39 Nlp Techniques Jobs

The U.S. Pharmacopeial Convention (USP) is an independent scientific organization collaborating with top health and science authorities to develop quality standards for medicines, dietary supplements, and food ingredients. With over 1,300 professionals across twenty global locations, USP's core value of Passion for Quality drives its mission to strengthen the supply of safe, quality medicines and supplements worldwide. USP values inclusivity and fosters opportunities for mentorship and professional growth. Emphasizing Diversity, Equity, Inclusion, and Belonging, USP aims to build a world where quality in health and healthcare is assured. The Digital & Innovation group at USP is seeking a Data Scientist proficient in advanced analytics, data visualization, and machine learning to work on innovative projects and deliver digital solutions. The ideal candidate will leverage data insights to create a unified experience across USP's ecosystem. In this role, you will contribute to USP's public health mission by increasing access to high-quality, safe medicine and improving global health through public standards and programs. Collaborate with data scientists, engineers, and IT teams to ensure project success, apply ML techniques for business impact, and communicate results effectively to diverse audiences. **Requirements:** **Education:** Bachelor's degree in relevant field (e.g., Engineering, Analytics, Data Science, Computer Science, Statistics) or equivalent experience. **Experience:** - Data Scientist: 3-6 years hands-on experience in data science, machine learning, statistics, and natural language processing. - Senior Data Scientist: 6-10 years hands-on experience in data science and advanced analytics. - Proficiency in Python packages and visualization tools, SQL, and CNN/RNN models. - Experience with data extraction, XML documents, and DOM model. **Additional Preferences:** - Master's degree in relevant fields. - Experience in scientific chemistry or life sciences. - Familiarity with pharmaceutical datasets and nomenclature. - Ability to translate stakeholder needs into technical outputs. - Strong communication skills and ability to explain technical issues to non-technical audiences. **Supervisory Responsibilities:** Non-supervisory position **Benefits:** USP offers comprehensive benefits for personal and financial well-being, including healthcare options and retirement savings. USP does not accept unsolicited resumes from third-party recruitment agencies. Job Type: Full-Time.,

The Business Analytics Int Analyst is a developing professional role with the autonomy to solve complex problems independently. You will utilize your in-depth specialty knowledge and industry understanding to integrate with the team and other functions effectively. Your analytical thinking and proficiency in data analysis tools will be crucial in making informed judgments and recommendations based on factual information. Your role will involve dealing with variable issues that may have broader business impacts, requiring professional judgment in interpreting data and results. You will also need to communicate complex information in a systematic and understandable manner, demonstrating developed communication and diplomacy skills. The quality and timeliness of the service you provide will directly impact the effectiveness of your team and other closely related teams. Responsibilities: - Gather operational data from various cross-functional stakeholders to analyze past business performance. - Identify data patterns and trends to provide insights that enhance business decision-making capabilities. - Recommend actions for future developments, strategic business opportunities, and operational policy enhancements. - Translate data into consumer or customer behavioral insights to drive targeting and segmentation strategies. - Continuously improve processes and strategies by evaluating new data sources, tools, and capabilities. - Collaborate with internal and external business partners to build, implement, track, and enhance decision strategies. - Assess risks appropriately when making business decisions, ensuring compliance with laws, rules, and regulations. Role Description: - The role of Spec Analytics Intmd Analyst (C11) in the TTS Analytics team. - Reporting to the AVP or VP leading the team. - Working on multiple analyses throughout the year on business problems across the client life cycle for the TTS business. - Leveraging various analytical approaches, tools, and techniques to provide data-driven insights to business partners. - Contributing to ideation on analytical projects to tackle strategic business priorities. - Embracing ambiguity and open-ended questions as a core part of the team's work. Qualifications: Experience: - Bachelor's Degree with 6-8 years or Master's Degree with 4-6 years of experience in data analytics, or a relevant PhD. - Substantial experience in identifying and resolving business problems, utilizing text data, developing analytical tools, applying predictive modeling techniques, and working with diverse data sources. Skills: Analytical Skills: - Strong logical reasoning and problem-solving ability. - Proficiency in converting business problems into analytical tasks and deriving business insights from analytical findings. - Ability to work hands-on with data from big data environments. Tools and Platforms: - Prior experience with Graph databases like Neo4j and Vector database. - Proficiency in Python, PySpark, Hive, MS Excel, and PowerPoint. - Experience with PySpark and Tableau is a plus.,

Description We are looking for an experienced NLP Engineer to join our dynamic team in India. The ideal candidate will have a strong background in natural language processing and machine learning, with a passion for building innovative solutions that leverage language data. Responsibilities Design and implement NLP models and algorithms for various applications. Collaborate with data scientists and software engineers to integrate NLP features into products. Conduct research on state-of-the-art NLP methods and apply them to solve real-world problems. Analyze large datasets to extract meaningful insights and improve model performance. Optimize and fine-tune models for better accuracy and efficiency. Skills and Qualifications 4-8 years of experience in Natural Language Processing or related fields. Strong programming skills in Python and familiarity with NLP libraries such as NLTK, spaCy, or Hugging Face Transformers. Experience with machine learning frameworks such as TensorFlow or PyTorch. Solid understanding of statistical analysis and data mining techniques. Knowledge of deep learning architectures for NLP, including RNNs, LSTMs, and Transformers. Experience in text preprocessing, feature extraction, and model evaluation metrics. Familiarity with cloud services (AWS, GCP, Azure) for deploying NLP solutions.

