847 Nlp Jobs - Page 4

As an LLM Engineer, your primary responsibility will be to develop, fine-tune, and deploy large-scale natural language models such as GPT, BERT, and similar transformer-based architectures. You will collaborate closely with data scientists, AI researchers, and software engineers to create cutting-edge language models that drive innovative solutions across various applications like chatbots, summarization, translation, and more. Your key responsibilities will include building and fine-tuning large language models to address specific business challenges, ensuring they meet performance standards. You will also be involved in curating, preprocessing, and augmenting datasets to enhance model training and generalization. Furthermore, deploying and managing LLMs in production environments using tools like Docker, Kubernetes, or cloud platforms will be part of your role. Post-deployment, you will continuously monitor model performance, striving to enhance accuracy, diminish bias, and optimize latency. It is imperative to stay updated with the latest NLP and transformer advancements, implementing state-of-the-art techniques to elevate model efficiency. Collaboration is crucial as you will work closely with cross-functional teams, including data engineers, front-end developers, and product managers, to deliver robust AI solutions. Developing mechanisms to make model outputs comprehensible to non-technical stakeholders is essential. You will also optimize large-scale models for efficient inference and scalability across distributed systems. To excel in this role, you are required to have a Bachelor's or Master's degree in Computer Science, Artificial Intelligence, Machine Learning, or a related field. Proficiency in Python, familiarity with libraries like TensorFlow, PyTorch, Hugging Face Transformers, and other NLP frameworks is essential. Hands-on experience with large-scale language models, NLP expertise, and proficiency in cloud environments are crucial. Additionally, strong communication skills, teamwork, and the ability to work in collaborative, fast-paced environments are vital for success. Preferred skills include knowledge of transformer-based models, LLM scaling strategies, contributions to the NLP research community, familiarity with prompt engineering, and an understanding of reinforcement learning techniques for enhancing LLM interaction quality.,

You will be responsible for functions, activities, and skills required for the analysis, design, coding, integration, testing, and maintenance of Intelligent Document Processing modules and systems. Your role will involve building NLP based solutions for query and document analysis, processing, information extraction, and document classification, as well as context-based information retrieval. Additionally, you will conduct research to advance the state-of-the-art Deep learning and NLP technologies. As an AI Intern at Xerox Holdings Corporation, you will work in Kochi, India, in a hybrid work mode with timings from 10 AM to 7 PM (IST). The ideal candidate for this role should have 6 months to 1 year of experience and hold a qualification of B. Tech /MCA /BCA. In this role, you will need proficiency and experience working in the technical area of Intelligent Document Processing, including Digitization, OCR/ICR/OMR, LLM, Classification Methodologies, Data Extraction Methodologies, ML, AI, NLP, and more. Experience in designing and developing highly scalable templates and training documents on IDP for efficient data extraction from semi/un-structured pdf or images is essential. Additionally, experience in Docker and flask APIs, Redis, and Celery is required. You will closely work with Solution Architects/Team leads, prepare technical design documents, and implement automated deployment. Understanding and practicing AGILE Methodologies, working as part of the Software Development Lifecycle (SDLC) using Code Management & Release Tools, and proficiency in working with Relational Databases and SQL Scripting are key aspects of this role. Clear understanding of Architecture and infra requirements and setup is necessary. Experience or proficiency in .NET (C#, VB, C++, Java) & Python development languages would be useful. This position offers an opportunity to contribute to the advancement of digital transformation, augmented reality, robotic process automation, additive manufacturing, Industrial Internet of Things, and cleantech at Xerox Holdings Corporation. If you are passionate about innovation and have the required technical skills and experience, we encourage you to apply for this exciting role. Learn more about Xerox at www.xerox.com and explore our commitment to diversity and inclusion.,

Genpact is a global professional services and solutions firm committed to delivering outcomes that shape the future. With a workforce of over 125,000 individuals spread across 30+ countries, we are driven by curiosity, entrepreneurial agility, and the desire to create lasting value for our clients. Our purpose, the relentless pursuit of a world that works better for people, empowers us to serve and transform leading enterprises, including the Fortune Global 500, leveraging our deep business and industry knowledge, digital operations services, and expertise in data, technology, and AI. We are currently seeking applications for the role of Assistant Vice President, Insurance Claims Operations. We are looking for an individual with extensive domain expertise in P&C Insurance - Claims and a proven track record in managing service delivery for large operations. As the Assistant Vice President, your responsibilities will include: - Managing large P&C Claims operations efficiently - Being accountable for managing clients and internal stakeholders, and collaborating with them to successfully handle operational delivery - Driving the achievement and surpassing of all internal and customer key metrics - Planning and leading employee engagement, rewards, and recognition initiatives to enhance performance and reduce attrition - Developing staff through leadership competency assessments, promoting training and career planning, coaching for career development, and providing input into hiring decisions - Monitoring cluster performance against established standards, providing performance feedback on supervisors, and ensuring alignment of processes to minimize revenue loss by coordinating with other units - Ensuring compliance with department, business unit, and regulatory agency standards and practices - Cultivating a culture of continuous risk assessment, mitigation, and effective customer communication - Reviewing E2E metrics, identifying risks and opportunities, owning the standard process design and control environment - Driving transformation projects, including operations, digital asset implementation, standard methodologies framework, case studies, and benchmarking to enhance process efficiency and effectiveness - Building impactful customer relationships, improving Net Promoter Score, maintaining an existing book of business, and driving revenue growth Qualifications we are looking for: Minimum Qualifications / Skills: - Non-Technical Graduate - Relevant industry experience primarily in managing Insurance Claims operations Preferred Qualifications / Skills: - In-depth E2E understanding of P&C Claims - Previous experience in managing Claims + Underwriting functions and knowledge of Canadian Insurance will be advantageous - Excellent operating skills in people management, client management, and other operational frameworks - Exceptional verbal and written communication and presentation skills, including the ability to prepare and present independently and confidently to senior leadership within Genpact and client organizations - Proven track record of leveraging lean Six Sigma framework for continuous performance improvement - Sound knowledge of various digital technologies in the market, such as RPA, AI, NLP, and ML, with experience in implementing one or more of these technologies being a plus - Exposure to systematically evaluating business opportunities and an ambitious attitude to build on existing capabilities - Strong cross-functional collaboration skills If you believe you possess the qualifications and skills we are looking for, we encourage you to apply for the position of Assistant Vice President, Insurance Claims Operations.,

