847 Nlp Jobs - Page 8

As a qualified candidate for this role, you should possess a Bachelor's or Master's degree in Computer Science, Engineering, or a related field. You should also have extensive experience in AI/ML, specifically focusing on Generative AI technologies. Demonstrated success in leading and delivering complex AI projects is essential for this position. Your expertise should include a strong understanding of GenAI frameworks, tools, and methodologies. You must exhibit excellent problem-solving skills, strategic thinking abilities, and proficient project management capabilities. Effective communication and collaboration with diverse teams and stakeholders are crucial aspects of this role. Experience with cloud platforms and AI deployments in cloud environments, with a preference for Azure, is highly desirable. Preferred skills for this role include hands-on experience with GenAI-based products and prompt engineering. Proficiency in text analytics/NLP, encompassing machine learning techniques and algorithms, is advantageous. You should be skilled in text mining, parsing, and classification using state-of-the-art techniques. Expertise in the Microsoft technology stack and knowledge of client-side scripting (JavaScript and jQuery) are beneficial. Understanding ethical AI principles and implementing best practices is expected. Proficiency in programming languages such as Python, R, Java, and Regex expressions is required. Experience using requirement management tools like TFS is beneficial. Strong verbal and written communication skills are essential, along with the ability to influence peers and leadership positively.,

As an Amdocs Software Architect, you will be responsible for leading the architectural roadmap, providing architecture solutions throughout the software development lifecycle, and performing advanced software engineering tasks. You will have the autonomy to deliver technical objectives, make decisions based on extensive analysis, and offer technical expertise in software usage, functional, and non-functional aspects. Collaborating with software engineers and other architects, you will define and refine product structures to align with business needs and ensure seamless development, deployment, and maintenance. Additionally, you will work closely with customers and product line management to translate customer requirements into technical specifications, support and lead architectural decisions within product lines, and oversee projects while guiding software engineers on design decisions. Researching, evaluating, and prototyping new methodologies and technologies, you will drive process and tool improvements, all while gaining a deep understanding of customer contexts to inform technical choices. Key Responsibilities: - Extensive experience working with Various LLMs such as Lama, Gpt, and others - Hands-on experience in handling GenAI use cases - Expertise in developing Cloud Jobs for data ingestion for learnings - Establishing partnerships with project stakeholders to offer technical assistance in critical decisions - Development and implementation of Gen AI Use-cases in Live Production as per business/user requirements Technical Skills: Mandatory Skills: 1. Deep learning engineering expertise, particularly in MLOps 2. Strong NLP/LLM experience for text processing using LLM 3. Proficiency in Python & Terraform programming 4. Building backend applications using Python and deep learning frameworks 5. Deploying models and creating APIs (FAST API, FLASK API) 6. Experience working with GPUs 7. Working knowledge of Vector databases like Milvus, Azure Cognitive Search, Quadrant 8. Expertise in transformers and hugging face models such as llama, Mixtral AI, and embedding models Good to Have: 1. Knowledge and experience in Kubernetes, Docker 2. Cloud experience with VMs and Azure storage 3. Sound data engineering experience Behavioral Skills: - Excellent communication with clients and operational managers, actively listening and providing solutions - Strong problem-solving skills and ability to gather information effectively - Building strong relationships with clients, operational managers, and colleagues - Adaptability, prioritization, and ability to work under pressure to meet deadlines - Proactive thinking, anticipating problems, and offering innovative solutions - Effective presentation skills - Willingness to work extended hours when required,

You should have around 3 years of experience working as an NLP Engineer or in a similar role where you have demonstrated an understanding of NLP techniques for text representation and semantic extraction. Your expertise should also extend to data structures and modeling, enabling you to effectively design software architecture. A deep understanding of text representation techniques like n-grams, bag of words, sentiment analysis, as well as statistics and classification algorithms is essential for this role. Your proficiency in Python is crucial, along with a solid grasp of data structures and algorithms. Experience with Machine Learning Libraries such as scikit-learn, PyTorch, and TensorFlow will be highly beneficial. As a Python AI/ML Developer, you should possess an analytical mind with strong problem-solving abilities to excel in this position.,

You will be responsible for leading the marketing efforts for our AI-driven products as a Product Marketing Specialist. Your role will involve developing and owning the go-to-market (GTM) strategy, crafting compelling product narratives, creating marketing assets, and collaborating with cross-functional teams to drive product adoption and communicate value to customers. As the key liaison between the product and the market, you will collaborate closely with Product Management, Sales, and Engineering teams. Your primary focus will be on translating complex AI capabilities into clear business value propositions, conducting competitive research, executing targeted marketing campaigns, and monitoring key performance indicators to refine marketing strategies. To excel in this role, you must possess at least 4 years of experience in product marketing, preferably with AI, SaaS, or enterprise software products. You should have a proven track record in positioning technical products effectively and launching them in competitive markets. Strong understanding of AI technologies like machine learning, NLP, and computer vision is essential, along with excellent communication, writing, and analytical skills. Additionally, having a Bachelor's or Master's degree in Marketing, Computer Science, Business, or related field would be advantageous. Familiarity with AI/ML developer tools, APIs, cloud platforms, and experience in B2B marketing or marketing for early-stage AI products are considered good-to-have qualifications. Joining our team will offer you the opportunity to work on impactful projects, be part of a collaborative and agile environment, and benefit from professional growth and continuous learning. We offer a competitive salary and benefits package, including Provident Fund. This is a full-time position based in Tirupati, Andhra Pradesh, requiring in-person work. If you are enthusiastic about driving cutting-edge AI and data engineering solutions, we welcome your application. Kindly share details regarding your Current CTC, Expected CTC, Notice Period, and years of experience in marketing for AI-based products during the application process.,

