands-on expertise with the latest generative models. Key Responsibilities : GenAI application conceptualization and design: Understand the use cases under consideration, conceptualization of the application flow, understanding the constraints and designing accordingly to get the most optimized results. Deep knowledge to work on developing and implementing applications using Retrieval-Augmented Generation (RAG)-based models, which combine the power of large language models (LLMs) with information retrieval techniques. Prompt Engineering: Be adept at prompt engineering and its various nuances like one-shot, few shot, chain of thoughts etc and have hands on knowledge of implementing agentic workflow and be aware of agentic AI concepts NLP and Language Model Integration - Apply advanced NLP techniques to preprocess, analyze, and extract meaningful information from large textual datasets. Integrate and leverage large language models such as LLaMA2/3, Mistral or similar offline LLM models to address project-specific goals. Small LLMs / Tiny LLMs: Familiarity and understanding of usage of SLMs / Tiny LLMs like phi3, OpenELM etc and their performance characteristics and usage requirements and nuances of how they can be consumed by use case applications. Collaboration with Interdisciplinary Teams - Collaborate with cross-functional teams, including linguists, developers, and subject matter experts, to ensure seamless integration of language models into the project workflow. Text / Code Generation and Creative Applications - Explore creative applications of large language models, including text / code generation, summarization, and context-aware responses. Skills & Tools Programming Languages - Proficiency in Python for data analysis, statistical modeling, and machine learning. Machine Learning Libraries - Hands-on experience with machine learning libraries such as scikit-learn, Huggingface, TensorFlow, and PyTorch. Statistical Analysis - Strong understanding of statistical techniques and their application in data analysis. Data Manipulation and Analysis - Expertise in data manipulation and analysis using Pandas and NumPy. Database Technologies - Familiarity with vector databases like ChromaDB, Pinecone etc, SQL and Non-SQL databases and experience working with relational and non-relational databases. Data Visualization Tools - Proficient in data visualization tools such as Tableau, Matplotlib, or Seaborn. Familiarity with cloud platforms (AWS, Google Cloud, Azure) for model deployment and scaling. Communication Skills - Excellent communication skills with the ability to convey technical concepts to non-technical audiences.

Company Description Sultan Chand & Sons (P) Ltd, established in 1950, is a renowned name in educational publishing. Catering to students from Pre-Primary to College level, the company boasts nearly 500 titles, known for their quality, design, and content. Located in Darya Ganj, New Delhi, the company's books are used in prestigious schools and colleges across India and neighbouring countries. With a rich legacy, Sultan Chand & Sons (P) Ltd continues to lead in Accountancy and English Grammar books, thanks to continuous updates and collaborations with distinguished academicians and educationists. Role Description 1. Content Development: Develop, edit, and refine AI textbooks and supplementary materials tailored to CBSE and CISCE curriculum guidelines. Collaborate with subject matter experts, writers, and educators to create accurate and age-appropriate content. 2. Digital Learning Content Creation: Design interactive digital content, including videos, animations, assessments, and simulations, to enhance learning from textbooks. Coordinate with multimedia designers and developers to produce engaging e-learning resources. 3. Quality Assurance: Ensure all content meets high standards of accuracy, clarity, and pedagogical value. Conduct thorough reviews and revisions to align content with curriculum frameworks. 4. Research and Innovation: Stay informed about the latest trends in AI, education technology, and curriculum design. Innovate content delivery methods to enhance student engagement and learning outcomes. Qualifications and Skills A degree in Computer Science, Artificial Intelligence, Education, or a related field. Advanced degrees preferred. Proficiency in Python programming and machine learning libraries (e.g., TensorFlow, PyTorch, Scikit-learn, Pandas, NumPy). Practical experience working with microcontroller platforms, specifically Arduino and Raspberry Pi. Freshers are encouraged to apply. Familiarity with CBSE and CISCE curriculum standards. Strong understanding of AI concepts, including machine learning, data analysis, and ethical considerations. Excellent writing, editing, and communication skills. Proficiency in digital content creation tools and e-learning platforms.

Overview about Ripik.AI: Ripik.ai is a fast-growing industrial AI SAAS start-up founded by IIT D/ BITS alumni and with extensive experience in McKinsey, IBM, Google and others. It is backed by marquee VC funds like Accel, Venture Highway and 25+ illustrious angels including 14 unicorn founders. Ripik.ai builds patented full stack software for automation of decision making on the factory floor. Today, they are deployed at more than 15 of the largest and most prestigious enterprises in India including the market leaders in steel, aluminium, cement, pharma, paints, consumer goods and others. It is one of world’s very few AI product start-ups to be a partner to GCP, Azure and AWS. We are also the AI partner of choice for CII, ICC and NASSCOM. Roles & Responsibilities: We are seeking a highly motivated Automation and Machine Vision Engineer to join our Industrial AI and Automation team. The ideal candidate will have hands-on experience in developing and deploying computer vision solutions for manufacturing, quality control, and robotic inspection. You will be responsible for designing AI-based vision systems using cameras, deep learning models, and edge computing platforms. Develop and deploy machine vision applications using industrial cameras (e.g., Basler, FLIR). Design AI-based inspection systems for detecting defects such as scratches, dents, mislabels, and missing components. Build and train deep learning models using CNN, YOLO, RCNN for object detection, OCR, classification, and segmentation. Integrate vision systems into automation workflows, PLCs, or robotic arms using standard protocols. Work with image acquisition pipelines, camera calibration, lighting setup, and industrial communication standards. Collaborate with software, automation, and mechanical teams to build end-to-end inspection systems. Optimize model performance on edge devices (e.g., NVIDIA Jetson, Raspberry Pi, etc.). Perform on-site testing, calibration, and commissioning at industrial client locations. Required Skills, Competencies & Experience: B.E./B.Tech in Instrumentation, Electronics, Mechatronics, Computer Science, or related field. 2–5 years of relevant experience in machine vision, automation, or AI-based quality control systems. Strong problem-solving skills and ability to work independently in R&D or client-facing roles. Preferred Qualification: Strong knowledge of OpenCV, Python, TensorFlow/PyTorch, and image processing. Experience with YOLO, Faster-RCNN, SSD or other real-time object detection models. Hands-on with industrial camera systems (Basler, Hikvision, Cognex, etc.). Familiarity with edge AI platforms like NVIDIA Jetson Nano/Xavier. Understanding industrial automation systems, SCADA/PLC integration. Experience with machine vision software (e.g., Halcon, LabVIEW Vision, MVTec) is preferred. Familiarity with SCADA, Historian systems, or MES integration. Exposure to virtualization, server-client architecture, or redundant systems. Knowledge of video analytics, CCTV integration, and industrial automation security. Physical Requirements: Ability to travel to project sites and conduct field inspections. Comfortable working in hazardous industrial environments (oil refineries, chemical plants, etc.) What can you expect? Ability to shape the future of manufacturing by leveraging best-in-class AI and software; we are a unique organization with niche skill set that you would also develop while working with us World class work culture, coaching and development Mentoring from highly experienced leadership from world class companies (refer to Ripik.AI website for details) Location – Noida (Work from Office)

