861 Nlp Jobs - Page 11

As a part of Maropost, you will be contributing to a unified commerce experience that transforms ecommerce, retail, marketing automation, merchandising, helpdesk, and AI operations for fast-growing businesses. With over 5,000 global brands already benefiting from our platform, we are on a journey to empower 100,000+ brands with the same relentless focus on customer success. At Maropost, we are driven by customer obsession, extreme urgency, excellence, and resourcefulness, and we are looking for individuals who are ready to make a significant impact and be part of our transformative journey. If you are a bold thinker who thrives on change and sees opportunities in every challenge, Maropost is the place for you to turn your ideas into action. Your responsibilities will include building and managing a REST API stack for Maropost Web Apps, working on architecture design aligned with our big data and analytics product vision, driving innovation within the engineering team, and ensuring technical leadership while following industry-standard best practices. You will also be involved in designing and developing complex web applications, integrating with ML and NLP engines, and handling DevOps, DBMS, and scaling on Azure or GCP. To be successful at Maropost, you should hold a B.E./B.Tech degree and have at least 3 years of experience in building and architecting backend applications, web apps, and analytics, preferably in the commerce cloud or marketing automation domain. Your experience should also include deploying applications at scale in production systems, managing API endpoints for multimodal clients, and a strong grasp of platform security capabilities. Additionally, you should have a knack for problem-solving, efficient coding practices, and possess very strong interpersonal communication and collaboration skills. If you are enthusiastic about learning, contributing to a challenging startup environment, and embodying Maropost's core values of being Customer Obsessed, having Extreme Urgency, striving for Excellence, and being Resourceful, we encourage you to join us in our mission to drive the business forward and achieve both short and long-term goals for mutual success. Join Maropost as a builder and be a part of the team that is shaping the future of commerce and customer success. Contact us today if you are ready to make a difference and drive results that will benefit us all.,

You will be joining our team as a Python Developer in the CDRR, where the mission is to deliver first-line defences to manage Cyber and Fraud risks to Morgan Stanley's technology, operations, and information. This involves risk identification, control management, and assurance, enabling the business to operate securely and legally. The team's vision is to deliver programs that protect and enable the business, ensure secure delivery of services to clients, adapt to evolving threat landscapes, and meet regulatory expectations. In the Technology division, we leverage innovation to build connections and capabilities that power our Firm, allowing our clients and colleagues to redefine markets and shape the future of our communities. This position is a Software Engineering II role at the Associate Level, responsible for developing and maintaining software solutions that support business needs. Morgan Stanley, a global leader in financial services since 1935, operates in over 40 countries worldwide, constantly evolving and innovating to better serve clients and communities. Your Responsibilities: - Application Development: - Design, develop, and maintain scalable and efficient Python-based applications and services. - Write clean, maintainable, and well-documented code following industry best practices. - Code Reviews and Mentorship: - Conduct code reviews to ensure code quality, performance, and adherence to standards. - Mentor and guide junior developers, fostering technical growth within the team. - Integration and Automation: - Develop and maintain APIs and integrations with third-party systems. - Automate repetitive tasks and workflows to improve efficiency. - Testing and Debugging: - Write unit tests, integration tests, and perform debugging to ensure high-quality deliverables. - Identify and resolve performance bottlenecks and system issues. - Collaboration and Communication: - Work closely with product managers, DevOps, and other teams to deliver end-to-end solutions. - Communicate technical concepts effectively to both technical and non-technical stakeholders. - Continuous Improvement: - Stay updated with the latest Python frameworks, libraries, and tools. - Propose and implement improvements to existing systems and processes. - Data Handling and Analysis: - Work with large datasets, ensuring efficient data processing and storage. - Implement data pipelines and ETL processes as needed. Requirements for the Role: - 5-8 years of development experience in Python. - 2-5 years of experience in Angular or any other UI development skills. - Strong networking background in IP, Firewalls, Proxy, Routing, Load Balancing, OSI Model, Packet trace and analysis. - Good understanding of web protocols like TCP/IP, HTTP, SSL/TLS, etc. - Hands-on experience in understanding data sets from various cybersecurity products/services/SIEM tools. - Understanding of data structures, data modeling, and software architecture. - Experience in architecture, design, and implementation of data-intensive applications. - Practical knowledge of deep learning implementation in areas like Cyber, NLP, Image Processing. - Strong quantitative and problem-solving skills. - Expertise in visualizing large datasets efficiently. - Ability to work in a fast-paced and dynamic environment. - Good written and verbal communication skills. - Strong sense of ownership and accountability for deliverables. At Morgan Stanley, we are committed to maintaining first-class service and excellence, guided by our values of putting clients first, doing the right thing, leading with exceptional ideas, committing to diversity and inclusion, and giving back. Our inclusive environment supports individuals to maximize their potential, with a diverse and skilled workforce reflecting global communities. Join us and work alongside the best and brightest in an empowering environment with attractive benefits and opportunities for growth and advancement.,

