9814 Tensorflow Jobs - Page 31

We’re looking for a passionate and curious AI/ML Developer to join our team. Whether you're a fresher with strong fundamentals or a developer with a few years of experience in building intelligent systems, this role offers the opportunity to work on exciting machine learning and data-driven solutions. You’ll be responsible for developing, training, and deploying machine learning models, working with large datasets, and collaborating with product and engineering teams to turn data into real-world impact. Key Responsibilities : Build, train, evaluate, and deploy machine learning models for real-world use cases Work with structured and unstructured data, performing data preprocessing, cleaning, and transformation Design and implement pipelines for data ingestion and model training Collaborate with software developers, data engineers, and domain experts to integrate AI/ML solutions into products Research and experiment with new algorithms and techniques to solve business problems Monitor the performance of models in production and continuously optimize them Present insights, models, and solutions clearly to technical and non-technical stakeholders Maintain clear documentation and follow best practices in coding and versioning Required Skills & Qualifications : 1–5 years of hands-on experience or academic projects in Machine Learning or Artificial Intelligence Strong programming skills in Python (preferred) or R, with experience using libraries like scikit-learn, TensorFlow, PyTorch, or Keras Solid understanding of ML concepts such as supervised/unsupervised learning, feature engineering, model evaluation Knowledge of data handling tools like Pandas, NumPy, and SQL Familiarity with NLP, Computer Vision, or Deep Learning techniques is a plus Understanding of REST APIs and integration of ML models into web applications Experience with version control tools like Git Exposure to cloud platforms such as AWS, Azure, or Google Cloud is an advantage Strong problem-solving, critical thinking, and communication skills Bachelor’s or Master’s degree in Computer Science, Data Science, Engineering, or a related field Python scikit-learn TensorFlow Keras PyTorch Pandas NumPy SQL Machine Learning Deep Learning NLP Computer Vision Git REST API Jupyter Notebooks AWS Azure Google Cloud Platform (GCP) Data Preprocessing Model Deployment We Offer 5 Day Working Paid Leave All Leave Encashment Health Insurance Festival Celebration Employee Engagement Great Work Space Annual Picnic OUR MISSION At ARK Infosoft, our mission is to empower businesses to grow by providing them with personalized IT solutions. We achieve this by leveraging the latest technologies, prioritizing our customers, and continuously seeking innovative ways to improve. Our goal is to be the most trusted partner in our clients’ journey towards digital advancement. We are dedicated to excellence, integrity, and social responsibility, aiming to create lasting value for our clients, employees, and communities. We are committed to ensuring a sustainable and prosperous future for all. OUR VISION Our vision is to establish ARK Infosoft as a leading IT company renowned for delivering creative solutions that help businesses succeed in today’s digital world. We aim to be the go-to partner for all their IT needs, fostering growth and prosperity in every industry we serve. By prioritizing innovation, collaboration, and sustainability, we envision a future where technology empowers businesses to reach their full potential. We strive to drive positive global impact, shaping a brighter tomorrow by enabling businesses to thrive in the digital age.

For 3–5 Years Experience Please share your updated via anjali.sharma@genicminds.com _ AI/ML Engineer / Data Scientist _ 1. Core Technical Skills Python (NumPy, Pandas, Scikit-learn, Matplotlib/Seaborn, beautifulsoup, selenium) SQL(MySQL/PostgreSQL), Mongo DB, NLP, Computer Vision, RAG, Vector DBs, LLMs, Agentic AI, Neural Network, RNN, CNN, LSTMs, web scraping. ML algorithms: regression, decision trees, random forests, XGBoost, SVM, KMeans, DBSCAN, etc. Model evaluation: cross-validation, precision/recall, ROC-AUC, confusion matrix 2. AI/ML Frameworks Scikit-learn, TensorFlow or PyTorch Keras Familiar with pre-trained models (e.g., BERT, ResNet, Stable Diffusion) and transfer learning 3. Practical Experience Building and deploying end-to-end ML pipeline Experience with REST APIs or Flask/FastAPI-based model deployment Version control with Git 4. Data Handling Data preprocessing, feature engineering Experience with structured, semi-structured data and unstructured data Data visualization (Power BI, Tableau, or Python libs) 5. Cloud & DevOps Basics Working knowledge of AWS/GCP/Azure (S3, Lambda, SageMaker or equivalent) Docker CI/CD understanding 6. Soft Skills Good documentation practices Able to explain ML models to non-tech stakeholders Cross-functional collaboration experience Job Types: Full-time, Permanent Schedule: Day shift Work Location: In person

What Will You Do: Define the Data sourcing strategy and works with partners to procure data. Supply to IP creation for Ericsson in AI/ML. Research studies and creative usage of new and/or existing data sources. Work with Data Architects to use existing data models and build new ones as needed. Work with new technologies and be the ambassador for them in MI Communities within Ericsson, nurturing the communities and mentoring junior data scientists. Engage with external ecosystem (academia, technology leaders, open source etc.) to develop the skills and technology portfolio for MI’s needs Present and be prominent in MI related forums and conferences, e.g., publishing patents, presenting papers, organizing sessions etc. To be successful in the role you must have: Total 8 - 14 yrs of experience with proven skills of implementing a variety of Machine Learning techniques. Solid programming skills (R/Python) with proficiency in at least one. Proven track record of leading AI/ML projects end-to-end with complete ownership. Experience in Generative AI, conversation Assistant systems. Proven skills in building AI/ML based solutions using frameworks such as Python, R, H2O, Keras, TensorFlow, Spark ML etc. Experience in implementing new algorithms and methodologies from leading open source initiatives and research papers. Hands-on experience in designing and building AI models using Deep Neural Networks for applicable scenarios. Able to build and deploy AI models into production with focus on scaling, monitoring and performance. Sound knowledge of building explainable models (XAI) and prescriptive analytics.

For 3–5 Years Experience – Mid-Level AI/ML Engineer / Data Scientist 1. Core Technical Skills Python (NumPy, Pandas, Scikit-learn, Matplotlib/Seaborn, beautifulsoup, selenium) SQL(MySQL/PostgreSQL), Mongo DB, NLP, Computer Vision, RAG, Vector DBs, LLMs, Agentic AI, Neural Network, RNN, CNN, LSTMs, web scraping. ML algorithms: regression, decision trees, random forests, XGBoost, SVM, KMeans, DBSCAN, etc. Model evaluation: cross-validation, precision/recall, ROC-AUC, confusion matrix 2. AI/ML Frameworks Scikit-learn, TensorFlow or PyTorch Keras Familiar with pre-trained models (e.g., BERT, ResNet, Stable Diffusion) and transfer learning 3. Practical Experience Building and deploying end-to-end ML pipelines Experience with REST APIs or Flask/FastAPI-based model deployment Version control with Git 4. Data Handling Data preprocessing, feature engineering Experience with structured, semi-structured data and unstructured data Data visualization (Power BI, Tableau, or Python libs) 5. Cloud & DevOps Basics Working knowledge of AWS/GCP/Azure (S3, Lambda, SageMaker or equivalent) Docker CI/CD understanding 6. Soft Skills Good documentation practices Able to explain ML models to non-tech stakeholders Cross-functional collaboration experience Job Types: Full-time, Permanent Pay: ₹450,000.00 - ₹650,000.00 per year Work Location: In person

