847 Nlp Jobs - Page 9

You will be part of a team that is redefining how children explore and learn in a connected world. The mission is to create smart experiences for kids that encourage curiosity, critical thinking, and independence. As the Founding AI Engineering Lead, you will have a pivotal role in bringing this mission to fruition right from the beginning. Your responsibilities will include designing and architecting the AI/ML stack, setting the technical direction of the company, fine-tuning large language models (LLMs) for child-friendly interactions, training LLMs on multimodal datasets, evaluating different models for performance and scalability, prototyping conversational behaviors, implementing trustworthy AI practices, ensuring data security and privacy compliance, building ML pipelines with MLOps best practices, planning for scalability across different environments, and collaborating with business stakeholders to translate requirements into technical specifications. To excel in this role, you should have at least 5 years of experience in AI/ML/NLP, with a focus on LLMs for at least 1 year. You should also possess a proven track record of fine-tuning, training, and optimizing LLMs, a deep understanding of transformer architectures, attention mechanisms, and generative models, strong Python skills with experience in PyTorch, Hugging Face, TensorFlow, and Weights & Biases, familiarity with LLM orchestration frameworks, cloud platforms, privacy-preserving techniques, alignment techniques, MLOps tooling, and containerization, along with the ability to work independently and in a fast-paced, early-stage environment. Additionally, having experience in building conversational agents, interactive storytelling tools, or child-facing applications, familiarity with speech-to-text, voice synthesis, or multimodal learning, knowledge of retrieval-augmented generation and regulatory frameworks, will be considered as bonus points. Joining this team will give you the opportunity to define the future of child-safe AI right from the beginning, influence all aspects of the product and technical stack, collaborate with a passionate and visionary team, and have ownership and long-term impact.,

Java + AI/ML role required with at least 6+ years of industry experience on Java, Spring Boot, Spring Data & at least 2 years of AI/ML project / professional experience. Strong experience in building and consuming REST APIs and asynchronous messaging (Kafka/RabbitMQ). Working experience in integrating AI/ML models into Java services or calling external ML endpoints (REST/gRPC). Understanding of ML lifecycle: training, validation, inference, monitoring, and retraining. Familiarity with tools like TensorFlow, PyTorch, Scikit-Learn, or ONNX. Prior experience in domain-specific ML implementations (e.g., fraud detection, recommendation systems, NLP chatbots) Experience working with data formats like JSON, Parquet, Avro, and CSV. Solid understanding of database systems both SQL (PostgreSQL, MySQL) and NoSQL (Redis). Integrate machine learning models (batch and real-time) into backend systems and APIs. Optimize and automate AI/ML workflows using MLOps best practices. Monitor and manage model performance, versioning, and rollbacks. Collaborate with cross-functional teams (DevOps, SRE, Product Engineering) to ensure seamless deployment. Exposure to MLOps tools like MLflow, Kubeflow, or Seldon. Experience with any 1 of the cloud platforms, preferably AWS & Knowledge of observability tools & its metrics, events, logs, and traces (for e.g., Prometheus, Grafana, Open Telemetry, Splunk, Data Dog, App Dynamics, etc..).

Locations : Chennai, Bangalore, Kochi, Trivandrum 5+ years of Relevant experience on designing and developing Java technologies Exposure to Micro services and API design Familiar with MERN, Kotlin/Flutter AWS based solutions CI/CD based on Jenkins Automation service tests and unit tests Bias to automate all repeated efforts using scripts and tools Familiar with Agile methodology Ability to adapt and pick up new skills and technologies Keen to learn digital capabilities on different platforms including but not limited to NLP, Conversation platforms, personalization, social integration, data analytics etc. Preference for experience in retail/ecommerce/digital platforms

Role & responsibilities Design, prototype, and deploy AI-driven applications leveraging LLMs (GPT-4, Perplexity, Claude, Gemini, etc.) and open-source transformer models. Lead or co-lead end-to-end AI/GenAI solutions : from data ingestion, entity extraction, and semantic search to user-facing interfaces. Implement RAG (Retrieval-Augmented Generation) architectures, knowledge grounding pipelines, and prompt orchestration logic. Fine-tune transformer models (BERT, RoBERTa, T5, LLaMA) on custom datasets for use cases like: Document understanding Conversational AI Question answering Summarization & Topic Modeling Integrate LLM workflows into scalable backend architectures with APIs and frontends. Work closely with business teams and pharma SMEs to translate requirements into GenAI solutions . Mentor junior engineers and contribute to AI capability development across the organization. Tech Stack & Skills Required Programming & Libraries : Python, FastAPI, LangChain, Pandas, PyTorch/TensorFlow, Transformers (HuggingFace), OpenAI SDK. Data Extraction & Processing : PDFMiner, PyMuPDF, Tabula, PyPDF2, Tesseract OCR, python-pptx. Gen AI / LLMs : OpenAI (GPT), Gemini, Perplexity, Cohere, DeepSeek, Mistral, LLaMA, BERT, RoBERTa, T5, Falcon. Use Cases : NER, Summarization, QA, Document Parsing, Clustering, Topic Modeling, QA over docs. Embedding & Vector Databases : Pinecone, FAISS, ChromaDB. RAG & Retrieval Pipelines : LangChain, Haystack, custom retrievers. Frontend/Backend Integration : React (preferred), FastAPI/Flask, REST/GraphQL APIs. Versioning & Deployment : Git, Docker, CI/CD (basic), cloud knowledge is a plus (AWS/GCP/Azure). Preferred candidate profile Degree in Computer Science, Engineering, Data Science, or related field (BE/BTech/MTech/MCA). 35 years of hands-on experience in AI/ML/NLP/LLM solution development. Strong understanding of GenAI, Prompt Engineering, LLM internals , and multi-layered data architectures. Exposure to pharma/healthcare domain is a significant plus. Excellent problem-solving skills, self-learner, and ability to work in cross-functonal teams. Experience developing new applications within an agile environment preferred. Ability to work independently and as part of a team. Exposure to MLOPs will be an added advantage.