Join Amgen's Mission of Serving Patients At Amgen, you will be part of something bigger, driven by our shared mission to serve patients living with serious illnesses. Since 1980, Amgen has been a pioneer in the world of biotech, focusing on four therapeutic areas: Oncology, Inflammation, General Medicine, and Rare Disease, reaching millions of patients annually. As a member of the Amgen team, you will contribute to researching, manufacturing, and delivering innovative medicines that help people live longer, fuller, and happier lives. Our award-winning culture is collaborative, innovative, and science-based. If you are passionate about challenges and the opportunities they present, you will thrive as part of the Amgen team. Join us to make a lasting impact on patients" lives and transform your career. Data Scientist (US Value & Access Insights) In this vital role at Amgen, you will develop and deploy advanced machine learning, operational research, semantic analysis, and statistical methods to uncover structure in large data sets. Your responsibilities will include creating analytics solutions to address customer needs and opportunities. Roles & Responsibilities: - Ensuring that models are trained with the latest data and meet SLA expectations - Acting as a subject matter expert in solving development and commercial questions - Collaborating with a global cross-functional team on the AI tools roadmap - Working in technical teams on the development, deployment, and application of applied analytics, predictive analytics, and prescriptive analytics - Utilizing technical skills such as hypothesis testing, machine learning, and retrieval processes for statistical and data mining techniques - Performing exploratory and targeted data analyses using descriptive statistics and other methods - Collaborating with technical teams to translate business needs into technical specifications, focusing on AI-driven automation and insights - Developing and integrating custom applications, intelligent dashboards, and automated workflows incorporating AI capabilities to enhance decision-making and efficiency What We Expect Of You Basic Qualifications: - Masters degree with 1 to 3 years of computer science, statistics, or STEM majors with at least 1 year of Information Systems experience - Bachelors degree with 3 to 5 years of computer science, statistics, or STEM majors with at least 2 years of Information Systems experience - Diploma with 7 to 9 years of computer science, statistics, or STEM majors with at least 2 years of Information Systems experience - Experience with analytic software tools or languages like R and Python - Strong foundation in machine learning algorithms and techniques - Experience in statistical techniques, hypothesis testing, regression analysis, clustering, and classification Preferred Qualifications: - Experience in MLOps practices and tools (e.g., MLflow, Kubeflow, Airflow) - Proficiency in Python and relevant ML libraries (e.g., TensorFlow, PyTorch, Scikit-learn) - Outstanding analytical and problem-solving skills, ability to learn quickly, excellent communication and interpersonal skills - Experience with data engineering, pipeline development, NLP techniques for text analysis, sentiment analysis, time-series data analysis, forecasting, trend analysis, AWS, Azure, Google Cloud, Databricks platform for data analytics, and MLOps Professional Certifications: - Any AWS Developer certification (preferred) - Any Python and ML certification (preferred) Soft Skills: - Initiative to explore alternate technology and approaches to problem-solving - Skilled in breaking down problems, documenting problem statements, and estimating efforts - Excellent analytical and troubleshooting skills - Strong verbal and written communication skills - Ability to work effectively with global, virtual teams - High degree of initiative and self-motivation - Ability to manage multiple priorities successfully - Team-oriented, with a focus on achieving team goals What You Can Expect Of Us At Amgen, we support your professional and personal growth and well-being as we develop treatments to take care of others. We offer competitive benefits and a collaborative culture to support your journey every step of the way. Apply now for a career that defies imagination. Objects in your future are closer than they appear. Join us at careers.amgen.com. As an organization dedicated to improving the quality of life globally, Amgen fosters an inclusive environment of diverse, ethical, committed, and highly accomplished individuals who respect each other and live by Amgen values to advance science in serving patients. We ensure individuals with disabilities are provided reasonable accommodation throughout the job application process. Contact us to request accommodation.,

You are a Generative AI Software Engineer with over 3 years of experience, possessing strong expertise in Generative AI and Large Language Models (LLMs). Your role involves designing, developing, and implementing GenAI solutions customized to address various business challenges. It is crucial that you excel in Python programming and have hands-on experience in Retrieval-Augmented Generation (RAG) along with familiarity with Vector Databases. Your responsibilities include using Python to design and implement scalable GenAI solutions, leading the design and architecture of AI-driven solutions, working with Large Language Models (LLMs) for building customized solutions, and developing AI models that handle both text and speech data. You will also apply similarity search algorithms in vector space, leverage NLP techniques and LLMs to build conversational chatbots, and utilize vector databases for efficient data management in AI applications. Additionally, you will implement Retrieval-Augmented Generation (RAG) pipelines, develop ETL pipelines for data flow and preparation, conduct experiments and evaluations for optimal AI model performance, and ensure compliance with data privacy, security, and ethical standards. Your role also involves contributing to front-end development using React.js to build user interfaces for AI applications. It is essential that you are open to working in an agile and flexible environment, possess excellent presentation skills to engage with business users, and provide expert solutions to project issues for optimal service delivery and client satisfaction. Your willingness to learn new skills and technologies will be beneficial in this role.,

You should have a Master of Science in a relevant field such as Computer Science, Statistics, Mathematics, Engineering, or Data Science. Additionally, you should possess 1-3 years of experience applying machine learning techniques to solve complex data problems. It is important to have a strong knowledge of machine learning algorithms and statistical models, including supervised and unsupervised learning methods. Experience with data preprocessing, feature engineering, and data visualization techniques is required. Proficiency in Python programming and experience working with big data tools such as Spark are essential for this role. Your role will require excellent communication skills, with the ability to explain complex concepts to non-technical stakeholders. Strong problem-solving skills and attention to detail are also crucial. You should have experience with agile development methodologies and version control tools such as Git. Preferred qualifications for this position include experience working with natural language processing (NLP) techniques, familiarity with deep learning frameworks such as TensorFlow or PyTorch, and knowledge of cloud computing platforms such as AWS, GCP, or Azure. If you meet these requirements and possess the desired qualifications, we encourage you to apply for this position.,

