847 Nlp Jobs - Page 5

As the Head of AI at our company, you will play a crucial role in leading the research, development, and deployment of cutting-edge AI and ML models that drive our SaaS platform. This position requires a unique blend of profound technical knowledge, product insight, strategic acumen, and the ability to make a significant impact on a large scale. Your primary objective will be to translate ambitious AI concepts into practical solutions that bring tangible business value. Your responsibilities will include defining and overseeing the AI roadmap and strategy to align with our product and business objectives. You will design and construct state-of-the-art AI/ML systems and pipelines that are not only robust and scalable but also easy to maintain. Leading and guiding a team comprising machine learning engineers, data scientists, and researchers will be a core aspect of your role. Collaboration with engineering, product, and design teams to seamlessly integrate AI solutions into user-facing features will be essential. You will be at the forefront of exploring and implementing the latest advancements in NLP, LLMs, generative AI, and other pertinent domains to enhance our core product. Additionally, you will be responsible for supervising data collection, annotation, and governance processes to drive AI innovation in a responsible and ethical manner. Your vision and leadership will be instrumental in shaping the foundation of a product that sets new standards in its category. Working alongside industry pioneers in an environment that values initiative and innovation, you will have end-to-end ownership, enabling quick decision-making and the opportunity to witness your work in production promptly. Joining a dynamic, collaborative, and fast-paced team dedicated to pushing the boundaries of AI, you will enjoy perks and benefits such as gym membership, health insurance, company-sponsored lunches, and more.,

We are searching for a Full-Stack AI Developer with specialization in Generative AI and Large Language Models (LLMs) to spearhead the design and creation of AI-driven applications. As a Full-Stack AI Developer in this role, you will be required to exhibit a broad range of capabilities, from creating user-friendly front-end interfaces to developing and deploying backend AI models and overseeing scalable infrastructure. Your responsibilities will include: Development: - Creating intuitive and user-friendly interfaces for AI-driven applications. - Using modern web frameworks like React and Vue.js to craft responsive UI/UX designs. - Ensuring optimal front-end performance and compatibility across different browsers. Backend Development: - Building robust and scalable backend systems for deploying AI models. - Establishing and managing RESTful APIs to facilitate seamless integration between front-end and back-end components. - Overseeing cloud-based infrastructure utilizing platforms such as AWS or Azure. AI Model Development: - Training, fine-tuning, and deploying state-of-the-art generative AI and LLM models. - Leveraging frameworks like TensorFlow and PyTorch for developing deep learning models. - Constructing efficient inference pipelines to achieve low-latency processing. Engineering: - Designing and managing data pipelines for model training and evaluation. - Conducting preprocessing and cleansing of extensive datasets to enhance model performance. - Implementing data versioning, monitoring, and reproducibility practices. Qualifications: - Possession of a graduate degree in Computer Science, AI, Machine Learning, or a related field. - Minimum of 5 years of experience in full-stack development. - At least 2 years of hands-on experience in AI/ML, particularly in generative AI and LLMs. - Strong understanding of machine learning algorithms and NLP techniques. - Proficiency in Python and deep learning frameworks such as TensorFlow. Competencies: - Strong problem-solving skills and aptitude for architectural design. - Excellent communication abilities and aptitude for cross-functional collaboration. - Self-motivated with the capability to handle multiple projects concurrently. - Enthusiasm for continuous learning and staying abreast of the latest developments in AI/ML and LLMs.,

The Senior Data Scientist role in the S&C Global Network - AI - Hi Tech focuses on driving strategic initiatives, managing business transformations, and leveraging industry expertise to create value-driven solutions. As a skilled and experienced professional, you will provide strategic advisory services, conduct market research, and develop data-driven recommendations to enhance business performance. Your responsibilities will include developing and implementing AI models and GenAI applications in industries such as semiconductors, enterprise technology, consumer technology, and medical technology. You will collaborate with cross-functional teams to gather requirements, design solutions, and deploy models into production environments. Additionally, you will stay updated on emerging technologies and industry trends to contribute to continuous improvement initiatives within the organization. As a Senior Data Scientist, you will lead the design and delivery of client projects, focusing on areas such as marketing & consumer analytics, predictive asset maintenance, production optimization, supply chain, sales & channel partner program analytics, and connected products. Your role will involve creating industry-leading points-of-view in client domains to position the organization as a value partner. You will design and implement GenAI based solutions through contextual prompt engineering and prompt tuning, supporting solution architects on the design of GenAI-powered solutions/assets. Utilizing your expertise in PLM/ERP/CRM/Contact Center systems, you will integrate data sources and ensure seamless operation of AI solutions. Proficiency in Python programming, with experience in NLP and Computer Vision techniques, is essential for developing machine learning models. You will architect functional solutions, provide technical guidance to enhance the performance and scalability of AI systems, and leverage cloud platforms such as Azure/GCP and AWS. The ideal candidate for this role should possess relevant experience in the required domain, strong analytical and problem-solving skills, and the ability to work in a fast-paced, dynamic environment. A proven track record of developing AI models in various areas, proficiency in Python programming with NLP and Computer Vision experience, exposure to PLM/ERP/CRM systems, and familiarity with cloud platforms are key qualifications for this position. Knowledge of LLM exposure and experience with tools like ChatGPT, Llama 2, Claude 2, Hugging Face, etc., for prompt engineering and tuning will be advantageous. This role offers the opportunity to work on innovative projects and provides avenues for career growth and leadership exposure within Accenture. If you have a minimum of 5 to 8 years of experience and at least 15 years of education, we invite you to join our Hi-Tech practice in Bengaluru and contribute to driving impactful solutions in the AI domain.,