💼 We’re Hiring: OCI AI Architect (Gen AI | Agentic AI | ML) 📍 Location: Remote 🕒 Experience Level: 10–15 Years (5+ years in AI/ML on OCI) 🧠 Domain Expertise: Finance & Accounting 📅 Start Date: Immediate Joiners Preferred 10–15 years in Oracle Cloud and Artificial Intelliegence, with 5+ years of proven experience in designing, architecting and deploying full stack AI/ML & Gen AI Solution over OCI AI stack 2. Strong Python programming development experience, streamlit, XML, JSON etc. 3. Deep hands-on knowledge of LLMs (e.g. Cohere, GPT etc.) & prompt engineering techniques (e.g. zero-shot, few-shot, CoT, and ReAct) especially for Cohere, & OpenAI Models. 4. Strong knowledge of AI governance, security, guardrails, and responsible AI. 5. Must have knowledge of data ingestion, feature engineering, model training, evaluation, deployment, and monitoring. 6. Proficient in AI/ML/Gen AI frameworks (e.g., TensorFlow, PyTorch, Hugging Face, LangChain) & Vector DBs (e.g., Pinecone, Milvus). 7. Proficient in implementing Agentic AI Frameworks (e.g. CrewAI, AutoGen and multi-agent orchestration workflow) 8. Deep knowledge of OCI services including: OCI Data Science, OCI AI Services, OCI Gen AI Service, OCI Gen AI Agents, Oracle ATP, Data Flow (Apache Spark), OCI Functions, API Gateway, and Monitoring 9. Strong understanding and practical application of: Prompt engineering, Fine-tuning and parameter-efficient tuning, Agentic orchestration workflows 3. Experience with front end languages such as React, Angular or Javascript etc. 4. Experience in Oracle ATP, 23ai Databases and vector queries 1. Working experience of implementing semantic matching, fuzzy logic, and similarity scoring algorithms (e.g., cosine similarity, Jaccard, Levenshtein distance) to drive intelligent entry matching in noisy or inconsistent data scenarios. 2. Experience with Finance domain solutions, particularly around reconciliations, journal entry matching, or financial close processes. 3. Understanding of Oracle Cloud Deployment, architecture, networking, Security and other essential components 4. Good to have knowledge of Analytics and Data Science. Email: narmadha.vinayagamoorthy@vdartdigital.com

Machine Learning Intern (Paid) Company: WebBoost Solutions by UM Location: Remote Duration: 3 months Opportunity: Full-time based on performance, with a Certificate of Internship Application Deadline: 27th June 2025 About WebBoost Solutions by UM WebBoost Solutions by UM provides students and graduates with hands-on learning and career growth opportunities in machine learning and data science . Role Overview As a Machine Learning Intern , you’ll work on real-world projects , gaining practical experience in machine learning and data analysis . Responsibilities ✅ Design, test, and optimize machine learning models. ✅ Analyze and preprocess datasets. ✅ Develop algorithms and predictive models for various applications. ✅ Use tools like TensorFlow, PyTorch, and Scikit-learn . ✅ Document findings and create reports to present insights. Requirements 🎓 Enrolled in or graduate of a relevant program (AI, ML, Data Science, Computer Science, or related field) 📊 Knowledge of machine learning concepts and algorithms . 🐍 Proficiency in Python or R (preferred). 🤝 Strong analytical and teamwork skills . Benefits 💰 Stipend: ₹7,500 - ₹15,000 (Performance-Based) (Paid) ✔ Practical machine learning experience . ✔ Internship Certificate & Letter of Recommendation . ✔ Build your portfolio with real-world projects . Equal Opportunity WebBoost Solutions by UM is an equal opportunity employer , welcoming candidates from all backgrounds .

Data Science Intern (Paid) Company: Unified Mentor Location: Remote Duration: 3 months Application Deadline: 27th June 2025 Opportunity: Full-time role based on performance + Internship Certificate About Unified Mentor Unified Mentor provides aspiring professionals with hands-on experience in data science through industry-relevant projects, helping them build successful careers. Responsibilities Collect, preprocess, and analyze large datasets Develop predictive models and machine learning algorithms Perform exploratory data analysis (EDA) to extract insights Create data visualizations and dashboards for effective communication Collaborate with cross-functional teams to deliver data-driven solutions Requirements Enrolled in or a graduate of Data Science, Computer Science, Statistics, or a related field Proficiency in Python or R for data analysis and modeling Knowledge of machine learning libraries such as scikit-learn, TensorFlow, or PyTorch (preferred) Familiarity with data visualization tools like Tableau, Power BI, or Matplotlib Strong analytical and problem-solving skills Excellent communication and teamwork abilities Stipend & Benefits Stipend: ₹7,500 - ₹15,000 (Performance-Based) (Paid) Hands-on experience in data science projects Certificate of Internship & Letter of Recommendation Opportunity to build a strong portfolio of data science models and applications Potential for full-time employment based on performance How to Apply Submit your resume and a cover letter with the subject line "Data Science Intern Application." Equal Opportunity: Unified Mentor welcomes applicants from all backgrounds.

Machine Learning Intern (Paid) Company: WebBoost Solutions by UM Location: Remote Duration: 3 months Opportunity: Full-time based on performance, with a Certificate of Internship Application Deadline: 27th June 2025 About WebBoost Solutions by UM WebBoost Solutions by UM provides students and graduates with hands-on learning and career growth opportunities in machine learning and data science . Role Overview As a Machine Learning Intern , you’ll work on real-world projects , gaining practical experience in machine learning and data analysis . Responsibilities ✅ Design, test, and optimize machine learning models. ✅ Analyze and preprocess datasets. ✅ Develop algorithms and predictive models for various applications. ✅ Use tools like TensorFlow, PyTorch, and Scikit-learn . ✅ Document findings and create reports to present insights. Requirements 🎓 Enrolled in or graduate of a relevant program (AI, ML, Data Science, Computer Science, or related field) 📊 Knowledge of machine learning concepts and algorithms . 🐍 Proficiency in Python or R (preferred). 🤝 Strong analytical and teamwork skills . Benefits 💰 Stipend: ₹7,500 - ₹15,000 (Performance-Based) (Paid) ✔ Practical machine learning experience . ✔ Internship Certificate & Letter of Recommendation . ✔ Build your portfolio with real-world projects . How to Apply 📩 Submit your application by 27th June 2025 with the subject: "Machine Learning Intern Application" . Equal Opportunity WebBoost Solutions by UM is an equal opportunity employer , welcoming candidates from all backgrounds .

Location: Udaipur, Rajasthan Experience: 1–4 Years Employment Type: Full-Time, Work from Office Department: Technology / Software Development Reporting To: Project Manager Job Overview: We are looking for a Python Backend Developer with 1–4 years of professional experience who has a solid understanding of server-side logic, database management, and API development. Additional exposure to Artificial Intelligence (AI) technologies will be a strong plus. The ideal candidate should be passionate about building efficient, scalable backend systems and be eager to grow in a fast-paced, tech-driven environment. Key Responsibilities: -Design, develop, and maintain robust and scalable backend services using Python. -Build RESTful APIs and integrate third-party services and AI components. -Collaborate with frontend developers, data scientists, and product teams to deliver high-performance applications. -Write clean, modular, and well-documented code. -Work on database design, optimization, and integration (SQL and NoSQL). -Ensure code quality through unit testing, debugging, and performance tuning. -Apply AI/ML models to backend systems where applicable (e.g., automation, analytics, personalization). -Participate in sprint planning, reviews, and technical discussions. Required Skills: -1–4 years of experience in Python backend development.Proficient with frameworks like Flask, FastAPI, or Django (preferred). -Good understanding of RESTful API design and implementation. -Hands-on experience with databases such as PostgreSQL, MySQL, or MongoDB. -Familiarity with version control systems like Git. -Basic understanding of AI/ML concepts and the ability to integrate AI components (e.g., using scikit-learn, TensorFlow, or PyTorch). -Experience with Docker and API deployment is a plus. Good to Have: -Exposure to AI-powered features such as recommendation engines, NLP, or computer vision. -Familiarity with message brokers like RabbitMQ or Kafka. -Knowledge of CI/CD pipelines and cloud services (AWS, GCP, or Azure). -Experience with unit testing frameworks like PyTest or Unittest. What We Offer: -Competitive salary based on experience and skills. -Opportunity to work on innovative projects involving backend and AI. -Friendly, collaborative in-office work culture. -Mentorship and career growth opportunities. -5-day work week and learning resources. Location: Work from Office – Udaipur, Rajasthan How to Apply:Send your resume to info@sirican.com or apply at www.sirican.com Job Types: Full-time, Permanent, Fresher Pay: ₹10,000.00 - ₹20,000.00 per month Benefits: Paid sick time Schedule: Day shift Work Location: In person