Who We Are Wayfair is moving the world so that anyone can live in a home they love a journey enabled by more than 3,000 Wayfair engineers and a data-centric culture. Wayfairs Advertising business is rapidly expanding, adding hundreds of millions of dollars in profits to Wayfair. We are building Sponsored Products, Display & Video Ad offerings that cater to a variety of Advertiser goals while showing highly relevant and engaging Ads to millions of customers. We are evolving our Ads Platform to empower advertisers across all sophistication levels to grow their business on Wayfair at a strong, positive ROI and are leveraging state of the art Machine Learning techniques. The Advertising Optimization & Automation Science team is central to this effort. We leverage machine learning and generative AI to streamline campaign workflows, delivering impactful recommendations on budget allocation, target Return on Ad Spend (tROAS), and SKU selection. Additionally, we are developing intelligent systems for creative optimization and exploring agentic frameworks to further simplify and enhance advertiser interactions. We are looking for an experienced Senior Machine Learning Scientist to join the Advertising Optimization & Automation Science team. In this role, you will be responsible for building intelligent, ML-powered systems that drive personalized recommendations and campaign automation within Wayfairs advertising platform. You will work closely with other scientists, as well as members of our internal Product and Engineering teams, to apply your ML expertise to define and deliver 0-to-1 capabilities that unlock substantial commercial value and directly enhance advertiser outcomes. What Youll do Design and build intelligent budget, tROAS, and SKU recommendations, and simulation-driven decisioning that extends beyond the current advertising platform capabilities. Lead the next phase of GenAI-powered creative optimization and automation to drive significant incremental ad revenue and improve supplier outcomes. Raise technical standards across the team by promoting best practices in ML system design and development. Partner cross-functionally with Product, Engineering, and Sales to deliver scalable ML solutions that improve supplier campaign performance. Ensure systems are designed for reuse, extensibility, and long-term impact across multiple advertising workflows. Research and apply best practices in advertising science, GenAI applications in creative personalization, and auction modeling. Keep Wayfair at the forefront of innovation in supplier marketing optimization. Collaborate with Engineering teams (AdTech, ML Platform, Campaign Management) to build and scale the infrastructure needed for automated, intelligent advertising decisioning. We Are a Match Because You Have : Bachelor&aposs or Masters degree in Computer Science, Mathematics, Statistics, or related field. 9+ years of experience in building large scale machine learning algorithms. 4+ years of experience working in an architect or technical leadership position. Strong theoretical understanding of statistical models such as regression, clustering and ML algorithms such as decision trees, neural networks, transformers and NLP techniques. Proficiency in programming languages such as Python and relevant ML libraries (e.g., TensorFlow, PyTorch) to develop production-grade products. Strategic thinker with a customer-centric mindset and a desire for creative problem solving, looking to make a big impact in a growing organization. Demonstrated success influencing senior level stakeholders on strategic direction based on recommendations backed by in-depth analysis; Excellent written and verbal communication. Ability to partner cross-functionally to own and shape technical roadmaps Intellectual curiosity and a desire to always be learning! Nice to have Experience with GCP, Airflow, and containerization (Docker). Experience building scalable data processing pipelines with big data tools such as Hadoop, Hive, SQL, Spark, etc. Familiarity with Generative AI and agentic workflows. Experience in Bayesian Learning, Multi-armed Bandits, or Reinforcement Learning. About Wayfair Inc. Wayfair is one of the worlds largest online destinations for the home. Through our commitment to industry-leading technology and creative problem-solving, we are confident that Wayfair will be home to the most rewarding work of your career. If youre looking for rapid growth, constant learning, and dynamic challenges, then youll find that amazing career opportunities are knocking. No matter who you are, Wayfair is a place you can call home. Were a community of innovators, risk-takers, and trailblazers who celebrate our differences, and know that our unique perspectives make us stronger, smarter, and well-positioned for success. We value and rely on the collective voices of our employees, customers, community, and suppliers to help guide us as we build a better Wayfair and world for all. Every voice, every perspective matters. Thats why were proud to be an equal opportunity employer. We do not discriminate on the basis of race, color, ethnicity, ancestry, religion, sex, national origin, sexual orientation, age, citizenship status, marital status, disability, gender identity, gender expression, veteran status, genetic information, or any other legally protected characteristic. We are interested in retaining your data for a period of 12 months to consider you for suitable positions within Wayfair. Your personal data is processed in accordance with our Candidate Privacy Notice (which can found here: https://www.wayfair.com/careers/privacy). If you have any questions regarding our processing of your personal data, please contact us at [HIDDEN TEXT]. If you would rather not have us retain your data please contact us anytime at [HIDDEN TEXT]. Show more Show less

You will be joining our Data & AI practice as an Individual Contributor and Functional AI Decision Science Consultant at Level 9, with the opportunity to work in Gurgaon, Bangalore, Mumbai, or Hyderabad. As part of a global team of skilled professionals, you will utilize cutting-edge statistical tools and methodologies to deliver data-driven insights and solutions for our clients. Your primary responsibilities will include defining data requirements for Data Driven Growth Analytics, analyzing and interpreting data, and ensuring data quality. You will work on market sizing, lift ratio estimation, non-linear optimization techniques, statistical timeseries models, store clustering algorithms, and descriptive analytics to support merchandising AI capabilities. Additionally, you will develop AI/ML models using Azure ML tech stack, manage data pipelines, and leverage cloud platforms for deploying and scaling machine learning models. In this role, you will also be expected to manage client relationships, effectively communicate insights and recommendations, and contribute to capability building and thought leadership within the team. Your logical thinking and task management skills will be crucial to analyze data systematically and prioritize tasks efficiently. To be successful in this position, you should have a minimum of 4+ years of experience in Marketing analytics and 3+ years of experience in Data Driven Merchandizing. Proficiency in econometric/statistical modeling, Azure ML, SQL, R, Python, and PySpark is essential, along with a strong understanding of marketing data and business processes in the Retail and CPG industries. A Bachelor's or Master's degree in Statistics, Economics, Mathematics, Computer Science, or related fields is required, along with excellent academic credentials. Additionally, knowledge of tools like Excel, Word, and PowerPoint for communication and documentation will be beneficial in this role. If you are seeking a challenging opportunity to work with a dynamic team of professionals and make a significant impact in the field of Data & AI, we invite you to apply and join our team at Accenture.,