As a seasoned fullstack developer, you will be responsible for leading the development of various products while leveraging your expertise in AI/ML and market & website analytics. Your role will be pivotal in the creation of intelligent platforms and driving data-informed decisions. You will lead the fullstack development of products, with a preference for utilizing technologies such as Node.js, React/Angular, and MongoDB/PostgreSQL. Additionally, your role will involve building and integrating AI-powered features like NLP, predictive analytics, and recommendation systems. Analyzing data from tools like Google Analytics, Mixpanel, and Amplitude will be crucial, along with developing dashboards and data visualizations to support marketing and product teams. Collaboration with designers, data engineers, and product managers will be essential to align technological developments with business strategies. You will take ownership of product performance and conversion metrics, conducting regular audits and implementing improvements based on evaluations of user behavior, funnels, and attribution data. To excel in this role, you must possess strong fullstack capabilities including JavaScript, Node.js, React/Angular, APIs, and databases. Practical experience in AI/ML frameworks such as Python, TensorFlow, and Hugging Face, along with proficiency in website analytics, user behavior tracking, and A/B testing, are required. Experience in building or integrating marketing analytics systems and the ability to generate meaningful insights from data for stakeholders are crucial aspects of this position. Knowledge of SEO, CRO, and performance optimization best practices will also be beneficial. In summary, this role offers an exciting opportunity for a skilled fullstack developer to contribute to the development of intelligent platforms, drive data-informed decisions, and collaborate with cross-functional teams to ensure alignment with business objectives.,

As a Senior Software Engineer (Java) and Architect in our innovative and fast-paced team, you will lead the design and implementation of creative solutions and innovative improvements in our platform. You will collaborate with data scientists on machine learning and NLP applications, enabling legal investigators and litigation professionals to efficiently filter millions of documents down to those most crucial to their case. Your primary responsibilities will include leading design and implementation projects that focus on enhancing the scalability and speed of existing NLP/ML components. You will also lead team efforts to improve the performance, testability, and scalability of the current software. Taking ownership of the DevOps process and collaborating effectively with team members and other teams will be crucial aspects of your role. The ideal candidate will possess extensive industry experience in software development using Java, along with a deep understanding of Elastic and Lucene. Experience in working with highly scalable data processing pipelines and DevOps practices is essential. Additionally, knowledge of Machine Learning and NLP would be considered a significant advantage. To qualify for this position, you should hold a B.S. in Computer Science and have a minimum of 7 years of industry experience in software development using Java. You should also have at least 7 years of experience in architecture and design of scalable Java solutions, along with 7 years of experience in DevOps. A minimum of 5 years of experience with Elastic and Lucene is also required. This job description is a reflection of the current requirements of the position. As duties and responsibilities evolve, the job description will be periodically reviewed and subject to potential amendments.,

At Oracle Cloud Infrastructure (OCI), the future of cloud computing for Enterprises is being shaped by a diverse team of creators and innovators. Acting with the speed and mentality of a start-up, we maintain the scale and customer-focus of the world's leading enterprise software company. Our values form the bedrock of OCI, guiding us towards achieving excellence. We are dedicated to equity, inclusion, and respect for all individuals. Committed to the greater good in both our products and actions, we prioritize continuous learning and personal growth opportunities. Within our team, we challenge each other to transcend past achievements and collectively build a better future. As part of the AI Data organization, you will engage with fascinating challenges at the convergence of artificial intelligence and cutting-edge cloud infrastructure. Our focus involves developing cloud services utilizing Large Language Models (LLMs) and other generative models to create synthetic data for various applications including text, speech, vision, and multi-modal scenarios. Additionally, we are establishing ML benchmarking standards and frameworks to ensure the highest quality across verticals such as Healthcare and Fusion. You will operate at the IC2/IC3 career level with the following responsibilities: - Design and construct world-class Generative AI Models in text, vision, and multimodal settings for generating synthetic data. - Research and implement cutting-edge techniques such as Fine-tuning and RLHF to align Generative models with specific problem domains. - Develop tools for data acquisition, cleaning, augmentation, model training, and visualization. - Evaluate and implement ML/Deep learning/GenAI models from research papers and other public resources. - Optimize models for production usage and assist in productizing generation scenarios. - Create production code for feature processing, model prediction, serving, and monitoring in real-time and batch scenarios. - Engage in the entire software lifecycle including development, testing, CI, and production operations. - Strike a balance between product feature development and production operational considerations. Minimum Qualifications for this role include: - Ph.D. degree or Masters degree or equivalent experience in computer science, artificial intelligence, machine learning, operations research, or related technical field. - 5+ years with Masters or 3+ years with PhD of applying machine learning to solve real-world problems in industry. - Proficiency in Python or R. - Proficiency with at least one deep learning library (Pytorch, Tensorflow, or Keras) for building and deploying DNN models in production. - Expertise in NLP, Transformers, Large Language Models, and hugging face library. Optimization of LLM training and serving. - Experience in statistical models, Machine Learning solutions, and large scale Deep learning model development and serving across different data domains. - Proficiency in traditional ML libraries like scikit-learn, statsmodels, and pandas. - Track record of delivering large-scale ML solutions for complex business challenges. - Experience in production operations and ensuring quality code deployment with the ability to troubleshoot issues effectively. - Strong communication skills for articulating technical ideas through verbal and written means. At Oracle, we are committed to fostering an inclusive workforce that values diverse perspectives and backgrounds. Our dedication to innovation is fueled by hearing every voice, inspiring us to surpass previous achievements. Operating with integrity for over 40 years, we collaborate with industry leaders across various sectors. We prioritize work-life balance through a competitive suite of employee benefits designed on the principles of fairness and consistency. Our comprehensive benefits package includes flexible medical, life insurance, and retirement options. Employees are encouraged to contribute to their communities through volunteer programs. We are devoted to integrating individuals with disabilities at all stages of the employment process. If you require accessibility assistance or accommodation due to a disability, please contact us at +1 888 404 2494, option one. Disclaimer: Oracle is an Equal Opportunity Employer in the United States.,