Job Profile - Lead, Data Scientist We are looking for a passionate ML /AI Lead Data Scientist with demonstrated thought-leadership & proven ability to lead the development of analytics-focused products and utilizing cutting edge machine learning, natural language processing, and mathematical techniques to drive powerful business results. You will have the opportunity to work with a wide range of stakeholders and functional teams to help them discover insights hidden in data sets and enable stakeholders to improve business. AI ethics, fairness and secure development practices are also our focus areas. Responsibilities Partners with lines of business to understand business problems and translate them into identifiable machine learning problems which can be delivered as technical solutions and actionable recommendations across the organization Coordinate with business teams to monitor outcomes and refine/ improve the machine learning models Work across the spectrum of statistical modelling including supervised, unsupervised, & deep learning techniques to apply the right level of solution to the right problem Collaborate & share best practices with data and software engineers to enable consistent deployment of high-quality models that will scale across the company’s ecosystem Own the code review process to ensure stringent coding guidelines are met by other data scientists & data engineers Mentor & lead Data Science engineers in choosing the right machine learning approach/ models & utilizing open source languages such as R, Python, etc. Lead data mining and collection procedures for all business use cases and guarantee data quality and integrity Utilize Data visualization tools to deliver insights to stakeholders and present technical solutions to non-technical audience in a simple and clear manner Track emerging developments w.r.t technology, tools, practices, etc in the open source, data science/machine learning/chatbot domain and leverage same for Schneider Electric Build frameworks leveraging APIs to industrialize AI models across the organization Adhere to stringent quality assurance and documentation standards using version control and code repositories (e.g., Git, GitHub, Markdown) Requirements and Skills You should have bachelor’s or Master’s degree in Computer Science, Statistics or Mathematics, Informatics, Information Systems or another quantitative field You should have experience in solving real life complex business problems using machine learning. Hands-on experience in deploying these machine learning solutions to production is mandatory. In depth understanding of NLP, LLM, Generative AI, RAG application development. In-depth understanding and modeling experience in supervised, unsupervised, reinforcement and deep learning models; hands-on knowledge of data wrangling, data cleaning/ preparation, dimensionality reduction is required Knowledge of vector algebra, statistical and probabilistic modelling is highly desirable Exploratory data analysis and hypothesis testing to identify ML opportunities is a plus Experience in major machine learning frameworks such as Pytorch, Scikit-Learn, Tensorflow, Pandas, SparkML etc. Fluency in programming skills such as Python, R, or other equivalent languages Familiarity with databases like MySQL, Oracle, SQL Server, NoSQL, etc. is desirable Experience working with Amazon SageMaker or Azure ML Studio for deployments is required Experience in data visualization software such as Tableau, ELK, etc is a plus Strong analytical and critical thinking skills. You should also have a business mindset, swift to identify risk situations and opportunities, and able to generate creative solutions to business problems Effective communication skills (written and verbal) to properly articulate complicated statistical models/ reports to management and other IT development partners About Us Schneider Electric™ creates connected technologies that reshape industries, transform cities and enrich lives. Our 144,000 employees thrive in more than 100 countries. From the simplest of switches to complex operational systems, our technology, software and services improve the way our customers manage and automate their operations. Help us deliver solutions that ensure Life Is On everywhere, for everyone and at every moment: Great people make Schneider Electric a great company. We seek out and reward people for putting the customer first, being disruptive to the status quo, embracing different perspectives, continuously learning, and acting like owners. We want our employees to reflect the diversity of the communities in which we operate. We welcome people as they are, creating an inclusive culture where all forms of diversity are seen as a real value for the company. We’re looking for people with a passion for success — on the job and beyond. Qualifications Responsibilities Partners with lines of business to understand business problems and translate them into identifiable machine learning problems which can be delivered as technical solutions and actionable recommendations across the organization Coordinate with business teams to monitor outcomes and refine/ improve the machine learning models Work across the spectrum of statistical modelling including supervised, unsupervised, & deep learning techniques to apply the right level of solution to the right problem Collaborate & share best practices with data and software engineers to enable consistent deployment of high-quality models that will scale across the company’s ecosystem Own the code review process to ensure stringent coding guidelines are met by other data scientists & data engineers Mentor & lead Data Science engineers in choosing the right machine learning approach/ models & utilizing open source languages such as R, Python, etc. Lead data mining and collection procedures for all business use cases and guarantee data quality and integrity Utilize Data visualization tools to deliver insights to stakeholders and present technical solutions to non-technical audience in a simple and clear manner Track emerging developments w.r.t technology, tools, practices, etc in the open source, data science/machine learning/chatbot domain and leverage same for Schneider Electric Build frameworks leveraging APIs to industrialize AI models across the organization Adhere to stringent quality assurance and documentation standards using version control and code repositories (e.g., Git, GitHub, Markdown) Requirements and Skills You should have bachelor’s or Master’s degree in Computer Science, Statistics or Mathematics, Informatics, Information Systems or another quantitative field You should have 7+ years of experience in solving real life complex business problems using machine learning. Hands-on experience in deploying these machine learning solutions to production is mandatory. In depth understanding of NLP, LLM, Generative AI, RAG application development. In-depth understanding and modeling experience in supervised, unsupervised, reinforcement and deep learning models; hands-on knowledge of data wrangling, data cleaning/ preparation, dimensionality reduction is required Knowledge of vector algebra, statistical and probabilistic modelling is highly desirable Exploratory data analysis and hypothesis testing to identify ML opportunities is a plus Experience in major machine learning frameworks such as Pytorch, Scikit-Learn, Tensorflow, Pandas, SparkML etc. Fluency in programming skills such as Python, R, or other equivalent languages Familiarity with databases like MySQL, Oracle, SQL Server, NoSQL, etc. is desirable Experience working with Amazon SageMaker or Azure ML Studio for deployments is required Experience in data visualization software such as Tableau, ELK, etc is a plus Strong analytical and critical thinking skills. You should also have a business mindset, swift to identify risk situations and opportunities, and able to generate creative solutions to business problems Effective communication skills (written and verbal) to properly articulate complicated statistical models/ reports to management and other IT development partners Primary Location : IN-Karnataka-Bangalore Schedule : Full-time Unposting Date : Ongoing