You have over 5 years of experience in building production-grade Neural Network models using Computer Vision or Natural Language Processing techniques. You possess a strong understanding of various machine learning techniques and algorithms, including k-NN, Naive Bayes, SVM, Decision Forests, and Neural Networks. Experience with Deep Learning frameworks like TensorFlow, PyTorch, and MxNet is part of your skillset. Proficiency in common data science toolkits such as R, Sklearn, NumPy, MatLab, and MLib is highly desirable. Additionally, you have solid applied statistics skills encompassing distributions, statistical testing, and regression. Your expertise extends to using query languages like SQL, Hive, Pig, and NoSQL databases. In this role, you will collaborate with Product Managers, Architects, and Engineering Leadership to conceptualize, strategize, and develop new products focused on AI/ML initiatives. You will be responsible for developing, driving, and executing the long-term vision and strategy for the Data Science team by engaging with multiple teams and stakeholders across the organization. Your tasks will involve architecting, designing, and implementing large-scale machine learning systems. Specifically, you will develop Neural Network models for information extraction from mortgage documents using Computer Vision and NLP techniques. Ad-hoc analysis and clear presentation of results to various audiences and key stakeholders will be part of your routine. You will also design experiments, test hypotheses, and build models while conducting advanced data analysis and highly complex algorithm designs. Applying advanced statistical, predictive, and machine learning modeling techniques to enhance multiple real-time decision systems will be a key aspect of your role. You will collaborate with development teams to deploy models in the production environment to support ML-driven product features. Furthermore, you will define business-specific performance metrics to assess model effectiveness and continuously monitor and enhance these metrics over time for models in a production environment. To qualify for this position, you should hold an M.S. in mathematics, statistics, computer science, or a related field, with a Ph.D. degree being preferred. You must have over 5 years of relevant quantitative and qualitative research and analytics experience. Excellent communication skills and the ability to effectively convey complex topics to a diverse audience are essential attributes for this role.,

You are a Gen AI Senior Software Engineer with over 5 years of experience, specializing in Generative AI and Large Language Models (LLMs). Your main responsibility is to design, develop, and implement GenAI solutions tailored to address business challenges, utilizing your expertise in Python for AI/ML solutions. Your key technical skills include proficiency in Python programming, hands-on experience in Retrieval-Augmented Generation (RAG) and familiarity with Vector Databases. It would be beneficial if you have experience in React.js and are open to learning new skills and technologies. In this role, you will be responsible for designing and implementing scalable GenAI solutions using Python, leading the architecture of AI-driven solutions, and developing customized solutions using Large Language Models (LLMs) for various applications. You will also create AI models for text and speech data, optimize AI model performance using similarity search algorithms, and build conversational chatbots using advanced NLP techniques. Furthermore, you will utilize vector databases to store and manage data for AI applications, implement Retrieval-Augmented Generation (RAG) pipelines, develop and maintain ETL pipelines for efficient data flow, and conduct experiments to evaluate AI model performance. You will also ensure that AI solutions comply with data privacy, security, and ethical standards while contributing to front-end development using React.js to create user-friendly interfaces for AI applications. Soft skills required for this role include adaptability to work in an agile environment, excellent presentation skills to engage with business users, and the ability to provide expert advice to resolve project issues and ensure client satisfaction.,

The ideal candidate for this position should have previous experience in building data science/algorithms based products, which would be a significant advantage. Experience in handling healthcare data is also desired. An educational qualification of Bachelors/Masters in computer science/Data Science or related subjects from a reputable institution is required. With a typical experience of 7-9 years in the industry, the candidate should have a strong background in developing data science models and solutions. The ability to quickly adapt to new programming languages, technologies, and frameworks is essential. A deep understanding of data structures and algorithms is necessary. The candidate should also have a proven track record of implementing end-to-end data science modeling projects and providing guidance and thought leadership to the team. Experience in a consulting environment with a hands-on attitude is preferred. As a Data Science Lead, the primary responsibility will be to lead a team of analysts, data scientists, and engineers to deliver end-to-end solutions for pharmaceutical clients. The candidate is expected to participate in client proposal discussions with senior stakeholders and provide technical thought leadership. Expertise in all phases of model development, including exploratory data analysis, hypothesis testing, feature creation, dimension reduction, model training, selection, validation, and deployment, is required. A deep understanding of statistical and machine learning methods such as logistic regression, SVM, decision tree, random forest, neural network, and regression is essential. Mathematical knowledge of correlation/causation, classification, recommenders, probability, stochastic processes, NLP, and their practical implementation to solve business problems is necessary. The candidate should also be able to implement ML models in an optimized and sustainable framework and gain business understanding in the healthcare domain to develop relevant analytics use cases. In terms of technical skills, the candidate should have expert-level proficiency in programming languages like Python/SQL, along with working knowledge of relational SQL and NoSQL databases such as Postgres and Redshift. Extensive knowledge of predictive and machine learning models, NLP techniques, deep learning, and unsupervised learning is required. Familiarity with data structures, pre-processing, feature engineering, sampling techniques, and statistical analysis is important. Exposure to open-source tools, cloud platforms like AWS and Azure, and AI tools like LLM models and visualization tools like Tableau and PowerBI is preferred. If you do not meet every job requirement, the company encourages candidates to apply anyway, as they are dedicated to building a diverse, inclusive, and authentic workplace. Your excitement for the role and potential fit may make you the right candidate for this position or others within the company.,

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.,

As an AI Development and Integration specialist, you will be responsible for developing and optimizing AI solutions using tools like Claude.ai, Perplexity.ai, and other Anthropics-powered systems. Your primary focus will be on building and integrating AI-driven features into EdTech platforms to enhance adaptive learning, content personalization, and intelligent tutoring capabilities. In the realm of EdTech solutions development, you will design AI applications specifically tailored to the education sector. This includes creating virtual tutors, automated assessments, and recommendation systems. It will be crucial for you to collaborate closely with educators and curriculum designers to ensure that the AI functionalities align with educational goals effectively. Your role will also involve model training and fine-tuning, where you will be required to train and optimize LLMs for specific EdTech use cases. This process aims to guarantee the delivery of accurate and meaningful interactions. Additionally, you will apply transfer learning techniques to customize general AI models for education-specific tasks. Utilizing tools like Claude.ai and Perplexity.ai will be essential in your work to create innovative solutions for interactive learning and derive data-driven insights. You will have the opportunity to experiment with features from emerging Anthropics technologies to enhance the capabilities of the EdTech platform continually. Staying updated on the latest developments in AI and EdTech will be a crucial aspect of your role to implement cutting-edge solutions effectively. Engaging in exploratory research to explore how advanced AI tools can address key challenges in the education sector will also be part of your responsibilities. Collaboration and stakeholder engagement will play a significant role in your work, requiring you to work closely with product managers, UX designers, and other developers to deliver AI-powered EdTech features successfully. You will need to effectively communicate AI concepts and capabilities to technical and non-technical stakeholders, ensuring a clear understanding across the board. To excel in this role, you should hold a Bachelor's or Master's degree in Computer Science, Artificial Intelligence, Machine Learning, or a related field. A Ph.D. would be advantageous. Demonstrated expertise in working with Claude.ai, Perplexity.ai, and other Anthropics systems is essential. Proficiency in Python and familiarity with AI frameworks like TensorFlow, PyTorch, and Hugging Face are required. A deep understanding of NLP techniques, LLM architectures, and transformer-based models is crucial. Experience with API integrations and deploying AI/ML models in production environments is necessary. Previous experience in developing AI solutions for educational platforms and knowledge of challenges in EdTech, including accessibility, data privacy (e.g., FERPA, GDPR), and scalability, will be beneficial for this role.,