Eightfold was founded with a vision to solve for employment in our society. For decades, the connection between individuals and opportunities has been based on who the individuals are and the strength of their network, vs. their potential. Eightfold leverages artificial intelligence to transform how to think about skills and capabilities for individuals as well as how jobs and career decisions are made. Eightfold offers the industry’s first AI-powered Talent Intelligence Platform to transform how organizations plan, hire, develop and retain a diverse workforce, enabling individuals to transform their careers. To date, Eightfold AI has received more than $410 million in funding and a valuation of over $2B from leading investors to further our mission of finding the right career for everyone in the world. If you are passionate about solving one of the most fundamental challenges of our society - employment, working on hard business problems, and being part of an amazing growth story - Eightfold is the place to be! You may want to refer to the media coverage on TechCrunch and Reuters. Eightfold.ai is led by Ashutosh Garg, a PhD in Machine Learning/IIT Delhi alumni who managed Search and Personalization at Google, and Varun Kacholia-IIT Bombay alumni, who led the News Feed Ranking team at Facebook and developed YouTube Search at Google. Our customers Press About Eightfold.ai: Eightfold.ai is revolutionizing HR technology with AI. We are building the next generation of our AI-powered talent platform, aiming to match the right career for everyone in the world. Our AI-native enterprise talent intelligence platform leverages Gen AI, LLM, NLP and deep Learning algorithms, global talent insights, and matching engines to empower organizations and individuals alike. About the Team: The AI Agents team at Eightfold.ai is at the forefront of developing intelligent, autonomous systems that will redefine talent management. We are building cutting-edge agentic AI that can proactively assist users, automate complex workflows, and provide personalized insights. Our work directly impacts millions of users and shapes the future of how people connect with opportunities. What You’ll Work On: As an ML engineer on the AI Agents Team, you’ll: Collaborate with senior engineers to build intelligent AI agents that help users take action via natural conversations. Help design and implement core systems using Python, LLMs, and GenAI tools. Assist in experimenting with chat-like workflows and conversational interfaces. Participate in code reviews, brainstorming sessions, and team planning meetings. Learn how to scale your code for real-world applications used by global customers. Explore how to combine data, AI models, and user signals to build smart, helpful agent experiences. What We’re Looking For: We know you're early in your career—we care more about your curiosity and potential than years of experience. If you’re excited about AI and love building things, you’ll fit right in. Basic Qualifications: Bachelor’s or Master’s degree in Computer Science, AI, Data Science, or related fields (2024/2025 graduates welcome). Strong foundation in data structures, algorithms, and programming (Python preferred). Interest or coursework in AI/ML, GenAI, NLP, or agent-based systems. Eagerness to learn new tools like PyTorch, TensorFlow, or LangChain. Ability to work collaboratively in a fast-paced environment. Bonus Points (Nice to Have): Internship, research, or project experience in AI, LLMs, or chatbots. Familiarity with cloud platforms like AWS or GCP. Side projects or GitHub repos that showcase your coding or ML work. Hybrid Work @ Eightfold: We embrace a hybrid work model that aims to boost collaboration, enhance our culture, and drive innovation through a blend of remote and in-person work. We are committed to creating a dynamic and flexible work environment that nurtures the collaborative spirit of our team. Starting May 1st, 2025, employees residing near Santa Clara, California, or our Bangalore and Noida offices in India will return to the office three times a week. Eightfold.ai provides equal employment opportunities (EEO) to all employees and applicants for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, age, veteran or disability status.  Experience our comprehensive benefits with family medical, vision, and dental coverage, a competitive base salary, and eligibility for equity awards and discretionary bonuses or commissions.

Bay6.ai is an innovative company at the forefront of AI technology, delivering cutting-edge solutions that help businesses leverage the power of artificial intelligence. Bay6.ai is seeking an experienced and dynamic Senior/Lead Data Scientist to join our growing team. This individual will be responsible for the design and development of AI/ML predictive models that augment our decision support systems using customers' historical data sets. As a Senior Data Scientist, you will work closely with cross-functional teams to ensure that our AI driven solutions provide actionable insights and value to our clients. Job Responsibilities 1. Lead and architect the design and development of AI/ML predictive models that significantly enhance decision-making processes for clients, leveraging their own historical data sets and industry insights. 2. Engage with senior executives and key stakeholders to fully understand their business needs, strategic objectives, and data requirements, ensuring the AI/ML models are precisely tailored to deliver maximum business value. 3. Oversee the implementation, testing, and validation of machine learning algorithms, ensuring that the models are not only accurate but also scalable, reliable, and robust for enterprise level production environments. 4. Collaborate cross-functionally with product managers, engineers, and data scientists to integrate AI/ML models into product ecosystem, optimizing performance and efficiency across multiple teams. 5. Provide expert analysis and interpretation of complex data sets from various sources, delivering actionable insights that inform business decisions and improve the accuracy and predictive power of models. 6. Stay ahead of emerging AI/ML trends and innovations, actively incorporating cutting-edge research, techniques, and best practices into the modeling and development processes. 7. Drive the technical vision and strategic direction for AI/ML initiatives, mentoring and guiding less experienced team members while also establishing best practices and a culture of continuous improvement. 8. Partner with business analysts, frontend, mid-tier, and backend developers to ensure the development, deployment, and performance of production applications that effectively utilize AI/ML models to deliver real-world impact. 9. Take ownership of solving complex, ambiguous problems with minimal supervision, applying advanced theoretical knowledge to conceptualize, simulate, and implement AI/ML solutions. 10. Define and manage data requirements and data quality assessments, orchestrating the extraction, transformation, and integration of data for analytical and modeling projects. Required Experience: 10+ years of experience in developing and deploying AI/ML predictive models in production environments, with a strong portfolio of successful enterprise-scale projects and solutions. ✓ Expertise in machine learning techniques, including but not limited to regression, classification, clustering, time series analysis, and deep learning. ✓ Advanced proficiency in programming languages such as Python, R, or similar, and mastery of machine learning libraries (e.g., TensorFlow, scikit-learn, PyTorch). ✓ Extensive experience with data wrangling, feature engineering, and working with large, complex, high volume datasets. ✓ Proven track record in model validation and testing, ensuring models are robust, reliable, and scalable across different use cases and environments. ✓ Deep understanding of the P&C Insurance domain, with specific experience in areas like claims prediction, risk modeling, pricing optimization, and customer segmentation. ✓ Strong ability to communicate complex technical concepts to senior, non-technical stakeholders, influencing decision-making at the highest levels. ✓ Significant hands-on experience working with both structured and unstructured data at scale, with expertise in cloud platforms, distributed computing, and big data technologies. ✓ 10+ years of experience in predictive model development, data mining