As a Python Intern at our organization, you will be an integral part of our development team. You should be a motivated individual who has completed 36 months of prior training in Python development and is enthusiastic about working on real-world projects involving Django, Flask, NLP, and SQL. Your responsibilities will include assisting in the development of web applications using Django and Flask frameworks, working with SQL databases for efficient data storage and retrieval, collaborating with the team to integrate NLP features into existing products, writing clean and well-documented code, participating in team meetings, code reviews, and project planning, as well as researching and proposing improvements for existing workflows and codebases. To excel in this role, you must have 3 to 6 months of hands-on training or project experience in Python, a strong understanding of Django and/or Flask frameworks, basic to intermediate knowledge of SQL and database operations, exposure to NLP concepts and libraries such as NLTK, spaCy, or similar, familiarity with REST APIs and JSON, good problem-solving skills, and a willingness to learn. Nice to have skills include an understanding of front-end technologies like HTML, CSS, or JavaScript, and experience working on mini-projects. This is a full-time, permanent position based in Mohali, Punjab, with a salary range of 8,000 to 10,000. The interview mode will be personal only, and the work schedule includes day and morning shifts to be conducted in person.,

You are a skilled and experienced professional looking to join a dynamic team at Enlighta, a USA-based software products company with a presence in India. With a focus on on-demand supplier governance and contracts compliance management solutions, Enlighta is a global leader in providing innovative software solutions to optimize supplier and contract compliance functions for leading enterprises. Enlighta values creativity and teamwork, working on cutting-edge technologies such as AI, ML, NLP to develop solutions that address complex business challenges. As part of our team of high-energy individuals, you will have the opportunity to make a lasting impact and enjoy a fun work environment. We are seeking individuals with 8 to 15 years of experience in project management, delivery management, and product management within enterprise software companies or leading IT services firms. Your role will involve client engagement management, software development, requirements elicitation, pre-sales activities, client escalations, application support, and project management for global 2000 enterprises. Experience in supplier management solutions, contracts & SLAs, metrics, dashboards, BPM, PPM, spend management, and IT governance is highly desirable. A strong technical background, particularly in Java stack and cloud deployment, will be advantageous as Enlighta's solutions are based on these technologies. In this role, you will be involved in client interface, project management, requirements capture, configuration, customization using Groovy scripts, testing, issue management, deployment, and enhancing the capabilities of the Enlighta product suite. Joining our team offers a unique opportunity to work in a small team environment that encourages learning and growth. We provide a competitive compensation package for candidates who possess the right skills and experience. If you are interested in this exciting opportunity or know someone who might be a good fit, please forward your profile to jobs@enlighta.com.,

As the AVP Business Intelligence Unit Manager in the Business Intelligence Analytics department of a private bank in Mumbai, your main responsibility is to lead and manage business intelligence initiatives focused on automation, data democratization, and standardization. Your role will involve generating actionable insights, automating dashboards, and supporting risk management through analytics. You will be expected to have a strong understanding of NLP, LLMs, Deep Learning, Machine Learning, Text generation, etc. Additionally, you will lead the automation of regular reports and MIS using SAS Viya and Power BI. Supporting business teams in converting manual reporting into dynamic dashboards will also be a key part of your role. Collaboration with risk compliance, product teams, IT, data engineers, and governance is essential to ensure consistent data. Working on complex data sets to identify key trends, exposures, and risk indicators using visual analytics for business highlighting is another crucial aspect of your job. You will also be responsible for the monthly preparation and timely publishing of the Risk Review Deck for senior management review. Monitoring and enforcing best practices in data sourcing and transformation will be part of your job requirements. The ideal candidate for this role should have a graduate or postgraduate degree in Engineering, Statistics, Mathematics, or a related field. You should have 7-8 years of experience in Business Intelligence/Data Analytics in the banking sector. Hands-on experience in data visualization tools like Power BI, Tableau, and language queries like SAS, SQL, Python is necessary. Understanding risk metrics and exposure analysis in banking is preferred. Strong communication and stakeholder management skills are also required for this role.,

You will be responsible for managing Data Science and Machine Learning projects with a focus on AI applications. The role is based in PAN India and follows a Hybrid work mode. Ideal candidates should have 12 to 16 years of experience in Machine learning, NLP, computer vision, gen AI, or LLM, with a mandatory requirement of a Full-time PhD from tier1 institutions. A minimum of 5 years of post-PhD experience is required for candidates. Professors with teaching experience in the specified domains from tier1 institutions are also encouraged to apply. As an AI/ML Engineer, your primary role will involve developing applications and systems utilizing AI tools and Cloud AI services. You will be expected to create application pipelines on the cloud or on-premises with production-ready quality. The role may include working on GenAI models, deep learning, neural networks, chatbots, and image processing among other tasks. Key skills required for this position include expertise in Computer Vision, while additional skills are considered beneficial but not mandatory. The educational qualification sought is a Ph.D. in Computer Science, Electrical Engineering, Electronics, Electronics and Communication, Data Science/AI, Mathematics, and Statistics from reputed institutes such as IITs, IISc, IIITs, and ISIs. We are seeking an innovative AI Research and Innovation Practitioner who can develop new algorithms, enhance existing models, and explore novel AI applications to solve complex challenges faced by clients. The position offers opportunities to work across various AI areas, including Speech and Audio, Computer Vision, Natural Language Processing, and Multi-modal AI. Emerging research tracks on Agentic AI autonomous systems are also part of the role, focusing on goal-driven intelligent systems that can reason, plan, and adapt using AI technologies.,

You will be responsible for functions, activities, and skills required for the analysis, design, coding, integration, test & maintenance of Intelligent Document Processing modules and systems. Your main focus will be on building NLP based solutions for query and document analysis, processing, information extraction, document classification, and context-based information retrieval. Additionally, you will conduct research to advance the state-of-the-art Deep learning and NLP technologies. Your role will involve building knowledge of the organization, processes, and customers. You should have knowledge and experience in your own discipline while continuously acquiring higher-level knowledge and skills. You will receive a moderate level of guidance and direction, with moderate decision-making authority guided by policies, procedures, and business operations protocol. In terms of technical skills, you should have 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, DL, NLP, etc. Experience in designing & developing highly scalable templates and training documents on IDP for efficient data extraction from semi/un-structured PDFs or images is essential. Familiarity with Docker, flask APIs, Redis, and Celery is a must. You will closely work with Solution Architects/Team leads, prepare technical design documents, and implement automated deployment. Understanding and practicing AGILE Methodologies, Software Development Lifecycle (SDLC) using Code Management & Release Tools (MS DevOps, Github, Team Foundation Server), working with Relational Databases, SQL Scripting (MS SQL Server), and clear understanding of Architecture and infra requirements are crucial for this role. Experience or proficiency in Python would be useful for this position. This is a fully remote position.,