As an AI Software Engineer Leader at Hyperforce Developer Experience, you will be part of a team dedicated to enhancing developer productivity and experience through generative AI. Our goal is to revolutionize software development by providing cutting-edge AI-powered tools and solutions that exceed customer expectations and establish a strong reputation for excellence. Your role will involve working on a cutting-edge AI platform to enhance developer productivity, offering features like advanced code generation, intelligent code completion, automated testing, and throughout SDLC. You will lead a team of AI engineers in developing and implementing AI solutions across the software development life cycle. Your responsibilities will include continuously innovating and exploring advanced AI techniques to improve SDLC processes, reducing development time and effort through automated code generation and intelligent suggestions, enhancing code accuracy, readability, and maintainability with AI-powered tools, empowering developers to explore new ideas and experiment with cutting-edge technologies, automating repetitive tasks and streamlining the development process, optimizing AI models through data analysis, designing user-friendly interfaces for AI-powered tools, and building a scalable infrastructure to support a growing user base. In this role, you will drive the vision of transforming engineers" productivity by infusing AI technologies/tools into SDLC in collaboration with teams across geographies. You will build and lead a team of engineers to deliver various AI engineering initiatives, have solid experience in building large-scale AI systems in public cloud environments, identify and resolve reliability and data quality issues, mentor and coach engineers for continuous development, recruit top talent, collaborate with cross-functional teams for execution and delivery, manage multiple engineering teams, design and implement algorithms for code suggestions, evaluate AI model performance, maintain data retrieval systems, ensure code generation meets standards and user preferences, develop AI-powered features in IDEs, and more. Core qualifications for this role include a degree in computer science or a related field, 14+ years of relevant software development experience with 5+ years of team management experience, at least 3+ years of AI/ML engineering experience, proficiency in programming languages such as Python, Java, Typescript, or Golang, knowledge of NLP techniques and code generation techniques, expertise in cloud native services, strong analytical and communication skills, and the ability to work in a fast-paced environment with a focus on delivering high-quality results under tight deadlines.,

As an experienced AI Architect with 4+ years of experience, your core responsibilities will involve designing and architecting AI pipelines that encompass ingestion, extraction, deduplication, quality checks, reasoning, and visualization using LLM-based technologies. You will be tasked with creating agentic workflows that efficiently coordinate various tools, functions, and data sources through orchestration frameworks. Additionally, your role will require building user-facing agents that can interpret queries, retrieve data, and deliver tailored outputs utilizing RAG technology. Collaborating with product, engineering, and domain experts, you will integrate AI applications into production environments and develop generative interfaces for tasks like report generation, insight synthesis, and stakeholder communications. Furthermore, you will be responsible for defining LLM customization strategies, including fine-tuning, prompt engineering, and retrieval optimization. Your expertise in Prompt Engineering will be crucial, as you will be crafting and refining prompts to guide task-specific LLM behavior. Practical experience with LLM APIs from providers like OpenAI, Anthropic, or similar platforms is essential. Familiarity with RAG, embeddings, and retrieval-augmented generation patterns will be required for creating user-friendly agents. Proficiency in software development using Python, Git, testing, and modern development practices is necessary. Working knowledge of NLP techniques such as entity recognition, text classification, and model adaptation will also be beneficial. Additionally, you should be able to define and track metrics for accuracy, latency, and hallucination in LLM agents and have experience in generative visualization using tools like Vega-Lite, Observable, or custom pipelines. Ideally, you should hold a Bachelor's degree in Computer Science, Software Engineering, Data Science, or a related field, or possess equivalent hands-on experience. You must have at least two years of experience developing production software, with a minimum of one year dedicated to building LLM-driven applications or AI agents. A portfolio, GitHub repository, or case study showcasing AI-enabled solutions in real or simulated environments would be advantageous. Bonus skills that would set you apart include an understanding of LLM fine-tuning, agent orchestration frameworks like CrewAI or LangChain, knowledge of open-source LLMs such as LLaMA, familiarity with AWS and Docker, and hands-on experience with transformer libraries like Hugging Face. This is a full-time position that requires working in person.,

Tata Electronics Pvt. Ltd. is a key global player in the electronics manufacturing industry, specializing in Electronics Manufacturing Services, Semiconductor Assembly & Test, Semiconductor Foundry, and Design Services. Established in 2020 by the Tata Group, the company's primary objective is to provide integrated solutions to global customers across the electronics and semiconductor value chain. We are looking for an AI Core Developer to join our R&D team in Bangalore. This role is centered around fundamental AI research, algorithm development, and model pre-training, focusing on innovation rather than application engineering. As an AI Core Developer, you will be involved in cutting-edge AI research, creating novel algorithms, and constructing foundation models from scratch. This position is ideal for individuals with a strong background in pre-training methodologies and algorithm development who aspire to contribute to core AI advancements. Your responsibilities will include developing and implementing innovative machine learning algorithms for various AI systems, designing pre-training pipelines for large models, prototyping new AI architectures, collaborating with research scientists and engineers, and contributing to technical publications. The ideal candidate should hold a Bachelor's or Master's degree in Computer Science, Machine Learning, or a related field, with 2-4 years of hands-on experience in AI/ML development. Proficiency in Python, C/C++, knowledge of deep learning frameworks such as PyTorch and TensorFlow, and experience with model pre-training are essential requirements. Strong mathematical skills, familiarity with transformer architectures and attention mechanisms, and understanding of distributed computing are also key competencies. Preferred qualifications include advanced experience in multimodal AI systems, research contributions to top-tier AI conferences, and expertise in specific AI domains like healthcare or finance. The position is based in Bangalore, India, with a hybrid work arrangement and occasional travel for conferences and collaborations.,