Neuroniks is a tech company that specializes in digital transformation, software development, data engineering, ML/AI, and cloud solutions. With a focus on building tomorrow's solutions with today's visionary expertise, Neuroniks delivers exceptional products that require minimal maintenance. The company offers advanced software development, IT consulting, data analytics, machine learning solutions, NLP, generative AI implementation, and more. This is a contract, on-site Solution Architect role located in Chandigarh, India at Neuroniks. As a Solution Architect, you will be responsible for designing, implementing, and overseeing software solutions. You will collaborate with developers and stakeholders to ensure alignment with business goals and requirements. To qualify for this role, you should have a solid understanding of software development, data engineering, and cloud solutions. Experience in IT consulting and solution architecture is required. Knowledge of machine learning, NLP, and generative AI is essential. You should be able to collaborate effectively with cross-functional teams and possess excellent communication and presentation skills. Experience with mobile app and web development is a plus. A Bachelor's degree in Computer Science, Engineering, or a related field is required. Relevant certifications such as AWS Certified Solutions Architect would be beneficial.,

As a Consultant Data Scientist on a contractual role for a duration of 6 months, you should possess a strong understanding of Data Structures and Algorithms. Your proficiency in advanced programming skills, especially in Python, is mandatory for this role. Additionally, having a working knowledge of C++ would be beneficial. Your responsibilities will include hands-on experience with AI/ML, Deep Learning (CNN, RNN), LLMs, classification, and clustering. It is essential to have a good grasp of algorithm design and development. Familiarity with reinforcement learning, computer vision, or NLP would be an advantage in this position. The ideal candidate should be open to working part-time and must be comfortable with a contractual arrangement. The budget for this role ranges from 80k to 1.3 Lacs per month. The job type is contractual/temporary, with a contract length of 6 months. In addition to the technical requirements, you should be willing to work in person at the specified work location. As a Consultant Data Scientist, you will have the benefit of a flexible schedule. If you meet these qualifications and are interested in this opportunity, please send your CV to soumojit.roy@rebaca.com. To apply for this role, please consider the following questions: - Are you willing to work as a consultant on a 6-month contract - On a scale of 1 to 10, how would you rate your proficiency in Python - What are your monthly salary expectations We look forward to receiving your application and potentially welcoming you to our team as a Consultant Data Scientist.,

At our organization, we prioritize people and are dedicated to providing cutting-edge AI solutions with integrity and passion. We are currently seeking a Senior AI Developer who is proficient in AI model development, Python, AWS, and scalable tool-building. In this role, you will play a key part in designing and implementing AI-driven solutions, developing AI-powered tools and frameworks, and integrating them into enterprise environments, including mainframe systems. Your responsibilities will include developing and deploying AI models using Python and AWS for enterprise applications, building scalable AI-powered tools, designing and optimizing machine learning pipelines, implementing NLP and GenAI models, developing Retrieval-Augmented Generation (RAG) systems, maintaining AI frameworks and APIs, architecting cloud-based AI solutions using AWS services, writing high-performance Python code, and ensuring the scalability, security, and performance of AI solutions in production. To qualify for this role, you should have at least 5 years of experience in AI/ML development, expertise in Python and AWS, a strong background in machine learning and deep learning, experience in LLMs, NLP, and RAG systems, hands-on experience in building and deploying AI models, proficiency in cloud-based AI solutions, experience in developing AI-powered tools and frameworks, knowledge of mainframe integration and enterprise AI applications, and strong coding skills with a focus on software development best practices. Preferred qualifications include familiarity with MLOps, CI/CD pipelines, and model monitoring, a background in developing AI-based enterprise tools and automation, and experience with vector databases and AI-powered search technologies. Additionally, you will benefit from health insurance, accident insurance, and a competitive salary based on various factors including location, education, qualifications, experience, technical skills, and business needs. You will also be expected to actively participate in monthly team meetings, team-building efforts, technical discussions, peer reviews, contribute to the OP-Wiki/Knowledge Base, and provide status reports to OP Account Management as required. OP is a technology consulting and solutions company that offers advisory and managed services, innovative platforms, and staffing solutions across various fields such as AI, cybersecurity, and enterprise architecture. Our team is comprised of dynamic, creative thinkers who are dedicated to delivering quality work. As a member of the OP team, you will have access to industry-leading consulting practices, strategies, technologies, innovative training, and education. We are looking for a technology leader with a strong track record of technical excellence and a focus on process and methodology.,

You will be joining our team in Hyderabad, Telangana as a Mid-Level Machine Learning Engineer or a Junior Machine Learning Engineer for developing custom Large Language Models (LLMs) and optimizing their performance for legal research applications. These positions provide a unique opportunity to contribute to our innovative project's AI backend and React-based frontend. As a Mid-Level Machine Learning Engineer, your responsibilities will include leading the design, implementation, and maintenance of machine learning models with a focus on NLP and LLMs for legal applications. You will enhance model training processes, data pipelines, and performance optimization for scalability. Collaborating with front-end developers to integrate AI functionalities into our React UI will be crucial to ensure a seamless user experience. Additionally, you will conduct rigorous testing and performance evaluations to drive continuous improvement. As a Junior Machine Learning Engineer, you will be supporting the development and maintenance of machine learning models and data processing tasks. Your role will involve assisting in the integration of AI technologies into our React-based front-end, working closely with senior engineers. Active participation in ongoing learning and team collaboration is essential to stay at the forefront of AI research and development. For the Mid-Level Engineer position, we require a Bachelor's or Master's degree in Computer Science, AI, Machine Learning (ML), or a related field. A strong understanding of ML and neural network (NN) concepts is necessary, along with proficiency in Python, ML frameworks such as Tensor Flow and PyTorch, and ML ops. For the Junior Engineer position, a Bachelor's degree in a relevant field is required. Candidates should have at least 1 year of machine learning experience or related internships, basic knowledge of Python and machine learning frameworks, and an interest in learning and contributing to React UI development. In addition to specific qualifications, we seek individuals with strong analytical, problem-solving, and communication skills. The ability to work effectively in a fast-paced, collaborative environment is crucial. A passion for innovation and continuous learning in AI and legal tech is highly valued in our team.,