Job Description About the Job WonDRx (pronounced as Wonder-Rx) is an innovative and disruptive technology platform in healthcare, aiming to connect patients, doctors, and the entire healthcare ecosystem on a single platform. We are looking for a Data Analytics and Research Manager (AI-driven) to lead analytics and insights strategy aligned with our fast-growing product and business goals. This person will manage data pipelines, apply AI/ML models, perform healthcare research, and build a small but high-performing analytics team. Key Responsibilities Define and lead the data and analytics roadmap. Design and manage health data pipelines, dashboards, and KPIs. Apply ML/NLP for patient behavior prediction and analytics automation. Conduct market and competitor research to support business strategies. Collaborate across teams and present insights to CXOs. Mentor a data analytics team ensuring accuracy and impact. Tools & Technologies Languages: SQL, Python/R AI/ML: scikit-learn, TensorFlow BI Tools: Power BI, Tableau, Looker Cloud Stack: BigQuery, Snowflake, AWS, Databricks GenAI Tools: ChatGPT, Copilot, Custom LLMs Qualifications Bachelors/Masters in Data Science, Statistics, Engineering, or related. 6-10 years in analytics with at least 2+ years in a leadership role. Strong business acumen, preferably in healthcare/life sciences. Hands-on AI/ML experience. Excellent communication and storytelling skills. Join us to transform the healthcare experience for millions.,

You are a technology-led healthcare solutions provider with a strong purpose to enable healthcare organizations to be future-ready. You offer accelerated global growth opportunities for individuals who are bold, industrious, and nimble. At Indegene, you provide a unique career experience that celebrates entrepreneurship and is driven by passion, innovation, collaboration, and empathy. Indegene values the importance of the early years of your career, recognizing that they lay the foundation for your professional journey. By joining the team, you can expect a differentiated career experience that exposes you to the dynamic intersection of healthcare and technology. You will have the opportunity to be mentored by industry experts and grow alongside the company's high-speed expansion on a global scale. As a Competency Leader, your role involves leading the design, development, and deployment of advanced AI and Generative AI solutions that bring substantial business value to pharma clients. You should possess extensive hands-on experience with AI/ML frameworks, cloud platforms, MLOps, and a deep understanding of GenAI technologies. Key Responsibilities: - Design, develop, and optimize AI/ML models for practical applications ensuring high performance, scalability, and reliability. - Innovate using advanced GenAI technologies to address complex business challenges. - Implement and manage end-to-end MLOps pipelines, including CI/CD, model monitoring, retraining workflows, and versioning. - Architect and deploy scalable, cost-effective AI/ML solutions on cloud platforms such as AWS and Azure. - Collaborate with cross-functional stakeholders to align AI solutions with business objectives. - Mentor and guide junior engineers, fostering innovation and adherence to best practices in AI/ML development and deployment. - Develop and train Generative AI models. - Perform data analysis and prepare data for AI model training. - Integrate AI models with Snowflake, AWS, and other systems. Required Knowledge: - 10+ years of experience in AI/ML development and deployment, including leadership roles. - Good knowledge of machine learning and Generative AI, especially content generation using AWS Bedrock and OpenAI-based models. - Proficiency in working with GenAI tools and technologies such as LLMs, RAG, OpenAI APIs, LangChain, Streamlit, and vector databases. - Experience in building scalable (Gen) AI applications on AWS. - Strong background and understanding of vector databases. - Good knowledge of Python for data science and streamlit for rapid deployment of prototypes. - Experience working in an agile environment. - Experience in setting up and using CI/CD pipelines as well as writing software in a test-driven fashion. - Experience in building (Gen) AI solutions on Snowflake is a plus. - Experience with Agentic AI build. Key Skills: Python, AI/ML Expertise, Deep Learning, NLP, MLOps, Cloud Platforms (AWS, Azure), GenAI (LLM, RAG, OpenAI), LangChain, Streamlit, API Architecture, Leadership, Business-Aligned Problem Solving, Prompt Engineering, Knowledge of Vector Databases. EQUAL OPPORTUNITY If you are excited about the prospect of contributing to cutting-edge AI solutions in the healthcare industry and are ready to take on a challenging yet rewarding role, we encourage you to apply.,

You should have at least 6 years of experience in designing and developing enterprise and/or consumer-facing applications using technologies like JavaScript, Node.js, ReactJS, Angular, SCSS, CSS, and React Native. Additionally, you should possess 3+ years of experience in leading teams, guiding, designing, and tracking project progress to ensure timely delivery. Your hands-on experience with both SQL and NoSQL databases, as well as working in a Linux OS environment, will be valuable for this role. Strong debugging and problem-solving skills are essential, along with a proven track record in developing responsive web applications. Excellent communication skills, both verbal and written, are required to effectively interact with customers. You should also have the ability and interest to learn new technologies as needed. Experience in the product development lifecycle, including prototyping, hardening, and testing, is highly desirable. Furthermore, working knowledge of Python and NoSQL databases such as MongoDB and Cassandra is preferred. Your eagerness to contribute to product functional and user experience designs, along with experience in AI, ML, NLP, and Predictive Analytics domains, will be advantageous. Familiarity with i18n, the latest UI/UX design trends, and experience with CI/CD tools like Jenkins and Nginx are also beneficial for this role.,

