349 Nlp Jobs - Page 6

Role Responsibilities Develop and implement NLP models and algorithms to process large datasets. Enhance existing machine learning models to improve performance and accuracy. Conduct data preprocessing and feature extraction for various datasets. Analyze and visualize data to present insights to stakeholders. Stay updated with the latest trends in NLP and machine learning technologies. Collaborate with cross-functional teams to define project requirements and objectives. Develop and manage APIs for integrating NLP capabilities into applications. Perform statistical analysis on data and summarize results effectively. Assist in the deployment of machine learning models in production environments. Provide technical guidance and mentorship to junior team members. Document processes, projects, and findings for transparency and knowledge sharing. Conduct experiments to optimize model parameters and enhance performance. Participate in code reviews and contribute to a culture of continuous improvement. Implement best practices for software development including version control and testing. Engage in agile project management practices to ensure timely delivery of projects. Qualifications Bachelor's or Master's degree in Computer Science, Data Science, or related field. Proven experience in Natural Language Processing and Python programming. Strong knowledge of machine learning frameworks such as TensorFlow or PyTorch. Experience with libraries like NLTK, SpaCy, or similar. Solid understanding of statistical modeling and data analysis techniques. Familiarity with data visualization tools such as Matplotlib or Seaborn. Experience in developing APIs and integrating with software applications. Strong problem-solving and analytical skills. Ability to work independently and as part of a team. Excellent communication skills, both written and verbal. Hands-on experience with version control systems like Git. Knowledge of databases and SQL for data manipulation. Experience with agile project management methodologies. Passion for learning and staying updated with industry trends. Experience in software development best practices and testing. If you are passionate about leveraging NLP and Python to create impactful solutions, we invite you to apply and join our innovative team. Skills: text mining,data analysis,machine learning frameworks (tensorflow, pytorch),nltk,machine learning,deep learning,data analysis techniques,version control systems (git),python programming,agile project management,agile methodologies,statistical modeling,spacy,natural language processing,api development,data visualization,data visualization tools (matplotlib, seaborn),sql

Job Summary: We are seeking a highly skilled MLOps Engineer to design, deploy, and manage machine learning pipelines in Google Cloud Platform (GCP). In this role, you will be responsible for automating ML workflows, optimizing model deployment, ensuring model reliability, and implementing CI/CD pipelines for ML systems. You will work with Vertex AI, Kubernetes (GKE), BigQuery, and Terraform to build scalable and cost-efficient ML infrastructure. The ideal candidate must have a good understanding of ML algorithms, experience in model monitoring, performance optimization, Looker dashboards and infrastructure as code (IaC), ensuring ML models are production-ready, reliable, and continuously improving. You will be interacting with multiple technical teams, including architects and business stakeholders to develop state of the art machine learning systems that create value for the business. Responsibilities: Managing the deployment and maintenance of machine learning models in production environments and ensuring seamless integration with existing systems. Monitoring model performance using metrics such as accuracy, precision, recall, and F1 score, and addressing issues like performance degradation, drift, or bias. Troubleshoot and resolve problems, maintain documentation, and manage model versions for audit and rollback. Analyzing monitoring data to preemptively identify potential issues and providing regular performance reports to stakeholders. Optimization of the queries and pipelines. Modernization of the applications whenever required Qualifications: Expertise in programming languages like Python, SQL Solid understanding of best MLOps practices and concepts for deploying enterprise level ML systems. Understanding of Machine Learning concepts, models and algorithms including traditional regression, clustering models and neural networks (including deep learning, transformers, etc.) Understanding of model evaluation metrics, model monitoring tools and practices. Experienced with GCP tools like BigQueryML, MLOPS, Vertex AI Pipelines (Kubeflow Pipelines on GCP), Model Versioning & Registry, Cloud Monitoring, Kubernetes, etc. Solid oral and written communication skills and ability to prepare detailed technical documentation of new and existing applications. Strong ownership and collaborative qualities in their domain. Takes initiative to identify and drive opportunities for improvement and process streamlining. Bachelors Degree in a quantitative field of mathematics, computer science, physics, economics, engineering, statistics (operations research, quantitative social science, etc.), international equivalent, or equivalent job experience. Bonus Qualifications: Experience in Azure MLOPS, Familiarity with Cloud Billing. Experience in setting up or supporting NLP, Gen AI, LLM applications with MLOps features. Experience working in an Agile environment, understanding of Lean Agile principles.

