1965 Preprocessing Jobs - Page 14

As an AI intern at Atomo Innovation PVT Ltd, you will have the exciting opportunity to work with cutting-edge technologies and contribute to innovative projects that are shaping the future. We are looking for a passionate individual who is well-versed in Python, Data Structures, Data Science, Machine Learning, NLP, Neural Networks, AI, and Deep Learning. Selected Intern's Day-to-day Responsibilities Include Assist in the development and implementation of AI algorithms and models. Conduct research and analysis to improve existing AI systems. Collaborate with the team to brainstorm and problem-solve for AI solutions. Work on data preprocessing and cleaning for AI projects. Support the implementation of NLP techniques for text analysis. Participate in training and testing of neural networks for various tasks. Stay updated with the latest trends and advancements in AI technology. If you are a motivated individual with a passion for AI and a desire to gain valuable hands-on experience in the field, then this internship opportunity at Atomo Innovation PVT Ltd is perfect for you. Join us in pushing the boundaries of AI innovation and making a meaningful impact on the world. About Company: Atomo Innovation Pvt. Ltd., an Indian deep-tech company developing low-power, modular edge computing devices integrated with onboard Neural Processing Unit (NPU) and multi-protocol support including BLE, Zigbee, Wi-Fi, RF, IR, Thread, and Matter. Our innovation combines efficient hardware with a lightweight operating system, AtomicOS, optimized for secure, real-time decision-making and edge-level AI inference.

As an AI intern at Atomo Innovation PVT Ltd, you will have the exciting opportunity to work with cutting-edge technologies and contribute to innovative projects that are shaping the future. We are looking for a passionate individual who is well-versed in Python, Data Structures, Data Science, Machine Learning, NLP, Neural Networks, AI, and Deep Learning. Selected Intern's Day-to-day Responsibilities Include Assist in the development and implementation of AI algorithms and models. Conduct research and analysis to improve existing AI systems. Collaborate with the team to brainstorm and problem-solve for AI solutions. Work on data preprocessing and cleaning for AI projects. Support the implementation of NLP techniques for text analysis. Participate in training and testing of neural networks for various tasks. Stay updated with the latest trends and advancements in AI technology. If you are a motivated individual with a passion for AI and a desire to gain valuable hands-on experience in the field, then this internship opportunity at Atomo Innovation PVT Ltd is perfect for you. Join us in pushing the boundaries of AI innovation and making a meaningful impact on the world. About Company: Atomo Innovation Pvt. Ltd., an Indian deep-tech company developing low-power, modular edge computing devices integrated with onboard Neural Processing Unit (NPU) and multi-protocol support including BLE, Zigbee, Wi-Fi, RF, IR, Thread, and Matter. Our innovation combines efficient hardware with a lightweight operating system, AtomicOS, optimized for secure, real-time decision-making and edge-level AI inference.

Job Description: AI/ML Engineer - US Healthcare Claims Management Position : MLOps Engineer - US Healthcare Claims Management Location : Gurgaon, (Hybrid) Company : Neolytix Experience Required-3 To 5 Years Preference will be given to candidates holding a PHD in the relevant field. About the Role: We are seeking an experienced MLOps Engineer to build, deploy, and maintain AI/ML systems for our healthcare Revenue Cycle Management (RCM) platform. This role will focus on operationalizing machine learning models that analyze claims, prioritize denials, and optimize revenue recovery through automated resolution pathways. Key Tech Stack: Models & ML Components: Fine-tuned healthcare LLMs (GPT-4, Claude) for complex claim analysis Knowledge of Supervised/Unsupervised Models, Optimization & Simulation techniques Domain-specific SLMs for denial code classification and prediction Vector embedding models for similar claim identification NER models for extracting critical claim information Seq2seq models (automated appeal letter generation) Languages & Frameworks: Strong proficiency in Python with OOP principles - (4 years of experience) Experience developing APIs using Flask or Fast API frameworks – (2 years of experience) Integration knowledge with front-end applications – (1 year of experience) Expertise in version control systems (e.g., GitHub, GitLab, Azure DevOps) - (3 years of experience) Proficiency in databases, including SQL, NoSQL and vector databases – (2+ years of experience) Experience with Azure (2+ years of experience) Libraries: PyTorch/TensorFlow/Hugging Face Transformers Key Responsibilities: ML Pipeline Architecture: Design and implement end-to-end ML pipelines for claims processing, incorporating automated training, testing, and deployment workflows Model Deployment & Scaling: Deploy and orchestrate LLMs and SLMs in production using containerization (Docker/Kubernetes) and Azure cloud services Monitoring & Observability: Implement comprehensive monitoring systems to track model performance, drift detection, and operational health metrics CI/CD for ML Systems: Establish CI/CD pipelines specifically for ML model training, validation, and deployment Data Pipeline Engineering: Create robust data preprocessing pipelines for healthcare claims data, ensuring compliance with HIPAA standards Model Optimization: Tune and optimize models for both performance and cost- efficiency in production environments Infrastructure as Code: Implement IaC practices for reproducible ML environments and deployments Document technical solutions & create best practices for scalable AI-driven claims management Preferred Qualifications: Experience with healthcare data, particularly claims processing (EDI 837/835) Knowledge of RCM workflows & denial management processes Understanding of HIPAA compliance requirements Experience with feature stores & model registries Familiarity with healthcare-specific NLP applications What Sets You Apart: Experience operationalizing LLMs for domain-specific enterprise applications Background in healthcare technology or revenue cycle operations Track record of improving model performance metrics in production systems What We Offer: Competitive salary and benefits package Opportunity to contribute to innovative AI solutions in the healthcare industry Dynamic and collaborative work environment Opportunities for continuous learning and professional growth To Apply: Submit your resume and a cover letter detailing your relevant experience and interest in the role to shivanir@neolytix.com Powered by JazzHR BM2Iy0O5p7

Job Title: Data Scientist Location: Gurugram Experience: 5–10 years (flexible based on expertise) Employment Type: Full-Time About the Role: We are looking for a highly skilled and innovative Data Scientist with deep expertise in Machine Learning, AI, and Cloud Technologies to join our dynamic analytics team. The ideal candidate will have hands-on experience in NLP, LLMs, Computer Vision , and advanced statistical techniques, along with the ability to lead cross-functional teams and drive data-driven strategies in a fast-paced environment. Key Responsibilities: Develop and deploy end-to-end machine learning pipelines including data preprocessing, modeling, evaluation, and production deployment. Work on cutting-edge AI/ML applications such as LLM-finetuning, NLP, Computer Vision, Hybrid Recommendation Systems , and RAG/CAG techniques . Leverage platforms like AWS (SageMaker, EC2) and Databricks for scalable model development and deployment. Handle data at scale using Spark, Python, SQL , and integrate with NoSQL and Vector Databases (Neo4j, Cassandra) . Design interactive dashboards and visualizations using Tableau for actionable insights. Collaborate with cross-functional stakeholders to translate business problems into analytical solutions. Guide data curation efforts and ensure high-quality training datasets for supervised and unsupervised learning. Lead initiatives around AutoML, XGBoost, Topic Modeling (LDA/LSA), Doc2Vec , and Object Detection & Tracking . Drive agile practices including Sprint Planning, Resource Allocation, and Change Management . Communicate results and recommendations effectively to executive leadership and business teams. Mentor junior team members and foster a culture of continuous learning and innovation. Technical Skills Required: Programming: Python, SQL, Spark Machine Learning & AI: NLP, LLMs, Deep Learning, Computer Vision, Hybrid Recommenders Techniques: RAG, CAG, LLM-Finetuning, Statistical Modeling, AutoML, Doc2Vec Data Platforms: AWS (SageMaker, EC2), Databricks Databases: SQL, NoSQL, Neo4j, Cassandra, Vector DBs Visualization Tools: Tableau Certifications (Preferred): IBM Data Science Specialization Deep Learning Nanodegree (Udacity) SAFe® DevOps Practitioner Certified Agile Scrum Master Professional Competencies: Proven experience in team leadership, stakeholder management , and strategic planning . Strong cross-functional collaboration and ability to drive alignment across product, engineering, and analytics teams. Excellent problem-solving, communication, and decision-making skills. Ability to manage conflict resolution, negotiation , and performance optimization within teams.