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

The company believes in conducting business every day based on core values of Inclusion, Innovation, Collaboration, and Wellness, ensuring a global team works together with customers at the center. As part of the team, you will have the opportunity to impact the business by identifying AI ML opportunities and building solutions that drive results. You will lead ML projects, conduct research to discover new ML techniques, and innovate to enhance team and business efficiencies. Collaborating closely with engineers, analysts, and leaders, you will implement and optimize ML models, establish best practices for model management, deployment, and monitoring, and integrate ML models into products and services. Additionally, you will assist in troubleshooting technical issues, maintain documentation, project tracking, and quality controls. The ideal candidate will have a degree in engineering, science, statistics, or mathematics, possessing a strong technical background in machine learning. Excellent communication skills, an analytical mindset, and a passion for problem-solving are essential. Candidates should have at least 3 years of hands-on experience in problem-solving using Machine Learning, proficiency in Python or Java, and familiarity with technologies like Spark, Hadoop, BigQuery, and SQL. Deep knowledge of machine learning algorithms, explainable AI methods, GenAI, and NLP is required, along with experience with Cloud frameworks such as GCP and AWS. Experience in Lending and Financial services is considered a plus. The company offers a range of benefits, and it is committed to Diversity and Inclusion. To understand more about the company's culture and community, visit https://about.pypl.com/who-we-are/default.aspx. If you are interested in joining the Talent Community or have any questions related to your skills, please don't hesitate to apply, as the company values all candidates and aims to bridge the confidence gap and imposter syndrome.,

As an AI Leader at CGI, you will be responsible for driving the company's AI initiatives, promoting the use of AI technologies, and influencing internal and external stakeholders on AI innovations and capabilities. With 15-20 years of hands-on AI experience, you will play a key role in translating complex AI concepts into business value, engaging with industry leaders, clients, and communities, and leading the strategic direction for AI at our organization. Your key responsibilities will include promoting AI technologies within the company and the broader community, defining the AI vision and strategy with executives, and architecting, developing, and deploying AI-driven solutions. You will collaborate with cross-functional teams, contribute to the AI community through publications and research, and provide training and mentorship to junior AI professionals. To excel in this role, you should have 13+ years of hands-on experience in AI, machine learning, and deep learning, along with a Bachelor's or Master's degree in Computer Science, Data Science, AI, or related field. Proven leadership skills, expertise in AI algorithms and programming languages such as Python, strong communication abilities, and a passion for AI innovation are essential. Additionally, a deep understanding of how AI can drive business value, knowledge of AI trends and best practices, and experience in delivering presentations at industry events will be beneficial. Experience in AI product management, involvement in AI-related publications or patents, familiarity with cloud-based AI solutions, and behavioral competencies like process efficiencies, clear communication, and teamwork are considered advantageous. Join CGI, one of the largest IT and business consulting services firms globally, where ownership, teamwork, respect, and career growth are valued. As a CGI Partner, you will contribute to meaningful insights, develop innovative solutions, and shape your career with the support of leaders who care about your well-being and professional development.,

You are a talented and motivated Machine Learning Developer with 1 to 3+ years of experience, seeking to join an innovative team. In this role, you will be responsible for designing, developing, and deploying machine learning models and algorithms that power products and solutions. Your collaboration with cross-functional teams, including data scientists, software engineers, and product managers, will be crucial in creating scalable and efficient machine learning solutions. Your duties and responsibilities will include designing, implementing, and optimizing machine learning models to solve complex business problems. You will preprocess and analyze large datasets, ensuring data quality and relevancy for model training. Feature engineering to enhance model accuracy, evaluating model performance, deploying models into production environments, and staying updated with the latest advancements in machine learning will be part of your responsibilities. Additionally, you will collaborate with various teams to integrate machine learning capabilities into products and services while maintaining comprehensive documentation for models and processes. To excel in this role, you should have 1 to 3+ years of hands-on experience in machine learning or data science, proficiency in handling large datasets and SQL/NoSQL databases, and expertise in developing, training, and deploying machine learning models. Strong communication skills, the ability to work effectively in a team environment, and experience with cloud platforms like AWS, Google Cloud, or Azure are essential. Knowledge of natural language processing, computer vision, reinforcement learning, and familiarity with MLOps practices will be advantageous. This position is based in Indore, MP, with a work-from-office model. However, you should be willing to work on-site at various locations in India and globally, including the USA, UK, Australia, and the Middle East, with on-site benefits applicable. Apply now if you are ready to contribute your skills and expertise to a dynamic and collaborative team environment.,

As a Senior Data Scientist, you will utilize your extensive experience and expertise in AI/ML technologies to drive innovation and solve real-world problems. Your responsibilities will include designing, developing, and optimizing recommendation systems to enhance user experience, building advanced NLP chatbots for automating customer interactions, leading Generative AI solutions, and applying Large Language Models like GPT and BERT to create innovative business-specific solutions. Collaboration with cross-functional teams is key as you integrate machine learning models into production systems, perform data exploration and feature engineering, and stay updated on the latest advancements in AI and ML technologies. Mentoring junior data scientists and engineers, collaborating with product managers and business stakeholders, and ensuring ethical and responsible model development are also crucial aspects of this role. To excel in this position, you should have 5+ years of experience in data science or machine learning, with strong expertise in recommendation systems, chatbots, Generative AI, and Large Language Models. Proficiency in machine learning frameworks like TensorFlow and PyTorch, as well as experience with cloud platforms and data pipelines, will be essential. Your problem-solving skills, statistical knowledge, and ability to convey technical concepts to non-technical stakeholders will further contribute to your success in this role. Joining our rapidly growing product-based company will provide you with the opportunity to collaborate with a talented team, work on high-quality software solutions, and enjoy a competitive compensation and benefits package. If you are passionate about AI/ML technologies and eager to make a significant impact, this role offers an exciting and rewarding career opportunity.,