You will be responsible for building deep learning models using TensorFlow/PyTorch. Collaborate with the team to ensure proper testing and deployment of the models. Demonstrate good knowledge and understanding of Deep Learning Algorithms in both NLP (LSTMs, RNNs, etc.) and Computer Vision (CNNs, etc.) domain, as well as TensorFlow and deep learning frameworks like Keras, PyTorch to solve real-life problems. Create and update documentation for the work done. Understand deep learning algorithms implementation from scratch such as LSTM, RNNs, DNNs, BI-LSTMs. Work on Computer Vision and Image processing, as well as TRANSFER LEARNING - GANs. Minimum qualifications include a Master or PhD degree in Statistics, Applied Mathematics, or similar quantitative discipline, or equivalent practical experience. Relevant internship or work experience with data analysis. Experience with statistical software (R, Python, S-Plus, SAS, or similar) and database languages (e.g. SQL) is required. Preferred qualifications include a Master's or B.Tech in relevant field. Your responsibilities will include researching on given machine learning/data science topics for writing articles for company websites. Assist with hands-on coding on Jupyter Notebook for providing code snippets in the articles. Work on short projects & assignments, deployment techniques, and design and implement machine learning, information extraction, probabilistic matching algorithms and models. Use your passion for programming and deep learning/AI skills using Python, TensorFlow, and deep learning frameworks like Keras, PyTorch to solve real-life problems. Develop AI solutions in the computer vision domain using convolutional neural networks (CNN) and a combination of deep neural networks such as CNN & RNN. Solve object detection, recognition, image classification problems using machine learning and deep learning algorithms & transfer learning methods and techniques. Use innovative & automated approaches for data annotation, labeling, and data augmentation & use active learning. Handle online code assistance, code mentoring, and education-based solutions. Perks include Certificate, Letter of recommendation, Flexible work hours, Informal dress code, 5 days a week, Free snacks & beverages.,

As an AI Engineer at GenAI & Applied ML, you will have the opportunity to work with cutting-edge AI technologies, particularly in Generative AI, Large Language Models (LLMs), and applied machine learning. Your role will involve designing, building, and deploying AI solutions using platforms like OpenAI, Hugging Face, and Cohere, specifically for applications in document intelligence, automation, and Q&A systems. You will collaborate with product and engineering teams to integrate AI features into scalable platforms, utilizing tools like Lang Chain, Flask, and AWS/GCP to deploy models effectively. Your key responsibilities will include integrating RAG (Retrieval-Augmented Generation), prompt engineering, and zero/few-shot learning for domain-specific applications, and developing NLP models using advanced techniques such as NER, topic modeling, embeddings (Word2Vec, FastText), and transformers (BERT, GPT). Additionally, you will be automating data extraction, classification, and analysis using Python, Selenium, and web scraping tools, while utilizing frameworks like TensorFlow, PyTorch, and Scikit-learn for training deep learning models across NLP, CV, and recommendation domains. To qualify for this role, you should hold a Bachelor's/masters degree in computer science, AI/ML, Data Science, or related fields, along with at least 1+ years of hands-on experience in building AI/ML models. Proficiency in Python and ML frameworks such as PyTorch, TensorFlow, and Scikit-learn is essential, as well as familiarity with LLM orchestration frameworks, cloud platforms like AWS, GCP, or Azure, and a strong understanding of NLP, Computer Vision, or Recommendation Systems. Experience with SQL, data pipelines, and big data tools like Hadoop and Spark would be advantageous, along with a good understanding of explainable AI (XAI) and model interpretability. Nice to have for this role would be projects or experience in healthcare AI, document processing, or legal/finance AI applications, familiarity with Flask/Django for API development, and contributions to research or published papers in ML/NLP conferences. Join our team and be part of our mission to solve real-world problems through AI innovation and technology.,

You will be joining Observe.AI, a company that is revolutionizing customer service by leveraging AI agents to automate routine customer calls and workflows, support agents in real time, and uncover insights from interactions. Trusted by renowned brands, Observe.AI aims to enhance automation, provide faster and consistent service, and foster stronger customer loyalty. As a part of the Machine Learning team at Observe.AI, you will play a pivotal role in developing cutting-edge AI capabilities for the company's product offerings. Your responsibilities will include designing and implementing state-of-the-art AI solutions, optimizing ML models and processing pipelines, and collaborating with cross-functional teams to address business challenges. To excel in this role, you should possess a Bachelor's or Master's degree in Computer Science or a related field, along with at least 5 years of experience in building large-scale NLP systems. A strong understanding of ML and NLP fundamentals, proficiency in Python and ML frameworks like Pytorch and Tensorflow, and the ability to provide thought leadership in technical areas are essential requirements. Additionally, experience with Spoken Language Understanding, published papers in NLP conferences, and open-source contributions are considered advantageous. Observe.AI offers a competitive compensation package, including medical insurance, leaves as per regulations, generous holidays, learning and development support, and flexible benefit plans. The company is committed to fostering an inclusive and diverse workplace, welcoming individuals from all backgrounds and encouraging them to apply. If you are passionate about leveraging AI to drive innovation in customer service, and if you possess the required skills and experience, we invite you to be a part of Observe.AI's mission to redefine customer interactions and experiences.,

You should have a minimum of 3 years of experience working with transformer-based models and NLP, preferably in a healthcare context. Your track record should demonstrate strong proficiency in fine-tuning, running large-scale training jobs, and managing model servers like vLLM, TGI, or TorchServe. Proficiency in data science tools such as Pandas, Notebooks, Numpy, and Scipy is essential. Experience with both relational and non-relational databases is required for this role. You should have extensive experience working with TensorFlow or PyTorch, and familiarity with HuggingFace. Knowledge of model analysis and experimentation frameworks such as MLFlow, W&B, and tfma would be advantageous. Being comfortable with a Linux environment and adhering to stringent data security practices is crucial for this position. You will be required to pass a rigorous vetting process, including extensive background checks, to ensure the highest standards of data security and integrity. Your skills should include Machine Learning, NLP, and Notebooks.,

