861 Nlp Jobs - Page 15

Job Description: TechGlobal is a global leader in strategy, technology consulting, and digital services, operating in over 100 countries worldwide. With a strong focus on helping businesses transition into a digital-first approach, TechGlobal boasts a workforce of over 600,000 employees, with a significant presence in India, where they have established Development Centres in more than 10 locations across Tier 1 and Tier 2 cities. Known for their employee-centric policies and commitment to providing a flexible work environment, TechGlobal offers a range of hybrid work options to its employees. As an AI/ML Expert specializing in Computer Vision at TechGlobal, your primary role will involve designing, developing, and deploying AI-powered visual systems capable of interpreting images and videos for various applications, including object detection, facial recognition, image segmentation, anomaly detection, and more. Key Responsibilities: - Develop applications and systems that leverage AI tools and Cloud AI services, ensuring the quality of cloud or on-premises application pipelines for production-ready solutions. - Innovate new algorithms, enhance existing models, and explore novel applications of AI to address complex client challenges. - Engage in emerging research areas focusing on Agentic AI autonomous systems that are goal-driven and intelligent, capable of reasoning, planning, and adapting using AI technologies. - Utilize GenAI models as part of the solution, working with deep learning, neural networks, chatbots, and image processing. - Create innovative solutions for industry-specific challenges. - Collaborate with Responsible AI, Delivery leads, and academia on real-world applications such as digital assistants, healthcare agents, and enterprise automation. - Lead research initiatives and present findings at top-tier conferences. - Mentor and develop the next generation of AI talent within the organization. Skills Required: - Proficiency in Computer Vision is essential. - Experience in Machine Learning, NLP, Gen AI, or LLM is preferred. Qualifications & Experience: - Ph.D. in Computer Science, Electrical Engineering, Electronics, Electronics and Communication, Data Science/AI, Mathematics, or Statistics from premier institutes like IITs, IISc, IIITs, and ISIs. - Minimum of 12 years of relevant experience in the field.,

You should have a degree in Computer Science, Artificial Intelligence, Machine Learning, or a related field. You must possess solid experience in developing and implementing generative AI models, with a deep understanding of techniques like GPT, VAE, and GANs. Proficiency in Python and experience with machine learning libraries like TensorFlow, PyTorch, or Keras is required. Strong knowledge of data structures, algorithms, and software engineering principles is essential. Familiarity with cloud-based platforms such as AWS, GCP, or Azure is expected. Experience with natural language processing (NLP) techniques and tools like SpaCy, NLTK, or Hugging Face is necessary. Knowledge of data visualization tools and libraries such as Matplotlib, Seaborn, or Plotly is preferred. Understanding of software development methodologies like Agile or Scrum is important. Excellent problem-solving skills are a must, with the ability to think critically and creatively to develop innovative AI solutions. Strong communication skills are required to effectively convey complex technical concepts to a diverse audience. A proactive mindset is essential, with the ability to work independently and collaboratively in a fast-paced, dynamic environment.,

You will be joining the engineering team at STAND 8 as a Senior AI Engineer / Data Engineer where you will play a key role in developing cutting-edge AI-powered business solutions. Your primary focus will be designing and optimizing AI systems that utilize advanced large language models, real-time AI interactions, and state-of-the-art retrieval architectures. Your contributions will directly impact products that are revolutionizing various business operations, especially in areas such as recruitment, data extraction, and decision-making processes. As a Senior AI Engineer / Data Engineer at STAND 8, your responsibilities will include designing, building, and enhancing AI-powered systems that incorporate multi-modal architectures encompassing text, voice, and visual elements. You will also be tasked with integrating and deploying large language model (LLM) APIs from providers like OpenAI, Anthropic, and AWS Bedrock, as well as constructing and managing Retrieval-Augmented Generation (RAG) systems with hybrid search capabilities, re-ranking functionalities, and knowledge graphs. Additionally, you will develop real-time AI features using streaming analytics and voice interaction tools, build APIs and pipelines to support AI workflows, process unstructured documents with layout and semantic understanding, implement predictive models, and deploy scalable solutions using various AWS services. Your role will also involve utilizing Docker for containerization, managing CI/CD workflows, version control through Git, debugging, monitoring, and optimizing performance for large-scale data pipelines, and collaborating with cross-functional teams consisting of product, data, and engineering professionals. To qualify for this role, you should possess at least 5 years of experience in AI/ML or data engineering with Python in production environments. Hands-on experience with LLM APIs and frameworks such as OpenAI, Anthropic, Bedrock, or LangChain is essential, along with expertise in vector databases like PGVector, Weaviate, FAISS, or Pinecone, a strong grasp of NLP, document extraction, and text processing, proficiency in AWS cloud services, experience with FastAPI or similar frameworks, familiarity with embedding models, prompt engineering, and RAG systems, knowledge of asynchronous programming, Docker, Git workflows, CI/CD pipelines, and testing best practices. Preferred qualifications include a background in HRTech or ATS integrations, knowledge of knowledge graphs for semantic relationships, experience with real-time AI systems and voice AI tools, advanced Python development skills, large-scale data processing experience, event-driven architecture knowledge using AWS services, and hands-on experience with fine-tuning, evaluating, and deploying foundation models.,

You will be joining a company that specializes in Identity and Access Management (IAM) and Customer Identity and Access Management (CIAM), offering advanced solutions to enhance security for your workforce, customers, and partners. The company also provides cutting-edge security solutions for various popular CMS and project management platforms such as Atlassian, WordPress, Joomla, Drupal, Shopify, BigCommerce, and Magento. The solutions offered are precise, effective, and focused on improving overall security measures. As an AI/ML Engineer with our team, you will play a crucial role in developing innovative AI-powered products and solutions. The ideal candidate for this position should possess a minimum of 10 years of hands-on experience in creating and implementing advanced AI and ML models and related software systems. This is a full-time employee position based in Baner, Pune. Your responsibilities will include developing machine learning and deep learning models and algorithms to address complex business challenges, enhance processes, and improve product functionality. You will work on deploying personalized large language models (LLMs), developing systems for document parsing, named entity recognition (NER), retrieval-augmented generation (RAG), and chatbots, as well as building robust data and ML pipelines for production scalability and performance. Additionally, you will optimize machine learning models for better performance, scalability, and accuracy using techniques like hyperparameter tuning and model optimization. It is crucial to write high-quality, production-ready code using frameworks such as PyTorch or TensorFlow and stay updated on the latest advancements in AI/ML technologies and tools. To qualify for this role, you should hold a Bachelor's or Master's Degree in Computer Science, Data Science, Computational Linguistics, Natural Processing (NLP), or related fields. You must have extensive experience in developing and deploying machine learning models and algorithms, with proficiency in AI/ML frameworks such as TensorFlow, PyTorch, and scikit-learn. Strong programming skills in Python, Java, or C++ are necessary, along with familiarity with web frameworks like FastAPI, Flask, Django, and agentic AI frameworks such as LangChain, LangGraph, AutoGen, or Crew AI. Knowledge of Data Science and MLOps, including ML/DL, Generative AI, containerization (Docker), and orchestration (Kubernetes) for deployment is essential. Experience with cloud platforms like AWS, Azure, and GCP, as well as AI/ML deployment tools, is highly beneficial. In this role, you will have the opportunity to work with a team of talented individuals in a stable, collaborative, and supportive work environment. You will be constantly exposed to new technologies and have the chance to expand your skills and knowledge in the field of AI/ML. Your communication and collaboration skills will be put to the test as you collaborate with stakeholders to understand business requirements, define project objectives, and deliver AI/ML solutions that meet customer needs and drive business value.,