You are an experienced software engineer with over 11 years of total experience. You have a strong background in architecture and development using Java 8 or higher. Your expertise includes working with Spring Boot, Spring Cloud, and related frameworks. You possess a deep understanding of Object-Oriented Programming and various Design Patterns. You have hands-on experience in building and maintaining microservices architecture in cloud or hybrid environments. Your skills include working with REST APIs, Caching systems like Redis, multithreading, and cloud development. You are proficient in Apache Kafka, including Kafka Streams, Kafka Connect, and Kafka clients in Java. Additionally, you have worked with SQL and NoSQL databases such as MySQL, PostgreSQL, and MongoDB. You are familiar with DevOps tools and technologies like Ansible, Docker, Kubernetes, Puppet, Jenkins, and Chef. You have proven expertise in CI/CD pipelines using Azure DevOps, Jenkins, or GitLab CI/CD. Your experience includes using build automation tools like Maven, Ant, and Gradle. You have hands-on experience with cloud technologies such as AWS, Azure, or GCP, and have knowledge of Snowflake or equivalent cloud data platforms. Understanding predictive analytics and basic ML/NLP workflows is part of your skill set. You have a strong grasp of UML and design patterns. With excellent problem-solving skills and a passion for continuous improvement, you can communicate effectively and collaborate with cross-functional teams. Your responsibilities include writing and reviewing high-quality code, analyzing clients" needs, and envisioning solutions for functional and non-functional requirements. You will implement design methodologies, coordinate application development activities, and lead/support UAT and production rollouts. Additionally, you will estimate effort for tasks, address issues promptly, and provide constructive feedback to team members. You will troubleshoot and resolve complex bugs, propose solutions during code/design reviews, and conduct POCs to validate design/technologies. You hold a bachelor's or master's degree in computer science, Information Technology, or a related field.,

As a Senior AI Engineer (Tech Lead) at EY, you will have the opportunity to leverage your technical expertise to develop and implement cutting-edge AI solutions. With a minimum of 4 years of experience in Data Science and Machine Learning, including NLP, Generative AI, LLMs, MLOps, Optimization techniques, and AI solution Architecture, you will play a crucial role in driving innovation and creating impactful solutions for enterprise industry use cases. Your responsibilities will include contributing to the design and implementation of state-of-the-art AI solutions, leading a team of 4-6 developers, and collaborating with stakeholders to identify business opportunities and define AI project goals. You will stay updated with the latest advancements in generative AI techniques, such as LLMs, and evaluate their potential applications in solving enterprise challenges. By utilizing generative AI techniques, such as LLMs and Agentic Framework, you will develop innovative solutions tailored to specific business requirements. Your role will also involve integrating with relevant APIs and libraries, such as Azure Open AI GPT models and Hugging Face Transformers, to enhance generative AI capabilities. Additionally, you will be responsible for implementing and optimizing end-to-end pipelines for generative AI projects, ensuring seamless data processing and model deployment. Your expertise in data engineering, DevOps, and MLOps practices will be valuable in curating, cleaning, and preprocessing large-scale datasets for generative AI applications. To excel in this role, you should hold a Bachelor's or Master's degree in Computer Science, Engineering, or a related field, and demonstrate proficiency in Python, Data Science, Machine Learning, OCR, and document intelligence. Strong collaboration with software engineering and operations teams, along with excellent problem-solving and analytical skills, will be essential in translating business requirements into technical solutions. Moreover, your familiarity with trusted AI practices, data privacy, security, and ethical considerations will ensure the fairness, transparency, and accountability of AI models and systems. Additionally, having a solid understanding of NLP techniques, frameworks like TensorFlow or PyTorch, and cloud platforms such as Azure, AWS, or GCP will be beneficial in deploying AI solutions in a cloud environment. Proficiency in designing or interacting with agent-based AI architectures, implementing optimization tools and techniques, and driving DevOps and MLOps practices will also be advantageous in enhancing the performance and efficiency of AI models. Join EY to build an exceptional experience for yourself and contribute to creating a better working world for all through the power of AI and technology.,

As a Senior Data Scientist at CIS, you will be a valuable member of our Artificial Intelligence team, specializing in AI, ML, NLP, LLM, Opencv, Deep learning, Generative AI, and Computer Vision. With 2.6 to 6 years of experience, you will hold a Bachelor's degree or Master's in computer science, mathematics, or a related field. Your primary responsibilities will include designing, developing, and optimizing machine learning algorithms and deep learning applications. You will work closely with cross-functional teams, including data scientists, administrators, and data engineers, to enhance production systems and applications. It will be crucial to identify data distribution differences that may impact model performance and ensure accurate user recommendations. Key duties will involve transforming data science prototypes, running machine learning tests, monitoring systems, and constructing data pipelines. Your role will also require collaborating with managers to refine machine learning objectives and extending existing libraries and frameworks. To excel in this position, you must possess impeccable analytical and problem-solving skills, along with a solid foundation in math, probability, and algorithms. Proficiency in machine learning frameworks such as Keras or PyTorch, data modeling, and software architecture is essential. Strong time management, communication, and collaboration skills are also key attributes, along with a continuous learning mindset and a passion for innovation. This position is based in Indore, MP, with a work-from-office model. You should be open to on-site work at various locations in India and globally, including the USA, UK, Australia, and the Middle East, with associated benefits. If you are looking to join a dynamic team and contribute to cutting-edge machine learning projects, apply now from multiple locations listed in the job posting.,