Optum is a global organization dedicated to improving health outcomes by leveraging technology to connect individuals with the care, pharmacy benefits, data, and resources necessary for optimal well-being. As part of our team, you will contribute to advancing health equity on a global scale while experiencing a culture that values diversity, inclusion, and professional growth opportunities. We invite you to join us in making a positive impact on the communities we serve through caring, connecting, and growing together. In this role, you will lead the development and implementation of advanced Natural Language Processing (NLP) models and other data-driven AI systems. Your responsibilities will include conducting thorough data analysis, designing intricate machine learning models, and algorithms to derive insights from both structured and unstructured data. Collaboration with cross-functional teams will be essential in deploying these models, monitoring outcomes, and making necessary adjustments based on performance metrics. You will be tasked with preparing detailed reports and technical papers outlining data analysis findings in a clear and concise manner for various stakeholders. Additionally, overseeing data extraction, validation, and summarization processes will be crucial, along with effectively communicating updates and insights to stakeholders in a timely fashion. Your ability to identify potential issues or discrepancies in data analysis or modeling, report them to relevant parties, and ensure prompt resolution will be key to success in this role. Furthermore, compliance with employment contract terms, company policies, and procedures is expected. This includes adhering to directives related to potential work location changes, team reassignments, shift modifications, flexible work benefits, and other business environment adjustments. The Company reserves the right to modify or revoke these policies and directives at its discretion. To qualify for this position, you should hold a degree in a field emphasizing data science or statistical techniques, such as Computer Science or Applied Mathematics, with a focus on Natural Language Processing. A minimum of 3-4 years of experience in Data Science specializing in Machine Learning and NLP is required. Proficiency in Python, R, SQL, and NLP libraries like NLTK, SpaCy, and BERT is essential. Strong communication skills, adaptability to varying shifts, and the ability to present complex data in different formats are also necessary. Leadership capabilities, meeting deadlines, problem-solving skills, and an analytical mindset are attributes that will be valued in this role. This position is based in Mumbai, Maharashtra, India.,

At EY, you will have the opportunity to shape a career that aligns with your unique qualities, leveraging our global reach, supportive environment, inclusive culture, and cutting-edge technology to empower you to reach your full potential. Your distinctive voice and perspective are essential in contributing to EY's continuous improvement. By joining us, you will not only create an exceptional journey for yourself but also contribute to building a better working world for all. As a Senior Developer with 3 to 5 years of overall experience and at least 3 years of relevant experience, you will assume the role of a Technical Lead specializing in Artificial Intelligence (AI) and Machine Learning (ML) solutions. Your responsibilities will include designing and implementing innovative solutions based on AI and ML technologies. In this role, you will lead a team of Junior Developers, providing guidance and expertise gained from your 3+ years of experience in service delivery. You will be tasked with designing technical specifications for projects involving AI, Machine Learning, Deep Learning, NLP, NLU, and NLG. Furthermore, you will contribute to the development of products and tools utilizing AI technologies to deliver high-value solutions. Your expertise will encompass a range of AI and ML techniques, including deep learning, computer vision, natural language processing, search algorithms, information retrieval, information extraction, probabilistic graphical models, and machine learning. Additionally, you will be responsible for implementing version control strategies and defining best practices for software development. To excel in this role, you must possess excellent computer skills, proficiency in Excel, PowerPoint, Word, and Outlook, as well as strong interpersonal and collaborative abilities. Your command of the English language, both verbal and written, will be crucial in effectively communicating and analyzing solutions to complex problems. Your key responsibilities will include creating technical designs for AI and ML projects, demonstrating a solid understanding of deep learning architectures and algorithms, and leveraging open-source libraries such as Keras, TensorFlow, and PyTorch. You will collaborate with business analysts and consultants to develop robust solutions, utilizing your expertise in data science and machine learning using Python and R. Moreover, your role will involve training and leading technical developers, designing applications using Microsoft technologies like ASP.Net, C#, HTML5, and MVC, leveraging cloud solutions such as Azure or AWS, and working with container technologies like Docker. Your ability to work effectively with global teams and build strong relationships with project stakeholders will be critical to your success. At EY, we are dedicated to building a better working world by creating long-term value for clients, fostering trust in the capital markets, and driving growth and transformation through data and technology. Join our diverse teams across 150 countries as we tackle complex global challenges with innovative solutions and a commitment to asking better questions to find new answers.,

Genpact is a global professional services and solutions firm with over 125,000 employees in more than 30 countries. We are driven by curiosity, entrepreneurial agility, and the desire to create lasting value for our clients, including Fortune Global 500 companies. Our purpose is the relentless pursuit of a world that works better for people, and we serve leading enterprises with deep business and industry knowledge, digital operations services, and expertise in data, technology, and AI. We are currently seeking applications for the role of Senior Principal Consultant, Research Data Scientist. The ideal candidate should have experience in Text Mining, Natural Language Processing (NLP) tools, Data sciences, Big Data, and algorithms. It is desirable to have full-cycle experience in at least one Large Scale Text Mining/NLP project, including creating a business use case, Text Analytics assessment/roadmap, Technology & Analytic Solutioning, Implementation, and Change Management. Experience in Hadoop, including development in the map-reduce framework, is also required. The Text Mining Scientist (TMS) will play a crucial role in bridging enterprise database teams and business/functional resources, translating business needs into techno-analytic problems and working with database teams to deliver large-scale text analytic solutions. The right candidate should have prior experience in developing text mining and NLP solutions using open-source tools. Responsibilities include developing transformative AI/ML solutions, managing project delivery, stakeholder/customer expectations, project documentation, project planning, and staying updated on industrial and academic developments in AI/ML with NLP/NLU applications. The role also involves conceptualizing, designing, building, and developing solution algorithms, interacting with clients to collect requirements, and conducting applied research on text analytics and machine learning projects. Qualifications we seek: Minimum Qualifications/Skills: - MS in Computer Science, Information systems, or Computer engineering - Systems Engineering experience with Text Mining/NLP tools, Data sciences, Big Data, and algorithms Technology: - Proficiency in Open Source Text Mining paradigms like NLTK, OpenNLP, OpenCalais, StanfordNLP, GATE, UIMA, Lucene, and cloud-based NLU tools such as DialogFlow, MS LUIS - Exposure to Statistical Toolkits like R, Weka, S-Plus, Matlab, SAS-Text Miner - Strong Core Java experience, Hadoop ecosystem, Python/R programming skills Methodology: - Solutioning & Consulting experience in verticals like BFSI, CPG - Solid foundation in AI Methodologies like ML, DL, NLP, Neural Networks - Understanding of NLP & Statistics concepts, applications like Sentiment Analysis, NLP, etc. Preferred Qualifications/Skills: Technology: - Expertise in NLP, NLU, Machine learning/Deep learning methods - UI development paradigms, Linux, Windows, GPU Experience, Spark, Scala - Deep learning frameworks like TensorFlow, Keras, Torch, Theano Methodology: - Social Network modeling paradigms - Text Analytics using NLP tools, Text analytics implementations This is a full-time position based in India-Noida. The candidate should have a Master's degree or equivalent education level. The job posting was on Oct 7, 2024, and the unposting date is ongoing. The primary skills required are digital, and the job category is full-time.,