The Vivriti Group is a leading player in the mid-market lending sector, providing tailored debt solutions to mid-sized enterprises. The group comprises two primary businesses: Vivriti Capital Limited: This is a systematically important Non-Banking Financial Company (NBFC ND-SI) that is regulated by the Reserve Bank of India (RBI). Vivriti Capital has successfully disbursed over USD 3 billion to more than 300 enterprise borrowers and boasts a CRISIL rating of A+. Vivriti Asset Management: This segment operates as a fixed-income fund manager, overseeing multiple Alternative Investment Funds (AIFs). With commitments exceeding USD 550 million from over 900 institutional and private contributors, Vivriti AMC has invested upwards of USD 600 million across 90 entities. In the role of Manager - AI Product, based in Chennai or Bangalore, you will be responsible for the complete lifecycle management of AI/ML products geared towards wholesale lending. This includes overseeing ideation, strategy formulation, development, launch, and ongoing iteration. Your key collaborators will include data scientists, engineers, designers, credit, risk personnel, and other business stakeholders to ensure that our AI initiatives align with user requirements and business objectives. Your primary responsibilities will include defining and executing the AI product roadmap in partnership with leadership and cross-functional teams, converting business challenges into precise AI/ML product requirements, collaborating with data experts and engineers to establish success metrics and model evaluation frameworks, prioritizing product enhancements based on user feedback, data insights, and business impact, ensuring model performance, explainability, fairness, and compliance with ethical guidelines, driving experimentation and iteration for continuous enhancement, acting as a bridge between engineering, data science, design, and stakeholders to secure timely and high-quality delivery, and keeping abreast of emerging AI trends, technologies, and industry best practices. You will also be tasked with championing a user-centric design approach in collaboration with UX/UI designers to craft intuitive, efficient, and engaging user experiences for complex financial workflows. Additionally, you will define key performance indicators (KPIs) for product success and provide regular performance updates to stakeholders. As for requirements, the ideal candidate should possess up to 3 years of product management experience, particularly with AI/ML-based products, a fundamental grasp of machine learning concepts, model lifecycle, and data infrastructure, a track record of translating intricate technical requirements into scalable product solutions, familiarity with MLOps, model evaluation metrics, and deployment pipelines, exceptional communication and stakeholder management abilities, and experience with agile product development and related tools such as Jira, Confluence, Figma, and GitHub. Desired but not mandatory qualifications include hands-on experience with data analysis tools like SQL, Python, Jupyter, exposure to LLMs, generative AI, or AI applications in NLP, computer vision, or recommendation systems, a background in computer science, engineering, data science, or related fields, and prior exposure to startup or high-growth environments.,

At EY, you'll have the chance to build a career as unique as you are, with the global scale, support, inclusive culture, and technology to become the best version of yourself. Your unique voice and perspective are valued to help EY become even better. Join us and contribute to building an exceptional experience for yourself and creating a better working world for all. As a part of our EY - Technology Risk team, you will contribute technically to IT Risk and Assurance client engagements as well as internal projects. Your role will involve actively establishing, maintaining, and strengthening internal and external relationships. You will also be responsible for identifying potential business opportunities for Ernst & Young within existing engagements and escalating them as appropriate. Anticipating and identifying risks within engagements and sharing any issues with senior team members will also be part of your responsibilities. The opportunity entails helping clients navigate the complex world of modern data science and analytics. You will provide advice to clients on designing, implementing, stabilizing, and optimizing internal controls using cutting-edge and scalable AI & Big Data technologies. Your key responsibilities include: - Building and leveraging cutting-edge Gen AI & Big Data platforms to deliver insights for comprehensive Risk & Controls monitoring mechanisms. - Creating executive reporting, proposals, and marketing material with the highest quality deliverables. - Collaborating within the team to solve technical challenges in the design and development of the next-generation AI & Data-led Risk technology platform. To qualify for this role, you must have: - 4+ years of working experience in Large Scale AI/ML models and data science. - Deep understanding of statistics, AI/ML algorithms, and predictive modeling. - Proficiency in AI/ML programming languages like Python, R, and SQL. - Expertise in machine learning algorithms and data mining techniques including deep learning algorithms. - Strong programming skills in Python with machine learning libraries such as Scikit-learn, Pandas, NumPy, etc. - Knowledge of tools such as Docker, Kubernetes, Git, and deep learning frameworks like TensorFlow, PyTorch, or Keras. Ideally, you'll also have a Bachelor's Degree or above in mathematics, information systems, statistics, computer science, Data Science, or related disciplines. Relevant certifications are considered a plus. Being self-driven, a creative problem solver, and enjoying the fast-paced environment of software development are qualities that are valued. At EY, you will have opportunities to work with leading businesses globally and develop your skills and career. You will work on inspiring and meaningful projects, receive support, coaching, and feedback from engaging colleagues, and have the freedom and flexibility to handle your role in a way that suits you. EY is committed to building a better working world by creating long-term value for clients, people, and society through trust, data, and technology.,

You should have hands-on experience in Machine Learning Model and deep learning development using python. You will be responsible for Data Quality Analysis and Data preparation, Exploratory Data Analysis, and visualization of data. Additionally, you will define validation strategies, preprocessing or feature engineering on a given dataset, and data augmentation pipelines. Text processing using Machine Learning and NLP for processing documents will also be part of your role. Your tasks will include training models, tuning their hyperparameters, analyzing model errors, and designing strategies to overcome them. You should have experience with python packages such as Numpy, Scipy, Scikit-learn, Theano, TensorFlow, Keras, PyTorch, Pandas, and Matplotlib. Experience in working on Azure open AI studio or openai using python or LLAMA or Langchain is required. Moreover, experience in working on Azure function and python flask/api development/streamlit, prompt engineering, conversational AI, and LLM models like word2Vec, Glove, spacy, BERT embedding models is preferred. You are expected to possess distinctive problem-solving, strategic, and analytical capabilities, as well as excellent time-management and organization skills. Strong knowledge in Programming languages like Python, reactjs, SQL, big data is essential. Excellent verbal and written communication skills are necessary for effective interaction between business and technical architects and developers. You should have 2 - 4 years of relevant experience and a Bachelors Degree in Computer Science, Computer Engineering, masters in computer application, MIS, or a related field. End-to-End development experience in deployment of the Machine Learning model using python and Azure ML studio is required. Exposure in developing client-based or web-based software solutions and Certification of Machine Learning and Artificial Intelligence will be beneficial. Good to have experience in power platform or power pages or Azure OpenAI studio. Grant Thornton INDUS comprises GT U.S. Shared Services Center India Pvt Ltd and Grant Thornton U.S. Knowledge and Capability Center India Pvt Ltd. Grant Thornton INDUS is the shared services center supporting the operations of Grant Thornton LLP, the U.S. member firm of Grant Thornton International Ltd. Established in 2012, Grant Thornton INDUS employs professionals across a wide range of disciplines including Tax, Audit, Advisory, and other operational functions. The culture at Grant Thornton INDUS promotes empowered people, bold leadership, and distinctive client service. Working at Grant Thornton INDUS offers an opportunity to be part of something significant and serves communities in India through inspirational and generous services to give back to the communities they work in. Grant Thornton INDUS has its offices in two locations in India Bengaluru and Kolkata.,