As an AI & ML Engineer, you will be responsible for designing, developing, and deploying artificial intelligence and machine learning models to address business challenges and enhance IT and digital operations. Your role will be pivotal in the creation and integration of advanced AI products. You will be tasked with designing and building intricate machine learning models, as well as enhancing and upgrading existing systems. Your primary responsibilities will include designing machine learning systems, researching and implementing machine learning algorithms and tools, developing machine learning applications aligned with project requirements and business objectives, conducting machine learning tests and statistical analysis for system optimization, selecting suitable datasets and data representation methods, and collaborating with engineering and leadership teams on the design, prototyping, testing, and training of AI/ML solutions. To excel in this role, you should have experience with deep learning, NLP, and TensorFlow, proficiency in writing robust code in Python and Java, expertise in REST API development, NoSQL database design, and RDBMS design and optimization, as well as knowledge of fundamental algorithms and object-oriented and functional design principles. This position requires a minimum of 4+ years of experience and a qualification of M.Tech/MCA/ B.Tech/Any Bachelors Degree in Computer Science or related field. The job location is InfoPark - Koratty. Join us in shaping the future of AI and machine learning technologies by leveraging your expertise and skills in this dynamic and challenging role.,

As an intern at Vumonic, your day-to-day responsibilities will involve extracting and parsing email receipts in HTML and PDF formats to identify key data points. You will be required to develop scripts to convert unstructured data into structured formats such as JSON and CSV. Additionally, you will implement regex, NLP, and AI techniques to enhance data extraction accuracy. Collaborating with the data team, you will refine parsing logic and automate processes. Writing SQL queries to store, retrieve, and manipulate structured data will be part of your tasks. When necessary, you will utilize R for data cleaning, analysis, and visualization. Moreover, you will explore and integrate AI/ML-based approaches to improve data extraction and validation. It is essential to stay updated with the latest advancements in AI, NLP, and data parsing technologies. You will also be responsible for testing, validating, and optimizing data pipelines for scalability. About Company: Vumonic is a provider of global data and market intelligence services that assist companies in making data-driven decisions related to strategy, marketing, sales, investments, and more, ultimately enhancing ROI. Vumonic is a rapidly growing startup in the data analytics field with a flat hierarchy.,

As a participant in the 4 to 6-month paid internship at Mason Interactive starting in Fall 2025, you will have the opportunity to lead a groundbreaking ML/AI integration project aimed at revolutionizing the utilization of marketing data. Your role will involve developing predictive models, creating automated insights, and implementing AI-driven optimization strategies based on authentic client datasets. Your responsibilities will include building ML models to forecast campaign performance, optimizing marketing strategies, constructing automated data pipelines that merge various marketing data sources, designing interactive dashboards to visually represent ML insights for stakeholders, researching state-of-the-art AI methods to address marketing challenges, and collaborating across different functions to recognize ML applications in marketing workflows. To excel in this role, you should possess a strong foundation in ML, including supervised and unsupervised learning, neural networks, and NLP. Proficiency in Python and familiarity with ML libraries such as scikit-learn, TensorFlow, and PyTorch are essential. Moreover, experience in data preprocessing, feature engineering, SQL, database management, and data visualization tools like Tableau, Power BI, and Looker Studio will be advantageous. In addition to technical skills, a grasp of marketing metrics such as ROI, CPA, ROAS, and CPM is required. You should be able to translate ML insights into actionable marketing recommendations effectively. Soft skills are equally crucial for this role. Excellent communication skills with non-technical stakeholders, self-motivation coupled with strong project management abilities, and a problem-solving mindset to tackle data integration challenges are highly valued. Ideal candidates for this position are rising seniors or recent graduates in Computer Science, Data Science, ML, Statistics, or related fields. A portfolio showcasing ML applications to business problems is preferred. You must be available for a Fall 2025 start, commit to a period of 4 to 6 months, and be willing to work a minimum of part-time. By joining Mason Interactive, you will be part of a competitive paid internship program that offers real compensation. You will lead a transformative project at the convergence of marketing and AI, with the opportunity to make a real-world impact on client business outcomes. Working alongside marketing experts and data scientists, you will have a chance to build an exceptional portfolio and contribute to shaping the future of data-driven marketing. If you are ready to revolutionize marketing analytics with AI, this internship opportunity at Mason Interactive awaits your innovative contributions.,