As a Manager at Autodesk, you will lead the BI and Data Engineering Team to develop and implement business intelligence solutions. Your role is crucial in empowering decision-makers through trusted data assets and scalable self-serve analytics. You will oversee the design, development, and maintenance of data pipelines, databases, and BI tools to support data-driven decision-making across the CTS organization. Reporting to the leader of the CTS Business Effectiveness department, you will collaborate with stakeholders to define data requirements and objectives. Your responsibilities will include leading and managing a team of data engineers and BI developers, fostering a collaborative team culture, managing data warehouse plans, ensuring data quality, and delivering impactful dashboards and data visualizations. You will also collaborate with stakeholders to translate technical designs into business-appropriate representations, analyze business needs, and create data tools for analytics and BI teams. Staying up to date with data engineering best practices and technologies is essential to ensure the company remains ahead of the industry. To qualify for this role, you should have 3 to 5 years of experience managing data teams and a BA/BS in Data Science, Computer Science, Statistics, Mathematics, or a related field. Proficiency in Snowflake, Python, SQL, Airflow, Git, and big data environments like Hive, Spark, and Presto is required. Experience with workflow management, data transformation tools, and version control systems is preferred. Additionally, familiarity with Power BI, AWS environment, Salesforce, and remote team collaboration is advantageous. The ideal candidate is a data ninja and leader who can derive insights from disparate datasets, understand Customer Success, tell compelling stories using data, and engage business leaders effectively. At Autodesk, we are committed to creating a culture where everyone can thrive and realize their potential. Our values and ways of working help our people succeed, leading to better outcomes for our customers. If you are passionate about shaping the future and making a meaningful impact, join us in our mission to turn innovative ideas into reality. Autodesk offers a competitive compensation package based on experience and location. In addition to base salaries, we provide discretionary annual cash bonuses, commissions, stock grants, and a comprehensive benefits package. If you are interested in a sales career at Autodesk or want to learn more about our commitment to diversity and belonging, please visit our website for more information.,

Design and deploy AI-powered automation workflows. Build ML/NLP models, create scalable APIs, integrate with CRMs/ERPs, and lead end-to-end AI solution delivery in production.

Data mining or extracting usable data from valuable data sources. Using machine learning tools to select features, create and optimize classifiers. Processing, cleansing, and validating the integrity of data to be used for analysis. Required Candidate profile Should have exp of Data Science, Machine learning, Hive, Hadoop,Python, SQL, NLP, Gen AI etc. Should have Team handling and US Client handling exp. Pharma / biotech / healthcare industry preferred

Job Title: Data Engineer Department : Information Technology Reporting To : AVP IT Location : Kolkata Position Summary We are seeking a highly skilled and motivated Data Engineer to design and drive data-centric initiatives, contributing to strategic business decision-making. The ideal candidate will have a robust understanding of Big Data , Machine Learning , Cloud Computing , and modern data pipeline architectures . This role is critical in transforming raw data into meaningful insights and supporting a scalable analytics ecosystem. Key Responsibilities Design, develop, and implement robust data pipelines for seamless data ingestion, transformation, and storage. Build and deploy Machine Learning models to deliver actionable insights and predictive analytics. Conduct Exploratory Data Analysis (EDA) on structured and unstructured data. Optimize and manage big data environments ensuring performance, scalability, and reliability. Collaborate closely with cross-functional teams (engineering, product, business) to deliver data-driven solutions aligned with business goals. Uphold industry standards in Data Governance , Security , and Compliance . Tune performance and optimize SQL/NoSQL databases and cloud-based storage systems . Lead data visualization initiatives, transforming analytical outputs into digestible and actionable dashboards or reports. Collect, clean, and analyze large datasets from multiple sources. Develop and maintain dashboards, visualizations, and reports for business tracking. Extract, manipulate, and analyze data using SQL, Python, or R . Identify trends, anomalies, and insights that impact business performance. Conduct market research , customer behavior analysis , and performance tracking . Ensure data integrity and maintain compliance with data quality standards and policies. Required Qualifications & Experience Bachelors or Masters degree in Computer Science, Data Science, Statistics , or a related field. 5+ years of hands-on experience in Data Engineering or related domains. Proficiency in programming languages such as Python , SQL , Scala , or Java . Deep knowledge of Big Data tools : Apache Spark, Hadoop , and frameworks like Apache Airflow, Kafka . Experience in Cloud Platforms : AWS , Azure , or Google Cloud Platform (GCP) . Practical experience with Machine Learning libraries/frameworks : TensorFlow, PyTorch, Scikit-learn . Skilled in data visualization tools : Tableau, Power BI , or similar platforms. Strong analytical mindset with excellent problem-solving and communication skills. Immediate Joinee Preferred Preferred Skills (Good to Have) Familiarity with DevOps practices and containerization tools such as Docker and Kubernetes . Exposure to real-time data streaming and analytics. Knowledge in advanced fields like Deep Learning , Natural Language Processing (NLP) , or Computer Vision . If interested please call at +91-6292121331 or mail your updated CV at sushmita.dr@vgmconsult.co.in for further discussion & interview.