You will be responsible for designing, building, and deploying scalable NLP/ML models for real-world applications. Your role will involve fine-tuning and optimizing Large Language Models (LLMs) using techniques like LoRA, PEFT, or QLoRA. You will work with transformer-based architectures such as BERT, GPT, LLaMA, and T5, and develop GenAI applications using frameworks like LangChain, Hugging Face, OpenAI API, or RAG (Retrieval-Augmented Generation). Writing clean, efficient, and testable Python code will be a crucial part of your tasks. Collaboration with data scientists, software engineers, and stakeholders to define AI-driven solutions will also be an essential aspect of your work. Additionally, you will evaluate model performance and iterate rapidly based on user feedback and metrics. The ideal candidate should have a minimum of 3 years of experience in Python programming with a strong understanding of ML pipelines. A solid background and experience in NLP, including text preprocessing, embeddings, NER, and sentiment analysis, are required. Proficiency in ML libraries such as scikit-learn, PyTorch, TensorFlow, Hugging Face Transformers, and spaCy is essential. Experience with GenAI concepts, including prompt engineering, LLM fine-tuning, and vector databases like FAISS and ChromaDB, will be beneficial. Strong problem-solving and communication skills are highly valued, along with the ability to learn new tools and work both independently and collaboratively in a fast-paced environment. Attention to detail and accuracy is crucial for this role. Preferred skills include theoretical knowledge or experience in Data Engineering, Data Science, AI, ML, RPA, or related domains. Certification in Business Analysis or Project Management from a recognized institution is a plus. Experience in working with agile methodologies such as Scrum or Kanban is desirable. Additional experience in deep learning and transformer architectures and models, prompt engineering, training LLMs, and GenAI pipeline preparation will be advantageous. Practical experience in integrating LLM models like ChatGPT, Gemini, Claude, etc., with context-aware capabilities using RAG or fine-tuning models is a plus. Knowledge of model evaluation and alignment, as well as metrics to calculate model accuracy, is beneficial. Data curation from sources for RAG preprocessing and development of LLM pipelines is an added advantage. Proficiency in scalable deployment and logging tooling, including skills like Flask, Django, FastAPI, APIs, Docker containerization, and Kubeflow, is preferred. Familiarity with Lang Chain, LlamaIndex, vLLM, HuggingFace Transformers, LoRA, and a basic understanding of cost-to-performance tradeoffs will be beneficial for this role.,

Qualcomm India Private Limited is seeking an experienced individual to join Qualcomms Engineering IT EDAAP team as an IT Programmer Analyst. The ideal candidate should have 7-10 years of experience in developing dashboards using reporting tools such as Tableau (Tableau API), Power BI, and OBIEE. As an independent contributor, you will be responsible for developing and sustaining enterprise level software applications. Your main tasks will include developing visualizations and dashboards with Tableau, strong knowledge of SQL, and test, debug, and performance tuning of dashboards and reports. You should have a fundamental understanding of object-oriented design, data structures, algorithms, and problem-solving. Additionally, you will be required to work in an agile development environment, translate ad hoc report requests into common dashboards, and have knowledge of different types of enterprise systems and their interactions within an enterprise. Experience working with Oracle, MySQL, and Postgres is essential. The willingness to multitask and work in a fast-paced environment, as well as taking ownership and driving tasks to completion, are key attributes for this role. Desirable skills include Python programming experience, developing dashboards with Power BI, exposure to Qlikview, OBIEE, and ThoughtSpot, experience in the semiconductor industry, and working with NoSQL databases such as MongoDB, as well as relational databases like MySQL and Oracle. To be considered for this position, you must have a Bachelor's degree in a technical discipline or equivalent experience. Qualifications required include 5 or more years of experience in applying AI and machine learning techniques to technology solutions, with a strong background in machine learning, deep learning, and natural language processing. Expertise in ML, deep learning, PyTorch, Python, NLP, and Transformer architecture is essential, as well as experience in deploying LLMs and embedding models in production use cases. Preferred qualifications include a Bachelor's or Master's degree in computer science, Artificial Intelligence, Data Science, or a related field, experience in implementing end-to-end ML/NLP systems, working with transformer-based models, and experience in a distributed team and cloud environments. Minimum qualifications for this role include 4+ years of work experience in programming, scripting, and/or automation, or IT-relevant work experience with a Bachelor's degree, or 6+ years of work experience without a Bachelor's degree. Additionally, 2+ years of experience with Database Design structures, such as MongoDB and MySQL, is required. Qualcomm is an equal opportunity employer committed to providing accessible processes for individuals with disabilities. If you require accommodations during the application/hiring process, please contact Qualcomm for assistance. Employees are expected to adhere to all applicable policies and procedures, including security and confidentiality requirements. Please note that Qualcomm does not accept unsolicited resumes or applications from agencies, and individuals seeking a job at Qualcomm should apply directly through the Qualcomm Careers Site. For more information about this role, please contact Qualcomm Careers.,

As the Head of Data Science at Matrimony.com Ltd based in Chennai, you will play a pivotal role in leading our AI/ML strategy to revolutionize our matchmaking platforms. Your primary responsibility will be to drive innovation by leveraging data science across personalized recommendations, fraud prevention, and customer engagement, ultimately reshaping how individuals discover love. This role offers you the opportunity to make a meaningful impact by utilizing cutting-edge technologies and thriving in a dynamic and fast-paced environment. Your key responsibilities will include defining and executing the AI/ML roadmap to enhance user experiences through personalized matchmaking, fraud detection, and real-time decision-making models. You will lead analytics initiatives aimed at driving revenue growth, optimizing conversion rates, and improving engagement by translating data into actionable insights. Additionally, you will be tasked with building and leading a high-performing data science team, fostering a culture of continuous learning and collaboration to ensure the timely execution of impactful AI/ML projects. Collaboration is essential in this role, as you will partner closely with Product, Engineering, Marketing, and Leadership teams to align AI/ML innovations with business objectives, thereby enhancing both product development and user satisfaction. Implementing best practices in data science to drive operational efficiency and scale AI solutions that directly impact business KPIs will be crucial. Furthermore, establishing and maintaining strategic partnerships with academic institutions and tech companies will be key in staying at the forefront of AI/ML innovations. To excel in this role, you should possess at least 15 years of hands-on experience in data science, analytics, and machine learning, with a minimum of 5 years in a leadership position. A proven track record in consumer tech, e-commerce, fintech, or similar industries, where customer data is utilized for product development and revenue growth, is highly desirable. Ideally, you should hold a master's degree from a Tier I institute or a Ph.D. in a related quantitative field. Proficiency in machine learning, deep learning, NLP, and large-scale data processing, along with expertise in Python, TensorFlow, PyTorch, SQL, and cloud technologies, is essential. Your success in this role will be bolstered by your exceptional leadership, communication, and collaboration skills, enabling you to align AI initiatives with business goals and deliver measurable outcomes. Join Matrimony.com Ltd, India's leading Wed-Tech Company, and be part of a team that is dedicated to creating meaningful connections and driving innovation in the matchmaking industry.,

As a Machine Learning Engineer, you will be responsible for developing new features and models for our core product through applied research. Your main focus will be to understand, apply, and extend state-of-the-art NLP research to enhance customer experience. Working closely with the engineering, product, and customer teams, you will scientifically frame business problems and develop AI models to address them effectively. Your role will involve designing, implementing, testing, deploying, and maintaining innovative data and machine learning solutions to drive business growth. You will be expected to think creatively to identify new opportunities and contribute to high-quality publications or patents. To be successful in this position, you should have at least 1 year of professional experience and hold a Bachelor's degree in Computer Science or a related field from a reputable institution. You should possess extensive knowledge and practical experience in areas such as machine learning, deep learning, NLP, recommendation systems, and information retrieval. Prior experience in applying ML to solve complex business problems from scratch is essential. Proficiency in Python and a deep learning framework like PyTorch or TensorFlow is required. Additionally, you should have a good understanding of the latest research trends in the NLP community. Strong verbal and written communication skills, along with excellent presentation abilities, are also necessary for this role. If you are passionate about leveraging machine learning to drive innovation and have a keen interest in NLP research, this role offers an exciting opportunity to contribute to cutting-edge projects and make a meaningful impact.,