It's fun to work in a company where people truly BELIEVE in what they're doing! We're committed to bringing passion and customer focus to the business. Job Description Machine Learning Engineer – RAG & Fine-Tuning This role requires working from our local Hyderabad office 2-3x a week. Location: Hyderabad, Telangana, India ABOUT ABC FITNESS ABC Fitness (ABC) is the global market leader in providing technology solutions to the fitness industry. Built on a 40+ year reputation of excellence, ABC helps fitness providers of all sizes and backgrounds to turn their visions into seamless reality. Founded in 1981, ABC serves 40 million+ members globally, processing over $11B+ in payments annually for 31,000 clubs across 92+ countries. Our integrated suite includes best-of-breed platforms: Evo, Glofox, Ignite, and Trainerize. As a Thoma Bravo portfolio company, ABC is backed by the leading private equity firm focused on enterprise software. Learn more at abcfitness.com . ABOUT THE TEAM The AI Platform Engineering team at ABC builds scalable, high-performance AI systems that power next-generation fitness technology. We specialize in retrieval-augmented generation (RAG) architectures and fine-tuning methodologies to deliver context-aware, cost-efficient AI solutions. As our Machine Learning Engineer, you will be responsible for all retrieval and intelligence behind the LLM, delivering performant, low-cost, high-context AI features. At ABC, we love entrepreneurs because we are entrepreneurs. We roll our sleeves up, we act fast, and we learn together. WHAT YOU’LL DO Handle embeddings and chunking strategies to optimize document and data retrieval for GenAI-powered features. Manage vector stores and retrieval workflows using leading vector databases (Pinecone, FAISS, Weaviate, Azure AI Search) to ensure efficient, scalable access to unstructured and structured data. Fine-tune small and large language models using frameworks such as HuggingFace and OpenAI APIs, tailoring models to domain-specific requirements and improving performance on targeted tasks. Optimize cost and reduce latency by implementing best practices for token management, model evaluation, and cloud resource utilization. Collaborate with engineering, product, and data teams to integrate RAG pipelines into production systems, ensuring reliability, scalability, and security. Stay up-to-date with the latest advancements in retrieval-augmented generation, vector search, and LLM fine-tuning, applying new techniques to improve system performance and user experience. WHAT YOU’LL NEED 4–7 years of experience in machine learning or AI engineering, with a proven track record in RAG, vector search, and LLM fine-tuning. Deep expertise with vector databases such as Pinecone, FAISS, Weaviate, or Azure AI Search, including experience designing retrieval workflows and managing embeddings. Familiarity with HuggingFace and OpenAI fine-tuning APIs, and strong understanding of chunking strategies for optimizing retrieval. Proficiency in Python and experience with ML frameworks (PyTorch, TensorFlow) and cloud platforms (AWS, Azure). Understanding of token management, evaluation tuning, and cost optimization for large-scale AI deployments. Strong problem-solving skills, a collaborative mindset, and the ability to communicate complex technical concepts to both technical and non-technical stakeholders. AND IT’S GREAT TO HAVE Experience with NLP, NLU, and NLG techniques for conversational AI or information retrieval. Exposure to ML Ops tools for model monitoring, evaluation, and deployment (ML flow, Weights & Biases). Experience with model compression, quantization, or other efficiency techniques. Certifications in AWS Machine Learning Specialty or Microsoft AI Engineer. WHAT’S IN IT FOR YOU: Purpose led company with a Values focused culture – Best Life, One Team, Growth Mindset Time Off – competitive PTO plans with 15 Earned accrued leave, 12 days Sick leave, and 12 days Casual leave per year 11 Holidays plus 4 Days of Disconnect – once a quarter, we take a collective breather and enjoy a day off together around the globe. #oneteam Group Mediclaim insurance coverage of INR 500,000 for employee + spouse, 2 kids, and parents or parent-in-laws, and including EAP counseling Life Insurance and Personal Accident Insurance Best Life Perk – we are committed to meeting you wherever you are in your fitness journey with a quarterly reimbursement Premium Calm App – enjoy tranquility with a Calm App subscription for you and up to 4 dependents over the age of 16 Support for working women with financial aid towards crèche facility, ensuring a safe and nurturing environment for their little ones while they focus on their careers. We’re committed to diversity and passion, and encourage you to apply, even if you don’t demonstrate all the listed skillsets! ABC’S COMMITMENT TO DIVERSITY, EQUALITY, BELONGING AND INCLUSION: ABC is an equal opportunity employer. We celebrate diversity and are committed to creating an inclusive environment for all employees. We are intentional about creating an environment where employees, our clients and other stakeholders feel valued and inspired to reach their full potential and make authentic connections. We foster a workplace culture that embraces each person’s diversity, including the extent to which they are similar or different. ABC leaders believe that an equitable and inclusive culture is not only the right thing to do, it is a business imperative. Read more about our commitment to diversity, equality, belonging and inclusion at abcfitness.com ABOUT ABC: ABC Fitness (abcfitness.com) is the premier provider of software and related services for the fitness industry and has built a reputation for excellence in support for clubs and their members. ABC is the trusted provider to boost performance and create a total fitness experience for over 41 million members of clubs of all sizes whether a multi-location chain, franchise or an independent gym. Founded in 1981, ABC helps over 31,000 gyms and health clubs globally perform better and more profitably offering a comprehensive SaaS club management solution that enables club operators to achieve optimal performance. ABC Fitness is a Thoma Bravo portfolio company, a private equity firm focused on investing in software and technology companies (thomabravo.com). #LI-HYBRID If you like wild growth and working with happy, enthusiastic over-achievers, you'll enjoy your career with us!

Location Chennai, Tamil Nadu, India Job ID R-230200 Date posted 26/06/2025 Job Title: Senior Consultant - AI Engineer Introduction to role: Are you ready to redefine an industry and change lives? As a Senior Consultant - AI Engineer, you'll develop and deploy key AI products that generate business and scientific insights through advanced data science techniques. Dive into building models using both foundational and innovative methods, processing structured and unstructured data, and collaborating closely with internal partners to solve complex problems in drug development, manufacturing, and supply chain. This is your chance to make a direct impact on patients by transforming our ability to develop life-changing medicines! About the Operations IT team Operations IT is a global capability supporting the Global Operations organization across Pharmaceutical Technology Development, Manufacturing & Global Engineering, Quality Control, Sustainability, Supply Chain, Logistics, and Global External Sourcing and Procurement. We operate from key hubs in the UK, Sweden, the US, China, and our Global Technology Centers in India and Mexico. Our work directly impacts patients by transforming our ability to develop life-changing medicines, combining pioneering science with leading digital technology platforms and data. Accountabilities: Drive the implementation of advanced modelling algorithms (e.g., classification, regression, clustering, NLP, image analysis, graph theory, generative AI) to generate actionable business insights. Mentor AI scientists, plan and supervise technical work, and collaborate with stakeholders. Work within an agile framework and in multi-functional teams to align AI solutions with business goals. Engage internal stakeholders and external partners for the successful delivery of AI solutions. Continuously monitor and optimize AI models to improve accuracy and efficiency (scalable, reliable, and well-maintained). Document processes, models, and key learnings & contribute to building internal AI capabilities. Ensure AI models adhere to ethical standards, privacy regulations, and fairness guidelines. Essential Skills/Experience: Bachelor's in operations research, mathematics, computer science, or related quantitative field. Advanced expertise in Python and familiarity with database systems (e.g. SQL, NoSQL, Graph). Proven proficiency in at least 3 of the following domains: Generative AI: advanced expertise working with: LLMs/transformer models, AWS Bedrock, SageMaker, LangChain Computer Vision: image classification and object detection MLOps: putting models into production in the AWS ecosystem Optimization: production scheduling, planning Traditional ML: time series analysis, unsupervised anomaly detection, analysis of high dimensional data Proficiency in ML libraries sklearn, pandas, TensorFlow/PyTorch Experience productionizing ML/ Gen AI services and working with complex datasets. Strong understanding of software development, algorithms, optimization, and scaling. Excellent communication and business analysis skills. Desirable Skills/Experience: Master’s or PhD in a relevant quantitative field. Cloud engineering experience (AWS cloud services) Snowflake Software development experience (e.g. React JS, Node JS) When we put unexpected teams in the same room, we unleash bold thinking with the power to inspire life-changing medicines. In-person working gives us the platform we need to connect, work at pace and challenge perceptions. That's why we work, on average, a minimum of three days per week from the office. But that doesn't mean we're not flexible. We balance the expectation of being in the office while respecting individual flexibility. Join us in our unique and ambitious world. At AstraZeneca, we leverage technology to impact patients and ultimately save lives. Our global organization is purpose-led, ensuring that we can fulfill our mission to push the boundaries of science and discover life-changing medicines. We take pride in working close to the cause, opening the locks to save lives, ultimately making a massive difference to the outside world. Here you'll find a dynamic environment where innovation thrives and diverse minds work inclusively together. Ready to make a meaningful impact? Apply now and be part of our journey to revolutionize healthcare! Date Posted 27-Jun-2025 Closing Date 09-Jul-2025 AstraZeneca embraces diversity and equality of opportunity. We are committed to building an inclusive and diverse team representing all backgrounds, with as wide a range of perspectives as possible, and harnessing industry-leading skills. We believe that the more inclusive we are, the better our work will be. We welcome and consider applications to join our team from all qualified candidates, regardless of their characteristics. We comply with all applicable laws and regulations on non-discrimination in employment (and recruitment), as well as work authorization and employment eligibility verification requirements.