Amplework Software is a full-stack development agency based in Jaipur (Rajasthan), IND, specializing in end-to-end software development solutions for clients worldwide. We are dedicated to delivering high-quality products that align with business requirements and leverage cutting-edge technologies. Our expertise encompasses custom software development, mobile applications, AI-driven solutions, and enterprise applications. Join our innovative team that drives digital transformation through technology. We are looking for a Mid-Level Python and AI Engineer to join our team. In this role, you will assist in building and training machine learning models using frameworks such as TensorFlow, PyTorch, and Scikit-Learn. You will experiment with pre-trained AI models for NLP, Computer Vision, and Predictive Analytics. Additionally, you will work with structured and unstructured data, collaborate with data scientists and software engineers, and continuously learn, experiment, and optimize models to enhance performance and efficiency. Ideal candidates should possess a Bachelor's degree in Computer Science, Engineering, AI, or a related field and proficiency in Python with experience in writing optimized and clean code. Strong problem-solving skills, understanding of machine learning concepts, and experience with data processing libraries are required. Familiarity with AI models and neural networks using frameworks like Scikit-Learn, TensorFlow, or PyTorch is essential. Preferred qualifications include experience with NLP using transformers, BERT, GPT, or OpenAI APIs, AI model deployment, database querying, and participation in AI-related competitions or projects. Soft skills such as analytical thinking, teamwork, eagerness to learn, and excellent English communication skills are highly valued. Candidates who excel in problem-solving, possess a willingness to adapt and experiment, and prefer a dynamic environment for AI exploration are encouraged to apply. A face-to-face interview will be conducted, and applicants should be able to attend the interview at our office location. Join the Amplework Software team to collaborate with passionate individuals, work on cutting-edge projects, make a real impact, enjoy competitive benefits, and thrive in a great working environment.,

You will be joining a forward-thinking team at Tecblic, a company specializing in delivering AI-driven solutions to empower businesses in the digital age. If you are passionate about Large Language Models (LLMs), machine learning, and pushing the boundaries of Agentic AI, we welcome you to be a part of our innovative team. As a Machine Learning Engineer at Tecblic, your key responsibilities will include conducting research and development to design and fine-tune machine learning models, with a specific focus on LLMs and Agentic AI systems. You will be responsible for optimizing pre-trained LLMs for domain-specific use cases, collaborating with software engineers and product teams to integrate AI models into customer-facing applications, and performing data preprocessing, pipeline creation, feature engineering, and exploratory data analysis for dataset preparation. Additionally, you will design and implement model deployment pipelines, prototype innovative solutions using cutting-edge techniques, and provide technical mentorship to junior team members. In terms of core technical skills, we require proficiency in Python for machine learning and data science tasks, expertise in ML frameworks and libraries like PyTorch, TensorFlow, and Hugging Face, a solid understanding of LLMs such as GPT, T5, BERT, or Bloom, experience in NLP tasks, knowledge of deep learning architectures, strong data manipulation skills, and familiarity with cloud services and ML model deployment tools. Exposure to Agentic AI, MLOps tools, generative AI models, prompt engineering, few-shot/fine-tuned approaches for LLMs, vector databases, version control, and collaborative development practices would be considered advantageous. Furthermore, we are looking for individuals with a strong analytical and mathematical background, including proficiency in linear algebra, statistics, and probability, as well as a solid understanding of algorithms and data structures to solve complex ML problems. Soft skills such as excellent problem-solving, critical-thinking, communication, collaboration, self-motivation, and continuous learning mindset are also highly valued. If you are ready to contribute your expertise and passion for machine learning and AI to a dynamic and innovative team, Tecblic is the place for you. Join us in pushing the boundaries of technology and creating impactful AI-driven solutions for businesses in the digital era.,

As a Data Scientist at UST, you will independently develop data-driven solutions to tackle complex business challenges by utilizing analytical, statistical, and programming skills to collect, analyze, and interpret large datasets under supervision. Your role involves working closely with stakeholders across the organization to identify opportunities for leveraging customer data in creating models that generate valuable business insights. You will be responsible for creating new experimental frameworks, building automated tools for data collection, correlating similar datasets, and deriving actionable results. Additionally, you will develop predictive models and machine learning algorithms to analyze vast amounts of information, uncover trends, and patterns. By mining and analyzing data from company databases, you will drive optimization and improvement in product development, marketing techniques, and business strategies. Moreover, you will be expected to create processes and tools to monitor and analyze model performance, data accuracy, and develop data visualization and illustrations to address business problems effectively. Your role will also involve using predictive modeling to enhance and optimize customer experiences and other business outcomes. Collaboration with different functional teams to implement models and monitor outcomes is essential. You will be required to set and provide feedback on FAST goals for reportees. Key responsibilities include applying statistical techniques like regression, properties of distributions, and statistical tests to analyze data, as well as utilizing machine learning techniques such as clustering, decision tree learning, and artificial neural networks for data analysis. Moreover, you will be creating advanced algorithms and statistics through regression, simulation, scenario analysis, and modeling. In terms of data visualization, you will visualize and present data for stakeholders using tools like Periscope, Business Objects, D3, ggplot, etc. You will oversee the activities of analyst personnel, ensuring efficient execution of their duties, while mining the business's database for critical insights and communicating findings to relevant departments. Other expectations include creating efficient and reusable code for data improvement, manipulation, and analysis, managing project codebase through version control tools like git and bitbucket, and creating reports depicting trends and behaviors from analyzed data. You will also be involved in training end users on new reports and dashboards, documenting your work, conducting peer reviews, managing knowledge, and reporting task status. The ideal candidate will possess excellent pattern recognition and predictive modeling skills, a strong background in data mining and statistical analysis, expertise in machine learning techniques, and advanced algorithm creation. Moreover, analytical, communication, critical thinking, attention to detail, mathematical, and interpersonal skills are crucial for success in this role. Proficiency in programming languages such as Java, Python, R, web services like Redshift and S3, statistical and data mining techniques, computing tools, analytical languages, data visualization software, mathematics, spreadsheet tools, DBMS, operating systems, and project management tools is required. Additionally, a strong understanding of statistical concepts, SQL, machine learning (Regression and Classification), deep learning (ANN, RNN, CNN), advanced NLP, computer vision, Gen AI/LLM, AWS Sagemaker/Azure ML/Google Vertex AI, and basic implementation experience of Docker, Kubernetes, kubeflow, MLOps, Python (numpy, panda, sklearn, streamlit, matplotlib, seaborn) is essential for this role.,