You will be responsible for leading AI/ML project implementation, starting from data collection and model development to deployment and optimization. Your role will involve creating, customizing, and deploying Custom GPTs tailored to specific business needs and real-world use cases. You will also be required to integrate OpenAI technologies, including Custom GPTs, into company systems to enhance automation and decision-making processes. Furthermore, you will develop and deploy predictive models and machine learning algorithms to address real-world challenges in the real estate sector. Collaboration with cross-functional teams to design AI-driven products and provide data-driven insights to guide business strategy will be a key aspect of your responsibilities. To qualify for this role, you should have at least 5 years of experience in Data Science, Machine Learning, and AI project implementation, with a strong ability to deploy models in production environments. Proven expertise in integrating OpenAI technologies, including developing and deploying Custom GPTs for business applications, is essential. You should possess a strong proficiency in programming languages such as Python or R, along with experience in machine learning libraries like TensorFlow, PyTorch, and other related tools. Additionally, solid experience with cloud platforms (AWS, GCP, Azure), knowledge of data pipelines, MLOps tools (e.g., Docker, Kubernetes), and machine learning deployment processes are required. A strong understanding of Natural Language Processing (NLP), deep learning models, and data analytics is necessary, with a preference for experience in real estate industry applications. Your skills should include expertise in Gen AI, NLP, SQL, and Machine Learning. About UST: UST is a global digital transformation solutions provider that has been partnering with the world's best companies for over 20 years to drive real impact through transformation. With a workforce of over 30,000 employees in 30 countries, UST is committed to embedding innovation and agility into their clients" organizations. Powered by technology, inspired by people, and led by purpose, UST collaborates with clients from design to operation, ensuring a future-proof philosophy that touches billions of lives in the process.,

You should have at least 2+ years of experience in Machine Learning and Natural Language Processing. Your programming skills should be strong in Python. It is essential to have knowledge of SQL and NoSQL databases. Your expertise should include writing robust code in Python and working with both structured and unstructured data, involving data extraction, integration, and normalization. You should be proficient in ML frameworks/libraries like Tensorflow, Pytorch, ONNX, Scikit Learn, Keras, and Spacy. Additionally, you should possess expert skills in manipulating data frames using Pandas and arrays using NumPy. Experience with big data frameworks such as Spark and Hadoop would be considered a plus. Moreover, familiarity with containerizing applications using docker is also desirable.,

You should have the ability to work with large data sets using Python and possess a strong background in Python programming, MySQL, Linux, and Machine Learning. It is essential to have basic knowledge of other relevant technologies such as Cloud computing, Jupyter Notebook, Machine learning algorithms, TensorFlow, PyTorch, Tesseract OCR, and NLP techniques including models like SpaCy, Bert, NLTK, and AutoML. You will be required to work through the phases of the project. This is a full-time job that requires you to work in person. The interview will be conducted in person, and there are no telephonic interviews scheduled. The job follows a Day shift and Morning shift schedule. A Bachelor's degree is preferred for this role. Additionally, having 1 year of experience in C++ is required for this position.,

Job Description: Dreaming big is in our DNA. It's who we are as a company, our culture, our heritage, and more than ever, our future. A future where we're always looking forward, serving up new ways to meet life's moments, and where we keep dreaming bigger. We look for individuals with passion, talent, and curiosity and provide them with teammates, resources, and opportunities to unleash their full potential. The power we create together, when we combine your strengths with ours, is unstoppable. Are you ready to join a team that dreams as big as you do AB InBev GCC, incorporated in 2014 as a strategic partner for Anheuser-Busch InBev, leverages the power of data and analytics to drive growth for critical business functions such as operations, finance, people, and technology. The teams are transforming Operations through Tech and Analytics. Do you dream big We need you. Job Title: Senior Data Scientist Location: Bangalore Reporting to: Senior Manager Purpose of Role: - Understand and solve complex business problems with sound analytical prowess to provide impactful insights in decision-making. - Ensure any implementation roadblocks are communicated to the Analytics Manager to prevent project timeline delays. - Document every aspect of the project in a standard way for future reference. - Articulate technical complexities to senior leadership in a simple and easy-to-understand manner. Key Tasks and Accountabilities: - Understand business problems and collaborate with stakeholders to translate them into data-driven analytical/statistical problems during the solution-building process. - Create appropriate datasets and develop statistical data models. - Translate complex statistical analyses over large datasets into insights and actionable steps. - Analyze results and present findings to stakeholders. - Communicate insights using business-friendly presentations. - Mentor other Data Scientists/Associate Data Scientists. - Build a project pipeline in Databricks that is production-ready. - Develop dashboards (preferably in Power BI) for easy consumption of solutions. Qualifications, Experience, Skills: - Level of Educational Attainment Required: Bachelor's/Master's Degree in Statistics, Applied Statistics, Economics, Econometrics, Operations Research, or any other quantitative discipline. - Previous Work Experience: Minimum 4-6 years in a data science role, building, implementing, and operationalizing end-to-end solutions. - Expertise strongly desired in building statistical and machine learning models for classification, regression, forecasting, anomaly detection, dimensionality reduction, clustering, etc. - Exposure to optimization and simulation techniques (good to have). - Expertise in building NLP-based language models, sentiment analysis, text summarization, and Named Entity Recognition. - Proven skills in translating statistics into insights, with sound knowledge in statistical inference and hypothesis testing. - Mandatory: Microsoft Office, Expert in Python, Advanced Excel. - An undying love for beer!,