Job Title: AI / ML Engineer Company: Mukesh Buildtech (Stealth Startup) Work Location: Salem, Tamil Nadu About Us: Mukesh Buildtech is an innovative stealth startup focused on a new marketplace. We are building a cutting-edge platform that leverages advanced technologies to provide unparalleled user experiences. Join our dynamic team and be a part of our exciting journey from the ground up. If you're interested, please send your updated CV to sumathi@mukeshassociates.com. Role Overview: We are seeking a talented and passionate AI/ML Engineer to join our founding team. In this role, you will be responsible for developing and deploying state-of-the-art computer vision models that will be integral to our marketplace platform. You will work closely with our engineering and product teams to create innovative solutions that enhance user interactions and streamline operations. Key Responsibilities: Develop and deploy advanced computer vision models to enhance platform capabilities. Developing and deploying ML models in production. Experience with generative models, video models, or multimodal models is a plus. Research, prototype, and implement new AI features using cutting-edge computer vision techniques. Optimize model performance for speed, accuracy, and scalability. Collaborate with cross-functional teams to translate customer requirements into AI features. Contribute to the technical vision and architecture of our AI systems. Stay up-to-date with the latest advancements in computer vision research and apply them to our products. Qualifications & Experience: Min 3 yrs experience in Image Recognition, Yolo11, OpenCV, Pytorch, Tensorflow, Python, Dataset At least one Product identification web project experience BE CS, IT, ECE, EEE, MCA Experience in Machine Learning (ML), with a particular emphasis on Computer Vision (CV) Comprehensive knowledge and hands-on experience with fine-tuning approaches and training models Experience with TensorFlow, PyTorch or Keras Proficiency in Python is essential, especially with libraries such as NumPy, OpenCV, and scikit-image Experience with databases (SQL and NoSQL) for managing datasets. Understanding of APIs (REST, GraphQL) for connecting computer vision models with frontend or other backend services Knowledge of cloud services (AWS, Azure, Google Cloud) for deploying and managing models Experience with Docker and Kubernetes for containerization and deployment Understanding of software development best practices, version control (Git), and CI/CD pipelines. Why Join Us: Be a part of a pioneering team at the forefront of marketplace innovation. Work in a collaborative and dynamic environment with opportunities for growth. Contribute to a product that will have a significant impact on the industry.

Job Title: AI / ML Engineer Company: Mukesh Buildtech (Stealth Startup) Work Location: Salem, Tamil Nadu About Us: Mukesh Buildtech is an innovative stealth startup focused on a new marketplace. We are building a cutting-edge platform that leverages advanced technologies to provide unparalleled user experiences. Join our dynamic team and be a part of our exciting journey from the ground up. If you're interested, please send your updated CV to sumathi@mukeshassociates.com. Role Overview: We are seeking a highly skilled Computer Vision & Machine Learning Engineer with expertise in AI-driven image recognition, object detection, and model deployment . The ideal candidate will have experience working with Stable Diffusion, SDXL, ControlNet, and LoRA models for advanced image generation, along with a solid background in TensorFlow, PyTorch, and OpenCV . You will be responsible for fine-tuning models, integrating AI-driven image-processing workflows, and deploying them at scale. Key Responsibilities: Develop and fine-tune Stable Diffusion, SDXL, ControlNet, LoRA models for computer vision applications. Implement inpainting, outpainting, and style transfer techniques to enhance image processing capabilities. Dynamically load LoRA adapters to optimize AI-generated content workflows. Deploy and maintain Inference APIs that trigger backend processes and return image blobs efficiently. Utilize Real-ESRGAN, SwinIR, and other upscaling models to improve image resolution and output quality. Integrate safety checkers to filter out NSFW/violent content within AI-generated images. Optimize GPU scheduling to ensure efficient routing of requests to available GPU workers. Implement model caching strategies to reduce unnecessary reloads and improve inference speed. Work with SQL and NoSQL databases to handle large-scale datasets for training and inference. Collaborate with cross-functional teams to develop and integrate AI models into production environments. Deploy models using cloud services (AWS, Azure, Google Cloud) and containerization tools such as Docker and Kubernetes . Maintain and improve CI/CD pipelines , version control ( Git ), and best practices for model deployment. Adapt pre-trained LLMs for image and product identification applications . Required Skills & Qualifications: 2+ years of experience in Computer Vision, Image Recognition, and Machine Learning . Proficiency in Python , including libraries such as NumPy, OpenCV, and scikit-image . Strong expertise with TensorFlow, PyTorch, or Keras for deep learning model development. Experience working on product identification projects or similar AI-driven applications. Hands-on experience with fine-tuning deep learning models for optimized performance. Understanding of REST and GraphQL APIs for backend AI model integration. Knowledge of database management (SQL & NoSQL) for dataset processing. Familiarity with cloud platforms (AWS, Azure, Google Cloud) for model deployment. Expertise in Docker & Kubernetes for scalable AI systems. Strong grasp of Git, CI/CD pipelines , and software development best practices . Why Join Us: Be a part of a pioneering team at the forefront of marketplace innovation. Work in a collaborative and dynamic environment with opportunities for growth. Contribute to a product that will have a significant impact on the industry.