About Bloomfield Innovations: Bloomfield Innovations is a leading provider of integrated Education ERP solutions designed to streamline and enhance educational institutions' administrative and academic processes. We deliver intelligent systems that simplify administration, improve academic outcomes, and enhance educational excellence. At the heart of our vision is the commitment to harness cutting-edge technologies—including Artificial Intelligence—to redefine the future of education. Role Overview: We are looking for an innovative and driven AI Developer to join our development team. You will be responsible for designing and deploying AI-powered features within our Education ERP platform to optimize academic processes, personalize learning, and automate complex administrative tasks. As an AI Developer at Bloomfield Innovations, you will work closely with product managers and software support engineers. This role combines cutting-edge AI/ML development with real-world impact in the education domain. Key Responsibilities: ● Design, develop, and integrate AI/ML models into the Bloomfield ERP platform. ● Implement smart features for product development. ● Eg : Predictive analytics for student performance and dropout risk. Intelligent scheduling and resource planning. AI-powered chatbots for student/parent queries. Personalized learning recommendations. Automated grading and feedback systems. ● Use NLP to analyze academic content, feedback, and communications. ● Work with large datasets from colleges, and universities to derive actionable insights. ● Collaborate with UI/UX teams to bring AI solutions to life in the product interface. ● Ensure that all AI applications adhere to data privacy, security, and ethical standards in education. ● Collaborate with cross-functional teams to integrate AI solutions into the ERP platform seamlessly. ● Evaluate and improve AI models for accuracy, scalability, and real-world performance. ● Stay updated with the latest advancements in AI and EdTech to bring innovative ideas into product development. Required Skills & Qualifications: ● Bachelor’s or Master’s degree in Computer Science, Artificial Intelligence, Data Science, or a related field. ● Proven experience in developing and deploying machine learning or AI models in real-world applications. ● Proficiency in Python and ML frameworks (e.g., TensorFlow, PyTorch, Scikit-learn). ● Strong knowledge of algorithms, statistics, and data structures. ● Experience working with NLP libraries (e.g., spaCy, NLTK, Hugging Face Transformers). ● Ability to work with structured and unstructured data. ● Understanding of RESTful APIs, cloud platforms (AWS/GCP/Azure), and MLOps practices. ● Strong problem-solving skills and the ability to work collaboratively in a product-driven environment. Job Type: Full-time Pay: ₹20,000.00 - ₹60,000.00 per month Location Type: In-person Schedule: Day shift Ability to commute/relocate: Rajkot, Rajkot, Gujarat: Reliably commute or planning to relocate before starting work (Preferred) Experience: Software development: 2 years (Preferred) Work Location: In person Speak with the employer +91 9099939554

Position: AI/ML Lead (Associate Director Level) Experience: 11+ years Mode: Hybrid Salary: Upto 75 LPA We are looking for hiring a AI/ML Lead for one of our well established MNC Client Proficiency in understanding pulling structured and unstructured data from legacy systems to create a data architecture that can drive AI/ML efforts. Ability to engage actively with internal stakeholders, helping them understand the intricacies of AI/ML solutions and factors involved in successful execution. Ability to leverage latest AI offerings (ChatGPT, GPT 4, CoPilots, Tesseract OCR, OCR with CNN) from Microsoft, AWS, IBM and other providers to deliver solutions specific to the business interests Deep hands-on understanding of OCR and BI technologies Proven track record in thought leadership, particularly in IT modernization and innovation, to expedite immigration benefits and solve business problems. Solution Architect mindset, adept in planning data usage for delivering outcomes through multiple applications and continuously improving AI & ML models. Essential Qualifications: 11 years in IT with a focus on enterprise data architecture, ML, and BI 5+ years leading data teams around enterprise scale AI/ML or RPA efforts 3+ years hands-on experience leading teams on use of deep learning frameworks (e.g. Tensorflow or PyTorch) Experience with Prompt Engineering for conversational AI Proficiency in managing big data and distributed computing environments (e.g., Databricks, Spark, Dask). Proven experience in leveraging LLMs for analytics and decision making Highly proficient in AWS or Azure data processing (e.g., EC2, S3, Redshift). Hands-on leadership of Bachelor's degree in Data Science, Statistics, Computer Science, IT Management, Engineering, or similar. Bonus Qualifications: Expertise in Advanced AI Domains: Proficiency in areas such as Natural Language Processing (NLP), OCR with CNN, and AGI showcasing a broad and deep understanding of AI technologies. Client Engagement and Collaboration: Excellent skills in engaging with clients, coupled with a strong ability to collaborate on new ideas and concepts, indicating both interpersonal and creative capabilities. Innovation and Team Leadership: Experience in creating and implementing innovative roadmaps and aligning teams for efficient delivery, reflecting leadership and strategic planning abilities. Data Process Management: Demonstrated expertise in managing and moving data through various processes, ensuring accountability for outcomes, emphasizing operational and execution skills. Work Ethic and Team Spirit: An independent worker who embodies a strong work ethic and team spirit, ensuring a balance between autonomy and collaboration.