Hi, Greetings from Sun Technology Integrators!! This is regarding a job opening with Sun Technology Integrators, Bangalore. Please find below the job description for your reference. Kindly let me know your interest and share your updated CV to nandinis@suntechnologies.com ASAP. Strong background in traditional AI/ML Experience building GenAI chatbots, agents, implementing tools with Gemini or similar vendors Fine tuning experience of LLMs Ability to work with LLM APIs Experience with modern Generative AI development frameworks and tools (LangChain, Vector DBs) Agentic Frameworks (e.g., LangGraph, CrewAI, ). Experience with prompt engineering Experience with RAG architecture Experience in Google Cloud and Vertex AI Experienced with Python Please let me know, if any of your friends are looking for a job change. Kindly share the references. Please Note: WFO- Work From Office (No hybrid or Work From Home) Shift Details: IST Shift - 12.30 PM to 9.30 PM IST -2 ways free cab facility(Pickup+Drop) Years of Exp-5 to 10 years Interview Mode- 2 rounds Virtual interview Thanks and Regards, Nandini S | Sr.Technical Recruiter Sun Technology Integrators Pvt. Ltd. nandinis@suntechnologies.com www.suntechnologies.com

Role & responsibilities Primary: AI/ML Model, NLP, LLM, Data Ingestion & Integration,AI-powered Secondary: CPE modems Total Exp: 3-12 years Rel Exp: 3+ years relevant Scope of Work: Data Ingestion & Integration Preprocessing & Feature Engineering ML/AI Model Development Implement AI-powered workflows that: Trigger alerts for anomalous modems or clusters Suggest most probable root causes with supporting evidence Enable device grouping by failure signature or pattern similarity. Dashboard & Tooling Deliverables: AI/ML triage engine tailored for CPE modems Data ingestion and processing pipeline Root cause and action recommendation engine Integration with existing systems Interactive dashboard for issue monitoring and triaging Model performance reports and tuning guides User training and documentation Email your updated profile on shakambari.nayak@intelliswift.com

Transformer Models- either finetune or training on Open-Source Transformer based models. Should have done projects on LLM, NLP, LLAMA, Hugging face, RAG, Agentic AI/ Gen AI. Hands-on on Python Coding Should have done Gen AI projects.

Principal Data Scientist / Senior Data Scientist / Data Scientist - NLP / Machine Learning Job Position : Principal Data Scientist / Sr Data Scientists /Data Scientist / Jr. Data Scientist / Data Science Intern / Machine Learning Engineer-Global Tech AI Health Startup. Joining : Immediately. Global HQ, Benovymed Global Technology Development and Innovation Center & Benovymed Global R and D, and AI Health Innovation Center in Delhi NCR. Job Role Responsibility Description : We are looking for passionate, Strong experience with an entrepreneur mindset to join us as Hardcore Full Stack Data Scientist end-to-end single-handed multi-hat role who is already working in applied AI in ML, deep Learning, ANN, and CNN platform specifically working as single-handed doers or in a small Data Science Team with full end to end ownership of Data Science work commitment delivery as Data Scientist working in any reputed AI Data Science is driven Tech startup preferably in Healthcare. Required Skillsets : - Needs to have statistical, mathematical, and predictive modeling as well as business strategy skills to build the algorithms necessary to ask the right questions and find the right answers. - Need to be able to communicate their findings, orally and visually. - Need to understand how the products are developed and even more important, as big data touches the privacy of consumers, they need to have a set of ethical responsibilities.- - Need to have a natural desire to go beneath the surface of a problem. - Confident and self-secure as they more often than not will have to deal with situations where there is a lot of unknown. - Good knowledge & experience in Artificial Neural Network ( ANN ), AI conversational Chatbot & Needs to be able to write the required Algorithm and coding programming. - Preferably in different programming languages such as Python, Tensor Flow, Keras, AWS (ML and DL), Numpy, and Pytorch. In addition the need to be familiar with disciplines as follows : - Natural Language Processing, Machine learning, Conceptual modeling, Statistical analysis, Predictive Modeling, and Hypothesis testing. Data scientists should have at least some of the following capabilities : - Cleaning data, formatting data, Having the ability to query databases & perform statistical analysis, building AI Data Modelling, validating the AI Model, and deployment. - Being able to develop or program databases. - Having a good understanding of design & architecture principles. Qualification : B.Tech / M.Tech in CSE / Electrical / Electronics & Communication/ Maths & Computing /Statistics /BioTech/BioStat / Clinical Engineering in Data Science / Machine Learning from Top-rated Tech University / Top rated IIT /IIIT. Mandatory Requirement : Experience : - Post last qualification of at least 0 to 7 Years of strong experience exclusive in real Industry Projects in applied AI ML & Deep Learning Data Science in an early-stage AI Health startup at the role and designation as a single-handed full-stack Principal Data Scientist / Sr. Data Scientist. - Hardcore in ANN /Deep Learning /Machine Learning/NLP with at least 2-20 good Applied AI-oriented Applied Research Projects & applications with hardcore experience working on ANN, CNN, RNN, and deep learning in Digital Health startups to solve specific complex problems. CTC : - Best Package in Industry. - Terms & Conditions Apply as per our organization. - To deserving eligible candidates only, the company Equity / ESOP may be given also as a part of a Package for a long-term career opportunity. - Apply with your CV with passport size photo, & current CTC, expected CTC, Notice Period, Project details & cover letter. We have a disruptive Innovative Technology Products Line and Novel Solutions delivered through Mobile App / Web on our Cloud Digital Health Platform which is a Game changer, will surpass the current medical Practices, and is driven by Scientific evidence on actionable data-driven in Prevention, early detection, Treatment, Consultation, Clinical decision, Disease management areas of Top5 Chronic Diseases ( Including Top 20 Cancer Diseases|Diabetes|HeartDisease|Mental Health|COPD ) and COVID-19 Pandemic Management Globally to Impact the Lives of Billions of People Globally in a fastest-growing @51.3% CAGR in a few Trillion Dollars AI Health Global Market and Chronic Diseases Global Market. We will be looking to join Professionals in our 360-degree domain expertise areas | 200 Medical Doctors and Medical Researchers and 250 Data Scientists |AI Health Researchers Scientists| and with a total of more than 5000 Growth Drivers professionals with more than 2000 IT professionals| 2000 Business Development |Marketing and Sales|Global Operations of high energy Growth Drivers entrepreneur mindset (not the traditional employees) from across the world's Best Technology and Research Institutes in next 5 Years Timeline at our coming up India Global HQ, Global Technology Development and Innovation Center and Benovymed Global R and D and AI Health Innovation Lab to work on Thousands of complex problems in Healthcare to bring change in Healthcare to Impact the Life of Billions of People Globally to support our country "Make in India" Programme with solving every country local problems, local challenges and global problems globally.