JOB SUMMARY This position leads and advocates various data science teams on best practices around the development and implementation of advance analytic systems and predictive and prescriptive models. This position works with a team of data scientists, data analysts, data engineers, machine learning engineers, business and data domain owners, application developers, and architects in the creation and delivery of insights from large and disparate data to empower confidence in business decisions. This position leads the evaluation and adoption of emerging technologies that support the use of statistical modeling, machine learning, distributed computing, and run time performance tuning with the goal of deploying optimal processes and introducing new products and services to the market. This position supports senior leadership by planning and championing the execution of broad advanced analytics initiatives aimed at delivering value to internal and external stakeholders. This position may manage people within the department. RESPONSIBILITIES Leads and oversees the data analysts, data scientist team, machine learning engineers, and big data specialists in the implementation of models and systems that provide optimal results as well as scale and evolve the solutions to meet future business needs. Acts as subject matter expert on UPS business processes, data, and advanced analytics capabilities to scope problems, data and model requirements, and proven predictive and prescriptive techniques. Maintains broad understanding of implementation, integration, and inter-connectivity issues with emerging technologies to define strategies that support the creation, development and delivery of analytic solutions that meet business needs. Develops and prototypes algorithms to ensure analytic results satisfy problem statements and business needs. Interprets and analyzes large scale datasets to discover insights to support the build of analytic systems and predictive models as well as experiment with new and emerging models and techniques. Identifies and evaluates emerging/cutting edge open source, data science/machine learning libraries, data platforms, and vendor solutions to support the conception, planning, and prioritization of data projects across the enterprise. Provides thought leadership, technical guidance, and counsel for data science project teams to evaluate strategic alternatives, determine impact, recommend courses of action, and design and implement solutions. Champions best practices for adoption of Cloud-AI technologies, opensource software, machine learning libraries/packages, and data science platforms to derive useful information and insights that empower business decisions. Communicates with business customers and senior leadership team with various levels of technical knowledge, educates them about our systems, and shares insights and recommendations that can inform business strategies. Manages analytics projects/teams and serves as a point of contact for teams when multiple units are assigned to the same project to ensure team actions remain in synergy while communicating with stakeholders to keep the project aligned with goals. QUALIFICATIONS Requirements: Ability to engage key business and executive-level stakeholders to translate business problems to high level analytics solution approach. Multiple years of experience working with large-scale, complex datasets to create machine learning, predictive, forecasting, and/or optimization models. Demonstrable track record of dealing well with ambiguity, prioritizing needs, and delivering results in a dynamic environment Expertise in data management pipelines involving data extraction, analysis and transformation using either data querying languages (e.g. SQL, NoSQL, BQ), or scripting languages (e.g. Python, R) and/or statistical/mathematical software (e.g. R, Matlab, SAS) Hands-on experience in launching moderate to large scale advanced analytics projects in production at scale; adapts available Cloud-AI technologies and machine learning frameworks with or without the use of enterprise data science platforms. Proven ability to convey rigorous technical concepts and considerations to non-experts, and strong analytical skills, attention to detail. Direct experience in developing analytical solutions that empowers business decisions and product creation using various set of techniques (e.g. Supervised, Unsupervised, Deep Learning, NLP) Excellent verbal and written communication skills with the ability to communicate data through a story framework and convey data-driven results to technical and non-technical audiences, and effectively advocate technical solutions to research scientists, engineering teams as well as business audiences. Masters Degree in a quantitative field of mathematics, computer science, physics, economics, engineering, statistics (operations research, quantitative social science, etc.), international equivalent, or equivalent job experience.

Job Summary: We are seeking a highly skilled MLOps Engineer to design, deploy, and manage machine learning pipelines in Google Cloud Platform (GCP). In this role, you will be responsible for automating ML workflows, optimizing model deployment, ensuring model reliability, and implementing CI/CD pipelines for ML systems. You will work with Vertex AI, Kubernetes (GKE), BigQuery, and Terraform to build scalable and cost-efficient ML infrastructure. The ideal candidate must have a good understanding of ML algorithms, experience in model monitoring, performance optimization, Looker dashboards and infrastructure as code (IaC), ensuring ML models are production-ready, reliable, and continuously improving. You will be interacting with multiple technical teams, including architects and business stakeholders to develop state of the art machine learning systems that create value for the business. Responsibilities: Managing the deployment and maintenance of machine learning models in production environments and ensuring seamless integration with existing systems. Monitoring model performance using metrics such as accuracy, precision, recall, and F1 score, and addressing issues like performance degradation, drift, or bias. Troubleshoot and resolve problems, maintain documentation, and manage model versions for audit and rollback. Analyzing monitoring data to preemptively identify potential issues and providing regular performance reports to stakeholders. Optimization of the queries and pipelines. Modernization of the applications whenever required Qualifications: Expertise in programming languages like Python, SQL Solid understanding of best MLOps practices and concepts for deploying enterprise level ML systems. Understanding of Machine Learning concepts, models and algorithms including traditional regression, clustering models and neural networks (including deep learning, transformers, etc.) Understanding of model evaluation metrics, model monitoring tools and practices. Experienced with GCP tools like BigQueryML, MLOPS, Vertex AI Pipelines (Kubeflow Pipelines on GCP), Model Versioning & Registry, Cloud Monitoring, Kubernetes, etc. Solid oral and written communication skills and ability to prepare detailed technical documentation of new and existing applications. Strong ownership and collaborative qualities in their domain. Takes initiative to identify and drive opportunities for improvement and process streamlining. Bachelors Degree in a quantitative field of mathematics, computer science, physics, economics, engineering, statistics (operations research, quantitative social science, etc.), international equivalent, or equivalent job experience. Bonus Qualifications: Experience in Azure MLOPS, Familiarity with Cloud Billing. Experience in setting up or supporting NLP, Gen AI, LLM applications with MLOps features. Experience working in an Agile environment, understanding of Lean Agile principles.