Ciklum is looking for an Expert Data Scientist to join our team full-time in India. We are a custom product engineering company that supports both multinational organizations and scaling startups to solve their most complex business challenges. With a global team of over 4,000 highly skilled developers, consultants, analysts and product owners, we engineer technology that redefines industries and shapes the way people live. About the role: As an Expert Data Scientist, become a part of a cross-functional development team engineering experiences of tomorrow. Responsibilities: Development of prototype solutions, mathematical models, algorithms, machine learning techniques, and robust analytics to support analytic insights and visualization of complex data sets Work on exploratory data analysis so you can navigate a dataset and come out with broad conclusions based on initial appraisals Provide optimization recommendations that drive KPIs established by product, marketing, operations, PR teams, and others Interacts with engineering teams and ensures that solutions meet customer requirements in terms of functionality, performance, availability, scalability, and reliability Work directly with business analysts and data engineers to understand and support their use cases Work with stakeholders throughout the organization to identify opportunities for leveraging company data to drive business solutions Drive innovation by exploring new experimentation methods and statistical techniques that could sharpen or speed up our product decision-making processes Cross-train other team members on technologies being developed, while also continuously learning new technologies from other team members Contribute to the Unit activities and community building, participate in conferences, and provide excellence in exercise and best practices Support marketing & sales activities, customer meetings and digital services through direct support for sales opportunities & providing thought leadership & content creation for the service Requirements: We know that sometimes, you can’t tick every box. We would still love to hear from you if you think you’re a good fit! General technical requirements: BSc, MSc, or PhD in Mathematics, Statistics, Computer Science, Engineering, Operations Research, Econometrics, or related fields Strong knowledge of Probability Theory, Statistics, and a deep understanding of the Mathematics behind Machine Learning Proficiency with CRISP-ML(Q) or TDSP methodologies for addressing commercial problems through data science solutions Hands-on experience with various machine learning techniques, including but not limited to: Regression Classification Clustering Dimensionality reduction Proficiency in Python for developing machine learning models and conducting statistical analyses Strong understanding of data visualization tools and techniques (e.g., Python libraries such as Matplotlib, Seaborn, Plotly, etc.) and the ability to present data effectively Specific technical requirements: Proficiency in SQL for data processing, data manipulation, sampling, and reporting Experience working with imbalanced datasets and applying appropriate techniques Experience with time series data, including preprocessing, feature engineering, and forecasting Experience with outlier detection and anomaly detection Experience working with various data types: text, image, and video data Familiarity with AI/ML cloud implementations (AWS, Azure, GCP) and cloud-based AI/ML services (e.g., Amazon SageMaker, Azure ML) Domain experience: Experience with analyzing medical signals and images Expertise in building predictive models for patient outcomes, disease progression, readmissions, and population health risks Experience in extracting insights from clinical notes, medical literature, and patient-reported data using NLP and text mining techniques Familiarity with survival or time-to-event analysis Expertise in designing and analyzing data from clinical trials or research studies Experience in identifying causal relationships between treatments and outcomes, such as propensity score matching or instrumental variable techniques Understanding of healthcare regulations and standards like HIPAA, GDPR (for healthcare data), and FDA regulations for medical devices and AI in healthcare Expertise in handling sensitive healthcare data in a secure, compliant way, understanding the complexities of patient consent, de-identification, and data sharing Familiarity with decentralized data models such as federated learning to build models without transferring patient data across institutions Knowledge of interoperability standards such as HL7, SNOMED, FHIR, or DICOM Ability to work with clinicians, researchers, health administrators, and policy makers to understand problems and translate data into actionable healthcare insights Good to have skills: Experience with MLOps, including integration of machine learning pipelines into production environments, Docker, and containerization/orchestration (e.g., Kubernetes) Experience in deep learning development using TensorFlow or PyTorch libraries Experience with Large Language Models (LLMs) and Generative AI applications Advanced SQL proficiency, with experience in MS SQL Server or PostgreSQL Familiarity with platforms like Databricks and Snowflake for data engineering and analytics Experience working with Big Data technologies (e.g., Hadoop, Apache Spark) Familiarity with NoSQL databases (e.g., columnar or graph databases like Cassandra, Neo4j) Business-related requirements: Proven experience in developing data science solutions that drive measurable business impact, with a strong track record of end-to-end project execution Ability to effectively translate business problems into data science problems and create solutions from scratch using machine learning and statistical methods Excellent project management and time management skills, with the ability to manage complex, detailed work and effectively communicate progress and results to stakeholders at all levels Desirable: Research experience with peer-reviewed publications Recognized achievements in data science competitions, such as Kaggle Certifications in cloud-based machine learning services (AWS, Azure, GCP) What`s in it for you? Care: your mental and physical health is our priority. We ensure comprehensive company-paid medical insurance, as well as financial and legal consultation Tailored education path: boost your skills and knowledge with our regular internal events (meetups, conferences, workshops), Udemy licence, language courses and company-paid certifications Growth environment: share your experience and level up your expertise with a community of skilled professionals, locally and globally Flexibility: hybrid work mode at Chennai or Pune Opportunities: we value our specialists and always find the best options for them. Our Resourcing Team helps change a project if needed to help you grow, excel professionally and fulfil your potential Global impact: work on large-scale projects that redefine industries with international and fast-growing clients Welcoming environment: feel empowered with a friendly team, open-door policy, informal atmosphere within the company and regular team-building events About us: At Ciklum, we are always exploring innovations, empowering each other to achieve more, and engineering solutions that matter. With us, you’ll work with cutting-edge technologies, contribute to impactful projects, and be part of a One Team culture that values collaboration and progress. India is a strategic innovation hub for Ciklum, with growing teams in Chennai and Pune leading advancements in EdgeTech, AR/VR, IoT, and beyond. Join us to collaborate on game-changing solutions and take your career to the next level. Want to learn more about us? Follow us on Instagram , Facebook , LinkedIn . Explore, empower, engineer with Ciklum! Interested already? We would love to get to know you! Submit your application. We can’t wait to see you at Ciklum.

Experience - 8 + Years Location - Mumbai , Pune AI/Data Science Lang chain expert skilled in python for creating new chains or fixing existing ones, also leverage ML or Gen AI models for data extraction. Medium Programming Proficiency: Especially in Python (NumPy, Pandas, Scikit-learn), and optionally R or Java Data Lake (Microsoft SQL Server, Azure Cosmos, Azure Data Lake) Machine Learning Algorithms: Supervised, unsupervised, and ensemble methods (e.g., decision trees, SVMs, XGBoost) Cloud Computing Deep Learning: Understanding of neural networks, CNNs, RNNs using frameworks like TensorFlow or PyTorch Data Handling & Preprocessing: Cleaning, transforming, and visualizing large datasets Gen AI, Open AI, AI Search Version Control: Git/GitHub for collaboration and reproducibility Problem Solving & Critical Thinking: Ability to frame business problems as data science tasks

Aindriya is on the lookout for a passionate and skilled AI Engineer to join our innovative team. If you're excited about building intelligent systems that create real impact, we want to hear from you! Responsibilities Design, build, and optimize AI/ML models for real-world applications Collaborate with cross-functional teams to integrate models into production systems Expertise in Agentic AI and business automation Work on NLP, computer vision, or recommendation systems depending on project needs Improve performance and scalability of existing AI pipelines Keep up with the latest trends in AI, machine learning, and deep learning Requirements 2+ years of experience in AI/ML development Strong Python skills and experience with ML frameworks (TensorFlow, PyTorch, Scikit-learn, etc.) Solid understanding of algorithms, data preprocessing, and model evaluation Familiarity with cloud services like AWS, GCP, or Azure Bachelor's or Master’s degree in Computer Science, AI, Data Science, or related field Bonus Skills Experience in deploying ML models to production environments MLOps experience (Docker, CI/CD, model monitoring) Contributions to open-source AI projects or research How to Apply Send your CV and relevant work samples to hr@aindriya.co.in Subject Line: "AI Engineer Application – [Your Name]"