We are Ginteja Insurance Brokers Private Limited (Promoted by Two Big companies - Shyam Steel and Sastasundar). We are looking for a seasoned Senior Technology / Team Lead who combines strong technical expertise across frontend and backend stacks. The ideal candidate will have a deep understanding of modern client-side frameworks (React, React Native, Flutter), robust server-side technologies (Node.js, PHP, Java), and a solid grasp of cloud-native architectures. As a key technology member, you will help design, and guide hands-on the development of scalable, secure, and high-performance digital solutions, working closely with cross-functional teams and stakeholders to ensure successful product / project outcomes. You will be responsible for technical leadership and Agile delivery across complex, enterprise-grade digital products. Key Responsibilities: Technical Leadership Architect, design, and lead the development of full-stack applications using modern client and server-side technologies. Provide hands-on technical direction and resolve architectural, design, and implementation challenges. Lead code reviews, define coding standards, and drive engineering excellence across teams e.g. test-driven software development Team & Task Management Manage & monitor assigned high-level tasks using Agile tools like Jira etc. Ensure proper Agile practices (Scrum, Kanban) are followed throughout the project lifecycle. Proactive and on-time reporting of work status per communication schedule Cloud-Native & DevOps development Design and manage cloud-native application delivery using platforms like AWS (pref) Drive DevOps initiatives: containerization (Docker), orchestration (Kubernetes), automation (CI/CD), and monitoring. Ensure infrastructure is scalable, secure, and cost-effective. Mentoring & Team Development Mentor junior engineers and project team members to enhance their technical and professional growth. Strong collaborative mindset to foster high-performance team culture Primary Skills (Required): Frontend / Mobile (Client-Side) Proficiency in market leading client-side scripting framework - Angular and/or React , React Native , and/or Flutter Strong skills in JavaScript , TypeScript , Dart , HTML/CSS, Redux/MobX, responsive and accessible UI/UX design – and application in multiple products/projects Experience in mobile app publishing (App Store, Play Store) and mobile CI/CD tools (preferred) Backend (Server-Side) Expertise in PHP (Laravel/Symfony) , Java (Spring Boot/Jakarta EE), Node.js , Python Demonstrated advance experience of REST APIs, Microservices, and serverless computing – in multiple products / projects execution Proficient in RDBMS (MySQL, SQL Server) and NoSQL (MongoDB, DynamoDB) Cloud & DevSecOps Proficiency in Container and orchestration technologies (Docker, Kubernetes etc.), CI/CD pipelines (Jenkins, AWS DevOps) Experience in secure cloud native development through integration of tools integration like Sonar & deploying applications on AWS . Understanding of monitoring/logging tools (Grafana, CloudWatch) Team & Task Management Hands-on exposure in Agile delivery methodology ( Scrum, Kanban , or hybrid Agile models) and tools like JIRA (Pref) Exposure in design, development, and deployment of AI and RPA-driven automation solutions. Security & Testing Experience in solution design and guide implementation following web OWASP guidelines and mitigating risks through Hands-on experience in implementation of any Unit Testing framework. Secondary Skills (Preferred): AI & RPA Solutions · Preferred hands-on experience in implementation and integration of of AI/ML technologies and frameworks (e.g., Python, TensorFlow, Amazon AI Stack) & RPA tools into application workflows · Desired experience in implementation with Natural Language Processing model (NLP), OCR, and conversational AI (e.g., chatbots) in enterprise applications. Performance Optimization · Exposure in system performance optimization techniques across platform, application & database Basic exposure to Linux as development work environment. Qualifications: Bachelor’s degree in Computer Science, Information Technology, or a related field (or equivalent practical experience). 10-14 years of extensive professional experience in end-to-end web development. Strong portfolio showcasing web applications developed, with links to live projects or GitHub. Excellent problem-solving, debugging, and analytical skills. Strong communication and collaboration skills to work effectively in a team environment. A guide and mentor junior developers to achieve the target development state. Ability to write clean, maintainable, and well-documented code. Job Type: Full-time Pay: ₹1,200,000.00 - ₹1,600,000.00 per year Benefits: Health insurance Leave encashment Paid sick time Paid time off Provident Fund Experience: Angular: 4 years (Required) Flutter: 4 years (Required) Team management: 4 years (Required) AWS: 4 years (Required) IT project management: 4 years (Required) Work Location: In person

Company Description Reverence Technologies follows a "People First" philosophy, delivering reliable, high-quality IT services at competitive costs while building long-term client partnerships. We specialize in IT consulting, application development, managed IT services, and staff augmentation. Our Global Delivery Model enables flexible engagement based on unique business needs, using proven methodologies and best practices to ensure successful outcomes. Clients choose us for our strong alliances with leading technology providers, proven success in cloud, data, and enterprise app development, and compliance with global standards such as HIPAA, ISO27001, and GDPR. Role Description This is a full-time Onsite role for a Lead AI ML Developer. We are seeking a highly motivated AI/ML Team Lead to lead our team of machine learning and computer vision engineers for video analytics project. The ideal candidate will have a strong background in developing and deploying machine learning models, and a proven track record of leading teams to deliver successful AI/ML projects for video analytics. Role: Lead AI ML Developer Experience: 10+ years Location: Noida & Kochi Mode: Onsite Responsibilities: Lead a team of machine learning and computer vision engineers to deliver high-quality AI/ML solutions for video analytics. Collaborate with cross-functional teams to understand business requirements and identify opportunities for AI/ML solutions. Develop and maintain project plans, and timelines. Ensure that all AI/ML solutions are scalable, maintainable, and aligned with best practices Stay up to date with the latest AI/ML research and technologies and evaluate their potential impact on our business. Manage team performance, provide mentorship and career development opportunities, and foster a positive team culture. Qualifications 6+ years of experience in developing and deploying machine learning models 3+ years of experience in leading a team of machine learning engineers. Strong programming skills in C++ and another relevant programming language.  Experience with machine learning libraries and SDK such as OpenCV, OpenVino, TensorRT, TensorFlow, PyTorch, NVIDIA Deepstream SDK, etc. Experience with cloud platforms such as AWS, GCP, or Azure. Excellent communication and interpersonal skills, with the ability to work collaboratively with cross-functional teams

Weavers Web is looking for a talented Python developer with strong expertise in Artificial Intelligence and Machine Learning, coupled with backend development skills . The ideal candidate will design, develop, and deploy scalable AI/ML models and integrate them into web applications and backend systems. Key Responsibilities: Develop and deploy machine learning models and AI algorithms using Python frameworks (e.g., TensorFlow, PyTorch, scikit-learn). Collaborate with frontend developers to integrate ML models into web applications. Optimize and scale backend systems for performance and reliability. Design and implement data pipelines for training and inference. Write clean, maintainable, and efficient code following best practices. Participate in code reviews, testing, and debugging. Stay updated on the latest AI/ML and backend development trends and tools. Required Skills & Qualifications: Strong proficiency in Python programming. Hands-on experience with AI/ML frameworks and libraries (TensorFlow, PyTorch, scikit-learn, etc.). Familiarity with frontend technologies (React, Angular, Vue.js) is a plus. Experience working with databases (SQL and NoSQL). Good understanding of software development lifecycle, version control (Git), and CI/CD pipelines. Ability to work independently and in a team environment. Strong problem-solving and communication skills. Job Types: Full-time, Permanent Pay: ₹30,000.00 - ₹65,000.00 per month Benefits: Health insurance Provident Fund Schedule: Day shift Fixed shift Monday to Friday Supplemental Pay: Performance bonus Work Location: In person

About the Role: We are looking for a skilled and passionate Python Developer with hands-on experience in AI/ML project development to join our growing technology team in Jaipur . You will be working on real-world AI solutions, contributing to end-to-end model development, and integrating intelligent systems into production-level applications. Key Responsibilities: Develop and maintain high-quality, scalable Python code Design, train, and deploy AI/ML models to solve business challenges Work with data scientists to implement algorithms and integrate ML models Optimize model performance and manage deployment pipelines Collaborate with cross-functional teams (Product, Design, DevOps) Ensure clean architecture, proper documentation, and version control Keep up-to-date with the latest developments in AI/ML and Python ecosystem Key Requirements: 3+ years of professional Python development experience Proven experience in AI/ML model development (scikit-learn, TensorFlow, PyTorch, etc.) Strong understanding of data structures, algorithms, and model evaluation techniques Experience with REST APIs, version control (Git), and cloud environments (preferably AWS) Familiarity with data preprocessing, feature engineering, and model lifecycle Solid problem-solving skills and a detail-oriented mindset Nice to Have: Exposure to MLOps practices Experience in Flask or FastAPI Knowledge of Docker/Kubernetes Why Join Us? Work on impactful AI projects that solve real business problems Opportunity to grow in a tech-first and collaborative environment Competitive salary and performance-driven culture A vibrant, on-site work culture in Jaipur Ready to build smart solutions with us? Job Type: Full-time Pay: ₹11,318.49 - ₹72,937.99 per month Experience: Python: 3 years (Required) Location: Jaipur, Rajasthan (Required) Work Location: In person