As an experienced Primary Market Research (PMR) leader, your role will involve leading high-impact global research engagements, mentoring teams, and partnering with Data Science & AI experts to modernize insights generation using traditional qualitative and quantitative research methods alongside AI/ML and Generative AI applications. You will be responsible for executing end-to-end PMR projects across therapy areas and geographies, utilizing both traditional methodologies and AI-enhanced techniques to improve study design, analysis, and storytelling. Your key responsibilities will include applying Generative AI tools to accelerate insight synthesis and automate reporting, guiding the integration of machine learning models for survey optimization, and collaborating closely with clients and internal stakeholders to deliver insights aligned with business strategy. Additionally, you will manage and mentor a team of market researchers, maintain strong vendor relationships, and demonstrate storytelling excellence through data-driven narratives that influence strategic decision-making. To excel in this role, you should have at least 15 years of experience in healthcare/life sciences primary market research, with a proven ability to lead multi-country, multi-method projects. Strong knowledge of qualitative and quantitative methodologies is essential, and exposure to tools such as Qualtrics, SPSS, R, or Python is advantageous. Hands-on experience with AI/GenAI platforms for text summarization, sentiment analysis, and automated reporting is desired, along with a passion for exploring emerging technologies in research workflows. Preferred qualifications include a Master's degree in Life Sciences, Market Research, Business Analytics, or related fields, as well as certification or exposure to AI/ML in market research or marketing analytics. Familiarity with healthcare compliance, pharma regulations, and therapy-specific dynamics will be beneficial for this role. Excellent interpersonal, presentation, and client engagement skills, strong project management abilities, and the capacity to thrive in a fast-paced, deadline-driven environment are also key attributes for success in this position.,

As an AI/ML Developer at our company, you will play a crucial role in designing, developing, and deploying intelligent solutions using cutting-edge artificial intelligence and machine learning technologies. Collaborating with a team of experts in a dynamic environment, you will contribute to high-impact, real-world applications. Your responsibilities will include designing and developing AI/ML solutions based on project and business requirements, researching and implementing machine learning algorithms, and training and optimizing ML models on domain-specific datasets. You will also be involved in functional design, prototyping, and testing of AI/ML components, working within an agile development environment and taking ownership of deliverables. The ideal candidate for this role will have hands-on experience in deep learning techniques such as NLP, Speech, or Computer Vision, proficiency with ML frameworks like PyTorch or TensorFlow, and experience in developing and fine-tuning Large Language Models (LLMs). Strong Python programming skills, experience with RESTful APIs, and familiarity with cloud platforms such as AWS, Azure, or GCP are also required. Additionally, you should possess a solid understanding of algorithms, data structures, and object-oriented design, along with experience in data modeling, database schema design, and version control using Git. Strong analytical and problem-solving skills, as well as excellent verbal and written communication abilities for cross-functional collaboration, are essential. To qualify for this position, you should hold a Bachelors or Masters degree in Computer Science, Engineering, Mathematics, Statistics, or a related field, with a solid foundation in machine learning principles, algorithms, and statistical modeling. Join us in creating innovative AI/ML solutions that make a real impact in the industry.,

Tezo is a new generation Digital & AI solutions provider, renowned for delivering exceptional outcomes to customers through cutting-edge analytics, data proficiency, technology, and digital excellence. We are currently looking for a highly experienced and dynamic Practice Head in Data Science & AI to spearhead our data practice in Hyderabad. This role is tailored for a technology leader well-versed in Data Science, Artificial Intelligence (AI), and Machine Learning (ML), with a track record of building and expanding data practices. The ideal candidate should possess strong business acumen, experience in solution selling, and pre-sales expertise. As the Practice Head in Data Science & AI at Tezo, you will have the following key responsibilities: Leadership & Strategy: - Create and execute the strategic vision for the Data Science and AI practice. - Form and lead a high-performing team comprising data scientists, ML engineers, and AI experts. - Collaborate with various teams to embed data-driven solutions within broader business strategies. Technical Expertise: - Oversee the design and implementation of advanced AI/ML solutions across diverse domains. - Stay updated on industry trends, emerging technologies, and best practices in AI, ML, and data science. - Offer technical guidance and hands-on support for key initiatives. Practice Development: - Establish frameworks, methodologies, and best practices to enhance the scalability of the data science practice. - Define and deploy reusable components, accelerators, and IPs to streamline solution delivery. Client Engagement & Pre-Sales: - Assist in business development by collaborating with sales teams to identify opportunities, craft proposals, and deliver presentations. - Engage in solution selling by tailoring AI/ML-based solutions to meet client requirements. - Cultivate strong client relationships and serve as a trusted advisor on their data journey. Required Skills & Experience: - Minimum of 12 years of experience, with at least 5 years in leading data science/AI teams. - Demonstrated expertise in establishing or leading data science or AI practices. - Strong technical background in AI, ML, NLP, predictive analytics, and data engineering. - Proficiency with tools and platforms such as Python, R, TensorFlow, PyTorch, Azure ML, AWS SageMaker, among others. - Sound understanding of data strategy, governance, and architecture. - Proven track record in solutioning and pre-sales engagements. - Excellent communication, leadership, and stakeholder management skills.,

You will be joining a global team dedicated to protecting, healing, and nurturing in the pursuit of a cleaner, healthier world. As part of the Information Technology & Digital department, you will play a vital role in championing cyber security, leveraging technology to enhance business operations, and utilizing data to drive innovation in consumer products. Your main responsibilities will include leading the evolution of Reckitt South Asia's data stack, managing data integrity and confidentiality, collaborating with cross-functional teams to integrate analytics solutions, applying mathematical and statistical principles along with AI/ML algorithms to tackle business challenges, staying updated on industry trends, and ensuring adherence to global guidelines as a regional product manager for data solutions. We are looking for a data scientist & analytics lead with 3-6 years of experience in consumer goods/ durables/ retail/ food & beverages/ electronics industry, proficient in Python and relevant libraries/frameworks, experienced in data modeling, visualization, and building/managing data pipelines, possessing strong problem-solving skills, and the ability to manage multiple stakeholders and drive initiatives. Key skills required for success in this role include Data Science, Analytics, Power BI, statistical Analytics, Predictive Analytics, ML, NLP, FMCG, Mix Market Modelling, and Customer Segmentation. We offer a supportive environment that values inclusion and individual growth, where your potential and unique qualities are recognized and appreciated. If you are passionate about leveraging data to drive business value and are excited about contributing to a cleaner, healthier world, we encourage you to apply even if you do not meet every requirement listed in the job description. Your potential and fit with our company culture are equally important to us.,