Location: [EJIPURA SIGNAL/ KORAMANGALA] Job Type: Programmer with AI Exposure About Us: At A to Z COMPUTERS , we are focused on developing innovative mobile applications that enhance user experiences and drive business growth. We are looking for a passionate and talented Flutter Android Developer with 1 year of experience to join our growing team. If you're excited about creating high-quality mobile applications and eager to contribute to an enthusiastic team, we want to hear from you! Job Summary: We are seeking a skilled and enthusiastic Programmer with exposure to Artificial Intelligence to join our development team. The ideal candidate will have a strong foundation in programming along with practical knowledge of AI/ML frameworks, tools, and concepts. You will be involved in designing, developing, and deploying intelligent systems and solutions that leverage AI to solve real-world problems. Key Responsibilities: Design, develop, and maintain software applications with AI integration. Build and optimize ML models and integrate them into existing systems. Collaborate with cross-functional teams (Data Scientists, Designers, Product Managers). Implement AI solutions in areas such as NLP, computer vision, recommendation systems, etc. Analyze performance and continuously improve system efficiency. Stay updated with emerging AI tools and technologies. Required Skills & Qualifications: Bachelor’s degree in Computer Science, Engineering, or related field. Strong programming skills in Python, JavaScript, Java, or C++ . Solid understanding of data structures, algorithms, and software design . Experience with AI/ML libraries and frameworks (e.g., TensorFlow, PyTorch, Scikit-learn, OpenCV ). Familiarity with REST APIs , databases (SQL/NoSQL), and cloud platforms (AWS, GCP, Azure). Exposure to concepts like neural networks, deep learning, supervised/unsupervised learning . Experience with data preprocessing, model training, evaluation, and deployment . Preferred Qualifications: Hands-on experience with AI agents . Knowledge of prompt engineering , chatbot development , or AI integration with web apps . Contributions to open-source AI projects or relevant GitHub portfolio. Familiarity with DevOps and MLOps practices. Job Types: Full-time, Part-time Pay: ₹15,000.00 - ₹25,000.00 per month Education: Bachelor's (Preferred) Experience: Android Development: 1 year (Preferred) total work: 1 year (Preferred) Work Location: In person

To Apply: Send your updated resume to hr@whitemastery.com with the subject line: Senior AI and ML Engineer – Application or contact (+91) 9176760030 Role Overview As a Senior AI & ML Engineer, you will be responsible for designing, developing, and deploying advanced machine learning models and AI systems. You will work alongside data scientists, backend engineers, and product teams to create robust AI-driven applications using Python , Golang , and various ML frameworks. Key Responsibilities Design and implement ML models and algorithms for real-world business problems. Build scalable backend services in Python and Golang to support AI functionalities. Deploy and optimize ML models into production environments. Lead architecture decisions and code reviews, ensuring performance and maintainability. Collaborate with cross-functional teams including data engineering, product, and DevOps. Stay current with the latest research and trends in AI/ML to propose innovative solutions. Mentor junior engineers and contribute to technical documentation and knowledge sharing. Key Skills & Qualifications Bachelor's or Master’s degree in Computer Science, Data Science, Artificial Intelligence, or a related field. 5+ years of experience in software engineering with at least 3 years focused on ML applications. Strong proficiency in Python and experience with ML libraries (TensorFlow, PyTorch, Scikit-learn, etc.). Good experience working with Golang for backend development or system-level programming. Solid understanding of ML lifecycle – data preprocessing, feature engineering, training, evaluation, and deployment. Experience with containerization tools (Docker, Kubernetes) and cloud platforms (AWS, GCP, Azure). Excellent problem-solving skills and ability to translate business needs into technical solutions. Strong communication and teamwork abilities. Nice to Have Experience with MLOps tools like MLflow, Kubeflow, or Vertex AI. Familiarity with RESTful APIs, microservices architecture, and event-driven systems. Background in NLP, computer vision, or time-series analysis. Job Type: Full-time Pay: ₹400,000.00 - ₹700,000.00 per year Benefits: Flexible schedule Paid time off Work from home Application Question(s): Do you have any notice period or can you join immediately? Experience: AI and ML: 3 years (Preferred) Location: Chennai, Tamil Nadu (Preferred) Work Location: In person

Trainer – Data Science / Artificial Intelligence & Machine Learning / Data Analytics We are seeking an experienced and passionate Trainer to deliver high-quality training sessions in Data Science , AI & ML , and Data Analytics . The ideal candidate should have strong technical expertise, excellent communication skills, and a passion for mentoring students and professionals to succeed in their careers. Job Description : Position : Technical Trainer | Corporate Trainer Tech Stack : MERN|MEAN|JAVA|PYTHON|DATASCIENCE |DATA ANALYTICS CYBER SECURITY | AI & ML Educational Qualifications : Bachelor's or Master's degree in Computer Science, IT, or a related field Experience : 0 to 3 Years No Of Openings : 3 Nos Job Location : Coimbatore / Gobichettipalayam Job Type : Full time (Work From Office Only) Salary : 12000 to 30000 Notice Period : Immediate / 15 Days Notice Period. Key Responsibilities: Design and deliver structured training sessions in: Python for Data Science Machine Learning & Deep Learning Artificial Intelligence concepts Data Analytics & Visualization (Excel, Power BI, Tableau) Statistics, NLP, and predictive modeling Develop training content, hands-on projects, assessments, and real-world case studies. Mentor and support students in understanding complex concepts and applying them practically. Conduct evaluations, provide constructive feedback, and track progress. Stay up-to-date with the latest trends, tools, and technologies in the domain. Support in curriculum design and content updating based on industry requirements. Conduct webinars, hackathons, or workshops as needed. Required Skills & Qualifications: Bachelor’s or Master’s degree in Computer Science, Data Science, Statistics, or a related field. Minimum 1–3 years of industry/training experience in Data Science / AI / ML / Analytics . Proficiency in tools and programming languages: Python , NumPy , Pandas , Scikit-learn , TensorFlow , or PyTorch SQL , Excel , Tableau/Power BI Cloud platforms (optional): AWS , GCP , Azure ML Strong theoretical and practical knowledge of: Machine Learning Algorithms Data Preprocessing & Feature Engineering Deep Learning (CNN, RNN, LSTM) Model Evaluation Metrics Excellent communication and presentation skills. Preferred Qualifications: Experience in classroom and online delivery modes. Certifications in Data Science / AI / ML (e.g., Google, IBM, Coursera, Microsoft). Prior experience working in industry projects or live client environments. Drop us a message or reach out at hr@n-school.com What’s App No: +91 9043494941 Job Types: Full-time, Part-time, Permanent, Fresher Pay: ₹12,000.00 - ₹30,000.00 per month Benefits: Cell phone reimbursement Schedule: Day shift Morning shift Work Location: In person Application Deadline: 20/08/2025