We are seeking a skilled and motivated Python Developer with 4–9 years of hands-on experience in designing, developing, and deploying robust backend solutions. The ideal candidate will have a strong foundation in Python, a passion for clean code. Required Candidate profile AI Capabilities - NLPs & RAG - Fine-Tuning: PEFT - Transformers & Vectorization: Hugging Face, TF-IDF, Embeddings, Qdrant, Pinecode - LLMs: OpenAI, Claude - Interactive AI Apps: Streamlit, FastAPI

An AI Data Scientist at IBM is not just a job title - its a mindset. Youll leverage the watsonx,AWS Sagemaker,Azure Open AI platform to co-create AI value with clients, focusing on technology patterns to enhance repeatability and delight clients. We are seeking an experienced and innovative AI Data Scientist to be specialized in foundation models and large language models. In this role, you will be responsible for architecting and delivering AI solutions using cutting-edge technologies, with a strong focus on foundation models and large language models. You will work closely with customers, product managers, and development teams to understand business requirements and design custom AI solutions that address complex challenges. Experience with tools like Github Copilot, Amazon Code Whisperer etc. is desirable. Success is our passion, and your accomplishments will reflect this, driving your career forward, propelling your team to success, and helping our clients to thrive. Day-to-Day Duties: Proof of Concept (POC) Development: Develop POCs to validate and showcase the feasibility and effectiveness of the proposed AI solutions. Collaborate with development teams to implement and iterate on POCs, ensuring alignment with customer requirements and expectations. Help in showcasing the ability of Gen AI code assistant to refactor/rewrite and document code from one language to another, particularly COBOL to JAVA through rapid prototypes/ PoC Documentation and Knowledge Sharing: Document solution architectures, design decisions, implementation details, and lessons learned. Create technical documentation, white papers, and best practice guides. Contribute to internal knowledge sharing initiatives and mentor new team members. Industry Trends and Innovation: Stay up to date with the latest trends and advancements in AI, foundation models, and large language models. Evaluate emerging technologies, tools, and frameworks to assess their potential impact on solution design and implementation Required education Bachelor's Degree Preferred education Master's Degree Required technical and professional expertise Strong programming skills, with proficiency in Python and experience with AI frameworks such as TensorFlow, PyTorch, Keras or Hugging Face. Understanding in the usage of libraries such as SciKit Learn, Pandas, Matplotlib, etc. Familiarity with cloud platforms (e.g. Kubernetes, AWS, Azure, GCP) and related services is a plus. Experience and working knowledge in COBOL & JAVA would be preferred Having experience in Code generation, code matching & code translation leveraging LLM capabilities would be a Big plus (e.g. Amazon Code Whisperer, Github Copilot etc.) * Soft Skills: Excellent interpersonal and communication skills. Engage with stakeholders for analysis and implementation. Commitment to continuous learning and staying updated with advancements in the field of AI. Growth mindset: Demonstrate a growth mindset to understand clients' business processes and challenges. Experience in python and pyspark will be added advantage Preferred technical and professional experience Experience: Proven experience in designing and delivering AI solutions, with a focus on foundation models, large language models, exposure to open source, or similar technologies. Experience in natural language processing (NLP) and text analytics is highly desirable. Understanding of machine learning and deep learning algorithms. Strong track record in scientific publications or open-source communities Experience in full AI project lifecycle, from research and prototyping to deployment in production environments

Data Scientist (Cloud Management, SQL, Building cloud data pipelines, Python, Power BI, GCP) Job Summary UPS Marketing team is looking for a talented and driven Data Scientist to drive its strategic objectives in the areas of pricing, revenue management, market analysis and evidence/data-based decision making. This role will work across multiple channels and teams to drive tangible results in the organization. You will focus on developing metrics for multiple channels and markets, applying advanced statistical modeling where appropriate and pioneering new analytical methods in a variety of fast paced and rapidly evolving consumer channels. This high visibility position will work with multiple levels of the organization, including senior leadership to bring analytical capabilities to the forefront of pricing, rate setting, and optimization of our go-to-market offers. You will contribute to rapidly evolving UPS Marketing analytical capabilities by working amongst a collaborative team of Data Scientists, Analysts and multiple business stakeholders. Responsibilities: Become a subject matter expert on UPS business processes, data and analytical capabilities to help define and solve business needs using data and advanced statistical methods Analyze and extract insights from large-scale structured and unstructured data utilizing multiple platforms and tools. Understand and apply appropriate methods for cleaning and transforming data Work across multiple stake holders to develop, maintain and improve models in production Take the initiative to create and execute analyses in a proactive manner Deliver complex analytical and visualizations to broader audiences including upper management and executives Deliver analytics and insights to support strategic decision making Understand the application of AI/ML when appropriate to solve complex business problems Qualifications Expertise in R, SQL, Python. Strong analytical skills and attention to detail. Able to engage key business and executive-level stakeholders to translate business problems to high level analytics solution approach. Expertise with statistical techniques, machine learning or operations research and their application in business applications. Deep understanding of data management pipelines and experience in launching moderate scale advanced analytics projects in production at scale. Proficient in Azure, Google Cloud environment Experience implementing open-source technologies and cloud services; with or without the use of enterprise data science platforms. Solid oral and written communication skills, especially around analytical concepts and methods. Ability to communicate data through a story framework to convey data-driven results to technical and non-technical audience. Masters Degree in a quantitative field of mathematics, computer science, physics, economics, engineering, statistics (operations research, quantitative social science, etc.), international equivalent, or equivalent job experience. Bonus Qualifications Experience with pricing methodologies and revenue management Experience using PySpark, Azure Databricks, Google BigQuery and Vertex AI Creating and implementing NLP/LLM projects Experience utilizing and applying neurals networks and other AI methodologies Familiarity with Data architecture and engineering