Join us as a Machine Learning/Artificial Intelligence Engineer, responsible for supporting the successful delivery of Location Strategy projects to plan, budget, agreed quality and governance standards. You'll spearhead the evolution of our digital landscape, driving innovation and excellence. You will harness cutting-edge technology to revolutionise our digital offerings, ensuring unparalleled customer experiences. To be successful as a Machine Learning/Artificial Intelligence Engineer, you should have experience with: - Good years of experience in IT with a background in Development, Machine Learning, and/or Data analysis. - Hands-on experience of NLP/AI/ML tools & technologies GPT, BERT, or other language models. - Experience in building GenAI applications, RAG-based architectures. - Model Development: Research, design, implement, and optimize machine learning models for specific use cases such as predictive analytics, NLP, computer vision, and recommender systems. - Data Preparation: Collect, preprocess, and analyze large datasets to extract meaningful insights and ensure data quality for model training. - Deployment: Build and deploy AI/ML solutions into production environments using appropriate tools and frameworks. - Knowledge of one of the cloud platforms is a must: AWS/AZURE. - Collaboration: Work closely with product managers, data engineers, and software developers to integrate AI capabilities into products and ensure alignment with business objectives. - Performance Monitoring: Evaluate and monitor model performance and accuracy post-deployment, iterating to address challenges and refine models as needed. - Strong Affinity to stay informed on the latest trends, tools, and research in AI and machine learning space. - Support and contribute to data collection efforts, as needed. - Verify data quality to ensure accurate analysis and reporting. - Help identify the business data needed to produce the most useful insights and future analytics. - Utilize data to make actionable recommendations at all levels. - Monitor data management processes to ensure data quality and consistency. - Monitor system performance, data integrity, and usage metrics. - Contribute to data dictionary, standards, training, and ongoing updates. Some other highly valued skills may include: - Web service development experience using REST services/APIs, JSON, XML, IVRs, Jenkins, other Cloud Platforms. - Experience in setting up DevOps pipelines. You may be assessed on the key critical skills relevant for success in the role, such as risk and controls, change and transformation, business acumen, strategic thinking, and digital and technology, as well as job-specific technical skills. This role is based in Pune. Purpose of the role: To design, develop, and improve software, utilizing various engineering methodologies, that provides business, platform, and technology capabilities for our customers and colleagues. Accountabilities: - Development and delivery of high-quality software solutions by using industry-aligned programming languages, frameworks, and tools. Ensuring that code is scalable, maintainable, and optimized for performance. - Cross-functional collaboration with product managers, designers, and other engineers to define software requirements, devise solution strategies, and ensure seamless integration and alignment with business objectives. - Collaboration with peers, participate in code reviews, and promote a culture of code quality and knowledge sharing. - Stay informed of industry technology trends and innovations and actively contribute to the organization's technology communities to foster a culture of technical excellence and growth. - Adherence to secure coding practices to mitigate vulnerabilities, protect sensitive data, and ensure secure software solutions. - Implementation of effective unit testing practices to ensure proper code design, readability, and reliability. Assistant Vice President Expectations: - To advise and influence decision-making, contribute to policy development, and take responsibility for operational effectiveness. Collaborate closely with other functions/business divisions. - Lead a team performing complex tasks, using well-developed professional knowledge and skills to deliver work that impacts the whole business function. Set objectives and coach employees in pursuit of those objectives, appraisal of performance relative to objectives, and determination of reward outcomes. - If the position has leadership responsibilities, People Leaders are expected to demonstrate a clear set of leadership behaviors to create an environment for colleagues to thrive and deliver to a consistently excellent standard. The four LEAD behaviors are: L Listen and be authentic, E Energize and inspire, A Align across the enterprise, D Develop others. - OR for an individual contributor, they will lead collaborative assignments and guide team members through structured assignments, identify the need for the inclusion of other areas of specialization to complete assignments. They will identify new directions for assignments and/or projects, identifying a combination of cross-functional methodologies or practices to meet required outcomes. - Consult on complex issues; providing advice to People Leaders to support the resolution of escalated issues. - Identify ways to mitigate risk and developing new policies/procedures in support of the control and governance agenda. - Take ownership of managing risk and strengthening controls in relation to the work done. - Perform work that is closely related to that of other areas, which requires understanding of how areas coordinate and contribute to the achievement of the objectives of the organization sub-function. - Collaborate with other areas of work, for business-aligned support areas to keep up to speed with business activity and the business strategy. - Engage in complex analysis of data from multiple sources of information, internal and external sources such as procedures and practices (in other areas, teams, companies, etc.) to solve problems creatively and effectively. - Communicate complex information. "Complex" information could include sensitive information or information that is difficult to communicate because of its content or its audience. - Influence or convince stakeholders to achieve outcomes. All colleagues will be expected to demonstrate the Barclays Values of Respect, Integrity, Service, Excellence, and Stewardship our moral compass, helping us do what we believe is right. They will also be expected to demonstrate the Barclays Mindset to Empower, Challenge, and Drive the operating manual for how we behave.,