#GenerativeAI Experts ready for AI race, this is for you! Announcing Hexaware conducting Walkin Drive for AI Engineer and Lead Data Scientist (GenAI)-Noida Location-3rd Aug 2025(Sunday) Interested candidates share your CV at umaparvathyc@hexaware.com Open Positions: AI Engineer/Lead Data Scientist (GenAI) AI Engineer Experience- 3+years Lead Data Scientist (GenAI) Experience- 7+years Notice Period- 15 days/30days Max (who serving Notice Period) Walkin Drive Location- Noida Date of drive- 3rd Aug 2025(Sunday) Must have Experience: LLM, Advance RAG, NLP, transformer model, LangChain Technical Skill: 1. Strong Experience in Data Scientist (GENAI) 2. Proficiency with Generative AI models like GANs, VAEs, and transformers 3. Expertise with cloud platforms (AWS, Azure, Google Cloud) for deploying AI models 4. Strong Python Fast API experience, SDA based implementations for all the APIs 5. Knowledge of Agentic AI concepts and applications

As an AI Engineer specializing in GenAI & ML Solutions at a leading global credit rating and financial analytics organization, you will be at the forefront of AI innovation in finance technology with exposure to cutting-edge GenAI techniques. Your primary responsibility will be to develop and deploy advanced AI solutions using the latest Generative AI techniques, including Retrieval-Augmented Generation (RAG) pipelines and designing Agentic AI systems to automate complex decision-making workflows. You will also be tasked with fine-tuning Foundation and Small Language Models (SLMs) tailored for domain-specific content generation and building scalable AI workflows while adhering to robust engineering and code quality standards. In this role, you will lead the end-to-end AI solution development lifecycle, from prototyping and experimentation to deployment on cloud platforms such as AWS, Azure, or GCP. Collaboration with cross-functional global teams, including financial analysts, technology architects, and client stakeholders, will be essential to translate business challenges into AI-driven solutions. Additionally, you will continuously evaluate emerging AI technologies and research to ensure that the organization's AI toolkit remains state-of-the-art. To be successful in this position, you should possess 4 to 7 years of experience in software engineering/development with a minimum of 2 years specializing in AI/ML roles. Deep hands-on expertise with GenAI technologies, strong programming skills in Python, and proven experience deploying AI/ML solutions on cloud platforms are required. Exposure to NLP, knowledge graphs, ML ops, or similar related areas would be a significant advantage. Effective communication skills, the ability to collaborate across global teams, and handle client interactions are also important traits for this role. A Bachelors or Masters degree from premier Indian institutes in Computer Science, any Engineering discipline, Mathematics, or related quantitative fields is preferred. Join us in redefining how financial intelligence is powered and delivered through innovative AI solutions that have a real-world impact on business outcomes. Grow your career in an environment that fosters best coding practices, continuous learning, and breakthrough AI deployments on cloud platforms while working in a hybrid setup in Pune or Mumbai.,

As an AI/ML Engineer at SolGuruz, you will play a crucial role in harnessing the power of Large Language Models (LLMs) and Retrieval-Augmented Generation (RAG) to transform software with advanced AI/ML capabilities. Your efforts will directly impact the user experience, pushing the boundaries and setting new benchmarks in AI-driven products. Your responsibilities will involve designing and implementing cutting-edge AI/ML models and solutions. You will delve deep into generative AI models and techniques, spanning Text-to-Speech, Speech to Text, Speech to Speech, Text to Image, and Image to Text. Evaluating AI models across diverse applications like content creation, design automation, Cloud Vision AI, and Natural Language AI will be part of your core tasks. Writing and maintaining high-quality Python code that is not only efficient and scalable but also well-documented will be essential. Collaboration with fellow engineers, researchers, and product managers to define requirements, brainstorm solutions, and refine designs will be a key aspect of your role. Additionally, contributing to the development of internal tools and infrastructure for AI/ML research and development will be expected. To excel in this role, you should stay updated on the latest advancements in AI/ML research and development. Having an understanding of AI Chatbots, document search, MLOps, supervised learning, unsupervised learning, Video analytics, Image analytics, NLP, exploratory data analysis, descriptive analytics, prescriptive analytics, and predictive analytics is crucial. What We Are Looking For: - Proficiency in Large Language Models such as Open AI, Stable Diffusion, and Generative AI models/services offered by AWS, Azure, and Google. - Hands-on experience with popular machine learning libraries like TensorFlow, PyTorch, etc. - Practical knowledge of AI/ML development using Python and advanced scripting in Python. - Expertise in databases, especially vector databases, along with strong experience in one of the cloud platforms. - Experience in implementing MLOps practices for machine learning models using Azure ML/AWS Sagemaker. Why SolGuruz - Embrace a culture that fosters innovation and forward-thinking. - Opportunities for professional growth and career advancement. - No bond, no contract. - Work 5 days a week with flexible timings to support work-life balance. - No bossism culture - thrive through collaboration. - Benefit from a high-config laptop to boost productivity. - Engage in various activities to enhance team spirit. Skills: text-to-speech, image to text, TensorFlow, AI/ML, PyTorch, vector databases, Large Language Models, Python, Azure, AWS, speech to text, cloud platforms, MLOps, NLP, text to image, speech to speech, generative AI.,