Job Summary: We are seeking a highly skilled Functional AI Engineer to join our team and lead the development of custom knowledge-based AI models and large language model (LLM) implementations. The ideal candidate will have a strong background in artificial intelligence, machine learning, and natural language processing, with a focus on building innovative AI solutions that leverage knowledge-based systems and generative AI use cases. Key Responsibilities: - Design, develop, and implement knowledge-based AI models and LLMs to solve complex business problems. - Collaborate with cross-functional teams to identify opportunities for AI-driven solutions and develop custom use cases. - Conduct research and stay updated on the latest advancements in AI, machine learning, and NLP technologies. - Optimize and fine-tune AI models for performance, accuracy, and scalability. - Develop and maintain documentation for AI models, algorithms, and processes. - Ensure the ethical and responsible use of AI technologies in all implementations. - Provide technical guidance and mentorship to junior AI engineers and data scientists. - Work closely with stakeholders to understand business requirements and translate them into technical specifications. - Evaluate and integrate third-party AI tools and platforms as needed. - Monitor and analyze the performance of AI models, making necessary adjustments to improve outcomes. Qualifications: - Bachelor's or masters degree in computer science, Artificial Intelligence, Machine Learning, or a related field. - Proven experience in developing and implementing knowledge-based AI models and LLMs. - Strong programming skills in Python, TensorFlow, PyTorch, or similar AI frameworks. - Experience with natural language processing (NLP) and understanding of language models. - Familiarity with data management, data mining, and data visualization techniques. - Excellent problem-solving skills and ability to work independently and collaboratively. - Strong communication skills to effectively convey complex technical concepts to non-technical stakeholders. - Experience in the paints industry or similar sectors is a plus. Looking for immediate joiners 0-60 Days priority. Interested candidates can send their resume dhanashree.chitre@weareams.com

Develop Deep Learning models, focusing on NLP, Large Language Models (LLMs), and Generative AI. Expertise in NLP techniques (e.g., text classification, sentiment analysis, text generation).

We are also actively exploring other applications of Machine Learning in some of our newer products, with the ultimate goal of improving the user experience.Machine Learning sits at the intersection of a number of different disciplines: Computer Science, Statistics, Operations Research, Data Science, and others. At Branch, we fundamentally believe that in order for Machine Learning to be impactful, it needs to be closely embedded into the rest of the product development and software engineering process, which is why we emphasize the importance of software engineering skills and experience for this role.As a company, we are passionate about our customers, fearless in the face of barriers, and driven by data. As an engineering team, we value bottom-up innovation and decentralized decision-making. We believe the best ideas can come from anyone in the company, and we are working hard to create an environment where everyone feels empowered to propose solutions to the challenges we face. We are looking for individuals who thrive in a fast-moving, innovative, and customer-focused setting. ResponsibilitiesCredit Decisions: Core to our business is understanding and building signals from unstructured and structured data to identify good borrowers.Customer Service: Using machine learning and LLM/NLP, automate customer service interactions and provide context to our customer service team.Fraud Prevention: Identify patterns of fraudulent behavior and build models to detect and prevent these behaviors.Team work: Bring your experience to bear on the technical direction and abilities of the team, and work cross-functionally with policy and product teams as we improve processes and break new ground. Qualifications2+ years of hands-on experience building software in a production environment. Startup or early-stage team experience is preferred.Excellent software engineering and programming skills, especially Python and SQL.A diverse range of data skills, including experimentation, statistics, and machine learning, and have used these skills to inform business decisions.A deep understanding of using cloud computing infrastructure and data pipelines in production.Self motivation: You teach yourself new skills. You take the initiative to solve problems before they arise. You roll up your sleeves and get stuff done.Team motivation: You listen to others, speak your mind, and ask the right questions. You are a great collaborator and teacher.The drive to make a positive impact on customers' lives.

Role Responsibilities Design and develop GenAI applications utilizing Python. Implement front-end solutions using Angular or React frameworks. Apply NLP techniques to enhance application functionalities. Optimize machine learning models for performance and scalability. Establish MLOps practices to streamline model deployment. Create and integrate APIs for seamless functionality between applications. Collaborate with cross-functional teams to define project requirements. Conduct code reviews to ensure adherence to best practices. Debug and troubleshoot applications to enhance user experience. Stay updated with industry trends and advancements in GenAI. Document project specifications and technological processes. Participate in regular team meetings to align on goals and challenges. Assist in training team members on GenAI technologies. Maintain version control for project codes and documentation. Provide technical support during product launches. Qualifications Bachelor's or Master's degree in Computer Science or related field. Proven experience in GenAI development. Strong proficiency in Python programming language. Experience with front-end frameworks such as Angular and React. Hands-on expertise in Natural Language Processing (NLP). Familiarity with machine learning algorithms and models. Understanding of MLOps tools and practices. Experience in API development and integration. Strong analytical and problem-solving skills. Excellent communication and collaboration abilities. Ability to work independently as well as in a team environment. Attention to detail with a focus on quality outcomes. Familiarity with database systems and management. Experience with version control systems like Git. Knowledge of agile methodologies is a plus.

Responsibilities : Manipulate and preprocess structured and unstructured data to prepare datasets for analysis and model training. Utilize Python libraries like PyTorch, Pandas, and NumPy for data analysis, model development, and implementation. Fine-tune large language models (LLMs) to meet specific use cases and enterprise requirements. Collaborate with cross-functional teams to experiment with AI/ML models and iterate quickly on prototypes. Optimize workflows to ensure fast experimentation and deployment of models to production environments. Implement containerization and basic Docker workflows to streamline deployment processes. Write clean, efficient, and production-ready Python code for scalable AI solutions. Good to Have: Exposure to cloud platforms like AWS, Azure, or GCP. Knowledge of MLOps principles and tools. Basic understanding of enterprise Knowledge Management Systems. Ability to work against tight deadlines. Ability to work on unstructured projects independently. Strong initiative and self-motivated Strong Communication & Collaboration acumen. Required Skills: Proficiency in Python with strong skills in libraries like PyTorch, Pandas, and NumPy. Experience in handling both structured and unstructured datasets. Familiarity with fine-tuning LLMs and understanding of modern NLP techniques. Basics of Docker and containerization principles. Demonstrated ability to experiment, iterate, and deploy code rapidly in a production setting. Strong problem-solving mindset with attention to detail. Ability to learn and adapt quickly in a fast-paced, dynamic environment.