Job Description: About Us At Bank of America, we are guided by a common purpose to help make financial lives better through the power of every connection. Responsible Growth is how we run our company and how we deliver for our clients, teammates, communities and shareholders every day. One of the keys to driving Responsible Growth is being a great place to work for our teammates around the world. We’re devoted to being a diverse and inclusive workplace for everyone. We hire individuals with a broad range of backgrounds and experiences and invest heavily in our teammates and their families by offering competitive benefits to support their physical, emotional, and financial well-being. Bank of America believes both in the importance of working together and offering flexibility to our employees. We use a multi-faceted approach for flexibility, depending on the various roles in our organization. Working at Bank of America will give you a great career with opportunities to learn, grow and make an impact, along with the power to make a difference. Join us! Global Business Services Global Business Services delivers Technology and Operations capabilities to Lines of Business and Staff Support Functions of Bank of America through a centrally managed, globally integrated delivery model and globally resilient operations. Global Business Services is recognized for flawless execution, sound risk management, operational resiliency, operational excellence and innovation. In India, we are present in five locations and operate as BA Continuum India Private Limited (BACI), a non-banking subsidiary of Bank of America Corporation and the operating company for India operations of Global Business Services. Process Overview Global Business Services delivers control functions responsible for providing assurance over data and processes used to record risk, P/L, balance sheet and financial results in support of Global Markets, Corporate Treasury and Corporate Investments businesses. There are seven GMO core functions that are critical in ensuring business process control: New Business Development, Trade Capture Substantiation, P&L Validation, Risk/Position Validation, Balance Sheet Substantiation, Event Monitoring, and Front-Back Process Oversight. The QS or Quantitative Services Team is part of the GBS. The Data Science Group is involved in Development, testing and monitoring of Machine Learning Models. Job Description Associate would be involved in entire Machine Learning Development Lifecycle. Responsibilities Collaborate with stake holders and identify opportunities for leveraging huge amount of unstructured financial data. Analyze and model structured data using statistical methods and implement algorithms and software needed to perform analyses Undertake preprocessing of structured/unstructured data and analyze information to discover trends/patterns. Present information using data visualization techniques. Coordinate with different teams to implement the models and monitor outcomes. Build machine learning models to automate processes and reduce operational overhead. Perform continuous model monitoring and model support. Build processes and tools for analyzing model performance and data accuracy. Requirements Education : Degree in Applied Math, Statistics, Computer Science or any other quantitative field from premier institutes Experience : 2.5 to 4 years Certifications (If any) : NA Foundational Skills : Strong technical skills including experience using Python/R and SQL or any object-oriented languages Familiarity with various machine learning algorithms and modelling techniques e.g. Regression (Linear and logit), Classification (SVM, Naïve Bayes,etc.) Banking domain is preferred but not required. Strong analytical/math skills (e.g. statistics, algebra) Familiarity with pandas, numpy, scikit-learn & scipy Basics of Visualization tools & techniques – eg. maptlotlib Desired Skills : Problem-solving aptitude Excellent communication and presentation skills Total Experience not more than 5 years and 2 Years of relevant experience should be preferred Work Timings : 12:00-9:00PM Job Location : Hyderabad

Area(s) of responsibility Python Programming: Strong proficiency in CORE Python OOP for developing GenAI applications. Mandatory required Gen AI/ Crew AI Fine-Tuning Techniques: Hands-on experience with fine-tuning methods like PEFT, LoRA, and QLoRA. Open-Source Frameworks: Expertise in Hugging Face, LangChain, LlamaIndex, and other open-source libraries. Cloud Platforms: Familiarity with Azure, GCP, and AWS for deploying and managing GenAI models. Data Preprocessing: Skills in building and maintaining data preprocessing pipelines. API Integration: Experience with REST, SOAP, and other protocols for API integration. Model Evaluation: Knowledge of metrics and benchmarks for evaluating model performance. Document Intelligence: Proficiency in OCR and document intelligence using open-source and cloud tools. Front-End Tools: Basic knowledge of front-end tools like Streamlit, React, or JavaScript for UI integration. Version Control: Proficiency in Git and version control best practices.

Job ID: 39582 Position Summary A rewarding career at HID Global beckons you! We are looking for an AI/ML Engineer , who is responsible for designing, developing, and deploying advanced AI/ML solutions to solve complex business challenges. This role requires expertise in machine learning, deep learning, MLOps, and AI model optimization , with a focus on building scalable, high-performance AI systems. As an AI/ML Engineer , you will work closely with data engineers, software developers, and business stakeholders to integrate AI-driven insights into real-world applications. You will be responsible for model development, system architecture, cloud deployment, and ensuring responsible AI adoption . We are a leading company in the trusted source for innovative HID Global Human Resources products, solutions and services that help millions of customers around the globe create, manage and use secure identities. Roles & Responsibilities: Design, develop, and deploy robust & scalable AI/ML models in Production environments. Collaborate with business stakeholders to identify AI/ML opportunities and define measurable success metrics. Design and build Retrieval-Augmented Generation (RAG) pipelines integrating vector stores, semantic search, and document parsing for domain-specific knowledge retrieval. Integrate Multimodal Conversational AI platforms (MCP) including voice, vision, and text to deliver rich user interactions. Drive innovation through PoCs, benchmarking, and experiments with emerging models and architectures. Optimize models for performance, latency and scalability. Build data pipelines and workflows to support model training and evaluation. Conduct research & experimentation on the state-of-the-art techniques (DL, NLP, Time series, CV) Partner with MLOps and DevOps teams to implement best practices in model monitoring, version and re-training. Lead code reviews, architecture discussions and mentor junior & peer engineers. Architect and implement end-to-end AI/ML pipelines, ensuring scalability and efficiency. Deploy models in cloud-based (AWS, Azure, GCP) or on-premises environments using tools like Docker, Kubernetes, TensorFlow Serving, or ONNX Ensure data integrity, quality, and preprocessing best practices for AI/ML model development. Ensure compliance with AI ethics guidelines, data privacy laws (GDPR, CCPA), and corporate AI governance. Work closely with data engineers, software developers, and domain experts to integrate AI into existing systems. Conduct AI/ML training sessions for internal teams to improve AI literacy within the organization. Strong analytical and problem solving mindset. Technical Requirements: Strong expertise in AI/ML engineering and software development. Strong experience with RAG architecture, vector databases Proficiency in Python and hands-on experience in using ML frameworks (tensorflow, pytorch, scikit-learn, xgboost etc) Familiarity with MCPs like Google Dialogflow, Rasa, Amazon Lex, or custom-built agents using LLM orchestration. Cloud-based AI/ML experience (AWS Sagemaker, Azure ML, GCP Vertex AI, etc.). Solid understanding of AI/ML life cycle – Data preprocessing, feature engineering, model selection, training, validation and deployment. Experience in production grade ML systems (Model serving, APIs, Pipelines) Familiarity with Data engineering tools (SPARK, Kafka, Airflow etc) Strong knowledge of statistical modeling, NLP, CV, Recommendation systems, Anomaly detection and time series forecasting. Hands-on in Software engineering with knowledge of version control, testing & CI/CD Hands-on experience in deploying ML models in production using Docker, Kubernetes, TensorFlow Serving, ONNX, and MLflow. Experience in MLOps & CI/CD for ML pipelines, including monitoring, retraining, and model drift detection. Proficiency in scaling AI solutions in cloud environments (AWS, Azure & GCP). Experience in data preprocessing, feature engineering, and dimensionality reduction. Exposure to Data privacy, Compliance and Secure ML practices Education and/or Experience: Graduation or master’s in computer science or information technology or AI/ML/Data science 3+ years of hands-on experience in AI/ML development/deployment and optimization Experience in leading AI/ML teams and mentoring junior engineers.

Job Description We are looking for an experienced AI/ML cum Python Developer with 2+ years of hands-on work in machine learning, Python development, and API integration. The ideal candidate should also have experience building AI agents —smart systems that can plan tasks, make decisions, and work independently using tools like LangChain, AutoGPT, or similar frameworks. You’ll be part of a collaborative team, working on real-world AI projects and helping us build intelligent, scalable solutions. Key Responsibilities: Develop, train, and deploy machine learning models using frameworks such as TensorFlow, PyTorch, or Scikit-learn. Develop AI agents capable of decision-making and multi-step task execution Write efficient and maintainable Python code for data processing, automation, and backend services. Design and implement REST APIs or backend services for model integration. Handle preprocessing, cleaning, and transformation of large datasets. Evaluate model accuracy and performance, and make necessary optimizations. Collaborate with cross-functional teams including UI/UX, QA, and product managers. Stay updated with the latest trends and advancements in AI/ML. Key Performance Areas (KPAs): Development of AI/ML algorithms and backend services AI agent development and performance Model evaluation, testing, and optimization Seamless deployment and integration of models in production Technical documentation and project support Research and implementation of emerging AI technologies Key Performance Indicators (KPIs): Accuracy and efficiency of AI models delivered Clean, reusable, and well-documented Python code Timely delivery of assigned tasks and milestones Issue resolution and minimal bugs in production Contribution to innovation and internal R&D efforts Requirements: Bachelor’s or Master’s degree in Computer Science, IT, or related field Minimum 2 years of experience in Python and machine learning Hands-on with AI agent tools like LangChain, AutoGPT, OpenAI APIs, Pinecone, etc. Strong foundation in algorithms, data structures, and mathematics Experience with Flask, FastAPI, or Django for API development Good understanding of model evaluation and optimization techniques Familiarity with version control tools like Git Strong communication and team collaboration skills Company Perks 05 Days Working Familiar Environment Flexible Timings Global Clients & Amazing Projects Leave Encashment Health Insurance Employee Engagement Activities Picnic

