133 Ai Algorithms Jobs

Role & responsibilities: Key Responsibilities: Frontend Development (React.js): Develop responsive and user-friendly UI components using React.js. Integrate RESTful APIs with frontend interfaces. Optimize components for maximum performance across various devices and browsers. Maintain code quality, reusability, and best practices in UI/UX. Backend Development (Node.js): Design and develop RESTful APIs and backend services using Node.js and Express. Implement business logic, data validation, and authentication/authorization mechanisms. Work with databases (e.g., MongoDB, PostgreSQL) to manage application data efficiently. Ensure security, scalability, and reliability of backend systems. Server & Deployment (VPS, Nginx): Set up and manage VPS (Linux-based) environments for development and production. Configure and maintain Nginx for reverse proxy and load balancing. Automate deployments and manage CI/CD pipelines (e.g., using Git, Docker, GitHub Actions). Monitor server performance and handle scaling and uptime optimization. Troubleshoot infrastructure issues and ensure high availability of services.

Design, develop, and deploy advanced machine learning models and algorithms. Work with large, complex datasets to extract meaningful insights. Collaborate with data scientists, engineers, and product teams to define ML requirements. Required Candidate profile Implement, train, and fine-tune deep learning models for NLP, computer vision, or other AI domains. Stay updated with the latest research in AI/ML and recommend relevant technologies.

Role Definition: Data Scientists focus on researching and developing AI algorithms and models. In this role, you will analyze data, build predictive models, and apply machine-learning techniques to solve complex problems. Key Responsibilities: Research and develop AI algorithms and predictive models. Analyze data to extract actionable insights. Build, test, and deploy machine learning and deep learning models. Manage end-to-end AI solution delivery, from data mining and cleaning to deployment. Collaborate with cross-functional teams to integrate AI solutions into business processes. Ensure effective monitoring and maintenance of data pipelines and model performance. Required Skills: Proficient: Languages/Frameworks: Fast API, Azure UI Search API (React) Databases and ETL: Cosmos DB (API for MongoDB), Data Factory, and Data Bricks Programming: Proficiency in Python and R Cloud: Azure Cloud Basics (Azure DevOps) Version Control & CI/CD: Gitlab Pipeline Deployment: Ansible and REX (Rex Deployment) Data Science: Prompt Engineering, Modern Testing, and data mining/cleaning Machine Learning: Supervised/unsupervised learning, NLP techniques, and familiarity with deep learning techniques (RNN, transformers) End-to-End Delivery: AI integration, deployment, and model deployment processes Frameworks & Operations: AI frameworks (PyTorch), MLOps frameworks, and data pipeline monitoring Expert (in addition to the proficient skills): Languages/Frameworks: Expertise in Azure Open AI Data Science: Proficiency with Open AI GPT Family of models (4o/4/3), embeddings, and vector search Databases and ETL: Experience with Azure Storage Account Machine Learning: Expertise in a broad range of machine learning algorithms (supervised, unsupervised, reinforcement learning) Deep Learning: Proficiency in deep learning frameworks (TensorFlow, PyTorch) Mathematics: Strong mathematical foundation in linear algebra, calculus, probability, and statistics Research: Solid research methodology and experimental design skills Data Analysis: Proficiency in data analysis tools (Pandas, NumPy, SQL) Statistics: Strong statistical and probabilistic modeling skills Data Visualization: Experience with tools like Matplotlib, Seaborn, or Tableau Big Data: Knowledge of big data technologies such as Spark and Hive Analytics: Experience with AI-driven analytics and decision-making systems