Preferable for Visakhapatnam/Vizag candidates 2-4 years of hands-on AI/ML/DL experience Dynamic, GO Getter, Idiotic Thinking & Realisation, Tech Savvy, Passionate is what we are looking from this person and need to have regular updates along with latest developments in AI/ML Space. You will be the SPOC for all the valuable data extraction from given data, processes from data collection, cleaning, pre-processing, to training models and deploying them to production. Understanding business objectives and developing models that help to achieve them, along with metrics to track their progress Managing available resources such as hardware, data, personnel so that deadlines are met Analyzing the ML algorithms that could be used to solve a given problem and ranking them by their success probability Exploring and visualizing data to gain an understanding of it, then identifying differences in data distribution that could affect performance when deploying the model in the real world Verifying data quality, and/or ensuring it via data cleaning Supervising the data acquisition process if more data is needed Finding available datasets online that could be used for training Defining validation strategies Defining the pre-processing or feature engineering to be done on a given dataset Defining data augmentation pipelines Training models and tuning their hyperparameters Analyzing the errors of the model and designing strategies to overcome them Deploying models to production Technical Stack AI, ML, Python Deep learning framework such as TensorFlow or Keras Python and basic libraries for machine learning such as scikit-learn and pandas Visualizing and manipulating big datasets Select hardware to run an ML model with the required latency What You Need Basic coding & programming Cloud Technologies – AWS or Azure or Salesforce Artificial Intelligence Machine Learning Deep Learning Python Job Type: Full-time Pay: ₹54,000.00 - ₹240,000.00 per year Schedule: Morning shift Supplemental Pay: Performance bonus Ability to commute/relocate: Vishakhapatnam, Visakhapatnam - 530003, Andhra Pradesh: Reliably commute or planning to relocate before starting work (Required) Experience: real time: 2 years (Preferred) Artificial Intelligence: 2 years (Preferred) Expected Start Date: 30/07/2025

Who We Are At Twilio, we’re shaping the future of communications, all from the comfort of our homes. We deliver innovative solutions to hundreds of thousands of businesses and empower millions of developers worldwide to craft personalized customer experiences. Our dedication to remote-first work, and strong culture of connection and global inclusion means that no matter your location, you’re part of a vibrant team with diverse experiences making a global impact each day. As we continue to revolutionize how the world interacts, we’re acquiring new skills and experiences that make work feel truly rewarding. Your career at Twilio is in your hands. See yourself at Twilio Join the team as our next Senior Machine Learning Engineer (L3) in our Comms Platform Engineering team About The Job This position is needed to scope, design, and deploy machine learning systems into the real world, the individual will closely partner with Product & Engineering teams to execute the roadmap for Twilio’s AI/ML products and services. Twilio is looking for a Senior Machine Learning engineer to join the rapidly growing Comms Platform Engineering team of our Messaging business unit. You will understand the needs of our customers and build data products that solve their needs at a global scale. Working side by side with other engineering teams and product counterparts, you will own end-to-end execution of ML solutions. To thrive in this role, you must have a background in ML engineering, and a track record of solving data & machine-learning problems at scale. You are a self-starter, embody a growth attitude, and collaborate effectively across the entire Twilio organization Responsibilities In this role, you’ll: Build and maintain scalable machine learning solutions in production Train and validate both deep learning-based and statistical-based models considering use-case, complexity, performance, and robustness Demonstrate end-to-end understanding of applications and develop a deep understanding of the “why” behind our models & systems Partner with product managers, tech leads, and stakeholders to analyze business problems, clarify requirements and define the scope of the systems needed Work closely with data platform teams to build robust scalable batch and realtime data pipelines Work closely with software engineers, build tools to enhance productivity and to ship and maintain ML models Drive engineering best practices around code reviews, automated testing and monitoring Qualifications Not all applicants will have skills that match a job description exactly. Twilio values diverse experiences in other industries, and we encourage everyone who meets the required qualifications to apply. While having “desired” qualifications make for a strong candidate, we encourage applicants with alternative experiences to also apply. If your career is just starting or hasn't followed a traditional path, don't let that stop you from considering Twilio. We are always looking for people who will bring something new to the table! Required 5+ years of applied ML experience. Proficiency in Python is preferred. We will also consider strong quantitative candidates with a background in other programming languages Strong background in the foundations of machine learning and building blocks of modern deep learning Track record of building, shipping and maintaining machine learning models in production in an ambiguous and fast paced environment. You have a clear understanding of frameworks like - PyTorch, TensorFlow, or Keras, why and how these frameworks do what they do Familiarity with ML Ops concepts related to testing and maintaining models in production such as testing, retraining, and monitoring. Demonstrated ability to ramp up, understand, and operate effectively in new application / business domains. You’ve explored some of the modern data storage, messaging, and processing tools (Kafka, Apache Spark, Hadoop, Presto, DynamoDB etc.) Experience working in an agile team environment with changing priorities Experience of working on AWS Desired Experience with Large Language Models Location This role will be remote, and based in India (only in Karnataka, TamilNadu, Maharashtra, Telangana and New Delhi). Travel We prioritize connection and opportunities to build relationships with our customers and each other. For this role, you may be required to travel occasionally to participate in project or team in-person meetings. What We Offer Working at Twilio offers many benefits, including competitive pay, generous time off, ample parental and wellness leave, healthcare, a retirement savings program, and much more. Offerings vary by location. Twilio thinks big. Do you? We like to solve problems, take initiative, pitch in when needed, and are always up for trying new things. That's why we seek out colleagues who embody our values — something we call Twilio Magic. Additionally, we empower employees to build positive change in their communities by supporting their volunteering and donation efforts. So, if you're ready to unleash your full potential, do your best work, and be the best version of yourself, apply now! If this role isn't what you're looking for, please consider other open positions. Twilio is proud to be an equal opportunity employer. We do not discriminate based upon race, religion, color, national origin, sex (including pregnancy, childbirth, reproductive health decisions, or related medical conditions), sexual orientation, gender identity, gender expression, age, status as a protected veteran, status as an individual with a disability, genetic information, political views or activity, or other applicable legally protected characteristics. We also consider qualified applicants with criminal histories, consistent with applicable federal, state and local law. Qualified applicants with arrest or conviction records will be considered for employment in accordance with the Los Angeles County Fair Chance Ordinance for Employers and the California Fair Chance Act. Additionally, Twilio participates in the E-Verify program in certain locations, as required by law.