To Apply: Send your updated resume to hr@whitemastery.com with the subject line: Senior AI and ML Engineer – Application or contact (+91) 9176760030 Role Overview As a Senior AI & ML Engineer, you will be responsible for designing, developing, and deploying advanced machine learning models and AI systems. You will work alongside data scientists, backend engineers, and product teams to create robust AI-driven applications using Python , Golang , and various ML frameworks. Key Responsibilities Design and implement ML models and algorithms for real-world business problems. Build scalable backend services in Python and Golang to support AI functionalities. Deploy and optimize ML models into production environments. Lead architecture decisions and code reviews, ensuring performance and maintainability. Collaborate with cross-functional teams including data engineering, product, and DevOps. Stay current with the latest research and trends in AI/ML to propose innovative solutions. Mentor junior engineers and contribute to technical documentation and knowledge sharing. Key Skills & Qualifications Bachelor's or Master’s degree in Computer Science, Data Science, Artificial Intelligence, or a related field. 5+ years of experience in software engineering with at least 3 years focused on ML applications. Strong proficiency in Python and experience with ML libraries (TensorFlow, PyTorch, Scikit-learn, etc.). Good experience working with Golang for backend development or system-level programming. Solid understanding of ML lifecycle – data preprocessing, feature engineering, training, evaluation, and deployment. Experience with containerization tools (Docker, Kubernetes) and cloud platforms (AWS, GCP, Azure). Excellent problem-solving skills and ability to translate business needs into technical solutions. Strong communication and teamwork abilities. Nice to Have Experience with MLOps tools like MLflow, Kubeflow, or Vertex AI. Familiarity with RESTful APIs, microservices architecture, and event-driven systems. Background in NLP, computer vision, or time-series analysis. Job Type: Full-time Pay: ₹400,000.00 - ₹700,000.00 per year Benefits: Flexible schedule Paid time off Work from home Application Question(s): Do you have any notice period or can you join immediately? Experience: AI and ML: 3 years (Preferred) Location: Chennai, Tamil Nadu (Preferred) Work Location: In person

Battery Data Scientist (Data meets degradation, and intelligence meets impact) Location : Bangalore (On-site) Experience : 2 to 5 years Education : Masters/PhD Degree in Data Science/Engineering Industry : EV / Batteries / Hardware Startups Reports To : Founder & Head of Product Type : Full-time About Fawkes Energy Fawkes Energy is building intelligent, software-driven platforms to bring safety, transparency, and performance optimization to the EV and battery ecosystem. We are a mission-driven team working toward a sustainable circular economy in mobility and energy storage. Role Overview At Fawkes Energy, we’re building the future of battery intelligence, repurposing, and lifecycle intelligence. Our tools are a window into the battery pack, and decode what really matters - performance, health, lifetime, and safety. Now, we’re looking for a Battery Data Scientist who loves wrestling with messy field data, modeling the intricacies of battery degradation, and building intelligence that actually makes a difference. What You'll Work On Own projects that involve modeling battery degradation, SoH and lifetime prediction using both traditional and ML-based approaches Develop, validate, and deploy battery degradation models using machine learning, deep learning, and physics-informed methods Work with both internal and external teams to design robust data ingestion and preprocessing pipelines for heterogeneous datasets, from structured lab test data to noisy field-collected logs Work with real-world battery pack field data and cell testing data from our labs Design and build data pipelines, experiment with ML/DL techniques, and validate models across chemistries and use-cases Collaborate with test engineers to drive new experiments and extract meaningful features from cycling, calendar, and abuse tests Guide junior data scientists as the team grows and evolve into a product leadership role Who You Are A PhD in data science, applied ML, electrochemistry, mechanical/electrical engineering or similar (fresh grads welcome!) OR a Master’s degree with 2–5 years of strong hands-on experience in battery or energy analytics Comfortable navigating both structured test datasets and unstructured real-world messiness Solid Python skills; comfort with tools like TensorFlow, PyTorch, Polars. Experience with PINNs is an advantage Experienced in building end-to-end ML workflows from data wrangling and feature engineering to training, validation, and deployment Curious about how batteries age, fail, and behave across chemistries, duty cycles, and environments Bonus: Prior exposure to battery modeling, cell cycling, EVs, BMS data, or time-series data diagnostics What It's Like in Fawkes Energy Fast-paced, impact-driven work environment where you’ll see your work deployed in real-world EV and battery contexts Small, multi-functional team working at the bleeding edge of clean-tech - hardware, software, and AI under one roof You’ll work alongside data analysts, embedded engineers, test engineers, product teams and the founders (who also code and create physics-based models!) You won’t just build dashboards, you’ll shape the core IP that powers diagnostics and decision-making in the battery world Why Join Us Work on a cutting-edge hardware product at the intersection of EV, battery analytics, and climate action Opportunity to lead development and define a new category in the circular economy for EVs Fast-track to a technical leadership role in a high-impact, mission-driven startup Collaborative and technical team environment with real ownership What You Will Get Competitive compensation + ESOPs, health insurance, conference budgets, access to EVs, batteries, and testbeds for experimentation Flexible hours - we are result-first and not hours-clocked A chance to work with batteries that don’t sit in simulations, but in vehicles, fleets, and energy systems The opportunity to build core IP at the intersection of hardware, AI, and battery science If this sounds like your kind of gig, email us at talent@fawkes.energy .

Location: Chennai, Tamil Nadu Salary Range: Description: Job Title: Senior AI Engineer Reports To: Data Architect About the Company: Ignitho Inc. is a leading AI and data engineering company with a global presence, including US, UK, India, and Costa Rica offices. Visit our website to Ignitho is a portfolio company of Nuivio Ventures Inc., a venture builder dedicated to developing Enterprise AI product companies across various domains, including AI, Data Engineering, and IoT. Job Summary: As a Senior AI Engineer, the candidate will lead the design, development, and deployment of cutting-edge machine learning and artificial intelligence solutions. The candidate will work closely with cross-functional teams to understand business needs and translate them into scalable AI-driven applications. Key Responsibilities: Design and implement machine learning models and AI agents/LLMs . Develop and optimize AI pipelines (LLM, RAG, fine-tuning) Collaborate with product, engineering, and data teams to define and implement AI-driven features. Evaluate model performance and iterate to improve accuracy and efficiency. Mentor junior engineers and contribute to team best practices. Stay up to date with state-of-the-art AI technologies and research. Required Qualifications: Bachelor’s or master’s in computer science, AI, or related field. 5+ years of experience in AI/ML development . Experience working with LLMs, Agentic AI, RAG, and model fine-tuning Strong programming skills in Python and familiarity with frameworks such as TensorFlow, PyTorch, and Scikit-learn. Experience with cloud platforms ( Azure preferred). Solid understanding of data preprocessing, model training, validation, and deployment.