Meet the Team: Join our Digital Transformation Office, a dynamic team driving AI and automation initiatives within Finance. Our mission is to enhance operational efficiency, optimize financial decision-making, and drive business value through AI-powered insights. Key Responsibilities: Business Analysis:Collaborate with stakeholders to identify AI/ML opportunities for process optimization and decision-making. Data Exploration:Analyze data, uncover trends, and support feature engineering for AI models. AI/ML Evaluation:Assess model feasibility, performance, and business impact. Requirements & Testing:Document AI/ML project requirements, validate model accuracy, and troubleshoot issues. Model Deployment & Monitoring:Support production deployment and performance tracking. Collaboration:Work cross-functionally with Data Scientists, Engineers, and Finance teams. Research & Learning:Stay updated on AI/ML advancements and industry applications. Who You Are Technical Skills:Proficiency in Python, SQL, and machine learning frameworks. Strong understanding of AI algorithms, data analysis, and statistical methods. Business Acumen:Ability to translate technical insights into actionable business strategies. Attention to Detail:Ensure data quality, model accuracy, and impactful insights. Minimum Qualifications: Education:Bachelors or Masters in Computer Science, Data Science, Engineering, Mathematics, or a related field. Experience:3+ years in machine learning, data analysis, or AI solutions. Preferred Skills: Experience with data visualization tools (Tableau, Power BI), cloud platforms (AWS, GCP, Azure), and AI deployment tools (Docker, Kubernetes, MLflow). Financial industry knowledge and experience working in Agile environments.

Responsibilities: * Develop AI solutions using Python, ML algorithms & NLP techniques. * Collaborate with cross-functional teams on backend dev & frontend UX.

Roles and Responsibilities Design, develop, test, and deploy AI-powered solutions using various technologies such as AIMl, Deep Learning, and Machine Learning. Collaborate with cross-functional teams to identify business problems and implement automation solutions using tools like Blue Prism, Uipath, or Automation Anywhere. Develop data analysis skills to extract insights from large datasets and provide recommendations for process improvements. Troubleshoot issues related to deployment automation and ensure seamless integration with existing systems. Desired Candidate Profile 0-1 year of experience in Artificial Intelligence Engineering or a related field. Strong understanding of AI algorithms, machine learning algorithms, and deep learning concepts. Proficiency in programming languages such as Python or Java; knowledge of C++ is an added advantage.

You'll be Responsible for: Design, develop and implement cutting-edge AI/ML solutions, including Large Language Models (LLMs) and Generative AI applications Lead projects end-to-end while mentoring team members in AI-ML, including traditional ML and emerging AI technologies Drive innovation in AI agent development and orchestration for automated decision-making systems Establish best practices for responsible AI development and deployment What you'd have: AI-ML Engineer or Data Scientist with 3 11 years of relevant experience Strong expertise in modern AI frameworks and tools: ML/DL frameworks (TensorFlow, PyTorch, Keras, Sklearn) LLM frameworks (LangChain, LlamaIndex, CrewAI, AutoGen) Vector databases (Pinecone, Weaviate, ChromaDB) Good To Have Hands-on experience with: Generative AI and foundation models Prompt engineering and LLM fine-tuning AI agent development and orchestration RAG (Retrieval-Augmented Generation) systems Proven experience in data preparation, including: Advanced data preprocessing techniques Feature engineering Data quality assessment and improvement Proficiency in data exploration tools (Pandas, Numpy, Polars) Strong programming skills in Python; R is a plus Deep understanding of: Statistics and probability ML/DL algorithms AI governance and responsible AI practices Experience with: Large-scale data processing Model deployment and MLOps Cost optimization for AI systems Track record of 3-5 successful AI/ML projects in production Excellent communication skills and team leadership ability Continuous learning mindset for emerging AI technologies Skills: Statistics and Mathematics Classical Machine Learning Deep Learning and Neural Networks Generative AI and LLMs Agentic AI Development MLOps and Production Engineering Data Engineering Model Optimization and Tuning AI Governance and Ethics Team Leadership Why join us? Impactful Work: Drive innovation in AI technologies while safeguarding Tanla's assets, data, and reputation Growth Opportunities: Be part of a rapidly growing company in the telecom and CPaaS space, with clear paths for professional advancement Innovative Environment: Work with a world-class team on cutting-edge AI technologies in a challenging and collaborative environment Research Opportunities: Contribute to the advancement of GenAI and Agentic AI technologies Tanla is an equal opportunity employer. We champion diversity and are committed to creating an inclusive environment for all employees. www.tanla.com