The Sales Ex COE - Client Success Data Science Specialist role based in Bangalore, Gurgaon, Hyderabad, or Mumbai requires expertise in data science, machine learning, and generative AI skills. As part of the Center of Excellence (COE), you will support salespeople by analyzing data, creating models, and delivering insights to enhance sales and pricing methods. Your primary responsibility will be to enable Sales Excellence in providing top-notch service offerings to Accenture's leaders, practitioners, and sales teams. Working within the COE Analytics Modeling Analysis team, you will develop models and scorecards to improve processes, drive sales, and maximize profitability. Collaborating with operations teams, you will translate data-driven insights into actionable solutions, manage tool access, and monitor usage. Key responsibilities include: - Extracting and transforming raw data from various sources for analysis and modeling - Applying statistical, machine learning, and NLP techniques to identify patterns and extract insights - Developing machine learning or deep learning models to address complex business challenges - Presenting findings to technical and non-technical audiences in a clear manner - Exploring Gen AI use cases and collaborating with cross-functional teams to develop solutions - Ensuring data compliance with privacy regulations and implementing security measures - Staying updated on advancements in data science and Gen AI To qualify for this role, you should have a Bachelor's degree with at least 4 years of experience in AI/ML, including expertise in machine learning algorithms, NLP techniques, generative AI skills, data visualization tools, and coding in Python, SQL, or R. Strong communication, time management, organizational, and project management skills are essential. A Master's or doctoral degree in Data Science or related field, along with experience in developing Gen AI solutions using Azure OpenAI or Google PaLM2, is preferred. Join Accenture, a leading company with a wealth of experience, and contribute your 6-9 years of expertise to drive innovation and success in the field of data science and AI.,

As an AI Developer specializing in Large Language Models (LLMs) with a focus on EdTech, you will play a crucial role in developing cutting-edge AI solutions to revolutionize learning experiences and educational outcomes. You will work with tools like Claude.ai, Perplexity.ai, and Anthropics" AI systems to create innovative features that enhance adaptive learning, content personalization, and intelligent tutoring within EdTech platforms. Your responsibilities will include developing and integrating AI solutions, designing AI applications tailored to the education sector, training and fine-tuning LLMs for specific EdTech use cases, and leveraging AI tools to create interactive learning experiences. You will also stay updated on the latest advancements in AI and EdTech, conduct research on implementing state-of-the-art solutions, and collaborate with cross-functional teams to deliver AI-powered features. To excel in this role, you should have a Bachelor's or Master's degree in Computer Science, Artificial Intelligence, Machine Learning, or a related field. A Ph.D. will be advantageous. Your technical skills should encompass expertise in Claude.ai, Perplexity.ai, and Anthropics systems, proficiency in Python and AI frameworks like TensorFlow and PyTorch, and a deep understanding of NLP techniques and transformer-based models. Experience with API integrations and deploying AI/ML models in production environments is essential. Furthermore, your EdTech experience should demonstrate your ability to address challenges such as accessibility, data privacy regulations (e.g., FERPA, GDPR), and scalability within educational platforms. Strong analytical, problem-solving, and communication skills are required to effectively explain complex AI concepts to both technical and non-technical stakeholders. A collaborative mindset and a passion for leveraging AI to enhance education will set you up for success in this role. Preferred qualifications include familiarity with adaptive learning systems, gamification in education, or chatbot implementations, as well as experience working with cloud platforms like AWS, GCP, or Azure. Prior involvement in projects involving real-time interactions through AI integration will be beneficial for this position.,

As a Senior ML Scientist in the Advertising Optimization & Automation Science team at Wayfair, you will play a crucial role in leveraging machine learning and generative AI to streamline campaign workflows. Based in Bangalore, India, you will contribute to building intelligent systems that drive personalized recommendations and campaign automation within Wayfair's advertising platform. Your responsibilities will include designing and implementing intelligent budget, tROAS, and SKU recommendations, as well as simulation-driven decisioning to enhance advertiser outcomes and unlock substantial commercial value. In collaboration with cross-functional teams, you will lead the development of GenAI-powered creative optimization and automation to drive incremental ad revenue and improve supplier outcomes. Additionally, you will elevate technical standards by promoting best practices in ML system design and development across the team. The ideal candidate for this role possesses a Bachelor's or Masters degree in Computer Science, Mathematics, Statistics, or a related field, along with 9+ years of experience in building large-scale machine learning algorithms. You should have a strong theoretical understanding of statistical models and ML algorithms, proficiency in programming languages such as Python, and experience with relevant ML libraries like TensorFlow and PyTorch. Strategic thinking, customer-centric mindset, and a desire for creative problem-solving are essential qualities for success in this position. Additionally, you should be adept at influencing senior-level stakeholders, possess excellent communication skills, and demonstrate the ability to shape technical roadmaps through cross-functional partnerships. Nice-to-have qualifications include experience with GCP, Airflow, and containerization, as well as familiarity with Generative AI and agentic workflows. Knowledge of Bayesian Learning, Multi-armed Bandits, or Reinforcement Learning is also advantageous. By joining Wayfair, you will be part of a dynamic and innovative team that is dedicated to reinventing the way people shop for their homes. If you are looking for a fast-paced environment that offers continuous learning and growth opportunities, Wayfair may be the perfect place for you to advance your career.,