As a People Operations Specialist at Okta, you will play a crucial role in driving continuous improvement and process optimization within our Shared Services organization. Your expertise in process excellence, technical skills in ServiceNow, self-service portal design, and AI chatbot integration will be instrumental in enhancing service delivery, driving automation, and enabling data-driven decision-making across Shared Services. Your responsibilities will include designing and developing self-service portals on ServiceNow, integrating AI-powered chatbots for intelligent case routing, knowledge retrieval, and user support. You will also analyze existing workflows to streamline operations, reduce cycle times, and improve service quality. Establishing standardized best practices, process governance, and cross-functional collaboration will be key aspects of your role. Collaborating with business stakeholders, driving adoption of new tools and processes, and acting as a liaison between Shared Services, IT, and external vendors for enhancements will be crucial for success in this role. Ensuring compliance with governance, maintaining process documentation, and championing knowledge management will also be part of your responsibilities. To excel in this position, you should hold a Bachelor's degree in Business, Engineering, Information Systems, or a related field (Masters preferred) and have at least 8 years of experience in Shared Services, Process Improvement, or Business Operations with leadership experience. Technical skills required include hands-on experience with ServiceNow, designing AI-powered self-service portals, integrating chatbots, and proficiency in data visualization tools. Key competencies such as strategic thinking, process optimization, change leadership, data-driven decision-making, and cross-functional collaboration will be essential for success in this role. Strong analytical, problem-solving, communication, and stakeholder management skills are also crucial. As a Full-Time Okta employee, you can look forward to amazing benefits, making a social impact, developing talent, and fostering connection and community at Okta. Okta provides a dynamic work environment, empowering employees to work productively and creatively. Join us at Okta today and find your place in a setting that best suits your needs.,

As a Python Engineer with 2-4 years of experience, you will be responsible for building, deploying, and scaling Python applications along with AI/ML solutions. Your strong programming skills will be put to use in developing intelligent solutions and collaborating closely with clients and software engineers to implement machine learning models. You should be an expert in Python, with advanced knowledge of Flask/FastAPI and server programming to implement complex business logic. Understanding fundamental design principles behind scalable applications is crucial. Independently designing, developing, and deploying machine learning models and AI algorithms tailored to business requirements will be a key aspect of your role. Your responsibilities will include solving complex technical challenges through innovative AI/ML solutions, building and maintaining integrations (e.g., APIs) for machine learning models, conducting data preprocessing and feature engineering, and optimizing datasets for model training and inference. Monitoring and continuously improving model performance in production environments, focusing on scalability and efficiency, will also be part of your tasks. Managing model deployment, monitoring, and scaling using tools like Docker, Kubernetes, and cloud services will be essential. You will need to develop integration strategies for smooth communication between APIs and troubleshoot integration issues. Creating and maintaining comprehensive documentation for AI/ML projects will be necessary, along with staying updated on emerging trends and technologies in AI/ML. Key Skills Required: - Proficiency in Python, R, or similar languages commonly used in ML/AI development - Hands-on experience with TensorFlow, PyTorch, scikit-learn, or similar ML libraries - Strong knowledge of data preprocessing, data cleaning, and feature engineering - Familiarity with model deployment using Docker, Kubernetes, or cloud platforms - Understanding of statistical methods, probability, and data-driven decision-making processes - Proficient in querying databases for ML projects - Experience with ML lifecycle management tools like MLflow, Kubeflow - Familiarity with NLP frameworks for language-based AI solutions - Exposure to computer vision techniques - Experience with managed ML services like AWS SageMaker, Azure Machine Learning, or Google Cloud AI Platform - Familiarity with agile workflows and DevOps or CI/CD pipelines Good to Have Skills: - Exposure to big data processing tools like Spark, Hadoop - Experience with agile development methodologies The job location for this role is in Ahmedabad/Pune, and the required educational qualifications include a UG degree in BE/BTech or PG degree in ME/M-Tech/MCA/MSC-IT/Data Science, AI, Machine Learning, or a related field.,

As a highly skilled Senior Machine Learning Engineer, you will leverage your expertise in Deep Learning, Large Language Models (LLMs), and MLOps/LLMOps to design, optimize, and deploy cutting-edge AI solutions. Your responsibilities will include developing and scaling deep learning models, fine-tuning LLMs (e.g., GPT, Llama), and implementing robust deployment pipelines for production environments. You will be responsible for designing, training, fine-tuning, and optimizing deep learning models (CNNs, RNNs, Transformers) for various applications such as NLP, computer vision, or multimodal tasks. Additionally, you will fine-tune and adapt LLMs for domain-specific tasks like text generation, summarization, and semantic similarity. Experimenting with RLHF (Reinforcement Learning from Human Feedback) and alignment techniques will also be part of your role. In the realm of Deployment & Scalability (MLOps/LLMOps), you will build and maintain end-to-end ML pipelines for training, evaluation, and deployment. Deploying LLMs and deep learning models in production environments using frameworks like FastAPI, vLLM, or TensorRT is crucial. You will optimize models for low-latency, high-throughput inference and implement CI/CD workflows for ML systems using tools like MLflow and Kubeflow. Monitoring & Optimization will involve setting up logging, monitoring, and alerting for model performance metrics such as drift, latency, and accuracy. Collaborating with DevOps teams to ensure scalability, security, and cost-efficiency of deployed models will also be part of your responsibilities. The ideal candidate will possess 5-7 years of hands-on experience in Deep Learning, NLP, and LLMs. Strong proficiency in Python, PyTorch, TensorFlow, Hugging Face Transformers, and LLM frameworks is essential. Experience with model deployment tools like Docker, Kubernetes, and FastAPI, along with knowledge of MLOps/LLMOps best practices and familiarity with cloud platforms (AWS, GCP, Azure) are required qualifications. Preferred qualifications include contributions to open-source LLM projects, showcasing your commitment to advancing the field of machine learning.,

As the Lead Data Scientist at Mastercard, you will have the opportunity to lead, mentor, and grow the data science team focused on developing production-grade services and capabilities. Your role will involve planning and directing data science and machine learning projects, designing and implementing machine learning models for various financial applications, and measuring, validating, implementing, monitoring, and improving the performance of both internal and external facing machine learning models. You will be expected to propose creative solutions to new challenges in the company, the financial industry, and data science, while effectively presenting technical problems and findings to business leaders and clients. Your responsibilities will also include leveraging best practices in machine learning and data engineering to develop scalable solutions, identifying areas where resources fall short of needs, and providing thoughtful and sustainable solutions to benefit the team. You should be a strong, confident, and excellent writer and speaker, capable of communicating your vision and roadmap effectively to a wide variety of stakeholders. To excel in this role, you should have at least 8 years of experience in data science and machine learning model development and deployments. Exposure to financial transactional structured and unstructured data, transaction classification, risk evaluation, and credit risk modeling is a plus. A strong understanding of NLP, Statistical Modeling, Visualization, and advanced Data Science techniques/methods is essential. Proficiency in SQL/Database operations is preferred, along with experience in technologies such as Kubernetes, Containers, Docker, REST APIs, Event Streams, and relevant tools like Tensorflow, Python, Sklearn, and Pandas. Moreover, you should have a strong desire to collaborate and come up with creative solutions, with additional experience in Finance and FinTech being beneficial. A Bachelors or Masters Degree in Computer Science, Information Technology, Engineering, Mathematics, or Statistics is preferred for this role. As part of Mastercard's corporate security responsibility, you will be expected to abide by the company's security policies and practices, ensure the confidentiality and integrity of accessed information, report any suspected information security violations or breaches, and complete all mandatory security trainings in accordance with Mastercard's guidelines. If you are passionate about leveraging data to provide high-quality customer solutions, possess strong technical leadership skills, and have an entrepreneurial mindset, then this Lead Data Scientist position at Mastercard could be the perfect opportunity for you to make a significant impact across various sectors of the economy.,