The Conversational Designer - Conversational AI at IDFC First Bank is responsible for crafting natural, engaging, and human-like conversational experiences for AI-powered chatbots and voice assistants. In this role, you will design dialogues, intent flows, and interactions to enhance customer engagement and self-service. You will be involved in designing intuitive and user-friendly conversation flows for chatbots and voice assistants. This includes creating structured dialogues, intents, and responses that foster seamless human-AI interactions. Additionally, you will define the tone, language style, and personality of AI-driven conversations to maintain consistency across platforms. Collaboration is a key aspect of this role, as you will work closely with NLP engineers and AI teams to enhance intent recognition and chatbot accuracy. By analyzing user interactions, drop-off points, and feedback, you will optimize conversational design and develop guidelines for multi-turn dialogues, contextual memory, and fallback responses. Furthermore, you will collaborate with Product Managers, AI/ML teams, and UX Designers to improve conversational AI capabilities. Staying updated on best practices in Conversational AI, NLP trends, and user psychology is essential. You will also conduct tests and iterate on conversational designs based on real-world user interactions. To qualify for this role, you should have a Bachelor's degree in any relevant stream and at least 3 years of relevant experience. Post-graduation in any stream is also desirable.,

As a Senior Software Engineer specializing in Data Science, you are expected to bring 3 to 6 years of experience to the role. Your expertise will be crucial in driving our projects forward and achieving our goals. Working at our location in Airoli, Navi Mumbai, you will adhere to office hours from 11 AM to 8 PM across 5 days a week. Your primary responsibility will be to leverage your 3 years of experience as a Data Scientist and a minimum of 3 years of proficiency in Python programming to design, develop, and maintain Python-based applications with a focus on ML and AI. Additionally, you should possess at least 1+ years of experience in ML & NLP, 1.5 years of experience with LLMs and generative AI (GenAI), and 2 years of experience with any database. Your role will also involve deploying ML models/Python applications on Azure or AWS, and familiarity with LLMOps will be considered a plus. In this position, you will design and optimize ML/NLP models and integrate them into production systems. You will be responsible for implementing and fine-tuning LLMs and GenAI solutions for business applications, managing database structures to support ML applications and data pipelines, and deploying and monitoring ML models in cloud environments such as AWS/Azure. Collaboration is key in our work environment, and you will be expected to work closely with cross-functional teams to deliver effective solutions. Your ability to write clean, efficient, and well-documented code will be essential. Participation in code reviews, providing feedback, troubleshooting technical issues in production, and staying updated with emerging trends in ML, NLP, and GenAI are all vital aspects of this role.,

You should have a Bachelors/Masters degree in computer science or engineering with a focus on language processing. With at least 7+ years of experience, you should have exposure to NLP and relevant projects. It is essential to have experience with AI/ML platforms, frameworks, and libraries, along with knowledge in relevant programming languages, development tools, and databases. Proficiency in programming in Python, Pytorch, and tensorflow is required. Your role will involve understanding NLP techniques for text representation, semantic extraction techniques, data structures, and modeling. You should be capable of writing and building components to integrate into new or existing systems. Documentation experience for complex software components is necessary. Experience in implementing the product lifecycle - design, development, quality, deployment, and maintenance is expected. A strong background in machine learning, operations, automation, features, data, ML, ops, performance, management, and stores is essential for this role. You should be able to convert a business problem into a data-driven ML solution, develop, manage, and architect ML and advanced analytics models. Additionally, you should examine data from multiple sources and share insights. You should be ready to work within a collaborative environment with teams and possess creative thinking skills for identifying new opportunities.,

As an American technology company that is currently expanding its range of technology offerings for enterprise customers, you will be responsible for designing, coding, testing, debugging, and documenting software according to the company's systems quality standards, policies, and procedures. Your role will involve analyzing business needs and creating software solutions, as well as preparing design documentation and test data for various testing phases. In this position, you will evaluate and recommend software and hardware solutions to meet user needs, resolve customer issues with software solutions, and respond to suggestions for improvements and enhancements. Collaborating with business and development teams to clarify requirements for testability will be a crucial aspect of your responsibilities. You will also draft, revise, and maintain test plans, test cases, and automated test scripts, and execute test procedures according to software requirements specifications. Additionally, you will play a key role in planning, conducting, and leading assignments that may involve moderate to high budgets or multiple projects. Managing user expectations regarding milestones and deadlines, providing training, assigning work, and checking the work of less experienced developers will also be part of your responsibilities. As a technical consultant to leaders in the IT organization and functional user groups, you will be expected to be a subject matter expert in one or more technical programming specialties. Your primary skills in AI/Client, NLP, LLM, Oracle, Cloud, and DevOps (CI CD) will be essential for success in this role. Secondary skills in Python, HTML, CSS, and JS (Angular/React/node) will also be beneficial. If you are interested in this opportunity, we encourage you to respond by submitting your updated resume. For more job opportunities, please visit Jobs In India - VARITE. At VARITE, we value diversity and are committed to being an Equal Opportunity Employer. If this opportunity is not suitable for you, we invite you to share it with your network. VARITE offers a Candidate Referral program where you can earn a one-time referral bonus based on the candidate's experience level if they complete a three-month assignment with VARITE. Join VARITE, a global staffing and IT consulting company that provides technical consulting and team augmentation services to Fortune 500 Companies in the USA, UK, Canada, and India. We are proud to be a primary and direct vendor to leading corporations in various sectors such as Networking, Cloud Infrastructure, Hardware and Software, Digital Marketing and Media Solutions, Clinical Diagnostics, Utilities, Gaming and Entertainment, and Financial Services. Unlock Rewards: Refer Candidates and Earn.,