Joining : Immediately. Job Role Responsibility Description : We are looking for passionate, Strong experience with an entrepreneur mindset to join us as Hardcore Full Stack Data Scientist end-to-end single-handed multi-hat role who is already working in applied AI in ML, deep Learning, ANN, and CNN platform specifically working as single-handed doers or in a small Data Science Team with full end to end ownership of Data Science work commitment delivery as Data Scientist working in any reputed AI Data Science is driven Tech startup preferably in Healthcare. Required Skillsets : - Needs to have statistical, mathematical, and predictive modeling as well as business strategy skills to build the algorithms necessary to ask the right questions and find the right answers. - Need to be able to communicate their findings, orally and visually. - Need to understand how the products are developed and even more important, as big data touches the privacy of consumers, they need to have a set of ethical responsibilities.- - Need to have a natural desire to go beneath the surface of a problem. - Confident and self-secure as they more often than not will have to deal with situations where there is a lot of unknown. - Good knowledge & experience in Artificial Neural Network ( ANN ), AI conversational Chatbot & Needs to be able to write the required Algorithm and coding programming. - Preferably in different programming languages such as Python, Tensor Flow, Keras, AWS (ML and DL), Numpy, and Pytorch. In addition the need to be familiar with disciplines as follows : - Natural Language Processing, Machine learning, Conceptual modeling, Statistical analysis, Predictive Modeling, and Hypothesis testing. Data scientists should have at least some of the following capabilities : - Cleaning data, formatting data, Having the ability to query databases & perform statistical analysis, building AI Data Modelling, validating the AI Model, and deployment. - Being able to develop or program databases. - Having a good understanding of design & architecture principles. Qualification : B.Tech / M.Tech in CSE / Electrical / Electronics & Communication/ Maths & Computing /Statistics /BioTech/BioStat / Clinical Engineering in Data Science / Machine Learning from Top-rated Tech University / Top rated IIT /IIIT. Mandatory Requirement : Experience : - Post last qualification of at least 0 to 7 Years of strong experience exclusive in real Industry Projects in applied AI ML & Deep Learning Data Science in an early-stage AI Health startup at the role and designation as a single-handed full-stack Principal Data Scientist / Sr. Data Scientist. - Hardcore in ANN /Deep Learning /Machine Learning/NLP with at least 2-20 good Applied AI-oriented Applied Research Projects & applications with hardcore experience working on ANN, CNN, RNN, and deep learning in Digital Health startups to solve specific complex problems.

What You Can Expect from Us: Here at NomiSo, we work hard to provide our team with the best opportunities to grow their careers. You can expect to be a pioneer of ideas, a student of innovation, and a leader of thought. Innovation and thought leadership is at the center of everything we do, at all levels of the company. Let's make your career great! Position Overview : We are seeking an experienced NLP & LLM Specialist to join our team. The ideal candidate will have deep expertise in working with transformer-based models, including GPT, BERT, T5,RoBERTa, and similar models. This role requires experience in fine-tuning these pre-trained models on domain-specific tasks, as well as crafting and optimizing prompts for natural language processing tasks such as text generation, summarization, question answering, classification, and translation. The candidate should be proficient in Python and familiar with NLP libraries like Hugging Face, SpaCy, and NLTK, with a solid understanding of model evaluation metrics. Roles and Responsibilities : - Model Expertise : - Work with transformer models such as GPT, BERT, T5, RoBERTa, and others for a variety of NLP tasks, including text generation, summarization, classification, and translation. - Model Fine-Tuning: Fine-tune pre-trained models on domain-specific datasets to improve performance for specific applications such as summarization, text generation, and question answering. - Prompt Engineering: Craft clear, concise, and contextually relevant prompts to guide transformer-based models towards generating desired outputs for specific tasks. - Iterate on prompts to optimize model performance. - Instruction-Based Prompting: Implement instruction-based prompting to guide the model toward achieving specific goals, ensuring that the outputs are contextually accurate and aligned with task objectives. - Zero-shot, Few-shot, Many-shot Learning: Utilize zero-shot, few-shot, and many-shot learning techniques to improve model performance without the need for full retraining. - Chain-of-Thought (CoT) Prompting: Implement Chain-of-Thought (CoT) prompting to guide models through complex reasoning tasks, ensuring that the outputs are logically structured and provide step-by-step explanations. - Model Evaluation: Use evaluation metrics such as BLEU, ROUGE, and other relevant metrics to assess and improve the performance of models for various NLP tasks. - Model Deployment: Support the deployment of trained models into production environments and integrate them into existing systems for real-time applications. - Bias Awareness: Be aware of and mitigate issues related to bias, hallucinations, and knowledge cutoffs in LLMs, ensuring high-quality and reliable outputs. - Collaboration: Collaborate with cross-functional teams including engineers, data scientists, and product managers to deliver efficient and scalable NLP solutions. Must Have Skill : - Overall 7 years with at least 5+ years of experience working with transformer-based models and NLP tasks, with a focus on text generation, summarization, question answering, classification, and similar tasks. - Expertise in transformer models like GPT (Generative Pre-trained Transformer), BERT (Bidirectional Encoder Representations from Transformers), T5 (Text-to-Text Transfer Transformer), RoBERTa, and similar models. - Familiarity with model architectures, attention mechanisms, and self-attention layers that enable LLMs to generate human-like text. - Experience in fine-tuning pre-trained models on domain-specific datasets for tasks such as text generation, summarization, question answering, classification, and translation. - Familiarity with concepts like attention mechanisms, context windows, tokenization, and embedding layers. - Awareness of biases, hallucinations, and knowledge cutoffs that can affect LLM performance and output quality. - Expertise in crafting clear, concise, and contextually relevant prompts to guide LLMs towards generating desired outputs. - Experience in instruction-based prompting - Use of zero-shot, few-shot, and many-shot learning techniques for maximizing model performance without retraining. - Experience in iterating on prompts to refine outputs, test model performance, and ensure consistent results. - Crafting prompt templates for repetitive tasks, ensuring prompts are adaptable to different contexts and inputs. - Expertise in chain-of-thought (CoT) prompting to guide LLMs through complex reasoning tasks by encouraging step-by-step breakdowns. - Proficiency in Python and experience with NLP libraries (e.g , Hugging Face, SpaCy, NLTK). - Experience with transformer-based models (e.g , GPT, BERT, T5) for text generation tasks. - Experience in training, fine-tuning, and deploying machine learning models in an NLP context. - Understanding of model evaluation metrics (e.g , BLEU, ROUGE) Qualification : - BE/B.Tech or Equivalent degree in Computer Science or related field. - Excellent communication skills in English, both verbal and written