Company Description Yanara is a pioneering leader in advancing renewable energy across the Asia Pacific region, transforming availability into reliability through firm and dispatchable renewable power solutions. Our innovative utility-scale hybrid projects integrate solar, wind, and energy storage technologies to meet the region&aposs growing electricity demand. As an AI-native cognitive enterprise, Yanara delivers safe, reliable, and cost-effective power solutions for utilities, industries, and digital infrastructure. With strong engineering and execution capabilities, we are driving the shift to cleaner power and deeper electrification. With projects under construction in India, the Philippines, and Australia, Yanara is purpose-built for the next phase of energy transition. Role Description This is a full-time role for an Energy Data Scientist based in Gurugram. The Energy Data Scientist will analyze data to optimize sizing of renewable energy projects, develop machine learning models to perform advanced analytics, create dashboards, and generate insights to improve energy efficiency. They will collaborate with the engineering team to ensure data accuracy and create predictive models to forecast energy production and consumption. Qualifications Bachelors degree in engineering with minimum 5 years of experience in energy industry Proficiency in Data Analysis, Data Modeling, and Data Visualization Experience with Machine Learning, Predictive Analytics, and AI algorithms Strong programming skills in Python, R, or similar languages Understanding of renewable energy systems and energy markets Excellent problem-solving and analytical skills Ability to work independently and collaboratively in a hybrid work environment Critical Attributes for the role: Prior experience in any Renewable technology (Solar, Wind, Energy storage) data analytics. Familiarity with the renewable energy markets in APAC region with exposure to energy data analytics or renewable project engineering Expert in exploratory data analytics, time series manipulation, and statistical approaches to data analysis. Strong verbal, and interpersonal communication skills. Organized, detail-oriented and able to handle priorities in a fast-paced environment. Bachelors degree in engineering with minimum 5 years of experience in energy industry. Familiarity with coding in Python and/or R, cloud provider, GCP, AWS, or Azure, Kubernetes, docker, and cloud CI/CD deployments. Show more Show less

- Build & test AI software for large-scale data; develop in Python, JS & C++ for performance - Analyze data, stats & algorithms for accuracy; recommend AI-driven strategies - Collaborate with ML/Data engineers; track AI trends & compliance Required Candidate profile - Deep understanding of data science, linear algebra, algorithms, and statistics. - In-depth knowledge of Python, JavaScript, and C++, etc. - Willingness to learn in an up-and-coming field.

Job Title: Technical Project Manager Job Location: Ambattur, Chennai Job Description: A Technical Project Manager serves as the bridge between product strategy, engineering execution, and business goals. This role is responsible for defining and driving the product roadmap, collaborating closely with cross-functional teams to deliver high-quality, scalable solutions. The Technical Project Manager ensures product initiatives align with customer needs and organizational priorities, while also overseeing timelines, resources, and performance metrics. The core responsibility remains in leading the product lifecycle from concept to launch, ensuring both innovation and execution excellence. Specific Responsibilities: Define and drive product strategy from concept to launch, ensuring alignment with customer needs and business goals Provide hands-on leadership in software development across the full tech stack to ensure scalable, high-quality product delivery Translate business goals into a clear product roadmap aligned with customer needs and organizational objectives Collaborate with cross-functional teams (engineering, design, QA, marketing, support) to define, prioritize, and deliver high-impact features Design and oversee product specifications, UI/UX flows, API interactions, and technical requirements Drive the architecture and development of scalable web, mobile, and backend solutions, ensuring quality and timely delivery Manage technical resources effectively, plan multiple initiatives, and ensure adherence to timelines, budgets, and quality standards Mentor and manage high-performing teams, fostering a culture of accountability, innovation, and continuous improvement Present product strategies and milestone updates to stakeholders, ensuring alignment at all levels Continuously identify process improvements and implement tools/methods to enhance development efficiency and product quality Lead the integration and deployment across product features to drive automation, personalization, and user experience Lead the integration and deployment of solutions including APIs, frontend, and backend componentsto drive automation, personalization, and enhanced user experience. Stay up to date with AI/ML trends and advancements, identifying opportunities to leverage emerging technologies within the product roadmap Key Requirements 15 + years of Relevant Experience in the field. With at least 5+ years of experience leading cross-functional teams in a technical environment Strong background in software development with hands-on experience in AI/ML or Generative AI solutions, model training, and data analytics Experience in driving product strategy and defining roadmaps from concept to launch across full tech stacks (Web, Mobile, API, and backend systems) Solid understanding of product design, UI/UX principles, and collaborating with design teams to deliver intuitive user experiences Strong leadership qualities with experience managing and mentoring engineering and product teams Proven track record in owning, delivering, and scaling commercial software products Expertise in Agile methodologies, including sprint planning, resource allocation, and prioritization Strong understanding of Design patterns and Programming skills using any one of high-level languages - C#, java, .NET, Knowledge in DevOps processes, using tools such as Jenkins, Git, Jira, and Bitbucket Strong understanding on front end technologies like AngularJS, Java script, ReactJS, CSS, HTML Python Must-have for AI/ML model development, data processing, and backend logic. OpenAI APIs / Azure OpenAI – Experience integrating generative AI capabilities using large language models. Azure / AWS / GCP – Proficiency in at least one major cloud platform for deploying scalable AI- driven applications. Working knowledge of API design and distributed backend systems with SOAP, REST Ability to use data and analytics to guide product decisions, validate new features, and improve performance Bachelor's degree or equivalent in a technical or business-related field Excellent communication skills, problem-solving ability, and a can-do attitude Role & responsibilities Preferred candidate profile Candidate from Developement Background and currently handling the technical team and should be expertise in AI/ML