The Conversational AI team at Walmart is responsible for building and deploying core AI assistant experiences across Walmart, catering to millions of active users globally. As a Staff Data Scientist, you will play a crucial role in leading the evolution of the AI assistant platform by developing highly scalable Generative AI systems and infrastructure. This hands-on leadership position requires expertise in machine learning, ASR, large-scale distributed systems, multi-modal LLMs, and more. Your responsibilities will include partnering with key business stakeholders to drive the development and planning of proof of concepts and production AI solutions within the Conversational AI space. You will be involved in translating business requirements into strategies, initiatives, and projects aligned with business objectives. Designing, testing, and deploying cutting-edge AI solutions at scale to enhance customer experiences will be a key aspect of your role. Collaboration with applied scientists, ML engineers, software engineers, and product managers will be essential in developing the next generation of AI assistant experiences. Staying updated on industry trends in Generative AI, Speech/Video processing, and AI assistant architecture patterns will be crucial. Additionally, providing technical leadership, guidance, and mentorship to a skilled team of data scientists, as well as driving innovation through problem-solving cycles and research publication, are integral parts of this role. To qualify for this position, you should have a Master's degree with 8+ years or a Ph.D. with 6+ years of relevant experience in Computer Science, Statistics, Mathematics, or a related field. A strong track record in a data science tech lead role, extensive experience in designing and deploying AI products, and expertise in machine learning, NLP, speech processing, image processing, and deep learning models are required. Proficiency in industry tools and technologies, a deep interest in generative AI, and exceptional decision-making skills will be assets in this role. Furthermore, you should possess a thorough understanding of distributed technologies, public cloud platforms, and big data systems, along with experience working with geographically distributed teams. Business acumen, research acumen with publications in top-tier AI conferences, and strong programming skills in Python and Java are also essential qualifications for this position. Join the Conversational AI team at Walmart Global Tech, where you will have the opportunity to make a significant impact, innovate at scale, and shape the future of retail while working in a collaborative and inclusive environment.,

As a part of the global leader in Cloud, AI, and Digital technologies, you will be responsible for leveraging GenAI models and frameworks to enhance the efficiency and productivity of businesses worldwide. Your role will involve serving as the primary technical expert for GenAI technologies, focusing on developing, implementing, and optimizing advanced AI models and solutions to expand our GenAI footprint across clients. You will provide technical leadership, drive innovation, and ensure the successful integration of AI technologies into our IT services for clients. Your responsibilities will include defining best practices, standards, and templates for AI solutions, conducting workshops, demos, and client presentations on GenAI use cases, and collaborating closely with cross-functional teams to identify, evaluate, and implement use cases across different customers. In addition, you will evaluate and integrate emerging GenAI technologies to enhance conversational AI capabilities, provide technical leadership, mentorship, and guidance to teams, troubleshoot and resolve complex platform integration and functionality issues. You will also be hands-on in independently building quick prototypes and demonstrating them to key decision-makers. To be successful in this role, you should have 10+ years of total IT experience with at least 3-4 years of hands-on experience with AI/GenAI technologies. Expertise in NLP, NLU, NLQ, and NLG technologies is essential, along with Core Python proficiency to build applications and engineer GenAI solutions at an enterprise scale. You must have delivered production-grade projects on agentic AI frameworks, as well as hands-on experience with agentic AI frameworks such as Autogen, Langraph, or Crew.AI. Experience with NLQ to SQL-based GenAI applications using core Python tools and frameworks, databases, data warehouses, and data lakes on cloud platforms is required. Deep knowledge of architecting product-scale GenAI applications on Microsoft Azure Cloud, AWS Cloud, or GCP cloud environments is a must. Strong programming skills in Python, Node.js, Java, or similar, API programming, familiarity with LLMs, prompt engineering, fine-tuning, and embeddings are desired. Excellent problem-solving skills, solution architecture capabilities, and client-facing communication skills are essential. The ability to translate business needs into technical solutions, manage multiple projects and priorities in a fast-paced environment, and work with cloud platforms is crucial. Moreover, expertise in building technical proposals with winning engineering architectures and technical articulation for CXO level audience, and experience in developing fast PoVs and blueprints on new and emerging GenAI models, tools, frameworks, and other stack will be advantageous for this role.,