What is the AI/ML Engineer in FTT AI & Digital Transformation group responsible for? The AI/ML Engineer in the FTT AI & Digital Transformation group is responsible for researching and developing state-of-the-art generative AI tools and products. These tools aim to enhance the productivity and efficiency of our internal teams, specifically the sales, distribution, and operations teams. The role involves conducting extensive research and performing proof-of-concept work to validate the feasibility and effectiveness of AI models. The engineer will collaborate with cross-functional teams to integrate AI solutions seamlessly into existing workflows. Additionally, the AI/ML Engineer is expected to stay abreast of the latest advancements in AI and machine learning to ensure our solutions are cutting-edge and competitive. Research and Proof-of-Concept Work: The role includes a significant focus on research work to explore the potential of new AI technologies and methodologies. This involves experimenting with different algorithms and models to identify the most effective solutions for our needs. Proof-of-concept work is crucial to demonstrate the practicality and benefits of these AI solutions before full-scale implementation. What are the ongoing responsibilities of AI/ML Engineer? Developing AI-powered tools: Design, implement, and maintain generative AI systems to support the needs of internal teams. Ensure these tools are scalable, reliable, and efficient for daily use. Conducting research: Regularly explore and analyze new AI trends and technologies to incorporate the latest advancements into our products. This includes reading research papers, attending conferences, and participating in industry forums. Proof-of-concept (PoC) work: Create PoCs to evaluate the feasibility and performance of different AI models. Use these PoCs to demonstrate the potential benefits to stakeholders and guide decision-making. Collaborating with teams: Work closely with sales, distribution, and operations teams to understand their needs and challenges. Tailor AI solutions to address specific pain points and improve overall efficiency. Data preprocessing and analysis: Clean, preprocess, and analyze large datasets to extract meaningful insights. Use these insights to train and optimize AI models. Integration and deployment: Integrate AI models into existing systems and workflows. Ensure smooth deployment and monitor the performance of these models in a production environment. Documentation and reporting: Maintain comprehensive documentation of AI models, algorithms, and systems. Regularly report progress and results to stakeholders. Mentorship and knowledge sharing: Provide guidance and mentorship to junior team members. Share knowledge and best practices to foster a collaborative and innovative work environment. What ideal qualifications, skills & experience would help someone to be successful? Bachelors degree in computer science, Data Science, Machine Learning, or a related field. A masters or Ph.D. is preferred. Strong understanding of machine learning algorithms, deep learning frameworks, and statistical analysis. Proficiency in programming languages such as Python, R, or Java. Work Experience: 2-4 years of experience in AI/ML engineering or a related field. Proven track record of developing and deploying AI solutions in a production environment. Experience with data preprocessing, model training, and optimization techniques. Familiarity with cloud platforms and tools for AI/ML development and deployment. Strong problem-solving skills and the ability to work in a fast-paced, collaborative environment. Job Level - Individual Contributor Work Shift Timing - 2:00 PM - 11:00 PM IST

What is the Director - Research Scientist AI & Optimization responsible for? The core mandate of this role is to bring innovative digital investment products and solutions to market, leveraging a patented and innovative digital WealthTech/FinTech product - Goals Optimization Engine (GOE) - built with several years of academic research in mathematical optimization, probability theory and AI techniques at its core. The mandate also extends to leveraging cutting edge AI, such as Generative AI, in addition to Reactive AI to create value within various business functions within Franklin Templeton such as Investment Solutions, Portfolio Management, Sales & Distribution, Marketing, and HR functions, among others, in a responsible and appropriate manner. The possibilities are limitless here and present a fantastic opportunity for a self-motivated and driven professional to make significant contributions to the organization and to themselves. What are the ongoing responsibilities of a Director - Research Scientist AI & Optimization? As a Principal Research Scientist - AI and Optimization, you will play a pivotal role in driving innovation, product research, and proof of concepts for our AI research and Goals Optimization Engine (GOE) product roadmap. You will be responsible for mentoring and guiding a team of highly motivated research scientists, creating intellectual property, and ensuring successful client deployments and product development. Key Responsibilities: Innovation, Product Research, Proof of Concepts, Pseudocode & Design (40%): Lead and contribute to the multi-year Goals Optimization Engine (GOE) product roadmap, conceptualizing fitment against various industry use cases, creating product variants, and designing new features and enhancements across multiple distribution lines and geographies Mentor and guide a team of research scientists to achieve common objectives Serve as the Subject Matter Expert (SME) for a specific domain within AI and/or Optimization, acting as the go-to person for all internal stakeholders Develop pseudocode and working prototypes in a Python environment, collaborating closely with Product Managers and Product Developers Create well-articulated design documents and presentations to explain research to internal and external stakeholders, including clients and partners located globally Lead industry research and evaluate partnerships with third-party vendors and specialized service providers where appropriate Maintain a thorough understanding of boundary conditions, regulatory environments, data challenges, technology integrations, algorithmic dependencies, and operational process nuances to ensure nothing slips through the cracks Stay up to date with the latest developments in the Investment Management industry, Financial Mathematics, Portfolio Construction, and Portfolio Management IP Creation, Paper Writing, and Thought Leadership (30%): Conceptualize and produce high-quality intellectual property for publication in top-tier academic and practitioner journals Peer-review the work of other research scientists and improve the outcome of their research output Create patent-worthy intellectual content, apply for patents, and win them Take responsibility for winning industry awards for exceptional product research and innovative work products Stay informed about the latest industry research and evaluate it objectively and in an unbiased manner Publish research works for conferences Client Deployment, Product Development, and Vendor Due Diligence (30%): Act as the SME in initial client deployment discussions, showcasing the rigor of research, explaining the product or solution concept, and engaging in discussions with similar individuals/teams from the client/partner side Contribute to product development by ensuring alignment with research and design Provide hands-on support where required to complete time-critical work successfully Engage with third-party vendors and potential integration partners to understand their capabilities, methodologies, and algorithms, and perform rigorous due diligence to make clear recommendations on Go/No-Go decisions What ideal qualifications, skills & experience would help someone to be successful? Education: Bachelor's and master's degree in STEM disciplines; a PhD in a relevant discipline (Optimization, Probability, Quant Finance, AI & ML, Computational Mathematics, Statistics, etc.) would be a + Relevant industry certifications Experience - Core Skills: 10+ years of applied R &D experience in research departments of reputed organizations post-Masters or PhD Track record of real innovation generating impact is essential Demonstrated ability to create intellectual content, publish papers, and obtain patents Ability to effectively bridge the gap between academia and practice, ensuring research is practical and implementable Structured thinking and exceptional mathematical skills Excellent team player with the ability to work with ambiguity and thrive in chaos Familiarity with ML/DL/DRL, NLP, especially Large Language Models, dynamic programming, and/or convex optimization Solid experience with AWS and/or Azure Familiar with Python, PySpark, SQL, Hadoop, C++ Experience - Other Soft Skills: Proven ability to take initiative and work under pressure in a changing, fast paced environment Exceptional decision-making skills, with the ability to prioritize across needs given limited resources Thrives in a startup-like environment: loves dealing with a fast pace and changing needs Ability to build relationships both inside and outside of the product organization Ability to narrate a story for a problem along with the capacity to dive into minute details Superlative communication and consensus-building skills Work Shift Timings - 2:00 PM - 11:00 PM IST

Company Description Company Description Brainwonders - India's Largest Career Counselling Company 450+ Education Institutes use the Brainwonders Services 80+ Corporate Connects Winner of many numerous national and regional awards in the field of counselling and career guidance Brainwonders is a leading edutech company and is looking to have a dynamic team to propel its growth ahead. The given below job description is for aspiring candidates with an eye towards Shaping tomorrows' future. Job Description Job Description Brainwonders is looking for an experienced and engaging Data Science & AI Trainer to deliver high-quality learning experiences both online and offline. This role involves teaching, mentoring students and professionals through live sessions, recorded videos, and in-person training. You’ll be responsible for designing and delivering modules in core Data Science and Artificial Intelligence topics, tailored for corporate learners, and upskilling programs. Key Responsibilities: Design and deliver comprehensive training sessions on topics such as Python for Data Science, Machine Learning, Deep Learning, and AI applications Conduct both online video-based classes Host live webinars, pre-record instructional videos, and confidently present on camera Deliver hands-on workshops using tools like Python, Pandas, NumPy, Scikit-learn, TensorFlow, and Keras Coordinate with curriculum, pedagogy, product, and technical teams for continuous improvement Continuously revise training materials to stay updated with industry trends Provide student feedback, assess progress, and support career-readiness (mock interviews, project reviews) Required Qualifications & Skills: Bachelor’s/Master’s degree in Computer Science, Data Science, AI, or related fields 2–5 years of experience in Data Science, AI, or technical training Proficient in Python, Scikit-learn, Pandas, NumPy, TensorFlow/Keras, and SQL Strong understanding of machine learning algorithms, deep learning concepts, and data wrangling Offline and On-camera confidence and prior experience in video-based instruction or webinars Excellent communication, presentation, and mentoring skills Experience with LMS platforms and e-learning content is a plus Pay Range 5 LPA - 15 LPA Office timings - 10 am to 7 pm Additional Information Office Timings Monday to Saturday - 10 am - 7 pm