Position Overview : We are seeking an experienced NLP & LLM Specialist to join our team. The ideal candidate will have deep expertise in working with transformer-based models, including GPT, BERT, T5, RoBERTa, and similar models. This role requires experience in fine-tuning these pre-trained models on domain-specific tasks, as well as crafting and optimizing prompts for natural language processing tasks such as text generation, summarization, question answering, classification, and translation. The candidate should be proficient in Python and familiar with NLP libraries like Hugging Face, SpaCy, and NLTK, with a solid understanding of model evaluation metrics. Roles and Responsibilities : - Model Expertise : Work with transformer models such as GPT, BERT, T5, RoBERTa, and others for a variety of NLP tasks, including text generation, summarization, classification, and translation. - Model Fine-Tuning : Fine-tune pre-trained models on domain-specific datasets to improve performance for specific applications such as summarization, text generation, and question answering. - Prompt Engineering : Craft clear, concise, and contextually relevant prompts to guide transformer-based models towards generating desired outputs for specific tasks. - Iterate on prompts to optimize model performance. - Instruction-Based Prompting : Implement instruction-based prompting to guide the model toward achieving specific goals, ensuring that the outputs are contextually accurate and aligned with task objectives. - Zero-shot, Few-shot, Many-shot Learning : Utilize zero-shot, few-shot, and many-shot learning techniques to improve model performance without the need for full retraining. - Chain-of-Thought (CoT) Prompting : Implement Chain-of-Thought (CoT) prompting to guide models through complex reasoning tasks, ensuring that the outputs are logically structured and provide step-by-step explanations. - Model Evaluation : Use evaluation metrics such as BLEU, ROUGE, and other relevant metrics to assess and improve the performance of models for various NLP tasks. - Model Deployment : Support the deployment of trained models into production environments and integrate them into existing systems for real-time applications. - Bias Awareness : Be aware of and mitigate issues related to bias, hallucinations, and knowledge cutoffs in LLMs, ensuring high-quality and reliable outputs. - Collaboration : Collaborate with cross-functional teams including engineers, data scientists, and product managers to deliver efficient and scalable NLP solutions. Must Have Skill : - Overall 7 years with at least 5+ years of experience working with transformer-based models and NLP tasks, with a focus on text generation, summarization, question answering, classification, and similar tasks. - Expertise in transformer models like GPT (Generative Pre-trained Transformer), BERT (Bidirectional Encoder Representations from Transformers), T5 (Text-to-Text Transfer Transformer), RoBERTa, and similar models. - Familiarity with model architectures, attention mechanisms, and self-attention layers that enable LLMs to generate human-like text. - Experience in fine-tuning pre-trained models on domain-specific datasets for tasks such as text generation, summarization, question answering, classification, and translation. - Familiarity with concepts like attention mechanisms, context windows, tokenization, and embedding layers. - Awareness of biases, hallucinations, and knowledge cutoffs that can affect LLM performance and output quality. - Expertise in crafting clear, concise, and contextually relevant prompts to guide LLMs towards generating desired outputs. - Experience in instruction-based prompting. - Use of zero-shot, few-shot, and many-shot learning techniques for maximizing model performance without retraining. - Experience in iterating on prompts to refine outputs, test model performance, and ensure consistent results. - Crafting prompt templates for repetitive tasks, ensuring prompts are adaptable to different contexts and inputs. - Expertise in chain-of-thought (CoT) prompting to guide LLMs through complex reasoning tasks by encouraging step-by-step breakdowns. - Proficiency in Python and experience with NLP libraries (e.g., Hugging Face, SpaCy, NLTK). - Experience with transformer-based models (e.g., GPT, BERT, T5) for text generation tasks. - Experience in training, fine-tuning, and deploying machine learning models in an NLP context. - Understanding of model evaluation metrics (e.g., BLEU, ROUGE). Qualification : - BE/B.Tech or Equivalent degree in Computer Science or related field. - Excellent communication skills in English, both verbal and written.