Principal Data Scientist Experience : 14-16 years Job Summary We are seeking a highly experienced AI Lead - Principal Data Scientist to spearhead the delivery of multiple AI and machine learning projects across industries such as supply chain, logistics, pricing, manufacturing, and workforce planning. This role combines deep hands-on expertise in AI/ML/Gen AI (50%) with strategic leadership and cross-functional stakeholder management. You will lead enterprise AI solutions from concept to production, architect scalable cloud-native platforms, and collaborate with business and technology teams to deliver measurable business outcomes. Key Responsibilities Technical Leadership & Solutioning : Design, build, and deploy advanced AI, machine learning, deep learning, and Gen AI solutions using Python, Scikit-learn, TensorFlow/PyTorch, and LangChain/OpenAI APIs. Architect and implement end-to-end AI systems including data ingestion, preprocessing, model training, validation, and deployment. Develop modular, reusable components and APIs (FastAPI/Flask) for inference and integration with digital applications. Lead cloud-native development on AWS, Azure, or GCP for scalable deployment of AI models and pipelines. Project & Delivery Ownership Manage the delivery of multiple concurrent AI/ML/Gen AI initiatives, ensuring quality, timeliness, and business alignment. Define technical roadmap, sprint plans, and milestone goals; track delivery KPIs and model performance in production. Guide agile teams through best practices in model lifecycle management, DevOps/MLOps, and reusable IP development. Business Engagement & Techno-Functional Consulting Act as the techno-functional bridge between business and engineering teams to translate high-level problems into AI/ML use cases. Conduct business value assessments, requirement workshops, and stakeholder reviews. Drive adoption by presenting explainable AI results using visual storytelling and decision support tools. Team Enablement & Innovation Mentor and upskill junior data scientists and engineers in best practices, new AI trends, and real-world problem-solving. Stay current with the latest trends in Generative AI, LLMs, Vision AI, and responsible AI practices. Contribute to internal frameworks, accelerators, and reusable artifacts for faster go-to-market. Required Skills & Qualifications Bachelor's or Master's in Computer Science, AI/ML, Data Science, or related quantitative field. 10-13 years of experience in delivering AI/ML solutions at scale with at least 5 years in a lead or principal role. Hands-on expertise in Python, ML/DL frameworks (TensorFlow, PyTorch, Scikit-learn) and Generative AI (OpenAI, Llama, LangChain). Strong cloud development experience with AWS, GCP, or Azure, including AI/ML services and containerized deployments. Experience deploying models in production via APIs and integrating with enterprise applications. Excellent communication, stakeholder management, and problem-solving skills. Preferred Qualifications Experience in Generative AI (LLMs, prompt engineering, RAG pipelines). Familiarity with MLOps tools (MLflow, Airflow, DVC, Kubeflow). Working knowledge of data engineering workflows, feature stores, and streaming/batch data pipelines. Exposure to data visualization tools like Streamlit, Dash, or Power BI for presenting insights. Certifications in cloud (AWS/GCP/Azure), AI/ML, or data science. (ref:hirist.tech)

Department Development Location Remote Europe (United Kingdom, Germany, Switzerland, Netherlands) Remote US Remote India Position type Full Time Work Type Full Remote Position Description Deque is seeking an AI Engineer to join our Scan & Results Team. This position will play a key role in applying state-of-the-art machine learning and AI techniques to enhance automated accessibility testing, drive intelligent analysis of scan results, and develop algorithms that add value to our product suite. You will work to build scalable ML systems that integrate into our core products, and ensure they are robust, ethical, and aligned with Deque’s mission of digital equality. The ideal candidate would have experience deploying ML models in production environments, preferably in the domains of computer vision, and NLP. An understanding of supervised and unsupervised learning, model evaluation, data science, and responsible AI principles is essential. Prior work in accessibility or web technologies is a plus. Apply Now Primary Responsibilities Process and collect data for AI systems, create and maintain data pipelines for developing and deploying AI algorithms at scale Research the state of the art in AI/ML and creatively apply it to our mission of digital equality Design and develop algorithms using AI/ML to enhance our product suite and increase automation Contribute to technical documentation and share findings with stakeholders through demos, presentations, and reports Evaluate algorithm performance using rigorous statistical and domain-relevant metrics, iterating for continual improvement Participate in code reviews, team planning, and cross-functional collaborations to ensure high engineering standards Requirements 3+ years of experience in machine learning or AI engineering, with a strong focus on deploying models in production environments. Proficiency with Python and common ML libraries such as TensorFlow, PyTorch, Scikit-learn, or Hugging Face Transformers. Experience building and maintaining scalable ML infrastructure Strong back-end engineering skills, including designing APIs, integrating with cloud services, and building infrastructure to support ML workflows. Hands-on experience with data engineering tools and workflows (e.g., AWS Glue, Athena, Spark, or similar). Strong understanding of model lifecycle management, including training, evaluation, deployment, and monitoring in real-world systems. Familiarity with web technologies (HTML, CSS, JavaScript) and an interest in digital accessibility. Excellent communication skills, with the ability to explain complex ML concepts to both technical and non-technical audiences. Additional Skills Desired Computer Vision, NLP Docker & AWS Accessibility knowledge Apply Now

Use GPT API or Llama to develop custom frameworks for investment management alternate data analysis Use Orchestration tools like N8n for document ingestion Setup on cloud or private using Coreweave Lead Machine Learning and UI Engineers Required Candidate profile 3+ years of development experience in .NET , Python and Azure 3+ years of experience in Data Science along with hands on GenAI and LLMs Experience with VectorDB, documentation ingestion workflows etc.

Job Title: Faculty - Data Science & AIML Location: Tilak Maharashtra Vidyapeeth, 2nd floor, Kesari Wada, Narayan Peth, Pune 411030 Job Type: Full-Time / Visiting basis Job Summary: We are seeking a dynamic and experienced faculty member to join our institution's Data Science department. The ideal candidate will have a strong background in data science, artificial intelligence, machine learning, and related fields. The faculty member will be responsible for teaching undergraduate and/or graduate courses, conducting research, mentoring students, and contributing to the academic community. Key Responsibilities:Develop and deliver courses in Data Science, Machine Learning, Artificial Intelligence, Big Data Analytics, and related fields. Conduct high-quality research and publish in peer-reviewed journals and conferences. Supervise and mentor students in academic and research activities. Collaborate with industry partners for research and project opportunities. Participate in curriculum development and enhancement. Engage in departmental and institutional service activities. Stay updated with the latest advancements in Data Science and incorporate them into teaching and research. Qualifications and Requirements: A Ph.D. or Master's degree in Data Science, Computer Science, Statistics, or a related field. Prior teaching experience at the university level is preferably more than 5 years +. Strong research background with publications in reputed journals/conferences. Proficiency in programming languages such as Python, R, SQL, and data science tools. Excellent communication and presentation skills. Experience with Offline, online and hybrid teaching methodologies is an advantage. Preferred Skills:Hands-on experience with cloud computing platforms (AWS, Azure, Google Cloud). Knowledge of deep learning frameworks such as TensorFlow or PyTorch. Industry experience in Data Science projects is a plus. Ability to work in a multidisciplinary environment. Application Process: Interested candidates should submit their CV, a cover letter, teaching philosophy, and a list of references to hr.tmvcomputerscience@gmail.com. You can even whats app your cv @ 8459246028 Applications will be reviewed on a rolling basis until the position is filled. Department of Computer Science - Tilak Maharashtra University is an equal opportunity employer and encourages diversity in the workplace. Best Regards, Tilak Maharashtra University