We are looking for talented Machine Learning Engineers to join us and be part of this journey. You will work closely with other Engineers, Product Managers, and underwriters to develop, improve, and deploy machine learning models and to solve other optimization problems. We make extensive use of machine learning in our credit product, where it is used (among other things) for underwriting and loan servicing decisions. We are also actively exploring other applications of Machine Learning in some of our newer products, with the ultimate goal of improving the user experience.Machine Learning sits at the intersection of a number of different disciplines: Computer Science, Statistics, Operations Research, Data Science, and others. At Branch, we fundamentally believe that in order for Machine Learning to be impactful, it needs to be closely embedded into the rest of the product development and software engineering process, which is why we emphasize the importance of software engineering skills and experience for this role.As a company, we are passionate about our customers, fearless in the face of barriers, and driven by data. As an engineering team, we value bottom-up innovation and decentralized decision-making. We believe the best ideas can come from anyone in the company, and we are working hard to create an environment where everyone feels empowered to propose solutions to the challenges we face. We are looking for individuals who thrive in a fast-moving, innovative, and customer-focused setting. Responsibilities Credit Decisions: Core to our business is understanding and building signals from unstructured and structured data to identify good borrowers.Customer Service: Using machine learning and LLM/NLP, automate customer service interactions and provide context to our customer service team. Fraud Prevention: Identify patterns of fraudulent behavior and build models to detect and prevent these behaviors.Team work: Bring your experience to bear on the technical direction and abilities of the team, and work cross-functionally with policy and product teams as we improve processes and break new ground. Qualifications 2+ years of hands-on experience building software in a production environment. Startup or early-stage team experience is preferred. Excellent software engineering and programming skills, especially Python and SQL. A diverse range of data skills, including experimentation, statistics, and machine learning, and have used these skills to inform business decisions. A deep understanding of using cloud computing infrastructure and data pipelines in production. Self motivation: You teach yourself new skills. You take the initiative to solve problems before they arise. You roll up your sleeves and get stuff done.Team motivation: You listen to others, speak your mind, and ask the right questions. You are a great collaborator and teacher.The drive to make a positive impact on customers' lives.

What you will do In this vital role We are seeking a highly skilled and hands-on Senior Software Engineer Search to drive the development of intelligent, scalable search systems across our pharmaceutical organization. You'll work at the intersection of software engineering, AI, and life sciences to enable seamless access to structured and unstructured contentspanning research papers, clinical trial data, regulatory documents, and internal scientific knowledge. This is a high-impact role where your code directly accelerates innovation and decision-making in drug development and healthcare delivery Design, implement, and optimize search services using technologies such as Elasticsearch, OpenSearch, Solr, or vector search frameworks. Collaborate with data scientists and analysts to deliver data models and insights. Develop custom ranking algorithms, relevancy tuning, and semantic search capabilities tailored to scientific and medical content Support the development of intelligent search features like query understanding, question answering, summarization, and entity recognition Build and maintain robust, cloud-native APIs and backend services to support high-availability search infrastructure (e.g., AWS, GCP, Azure Implement CI/CD pipelines, observability, and monitoring for production-grade search systems Work closely with Product Owners, Tech Architect. Enable indexing of both structured (e.g., clinical trial metadata) and unstructured (e.g., PDFs, research papers) content Design & develop modern data management tools to curate our most important data sets, models and processes, while identifying areas for process automation and further efficiencies Expertise in programming languages such as Python, Java, React, typescript, or similar. Strong experience with data storage and processing technologies (e.g., Hadoop, Spark, Kafka, Airflow, SQL/NoSQL databases). Demonstrate strong initiative and ability to work with minimal supervision or direction Strong experience with cloud infrastructure (AWS, Azure, or GCP) and infrastructure as code like Terraform In-depth knowledge of relational and columnar SQL databases, including database design Expertise in data warehousing concepts (e.g. star schema, entitlement implementations, SQL v/s NoSQL modeling, milestoning, indexing, partitioning) Experience in REST and/or GraphQL Experience in creating Spark jobs for data transformation and aggregation Experience with distributed, multi-tiered systems, algorithms, and relational databases. Possesses strong rapid prototyping skills and can quickly translate concepts into working code Develop and execute unit tests, integration tests, and other testing strategies to ensure the quality of the software Analyze and understand the functional and technical requirements of applications Identify and resolve software bugs and performance issues Work closely with multi-functional teams, including product management, design, and QA, to deliver high-quality software on time Maintain detailed documentation of software designs, code, and development processes Basic Qualifications: Degree in computer science & engineering preferred with 6-8 years of software development experience Proficient in Databricks, Data engineering, Python, Search algorithms using NLP/AI models, GCP Cloud services, GraphQL Hands-on experience with search technologies (Elasticsearch, Solr, OpenSearch, or Lucene). Hands on experience with Full Stack software development. Proficient in programming languages, Java, Python, Fast Python, Databricks/RDS, Data engineering, S3Buckets, ETL, Hadoop, Spark, airflow, AWS Lambda Experience with data streaming frameworks (Apache Kafka, Flink). Experience with cloud platforms (AWS, Azure, Google Cloud) and related services (e.g., S3, Redshift, Big Query, Databricks) Hands on experience with various cloud services, understand pros and cons of various cloud services in well architected cloud design principles Working knowledge of open-source tools such as AWS lambda. Strong problem solving, analytical skills; Ability to learn quickly; Excellent communication and interpersonal skills Preferred Qualifications: Experience in Python, Java, React, Fast Python, Typescript, JavaScript, CSS HTML is desirable Experienced with API integration, serverless, microservices architecture. Experience in Data bricks, PySpark, Spark, SQL, ETL, Kafka Solid understanding of data governance, data security, and data quality best practices Experience with Unit Testing, Building and Debugging the Code Experienced with AWSAzure Platform, Building and deploying the code Experience in vector database for large language models, Databricks or RDS Experience with DevOps CICD build and deployment pipeline Experience in Agile software development methodologies Experience in End-to-End testing Experience in additional Modern Database terminologies. Good to Have Skills Willingness to work on AI Applications Experience in MLOps, React, JavaScript, Java, GCP Search Engines Experience with popular large language models Experience with LangChain or LlamaIndex framework for language models Experience with prompt engineering, model fine tuning Knowledge of NLP techniques for text analysis and sentiment analysis Soft Skills: Excellent analytical and troubleshooting skills. Strong verbal and written communication skills. Ability to work effectively with global teams. High degree of initiative and self-motivation. Team-oriented, with a focus on achieving team goals. Strong presentation and public speaking skills. We will ensure that individuals with disabilities are provided with reasonable accommodation to participate in the job application or interview process, to perform essential job functions, and to receive other benefits and privileges of employment. Please contact us to request accommodation.