Hello Everyone, Optum is hiring AI ML Data Scientists at Hyderabad Description - External Optum is a global organization that delivers care, aided by technology to help millions of people live healthier lives. The work you do with our team will directly improve health outcomes by connecting people with the care, pharmacy benefits, data and resources they need to feel their best. Here, you will find a culture guided by diversity and inclusion, talented peers, comprehensive benefits and career development opportunities. Come make an impact on the communities we serve as you help us advance health equity on a global scale. Join us to start Caring. Connecting. Growing together. Primary Skills: Python, NLP, LLMs, APIs Experience: 7 - 11 yrs Notice Period: Immediate to 45 days Location: Hyderabad Primary Responsibilities: Lead the technology as a senior member of the software engineer team, as part of an Agile scrum team assigned to work on the project Designs, codes, tests, debug, and documents software, and enhance existing components to ensure that software meets business needs Contribute to the design and architecture to enable secure, scalable, and maintainable software and should be able to clearly articulate the implications of design/architectural decisions, issues and plans to technology leadership Provide hands-on leadership, coaching, mentoring, and software engineering best practices to junior software engineers Develop reusable patterns and encourage innovation that will enable team velocity Collaborate on the design with other team members and product owners, both inside and outside the scrum team Estimate engineering work effort for engineering team and effectively identify and prioritize the high impact tasks Conduct design and code reviews to ensure code developed meets coding best practices guidelines, unit testing, security, and scalability and maintainability guidelines Drive a quality mindset within the team Required Qualifications: Graduate degree or equivalent experience 5+ years of experience in Python using common data science libraries such as scikit-learn and Databricks 3+ years of experience applying NLP (transformers, GPT, etc.) in a production setting using large amounts of data 2+ years of experience applying LLMs (RAG, vector DB, embeddings) to solve real world problems Experience applying data science techniques in a commercial enterprise, including supervised, unsupervised learning, NLP, time-series forecasting and other statistical analyses Experience building APIs for the models Proven solid written & verbal communication skills; including the ability to present detailed analyses to a broad audience Proven organized self-starter, with drive and commitment; able to work with little supervision Proven solid analytical, quantitative, problem-solving, and critical thinking skills Interested can share their updated CV at arshad_mohammad@optum.com Thanks and Regards, Arshad Ayub - Talent Scout Optum arshad_mohammad@optum.com

About the job : We are looking for a highly skilled Senior AI/ML Engineer with 5+ years of experience to join our team. The ideal candidate should have extensive expertise in machine learning, deep learning, and AI model development, along with a strong background in Python, NLP, computer vision, and cloud-based AI solutions.Key Responsibilities : - Design, develop, and deploy AI/ML models for real-world applications. - Work with NLP, deep learning, and traditional ML algorithms to solve complex business problems. - Develop end-to-end ML pipelines, including data preprocessing, feature engineering, model training, and deployment.- Optimize model performance using hyperparameter tuning and model evaluation techniques.- Implement AI-driven solutions using TensorFlow, PyTorch, Scikit-learn, OpenAI APIs, Hugging Face, and similar frameworks.- Work with structured and unstructured data, performing data wrangling, transformation, and feature extraction.- Deploy models in cloud environments (AWS, Azure, or GCP) using SageMaker, Vertex AI, or Azure ML.- Collaborate with cross-functional teams to integrate AI models into production systems.- Ensure scalability, performance, and efficiency of AI/ML solutions.- Stay updated with emerging AI trends and technologies to drive innovation.Required Skills : - Strong experience in machine learning, deep learning, NLP, and AI model development.- Proficiency in Python, TensorFlow, PyTorch, Scikit-learn, and OpenAI GPT models.- Expertise in NLP techniques (Word2Vec, BERT, transformers, LLMs, text classification).- Hands-on experience with computer vision (CNNs, OpenCV, YOLO, custom object detection models).- Solid understanding of ML model deployment and MLOps (Docker, Kubernetes, CI/CD for ML models).- Experience in working with cloud platforms (AWS, Azure, GCP) for AI/ML model deployment.- Strong knowledge of SQL, NoSQL databases, and big data processing tools (PySpark, Databricks, Hadoop, Kafka, etc.-Familiarity with API development using Django, Flask, or FastAPI for AI solutions.- Strong problem-solving, analytical, and communication skills. Preferred Skills : - Experience with AI-powered chatbots and OpenAI API integration.- Exposure to LLMs (GPT, LLaMA, Falcon, etc.) for real-world applications.- Hands-on experience in generative AI models.

Job Description : Responsibilities : - Design and Development : Architect, design, and develop user-friendly and scalable AI-powered applications using React.js for the frontend and Node.js for the backend.- Generative AI Implementation : Implement, integrate, and fine-tune Generative AI models (e.g., text generation, image synthesis) for specific application requirements.- API Development and Integration : Develop and consume RESTful and GraphQL APIs to facilitate communication between frontend applications and AI/ML models and backend services.- LLM and NLP Integration : Leverage Large Language Models (LLMs) and Natural Language Processing (NLP) techniques to enhance application features and user interactions.- Machine Learning Frameworks : Utilize and integrate various machine learning frameworks (e.g., TensorFlow, PyTorch, scikit-learn) as needed for specific AI functionalities.- Performance Optimization : Optimize AI models and application code for performance, scalability, reliability, and cost-effectiveness.- Collaboration : Collaborate effectively with data scientists, machine learning engineers, backend developers, product managers, and designers throughout the development lifecycle.- Code Quality and Best Practices : Write clean, well-documented, and testable code, adhering to best practices and contributing to CI/CD pipelines for continuous integration and deployment.- Research and Innovation : Stay abreast of the latest advancements in Generative AI, Large Language Models, NLP, web development technologies, and industry trends. Proactively explore and propose new technologies and approaches to enhance our products.- Problem Solving : Troubleshoot and resolve technical issues related to AI model integration, application performance, and API interactions.- Documentation : Create and maintain comprehensive technical documentation for developed components and systems. Qualifications : - Education : Bachelor's or Master's degree in Computer Science, Software Engineering, Artificial Intelligence, or a related field.- Experience : [Specify the desired years of experience - e.g., 2-5 years] of professional experience in full-stack development with a focus on frontend (React.js) and backend (Node.js) technologies.- Frontend Expertise : Proven experience in developing responsive and dynamic user interfaces using React.js, including state management libraries (e.g., Redux, Zustand, Context API), component-based architecture, and modern JavaScript (ES6+).- Backend Expertise : Solid experience in developing robust and scalable backend applications using Node.js and frameworks like Express.js or NestJS.- API Development : Strong understanding and practical experience in designing and implementing RESTful and/or GraphQL APIs.- AI/ML Fundamentals : Familiarity with fundamental concepts of Artificial Intelligence and Machine Learning, including different types of models and their applications.- Generative AI Exposure : Experience with implementing or fine-tuning Generative AI models (e.g., using libraries or cloud-based services).- LLM and NLP Knowledge : Understanding of Large Language Models (LLMs) and Natural Language Processing (NLP) concepts and their practical applications.- Machine Learning Frameworks (Desirable) : Familiarity with one or more machine learning frameworks such as TensorFlow, PyTorch, or scikit-learn.- Database Knowledge : Experience working with various database systems (e.g., PostgreSQL, MySQL, MongoDB).- DevOps Practices : Understanding of CI/CD pipelines and experience with relevant tools (e.g., Jenkins, GitLab CI/CD, GitHub Actions).- Testing : Experience with writing unit, integration, and end-to-end tests.- Problem-Solving Skills : Excellent analytical and problem-solving abilities.- Communication Skills : Strong written and verbal communication skills, with the ability to effectively communicate technical concepts to both technical and non-technical audiences.- Collaboration : Ability to work effectively in a collaborative team environment