Mandatory Skills & Experience : - Expertise in designing and optimizing machine-learning operations, with a preference for LLM Ops. - Proficient in Data Science, Machine Learning, Python, SQL, Linux/Unix shell scripting. - Experience on Large Language Models and Natural Language Processing (NLP), and experience with researching, training, and fine-tuning LLMs. - Contribute towards fine-tune Transformer models for optimal performance in NLP tasks, if required. - Implement and maintain automated testing and deployment processes for machine learning models w.r.t LLMOps. - Implement version control, CI/CD pipelines, and containerization techniques to streamline ML and LLM workflows. - Develop and maintain robust monitoring and alerting systems for generative AI models ensuring proactive identification and resolution of issues. - Research or engineering experience in deep learning with one or more of the following : generative models, segmentation, object detection, classification, model optimisations. - Experience implementing RAG frameworks as part of available-ready products. - Experience in setting up the infrastructure for the latest technology such as Kubernetes, Serverless, Containers, Microservices etc. - Experience in scripting/programming to automate deployments and testing, working on tools like Terraform and Ansible. - Scripting languages like Python, bash, YAML etc. - Experience on CI/CD opensource and enterprise tool sets such as Argo CD, and Jenkins (others like Jenkins X, Circle CI, Argo CD, Tekton, Travis, Concourse an advantage). - Experience with the GitHub/DevOps Lifecycle. - Experience in Observability solutions (Prometheus, EFK stacks, ELK stacks, Grafana, Dynatrace, AppDynamics). - Experience in at-least one of the clouds for example Azure/AWS/GCP. - Significant experience on microservices-based, container-based or similar modern approaches of applications and workloads. - You have exemplary verbal and written communication skills (English). - Able to interact and influence at the highest level, you will be a confident presenter and speaker, able to command the respect of your audience. Desired Skills & Experience : - Bachelor level technical degree or equivalent experience; Computer Science, Data Science, or Engineering background preferred; Master's Degree desired. - Experience in LLM Ops or related areas, such as DevOps, data engineering, or ML infrastructure. - Hands-on experience in deploying and managing machine learning and large language model pipelines in cloud platforms (i.e., AWS, Azure) for ML workloads. - Familiar with data science, machine learning, deep learning, and natural language processing concepts, tools, and libraries such as Python, TensorFlow, PyTorch, NLTK etc. - Experience in using retrieval augmented generation and prompt engineering techniques to improve the model's quality and diversity to improve operations efficiency. - Proven experience in developing and fine-tuning Language Models (LLMs). - Stay up-to-date with the latest advancements in Generative AI, conduct research, and explore innovative techniques to improve model quality and efficiency. - The perfect candidate will already be working within a System Integrator, Consulting or Enterprise organisation with 8+ years of experience in a technical role within the Cloud domain. - Deep understanding of core practices including SRE, Agile, Scrum, XP and Domain Driven Design. - Familiarity with the CNCF open-source community. - Enjoy working in a fast-paced and dynamic environment using the latest technologies.

The AI Engineer with GenAI expertise is responsible for developing advanced technical solutions, integrating cutting-edge generative AI technologies. This role requires a deep understanding of modern technical and cloud-native practices, AI, DevOps, and machine learning technologies, particularly in generative models. You will support a wide range of customers through the "Ideation to MVP" journey, demonstrating proficiency in leading projects and ensuring delivery excellence. Key Responsibilities : Technical & Engineering Leadership : - Develop solutions leveraging GenAI technologies, integrating advanced AI capabilities into cloud-native architectures to enhance system functionality and scalability. - Lead the design and implementation of GenAI-driven applications, ensuring seamless integration with microservices and container-based environments. - Create solutions that fully leverage the capabilities of modern microservice and container-based environments running in public, private, and hybrid clouds. - Contribute to HCL thought leadership across the Cloud Native domain with an expert understanding of open-source technologies (i.e., Kubernetes/CNCF) and partner technologies. - Collaborate on joint technical projects with partners, including Google, Microsoft, AWS, IBM, Red Hat, Intel, Cisco, and Dell/VMware. Mandatory Skills & Experience. : - A passionate developer with 7+ years of experience in Java, Python, and Kubernetes, comfortable working as part of a paired/balanced team. - Extensive experience in software development, with significant exposure to AI/ML technologies. - Expertise in GenAI frameworks : Proficient in using GenAI frameworks and libraries such as LangChain, OpenAI API, and Hugging Face Transformers. - Prompt engineering : Experience in designing and optimizing prompts for various AI models to achieve desired outputs and improve model performance. - Strong understanding of NLP techniques and tools, including tokenization, embeddings, transformers, and language models. - Proven experience developing complex solutions that leverage cloud-native technologies-featuring container-based, microservices-based approaches; based on applying 12-factor principles to application engineering. - Exemplary verbal and written communication skills (English). - Positive and solution-oriented mindset. - Solid experience delivering Agile and Scrum projects in a Jira-based project management environment. - Proven leadership skills and the ability to lead projects to ensure delivery excellence. Desired Skills & Experience : - Machine Learning Operations (MLOps) : Experience in deploying, monitoring, and maintaining AI models in production environments using MLOps practices. - Data engineering for AI : Skilled in data preprocessing, feature engineering, and creating pipelines to feed AI models with high-quality data. - AI model fine-tuning : Proficiency in fine-tuning pre-trained models on specific datasets to improve performance for specialized tasks. AI ethics and bias mitigation : - Knowledgeable about ethical considerations in AI and experienced in implementing strategies to mitigate bias in AI models. Knowledgeable about vector databases, LLMs, and SMLs, and integrating with such models. - Proficient with Kubernetes and other cloud-native technologies, including experience with commercial Kubernetes distributions (e., Red Hat OpenShift, VMware Tanzu, Google Anthos, Azure AKS, Amazon EKS, Google GKE). - Deep understanding of core practices including DevOps, SRE, Agile, Scrum, Domain-Driven Design, and familiarity with the CNCF open-source community. - Recognized with multiple cloud and technical certifications at a professional level, ideally including AI/ML specializations from providers like Google, Microsoft, AWS, Linux Foundation, IBM, or Red Hat. Verifiable Certification : At least one recognized cloud professional / developer certification (AWS/Google/Microsoft).