AI/ML Engineer (Specializing in NLP/ML, Large Data Processing, and Generative AI) Job Summary Synechron seeks a highly skilled AI/ML Engineer specializing in Natural Language Processing (NLP), Large Language Models (LLMs), Foundation Models (FMs), and Generative AI (GenAI). The successful candidate will design, develop, and deploy advanced AI solutions, contributing to innovative projects that transform monolithic systems into scalable microservices integrated with leading cloud platforms such as Azure, Amazon Bedrock, and Google Gemini. This role plays a critical part in advancing Synechrons capabilities in cutting-edge AI technologies, enabling impactful business insights and product innovations. Software Requirements Required Proficiency: Python (core libraries: TensorFlow, PyTorch, Hugging Face transformers, etc.) Cloud platforms: Azure, AWS, Google Cloud (familiarity with AI/ML services) Containerization: Docker, Kubernetes Version control: Git Data management tools: SQL, NoSQL databases (e.g., MongoDB) Model deployment and MLOps tools: MLflow, CI/CD pipelines, monitoring tools Preferred Skills: Experience with cloud-native AI frameworks and SDKs Familiarity with AutoML tools Additional programming languages (e.g., Java, Scala) Overall Responsibilities Design, develop, and optimize NLP models, including advanced LLMs and Foundation Models, for diverse business use cases. Lead the development of large data pipelines for training, fine-tuning, and deploying models on big data platforms. Architect, implement, and maintain scalable AI solutions in line with MLOps best practices. Transition legacy monolithic AI systems into modular, microservices-based architectures for scalability and maintainability. Build end-to-end AI applications from scratch, including data ingestion, model training, deployment, and integration. Implement retrieval-augmented generation techniques for enhanced context understanding and response accuracy. Conduct thorough testing, validation, and debugging of AI/ML models and pipelines. Collaborate with cross-functional teams to embed AI capabilities into customer-facing and enterprise products. Support ongoing maintenance, monitoring, and scaling of deployed AI systems. Document system designs, workflows, and deployment procedures for compliance and knowledge sharing. Performance Outcomes: Production-ready AI solutions delivering high accuracy and efficiency. Robust data pipelines supporting training and inference at scale. Seamless integration of AI models with cloud infrastructure. Effective collaboration leading to innovative AI product deployment. Technical Skills (By Category) Programming Languages: Essential: Python (TensorFlow, PyTorch, Hugging Face, etc.) Preferred: Java, Scala Databases/Data Management: SQL (PostgreSQL, MySQL), NoSQL (MongoDB, DynamoDB) Cloud Technologies: Azure AI, AWS SageMaker, Bedrock, Google Cloud Vertex AI, Gemini Frameworks and Libraries: Transformers, Keras, scikit-learn, XGBoost, Hugging Face engines Development Tools & Methodologies: Docker, Kubernetes, Git, CI/CD pipelines (Jenkins, Azure DevOps) Security & Compliance: Knowledge of data security standards and privacy policies (GDPR, HIPAA as applicable) Experience Requirements 8 to 10 years of hands-on experience in AI/ML development, especially NLP and Generative AI. Demonstrated expertise in designing, fine-tuning, and deploying LLMs, FMs, and GenAI solutions. Proven ability to develop end-to-end AI applications within cloud environments. Experience transforming monolithic architectures into scalable microservices. Strong background with big data processing pipelines. Prior experience working with cloud-native AI tools and frameworks. Industry experience in finance, healthcare, or technology sectors is advantageous. Alternative Experience: Candidates with extensive research or academic experience in AI/ML, especially in NLP and large-scale data processing, are eligible if they have practical deployment experience. Day-to-Day Activities Develop and optimize sophisticated NLP/GenAI models fulfilling business requirements. Lead data pipeline construction for training and inference workflows. Collaborate with data engineers, architects, and product teams to ensure scalable deployment. Conduct model testing, validation, and performance tuning. Implement and monitor model deployment pipelines, troubleshoot issues, and improve system robustness. Document models, pipelines, and deployment procedures for audit and knowledge sharing. Stay updated with emerging AI/ML trends, integrating best practices into projects. Present findings, progress updates, and technical guidance to stakeholders. Qualifications Bachelors degree in Computer Science, Data Science, or related field; Masters or PhD preferred. Certifications in AI/ML, Cloud (e.g., AWS, Azure, Google Cloud), or Data Engineering are a plus. Proven professional experience with advanced NLP and Generative AI solutions. Commitment to continuous learning to keep pace with rapidly evolving AI technologies. Professional Competencies Strong analytical and problem-solving capabilities. Excellent communication skills, capable of translating complex technical concepts. Collaborative team player with experience working across global teams. Adaptability to rapidly changing project scopes and emerging AI trends. Innovation-driven mindset with a focus on delivering impactful solutions. Time management skills to prioritize and manage multiple projects effectively.

Hiring for multiple opportunities for candidates with experience into Data science/ ML/ NLP/ LLM/ responsible AI/ Gen AI Role: Data scientist/ responsible AI/ NLP/ LLM Location: Mutiple / PAN india Mode: hybrid Minimum 12 year(s) of experience is required Educational Qualification : 15 years full time education Summary: Roles & Responsibilities: - Expected to be a SME with deep knowledge and experience. - Should have Influencing and Advisory skills. - Responsible for team decisions. - Engage with multiple teams and contribute on key decisions. - Expected to provide solutions to problems that apply across multiple teams. - Develop and implement responsible AI frameworks. - Conduct audits and assessments of AI systems for ethical compliance. - Collaborate with cross-functional teams to ensure responsible AI practices are integrated. Professional & Technical Skills: - Strong understanding of statistical analysis and machine learning algorithms. - Experience with data visualization tools such as Tableau or Power BI. - Hands-on implementing various machine learning algorithms such as linear regression, logistic regression, decision trees, and clustering algorithms. - Solid grasp of data munging techniques, including data cleaning, transformation, and normalization to ensure data quality and integrity. Additional Information: - The candidate should have a minimum of 15 years of experience in Responsible AI. - A 15 years full-time education is required.