Responsibilities : - Design and Development : Architect, design, and develop user-friendly and scalable AI-powered applications using React.js for the frontend and Node.js for the backend. - Generative AI Implementation : Implement, integrate, and fine-tune Generative AI models (e.g., text generation, image synthesis) for specific application requirements. - API Development and Integration : Develop and consume RESTful and GraphQL APIs to facilitate communication between frontend applications and AI/ML models and backend services. - LLM and NLP Integration : Leverage Large Language Models (LLMs) and Natural Language Processing (NLP) techniques to enhance application features and user interactions. - Machine Learning Frameworks : Utilize and integrate various machine learning frameworks (e.g., TensorFlow, PyTorch, scikit-learn) as needed for specific AI functionalities. - Performance Optimization : Optimize AI models and application code for performance, scalability, reliability, and cost-effectiveness. - Collaboration : Collaborate effectively with data scientists, machine learning engineers, backend developers, product managers, and designers throughout the development lifecycle. - Code Quality and Best Practices : Write clean, well-documented, and testable code, adhering to best practices and contributing to CI/CD pipelines for continuous integration and deployment. - Research and Innovation : Stay abreast of the latest advancements in Generative AI, Large Language Models, NLP, web development technologies, and industry trends. Proactively explore and propose new technologies and approaches to enhance our products. - Problem Solving : Troubleshoot and resolve technical issues related to AI model integration, application performance, and API interactions. - Documentation : Create and maintain comprehensive technical documentation for developed components and systems. Qualifications : - Education : Bachelor's or Master's degree in Computer Science, Software Engineering, Artificial Intelligence, or a related field. - Experience : [Specify the desired years of experience - e.g., 2-5 years] of professional experience in full-stack development with a focus on frontend (React.js) and backend (Node.js) technologies. - Frontend Expertise : Proven experience in developing responsive and dynamic user interfaces using React.js, including state management libraries (e.g., Redux, Zustand, Context API), component-based architecture, and modern JavaScript (ES6+). - Backend Expertise : Solid experience in developing robust and scalable backend applications using Node.js and frameworks like Express.js or NestJS. - API Development : Strong understanding and practical experience in designing and implementing RESTful and/or GraphQL APIs. - AI/ML Fundamentals : Familiarity with fundamental concepts of Artificial Intelligence and Machine Learning, including different types of models and their applications. - Generative AI Exposure : Experience with implementing or fine-tuning Generative AI models (e.g., using libraries or cloud-based services). - LLM and NLP Knowledge : Understanding of Large Language Models (LLMs) and Natural Language Processing (NLP) concepts and their practical applications. - Machine Learning Frameworks (Desirable) : Familiarity with one or more machine learning frameworks such as TensorFlow, PyTorch, or scikit-learn. - Database Knowledge : Experience working with various database systems (e.g., PostgreSQL, MySQL, MongoDB). - DevOps Practices : Understanding of CI/CD pipelines and experience with relevant tools (e.g., Jenkins, GitLab CI/CD, GitHub Actions). - Testing : Experience with writing unit, integration, and end-to-end tests. - Problem-Solving Skills : Excellent analytical and problem-solving abilities. - Communication Skills : Strong written and verbal communication skills, with the ability to effectively communicate technical concepts to both technical and non-technical audiences. - Collaboration : Ability to work effectively in a collaborative team environment

About the job : We are looking for a highly skilled Senior AI/ML Engineer with 5+ years of experience to join our team. The ideal candidate should have extensive expertise in machine learning, deep learning, and AI model development, along with a strong background in Python, NLP, computer vision, and cloud-based AI solutions. Key Responsibilities : - Design, develop, and deploy AI/ML models for real-world applications. - Work with NLP, deep learning, and traditional ML algorithms to solve complex business problems. - Develop end-to-end ML pipelines, including data preprocessing, feature engineering, model training, and deployment. - Optimize model performance using hyperparameter tuning and model evaluation techniques. - Implement AI-driven solutions using TensorFlow, PyTorch, Scikit-learn, OpenAI APIs, Hugging Face, and similar frameworks. - Work with structured and unstructured data, performing data wrangling, transformation, and feature extraction. - Deploy models in cloud environments (AWS, Azure, or GCP) using SageMaker, Vertex AI, or Azure ML. - Collaborate with cross-functional teams to integrate AI models into production systems. - Ensure scalability, performance, and efficiency of AI/ML solutions. - Stay updated with emerging AI trends and technologies to drive innovation. Required Skills : - Strong experience in machine learning, deep learning, NLP, and AI model development. - Proficiency in Python, TensorFlow, PyTorch, Scikit-learn, and OpenAI GPT models. - Expertise in NLP techniques (Word2Vec, BERT, transformers, LLMs, text classification). - Hands-on experience with computer vision (CNNs, OpenCV, YOLO, custom object detection models). - Solid understanding of ML model deployment and MLOps (Docker, Kubernetes, CI/CD for ML models). - Experience in working with cloud platforms (AWS, Azure, GCP) for AI/ML model deployment. - Strong knowledge of SQL, NoSQL databases, and big data processing tools (PySpark, Databricks, Hadoop, Kafka, etc. -Familiarity with API development using Django, Flask, or FastAPI for AI solutions. - Strong problem-solving, analytical, and communication skills. Preferred Skills : - Experience with AI-powered chatbots and OpenAI API integration. - Exposure to LLMs (GPT, LLaMA, Falcon, etc.) for real-world applications. - Hands-on experience in generative AI models.

About the job : We are looking for a highly skilled Senior AI/ML Engineer with 5+ years of experience to join our team. The ideal candidate should have extensive expertise in machine learning, deep learning, and AI model development, along with a strong background in Python, NLP, computer vision, and cloud-based AI solutions. Key Responsibilities : - Design, develop, and deploy AI/ML models for real-world applications. - Work with NLP, deep learning, and traditional ML algorithms to solve complex business problems. - Develop end-to-end ML pipelines, including data preprocessing, feature engineering, model training, and deployment. - Optimize model performance using hyperparameter tuning and model evaluation techniques. - Implement AI-driven solutions using TensorFlow, PyTorch, Scikit-learn, OpenAI APIs, Hugging Face, and similar frameworks. - Work with structured and unstructured data, performing data wrangling, transformation, and feature extraction. - Deploy models in cloud environments (AWS, Azure, or GCP) using SageMaker, Vertex AI, or Azure ML. - Collaborate with cross-functional teams to integrate AI models into production systems. - Ensure scalability, performance, and efficiency of AI/ML solutions. - Stay updated with emerging AI trends and technologies to drive innovation. Required Skills : - Strong experience in machine learning, deep learning, NLP, and AI model development. - Proficiency in Python, TensorFlow, PyTorch, Scikit-learn, and OpenAI GPT models. - Expertise in NLP techniques (Word2Vec, BERT, transformers, LLMs, text classification). - Hands-on experience with computer vision (CNNs, OpenCV, YOLO, custom object detection models). - Solid understanding of ML model deployment and MLOps (Docker, Kubernetes, CI/CD for ML models). - Experience in working with cloud platforms (AWS, Azure, GCP) for AI/ML model deployment. - Strong knowledge of SQL, NoSQL databases, and big data processing tools (PySpark, Databricks, Hadoop, Kafka, etc. - Familiarity with API development using Django, Flask, or FastAPI for AI solutions. - Strong problem-solving, analytical, and communication skills. Preferred Skills : - Experience with AI-powered chatbots and OpenAI API integration. - Exposure to LLMs (GPT, LLaMA, Falcon, etc.) for real-world applications. - Hands-on experience in generative AI models.