At CredArtha, we are revolutionizing financial intelligence with FINA (Financial Intelligence & Neural Analyst), our proprietary vertical LLM designed to process, analyze, and generate financial insights. Our mission is to empower financial institutions, businesses, and individuals with AI-driven precision, efficiency, and automation in financial decision-making. We are looking for a Senior Machine Learning Engineer who is passionate about LLMs, deep learning, and NLP and is eager to build cutting-edge AI models tailored for financial data processing, document understanding, and predictive analytics. If you have expertise in training and fine-tuning open-source LLMs, developing retrieval-augmented generation (RAG) systems, and optimizing NLP models for real-world applications, we want you on our team. As a Senior Machine Learning Engineer, you will: LLM Development & Optimization - Design, train, and fine-tune FINA, leveraging open-source LLMs such as LLaMA, Falcon, Mistral, and GPT-J for financial applications. - Implement parameter-efficient fine-tuning (PEFT) techniques to optimize model efficiency while maintaining accuracy. - Work on self-learning mechanisms to ensure FINA continuously evolves through user interactions and real-time financial data ingestion. NLP & Financial Data Processing - Develop and enhance NLP models for document understanding, financial risk analysis, and transaction categorization. - Work on named entity recognition (NER), sentiment analysis, topic modeling, and automated financial report generation. - Design embedding models and vector search architectures to create a robust financial knowledge base. RAG & AI-Powered Financial Insights - Implement retrieval-augmented generation (RAG) pipelines to enhance LLM response accuracy and domain knowledge. - Build custom search and retrieval mechanisms using vector databases like FAISS, Weaviate, or ChromaDB. - Develop multi-modal AI models that combine structured and unstructured financial data to provide deep insights and analytics. Deployment, MLOps & Scalability - Deploy and manage FINA using cloud platforms (AWS/GCP), containerization (Docker, Kubernetes), and MLOps best practices. - Optimize models for low-latency inference and scalability using quantization, distillation, and model pruning techniques. - Implement real-time monitoring and feedback loops to improve model performance and user experience. Ideal Candidate Profile We are looking for someone who has: - Hands-on experience in Machine Learning, Deep Learning, and NLP (LLMs, Transformers, RNNs, etc.). - Strong proficiency in Python, with experience in TensorFlow, PyTorch, Hugging Face Transformers, and LangChain. - Expertise in fine-tuning LLMs, self-supervised learning, and AI explainability. - Experience working with financial data (bank statements, credit reports, transactional data, risk models, etc.). - Strong knowledge of vector embeddings, search algorithms, and RAG implementations. - Familiarity with database technologies (SQL, MongoDB, NoSQL) and cloud platforms (AWS, GCP, Azure). Bonus: Experience in financial risk modeling, fraud detection, or credit scoring models. Why Join CredArtha - Innovate at the intersection of AI & Finance. Work on groundbreaking AI-driven financial solutions. - Build FINA from the ground up. Develop a vertical LLM that will be at the core of CredArtha's technology stack. - Impact millions. Help businesses and financial institutions automate, analyze, and optimize decision-making with AI. - Freedom to experiment. Push the boundaries of deep learning and NLP in a fast-paced, innovation-driven environment.,

As a Healthcare Technology Organization dedicated to simplifying, accelerating, and optimizing care delivery for healthcare enterprises, AVIZVA has been a strategic enabler in the industry since 2011. With a proven track record of over 13 years, we have designed and delivered more than 150 customized products for prominent Medical Health Plans, Dental and Vision Plan Providers, PBMs, Medicare Plan Providers, TPAs, and other healthcare entities. In your role as an Associate Manager - Applied Machine Learning at AVIZVA, you will be at the forefront of architecting, designing, and developing advanced GenAI products and services. Your responsibilities will include leveraging your technical expertise in machine learning to lead a team effectively and contribute to the development of Large Language Model (LLM) based products. By combining GenAI and traditional ML approaches, you will play a crucial role in meeting key product requirements. Collaboration is key in this role, as you will work closely with cross-functional teams, including product managers and business leaders, to deliver scalable machine-learning solutions that align with business objectives. **Job Responsibilities:** - Lead the team by setting clear goals, priorities, and performance expectations that align with business objectives. - Architect and oversee the lifecycle of LLM based GenAI projects, ensuring timely delivery in line with business needs. - Take ownership of technical and operational challenges, providing solutions to keep projects on track. - Collaborate with infrastructure and engineering teams to seamlessly deploy and integrate models into production environments. - Foster a culture of continuous improvement through agile practices and regular retrospectives. - Stay updated on emerging machine learning technologies and prototype new algorithms to tackle complex challenges. - Motivate the team to deliver high-quality results on time while maintaining a collaborative work environment. **Skills & Qualifications:** - Bachelor's or Master's degree in Computer Science or a related analytical field. - Minimum of 1 year of experience in Gen AI, Agentic AI, and Large Language Models. - Hands-on experience in building RAG pipelines and utilizing NLP, NLG, Text Analytics, and Transformer-based models. - 10+ years of experience as an Applied Machine Learning Engineer or Data Scientist, with expertise in Python. - Strong knowledge of system design, architecture, design principles, and Core Python. - Proficiency in ensemble models, classification, clustering algorithms, and Object-Oriented Programming. - Experience with ORM tools, RESTful services, debugging, testing frameworks, and web development. - Familiarity with Agile methodology, excellent communication, and problem-solving skills. Join AVIZVA to be a part of a dynamic team that is dedicated to transforming healthcare delivery through innovative technology solutions.,