Job Title: Assistant Manager Data Annotation Location: [Pune] Reports To: Manager Job Summary We are seeking a detail-oriented and experienced Assistant Manager Data Annotation to lead and oversee data labeling initiatives essential for training machine learning models. In this role, you will supervise data annotators, ensure high-quality data standards, and collaborate closely with data scientists to enhance annotation workflows and guidelines. Your leadership and analytical skills will contribute directly to the performance and accuracy of our AI systems. Key Responsibilities Supervise and manage a team of data annotators, ensuring timely and accurate completion of labeling tasks. Review and validate annotated datasets for consistency, accuracy, and compliance with project requirements. Collaborate with data scientists and machine learning engineers to refine annotation protocols and support model development. Identify and resolve data discrepancies or inconsistencies proactively. Develop and implement quality control processes for ongoing annotation projects. Generate regular reports on annotation progress, quality metrics, and team performance. Stay current with advancements in data annotation tools, methodologies, and machine learning best practices. Provide training and support to new team members and ensure adherence to established guidelines. Requirements Bachelor’s degree in Computer Science, Statistics, Mathematics, or a related field. Proven experience as a Data Annotator or in a similar role, with at least 2–3 years in a supervisory or lead position. Strong attention to detail and commitment to data quality. Excellent analytical and problem-solving skills. Sound understanding of machine learning concepts and data preparation workflows. Proficiency in data management and annotation tools (e.g., Labelbox, CVAT, VGG Image Annotator, etc.). Strong communication and team leadership skills. Preferred Qualifications Experience in managing annotation projects in computer vision, NLP, or other AI domains. Familiarity with scripting languages like Python for basic data handling or automation. Knowledge of Agile project management methodologies.

Job Title: Data Scientist Key Skills: Machine Learning, Data Science, SQL, Python, NLP, AI Artificial intelligence, Deep Learning. Roles and Responsibilities: Work with large-scale data sets to extract actionable insights and deliver impactful business solutions. Utilize advanced quantitative techniques, statistical modeling, and machine learning to support key initiatives across the organization. Contribute to the development of capabilities in Big Data, Machine Learning, Digital, and FinTech domains to address complex business challenges. Collaborate with cross-functional teams to identify analytical opportunities and build scalable solutions. Design and implement predictive models and algorithms to forecast trends and detect patterns. Leverage deep learning techniques and distributed machine learning systems where applicable. Deliver high-quality analysis and present findings to senior stakeholders in a clear and actionable manner. Continuously evaluate new data science tools, techniques, and technologies to ensure innovation and efficiency. Experience Requirement: 3-5 years of hands-on experience in data science, machine learning, and advanced analytics. Background in leading global academic institutions, corporate innovation labs, or consulting analytics roles preferred. Proven experience in applying large-scale machine learning and deep learning models. Strong expertise in at least three of the following areas: Python & PySpark Predictive Modeling using Machine Learning Time Series Forecasting Pattern Mining/Detection Deep Learning Algorithms Exposure to distributed computing frameworks and systems for machine learning. Education: Any Post Graduation, Any Graduation.