Urgent: SAP AI Consultant, near Pune Our client is leading Ice Cream Manufacturer of India , UAE & UK They are a professionally managed global conglomerate with traditional values of the 70-year-old family business. They directly employ over 2000 people across several regions of operations & includes the ownership & management of the boutique hotel in Mumbai, Banquets & Catering services, Indias largest ice-cream store chain , extremely delicious lower-calorie ice cream brand , the leading ice cream & food brand of the Middle East offering traditional Indian packaged foods such as paneer, frozen vegetables, rice & more a chain of modern Indian family dining restaurants in India & other sub-brands. Position Summary The SAP AI Consultant will be responsible for driving the implementation & optimization of artificial intelligence (AI) solutions within the SAP ecosystem. This includes advising clients on AI use cases, designing AI-driven business processes & integrating advanced AI technologies like machine learning, predictive analytics, & intelligent automation into SAP applications. The consultant will work closely with business & technical teams to deliver AI-powered solutions that improve business outcomes. Qualifications & Experience Bachelor’s degree in Computer Science, Engineering, Data Science, or a related field. Minimum 5+ years of relevant experience in implementing AI solutions, with a strong background in SAP technologies. Deep understanding of SAP AI/ML capabilities, including SAP AI Foundation, SAP Leonardo, & SAP Business Technology Platform (BTP). Expertise in machine learning algorithms, predictive analytics, & data science methodologies. Proven experience with integrating AI technologies such as predictive models, natural language processing (NLP), & intelligent automation within SAP environments. Familiarity with SAP S/4HANA & integration of AI with core business applications (e.g., finance, logistics, supply chain). Experience with SAP Analytics Cloud (SAC) & its AI-driven analytics capabilities. Hands-on experience with Python, R, SQL, & other AI-related programming languages & tools. Knowledge of cloud-based AI services, such as SAP Data Intelligence, Google Cloud AI, AWS AI/ML, or Microsoft Azure AI. Understanding of AI ethics, data governance, & regulatory compliance related to AI applications. Strong problem-solving skills & ability to work on complex, cross-functional AI projects. Excellent communication skills with the ability to explain complex AI concepts to non-technical stakeholders. Ability to collaborate with both business & IT teams to design & deliver AI solutions. Experience with Agile methodology for delivering AI projects is an advantage. SAP certification in AI or related SAP technologies is a plus. Key Skills SAP AI Sap Cloud Platform S/4HANA SAP AI/ML SAP BTP SAP Analytics Cloud Sap Cloud Key Responsibilities Lead the design & implementation of AI & Machine Learning solutions integrated with SAP systems (S/4HANA, SAP Analytics Cloud, SAP Leonardo, etc.). Identify AI opportunities across various business functions (finance, procurement, sales, supply chain, etc.) & provide strategic recommendations for leveraging AI to drive operational efficiency & innovation. Work with SAPs AI capabilities, including SAP AI Foundation, SAP Business Technology Platform (BTP), & SAP Leonardo to create custom AI solutions. Design AI models, implement machine learning algorithms, & build intelligent automation processes to solve complex business problems. Collaborate with SAP functional consultants & business teams to define AI use cases & ensure AI-driven solutions are aligned with business objectives. Develop & deploy AI-powered applications, including predictive analytics, intelligent automation, & natural language processing (NLP), into the SAP environment. Integrate SAP AI technologies with other SAP modules (such as SAP S/4HANA, SAP BW, SAP SuccessFactors) to enhance data-driven decision-making & business performance. Lead data science initiatives by developing AI models, algorithms, & data pipelines to analyse large sets of structured & unstructured data. Advise clients on data requirements for AI models & machine learning, including the collection, cleaning, & processing of data for AI integration. Evaluate AI technologies, tools, & platforms, & recommend the best solutions for clients. Provide expertise in AI governance, ensuring ethical AI implementation & compliance with data privacy regulations. Deliver training & knowledge transfer to clients, enabling them to adopt AI technologies within their business processes. Conduct system testing, troubleshooting, & debugging to ensure successful deployment & execution of AI solutions. Stay up to date with emerging AI technologies, trends, & best practices, applying this knowledge to optimize SAP AI solutions. Preferred Skills Experience with AI-driven chatbots, virtual assistants, or AI-powered customer service solutions. Familiarity with SAP Intelligent Robotic Process Automation (RPA) & how AI integrates into business process automation. Knowledge of deep learning, computer vision, & speech recognition technologies. Experience working with large-scale data sets & leveraging big data platforms such as SAP Data Hub. Ability to design & implement AI models in cloud & on-premise environments. Experience in the automotive, manufacturing, or retail industries is a plus, as these sectors are increasingly adopting AI solutions. You are requested to Email updated resume with following details Current Location Please confirm you are ready to work Near Pune Do you have 5+ years of relevant experience Relevant experience in implementing AI solutions, with a strong background in SAP technologies , (In years) Relevant experience in SAP AI , Sap Cloud Platform , S/4HANA , SAP AI/ML , SAP BTP , SAP Analytics Cloud , Sap Cloud(In years) Relevant experience in designing AI use cases, AI-driven business processes & integrating advanced AI technologies(In years) Relevant experience in machine learning, predictive analytics, & intelligent automation into SAP applications. (In years) Relevant experience in design & implementation of AI & Machine Learning solutions integrated with SAP systems (S/4HANA, SAP Analytics Cloud, SAP Leonardo, etc.). Do you have Deep understanding of SAP AI/ML capabilities, including SAP AI Foundation, SAP Leonardo, & SAP Business Technology Platform (BTP)? Can you work with SAPs AI capabilities, including SAP AI Foundation, SAP Business Technology Platform (BTP) & SAP Leonardo to create custom AI solutions? Can you Develop & deploy AI-powered applications, including predictive analytics, intelligent automation, & natural language processing (NLP), into the SAP environment? Can you Integrate SAP AI technologies with other SAP modules (such as SAP S/4HANA, SAP BW, SAP SuccessFactors) to enhance data-driven decision-making & business performance? Can you Lead data science initiatives by developing AI models, algorithms, & data pipelines to analyse large sets of structured & unstructured data? Can you Advise clients on data requirements for AI models & machine learning, including the collection, cleaning, & processing of data for AI integration? Can you Evaluate AI technologies, tools, & platforms, & recommend the best solutions for clients? Team Size Managed ( Direct & Indirect) Current Salary (Fixed + Variable) Expected Salary Minimum period required for Joining Languages known Please self-rate : your English Communication skills on a scale of 1 to 10 (10 being highest) Contact Details, Residence & Mobile No What’s App No./ Skype ID In case you are not interested, we would appreciate, if you can refer us, suitable matching profiles from your rich contacts [[[[[[[[[[[[[[[[[[[[[[[[[[[[[[[[[[[[[[[[[[[[[[[[[[[[[[[[[[[[[[[[[[[[[[[[[[[[[[[[[[[[[[[[[[[[[[[[[[[[[[[[[[[[[[[[[[ Best Regards Pradeep Kumar / Mumbai Email: pradeep@intellectualcapital.co.in Cell: 8828181917 / 9323272361 [[[[[[[[[[[[[[[[[[[[[[[[[[[[[[[[[[[[[[[[[[[[[[[[[[[[[[[[[[[[[[[[[[[[[[[[[[[[[[[[[[[[[[[[[[[[[[[[[[[[[[[[[[[[[[[[[