Role: Applied Machine Learning Engineer Location: Hybrid / Remote Team: AI & Innovation Reports to: VP of Artificial Intelligence Your Role At BIG Language Solutions, we're shaping the future of multilingual communication through cutting-edge AI. As an Applied Machine Learning Engineer, youll be instrumental in designing, building, and scaling ML-driven capabilities that enhance our translation, localization, and linguistic intelligence products. You will work across data science, engineering, and product teams to bring research into production and help us automate, augment, and accelerate human translation. This role is perfect for someone who thrives on experimentation, iteration, and deployment of ML models in real-world systems. You Will Adapt and fine-tune open-source LLMs and implement Retrieval-Augmented Generation (RAG) pipelines to perform specialized tasks, enhancing translation quality and workflow efficiency. Design, deploy, and optimize AI agents capable of enterprise-grade conversations, integrating them with internal systems via APIs, databases, and automation tools. Develop evaluation pipelines for LLM performance on multilingual tasks, and guide model selection or fine-tuning accordingly. Support the prototyping and productionization of AI-driven features that support localization workflows, with a focus on delivering scalable impact across translation and interpretation processes. Collaborate with cross-functional teams (engineering, product, and operations) to shape BIG Language AI’s roadmap Stay current with research in applied ML, especially around LLMs, sequence modeling, and cross-lingual representations. Requirements 3+ years of experience in applied Machine Learning, preferably with a focus on NLP or multilingual AI. Bachelor’s or Master’s degree in Computer Science, Machine Learning, Computational Linguistics, or related field. Proficiency in Python and ML frameworks such as PyTorch, TensorFlow, or HuggingFace Transformers. Experience building, training, evaluating, and deploying models in production environments. Strong understanding of NLP concepts such as information retreival, sequence modeling, NER, and machine translation. Experience with MLOps tools (e.g., MLflow, Weights & Biases, Docker, Kubernetes) is a strong plus. Excellent problem-solving skills and ability to work cross-functionally with product, data, and engineering teams.

About Us At Bank of America, we are guided by a common purpose to help make financial lives better through the power of every connection. Responsible Growth is how we run our company and how we deliver for our clients, teammates, communities, and shareholders every day. One of the keys to driving Responsible Growth is being a great place to work for our teammates around the world. We're devoted to being a diverse and inclusive workplace for everyone. We hire individuals with a broad range of backgrounds and experiences and invest heavily in our teammates and their families by offering competitive benefits to support their physical, emotional, and financial well-being. Bank of America believes both in the importance of working together and offering flexibility to our employees. We use a multi-faceted approach for flexibility, depending on the various roles in our organization. Working at Bank of America will give you a great career with opportunities to learn, grow, and make an impact, along with the power to make a difference. Join us! Global Business Services Global Business Services delivers Technology and Operations capabilities to Lines of Business and Staff Support Functions of Bank of America through a centrally managed, globally integrated delivery model and globally resilient operations. Global Business Services is recognized for flawless execution, sound risk management, operational resiliency, operational excellence, and innovation. In India, we are present in five locations and operate as BA Continuum India Private Limited (BACI), a non-banking subsidiary of Bank of America Corporation and the operating company for India operations of Global Business Services. Process Overview Document, Content & Record Services Technology (DCRS) is an enterprise-wide capability, managing documents, e-signature transactions, and the creation, storage, and fulfillment of billions of letters and statements annually. DCRS capabilities are at the forefront of the digital evolution as they drive a significant reduction in paper and manual processes. Job Description - 7+ years as Data Scientist or related roles - Deep understanding and some exposure to new Gen AI Open-source Models - At least 5 years programming experience in software development and Agile processes - At least 5 years Python (or equivalent) programming experience to work with ML/NLP models - We're looking for a Python Developer who can be responsible for designing, building, and maintaining document capture applications - The ideal candidate will have a solid background in software engineering with experience in building Machine Learning & NLP Models and good familiarity with Gen AI Models Responsibilities - Building Machine Learning & NLP Models and knowledge of new Gen AI Open-source Models Requirements - Experience in setting up supervised & unsupervised learning ML/NLP models including data cleaning, data analytics, feature creation, model selection & ensemble methods, performance metrics & visualization - Experience in ML/NLP development pipelines of large datasets, both structured & unstructured - At least 2 years" experience in designing and developing enterprise-scale ML/NLP solutions in one or more of: Named Entity Recognition, Document Classification, Document Summarization, Topic Modeling, Dialog Systems, Sentiment Analysis, OCR text processing - Knowledge and hands-on experience working with OCR products Education - Bachelors /masters degree in computer science/data science, or a related technical field - Certifications If Any: NA Experience Range - 06 Years To 12 Years Foundational Skills - Good experience as Data Scientist or related roles - Deep understanding and some exposure to new Gen AI Open-source Models - At least 5 years programming experience in software development and Agile processes - At least 5 years Python (or equivalent) programming experience to work with ML/NLP models - Experience in setting up supervised & unsupervised learning ML/NLP models including data cleaning, data analytics, feature creation, model selection & ensemble methods, performance metrics & visualization - Experience in ML/NLP development pipelines of large datasets, both structured & unstructured - At least 2 years" experience in designing and developing enterprise-scale ML/NLP solutions in one or more of: Named Entity Recognition, Document Classification, Document Summarization, Topic Modeling, Dialog Systems, Sentiment Analysis, OCR text processing - Knowledge and hands-on experience working with OCR products Desired Skills - Collaborating with a diverse set of partners and stakeholders from various Lines of Business - Highly motivated, proactive, and a self-starter; strong sense of ownership & ability to create and execute plans without daily oversight - Critical thinker: ability to analyze problems and identify issues and provide solutions - Ability to navigate the enterprise & data assets across multiple functions - Highly organized - Effectively prioritizes and balances multiple efforts in a fast-paced environment - Excellent communication and Presentation skills - Analytical abilities & great problem-solving skills Work Timings - 11:00 AM to 8:00 PM IST Job Location - Mumbai, Gurugram, GIFT, Chennai,

As an AI/ML Mentor at Engineer Sahab Education in Indore, you will play a crucial role in guiding and mentoring students to help them establish a solid understanding of Artificial Intelligence and Machine Learning. Your responsibilities will include conducting engaging sessions on various AI/ML concepts, assisting students in developing capstone projects, offering personalized mentorship, staying updated with the latest trends, and collaborating with the academic team to enhance learning outcomes. To excel in this role, you should hold a Bachelor's or Master's degree in Computer Science, AI/ML, Data Science, or a related field, along with 1-3 years of experience in AI/ML development or teaching. Proficiency in Python and machine learning libraries like Scikit-learn, TensorFlow, Keras, Pandas, and NumPy is essential. Strong communication skills, a passion for mentoring, and experience in building and deploying ML models will be advantageous. At Engineer Sahab Education, you will work in a collaborative and student-centric environment, impacting the careers of future tech professionals. You will have access to continuous learning resources and upskilling opportunities, along with a competitive salary and room for growth. If you are enthusiastic about AI/ML and enjoy sharing knowledge, we encourage you to apply and be a part of our mission to shape the next generation of AI/ML professionals.,