As a Specialist IS Business Systems Analyst with Amgen, you will play a crucial role in supporting the delivery of emerging AI/ML capabilities within the Neural Nexus program. Your primary responsibilities will include collaborating with the Commercial Technology Data & Analytics team to design, implement, and iterate on a layered ecosystem focused on Data, Insights, Action, and Learning (DIAL). Working within the Scaled Agile Framework (SAFe), you will partner with Engineering and Product Management to shape roadmaps, prioritize releases, and maintain a refined product backlog. Your role will involve contributing to backlog management by breaking down Epics into Features and Sprint-ready User Stories, ensuring clear articulation of requirements, and well-defined Acceptance Criteria and Definitions of Done. Additionally, you will prioritize non-functional requirements within the backlog to uphold performance, scalability, and compliance standards. Collaboration with UX will be essential to align technical requirements, business processes, and scenarios with user-centered design principles. You will also assist in developing engaging product demonstrations for both internal and external partners and support documentation efforts to maintain accurate records of system configurations, processes, and enhancements. Your input will be crucial in the launch and growth of Neural Nexus product teams that focus on data connectivity, predictive modeling, and fast-cycle value delivery for commercial teams. Moreover, you will provide valuable insights for governance discussions and help prepare materials to align executive decision-makers on technology strategy and investment. To excel in this role, you are expected to hold a Doctorate degree, Master's degree, or Bachelor's degree with 8 to 13 years of experience in Information Systems. You should have experience in writing user requirements and acceptance criteria, an affinity for working in a DevOps environment, and an Agile mindset. Excellent problem-solving skills, experience with Agile software development methodologies, and superb communication skills are essential. Experience in managing product features, developing product roadmaps, and user journeys will be advantageous. Demonstrated expertise in data and analytics, understanding of data and analytics software systems, and familiarity with test automation software are desirable skills. Technical skills in cloud-based data technologies, AWS, design patterns, and knowledge of NLP techniques will also be beneficial. Your soft skills, including the ability to work under minimal supervision, excellent analytical skills, strong verbal and written communication abilities, and a team-oriented approach will be key to your success. Amgen offers competitive benefits and comprehensive Total Rewards Plans, supporting your professional and personal growth while fostering an inclusive environment dedicated to improving the quality of life for people worldwide.,

As a Data Science Team Lead at our organization, you will be responsible for leading a team of data scientists, planning data projects, building analytic systems, and managing a team of data scientists and machine learning engineers. Your role will also involve participating in pre-sales activities and developing proposals. With your strong expertise in machine learning, deep learning, NLP, data mining, and information retrieval, you will design, prototype, and build the next-generation analytics engines and services. Your responsibilities will include leading data mining and collection procedures, ensuring data quality and integrity, interpreting and analyzing data problems, conceiving, planning, and prioritizing data projects, building analytic systems and predictive models, testing the performance of data-driven products, visualizing data, creating reports, aligning data projects with organizational goals, understanding business problems, and designing end-to-end analytics use cases. Additionally, you will develop complex models and algorithms to drive innovation throughout the organization, conduct advanced statistical analysis to provide actionable insights, collaborate with model developers to implement scalable solutions, and provide thought leadership by researching best practices and collaborating with industry leaders. To qualify for this role, you should have 8-15 years of experience in a statistical and/or data science role, proven experience as a Data Scientist or similar role, strong organizational and leadership skills, a degree in Computer Science, Data Science, Mathematics, or a similar field, deep knowledge and experience in Large Language Models (LLM), strong knowledge of Generative AI, deep knowledge of machine learning, statistics, optimization, or a related field, experience in Linear and non-Linear Regression models, Classification models, and Unsupervised models, rich experience in NLP techniques, experience in Deep Learning techniques like CNN, RNN, GAN, and Markov, real-time experience with at least one of the machine language software like R, Python, Matlab, good knowledge in Explainable AI, experience working with large datasets, simulation/optimization, and distributed computing tools, excellent written and verbal communication skills, a strong desire to work in cross-functional teams, an attitude to thrive in a fun, fast-paced startup-like environment, and an additional advantage of experience in semi, unstructured databases. Optional qualifications include programming skills in languages like C, C++, Java, or .Net.,

We are seeking a Full-Stack AI Developer specializing in Generative AI and Large Language Models (LLMs) to take the lead in designing and developing AI-driven applications. This role requires comprehensive full-stack skills encompassing front-end design, backend AI model training and deployment, and scalable infrastructure management. Front-End Development: - Create intuitive and user-friendly interfaces for AI-powered applications. - Utilize modern web frameworks like React and Vue.js to develop responsive UI/UX. - Optimize front-end performance and ensure cross-browser compatibility. Back-End Development: - Develop robust and scalable backend systems for AI model deployment. - Design and maintain RESTful APIs for seamless front-end and back-end integration. - Manage cloud-based infrastructure using platforms such as AWS or Azure. AI Model Development: - Train, fine-tune, and deploy cutting-edge generative AI and LLM models. - Utilize frameworks like TensorFlow and PyTorch for deep learning model development. - Construct efficient inference pipelines for low-latency predictions. Data Engineering: - Design and maintain data pipelines for model training and evaluation. - Perform preprocessing and cleaning of large datasets to improve model performance. - Implement data versioning, monitoring, and reproducibility strategies. Preferred Qualifications: - A graduate degree in Computer Science, AI, Machine Learning, or a related field. - 5+ years of full-stack development experience. - 2+ years of hands-on experience in AI/ML, particularly with generative AI and LLMs. - Strong understanding of machine learning algorithms and NLP techniques. - Proficiency in Python and deep learning frameworks like TensorFlow and PyTorch. Skills & Competencies: - Strong problem-solving and architectural design skills. - Excellent communication and cross-functional collaboration abilities. - Self-motivated with the capacity to handle multiple projects concurrently. - Passion for continuous learning and staying abreast of the latest trends in AI/ML and LLMs.,

Games24x7 is seeking an experienced and detail-oriented Senior Data Analyst (DA-2) to join the team. The successful candidate will be responsible for analyzing and interpreting complex datasets to provide valuable insights that support strategic decision-making. The responsibilities of the Senior Data Analyst include gathering requirements from stakeholders, managing and prioritizing these requirements, and working on A/B experimentation to draw conclusions with statistical techniques. The candidate will need to convert actionable insights into well-defined projects, understand player behavior, and collaborate with Product, Marketing, and Technology teams to execute projects and measure their success. Additionally, the Senior Data Analyst will develop and maintain comprehensive dashboards and reports, debug, monitor, and troubleshoot various solutions, and ensure data quality standards are implemented to guarantee accuracy, reliability, and reusability of data and solutions. The ideal candidate should have a BE/B.Tech degree in Computer Science/IT from a top college, with a minimum of 4 years of experience in Analytics. Strong proficiency in statistical concepts and techniques such as hypothesis testing, regression analysis, and time series analysis is required. Experience in developing and implementing advanced statistical models and algorithms, such as logistic regression, decision trees, random forests, and gradient boosting, is essential. Hands-on experience with Large Language Models (LLMs) and natural language processing (NLP) techniques is a plus. The candidate must possess exceptional logical and analytical skills, excellent technical and communication abilities to convey complex technical concepts to non-technical stakeholders effectively, and attention to detail. Proficiency in data analysis tools and programming languages like Python, R, SQL, etc., as well as experience with data visualization tools (e.g., Tableau, Power BI) are necessary. Knowledge of data warehousing concepts and working with large datasets is advantageous. The Senior Data Analyst will be based in Bangalore and will play a crucial role in contributing to the organization's success by providing data-driven insights and solutions to drive business decisions.,