Role & responsibilities We are seeking a seasoned Python Architect to lead the architecture, design, and development of scalable, high-performance enterprise and SaaS solutions. The ideal candidate will bring extensive technical expertise, hands-on Python development skills, and proven experience in designing modern, cloud-native architectures. This role requires strong leadership, cross-functional collaboration, and mentoring capabilities. Architectural Leadership: Define and own the overall technical architecture for complex applications, ensuring scalability, reliability, and security. Software Design & Development: Drive high-quality software design patterns, code reviews, and best practices across development teams. Python & Framework Expertise: Architect and implement backend services using Python, Django/Flask, with optimized APIs and reusable components. Cloud Architecture: Design and deploy secure, scalable cloud solutions on Azure (experience with AWS is an added plus). Containerization & DevOps: Implement Docker -based deployments, CI/CD pipelines, and infrastructure automation. Web & UI Integration: Collaborate with frontend engineers on React integration to ensure seamless user experiences. SaaS Integration: Architect and integrate multi-tenant SaaS platforms, ensuring smooth data flows and third-party system interoperability. Test Automation: Establish and enforce test automation frameworks to improve quality, reduce regression issues, and accelerate delivery. AI for Code Optimization: Leverage AI-powered tools for code optimization, refactoring, and improving development productivity. Documentation: Prepare design documents, sequence diagrams, and technical specifications. Mentorship & Collaboration: Provide technical guidance to teams, partner with product managers, and communicate effectively with stakeholders. Preferred candidate profile Experience: 12+ years in software engineering with at least 5+ years in an Architectural / Technical Leadership role. Programming & Backend: Deep expertise in Python , Django, Flask, RESTful API design, and scalable backend architectures. Software Design: Proven experience applying architectural patterns, microservices design, and reusable frameworks. Cloud & DevOps: Hands-on experience with Azure cloud , CI/CD pipelines, Docker , and infrastructure as code (IaC). UI & Frontend Integration: Understanding of React -based frontend applications and their integration with Python backends. Testing & Automation: Experience designing and implementing test automation frameworks . SaaS Systems: Strong background in SaaS platform design and integration , including multi-tenant solutions. AI in Development: Practical exposure to AI tools for code optimization, automated refactoring, and quality improvements . Databases: Strong skills in SQL & NoSQL, schema design, and performance tuning. Soft Skills: Excellent problem-solving, communication, and leadership skills. Container orchestration (Kubernetes) and API Gateway experience. Exposure to data pipelines, ML/AI integrations, or event-driven architectures. TOGAF, Azure Solution Architect, or similar certifications.