The role of a Software Engineer (Node Js) at Nuacem involves being hands-on in web services and server-side experience. Your responsibilities will include analyzing business requirements, collaborating with different business teams, and participating in the solution design process. You will primarily work with Node.js, NOSQL, and other relevant technologies as part of the core development team, focusing on developing server APIs/components and scaling applications and database infrastructure processes. With a minimum experience range of 5 years, you will work on high traffic/real-time Enterprise apps, following Agile Methodologies, Design Patterns, and Software Revision Control Systems. You are expected to gain experience in scaling applications and database infrastructure in an innovative and creative environment. The ideal candidate must possess strong expertise in either Java or Python, along with Node.JS. Proficiency in JSON, Redis/MongoDB, and Web Sockets is essential. Additional knowledge of AI, NLP, ML, and Chatbots would be advantageous. Familiarity with Linux/Unix flavors, Web Services using REST and SOAP, different authentication/authorization techniques, server-side programming, code documentation, and handover is required. Basic knowledge of Sockets, Queuing Systems like RabbitMQ, Kafka, building scalable, high-available platforms, exposure to cloud platforms like AWS/GCP/Azure, and UI-side development experience in Java Script/Angular.JS/React.JS/Vue.JS would be beneficial. As a Sr. Backend Developer at Nuacem, this full-time position is based in Hyderabad. Your leadership competencies will be vital, including strategic thinking, driving results, fostering a high-performance culture, and inspiring/teaching others to excel.,

You will be responsible for designing and developing scalable AI and machine learning models to address complex business challenges. Your role will involve leading end-to-end model development, including data collection, preprocessing, training, validation, deployment, and monitoring. Collaboration with cross-functional teams, such as data engineers, software developers, and product managers, will be essential. Additionally, you will optimize existing AI models for enhanced performance and accuracy. To excel in this role, you should stay abreast of the latest research and trends in AI/ML and assess their relevance to company products. Documenting processes, models, and code for knowledge sharing and reproducibility purposes will also be part of your responsibilities. Furthermore, mentoring junior team members and fostering a culture of innovation will be key components of your role. The ideal candidate for this position should possess a Bachelor's or Master's degree in Computer Science, Data Science, Engineering, or a related field. You should have at least 5 years of experience in AI/ML, data science, or related roles. Proficiency in Python and ML frameworks like TensorFlow, PyTorch, and scikit-learn is essential. A solid grasp of machine learning algorithms, data structures, and software engineering principles is also required. Experience with cloud platforms such as AWS, Azure, or GCP, as well as familiarity with MLOps tools, will be advantageous. Hands-on experience in NLP, computer vision, or deep learning applications is desirable. Strong problem-solving and analytical skills, coupled with excellent communication and collaboration abilities, are crucial for success in this role. While a PhD in an AI/ML-related field is not mandatory, it would be a significant asset. Experience in deploying models in production environments using CI/CD pipelines, as well as contributions to open-source AI/ML projects or publications in esteemed journals or conferences, will be considered advantageous for this position.,

Build the future of the AI Data Cloud by joining the Snowflake team. Snowflake's founders created a data platform tailored for the cloud, making it effective, affordable, and accessible to all data users. Snowflake is designed to power the Data Cloud, allowing organizations to leverage their data with near-unlimited scale, concurrency, and performance. The vision is to provide endless insights to address today's challenges and opportunities while uncovering tomorrow's possibilities. We are seeking a talented Principal Software Engineer to contribute to the development of the Snowflake platform with cognitive capabilities. The team at Snowflake is focused on advancing the NLP space to state-of-the-art levels and innovating in the cognitive domain. With Snowflake's rapid growth, additional talent is required to drive this transformation. As a Principal Software Engineer in AI & ML, you will: - Develop customer-facing AI-based services such as intelligent document processing. - Design and implement highly scalable distributed platforms within the Snowflake platform. - Contribute to decision-making processes on technical and business matters. - Collaborate with engineers from various teams to deliver cross-functional initiatives. - Ensure operational readiness of services to meet customer commitments regarding reliability, availability, and performance. The ideal Principal Software Engineer will have: - 14+ years of industry experience in designing, building, and supporting large-scale systems in production. - A passion for AI/ML and NLP. - Extensive experience in building end-to-end customer-facing products. - Strong fundamentals in computer science, including proficiency in data structures, algorithms, and distributed systems (Fluency in Python or Java is preferred). - Knowledge of C, C++, and Go is advantageous. - Experience collaborating with cross-functional teams and product managers. - A degree in Computer Science, related majors, or equivalent experience (BS/MS/PhD). Please note that we offer a hybrid work model with 3 days per week in the Warsaw office and provide relocation assistance. Snowflake is experiencing rapid growth, and we are expanding our team to support and accelerate this growth. We are looking for individuals who share our values, challenge conventional thinking, drive innovation, and contribute to their own and Snowflake's future success. For job opportunities in the United States, please refer to the job posting on the Snowflake Careers Site for details on salary and benefits: careers.snowflake.com,

As a Python Developer, you will be responsible for building supervised (GLM ensemble techniques) and unsupervised (clustering) models using standard industry libraries such as pandas, scikit-learn, and keras. Your expertise in big data technologies like Spark and Dask, as well as databases including SQL and NoSQL, will be essential in this role. You should have significant experience in Python, with a focus on writing unit tests, creating packages, and developing reusable and maintainable code. Your ability to comprehend and articulate modeling techniques, along with visualizing analytical results using tools like matplotlib, seaborn, plotly, D3, and Tableau, will be crucial. Experience with continuous integration and development tools like Jenkins, as well as Spark ML pipelines, will be advantageous. We are looking for a self-motivated individual who can collaborate effectively with colleagues and contribute innovative ideas to enhance our projects. Preferred qualifications include an advanced degree with a strong foundation in the mathematics behind machine learning, including linear algebra and multivariate calculus. Experience in specialist areas such as reinforcement learning, NLP, Bayesian techniques, or generative models will be a plus. You should excel at presenting ideas and analytical findings in a compelling manner that influences decision-making. Demonstrated evidence of implementing analytical solutions in an industry context and a genuine enthusiasm for leveraging data science to enhance customer-centricity in financial services ethically are highly desirable qualities for this role.,