About the Role: We're looking for a talented mid to senior-level Full stack Developer with strong experience in Java Spring boot and React to join our growing team. In this role, you'll be part of a new pod working on our debt collection platform, directly contributing to critical business operations while ensuring exceptional client satisfaction. We're seeking someone who is passionate about technology development and eager to integrate innovative solutions, including AI tools, into our platforms. Key Responsibilities: ● Design, develop, and maintain full-stack applications using Java Spring boot for backend and React for frontend ● Write clean, efficient, and well-documented code following best practices ● Collaborate with cross-functional teams to define, design, and ship new features ● Optimize applications for maximum performance and scalability ● Implement responsive design and ensure cross-browser compatibility ● Participate in code reviews and contribute to technical documentation ● Troubleshoot and debug applications to optimize performance ● Integrate AWS services into application architecture ● Explore and implement AI-driven solutions to enhance platform capabilities ● Stay current with emerging technologies and suggest innovative approaches Required Skills & Experience: ● 3+ years of experience with Java and Spring/Spring boot frameworks ● 2+ years of experience with React.js and modern frontend development ● Strong understanding of RESTful APIs and microservices architecture ● Proficiency with relational databases and SQL ● Experience with AWS cloud services ● Working knowledge of Python ● Excellent problem-solving skills and attention to detail ● Strong communication skills and ability to work in a team environment ● Genuine passion for technology and continuous learning ● Experience with or interest in implementing AI tools in software solutions Preferred Qualifications: ● Experience with fintech or financial services applications ● Knowledge of debt collection systems or related financial platforms ● Familiarity with CI/CD pipelines and DevOps practices ● Experience with agile development methodologies ● Demonstrated history of adopting new technologies and frameworks ● Experience with AI/ML libraries or tools such as TensorFlow, Py Torch, or integration of LLM APIs

About McDonald’s: One of the world’s largest employers with locations in more than 100 countries, McDonald’s Corporation has corporate opportunities in Hyderabad. Our global offices serve as dynamic innovation and operations hubs, designed to expand McDonald's global talent base and in-house expertise. Our new office in Hyderabad will bring together knowledge across business, technology, analytics, and AI, accelerating our ability to deliver impactful solutions for the business and our customers across the globe. Position Summary: Director, AI Lab The AI Lab Lead is responsible for driving the research, and assessment of the latest AI technologies to accelerate the organization's innovation and AI strategy. This role focuses on evaluating and fostering strategic partnerships with external stakeholders, recommending and prototyping new technology based upon business need, and working across the AI team to support deployment and adoption. As a senior technology leader, the AI Lab lead will manage a high-performing team of AI professionals Who we’re looking for: Responsibility: Strategic Vision: Define and execute a comprehensive AI ecosystem strategy & technology roadmap aligned with the company's overall business goals. Identify high-impact early AI use case ideas across various business functions and prioritize initiatives. Establish a roadmap for AI development, including research priorities and technology adoption. Team Leadership: Build and manage a high-performing team of AI experts, including AI engineers, machine learning engineers, and architects. Foster a culture of innovation and experimentation within the lab. Provide mentorship and career development opportunities for team members. Research and Development: Oversee the development of advanced AI models and algorithms, exploring new techniques and approaches. Conduct research to identify potential applications for AI across the organization. Lead proof-of-concept projects to validate the feasibility of AI solutions. Collaboration and Stakeholder Management: Partner with cross-functional teams across the organization to identify and implement AI solutions that address business needs. Communicate complex technical concepts to non-technical stakeholders, advocating for AI adoption. Build relationships with external partners, such as academic institutions and technology companies, to form a strong AI ecosystem community Ethical Considerations: Champion ethical AI practices, ensuring data privacy, fairness, and responsible development of AI models. Establish guidelines for data governance and model transparency. Skills & Experience Required: Bachelor's degree in data science, Computer Science, Business, or Analytics or a relevant field, Master’s or PhD preferred 15+ years in AI/ML or related fields, including hands-on experience in building and deploying AI solutions Proficiency in programming languages such as Python, R, or Java, and experience with AI/ML frameworks (e.g., TensorFlow, PyTorch). Proficiency in AI techniques like deep learning, reinforcement learning, generative AI, Agentic AI and Edge AI Experience with ML frameworks, Generative AI - LLM and other large-scale AI system design Start-up and entrepreneurship experience is considered a plus Ability to clearly communicate complex AI concepts to non-technical stakeholders Work location: Hyderabad, India Work pattern: Full time role. Work mode: Hybrid. Additional Information: McDonald’s is committed to providing qualified individuals with disabilities with reasonable accommodations to perform the essential functions of their jobs. McDonald’s provides equal employment opportunities to all employees and applicants for employment and prohibits discrimination and harassment of any type without regard to sex, sex stereotyping, pregnancy (including pregnancy, childbirth, and medical conditions related to pregnancy, childbirth, or breastfeeding), race, color, religion, ancestry or national origin, age, disability status, medical condition, marital status, sexual orientation, gender, gender identity, gender expression, transgender status, protected military or veteran status, citizenship status, genetic information, or any other characteristic protected by federal, state or local laws. This policy applies to all terms and conditions of employment, including recruiting, hiring, placement, promotion, termination, layoff, recall, transfer, leaves of absence, compensation and training. McDonald’s Capability Center India Private Limited (“McDonald’s in India”) is a proud equal opportunity employer and is committed to hiring a diverse workforce and sustaining an inclusive culture. At McDonald’s in India, employment decisions are based on merit, job requirements, and business needs, and all qualified candidates are considered for employment. McDonald’s in India does not discriminate based on race, religion, colour, age, gender, marital status, nationality, ethnic origin, sexual orientation, political affiliation, veteran status, disability status, medical history, parental status, genetic information, or any other basis protected under state or local laws. Nothing in this job posting or description should be construed as an offer or guarantee of employment.