As a global media company producing high-quality content that reaches millions of users worldwide, Cond Nast is seeking a talented Senior Director of Data Science to drive data-driven decision making and innovation across our portfolio of prestigious brands. In this pivotal role based in Chennai, TN, you will lead a team of data scientists to develop ML and AI-driven products that enhance user experiences, content personalization, and drive business growth. Reporting directly to the executive leadership, you will define and execute the data science roadmap aligned with Cond Nast's business objectives. You will foster a culture of data-driven decision-making, effectively communicating complex data insights to technical and non-technical audiences. Your strategic leadership will be instrumental in identifying opportunities for leveraging data science to drive innovation and competitive advantage across the company. Collaboration is key at Cond Nast, and you will work closely with international colleagues and stakeholders in our US, UK, and India headquarters. You will lead, mentor, and grow a high-performing team of data scientists, promoting collaboration, innovation, and professional development. By collaborating with cross-functional teams such as Product, Analytics, Engineering, Design, and UX, you will identify data science opportunities and deliver impactful solutions. In this role, you will enable the team to develop and deploy predictive models, machine learning algorithms, and AI-driven solutions to optimize content recommendations, personalization, and revenue growth. Leveraging natural language processing (NLP) and Large Language Models (LLMs), you will analyze multimodal content to power recommendations and smarter editorial decisions. Your expertise in ML/AI and statistical modeling will be crucial in improving content performance, audience engagement, and subscription growth. Furthermore, you will champion data governance and innovation, collaborating with machine learning engineering, data engineering, and IT teams to ensure the integrity, accuracy, and security of data. By staying abreast of data science trends and technologies, you will drive the development of new data products and features. Your qualifications include an advanced degree in Data Science, Computer Science, Statistics, or related disciplines, along with extensive experience in leading large-scale data science projects and teams. If you are excited about the opportunity to drive data-driven decision making and innovation in a global media company, we encourage you to apply below. We look forward to reviewing your application and considering you for this impactful role at Cond Nast.,

The role of a Data Science Consultant in the S&C Global Network - AI - Hi Tech team includes driving strategic initiatives, managing business transformations, and leveraging industry expertise to create value-driven solutions. The ideal candidate should possess hands-on experience in data science within industries such as semiconductors, enterprise technology, consumer technology, and medical technology. As a Data Scientist in this role, you will be responsible for developing AI models and applying GenAI techniques in areas such as marketing & consumer analytics, predictive asset maintenance, production optimization, supply chain, sales & channel partner program analytics, and connected products. You will collaborate with cross-functional teams to gather requirements, design solutions, and deploy models into production environments, utilizing your expertise in PLM/ERP/CRM/Contact Center systems to integrate data sources and ensure seamless operation of AI solutions. Key responsibilities will include developing and implementing AI models and GenAI applications, designing machine learning models using Python with proficiency in NLP and Computer Vision techniques, and architecting functional solutions to enhance the performance and scalability of AI systems. It is essential to stay updated on emerging technologies and industry trends to contribute to continuous improvement initiatives within the organization. The successful candidate should have relevant experience in the required domain, strong analytical, problem-solving, and communication skills, along with the ability to work in a fast-paced, dynamic environment. A proven track record of developing AI models in various areas such as channel analytics, marketing & customer experience, supply chain analytics, predictive maintenance, production optimization, and connected products is highly desirable. Proficiency in Python programming, experience in NLP and Computer Vision, exposure to PLM/ERP/CRM systems, and familiarity with cloud platforms such as Azure/GCP and AWS are key technical skills required for this role. This position offers the opportunity to work on innovative projects, career growth, and leadership exposure within Accenture's Hi-Tech practice.,

As a Software Engineer specializing in AI/ML/LLM/Data Science at Entra Solutions, a FinTech company within the mortgage Industry, you will play a crucial role in designing, developing, and deploying AI-driven solutions using cutting-edge technologies such as Machine Learning, NLP, and Large Language Models (LLMs). Your primary focus will be on building and optimizing retrieval-augmented generation (RAG) systems, LLM fine-tuning, and vector search technologies using Python. You will be responsible for developing scalable AI pipelines that ensure high performance and seamless integration with both cloud and on-premises environments. Additionally, this role will involve implementing MLOps best practices, optimizing AI model performance, and deploying intelligent applications. In this role, you will: - Develop, fine-tune, and deploy AI/ML models and LLM-based applications for real-world use cases. - Build and optimize retrieval-augmented generation (RAG) systems using Vector Databases such as ChromaDB, Pinecone, and FAISS. - Work on LLM fine-tuning, embeddings, and prompt engineering to enhance model performance. - Create end-to-end AI solutions with APIs using frameworks like FastAPI, Flask, or similar technologies. - Establish and maintain scalable data pipelines for training and inferencing AI models. - Deploy and manage models using MLOps best practices on cloud platforms like AWS or Azure. - Optimize AI model performance for low-latency inference and scalability. - Collaborate with cross-functional teams including Product, Engineering, and Data Science to integrate AI capabilities into applications. Qualifications: Must Have: - Proficiency in Python - Strong hands-on experience in AI/ML frameworks such as TensorFlow, PyTorch, Hugging Face, LangChain, and OpenAI APIs. Good to Have: - Experience with LLM fine-tuning, embeddings, and transformers. - Knowledge of NLP, vector search technologies (ChromaDB, Pinecone, FAISS, Milvus). - Experience in building scalable AI models and data pipelines with Spark, Kafka, or Dask. - Familiarity with MLOps tools like Docker, Kubernetes, and CI/CD for AI models. - Hands-on experience in cloud-based AI deployment using platforms like AWS Lambda, SageMaker, GCP Vertex AI, or Azure ML. - Knowledge of prompt engineering, GPT models, or knowledge graphs. What's in it for you - Competitive Salary & Full Benefits Package - PTOs / Medical Insurance - Exposure to cutting-edge AI/LLM projects in an innovative environment - Career Growth Opportunities in AI/ML leadership - Collaborative & AI-driven work culture Entra Solutions is an equal employment opportunity employer, and we welcome applicants from diverse backgrounds. Join us and be a part of our dynamic team driving innovation in the FinTech industry.,