Job Brief We are seeking an AI Lead Engineer to join our Digital Engineering team, focusing exclusively on Innovation Initiatives. As part of our dynamic group, you will contribute to cutting-edge AI-driven platforms and future-trend projects. The ideal candidate possesses deep expertise in machine learning and AI, with a proven record of developing scalable solutions. This role demands a delivery-focused mindset, emphasizing quick, incremental outputs in an agile environment. Priority will be given to candidates who have demonstrated experience in building small applications using existing libraries and datasets, creating layers or wrappers to develop innovative solutions. We value the ability to integrate and unify existing technologies rather than developing from scratch, as this approach aligns with our fast-paced, innovation-driven environment. You'll balance innovative thinking with practical implementation, driving substantial business impact through rapid prototyping and deployment of AI solutions. Responsibilities Develop cutting-edge AI solutions for future trends Rapidly prototype and deliver impactful features (DemoBytes) Integrate existing libraries/datasets for novel applications Develop select features from scratch when necessary Collaborate cross-functionally on AI innovations Proactively improve systems based on AI trends Participate in agile development processes Deliver frequent, incremental outputs Balance innovation with practical implementation Requirements and Skills Master's in Computer Science, Engineering, AI, or a related field 7+ years of experience in developing and deploying machine learning models and AI solutions. Handled team of minimum 5. Strong proficiency in Python; familiarity with Java and R Expertise in machine learning, deep learning, natural language processing (NLP), and computer vision Hands-on experience with AI frameworks such as TensorFlow, PyTorch, or Keras Solid understanding of data structures, algorithms, and software design principles Knowledge of RESTful APIs and microservices architecture Familiarity with agile development methodologies Strong problem-solving skills and ability to work effectively in a team environment Excellent communication skills to explain complex AI concepts to both technical and non-technical stakeholders Preferred Qualifications Experience with reinforcement learning and generative AI models Knowledge of MLOps practices and tools (e.g., MLflow, Kubeflow) Experience with database systems (SQL and NoSQL) Contributions to open-source AI projects or research publications in the field of AI.

Responsibilities : - Design and Development : Architect, design, and develop user-friendly and scalable AI-powered applications using React.js for the frontend and Node.js for the backend. - Generative AI Implementation : Implement, integrate, and fine-tune Generative AI models (e.g., text generation, image synthesis) for specific application requirements. - API Development and Integration : Develop and consume RESTful and GraphQL APIs to facilitate communication between frontend applications and AI/ML models and backend services. - LLM and NLP Integration : Leverage Large Language Models (LLMs) and Natural Language Processing (NLP) techniques to enhance application features and user interactions. - Machine Learning Frameworks : Utilize and integrate various machine learning frameworks (e.g., TensorFlow, PyTorch, scikit-learn) as needed for specific AI functionalities. - Performance Optimization : Optimize AI models and application code for performance, scalability, reliability, and cost-effectiveness. - Collaboration : Collaborate effectively with data scientists, machine learning engineers, backend developers, product managers, and designers throughout the development lifecycle. - Code Quality and Best Practices : Write clean, well-documented, and testable code, adhering to best practices and contributing to CI/CD pipelines for continuous integration and deployment. - Research and Innovation : Stay abreast of the latest advancements in Generative AI, Large Language Models, NLP, web development technologies, and industry trends. Proactively explore and propose new technologies and approaches to enhance our products. - Problem Solving : Troubleshoot and resolve technical issues related to AI model integration, application performance, and API interactions. - Documentation : Create and maintain comprehensive technical documentation for developed components and systems. Qualifications : - Education : Bachelor's or Master's degree in Computer Science, Software Engineering, Artificial Intelligence, or a related field. - Experience : [Specify the desired years of experience - e.g., 2-5 years] of professional experience in full-stack development with a focus on frontend (React.js) and backend (Node.js) technologies. - Frontend Expertise : Proven experience in developing responsive and dynamic user interfaces using React.js, including state management libraries (e.g., Redux, Zustand, Context API), component-based architecture, and modern JavaScript (ES6+). - Backend Expertise : Solid experience in developing robust and scalable backend applications using Node.js and frameworks like Express.js or NestJS. - API Development : Strong understanding and practical experience in designing and implementing RESTful and/or GraphQL APIs. - AI/ML Fundamentals : Familiarity with fundamental concepts of Artificial Intelligence and Machine Learning, including different types of models and their applications. - Generative AI Exposure : Experience with implementing or fine-tuning Generative AI models (e.g., using libraries or cloud-based services). - LLM and NLP Knowledge : Understanding of Large Language Models (LLMs) and Natural Language Processing (NLP) concepts and their practical applications. - Machine Learning Frameworks (Desirable) : Familiarity with one or more machine learning frameworks such as TensorFlow, PyTorch, or scikit-learn. - Database Knowledge : Experience working with various database systems (e.g., PostgreSQL, MySQL, MongoDB). - DevOps Practices : Understanding of CI/CD pipelines and experience with relevant tools (e.g., Jenkins, GitLab CI/CD, GitHub Actions). - Testing : Experience with writing unit, integration, and end-to-end tests. - Problem-Solving Skills : Excellent analytical and problem-solving abilities. - Communication Skills : Strong written and verbal communication skills, with the ability to effectively communicate technical concepts to both technical and non-technical audiences. - Collaboration : Ability to work effectively in a collaborative team environment

About the job : We are looking for a highly skilled Senior AI/ML Engineer with 5+ years of experience to join our team. The ideal candidate should have extensive expertise in machine learning, deep learning, and AI model development, along with a strong background in Python, NLP, computer vision, and cloud-based AI solutions. Key Responsibilities : - Design, develop, and deploy AI/ML models for real-world applications. - Work with NLP, deep learning, and traditional ML algorithms to solve complex business problems. - Develop end-to-end ML pipelines, including data preprocessing, feature engineering, model training, and deployment. - Optimize model performance using hyperparameter tuning and model evaluation techniques. - Implement AI-driven solutions using TensorFlow, PyTorch, Scikit-learn, OpenAI APIs, Hugging Face, and similar frameworks. - Work with structured and unstructured data, performing data wrangling, transformation, and feature extraction. - Deploy models in cloud environments (AWS, Azure, or GCP) using SageMaker, Vertex AI, or Azure ML. - Collaborate with cross-functional teams to integrate AI models into production systems. - Ensure scalability, performance, and efficiency of AI/ML solutions. - Stay updated with emerging AI trends and technologies to drive innovation. Required Skills : - Strong experience in machine learning, deep learning, NLP, and AI model development. - Proficiency in Python, TensorFlow, PyTorch, Scikit-learn, and OpenAI GPT models. - Expertise in NLP techniques (Word2Vec, BERT, transformers, LLMs, text classification). - Hands-on experience with computer vision (CNNs, OpenCV, YOLO, custom object detection models). - Solid understanding of ML model deployment and MLOps (Docker, Kubernetes, CI/CD for ML models). - Experience in working with cloud platforms (AWS, Azure, GCP) for AI/ML model deployment. - Strong knowledge of SQL, NoSQL databases, and big data processing tools (PySpark, Databricks, Hadoop, Kafka, etc. -Familiarity with API development using Django, Flask, or FastAPI for AI solutions. - Strong problem-solving, analytical, and communication skills. Preferred Skills : - Experience with AI-powered chatbots and OpenAI API integration. - Exposure to LLMs (GPT, LLaMA, Falcon, etc.) for real-world applications. - Hands-on experience in generative AI models.