The successful candidate will be part of highly productive teams working on implementing core AI algorithms, Cryptography libraries, AI enabled products, and intelligent 3D interfaces. You will work on cutting edge products and technologies in highly challenging domains and will need to have the highest level of commitment and interest to learn new technologies and domain-specific subject matter very quickly. Successful completion of projects will require travel and working in remote locations with customers for extended periods. Your skillset and expertise should include: - Strong software development experience using Python - Strong background in mathematical, numerical, and scientific computing using Python - Knowledge in Artificial Intelligence / Machine learning - Experience working with SCRUM software development methodology - Strong experience with implementing Web services, Web clients, and JSON protocol is required - Experience with Python Meta programming - Strong analytical and problem-solving skills - Design, develop, and debug enterprise-grade software products and systems - Software systems testing methodology, including writing and execution of test plans, debugging, and testing scripts and tools - Excellent written and verbal communication skills; Proficiency in English. Verbal communication in Hindi and other local Indian languages - Ability to effectively communicate product design, functionality, and status to management, customers, and other stakeholders - Highest level of integrity and work ethic Frameworks you should be familiar with include: - Scikit-learn - Tensorflow - Keras - OpenCV - Django - CUDA - ReactJS - SVN - Apache Kafka Your mathematics background should cover: - Advanced Calculus - Numerical Analysis - Complex Function Theory - Probability You should be familiar with one or more of the following concepts: - OpenGL-based 3D programming - Cryptography - Artificial Intelligence (AI) Algorithms - Statistical modeling - DNN - RNN - LSTM - GAN - CNN Education Qualification: Bachelor, Master, or PhD degree in Computer Science, Mathematics, Electronics, Information Systems from a reputed university and/or equivalent Knowledge and Skills Location: Hyderabad, Bengaluru, Delhi, If needed Client Locations Please send your resume to hr@meslova.com,

You are a talented and experienced AI Scientist with a strong foundation in developing cutting-edge AI algorithms. Join our Lab45 AI Platform Team at Wipro and leverage your 4 to 10 years of hands-on experience in areas such as Generative AI, LLM, Deep Learning, and Unsupervised AI. Your expertise should include Python, TensorFlow, PyTorch, PySpark, distributed computing, Statistics, and cloud technologies. You will be responsible for developing state-of-the-art AI algorithms and models, collaborating with cross-functional teams to translate business requirements into scalable solutions, and working with large datasets to optimize algorithms and enhance model performance. Additionally, you will play a key role in creating intellectual property through patents and research papers, staying updated on the latest advancements in AI research, and effectively communicating and collaborating with teams. To excel in this role, you should hold a Master's or Ph.D. degree in Computer Science, Artificial Intelligence, Machine Learning, or related field. Your proven track record in developing AI algorithms, proficiency in Python programming, familiarity with TensorFlow, PyTorch, PySpark, and experience with distributed computing and cloud platforms (e.g., Azure, AWS, GCP) will be essential. Strong problem-solving skills, a deep understanding of AI concepts and techniques, and effective communication and collaboration abilities are also required. At Wipro, we value continuous technical project management and delivery, client centricity, capability building, and team management. Performance parameters for this role include adoption of new technologies, IP creation, MVP creation, number of patents filed, research papers created, number of automations done, on-time delivery, cost of delivery, optimal resource allocation, percentage of team trained on new age skills, team attrition percentage, and number of webinars conducted. Join our team at Wipro and be part of a modern, end-to-end digital transformation partner with bold ambitions. We are looking for individuals inspired by reinvention, eager to evolve in their careers, and contribute to the ever-changing world around us. Come to Wipro and realize your ambitions in a business powered by purpose and innovation. Wipro welcomes applications from individuals with disabilities.,