As a Digital Product Engineering company, Nagarro is currently seeking a professional with over 5 years of experience in the field to join our team. The ideal candidate should possess a deep understanding of Generative AI fundamentals and transformer-based architectures along with a strong experience in Cloud Architecture for deploying scalable AI systems using platforms such as AWS, Azure, or GCP. The successful candidate will have hands-on experience working with Generative AI models, particularly in Azure AI, and should be familiar with BERT, GPT, LLaMA, and similar LLMs. Proficiency in prompt engineering, RAG techniques, and fine-tuning and deploying models using frameworks like Hugging Face Transformers or LangChain is also required. Additionally, experience with multi-agent AI systems, collaborative model workflows, Python, machine learning libraries (e.g., PyTorch, TensorFlow), and integrating models into enterprise platforms and APIs is essential. Responsibilities for this role include understanding clients" business use cases and technical requirements, translating them into technical designs, mapping decisions with requirements, identifying and narrowing down solutions that best meet client requirements, defining guidelines and benchmarks for NFR considerations, writing and reviewing design documents, reviewing architecture and design for various aspects, developing and designing solutions for defined requirements, and resolving issues raised during code reviews through systematic analysis. Qualifications for this position include a Bachelor's or Master's degree in Computer Science, Information Technology, or a related field. If you are passionate about AI, NLP, and Knowledge Engineering and possess the required skills and experience, we invite you to join our dynamic and non-hierarchical work culture at Nagarro.,

As a Junior Data Scientist with 1 to 2.6 years of experience in AI and data science, you will be responsible for implementing machine learning models, conducting experiments, and collaborating with senior team members. You should have a foundational understanding of AI, ML, NLP, Opencv, Deep learning, Generative AI, and Computer Vision, along with a Bachelor's degree or Master's in computer science, mathematics, or a related field. Your main duties will include working on machine learning algorithms, assisting in data pipeline construction, and contributing to the enhancement of existing machine learning frameworks. Strong analytical skills, a basic understanding of probability and statistics, and familiarity with machine learning frameworks like TensorFlow, Keras, or PyTorch are essential for this role. Additionally, you should possess good time management, organizational skills, and communication abilities. This is a great opportunity to grow your skills in a supportive environment, collaborate with a talented team, and work on-site at various locations in India and globally. If you have a passion for continuous learning and innovation in the field of data science, this role is perfect for you. Join us in Indore - MP and be part of a dynamic team that values creativity, collaboration, and excellence. Apply now from multiple locations including Indore, Nagpur, Bhopal, Jabalpur, Nasik, Ujjain, Gwalior, Chhindwara, Kanpur, Patna, Bangalore, Chennai, Mumbai, Pune, Hyderabad, NCR, and Ahmedabad.,

Data Dynamics is a global leader in enterprise data management, specializing in Digital Trust and Data Democracy. With a client base of over 300 organizations, including 25% of the Fortune 20, Data Dynamics is dedicated to establishing a transparent, unified, and empowered data ecosystem. The company's AI-powered self-service data management software is reshaping traditional data management practices by granting data creators of all proficiency levels ownership and control over their data. As a Regional Solutions Engineer at Data Dynamics, you will assume a pivotal role in technical pre-sales and customer management. Throughout the pre-sales phase, your responsibilities will involve engaging with customers to elicit business and technical requirements, coordinating technical information, delivering demonstrations, and showcasing product positioning capabilities. You will need to conduct thorough research into the specific needs of customers and assess the feasibility of their requirements. Your proficiency will be crucial in evaluating customers" business demands and translating them into technical and licensing requisites. In instances involving Proof of Concept (POC) or a sale, you will collaborate with the sales representative for review. For existing customers where upselling or cross-selling is the primary objective, you will closely collaborate with the customer success manager allocated to the account and the global support team as necessary. A seamless handover to the implementation team before the customer's go-live phase is essential to ensure a smooth customer experience consistently. A core expectation is your capability to independently set up and conduct demonstrations and POCs from inception. The POC process necessitates defining and agreeing upon success criteria with the customer and sales representative, alongside monitoring the progress towards meeting the customer's objectives. Post POC, you are expected to secure customer approval through a presentation to Data Dynamics Sales and the customers" decision-makers. Furthermore, following any sale globally, your presence may be required to support or lead the installation, contingent on time zones and available resources. Given your regular interactions with both new and existing customers, understanding their business visions, goals, technical capacities, and constraints, you are anticipated to advocate for customers" needs. Providing feedback on business processes, technical matters, or enhancements to the relevant teams within Data Dynamics is crucial. Driving continuous enhancements across all aspects of our operations is vital to achieving our ultimate goal of ensuring customer success and satisfaction. Your responsibilities extend to scriptwriting when necessary, bug reporting, software testing, personal activity tracking, CRM updates, and communication updates to management. Occasional travel for customer or internal meetings may be part of the role. At Data Dynamics, we are committed to delivering an exceptional customer experience and fostering a collaborative, challenging, fun, and innovative work environment. If you are a customer-centric and passionate individual with a strong commitment to building world-class, scalable, data-driven software, we would like to connect with you. Qualifications: - Proficiency in Windows and Linux, Docker, and Kubernetes - Knowledge of SQL, Postgresql, Elasticsearch, File/NAS, and Object Storage - Familiarity with Data Discovery, Data Science, OCR, NLP, Computer Vision, AI, Keyword Search, Regex, Data Governance, GDPR, HIPAA, CCPA - Experience with Microservices-based applications, ITILv4, Project Management, and Data Migration - Prior experience in Presales and Integration - Strong problem-solving, presentation, and communication skills - Ability to collaborate effectively in a team setting - Background in data management or related field is advantageous - Bachelor's degree in Computer Science, Engineering, or a related field,

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