Job Description 💰 Compensation Note: The budget for this role is fixed at INR 50–55 lakhs per annum (non-negotiable). Please ensure this aligns with your expectations before applying. 📍 Work Setup: This is a hybrid role , requiring 3 days per week onsite at the office in Hyderabad, India . 📝 Interview Process: The process consists of 6 stages , including a technical assessment, code review, code discussion , and panel interviews . Company Description: Blend is a premier AI services provider, committed to co-creating meaningful impact for its clients through the power of data science, AI, technology, and people. With a mission to fuel bold visions, Blend tackles significant challenges by seamlessly aligning human expertise with artificial intelligence. The company is dedicated to unlocking value and fostering innovation for its clients by harnessing world-class people and data-driven strategy. We believe that the power of people and AI can have a meaningful impact on your world, creating more fulfilling work and projects for our people and clients. Job Description : We are looking for an AI Engineer with experience in Speech-to-text and Text Generation to solve a Conversational AI challenge for our client based in EMEA. The focus of this project is to transcribe conversations and leverage generative AI-powered text analytics to drive better engagement strategies and decision-making. The ideal candidate will have deep expertise in Speech-to-Text (STT), Natural Language Processing (NLP), Large Language Models (LLMs), and Conversational AI systems. This role involves working on real-time transcription, intent analysis, sentiment analysis, summarization, and decision-support tools. Key Responsibilities: Conversational AI & Call Transcription Development Develop and fine-tune automatic speech recognition (ASR) models Implement language model fine-tuning for industry-specific language. Develop speaker diarization techniques to distinguish speakers in multi-speaker conversations. NLP & Generative AI Applications Build summarization models to extract key insights from conversations. Implement Named Entity Recognition (NER) to identify key topics. Apply LLMs for conversation analytics and context-aware recommendations. Design custom RAG (Retrieval-Augmented Generation) pipelines to enrich call summaries with external knowledge. Sentiment Analysis & Decision Support Develop sentiment and intent classification models. Create predictive models that suggest next-best actions based on call content, engagement levels, and historical data. AI Deployment & Scalability Deploy AI models using tools like AWS, GCP, Azure AI, ensuring scalability and real-time processing. Optimize inference pipelines using ONNX, TensorRT, or Triton for cost-effective model serving. Implement MLOps workflows to continuously improve model performance with new call data. Qualifications: Technical Skills Strong experience in Speech-to-Text (ASR), NLP, and Conversational AI. Hands-on expertise with tools like Whisper, DeepSpeech, Kaldi, AWS Transcribe, Google Speech-to-Text. Proficiency in Python, PyTorch, TensorFlow, Hugging Face Transformers. Experience with LLM fine-tuning, RAG-based architectures, and LangChain. Hands-on experience with Vector Databases (FAISS, Pinecone, Weaviate, ChromaDB) for knowledge retrieval. Experience deploying AI models using Docker, Kubernetes, FastAPI, Flask. Soft Skills Ability to translate AI insights into business impact. Strong problem-solving skills and ability to work in a fast-paced AI-first environment. Excellent communication skills to collaborate with cross-functional teams, including data scientists, engineers, and client stakeholders. Preferred Qualifications Experience in healthcare, pharma, or life sciences NLP use cases. Background in knowledge graphs, prompt engineering, and multimodal AI. Experience with Reinforcement Learning (RLHF) for improving conversation models.

When you join Verizon You want more out of a career. A place to share your ideas freely even if theyre daring or different. Where the true you can learn, grow, and thrive. At Verizon, we power and empower how people live, work and play by connecting them to what brings them joy. We do what we love driving innovation, creativity, and impact in the world. Our V Team is a community of people who anticipate, lead, and believe that listening is where learning begins. In crisis and in celebration, we come together lifting our communities and building trust in how we show up, everywhere & always. Want in? Join the #VTeamLife. What Youll Be Doing... Join Verizon as we continue to grow our industry-leading network to improve the ways people, businesses, and things connect. We are looking for an experienced, talented and motivated AI&ML Engineer to lead AI Industrialization for Verizon. You will also serve as a subject matter expert regarding the latest industry knowledge to improve the Home Product and solutions and/or processes related to Machine Learning, Deep Learning, Responsible AI, Gen AI, Natural Language Processing, Computer Vision and other AI practices. Deploying machine learning models - On Prem, Cloud and Kubernetes environments Driving data-derived insights across the business domain by developing advanced statistical models, machine learning algorithms and computational algorithms based on business initiatives. Creating and implementing data and ML pipelines for model inference, both in real-time and in batches. Architecting, designing, and implementing large-scale AI/ML systems in a production environment. Monitor the performance of data pipelines and make improvements as necessary What were looking for... You have strong analytical skills and are eager to work in a collaborative environment with global teams to drive ML applications in business problems, develop end-to-end analytical solutions, and communicate insights and findings to leadership. You work independently and are always willing to learn new technologies. You thrive in a dynamic environment and can interact with various partners and multi-functional teams to implement data science-driven business solutions. You'll Need To Have Bachelor's degree with four or more years of relevant work experience. Expertise in advanced analytics/ predictive modelling in a consulting role. Experience with all phases of end-to-end Analytics project Hands-on programming expertise in Python (with libraries like NumPy, Pandas, Scikit-learn, TensorFlow, PyTorch), R (for specific data analysis tasks) Knowledge of Machine Learning Algorithms - Linear Regression, Logistic Regression, Decision Trees, Random Forests, Support Vector Machines (SVMs), Neural Networks (Deep Learning), Bayesian Networks Data Engineering - Data Cleaning and Preprocessing, Feature Engineering, Data Transformation, Data Visualization Cloud Platforms - AWS SageMaker, Azure Machine Learning, Cloud AI Platform Even better if you have one or more of the following: Advanced degree in Computer Science, Data Science, Machine Learning, or a related field. Knowledge on Home domain with key areas like Smart Home, Digital security and wellbeing Experience with stream-processing systems: Spark-Streaming, Storm etc. #TPDNONCDIO Where youll be working In this hybrid role, you'll have a defined work location that includes work from home and assigned office days set by your manager. Scheduled Weekly Hours 40 Equal Employment Opportunity Verizon is an equal opportunity employer. We evaluate qualified applicants without regard to race, gender, disability or any other legally protected characteristics. Locations Hyderabad, India Chennai, India

Note: By applying to this position you will have an opportunity to share your preferred working location from the following: Bengaluru, Karnataka, India; Pune, Maharashtra, India . Minimum qualifications: Bachelor’s degree in Science, Technology, Engineering, Mathematics, or equivalent practical experience. 4 years of experience coding in a general purpose coding language or in system design, and troubleshooting and advocating for customers' needs, and triaging technical issues. 4 years of experience with 2 or more of the following: Web Tech, Data/Big Data, Systems Admin, Machine Learning, Networking, Kubernetes. Experience in Computer Networking (e.g., Firewalls, Routing, Load balancing, etc.), web technologies (e.g., HTTP, HTML, DNS, TCP, etc.). Experience in Artificial intelligence (AI) concepts and techniques. Experience with AI model trainings, performance analysis and integration with other Cloud services. Preferred qualifications: 2 years of experience in recommendation systems, NLP, speech recognition, or computer vision. Experience with exploratory data analysis, model development, auxiliary practical concerns in production ML systems. Experience in Generative AI understanding of Prompt Engineering, tokenization. Experience with public cloud services and infrastructure. Experience with troubleshooting ML models (e.g., Tensorflow, Keras, PyTorch). Experience with performance analysis of containerized systems, with understanding of underlying resources like Kubernetes, compute resources. Excellent leadership and influencing skills in AI/ML application, with the ability to lead the design and implementation of AI-based solutions, web services, and debugging tools. About The Job The Google Cloud team helps companies, schools, and government seamlessly make the switch to Google products and supports them along the way. You listen to the customer and swiftly problem-solve technical issues to show how our products can make businesses more productive, collaborative, and innovative. You work closely with a cross-functional team of web developers and systems administrators, not to mention a variety of both regional and international customers. Your relationships with customers are crucial in helping Google grow its Cloud business and helping companies around the world innovate. As a Technical Solutions Engineer, you will be a part of a global team that provides support for customer issues. You will ensure we have the necessary tools, processes, and needed technical knowledge to resolve the issue. In this role, you will troubleshoot technical problems for customers with a mix of debugging, networking, system administration, updating documentation and when needed coding/scripting. You will make our products easier to adopt and use by making improvements to the products, tools, processes and documentation. You'll help drive the success of Google Cloud by understanding and advocating for our customer issues. You will work in a Shift Pattern or non-standard work hours as needed, including weekends. Google Cloud accelerates every organization’s ability to digitally transform its business and industry. We deliver enterprise-grade solutions that leverage Google’s cutting-edge technology, and tools that help developers build more sustainably. Customers in more than 200 countries and territories turn to Google Cloud as their trusted partner to enable growth and solve their most critical business problems. Responsibilities Work with customers on their ML deployments to resolve issues, achieve production readiness, availability, and scale. Partner with Product and engineering teams to improve products based on customer feedback. Understand customer issues, advocate for their needs with internal teams, including product and engineering teams, to find ways to improve the product, fix product bugs, drive production. Manage customer problems through effective diagnosis, resolution, documentation, or implementation of investigation tools to increase productivity for customer issues on Google Cloud Platform products. Develop an understanding of Google Cloud’s AI/ML products/solutions and underlying architectures by troubleshooting, reproducing, and determining the root cause for customer-reported issues, building tools for faster diagnosis. Act as consultant and subject matter expert for internal stakeholders in engineering, sales, and customer organizations to resolve technical deployment obstacles and improve Google Cloud. Google is proud to be an equal opportunity workplace and is an affirmative action employer. We are committed to equal employment opportunity regardless of race, color, ancestry, religion, sex, national origin, sexual orientation, age, citizenship, marital status, disability, gender identity or Veteran status. We also consider qualified applicants regardless of criminal histories, consistent with legal requirements. See also Google's EEO Policy and EEO is the Law. If you have a disability or special need that requires accommodation, please let us know by completing our Accommodations for Applicants form .