Experience: 5+ Years Employment Type: Full-Time About the Role: We are looking for a highly skilled Data Scientist with a strong background in Machine Learning , Statistical Modeling , and hands-on experience working with Generative AI technologies. The ideal candidate will have deep technical expertise in agentic AI systems , RAG (Retrieval-Augmented Generation) architectures , and the ability to implement, fine-tune, and evaluate large language models such as OpenAI, LLaMA , or Cortex . This is a high-impact role where you'll be building intelligent, scalable, and context-aware AI solutions that solve real-world business problems. Key Responsibilities: Design and implement agentic AI systems that leverage memory, planning, and tool-use capabilities. Develop and deploy RAG-based architectures integrating internal data sources with LLMs to enable knowledge-grounded responses. Apply advanced statistical modeling and machine learning techniques to extract insights and predict outcomes from large datasets. Integrate and fine-tune Generative AI models like OpenAI (GPT), LLaMA, or Cortex for custom use cases. Build intelligent pipelines using Python for data preprocessing, model training, and evaluation. Collaborate cross-functionally with product, engineering, and business teams to drive AI/ML adoption. Ensure scalability, accuracy, and ethical usage of AI models in production environments. Required Skills and Qualifications: Bachelor’s or Master’s in Computer Science, Data Science, Statistics, or related field. 5+ years of experience in ML/AI engineering or data science roles. Strong experience with Python , NumPy, Pandas, Scikit-learn, and ML libraries like TensorFlow or PyTorch. Hands-on with Gen AI platforms such as OpenAI , LLaMA , Anthropic , or Cortex AI . Deep understanding of RAG pipelines , vector databases (e.g., FAISS, Pinecone, Weaviate), and embedding techniques. Experience working on agentic AI frameworks like LangChain, AutoGPT, or OpenAgents. Solid grounding in statistical analysis , A/B testing, and predictive modeling. Familiarity with prompt engineering, fine-tuning, and evaluation metrics for LLMs. Good understanding of data privacy, model bias, and responsible AI practices. Nice to Have: Experience with tools like LangChain , Haystack , or LLM orchestration frameworks . Exposure to cloud platforms (AWS, GCP, Azure) for deploying ML models. Experience working with MLOps pipelines for productionalizing AI solutions. At TulaPi (pronounced tuu-la-pie), we’re building more than just a company – we’re crafting a movement. A movement that’s redefining what’s possible with data, machine learning, and AI, all powered by Snowflake's industry-leading platform. Think of us as the brainy rebels of the data world, bold enough to dream big and skilled enough to make it happen. We’re not just here to follow trends – we’re here to set them. From solving the most complex data challenges to building next-gen ML/AI solutions, we’re going to chart new territory every day. This is where the best talent comes to push boundaries, flex creative muscles, and make a real impact. At Tula Pi, you won’t just be working with cutting-edge tools and technologies – you’ll be shaping the future of what they can do. Whether you’re an architect of the cloud, an engineer with a knack for unlocking AI’s potential, or a strategist ready to disrupt the status quo, we’re looking for trailblazers like you to join our journey. Why Join Us? Big Challenges, Bigger Impact: Work on transformative projects that push the limits of what’s possible in ML/AI. Smart is the Standard: Collaborate with some of the brightest minds in the industry. Global Vision, Local Vibes: Be part of a team that’s global in its ambition but intimate in its culture. ️ Tools of Tomorrow: Gain access to the most advanced data and AI platforms, including Snowflake, and make them dance to your tune. Your Playground: A startup environment where your ideas, creativity, and innovation won’t just be welcomed – they’ll be celebrated. Get the chance to work closely with CEO and CTO with exposure to strategic decision-making. Tulapi is more than a workplace; it’s a destination for those who want their work to matter, their ideas to fly, and their careers to soar. If you're ready to work hard, dream bigger, and redefine the future of ML/AI, welcome home. Website: Tulapi.ai LinkedIn: https://www.linkedin.com/company/tulapi-ai/ Data fortune Software Solution is a 12+ year old company Based out of Pune . Our Head Office is in Atlanta , Georgia , US . we are around 150+ We work with US clients . Enterprise Data Management:-> Data Engineer, Snowflake, Azure, Power Bi , Tableau, SQL Server, SQL Server DBA. Application side - > Python, Dot Net , Angular, Flutter, Node, React , PHP, Vue JS , Java script , Flutter, Automation testing , Selenium , Load testing , etc. Website: https://datafortune.com/ LinkedIn: https://www.linkedin.com/company/datafortune/posts/?feedView=all

The Company PayPal has been revolutionizing commerce globally for more than 25 years. Creating innovative experiences that make moving money, selling, and shopping simple, personalized, and secure, PayPal empowers consumers and businesses in approximately 200 markets to join and thrive in the global economy. We operate a global, two-sided network at scale that connects hundreds of millions of merchants and consumers. We help merchants and consumers connect, transact, and complete payments, whether they are online or in person. PayPal is more than a connection to third-party payment networks. We provide proprietary payment solutions accepted by merchants that enable the completion of payments on our platform on behalf of our customers. We offer our customers the flexibility to use their accounts to purchase and receive payments for goods and services, as well as the ability to transfer and withdraw funds. We enable consumers to exchange funds more safely with merchants using a variety of funding sources, which may include a bank account, a PayPal or Venmo account balance, PayPal and Venmo branded credit products, a credit card, a debit card, certain cryptocurrencies, or other stored value products such as gift cards, and eligible credit card rewards. Our PayPal, Venmo, and Xoom products also make it safer and simpler for friends and family to transfer funds to each other. We offer merchants an end-to-end payments solution that provides authorization and settlement capabilities, as well as instant access to funds and payouts. We also help merchants connect with their customers, process exchanges and returns, and manage risk. We enable consumers to engage in cross-border shopping and merchants to extend their global reach while reducing the complexity and friction involved in enabling cross-border trade. Our beliefs are the foundation for how we conduct business every day. We live each day guided by our core values of Inclusion, Innovation, Collaboration, and Wellness. Together, our values ensure that we work together as one global team with our customers at the center of everything we do – and they push us to ensure we take care of ourselves, each other, and our communities. Job Description Summary: Job Summary We are seeking a hands-on AI Engineer to help design and build the next generation of reusable AI capabilities — including LLM pipelines, multi-agent systems, and production- grade model infrastructure. This is a strategic individual contributor role sitting within our core foundational AI team, focused on developing modular, scalable, and transferable components that downstream teams can leverage to accelerate their own AI solutions. You’ll work across the full AI lifecycle — from data preprocessing and model orchestration to serving, observability, and optimization — while embedding agentic reasoning and orchestration capabilities into the platform. Job Description: Essential Responsibilities: Define and drive the strategic vision for machine learning initiatives within the team. Lead the development and optimization of machine learning models. Oversee the preprocessing and analysis of large datasets. Deploy and maintain ML solutions in production environments. Collaborate with cross-functional teams to integrate ML models into products and services. Monitor and evaluate the performance of deployed models, making necessary adjustments. Mentor and guide junior engineers and data scientists. Ensure adherence to best practices and industry standards in ML development. Minimum Qualifications: Minimum of 12 years of relevant work experience and a Bachelor's degree or equivalent experience. Previous management experience For the majority of employees, PayPal's balanced hybrid work model offers 3 days in the office for effective in-person collaboration and 2 days at your choice of either the PayPal office or your home workspace, ensuring that you equally have the benefits and conveniences of both locations. Our Benefits: At PayPal, we’re committed to building an equitable and inclusive global economy. And we can’t do this without our most important asset—you. That’s why we offer benefits to help you thrive in every stage of life. We champion your financial, physical, and mental health by offering valuable benefits and resources to help you care for the whole you. We have great benefits including a flexible work environment, employee shares options, health and life insurance and more. To learn more about our benefits please visit https://www.paypalbenefits.com Who We Are: To learn more about our culture and community visit https://about.pypl.com/who-we-are/default.aspx Commitment to Diversity and Inclusion PayPal provides equal employment opportunity (EEO) to all persons regardless of age, color, national origin, citizenship status, physical or mental disability, race, religion, creed, gender, sex, pregnancy, sexual orientation, gender identity and/or expression, genetic information, marital status, status with regard to public assistance, veteran status, or any other characteristic protected by federal, state, or local law. In addition, PayPal will provide reasonable accommodations for qualified individuals with disabilities. If you are unable to submit an application because of incompatible assistive technology or a disability, please contact us at paypalglobaltalentacquisition@paypal.com. Belonging at PayPal: Our employees are central to advancing our mission, and we strive to create an environment where everyone can do their best work with a sense of purpose and belonging. Belonging at PayPal means creating a workplace with a sense of acceptance and security where all employees feel included and valued. We are proud to have a diverse workforce reflective of the merchants, consumers, and communities that we serve, and we continue to take tangible actions to cultivate inclusivity and belonging at PayPal. Any general requests for consideration of your skills, please Join our Talent Community. We know the confidence gap and imposter syndrome can get in the way of meeting spectacular candidates. Please don’t hesitate to apply.