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 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: 30th July 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! 🚀

What is the AI/ML Senior Engineer in FTT AI & Digital Transformation group responsible for? The AI/ML Engineer in the FTT AI & Digital Transformation group is responsible for researching and developing state-of-the-art generative AI tools and products. These tools aim to enhance the productivity and efficiency of our internal teams, specifically the sales, distribution, and operations teams. The role involves conducting extensive research and performing proof-of-concept work to validate the feasibility and effectiveness of AI models. The engineer will collaborate with cross-functional teams to integrate AI solutions seamlessly into existing workflows. Additionally, the AI/ML Engineer is expected to stay abreast of the latest advancements in AI and machine learning to ensure our solutions are cutting-edge and competitive. Research and Proof-of-Concept Work: The role includes a significant focus on research work to explore the potential of new AI technologies and methodologies. This involves experimenting with different algorithms and models to identify the most effective solutions for our needs. Proof-of-concept work is crucial to demonstrate the practicality and benefits of these AI solutions before full-scale implementation. What are the ongoing responsibilities of AI/ML Senior Engineer? Developing AI-powered tools: Design, implement, and maintain generative AI systems to support the needs of internal teams. Ensure these tools are scalable, reliable, and efficient for daily use. Conducting research: Regularly explore and analyze new AI trends and technologies to incorporate the latest advancements into our products. This includes reading research papers, attending conferences, and participating in industry forums. Proof-of-concept (PoC) work: Create PoCs to evaluate the feasibility and performance of different AI models. Use these PoCs to demonstrate the potential benefits to stakeholders and guide decision-making. Collaborating with teams: Work closely with sales, distribution, and operations teams to understand their needs and challenges. Tailor AI solutions to address specific pain points and improve overall efficiency. Data preprocessing and analysis: Clean, preprocess, and analyze large datasets to extract meaningful insights. Use these insights to train and optimize AI models. Integration and deployment: Integrate AI models into existing systems and workflows. Ensure smooth deployment and monitor the performance of these models in a production environment. Documentation and reporting: Maintain comprehensive documentation of AI models, algorithms, and systems. Regularly report progress and results to stakeholders. Mentorship and knowledge sharing: Provide guidance and mentorship to junior team members. Share knowledge and best practices to foster a collaborative and innovative work environment. What ideal qualifications, skills & experience would help someone to be successful? Bachelors degree in Computer Science, Data Science, Machine Learning, or a related field. A masters or Ph.D. is preferred. Strong understanding of machine learning algorithms, deep learning frameworks, and statistical analysis. Proficiency in programming languages such as Python, R, or Java. Work Experience: 2-8 years of experience in AI/ML engineering or a related field. Proven track record of developing and deploying AI solutions in a production environment. Experience with data preprocessing, model training, and optimization techniques. Familiarity with cloud platforms and tools for AI/ML development and deployment. Strong problem-solving skills and the ability to work in a fast-paced, collaborative environment. Job Level - Individual Contributor Work Shift Timings - 2:00 PM - 11:00 PM IST Experience our welcoming culture and reach your professional and personal potential!

About Biz2X Biz2X is the leading digital lending platform, enabling financial providers to power growth with a modern omni-channel experience, best-in-class risk management tools and a comprehensive yet flexible Servicing engine. The company partners with financial institutions to support their Digital Transformation efforts with Biz2X’s digital lending platform. Biz2X solutions not only reduces operational expenses, but accelerates lending growth by significantly improving client experience, reducing total turnaround time, and equipping the relationship managers with powerful monitoring insights and alerts Read Our Latest Press Release : Press Release - Biz 2X Job Overvi ew: We are seeking for a Senior Engineer – AI/ML to drive the development and deployment of sophisticated AI solutions in our fintech products. You will oversee MLOps pipelines and manage large language models (LLMs) to enhance our financial technology services. Key Responsibilities: AI/ML Development: Design and implement advanced ML models for applications including fraud detection, credit scoring, and algorithmic trading. MLOps: Develop and manage MLOps pipelines using tools such as MLflow, Kubeflow, and Airflow for CI/CD, model monitoring, and automation. LLMOps: Optimize and operationalize LLMs (e.g., GPT-4, BERT) for fintech applications like automated customer support and sentiment analysis. Collaboration: Work with product managers, data engineers, and business analysts to align technical solutions with business objectives. Qualifications: Experience: 4-6 years in AI, ML, MLOps, and LLMOps with a focus on fintech. Technical Skills: Expertise in TensorFlow, PyTorch, scikit-learn, and MLOps tools (MLflow, Kubeflow). Proficiency in large language models (LLMs) and cloud platforms (AWS, GCP, Azure). Strong programming skills in Python, Java, or Scala. Experience in building RAG pipelines, NLP, OCR and Pyspark Good to have: Production GenAI Experience in Fintech/Lending domain

Job Title: Python Developer Machine Learning & AI (2-3 Years Experience) Job Summary: We are seeking a skilled and motivated Python Developer with 2 to 3 years of experience in Machine Learning and Artificial Intelligence. The ideal candidate will have hands-on experience in developing, training, and deploying machine learning models, and should be proficient in Python and associated data science libraries. You will work with our data science and engineering teams to build intelligent solutions that solve real-world problems. Key Responsibilities: Develop and maintain machine learning models using Python. Work on AI-driven applications, including predictive modeling, natural language processing, and computer vision (based on project requirements). Collaborate with cross-functional teams to understand business requirements and translate them into ML solutions. Preprocess, clean, and transform data for training and evaluation. Perform model training, tuning, evaluation, and deployment using tools like scikit-learn, TensorFlow, or PyTorch. Write modular, efficient, and testable code. Document processes, models, and experiments clearly for team use and future reference. Stay updated with the latest trends and advancements in AI and machine learning. Required Skills: 2-3 years of hands-on experience with Python programming. Solid understanding of machine learning algorithms (supervised, unsupervised, and reinforcement learning). Experience with libraries such as scikit-learn , pandas , NumPy , Matplotlib , and Seaborn . Exposure to deep learning frameworks like TensorFlow , Keras , or PyTorch . Good understanding of data structures and algorithms. Experience with model evaluation techniques and performance metrics. Familiarity with Jupyter Notebooks, version control (Git), and cloud platforms (AWS, GCP, or Azure) is a plus. Strong analytical and problem-solving skills. Preferred Qualifications: Bachelors or Masters degree in Computer Science, Data Science, Mathematics, or related field. Experience with deploying ML models using Flask , FastAPI , or Docker . Knowledge of MLOps and model lifecycle management is an advantage. Understanding of NLP or Computer Vision is a plus.

We are hiring AL/ML Engineers with 5–8 years of experience in AI/ML, Agentic AI, Gen AI, TensorFlow, RAG pipelines, and LLM flows. Required Candidate profile Experienced AI/ML Engineer with expertise in Agentic AI, Gen AI, TensorFlow, RAG pipelines, and LLM workflows. Seeking challenging lead-level opportunities. Ready to join within 30 days.

AI Developer (Agentic AI Frameworks, Computer Vision & LLMs) Work Location - J P Nagar Bangalore Lead Time - Immediate Budget 15 LPA About the Role Were seeking an AI Developer who specializes in agentic AI frameworksLangChain, LangGraph, CrewAI, or equivalents—and who can take both vision and language models from prototype to production. You will lead the design of multi agent systems that coordinate perception (image classification & extraction), reasoning, and action, while owning the end to end deep learning life cycle (training, scaling, deployment, and monitoring). ScopeWhat You’ll Do Agentic AI Frameworks (Primary Focus) Architect and implement multi agent workflows using LangChain, LangGraph, CrewAI, or similar. Design role hierarchies, state graphs, and tool integrations that enable autonomous data processing, decision making, and orchestration. Benchmark and optimize agent performance (cost, latency, reliability). Image Classification & Extraction Build and fine tune CNN/ViT models for classification, detection, OCR, and structured data extraction. Create scalable data ingestion, labeling, and augmentation pipelines. LLM Fine Tuning & Retrieval Augmented Generation (RAG) Fine tune open weight LLMs with LoRA/QLoRA, PEFT; perform SFT, DPO, or RLHF as needed. Implement RAG pipelines using vector databases (FAISS, Weaviate, pgvector) and domain specific adapters. Deep Learning at Scale Develop reproducible training workflows in PyTorch/TensorFlow with experiment tracking (MLflow, W&B). Serve models via TorchServe/Triton/KServe on Kubernetes, SageMaker, or GCP Vertex AI. MLOps & Production Excellence Build robust APIs/micro services (FastAPI, gRPC). Establish CI/CD, monitoring (Prometheus, Grafana), and automated retraining triggers. Optimize inference on CPU/GPU/Edge with ONNX/TensorRT, quantization, and pruning. Collaboration & Mentorship Translate product requirements into scalable AI services. Mentor junior engineers, conduct code and experiment reviews, and evangelize best practices. Minimum Qualifications B.S./M.S. in Computer Science, Electrical Engineering, Applied Math, or related discipline. 5+ years building production ML/DL systems with strong Python & Git. Demonstrable expertise in at least one agentic AI framework (LangChain, LangGraph, CrewAI, or comparable). Proven delivery of computer vision models for image classification/extraction. Hands on experience fine tuning LLMs and deploying RAG solutions. Solid understanding of containerization (Docker) and cloud AI stacks (AWS/Azure). Knowledge of distributed training, GPU acceleration, and performance optimization. Please share the following details along with the most updated resume to geeta.negi@compunnel.com if you are interested in the opportunity: Total Experience Relevant experience Current CTC Expected CTC Notice Period (Last working day if you are serving the notice period) Current Location SKILL 1 RATING OUT OF 5 SKILL 2 RATING OUT OF 5 SKILL 3 RATING OUT OF 5 (Mention the skill)