Description Job Summary: We are looking for a seasoned AI & Data Science Architect to lead and support the Bank's strategic initiatives in AI and Data Science. This role requires a visionary technologist with hands-on experience in designing scalable AI/ML systems, translating complex business challenges into AI-driven solutions, and driving MLOps best practices. The ideal candidate will collaborate across business and technical teams to ensure robust data pipelines, model lifecycle governance, infrastructure scalability, and responsible AI adoption. Key Responsibilities: Architect end-to-end AI and Data Science solutions that ensure scalability, performance, and security. Design robust AI/ML infrastructures, incorporating data pipelines, model training, deployment, and monitoring frameworks. Translate business needs into AI strategies and corresponding technical solutions. Lead the model lifecycle including design, development, deployment, and monitoring with full MLOps integration. Champion MLOps practices such as CI/CD for models, reproducibility, versioning, and model governance. Collaborate with cross-functional teamsincluding data engineers, ML practitioners, and domain expertsto align AI initiatives with enterprise objectives. Ensure all AI solutions comply with regulatory, ethical, and security standards including explainability and data privacy. Skills and Qualifications 15-25 years of experience in AI, data science, or a related field. Proficiency in programming languages such as Python, R, and Java. Extensive experience with machine learning frameworks (e.g., TensorFlow, PyTorch, Scikit-learn). Strong understanding of data engineering concepts, data warehousing, and ETL processes. Experience with cloud platforms (e.g., AWS, Azure, Google Cloud) and their AI services. Knowledge of big data technologies (e.g., Hadoop, Spark) and data visualization tools (e.g., Tableau, Power BI). Proven ability to work with large datasets and derive actionable insights from them. Excellent problem-solving skills and a strong analytical mindset. Effective communication skills to convey complex technical concepts to non-technical stakeholders. Leadership & Project Management: Team Leadership: Ability to mentor and lead multidisciplinary AI/DS teams. Project Execution: Skilled in estimating, planning, and executing technical projects in enterprise environments. Stakeholder Engagement: Strong communication skills to translate business objectives into technical deliverables and act as a liaison between technical teams and business stakeholders.

As a skilled professional in Datasphere, you will be responsible for designing and implementing complex dataflows. Your role will involve writing transformations using Python scripts, creating views, and making them accessible for consumption in SAP Analytics Cloud. Additionally, you will work on consuming HDI containers within Datasphere and exposing Datasphere models to AI algorithms and third-party tools. To excel in this role, you must have experience in integrating Datasphere with S4HANA system and SAP Analytics Cloud. A minimum of 5-6 years of experience in SAP BWonHANA/BW4HANA is required. Furthermore, you should possess at least 1-2 years of working experience on SAP DSP to effectively contribute to the team and projects. Your expertise in these areas will be crucial in driving the success of data-related projects and ensuring seamless integration with various systems and tools.,

As a Lead Technical Architect with a focus on AI/ML technologies, you will leverage your 14+ years of experience in software development and architecture to drive innovation and lead the design of cutting-edge AI projects for a key client. You will collaborate with industry experts, provide strategic technical direction, and ensure architectural consistency, scalability, and security across multiple teams. Your key responsibilities will include leading the design and development of large-scale AI projects, aligning technology strategies with business objectives, and driving the adoption of cutting-edge AI technologies and best practices. You will need to have a Bachelor's or Masters degree in Computer Science or related field, proficiency in languages such as Python, Java, C#, JavaScript, and strong knowledge of AI/ML frameworks and cloud platforms. Joining our team will offer you a dynamic and supportive work environment where your contributions will shape the future of AI technologies. You will have the opportunity to collaborate with industry experts, drive transformative projects, and enjoy competitive compensation and flexible work arrangements. If you are passionate about AI technologies and leadership, we encourage you to apply for this exciting opportunity.,

As an AI intern at BoticX Labs, you will have the opportunity to be at the forefront of cutting-edge technology. You will collaborate with a team of experts in AI, web development, frontend, and backend development. Your day-to-day responsibilities will include working closely with the AI team to develop innovative solutions for various projects. You will assist in the design and implementation of AI algorithms and models, as well as support the frontend development team in creating user-friendly interfaces for AI applications. Additionally, you will contribute to backend development tasks such as database management and server-side scripting. To excel in this role, you will need to conduct research and stay updated with the latest advancements in AI technology. Your active participation in team meetings and brainstorming sessions will be essential to generate new ideas and strategies. Furthermore, you may be required to take on additional tasks and projects as needed to support the overall goals of the company. This internship provides a unique opportunity to gain hands-on experience in the exciting field of AI within a dynamic and collaborative environment. Join us at BoticX Labs and be a part of shaping the future of technology. About Company: Boticx Labs LLP is an IT services and consulting company specializing in AI-based solutions. Operating in India and internationally in countries like Nepal and Mauritius, we focus on providing Intelligent Automation and RPA-based solutions.,