Job Description: As the Digital Transformation Lead at Godrej Agrovet Limited (GAVL) in Mumbai, you will play a crucial role in driving innovation and productivity in the agri-business sector. GAVL is dedicated to enhancing the livelihood of Indian farmers by developing sustainable solutions that enhance crop and livestock yields. With leading market positions in Animal Feed, Crop Protection, Oil Palm, Dairy, Poultry, and Processed Foods, GAVL is committed to making a positive impact on the agricultural industry. With an impressive annual sales figure of 6000 Crore INR in FY 18-19, GAVL has a widespread presence across India, offering high-quality feed and nutrition products for cattle, poultry, aqua feed, and specialty feed. The company operates 50 manufacturing facilities, has a network of 10,000 rural distributors/dealers, and employs over 2500 individuals. At GAVL, our people philosophy revolves around the concept of tough love. We set high expectations for our team members, recognizing and rewarding performance and potential through career growth opportunities. We prioritize the development, mentoring, and training of our employees, understanding that diverse interests and passions contribute to a strong team dynamic. We encourage individuals to explore their full potential and provide a supportive environment for personal and professional growth. In this role, you will utilize your expertise as a Data Scientist to extract insights from complex datasets, develop predictive models, and drive data-driven decisions across the organization. You will collaborate with various teams, including business, engineering, and product, to apply advanced statistical methods, machine learning techniques, and domain knowledge to address real-world challenges. Key Responsibilities: - Data Cleaning, Preprocessing & Exploration: Prepare and analyze data, ensuring quality and completeness by addressing missing values, outliers, and data transformations to identify patterns and anomalies. - Machine Learning Model Development: Build, train, and deploy machine learning models using tools like MLflow on the Databricks platform, exploring regression, classification, clustering, and time series analysis techniques. - Model Evaluation & Deployment: Enhance model performance through feature selection, leveraging distributed computing capabilities for efficient processing, and utilizing CI/CD tools for deployment automation. - Collaboration: Work closely with data engineers, analysts, and stakeholders to understand business requirements and translate them into data-driven solutions. - Data Visualization and Reporting: Create visualizations and dashboards to communicate insights to technical and non-technical audiences using tools like Databricks and Power BI. - Continuous Learning: Stay updated on the latest advancements in data science, machine learning, and industry best practices to enhance skills and processes. Required Technical Skills: - Proficiency in statistical analysis, hypothesis testing, and machine learning techniques. - Familiarity with NLP, time series analysis, computer vision, and A/B testing. - Strong knowledge of Databricks, Spark DataFrames, MLlib, and programming languages (Python, TensorFlow, Pandas, scikit-learn, PySpark, NumPy). - Proficient in SQL for data extraction, manipulation, and analysis, along with experience in MLflow and cloud data storage tools. Qualifications: - Education: Bachelors degree in Statistics, Mathematics, Computer Science, or a related field. - Experience: Minimum of 3 years in a data science or analytical role. Join us at Vikhroli, Mumbai, and be a part of our mission to drive digital transformation and innovation in the agricultural sector at Godrej Agrovet Limited.,

As an AI/ML Developer, you will be an integral part of our team of researchers, data scientists, and developers. Your primary responsibility will be to work on cutting-edge AI solutions in various industries such as commerce, agriculture, insurance, financial markets, and procurement. This will involve developing and optimizing machine learning and generative AI models to address real-world challenges effectively. Your key responsibilities will include developing and optimizing ML, NLP, Deep Learning, and Generative AI models. You will be expected to research and implement state-of-the-art algorithms for both supervised and unsupervised learning. Working with large-scale datasets in distributed environments will be a crucial aspect of your role. It is essential to have a deep understanding of business processes to select and apply the most suitable ML approaches and ensure the scalability and performance of ML solutions. Collaboration with cross-functional teams, including product owners, designers, and developers, will be essential for the success of projects. You will be required to solve complex data integration and deployment challenges and effectively communicate results using data visualization techniques. As part of a global team, you will collaborate across different time zones. The ideal candidate will have strong experience in Machine Learning, Deep Learning, NLP, and Generative AI. Hands-on expertise in frameworks like TensorFlow, PyTorch, or Hugging Face Transformers is crucial. Experience with Large Language Models (LLMs), model fine-tuning, and prompt engineering is highly desirable. Proficiency in Python, R, or Scala for ML development is required, along with knowledge of cloud-based ML platforms such as AWS, Azure, or GCP. Experience with big data processing tools like Spark, Hadoop, or Dask is a plus. The ability to scale ML models from prototypes to production, coupled with strong analytical and problem-solving skills, will be key to excelling in this role. If you are passionate about pushing the boundaries of ML and Generative AI, we are excited to hear from you!,

As a Data Scientist in our team, you will be responsible for manipulating and preprocessing structured and unstructured data to prepare datasets for analysis and model training. You will utilize Python libraries such as PyTorch, Pandas, and NumPy for data analysis, model development, and implementation. Additionally, you will fine-tune large language models (LLMs) to meet specific use cases and enterprise requirements. Collaboration with cross-functional teams to experiment with AI/ML models and iterate quickly on prototypes is also a key aspect of your role. Your responsibilities will include optimizing workflows to ensure fast experimentation and deployment of models to production environments. You will be expected to implement containerization and basic Docker workflows to streamline deployment processes. Writing clean, efficient, and production-ready Python code for scalable AI solutions is crucial for this role. It would be beneficial if you have exposure to cloud platforms like AWS, Azure, or GCP, knowledge of MLOps principles and tools, and a basic understanding of enterprise Knowledge Management Systems. The ability to work against tight deadlines, independently handle unstructured projects, and showcase strong initiative and self-motivation are desirable traits. Strong communication, collaboration acumen, and a problem-solving mindset with attention to detail are also highly valued. Required skills for this role include proficiency in Python with strong skills in libraries like PyTorch, Pandas, and NumPy, experience in handling both structured and unstructured datasets, and familiarity with fine-tuning LLMs and modern NLP techniques. A basic understanding of Docker and containerization principles, along with the demonstrated ability to experiment, iterate, and deploy code rapidly in a production setting, are essential. You should also possess the ability to learn and adapt quickly in a fast-paced, dynamic environment. In return, we offer you the opportunity to work on cutting-edge AI technologies and impactful projects, a collaborative and growth-oriented work environment, competitive compensation, and benefits package, as well as the chance to be a part of a team shaping the future of enterprise intelligence.,