We are seeking a cross-functional expert at the intersection of Product, Engineering, and Machine Learning to lead and build cutting-edge AI systems. This role combines the strategic vision of a Product Manager with the technical expertise of a Machine Learning Engineer and the innovation mindset of a Generative AI and LLM expert. You will help define, design, and deploy AI-powered features , train and fine-tune models (including LLMs), and architect intelligent AI agents that solve real-world problems at scale. 🎯 Key Responsibilities 🧩 Product Management: Define product vision, roadmap, and AI use cases aligned with business goals. Collaborate with cross-functional teams (engineering, research, design, business) to deliver AI-driven features. Translate ambiguous problem statements into clear, prioritized product requirements. ⚙️ AI/ML Engineering & Model Development Develop, fine-tune, and optimize ML models, including LLMs (GPT, Claude, Mistral, etc.). Build pipelines for data preprocessing, model training, evaluation, and deployment. Implement scalable ML solutions using frameworks like PyTorch , TensorFlow , Hugging Face , LangChain , etc. Contribute to R&D for cutting-edge models in GenAI (text, vision, code, multimodal). 🤖 AI Agents & LLM Tooling Design and implement autonomous or semi-autonomous AI Agents using tools like AutoGen , LangGraph , CrewAI , etc. Integrate external APIs, vector databases (e.g., Pinecone, Weaviate, ChromaDB), and retrieval-augmented generation (RAG). Continuously monitor, test, and improve LLM behavior, safety, and output quality. 📊 Data Science & Analytics Explore and analyze large datasets to generate insights and inform model development. Conduct A/B testing, model evaluation (e.g., F1, BLEU, perplexity), and error analysis. Work with structured, unstructured, and multimodal data (text, audio, image, etc.). 🧰 Preferred Tech Stack / Tools Languages: Python, SQL, optionally Rust or TypeScript Frameworks: PyTorch, Hugging Face Transformers, LangChain, Ray, FastAPI Platforms: AWS, Azure, GCP, Vertex AI, Sagemaker ML Ops: MLflow, Weights & Biases, DVC, Kubeflow Data: Pandas, NumPy, Spark, Airflow, Databricks Vector DBs: Pinecone, Weaviate, FAISS Model APIs: OpenAI, Anthropic, Google Gemini, Cohere, Mistral Tools: Git, Docker, Kubernetes, REST, GraphQL 🧑‍💼 Qualifications Bachelor’s, Master’s, or PhD in Computer Science, Data Science, Machine Learning, or a related field. 10+ years of experience in core ML, AI, or Data Science roles. Proven experience building and shipping AI/ML products. Deep understanding of LLM architectures, transformers, embeddings, prompt engineering, and evaluation. Strong product thinking and ability to work closely with both technical and non-technical stakeholders. Familiarity with GenAI safety, explainability, hallucination reduction, and prompt testing, computer vision 🌟 Bonus Skills Experience with autonomous agents and multi-agent orchestration. Open-source contributions to ML/AI projects. Prior Startup Or High-growth Tech Company Experience. Knowledge of reinforcement learning, diffusion models, or multimodal AI. Skills: text,claude,vision,hugging face transformers,sagemaker,hallucination reduction,langchain,genai safety,machine learning,data science & analytics,transformers,crewai,gcp,open-source contributions to ml/ai projects,startup,chromadb,graphql,pipelines,diffusion models,llm architectures,prompt engineering,gpt,weaviate,cohere,structured, unstructured, and multimodal data,docker,autogen,ai/ml products,model development,git,ai use,a/b testing,core ml,code,ai/ml engineering & model development,vertex ai,architect intelligent ai agents,tensorflow,bleu,ai-driven features,error analysis,roadmap,typescript,retrieval-augmented generation (rag),model training,multimodal ai,weights & biases,image,generative ai,hugging face,ray,f1,explore and analyze large datasets,spark,kubernetes,data science,product management,autonomous agents,mlflow,multimodal,ai,rest,google gemini,model evaluation,computer vision,mistral,vector databases,sql,engineering,airflow,output quality,pinecone,langgraph,reinforcement learning,pandas,llms,rust,ai-powered features,fastapi,multi-agent orchestration,embeddings,python,aws,ml models,kubeflow,pytorch,azure,dvc,openai,faiss,databricks,audio,ai engineering,numpy,anthropic,define product vision

Introduction: You will bring your experience in AI/ML, image processing, and data analysis with a focus on vision-based applications, for contribution to transformative technological advancements. At the software and instrumentation group of CITE, we provide a distinguished platform for professionals aspiring to lead innovation in next-generation Vision Systems. You will be part of a dynamic and multidisciplinary team of scientists and engineers engaged in the development of advanced solutions for material characterization, inspection, automation, and intelligent instrumentation. This role offers a unique opportunity to engage in continuous learning while contributing to impactful, cutting-edge research and development initiatives. Key Responsibilities: - Design and develop software solutions using advanced artificial intelligence and classical image processing techniques. - Integration of machine vision setup for vision-based inspection - Development of user-interface using Python/C++/HTML etc. to access the camera interface and to perform offline and online data analysis - Algorithm development using classical image processing and advance AI-based methodologies - preparing dashboard for experimentation data visualization using Excel/Power Bi/any SoTA tool. - Pipeline development for central data connectivity - Experience in application development - Preparing high quality technical document, software architecture document and version control - Optimized, Clear, leaner and efficient coding using Python/LabVIEW/MATLAB/C++ etc., using GPU based architecture - System integration and deployment at customer locations - Support in system configuration and product deployment - Sensor integration, calibration, fusion with central processor Required Skills, Qualifications and Experience: - B.Tech / M.Tech in Electrical/Electronics/Instrumentation/Computer Science Engineering/ any relevant stream from a reputed institution. - 2-5 years of hands-on project experience in AI/ML, image processing, and Python programming. - Strong foundation in image processing and machine vision using python/C++/MATLAB. - Expertise in developing deep learning models for vision-based applications using Torch/TensorFlow. - Familiarity with sensor integration, edge computing, embedded system, data pipeline management in cloud platform, database management, application & user interface development - Experience with hardware-software integration and communication protocols. - Excellent problem-solving skills and attention to detail. - Strong communication and documentation abilities. Highly desirable: experience in paper publication/patent filing/ publishing technical reports in the field of computer vision and real-time data analysis.