Are you passionate about driving strategic business decisions , optimising operations , and leveraging automation to scale efficiency? Do you thrive in high-growth, data-driven environments where innovation and process excellence are key? If so, Tracxn is looking for a dynamic leader to join our team! Location : Bangalore, India Job Type : Full-time Work From Office About Tracxn Tracxn is a leading market intelligence platform, tracking the worlds most innovative startups and private companies. Our insights help top VCs, PE firms, and Fortune 500 companies make data-backed decisions. As we continue to expand, we are looking for a highly motivated AVP Business Strategy & Operations to drive operational excellence within our Data Team. Your Role & Impact As AVP Business Strategy and Operations (DATA) at Tracxn, you will play a critical role in driving data-led business strategies, optimizing large-scale data operations, and accelerating automation to enhance operational efficiency. This role requires a deep understanding of data management, workflow automation, and process excellence, coupled with strong business acumen to drive scalable and data-driven growth. You will collaborate with cross-functional teams to streamline data operations, introduce automation-led efficiencies, and optimize data processing models to support Tracxns business objectives. Business Strategy & Process Optimization Design and implement scalable business strategies to enhance operational efficiency and optimize large-scale data operations. Identify key process bottlenecks and develop strategies to reduce manual effort, ensuring faster and more accurate data processing. Streamline end-to-end data workflows, ensuring data quality, efficiency, and consistency across all operations. Work closely with leadership to align operational processes with business objectives, driving improved outcomes. Continuously monitor and optimize data processing workflows to support rapid scalability and business growth. Data Operations & Automation Strategy Lead large-scale data operations by designing automation frameworks to reduce human intervention and improve data processing efficiency. Build and optimize workflows that combine LLMs, APIs, scraping, and human supervision to extract, clean, enrich, and validate private company data. Collaborate with Tech, Product, and Data Science teams to introduce AI/ML-driven data collection, enrichment, and processing solutions. Implement workflow automation to streamline repetitive tasks and minimize manual dependencies. Enhance data processing accuracy and speed by integrating robust automation solutions into data operations. Ensure the development of scalable data operations models that can support business growth while minimizing operational costs. Data-Driven Decision Making & Insights Develop and implement real-time operational performance dashboards to monitor key data metrics, productivity, and output efficiency. Provide leadership with actionable insights for decision-making. Monitor data processing trends, workflow performance, and operational efficiency to identify areas of improvement. Collaborate with business, product, and technology teams to turn data insights into operational improvements that drive scalability. Ensure that measurable KPIs back all data operations and workflows to track effectiveness and continuous improvement. Automation & Technology Integration Partner with Tech and Product teams to drive AI-led automation solutions for data collection, processing, and enrichment. Optimize data pipelines by integrating data ingestion, processing, and delivery automation using scalable technologies. Identify and implement advanced workflow automation tools to reduce operational friction and boost productivity. Ensure seamless integration of data collection, enrichment, and delivery pipelines to support Tracxns data intelligence platform. Continuously evaluate and implement new-age technologies to optimize data operations and minimize turnaround times. Leadership & Cross-Functional Collaboration Lead and mentor a high-performance team focused on business strategy, data operations, and automation excellence. Drive close collaboration with Engineering, Product, and Sales teams to ensure seamless data flow and operational efficiency. Foster a culture of continuous improvement, operational excellence, and automation-first approach within the data operations team. Serve as a strategic advisor to the leadership team on optimizing data operations and driving business scalability. Promote cross-functional alignment to drive data-led business growth, process efficiency, and cost reduction. What Success Looks Like in This Role Achieving operational scalability by significantly reducing manual interventions through automation. Enhancing data processing accuracy, speed, and output quality to support business growth. Driving measurable improvements in data operations efficiency, process standardisation, and turnaround times. Collaborating with Tech, Product, and Business teams to deliver data-driven business insights that drive strategic growth. Establishing Tracxns data operations as a benchmark for efficiency, scalability, and process automation. What Were Looking For Up to 10 years of experience in business strategy, operations, or process automation. Strong understanding of how LLMs, NLP, scraping, and ML models can be applied to automate data workflows. Ability to drive scalable process improvements in a data-driven environment. Excellent problem-solving, analytical, and stakeholder management skills. Familiarity with data tools, automation platforms, and analytics dashboards (not mandatory but a plus). Why Join Tracxn? Lead strategic business initiatives in a high-impact, data-first organization. Drive automation and operational transformation at scale. Be part of a fast-growing, tech-driven company. Competitive compensation & fast career growth opportunities.

You are a highly skilled and motivated Lead Data Scientist / Machine Learning Engineer sought to join a team pivotal in the development of a cutting-edge reporting platform. This platform is designed to measure and optimize online marketing campaigns effectively. Your role will involve focusing on data engineering, ML model lifecycle, and cloud-native technologies. You will be responsible for designing, building, and maintaining scalable ELT pipelines, ensuring high data quality, integrity, and governance. Additionally, you will develop and validate predictive and prescriptive ML models to enhance marketing campaign measurement and optimization. Experimenting with different algorithms and leveraging various models will be crucial in driving insights and recommendations. Furthermore, you will deploy and monitor ML models in production and implement CI/CD pipelines for seamless updates and retraining. You will work closely with data analysts, marketing teams, and software engineers to align ML and data solutions with business objectives. Translating complex model insights into actionable business recommendations and presenting findings to stakeholders will also be part of your responsibilities. Qualifications & Skills: Educational Qualifications: - Bachelors or Masters degree in Computer Science, Data Science, Machine Learning, Artificial Intelligence, Statistics, or related field. - Certifications in Google Cloud (Professional Data Engineer, ML Engineer) is a plus. Must-Have Skills: - Experience: 5-10 years with the mentioned skillset & relevant hands-on experience. - Data Engineering: Experience with ETL/ELT pipelines, data ingestion, transformation, and orchestration (Airflow, Dataflow, Composer). - ML Model Development: Strong grasp of statistical modeling, supervised/unsupervised learning, time-series forecasting, and NLP. - Programming: Proficiency in Python (Pandas, NumPy, Scikit-learn, TensorFlow/PyTorch) and SQL for large-scale data processing. - Cloud & Infrastructure: Expertise in GCP (BigQuery, Vertex AI, Dataflow, Pub/Sub, Cloud Storage) or equivalent cloud platforms. - MLOps & Deployment: Hands-on experience with CI/CD pipelines, model monitoring, and version control (MLflow, Kubeflow, Vertex AI, or similar tools). - Data Warehousing & Real-time Processing: Strong knowledge of modern data platforms for batch and streaming data processing. Nice-to-Have Skills: - Experience with Graph ML, reinforcement learning, or causal inference modeling. - Working knowledge of BI tools (Looker, Tableau, Power BI) for integrating ML insights into dashboards. - Familiarity with marketing analytics, attribution modeling, and A/B testing methodologies. - Experience with distributed computing frameworks (Spark, Dask, Ray). Location: - Bengaluru Brand: - Merkle Time Type: - Full time Contract Type: - Permanent,