As a data and analytics engineering professional at PwC, your primary focus will be on leveraging advanced technologies and techniques to design and develop robust data solutions for our clients. You will play a crucial role in transforming raw data into actionable insights, enabling informed decision-making and ultimately driving business growth. In the realm of artificial intelligence and machine learning, your responsibilities will involve developing and implementing advanced AI and ML solutions to foster innovation and enhance business processes. Your work will encompass designing and optimizing algorithms, models, and systems to facilitate intelligent decision-making and automation. Candidates with 15+ years of hands-on experience are preferred for this role. Essential requirements for this position include familiarity with the CCaaS domain, contact center operations, customer experience metrics, and industry-specific challenges. You should also possess a solid understanding of conversational data (chats, emails, and calls) to train Conversational AI systems. In-depth knowledge of CCaaS platforms such as NiceCX, Genesys, and Cisco, including their architecture, functionalities, and integration capabilities, is crucial. Proficiency in contact center metrics like average handle time (AHT), first call resolution (FCR), and customer satisfaction (CSAT) is necessary. Additionally, familiarity with sentiment analysis, topic modeling, and text classification techniques, as well as proficiency in data visualization tools like Tableau, Power BI, and Quicksight, is required. An understanding of cloud platforms (e.g., AWS, Azure, Google Cloud) and their services for scalable data storage, processing, and analytics is essential. Expertise in NLU verticals such as ASR generation, SSML modeling, Intent Analytics, conversational AI testing, Agent Assist, Proactive Outreach Orchestration, and Generative AI is highly valued. You will also be expected to apply advanced statistical and machine learning techniques to analyze large datasets and develop predictive models and algorithms to enhance contact center performance. Preferred qualifications include proficiency in programming languages such as Python, Pyspark, R, and SQL, as well as a strong understanding of data science principles, statistical analysis, and machine learning techniques. Experience in predictive modeling, along with skills in techniques like regression analysis, time series forecasting, clustering, and NLP techniques, is advantageous. Knowledge of distributed computing frameworks like Hadoop and Spark for processing large volumes of data is beneficial. An understanding of NoSQL databases (e.g., MongoDB, Cassandra) for handling unstructured and semi-structured data is also preferred. Awareness of data security best practices, encryption techniques, and compliance regulations (e.g., GDPR, CCPA), as well as an understanding of ethical considerations in data science and responsible AI practices, will be beneficial. The ideal educational background for this role includes a degree in BE, B.Tech, MCA, M.Sc, M.E, M.Tech, or MBA.,

You will be responsible for building and interpreting machine learning models on real business data from the SigView platform, such as Logistic Regression, Boosted trees (Gradient boosting), Random Forests, and Decision Trees. Your tasks will include identifying data sources, integrating multiple sources or types of data, and applying data analytics expertise within a data source to develop methods to compensate for limitations and extend the applicability of the data. Moreover, you will be expected to extract data from relevant data sources, including internal systems and third-party data sources, through manual and automated web scrapping. Your role will involve validating third-party metrics by cross-referencing various syndicated data sources and determining the numerical variables to be used in the same form as they are from the raw datasets, categorized into buckets, and used to create new calculated numerical variables. You will perform exploratory data analysis using PySpark to finalize the list of compulsory variables necessary to solve the business problem and transform formulated problems into implementation plans for experiments by applying appropriate data science methods, algorithms, and tools. Additionally, you will work with offshore teams post data preparation to identify the best statistical model/analytical solution that can be applied to the available data to solve the business problem and derive actionable insights. Your responsibilities will also include collating the results of the models, preparing detailed technical reports showcasing how the models can be used and modified for different scenarios in the future to develop predictive insights. You will develop multiple reports to facilitate the generation of various business scenarios and provide features for users to generate scenarios. Furthermore, you will be interpreting the results of tests and analyses to develop insights into formulated problems within the business/customer context and provide guidance on risks and limitations. Acquiring and using broad knowledge of innovative data analytics methods, algorithms, and tools, including Spark, Elasticsearch, Python, Databricks, Azure, Power BI, Azure Cloud services, LLMs-Gen AI, and Microsoft Suite will be crucial for success in this role. This position may involve telecommuting and requires 10% travel nationally to meet with clients. The minimum requirements for this role include a Bachelor's Degree in Electronics Engineering, Computer Engineering, Data Analytics, Computer Science, or a related field plus five (5) years of progressive experience in the job offered or related occupation. Special skill requirements for this role include applying statistical methods to validate results and support strategic decisions, building and interpreting advanced machine learning models, using various tools such as Python, Scikit-Learn, XGBoost, Databricks, Excel, and Azure Machine Learning for data preparation and model validation, integrating diverse data sources using data analytics techniques, and performing data analysis and predictive model development using AI/ML algorithms. Your mathematical knowledge in Statistics, Probability, Differentiation and Integration, Linear Algebra, and Geometry will be beneficial. Familiarity with Data Science libraries such as NumPy, SciPy, and Pandas, Azure Data Factory for data pipeline design, NLTK, Spacy, Hugging Face Transformers, Azure Text Analytics, OpenAI, Word2Vec, and BERT will also be advantageous. The base salary for this position ranges from $171,000 to $190,000 per annum for 40 hours per week, Monday to Friday. If you have any applications, comments, or questions regarding the job opportunity described, please contact Piyush Khemka, VP, Business Operations, at 111 Town Square Pl., Suite 1203, Jersey City, NJ 07310.,