As a Global Data Scientist II at Worley, your main responsibility will be to understand business objectives and develop models to help achieve them. You will be utilizing existing frameworks and standards to create architectural foundation and services necessary for AI applications that scale from multi-user to enterprise class. Managing the Data Science project life cycle from exploratory data analysis to productization will also be a key aspect of your role. You will collaborate with Architecture, Data Warehouse, and Data Governance teams to provide analytics as a service, mentor team members for AI/ML development, and ensure data quality through data cleaning and acquisition processes. Your role will involve defining validation strategies, preprocessing or feature engineering on datasets, data augmentation pipelines, training models, and tuning hyperparameters. You will also be responsible for analyzing model errors, designing strategies to overcome them, and deploying models to production. Development of ML algorithms to solve problems and exploring and visualizing data to gain insights will be part of your daily tasks. To succeed in this role, you should have proven experience as a Data Scientist in AI/ML or similar roles, with the ability to write robust code in Python. Experience in Generative AI components, supervised/semi-supervised and unsupervised machine learning algorithms, cognitive APIs, NLP, image processing with deep learning, and the complete AI/ML project life cycle is required. Strong knowledge of data structures, data modeling, and software architecture is essential. In addition to technical skills, you should possess outstanding analytical and problem-solving abilities, excellent communication skills, and the capacity to work independently or as part of a cross-domain team. Taking ownership of tasks and being accountable for deliverables will be crucial in this role. To qualify for this position, you should have a minimum of 4-7 years of experience as a Data Scientist on AI and ML projects and hold a Masters in information technology, Big Data, Data Science, AI, Computer Science, or a related field. At Worley, our focus is on fostering a values-inspired culture that encourages belonging, connection, and innovation. We are committed to reskilling our workforce and supporting their transition to becoming experts in low carbon energy infrastructure and technology. Join us to broaden your horizons, explore diverse opportunities, and contribute to delivering sustainable change.,

As a Data Scientist at Amdocs, you will be part of a global team that is dedicated to accelerating service providers" migration to the cloud, enabling differentiation in the 5G era, and digitalizing and automating operations. You will play a hands-on role in developing algorithms and performing data mining to provide valuable insights from data. Located in Pune, your responsibilities will include handling GenAI use cases, developing Databricks jobs for data ingestion, and creating partnerships with project stakeholders to provide technical assistance on important decisions. Your technical skills should include experience in Deep learning engineering, particularly in MLOps, strong NLP/LLM experience, and proficiency in Pyspark/Databricks & Python programming. You will be responsible for building backend applications using Python and Deep learning frameworks, deploying models, and building APIs. Experience with GPU, vector databases like Milvus, Azure cognitive search, and transformers will be essential. Knowledge of Kubernetes, Docker, cloud experience with VMs and Azure storage, as well as sound data engineering experience, would be advantageous. In this role, you will ensure timely resolution of critical issues within the agreed SLA, creating a positive customer support experience and building strong relationships with customers. You will also demonstrate an understanding of key business drivers to ensure strategic directions are followed for organizational success. Amdocs is a dynamic, multi-cultural organization that fosters innovation and empowers employees to grow. You will work in a diverse, inclusive workplace alongside passionate and dedicated teammates. Amdocs offers a wide range of benefits including health, dental, vision, and life insurance, paid time off, sick time, and parental leave. As an equal opportunity employer, Amdocs welcomes applicants from all backgrounds and is committed to fostering a diverse and inclusive workforce.,

Senior Data Scientist JD As a Senior Data Scientist working at TTEC Digital, you will work on a team with diverse clients and industries to create data-driven solutions, develop cutting edge algorithms and provide expert insights to increase our understanding of customer behavior and needs. You will help clients turn data into actionable insights that drive tangible outcomes, improve performance and help clients lead the market. This position requires in-depth understanding and use of statistical and data analysis tools. What youll be doing: Build new analytics solutions; as well as analyze pre-existing analytic solutions, provide suggestions on how to evolve, and improve their efficiency and effectiveness Build client facing presentations to review analytic results and ability to convey technical concepts around analytic solutions to non-technical audiences in compelling story ¢ Where required, work as independent contributor on projects, managing end-to-end deliverables ¢ Handle communications with internal & external stakeholders, scope client requirements, develop analytics frameworks/solutions and implement and deploy solutions What skillsets we are looking for: ¢ 4-6 years in analytics domain developing & deploying ML/AI solutions ¢ 1+ years working on NLP projects text mining, having used LLMs, worked on Hugging Face/Transformer models; worked on publicly available LLM APIs ¢ Proficient level of understanding in machine learning and deep learning methods ¢ Excellent programming skills in Python, Pandas, PySpark & SQL ¢ Excellent communication skills ability to describe findings to technical and non-technical audience ¢ Good knowledge of MS office suite of products (Excel and PowerPoint) ¢ Ability to create end-to-end PowerPoint presentations (outline, visualization, results, summary) that are client-ready ¢ Experience with at least one of the following: Azure, GCP, Databricks, AWS; GCP is preferred Who we are: TTEC Digital Consulting is a pioneer in customer experience, engagement and growth solutions. We utilize a holistic approach, applying solutions from both our Engage and Digital segments to help companies provide an amazing experience to their customers, inspire customer loyalty, and grow their business. We provide end-to-end advisory and execution services, giving leaders the confidence and tools to re-think how to compete with a combination of our logic, intellect and ability to make sense of the data with our creativity and experience. TTEC Digital Analytics India 12th Floor, SALARPURIA SATTVA KNOWLEDGE CITY, HITEC City, Hyderabad, Telangana 500081