About The Company Clarifai is a leading, compute orchestration AI platform specializing in computer vision and generative AI. We empower organizations to transform unstructured image, video, text, and audio data into actionable insights, significantly faster and more accurately than manual processes. Founded in 2013 by Matt Zeiler, Ph.D., Clarifai has been at the forefront of AI innovation since achieving the top five placements in the 2013 ImageNet Challenge. Our diverse, globally distributed team operates across the United States, Canada, Estonia, Argentina, and India. We have secured $100M in funding, including a $60M Series C round, backed by industry leaders such as Menlo Ventures, Union Square Ventures, Lux Capital, NEA, LDV Capital, Corazon Capital, Google Ventures, NVIDIA, Qualcomm, and Osage. Clarifai is proud to be an equal-opportunity workplace committed to building and maintaining a diverse and inclusive team. Key Responsibilities Identify trending open-source AI models with strong community adoption, import them into the Clarifai Community, and validate them across real-world use cases. Create clear, engaging previews and demos—both technical and non-technical—that showcase model capabilities. Collaborate with Marketing to promote new models and generate compelling content around them. Engage with the open-source AI community to build relationships with original model authors and increase backlink visibility. Develop lightweight Python-based demos and utilities to highlight model performance and usability. Impact As an ML Community Ops Engineer, you will directly contribute to growing Clarifai's model ecosystem by adding cutting-edge AI models and making them accessible to users. Your work will expand Clarifai's reach, improve discoverability, and ensure our platform remains at the forefront of open-source AI. By bridging engineering, marketing, and community engagement, you'll help solidify Clarifai's presence in the AI developer ecosystem. Requirements Strong experience developing, fine-tuning, and evaluating machine learning models, including familiarity with model architectures and key evaluation metrics. Expertise in deep learning frameworks (e.g., PyTorch, TensorFlow, JAX) and architectures such as transformers and CNNs. Actively follows AI and ML trends—staying current with emerging models, benchmarks, and communities. Proficiency in Python, with ability to write clean, efficient code for ML workflows and data pipelines. Experience working with cloud platforms (e.g., AWS, GCP, Azure) for model deployment and compute orchestration. Solid software engineering fundamentals, including Git, modular design, and code testing. Practical experience with data preprocessing, feature engineering, and analysis of large datasets. Great to Have Strong experience developing, fine-tuning, and evaluating machine learning models, including familiarity with model architectures and key evaluation metrics. Expertise in deep learning frameworks (e.g., PyTorch, TensorFlow, JAX) and architectures such as transformers and CNNs. Actively follows AI and ML trends—staying current with emerging models, benchmarks, and communities. Proficiency in Python, with ability to write clean, efficient code for ML workflows and data pipelines. Solid software engineering fundamentals, including Git, modular design, and code testing. Practical experience with data preprocessing, feature engineering, and analysis of large datasets.

Organization Overview: ML Solutions team within Markets OPS Technology is dedicated to developing solutions using Artificial Intelligence, Machine Learning and Generative AI. This team is a leader in creating new ideas, innovative technology solutions, and ground-breaking solutions for Markets Operations and Other Line of Businesses. We work closely with our clients and business partners to progress solutions from ideation to production by leveraging the entrepreneurial spirit and technological excellence. Job Description: ML Solutions team is seeking a highly skilled and experienced Data Analytics/Machine Learning Engineer with a strong background in developing and deploying AI/ML models and Gen AI based solutions. In this hands-on role, you will be responsible for taking AI models from concept to production, utilizing traditional AI, generative AI and Large Language Models. You will collaborate closely with business partners and stakeholders to introduce and embrace these advanced technologies, elevating client experiences, delivering value to our customers, and ensuring regulatory compliance through cutting-edge technology solutions. Key Responsibilities: Hands-On Execution and Delivery: Actively contribute to the development and delivery of AI solutions, driving innovation and excellence within the team. Take a hands-on approach to ensure AI models are successfully deployed into production environments, meeting high-quality standards and performance benchmarks. Quality Control: Ensure the quality and performance of generative AI models, conducting rigorous testing and evaluation. Research and Development: Participate in research activities to explore and advance state-of-the-art generative AI techniques. Stay actively engaged in monitoring ongoing research efforts, keeping abreast of emerging trends, and ensuring that the Generative AI team remains at the forefront of the field. Cross-Functional Collaboration: Collaborate effectively with various teams, including product managers, engineers, and data scientists, to integrate AI technologies into products and services. 2-4 years of relevant experience Skills & Qualifications: Strong hands-on experience in Machine Learning, delivering complex solutions to production. Experience with Generative AI technologies essential. Knowledge of NLP, Name Entity Recognition In-depth knowledge of deep learning and Generative AI frameworks such as, Langchain, Lang Graph, Crew AI or similar. Experience with and other open-source frameworks/ libraries/ APIs like Hugging Face Transformers, Spacy, Pandas, scikit-learn, NumPy. Experience in using Machine Learning/Deep Learning: XGBoost, LightGBM, TensorFlow, PyTorch. Proficiency in Python Software Development, following Object-Oriented design patterns and best practices. Strong background in mathematics: linear algebra, probability, statistics, and optimization. Experience with evaluation, scoring with framework like ML Flow Experience of Docker container and edited a Docker file, experience with K8s is a plus. Experience with Postgres and Vector DBs a plus. Excellent problem-solving skills and the ability to think creatively. Strong communication and collaboration skills, with the ability to work effectively with cross-functional teams Publications and contributions to the AI research community are a plus. Bachelor’s/Master’s degree or equivalent experience in Computer Science, Data Science, Statistics, or a related field. ------------------------------------------------------ Job Family Group: Technology ------------------------------------------------------ Job Family: Applications Development ------------------------------------------------------ Time Type: Full time ------------------------------------------------------ Most Relevant Skills Please see the requirements listed above. ------------------------------------------------------ Other Relevant Skills For complementary skills, please see above and/or contact the recruiter. ------------------------------------------------------ Citi is an equal opportunity employer, and qualified candidates will receive consideration without regard to their race, color, religion, sex, sexual orientation, gender identity, national origin, disability, status as a protected veteran, or any other characteristic protected by law. If you are a person with a disability and need a reasonable accommodation to use our search tools and/or apply for a career opportunity review Accessibility at Citi. View Citi’s EEO Policy Statement and the Know Your Rights poster.