The company strongly believes in conducting business based on core values such as Inclusion, Innovation, Collaboration, and Wellness. These values guide the daily operations and ensure a cohesive global team approach with customers at the forefront. Prioritizing self-care, mutual support, and community engagement is central to our work ethos. As a Security Architect specializing in AI systems, data, and machine learning models, your responsibilities will include developing security architectures to safeguard data, ensure model integrity, and comply with regulations. You will conduct thorough research and threat modeling to identify vulnerabilities and risks associated with machine learning models and data. Establishing and upholding security standards, procedures, and guidelines pertaining to AI usage will be a key aspect of your role. Conducting security risk assessments for AI projects, pinpointing vulnerabilities in algorithms, data pipelines, and infrastructure, will be essential. You will evaluate data workflows for AI initiatives, focusing on aspects like data encryption, anonymization, and secure storage. Collaborating closely with AI/ML engineers, data scientists, and cybersecurity teams to embed security controls across the AI development lifecycle is crucial. Assessing third-party AI tools and vendors for security risks and compliance requirements is also part of your responsibilities. Implementing secure coding practices for AI models and conducting reviews to identify potential security risks like adversarial attacks or data poisoning will be vital. Staying abreast of the latest AI and cybersecurity trends to ensure ongoing protection against emerging threats is expected. Moreover, you will lead the development of novel algorithms and techniques to secure AI models, guaranteeing the integrity, confidentiality, and availability of AI systems. Your role will be instrumental in enhancing the security posture of AI initiatives within the organization. For further insights into our culture and community, please visit https://about.pypl.com/who-we-are/default.aspx. We are committed to fostering diversity and inclusion in our workforce. To explore opportunities that match your skills, we invite you to join our Talent Community. We acknowledge the challenges posed by the confidence gap and imposter syndrome and encourage all qualified candidates to apply without hesitation. REQ ID: R0122578,

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

Responsibilities: * Design, develop, test & maintain Python apps using FastAPI, Django REST API, PostgreSQL/Supabase. * Collaborate with cross-functional teams on automation projects with OpenAI, AWS & Redis. Work from home

As an AI & ML Instructor at ADaSci, you will be responsible for delivering comprehensive corporate training sessions to experienced professionals. Your deep expertise in artificial intelligence (AI), machine learning (ML), cloud platforms (Azure, AWS, GCP), data engineering, and MLOps will enable you to design engaging and informative training sessions that empower professionals to excel in their field. Your key responsibilities will include developing and delivering training sessions on AI, ML, and related topics, designing hands-on labs and practical exercises to enhance learning, customizing training materials to meet the specific needs of corporate clients, providing real-world examples and case studies to illustrate concepts, evaluating participants" progress, and staying updated on the latest trends in AI, ML, cloud computing, data engineering, and MLOps. To excel in this role, you should possess a graduate degree with 10+ years of experience, postgraduate degree with 5+ years of experience, or a PhD with 2+ years of experience. You should have proven experience as an instructor or trainer in AI, ML, data engineering, or related fields, deep knowledge of AI and ML algorithms, proficiency in cloud platforms, experience with MLOps, strong understanding of data engineering principles, and familiarity with system design and architecture. Preferred skills include hands-on experience with AI/ML frameworks (e.g., TensorFlow, PyTorch, scikit-learn), knowledge of containerization technologies like Docker, experience with big data technologies (e.g., Hadoop, Spark), and previous experience in corporate training or educational settings. Strong communication, presentation, problem-solving skills, and the ability to adapt training content for diverse audiences are essential for success in this role.,

As a Data Scientist at Mindcurv with 4+ years of experience, you will be responsible for delivering Data Science projects in the advanced analytics space. Your role involves driving business results through data-based insights, collaborating with stakeholders and functional/tech teams, and discovering solutions hidden in large datasets. You are expected to have experience working as a Data Scientist in the Marketing sector and ideally have delivered use cases for the Automotive industry. Your responsibilities will include identifying valuable data sources, supervising data preprocessing, analyzing information to discover trends, building machine learning models, and presenting insights using data visualization techniques. To excel in this role, you should have 3-5 years of experience in Analytics systems/program delivery with at least 2 implementations in Big Data or Advanced Analytics projects. Proficiency in Python is essential, and knowledge of R, Pyspark, and SQL is a plus. You should be familiar with various machine learning techniques, advanced statistical concepts, and have hands-on experience in GCP/AWS/Azure platforms. Additionally, you are expected to have experience with business intelligence tools like Tableau, ML frameworks, strong math skills, and excellent communication and presentation abilities. Your role will involve collaborating with Data engineering and product development teams to implement various AI algorithms and identify best-fit scenarios for business outcomes. Join Mindcurv to be part of a team of experts dedicated to redefining digital experiences and enabling sustainable business growth through data-driven solutions.,