The Company PayPal has been revolutionizing commerce globally for more than 25 years. Creating innovative experiences that make moving money, selling, and shopping simple, personalized, and secure, PayPal empowers consumers and businesses in approximately 200 markets to join and thrive in the global economy. We operate a global, two-sided network at scale that connects hundreds of millions of merchants and consumers. We help merchants and consumers connect, transact, and complete payments, whether they are online or in person. PayPal is more than a connection to third-party payment networks. We provide proprietary payment solutions accepted by merchants that enable the completion of payments on our platform on behalf of our customers. We offer our customers the flexibility to use their accounts to purchase and receive payments for goods and services, as well as the ability to transfer and withdraw funds. We enable consumers to exchange funds more safely with merchants using a variety of funding sources, which may include a bank account, a PayPal or Venmo account balance, PayPal and Venmo branded credit products, a credit card, a debit card, certain cryptocurrencies, or other stored value products such as gift cards, and eligible credit card rewards. Our PayPal, Venmo, and Xoom products also make it safer and simpler for friends and family to transfer funds to each other. We offer merchants an end-to-end payments solution that provides authorization and settlement capabilities, as well as instant access to funds and payouts. We also help merchants connect with their customers, process exchanges and returns, and manage risk. We enable consumers to engage in cross-border shopping and merchants to extend their global reach while reducing the complexity and friction involved in enabling cross-border trade. Our beliefs are the foundation for how we conduct business every day. We live each day guided by our core values of Inclusion, Innovation, Collaboration, and Wellness. Together, our values ensure that we work together as one global team with our customers at the center of everything we do – and they push us to ensure we take care of ourselves, each other, and our communities. Job Description Summary: Job Summary We are seeking a hands-on AI Engineer to help design and build the next generation of reusable AI capabilities — including LLM pipelines, multi-agent systems, and production- grade model infrastructure. This is a strategic individual contributor role sitting within our core foundational AI team, focused on developing modular, scalable, and transferable components that downstream teams can leverage to accelerate their own AI solutions. You’ll work across the full AI lifecycle — from data preprocessing and model orchestration to serving, observability, and optimization — while embedding agentic reasoning and orchestration capabilities into the platform. Job Description: Essential Responsibilities: Define and drive the strategic vision for machine learning initiatives within the team. Lead the development and optimization of machine learning models. Oversee the preprocessing and analysis of large datasets. Deploy and maintain ML solutions in production environments. Collaborate with cross-functional teams to integrate ML models into products and services. Monitor and evaluate the performance of deployed models, making necessary adjustments. Mentor and guide junior engineers and data scientists. Ensure adherence to best practices and industry standards in ML development. Minimum Qualifications: Minimum of 12 years of relevant work experience and a Bachelor's degree or equivalent experience. Previous management experience For the majority of employees, PayPal's balanced hybrid work model offers 3 days in the office for effective in-person collaboration and 2 days at your choice of either the PayPal office or your home workspace, ensuring that you equally have the benefits and conveniences of both locations. Our Benefits: At PayPal, we’re committed to building an equitable and inclusive global economy. And we can’t do this without our most important asset—you. That’s why we offer benefits to help you thrive in every stage of life. We champion your financial, physical, and mental health by offering valuable benefits and resources to help you care for the whole you. We have great benefits including a flexible work environment, employee shares options, health and life insurance and more. To learn more about our benefits please visit https://www.paypalbenefits.com Who We Are: To learn more about our culture and community visit https://about.pypl.com/who-we-are/default.aspx Commitment to Diversity and Inclusion PayPal provides equal employment opportunity (EEO) to all persons regardless of age, color, national origin, citizenship status, physical or mental disability, race, religion, creed, gender, sex, pregnancy, sexual orientation, gender identity and/or expression, genetic information, marital status, status with regard to public assistance, veteran status, or any other characteristic protected by federal, state, or local law. In addition, PayPal will provide reasonable accommodations for qualified individuals with disabilities. If you are unable to submit an application because of incompatible assistive technology or a disability, please contact us at paypalglobaltalentacquisition@paypal.com. Belonging at PayPal: Our employees are central to advancing our mission, and we strive to create an environment where everyone can do their best work with a sense of purpose and belonging. Belonging at PayPal means creating a workplace with a sense of acceptance and security where all employees feel included and valued. We are proud to have a diverse workforce reflective of the merchants, consumers, and communities that we serve, and we continue to take tangible actions to cultivate inclusivity and belonging at PayPal. Any general requests for consideration of your skills, please Join our Talent Community. We know the confidence gap and imposter syndrome can get in the way of meeting spectacular candidates. Please don’t hesitate to apply.

When you join Verizon You want more out of a career. A place to share your ideas freely — even if they’re 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 You’ll Be Doing... As a DMTS (AI Science) you will own and drive end to end solutions for Cognitive and Gen AI driven use cases. Working on designing and building scalable cognitive and generative AI solutions to meet the needs of given Business engagement. Providing technical thought leadership on model architecture, delivery, monitoring, measurement and model lifecycle best practices. Working in collaborative environment with global teams to drive solutioning of business problems. Developing end to end analytical solutions, and articulating insights to leadership. Provide data-driven recommendations to business by clearly articulating complex modeling concepts through generation and delivery of presentations. Analyzing and model both structured and unstructured data from a number of distributed client and publicly available sources. Assisting with the mentorship and development of Junior members. Drive team towards solutions. Assisting in growing data science practice in Verizon, by meeting business goals through client prospecting, responding to model POC, identifying and closing opportunities within identified Insights, writing white papers, exploring new tools and defining best practices. What We’re Looking For... You have strong ML/NLP/GenAI skills and are eager to work in a collaborative environment with global teams to drive NLP/GenAI application in business problems. You work independently and are always willing to learn new technologies. You thrive in a dynamic environment and are able to interact with various stakeholders and cross functional teams to implement data science driven business solutions. You take pride in your role as a data scientist and evangelist and enjoy adding to the systems, concepts and models that enrich the practice. You enjoy mentoring and empowering the team to expand their technical capabilities. You’ll Need To Have Bachelor’s degree or four or more years of work experience. Six or more years of work experience. Data Scientist and thought leader with experience in implementing production use cases in Gen AI and Cognitive. Ten or more years of hands-on experience on implementation of large-scale NLP Projects and Fine tuning & Evaluation of LLMs for downstream tasks such as text generation, Classification, summarization, question answering, entity extraction etc. Working knowledge of Agentic AI frameworks like LangChain, LangGraph, CrewAI etc. Ability to guide the team to correctly analyze cognitive insights and leverage unstructured conversational data to create transformative, intelligent, context aware and adaptive AI systems. Experience in Machine Learning, Deep Learning model development & deployment from scratch in Python. Working knowledge of NLP frameworks and libraries like NLTK, Spacy, Transformers, Pytorch, Tensorflow, hugging face API's. Working knowledge of various supervised and unsupervised ML algorithms. Should know the various data preprocessing techniques and its impact on algorithm's accuracy, precision and recall. Knowledge & Implementation Experience of Deep Learning i.e Convolutional Neural Nets (CNN), Recursive Neural Nets (RNN) & Long Short-Term Memory (LSTM), Generative Adversarial Networks (GAN), Deep Reinforcement Learning. Experience with RESTful, JSON API services. Working knowledge on Word embeddings, TF-IDF, Tokenization, N-Grams, Stemmers, lemmatization, Part of speech tagging, entity resolution, ontology, lexicology, phonetics, intents, entities, and context. Experience in analyzing Live Chat/call conversation with agents. Expertise in Python, Sql, PySpark, Scala and/or other languages and tools. Understanding of validation framework for generative model output and perspective on future ready systems to scale validation. Familiarity with GPU/CPU architecture and distributed computing and general infra needs to scale Gen AI models Ability to provide technical thought leadership on model architecture, delivery, monitoring, measurement and model lifecycle best practices. Even better if you have one or more of the following: Phd or an advanced degree or specialization in Artificial Intelligence If Verizon and this role sound like a fit for you, we encourage you to apply even if you don’t meet every “even better” qualification listed above. Where you’ll 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.