At EY, you'll have the chance to build a career as unique as you are, with the global scale, support, inclusive culture, and technology to become the best version of you. And we're counting on your unique voice and perspective to help EY become even better, too. Join us and build an exceptional experience for yourself, and a better working world for all. Cyber Security is seeking a Security architect to join the Cyber AI team. This position will use machine learning, data engineering, automation, and Data Science principles to solve enterprise problems and advance our mission. This role is a key contributor to our practice and will be directly responsible for design, development, deployment, design reviews and processing of all of AI first projects. The successful candidate will work closely with key stakeholders to drive key project activities and involve Cybersecurity domains are included in AI development. We are seeking candidates with a passion to lead the implementation of cutting-edge technology and methodologies while establishing strong partnerships with data owners and stakeholders across Cyber Security. Responsibilities: - Work in or lead an agile team to design and build architectures on AI solutions. - Engage proactively with customers to better understand their needs and obtain feedback. - Acquire and develop technology agnostic reference architectures across AI Security Architecture. - Reviewing current state AI system security architectural foundations and recommend enhancements with target roadmaps. - Develop vendor agnostic security solution architecture with technology reference architecture aligned to various best practices such as NIST, ENISA, ETSI, etc. - Vital contributor to develop security design patterns, framework, approach, and methodology in the discipline of AI Security, developing project timelines for ongoing system upgrades. - Ensure to collaborate across domain and solution architects at different sub-competency of Cyber Security and act as CoE Champion to aggregated best practices of security reference architecture. - Conduct Technology and Infrastructure Security Assessment in terms of threat, vulnerability, and risk aspects of an enterprise security architecture perspective. - Develop Technology design and program planning to bring in value-added solution delivery and ensure strategic alignment and long-term business benefits. - Engage in grooming security analysts and solution architects to bring in holistic perspective in every solution delivery. - Ability to create AI models utilizing deep learning, neural networks, and ML algorithms to derive business insights and fuel informed decision-making. - Thorough understanding of linear algebra, probability, and statistics to comprehend and use AI models such as Naive Bayes, Gaussian mixture models, and linear discriminant analysis. - Knowledge to build a variety of AI applications, including language translation, visual recognition or perception, and targeted advertising based on sentiment analysis. - Develop scalable algorithms capable of learning, analyzing, and predicting future events. - Structure business problems and drive viable, data-driven hypotheses in collaboration with business partners. - Devise, develop, and disseminate actionable intelligence from disparate data sources using advanced data analytics tools and techniques. - Ability to perform in-depth data analysis including but not limited to: Machine Learning, Classification, Optimization, Time Series analysis, Pattern Recognition. Candidate must have a thorough understanding and experience on the following in terms of AI and AI Security: - Threat models. - Security analysis. - Design and integration into AI and ML infra. - Some familiarity with an offensive perspective on AI attack model perspective, model extraction, data poison, etc. QUALIFICATIONS: Required Skills: - 5+ years of experience as an Architect with skills in AI and AI Systems. - 3+ years working with languages Python and SQL. - 3+ years applying statistics in data analyses (ex. regression modeling, econometrics, classification labeling, recommendation, parametric/non-parametric modeling, etc.). - 5 or more years of experience presenting and delivering results to business partners and leadership. - 2 or more years of experience in Cyber Security domain knowledge. - Strong project management, negotiation, and interpersonal skills. - Advanced written and verbal communication skills and presentation skills. - You may also have a Bachelor's and/or post-graduate degree in computer science, information systems, engineering, or a related major. Preferred: - Certifications in data science, deep learning, and ML. - Exposure to Generative AI and NLP. - Experience in multi-cloud. - 2 or more years skilled at data visualization (PowerPoint, Tableau, D3, ggplot, matlib, seaborn, etc.). - 2 or more years with modern data engineering with APIs. - 2 or more years of experience in Cyber Security domain knowledge. - M.S. or PhD in a Science, Technology, Engineering, Mathematics (STEM) or Economics related field of study. - 2 or more years applying agile SDLC. EY | Building a better working world EY exists to build a better working world, helping to create long-term value for clients, people, and society and build trust in the capital markets. Enabled by data and technology, diverse EY teams in over 150 countries provide trust through assurance and help clients grow, transform, and operate. Working across assurance, consulting, law, strategy, tax, and transactions, EY teams ask better questions to find new answers for the complex issues facing our world today.,

As a Senior Java Developer/Technical Lead for Voice & Email Platform at our growing team, you will be responsible for developing, optimizing, and maintaining Java-based applications. Your role involves working with RESTful APIs, Webhooks, and WebSocket protocols to facilitate real-time communication. Building secure and scalable backend systems to efficiently handle high-volume traffic is a key aspect of your responsibilities. Collaboration with cross-functional teams is essential to enhance performance and reliability. Additionally, you will troubleshoot issues related to support tickets and third-party integrations and optimize system performance using multithreading, caching, and database indexing techniques. To excel in this role, you should have 3 to 7 years of experience as a Senior Developer, with expertise in Java, Spring Boot, Hibernate, and Microservices. Hands-on experience with Asterisk or Freeswitch, along with a solid understanding of RESTful APIs, Webhooks, and JSON, is required. Proficiency in MySQL, PostgreSQL, or NoSQL databases (MongoDB, Redis), exposure to AWS and scalable application architecture, and familiarity with message brokers like RabbitMQ and Kafka are necessary. Knowledge of security protocols such as OAuth, JWT, and experience with Docker, Kubernetes, CI/CD pipelines, and Git (GitHub, GitLab, Bitbucket) is expected. Unit testing using JUnit, Mockito, experience in CPaaS, and understanding of chatbots, NLP, and AI-driven messaging are essential skills. For the Tech Lead role, in addition to the above requirements, you need to have a strong grasp of design patterns and best practices, proven leadership and team mentorship abilities, and experience in managing sprints and tasks via tools like JIRA. Exposure to building Voice Bots using AI/ML is considered a significant advantage. The ideal candidate should hold a Bachelors or Masters degree in Computer Science, Information Technology, or a related field. If you are passionate about building high-performance communication systems and enjoy solving real-world challenges, we encourage you to apply for this exciting opportunity with us. Contact us directly via messaging or apply now to jobs@pinnacle.in or dhiraj.rokade@pinnacle.in. Join us in revolutionizing communication platforms and making a difference in the tech industry! #JavaJobs #Hiring #TechLead #SeniorDeveloper #SpringBoot #VoicePlatform #MessagingPlatform #CPaaS #AI #Freeswitch #Asterisk #Microservices #LiveChat,