As a Senior Specialist in Software Development (Artificial Intelligence) at Accelya, you will lead the design, development, and implementation of AI and machine learning solutions to tackle complex business challenges. Your expertise in AI algorithms, model development, and software engineering best practices will be crucial in working with cross-functional teams to deliver intelligent systems that optimize business operations and decision-making. Your responsibilities will include designing and developing AI-driven applications and platforms using machine learning, deep learning, and NLP techniques. You will lead the implementation of advanced algorithms for supervised and unsupervised learning, reinforcement learning, and computer vision. Additionally, you will develop scalable AI models, integrate them into software applications, and build APIs and microservices for deployment in cloud environments or on-premise systems. Collaboration with data scientists and data engineers will be essential in gathering, preprocessing, and analyzing large datasets. You will also implement feature engineering techniques to enhance the accuracy and performance of machine learning models. Regular evaluation of AI models using performance metrics and fine-tuning them for optimal accuracy will be part of your role. Furthermore, you will collaborate with business stakeholders to identify AI adoption opportunities, provide technical leadership and mentorship to junior team members, and stay updated with the latest AI trends and research to introduce innovative techniques to the team. Ensuring ethical compliance, security, and continuous improvement of AI systems will also be key aspects of your role. You should hold a Bachelor's degree in Computer Science, Data Science, Artificial Intelligence, or a related field, along with at least 5 years of experience in software development focusing on AI and machine learning. Proficiency in AI frameworks and libraries, programming languages such as Python, R, or Java, and cloud platforms for deploying AI models is required. Familiarity with Agile methodologies, data structures, and databases is essential. Preferred qualifications include a Master's or PhD in Artificial Intelligence or Machine Learning, experience with NLP techniques and computer vision technologies, and certifications in AI/ML or cloud platforms. Accelya is looking for individuals who are passionate about shaping the future of the air transport industry through innovative AI solutions. If you are ready to contribute your expertise and drive continuous improvement in AI systems, this role offers you the opportunity to make a significant impact in the industry.,

Develop Conversational Text AI platforms using modern LLM frameworks. Work across backend (Python, Node.js), frontend (JavaScript, HTML/CSS), databases, and AI/ML stacks. Required Candidate profile Proficient in Python, Node.js, JavaScript, HTML/CSS, AI/ML (LLMs, embeddings, prompt engineering), Redis, PostgreSQL, Cosmos DB, DevOps, CI/CD. Bachelor’s or Master’s in CS/related field.

As a Senior System Embedded Engineer at Omnipresent Robot Tech Pvt. Ltd., you will be a key player in our satellite-based Dfense project, focusing on solution integration, system design, and cross-functional management. You will have the opportunity to work in a startup culture that values creativity and innovation. Your responsibilities will include architecting onboard AI-based change detection systems, researching space-grade SoCs, FPGAs, and computing platforms, seamlessly integrating SoCs, sensors, AI algorithms, and embedded systems, implementing sensor fusion for enhanced data accuracy, optimizing AI models for real-time execution, analyzing power, thermal, and computational constraints, testing AI workloads on multiple platforms for efficiency, coordinating with developers, engineers, and AI specialists, ensuring compliance with space-grade standards, and managing timelines and cross-functional collaboration. To qualify for this role, you should have a Bachelors's degree in Computer Science/Engineering (Masters a plus), along with 5+ years of experience in AI-driven embedded systems and automation. Expertise in system architecture, space-grade SoCs, and real-time data processing is required. Proficiency in Python, C++, and embedded programming is essential, as well as knowledge of radiation-hardened electronics and aerospace standards. Strong analytical, problem-solving, and collaboration skills are also expected.,