Roles & Responsibilities Key Responsibilities Design, develop, and optimize Machine Learning & Deep Learning models using Python and libraries such as TensorFlow, PyTorch, and Scikit-learn Work with Large Language Models (e.g., GPT, BERT, T5) to solve NLP tasks such as, semantic search, summarization, chatbots, conversational agents, and document intelligence. Lead the development of scalable AI solution including data preprocessing, embedding generation, vector search, and prompt orchestration. Build and manage vector databases and metadata stores to support high-performance semantic retrieval and contextual memory. Implement caching, queuing, and background processing systems to ensure performance and reliability at scale. Conduct independent R&D to implement cutting-edge AI methodologies, evaluate open-source innovations, and prototype experimental solutions Apply predictive analytics and statistical techniques to mine actionable insights from structured and unstructured data. Build and maintain robust data pipelines and infrastructure for end-to-end ML model training, testing, and deployment Collaborate with cross-functional teams to integrate AI solutions into business processes Contribute to the MLOps lifecycle, including model versioning, CI/CD, performance monitoring, retraining strategies, and deployment automation Stay updated with the latest developments in AI/ML by reading academic papers, and experimenting with novel tools or frameworks Required Skills & Qualifications Proficient in Python, with hands-on experience in key ML libraries: TensorFlow, PyTorch, Scikit-learn, and HuggingFace Transformers Strong understanding of machine learning fundamentals, deep learning architectures (CNNs, RNNs, transformers), and statistical modeling Practical experience working with and fine-tuning LLMs and foundation models Deep understanding of vector search, embeddings, and semantic retrieval techniques. Expertise in predictive modeling, including regression, classification, time series, clustering, and anomaly detection Comfortable working with large-scale datasets using Pandas, NumPy, SciPy etc. Experience with cloud platforms (AWS, GCP, or Azure) for training and deployment is a plus Preferred Qualifications Master’s or Ph.D. in Computer Science, Machine Learning, Data Science, or related technical discipline. Experience with MLOps tools and workflows (e.g., Docker, Kubernetes, MLflow, SageMaker, Vertex AI). Ability to build and expose APIs for models using FastAPI, Flask, or similar frameworks. Familiarity with data visualization (Matplotlib, Seaborn) and dashboarding (Plotly) tools or equivalent Working knowledge of version control, experiment tracking, and team collaboration Experience 8-11 Years Skills Primary Skill: AI/ML Development Sub Skill(s): AI/ML Development Additional Skill(s): TensorFlow, NLP, Pytorch, Large Language Models (LLM) About The Company Infogain is a human-centered digital platform and software engineering company based out of Silicon Valley. We engineer business outcomes for Fortune 500 companies and digital natives in the technology, healthcare, insurance, travel, telecom, and retail & CPG industries using technologies such as cloud, microservices, automation, IoT, and artificial intelligence. We accelerate experience-led transformation in the delivery of digital platforms. Infogain is also a Microsoft (NASDAQ: MSFT) Gold Partner and Azure Expert Managed Services Provider (MSP). Infogain, an Apax Funds portfolio company, has offices in California, Washington, Texas, the UK, the UAE, and Singapore, with delivery centers in Seattle, Houston, Austin, Kraków, Noida, Gurgaon, Mumbai, Pune, and Bengaluru.

Job Description We are seeking a high-impact AI/ML Engineer to lead the design, development, and deployment of machine learning and AI solutions across vision, audio, and language modalities. You'll be part of a fast-paced, outcome-oriented AI & Analytics team, working alongside data scientists, engineers, and product leaders to transform business use cases into real-time, scalable AI systems. Responsibilities This role demands strong technical leadership, a product mindset, and hands-on expertise in Computer Vision, Audio Intelligence, and Deep Responsibilities : Architect, develop, and deploy ML models for multimodal problems, including vision (image/video), audio (speech/sound), and NLP tasks. Own the complete ML lifecycle: data ingestion, model development, experimentation, evaluation, deployment, and monitoring. Leverage transfer learning, foundation models, or self-supervised approaches where suitable. Design and implement scalable training pipelines and inference APIs using frameworks like PyTorch or TensorFlow. Collaborate with MLOps, data engineering, and DevOps to productionize models using Docker, Kubernetes, or serverless infrastructure. Continuously monitor model performance and implement retraining workflows to ensure accuracy over time. Stay ahead of the curve on cutting-edge AI research (e.g., generative AI, video understanding, audio embeddings) and incorporate innovations into production systems. Write clean, well-documented, and reusable code to support agile experimentation and long-term platform : Bachelors or Masters degree in Computer Science, Artificial Intelligence, Data Science, or a related field. 58 years of experience in AI/ML Engineering, with at least 3 years in applied deep learning. Technical Skills Languages : Expert in Python; good knowledge of R or Java is a plus. ML/DL Frameworks : Proficient with PyTorch, TensorFlow, Scikit-learn, ONNX. Computer Vision : Image classification, object detection, OCR, segmentation, tracking (YOLO, Detectron2, OpenCV, MediaPipe). Audio AI : Speech recognition (ASR), sound classification, audio embedding models (Wav2Vec2, Whisper, etc. Data Engineering : Strong with Pandas, NumPy, SQL, and preprocessing pipelines for structured and unstructured data. NLP/LLMs : Working knowledge of Transformers, BERT/LLAMA, Hugging Face ecosystem is preferred. Cloud & MLOps : Experience with AWS/GCP/Azure, MLFlow, SageMaker, Vertex AI, or Azure ML. Deployment & Infrastructure : Experience with Docker, Kubernetes, REST APIs, serverless ML inference. CI/CD & Version Control : Git, DVC, ML pipelines, Jenkins, Airflow, etc. Soft Skills & Competencies Strong analytical and systems thinking; able to break down business problems into ML components. Excellent communication skills able to explain models, results, and decisions to non-technical stakeholders. Proven ability to work cross-functionally with designers, engineers, product managers, and analysts. Demonstrated bias for action, rapid experimentation, and iterative delivery of impact. (ref:hirist.tech)

Selected Intern's Day-to-day Responsibilities Include Work on real AI and machine learning projects from scratch Write clean, efficient, and scalable Python code for AI tools and integrations Assist in data collection, preprocessing, and analysis Collaborate with the AI team on building and testing machine learning models Contribute to improving existing AI prototypes and automation pipelines Research and implement algorithms and best practices About Company: We're a media agency that specializes in social media, video content creation, digital marketing, and augmented reality.

See all the jobs at Srijan Technologies PVT LTD here: Lead/Senior Data Scientist (Agentic AI) Location: Gurgaon/Bangalore Department: Technology Type: Full-time Remote: Partially remote Apply by: July 31, 2025 Senior Developer/Lead - Data Science Material is hiring for Lead Data Science. We are looking for a Senior Developer/Lead - Data Scientist with strong Generative AI experience, skilled in Python, TensorFlow/PyTorch/Scikit-learn, Azure OpenAI GPT, and multi-agent frameworks like LangChain or AutoGen, with strong data preprocessing, feature engineering, and model evaluation expertise. Bonus: Familiarity with Big Data tools (Spark, Hadoop, Databricks, SQL/NoSQL) and ReactJS Immediate Joiner Required Minimum Experience: 4 years in Senior Developer/Lead - Data Scientist Preferred Location: Gurgaon/Bangalore : Generative AI: GenAI models (e.g., Azure OpenAI GPT), Multi-Agent System Architecture: Proficiency in Python and AI/ML libraries (e.g., TensorFlow, PyTorch, Scikit-learn). Experience with LangChain, AutoGen, or similar frameworks for multi-agent systems. Strong knowledge of Data Science techniques, including data preprocessing, feature engineering, and model evaluation. Nice to Have: Familiarity with Big Data tools (e.g., Spark, Hadoop) / Databricks and databases (e.g., SQL, NoSQL). Expertise in ReactJS for building responsive and interactive user interfaces. What We Offer Professional Development and Mentorship. Hybrid work mode with a remote-friendly workplace. (6 times in a row Great Place To Work Certified). Health and Family Insurance. 40 Leaves per year along with maternity & paternity leaves. Wellness, meditation, and Counseling sessions.