Phonologies, a leading provider of speech technology and voice bots in India, is seeking individuals to join the team and revolutionize the delivery of conversational AI and voice bots over the phone. Our innovative solutions are seamlessly integrated with top contact center providers, telephony systems, and CRM systems. We are on the lookout for dynamic and skilled specialists to contribute to the development of our cutting-edge customer interaction solutions. As part of our team, you will be involved in developing and implementing machine learning models for real-world applications. Ideal candidates should possess a minimum of 5 years of experience and demonstrate proficiency in Python, scikit-learn, as well as familiarity with tools such as MLFlow, Airflow, and Docker. You will collaborate with engineering and product teams to create and manage ML pipelines, monitor model performance, and uphold ethical and explainable AI practices. Essential skills for this role include strong capabilities in feature engineering, ownership of the model lifecycle, and effective communication. Please note that recent graduates will not be considered for this position. In our welcoming and professional work environment, your role will offer both challenges and opportunities for growth. The position will be based in Pune. If you believe your qualifications align with our requirements, we encourage you to submit your resume (in .pdf format) to Careers@Phonologies.com. Additionally, kindly include a brief introduction about yourself in the email. We are excited to learn more about you and potentially welcome you to our team!,

You will be part of our Data Engineering Team in Gurgaon, Noida, or Pune, contributing to the development and management of large enterprise data and analytics platforms. Your role will involve collaborating with the data engineering and data science teams to implement scalable data lakes, data ingestion platforms, machine learning analytics platforms, and more. With at least 3 years of industry experience, you will be responsible for creating end-to-end data solutions and optimal data processing pipelines for handling large volumes of diverse data types. Proficiency in Python, including knowledge of design patterns and strong design skills, is essential. You should have expertise in working with PySpark Dataframes, Pandas Dataframes, and developing efficient data manipulation tasks. Experience in building Restful web services, API platforms, SQL, NoSQL databases, and stream-processing systems like Spark-Streaming and Kafka will be crucial. You will collaborate with the data science and infrastructure teams to deploy machine learning solutions in production environments. It would be advantageous if you have experience with testing libraries like pytest, knowledge of Dockers, Kubernetes, model versioning with mlflow, and microservices libraries. Familiarity with machine learning algorithms and libraries is a plus. Our ideal candidate is proactive, independent, and enjoys problem-solving. Continuous learning is encouraged as we are a rapidly growing company. Being a team player and an effective communicator is essential for success in this role.,

You will be responsible for designing and developing scalable AI and machine learning models to address complex business challenges. Your role will involve leading end-to-end model development, including data collection, preprocessing, training, validation, deployment, and monitoring. Collaboration with cross-functional teams, such as data engineers, software developers, and product managers, will be crucial. Additionally, you will optimize existing AI models for enhanced performance and accuracy. It is essential that you stay informed about the latest research and trends in AI/ML and assess their relevance to company products. Documenting processes, models, and code to facilitate knowledge sharing and reproducibility will be part of your responsibilities. Moreover, you will mentor junior team members and foster a culture of innovation. To qualify for this position, you should possess a Bachelor's or Master's degree in Computer Science, Data Science, Engineering, or a related field. You must have at least 5 years of experience in AI/ML, data science, or related roles. Proficiency in Python and ML frameworks like TensorFlow, PyTorch, and scikit-learn is required. A solid grasp of machine learning algorithms, data structures, and software engineering principles is essential. Experience with cloud platforms such as AWS, Azure, or GCP, as well as familiarity with MLOps tools, is preferred. Hands-on experience in NLP, computer vision, or deep learning applications is a plus. Strong problem-solving and analytical skills, along with excellent communication and collaboration abilities, are necessary for this role. While a PhD in an AI/ML-related field is not mandatory, it would be advantageous. Experience in deploying models in production environments using CI/CD pipelines is a plus. Any contributions to open-source AI/ML projects or publications in esteemed journals/conferences will be highly regarded. Please note that the above description is referenced from hirist.tech.,

You will be joining a company that is renowned for its technical excellence and leading innovations. NTT DATA is committed to making a difference to clients and society while embracing diversity and inclusion in the workplace. It is a place where you can grow, belong, and thrive. As a Senior AI/GenAI Engineer at NTT DATA, your key responsibilities will include designing, developing, and deploying cutting-edge AI/GenAI models and solutions for various industries. You will utilize technologies such as TensorFlow, PyTorch, LangChain, Vellum, etc., on non-cloud infrastructure. Your role will involve leading the development and integration of agentic AI systems, designing vector databases for efficient similarity search in AI applications, providing technical guidance to junior team members, ensuring security of LLMs, engaging with clients to understand their AI requirements, developing tailored solutions, and more. Requirements for this role include a Bachelor's or Master's degree in Computer Science, AI, ML, or related fields, along with 8+ years of experience in engineering solutions and delivering AI solutions. You should have advanced proficiency in AI/GenAI technologies, experience with vector databases and similarity search algorithms, strong programming skills in languages like Python or R, excellent communication and interpersonal skills, and strong problem-solving abilities. It is preferred that you have experience with containerization (Docker) and orchestration (Kubernetes), as well as experience with ReactJS for rapid prototyping. The position is available in Delhi or Bangalore, with a hybrid working model. NTT DATA is a global innovator of business and technology services, serving 75% of the Fortune Global 100. The company is committed to helping clients innovate, optimize, and transform for long-term success. NTT DATA invests over $3.6 billion each year in R&D and offers services including business and technology consulting, data and artificial intelligence, industry solutions, as well as the development, implementation, and management of applications, infrastructure, and connectivity. NTT DATA is an Equal Opportunity Employer and part of the NTT Group headquartered in Tokyo.,

You are a strategic thinker passionate about driving solutions in financial analysis. You have found the right team. As a Quant Analytics Analyst within the Analytics Team, you will leverage your expertise in tools like SAS, SQL, Python, and Alteryx to deliver complex analytical projects. You will build statistical models, deploy them, and generate impactful insights with measurable P&L impact. You will collaborate with finance, marketing, technology, and business teams to present clear and concise results and recommendations. Experience in retail finance or Credit card finance within a bank is a big plus. You will perform detailed quantitative analysis and data deep dive to answer questions pertaining to key business objectives. You will create and maintain dashboards to track key business P&L metrics. Providing informative business financial information and coordinating business financial planning and budget management will be part of your responsibilities. Partnering effectively with finance, marketing, technology, and business teams is crucial. You will present results and recommendations clearly and concisely. Required qualifications, capabilities, and skills include excellent knowledge of SQL and the ability to write complex SQL queries. Experience in using data extraction and data analysis tools like SQL/Pyspark SQL/Alteryx/Python/SAS is necessary. A minimum of 3 years of experience working on analytical projects involving product analysis and statistical modeling is required. Good knowledge of statistical modeling techniques related to time series forecasting, regression (linear/logistic), ML models like XGBoost, and NLP is essential. Experience in building analytical dashboards using tools like Tableau, Quicksight, SAS Visual Analytics, Streamlit, etc., is preferred. Excellent communication (verbal and written) skills, proficiency in Microsoft Office (especially Excel), and a basic understanding of cloud ops on AWS are necessary. Preferred qualifications, capabilities, and skills include a Bachelor's degree in Engineering, with CFA/FRM/MBA (Finance) being an advantage but not mandatory.,