As a Senior AI Architect at Dailoqa, you will play a pivotal role in shaping, designing, and delivering agentic AI solutions that drive real-world business value. You will collaborate with business and technology stakeholders, lead cross-functional teams, and ensure our AI architectures are robust, scalable, and aligned with our vision of combined intelligence and financial inclusion. Agentic AI Solution Design: Collaborate with stakeholders to identify high-impact agentic AI use cases, define success metrics, and determine data requirements tailored to Financial Services clients. Architect and oversee the implementation of end-to-end agentic AI solutions aligned with Dailoqa's strategic objectives and client needs. Leadership & Cross-Functional Collaboration: Lead and mentor cross-functional teams in the development and deployment of scalable agentic AI applications and infrastructures. Work closely with business stakeholders to translate complex requirements into actionable AI architecture and technical roadmaps. Technology Evaluation & Governance: Evaluate, recommend, and integrate advanced AI/ML platforms, frameworks, and technologies that enable agentic AI capabilities. Develop and enforce AI governance frameworks, best practices, and ethical standards, ensuring compliance with industry regulations and responsible AI principles. Performance Optimization & Continuous Improvement: Optimize AI models for performance, scalability, and efficiency, leveraging cloud-native and distributed computing resources. Stay ahead of emerging trends in agentic AI, machine learning, and data science, applying new insights to enhance solution quality and business impact. Technical Leadership & Talent Development: Provide technical leadership, mentorship, and code review for junior and peer team members. Participate in the hiring, onboarding, and development of AI talent, fostering a culture of innovation and excellence. Lead sprint planning, technical assessments, and ensure high standards in code quality and solution delivery. Required Qualifications: - 15+ years of Total experience. 8+ years in machine learning, and data science and more recent experience (4-5 yrs) in gen AI models applying AI to practical, comprehensive technology solutions and AI Consultancy. - Knowledge of basic algorithms, object-oriented and functional design principles, and best-practice patterns. - Experience in implementing GenAI, NLP, computer vision, or other AI frameworks/technologies. Tools & Technology: - LLMs and implementing RAG or different prompt strategies. - Azure OpenAI, Off the shelf Platform native AI tools and Models. - Knowledge of ML pipeline orchestration tools. - Experienced in python; ideally working knowledge of various supporting packages. - Experience in REST API development, NoSQL database design, and RDBMS design and optimizations. - Strong experience in Data engineering and aligned Hyperscale Platforms e.g. Databricks, Synapse, Fivetran etc. Education and Others Skills: - Master's or Ph.D. in Computer Science, Data Science, or related field. - Extensive experience with modern AI frameworks, cloud platforms, and big data technologies. - Strong background in designing and implementing AI solutions for enterprise-level applications. - Proven ability to lead and mentor technical teams. - Excellent communication skills with the ability to explain complex AI concepts to both technical and non-technical audiences. - Deep understanding of AI ethics and responsible AI practices. Working at Dailoqa will provide you with an opportunity to be part of a dynamic and innovative team that values collaboration, innovation, and continuous learning. If you are proactive, adaptable, and passionate about leveraging AI to solve real-world challenges in the financial services industry, then this role might be the perfect fit for you.,

Choosing Capgemini means choosing a company where you will be empowered to shape your career in the way you'd like, where you'll be supported and inspired by a collaborative community of colleagues around the world, and where you'll be able to reimagine what's possible. Join us and help the world's leading organizations unlock the value of technology and build a more sustainable, more inclusive world. Drive the strategic vision for AI/ML initiatives and align them with the company's broader AI roadmap. Lead cross-functional teams including data scientists, ML engineers, and architects to deliver scalable AI solutions. Translate complex technical insights into actionable business strategies and communicate them effectively to stakeholders. Oversee the full lifecycle of AI/ML projects, leveraging LLMs and generative AI to build innovative, data-driven applications. Ensure high standards of data quality, model performance, and system reliability while staying current with emerging AI trends. Over 10 years of experience in data science with a Masters/PhD from a Tier 1 institute, specializing in AI/ML model development and deployment. Expertise in machine learning, deep learning, NLP (including LLMs like GPT, BERT, Gemini), and big data frameworks like Spark/Hadoop. Skilled in Python, R, and deep learning libraries (TensorFlow, PyTorch, Keras), with hands-on experience in cloud platforms (AWS, GCP, Azure). Strong leadership in managing data science teams and implementing MLOps practices for scalable model delivery. Excellent communication, cross-functional collaboration, and deep understanding of data privacy, security, and agile methodologies. Work on cutting-edge AI/ML solutions using deep learning, NLP, and LLMs like GPT, BERT, and Gemini across cloud platforms (AWS, GCP, Azure). Lead and mentor data science teams to deliver scalable, secure, and production-ready models using MLOps best practices. Clear career progression paths from engineering roles to architecture and consulting. Be part of mission-critical projects that ensure security, compliance, and operational efficiency for Fortune 500 clients. Capgemini is a global business and technology transformation partner, helping organizations to accelerate their dual transition to a digital and sustainable world, while creating tangible impact for enterprises and society. It is a responsible and diverse group of 340,000 team members in more than 50 countries. With its strong over 55-year heritage, Capgemini is trusted by its clients to unlock the value of technology to address the entire breadth of their business needs. It delivers end-to-end services and solutions leveraging strengths from strategy and design to engineering, all fueled by its market-leading capabilities in AI, generative AI, cloud, and data, combined with its deep industry expertise and partner ecosystem.,