Senior Engineer (GenAI & Prompt Engineering) Company : Xebia | Job Type : Fulltime| Location : Hybrid Chennai, Bangalore, Hyderabad, Pune, Jaipur, Bhopal, Gurugram (India) Job Summary Xebia is hiring an experienced GenAI Engineer to lead initiatives embedding LLMs into internal DevOps and Engineering workflows. This is a hands-on opportunity for AI engineers with strong Python and prompt engineering skills. Key Responsibilities Design and optimize LLM prompts for contextual accuracy Build RAG architectures using FAISS, Pinecone, Weaviate , etc. Integrate LLMs into CI/CD pipelines, dashboards, internal tools Use LangChain, LlamaIndex, HuggingFace, Haystack frameworks Fine-tune LLMs (OpenAI, Claude, Cohere, Mistral) for enterprise use cases Ensure compliance, security, and performance of AI systems Collaborate across teams to identify automation opportunities Required Skills & Experience 6-10 years total experience with 2+ years in GenAI/LLM/NLP systems Strong in Python, vector DBs, embedding techniques Hands-on with LLM APIs , GenAI libraries, and NLP concepts Prior experience building contextual AI agents or CI/CD automation using LLMs Nice to Have Familiarity with multi-modal models , DevSecOps, Kubernetes Experience with developer-facing GenAI use cases (log triage, changelogs, copilots) Other Details Mode : Hybrid (3 days a week in-office) Locations : Chennai / Bangalore / Hyderabad / Pune / Jaipur / Bhopal / Gurugram Notice Period : Immediate to max 2 weeks Contract Role To Apply Send the following details to vijay.s@xebia.com : Full Name Total Experience Current CTC Expected CTC Current Location Preferred Xebia Location Notice Period / Last Working Day Primary Skills LinkedIn Profile Keywords : GenAI, Prompt Engineering, RAG, LangChain, Python, FAISS, LLM, LangChain, Vector DB, HuggingFace, LlamaIndex, CI/CD, Automation, DevOps, AI, NLP

You should be proficient in programming languages such as Python and R. You must have a strong understanding of machine learning algorithms and frameworks like TensorFlow, PyTorch, and scikit-learn. Experience with conversational AI platforms, especially Oracle Digital Assistant, is preferred. Additionally, you should have familiarity with data processing tools and platforms such as Apache Spark and Hadoop. It is essential to be familiar with Oracle Cloud Infrastructure (OCI) and its services for deploying ODA & AI/ML models. Experience with natural language processing (NLP) techniques and libraries like NLTK and SpaCy is required. Understanding deep learning architectures for NLP, such as transformers and BERT, is a plus. Knowledge of containerization and orchestration tools like Docker and Kubernetes is beneficial. Moreover, you should possess skills in statistical analysis and data visualization using the R-language. This position is full-time and requires working the morning shift. Ideally, candidates should have at least 2 years of experience in AI/ML. The work location is in person.,

As an AI/ML Engineer at Left Right Mind, you will be part of our dynamic team working on cutting-edge GenAI solutions and deploying large language models (LLMs) for real-world applications. Your primary responsibilities will include developing and deploying AI/ML models to address business challenges, optimizing LLMs for specific domains, and building end-to-end ML pipelines encompassing data preprocessing, training, and evaluation. Additionally, you will work with both structured and unstructured data to extract valuable insights and collaborate closely with engineers to bring models into production effectively. We expect you to stay abreast of the latest advancements in GenAI, RAG, and LLM research, leveraging tools such as LangGraph, Autogen, TensorFlow, and PyTorch. Experience with deploying solutions on cloud platforms like AWS, Azure, or GCP using Docker/Kubernetes will be beneficial. The ideal candidate should possess a minimum of 4 years of experience in AI/ML, demonstrate proficiency in Python programming and ML frameworks, and have hands-on experience with LLMs like OpenAI GPT, Gemini, or Claude. Moreover, familiarity with NLP, feature engineering, and model optimization, along with strong problem-solving and teamwork skills, are highly valued traits in this role. At Left Right Mind, we foster a culture of exploration, inquiry, and innovation. Our work is purpose-driven and fueled by curiosity. If you are passionate about pushing the boundaries of AI/ML and eager to contribute to impactful projects, we encourage you to apply by filling out the form: [Application Form](https://lnkd.in/dtdBVTHE). For any inquiries or additional information, feel free to contact varad.deshpande@leftrightmind.com.,

As the AVP-AI/ML Lead, your primary responsibility will be to develop innovative AI/ML solutions that cater to the specific business requirements and challenges faced by our clients. This will involve successfully managing project delivery, including data pre-processing, model training and evaluation, and parameter tuning, while ensuring stakeholder and customer expectations are met. You will be responsible for project blue printing, project documentation, and creating detailed project plans. It will also be crucial for you to stay updated on the latest advancements in AI/ML, particularly in the areas of NLP/NLU applications across various industries such as CPG and Finance. In this role, you will need to conceptualize, design, build, and implement solution algorithms within specified timelines. You will collaborate with clients to gather and analyze requirements, as well as develop effective analytics and text mining strategies. Working closely with digital development teams, you will integrate and optimize algorithms to create production-ready applications. Additionally, conducting applied research on diverse text analytics and machine learning projects, filing patents, and publishing papers will be part of your responsibilities. Preferred qualifications and skills for this role include expert knowledge in NLP, NLU, and various machine learning and deep learning methods. Proficiency in tools such as OpenNLP, OpenCalais, StanfordNLP, GATE, UIMA, Lucene, and NoSQL is essential. Experience in UI development for text mining insights visualization using platforms like Adobe Flex Builder, HTML5, and CSS3 is advantageous. Furthermore, familiarity with operating systems like Linux and Windows, GPU experience, and proficiency in distributed computing tools like Spark and Scala are desired. Knowledge of deep learning frameworks such as TensorFlow, Keras, Torch, and Theano will be beneficial in executing your responsibilities effectively.,