As an AI/ML Developer at our company in Meerut, you will utilize your 2 to 5 years of hands-on experience to design, build, and deploy machine learning models. Your main responsibilities will include developing models for various tasks like classification, regression, clustering, or NLP/computer vision. You will collaborate with cross-functional teams to understand business requirements and implement AI/ML solutions accordingly. Your expertise in Python libraries such as Pandas, NumPy, and Scikit-learn will be crucial in cleaning, preprocessing, and analyzing large datasets. Additionally, you will work with deep learning frameworks like TensorFlow, PyTorch, or Keras to fine-tune models for optimal performance, accuracy, and scalability. Developing APIs or services for model deployment and monitoring post-deployment performance will also be part of your responsibilities. To excel in this role, you should hold a Bachelors or Masters degree in Computer Science, Data Science, Engineering, or a related field. Your strong proficiency in Python and experience with ML algorithms and evaluation metrics will be essential. Exposure to deep learning frameworks and tools like Flask, FastAPI, Docker, or AWS SageMaker will be advantageous. Knowledge of SQL, NoSQL databases, version control tools like Git, and cloud platforms like AWS/GCP/Azure will also be beneficial. Keeping yourself updated with the latest advancements in AI/ML research and techniques is encouraged to contribute effectively to our projects. If you are passionate about leveraging AI and ML technologies to drive innovation and solve real-world problems, we invite you to join our dynamic team and make a meaningful impact in the field.,

Job Description As a Python Backend Engineer with exposure to AI engineering at Quantanite, you will be an integral part of our team responsible for building a scalable, cognitive data platform. Your role will involve designing and developing high-performance backend services using Python (FastAPI), developing RESTful APIs for data ingestion, transformation, and AI-based feature access, and collaborating closely with DevOps and data engineering teams to integrate backend services with Azure data pipelines and databases. Your primary responsibilities will include managing database schemas, writing complex SQL queries, and supporting ETL processes using Python-based tools. Additionally, you will be tasked with building secure, scalable, and production-ready services that adhere to best practices in logging, authentication, and observability. You will also implement background tasks and async event-driven workflows for data crawling and processing. In terms of AI engineering contributions, you will support the integration of AI models (NLP, summarization, information retrieval) within backend APIs. You will collaborate with the AI team to deploy lightweight inference pipelines using PyTorch, TensorFlow, or ONNX, and participate in training data pipeline design and minor model fine-tuning as needed for business logic. Furthermore, you will contribute to the testing, logging, and monitoring of AI agent behavior in production environments. To be successful in this role, you should have at least 3 years of experience in Python backend development, with a strong proficiency in FastAPI or equivalent frameworks. A solid understanding of RESTful API design, asynchronous programming, and web application architecture is essential. Additionally, you should demonstrate proficiency in working with relational databases (e.g., PostgreSQL, MS SQL Server) and Azure cloud services, as well as experience with ETL workflows, job scheduling, and data pipeline orchestration (Airflow, Prefect, etc.). Exposure to machine learning libraries (e.g., Scikit-learn, Transformers, OpenAI APIs) is a plus, along with familiarity with containerization (Docker), CI/CD practices, and performance tuning. A mindset of code quality, scalability, documentation, and collaboration is highly valued at Quantanite. If you are looking for a challenging yet rewarding opportunity to work in a collaborative environment with a focus on innovation and growth, we encourage you to apply to join our dynamic team at Quantanite.,

You are a talented and motivated Generative AI Data Scientist Lead sought by Accenture AI to join the Banking team. Leveraging your expertise in Generative AI models, Machine Learning, Data Analysis, and Cloud Platforms, you will drive and lead the development and delivery of innovative solutions to enhance AI capabilities. Collaborating with cross-functional teams, you will design, develop, and implement generative AI solutions to meet business needs. Your key responsibilities will include: - **Independent Project Leadership**: Taking ownership of end-to-end project delivery with minimal supervision. - **Pod Leadership**: Leading and mentoring a small development pod of data scientists and engineers to ensure collaboration and timely delivery of high-quality solutions. - **Model Development**: Designing, developing, and deploying state-of-the-art generative AI models for various applications. - **Strategy Development**: Providing strategic recommendations to clients on integrating generative AI into workflows. - **Ethical AI Practices**: Ensuring responsible use of generative AI by addressing biases and compliance with regulations. - **Performance Evaluation**: Developing metrics to assess generative models" performance. - **Collaboration**: Working closely with stakeholders to understand requirements and deliver impactful AI solutions. - **Research and Innovation**: Staying updated with advancements in generative AI and applying knowledge to improve models. - **Mentorship**: Guiding and mentoring junior team members to foster a culture of innovation and learning. You should possess: - **6+ years of experience** in Data Science, Machine Learning, or related fields with a focus on Generative AI models. - Proficiency in **Python programming** and experience with **machine learning frameworks** like TensorFlow, PyTorch. - Hands-on experience with **cloud platforms** (AWS, GCP, Azure) for deployment and solution building. - Ability to work with **Docker, Kubernetes, and API Development** for deploying generative AI models. - Strong analytical, problem-solving, and critical thinking skills. - Expertise in **ethical AI practices** and understanding of biases and regulations in Generative AI. - Excellent verbal and written communication skills to convey complex concepts clearly. Additional qualifications include experience in large-scale data processing, NLP, computer vision, contributions to open-source AI/ML projects, cloud integrations, and performance optimization. Leadership experience in guiding teams and managing AI projects is also desired. This position requires a **minimum of 6 years of experience** in Data Science, Machine Learning, or related fields, along with a **Masters or Ph.D.** in Computer Science, Data Science, Statistics, or a related field.,