Very Urgent: AI Specialist / Gen AI Specialist with LLM Company: AurumData Solutions Experience: 7+years Location: Hyderabad Job Mode: Permanent Work Type: Work From Office Key Skills: AI/GenAI, LLM, RAG,NLP, Python, ML/DL, TensorFlow, PyTorch, Scikit-learn, cloud platforms (AWS, GCP, or Azure) AI Specialist Job Description: We are seeking an experienced AI Specialist to develop, implement, and optimize artificial intelligence (AI) and machine learning (ML) models. The ideal candidate will have a strong background in AI, deep learning, natural language processing (NLP), and data science. This role involves collaborating with cross-functional teams to integrate AI-driven solutions into business processes, enhancing efficiency, automation, and decision-making. Required Skills & Qualifications Bachelor's or Masters degree in Computer Science, AI, Machine Learning, Data Science, or a related field. 5+ years of experience in AI/ML development and deployment. Proficiency in programming languages such as Python, R, or Java. Hands-on experience with AI/ML frameworks (TensorFlow, PyTorch, Scikit-learn, etc.). Strong understanding of deep learning architectures (CNNs, RNNs, Transformers, GANs). Experience with NLP, speech recognition, or computer vision. Knowledge of cloud-based AI services (AWS SageMaker, GCP AI, Azure ML). Familiarity with big data technologies (Hadoop, Spark, Kafka) is a plus. Strong problem-solving skills and the ability to work in a collaborative environment. Excellent communication skills to convey AI concepts to non-technical stakeholders. Design, develop, and deploy AI/ML models to solve complex business problems . Implement machine learning algorithms, including supervised and unsupervised learning, deep learning, and reinforcement learning. Work with large datasets to extract insights and build predictive models. Develop AI-powered applications, including chatbots, recommendation systems, and computer vision solutions. Collaborate with data scientists, engineers, and business analysts to align AI solutions with business needs. Optimize AI models for performance, scalability, and accuracy. Conduct research on emerging AI technologies and recommend their adoption. Ensure AI solutions comply with ethical AI principles, privacy regulations, and security guidelines. Use cloud platforms (AWS, GCP, or Azure) to deploy and manage AI models. Continuously monitor and improve AI models based on real-world feedback and data. Preferred Qualifications AI certifications (Google Professional ML Engineer, AWS Certified ML Specialist, etc.). Experience in AI-driven automation and decision intelligence. Knowledge of edge AI and federated learning techniques. If you are interested, kindly send your updated profiles to Balaram@aurumdatasolutions.com Regards, Balaram K Mobile No: +91- 9000749410 / 9848771366 Email: Balaram@aurumdatasolutions.com

Join Team Amex and let's lead the way together. How will you make an impact in this role? The Global Compliance & Ethics (GC&E) organization establishes the framework for American Express global compliance risk management program commensurate with the size, complexity and risk profile of the entity. As an independent risk management function, GC&E is responsible for overseeing the organization’s compliance with regulatory expectations through a combination of monitoring and testing activities. The Director of Data Analytics and Reporting is a new role that will be responsible for building and overseeing an analytics program designed to identify themes and trends across issues and complaint data with the purpose of driving compliance monitoring activities. Further, this role will assist the GC&E organization in independently gathering and evaluating pertinent data for use in its ongoing administration of its oversight duties. This role is essential in assisting GC&E in evolving the compliance risk management program to ensure the organization adheres to all relevant laws, regulations, and internal policies. The ideal candidate will be self-driven, have expertise in both building and managing analytic design and optimization efforts, ability to coordinate across cross matrixed environments, and is proficient in generating senior-leader ready reporting. Key Responsibilities: Collect, analyze, and interpret complex data from various sources to provide actionable insights. Develop reoccurring reporting that equips GC&E with the data needed to more effectively oversee the compliance framework. Partner with the broader GC&E to define the standards and deliverables to evidence a robust regulatory monitoring program. Drive awareness of regulatory monitoring requirements across the organization, ensuring alignment and accountability. Create reports, dashboards, and visualizations to distill large datasets into clear, concise, and meaningful information for leadership. Present data findings in a compelling way that tells a clear story, helping leadership understand trends, opportunities, and areas for improvement. Foster collaboration by engaging with stakeholders at all levels, understanding their needs, and tailoring data solutions to meet those requirements. Lead and develop a high-performing Regulatory Compliance team, fostering a culture of compliance excellence and continuous improvement. Governance: Designs, oversees, or substantively participates in risk governance structures, supporting clear accountability and decision-making frameworks that align with organizational objectives and regulatory requirements. Change risk management: Assesses, manages, or monitors risks arising from organizational, regulatory or environmental changes, so transitions do not expose the organization to new or unintended risks or lead to non-compliance with laws, regulatory requirements and supervisory expectations. Documentation: Develops and maintains practices and reporting to enable accurate and thorough records of risk management activities, supporting accountability and traceability throughout the risk management process. Risk communication and reporting: Communicates risk data, trends and analysis through structured reports, so key stakeholders, including the board of directors and senior leadership, receive timely, aggregate, accurate, complete and relevant information. Compliance regulatory reporting: Aggregates Compliance risk exposures across products, sectors or regions, and report to regulators in line with regulatory reporting requirements (e.g., SR 08-8, Heightened Standards, FRB LFI, CFPB, UK SMR, UK FCA). Qualifications: Bachelor’s degree required in Analytics, Computer Science, Statistics or related field; JD or Master’s degree preferred. Minimum of 10 years of experience in data analytics. Professional analytics certification preferred (Coursera, Exam DA-100, CAP) Excellent analytical, communication, and presentation skills with the ability to convey analytic results clearly and concisely to senior leadership. Strategic thinking and a being able to act independently in driving day to day operations. Proven track record of managing programs and improving processes within a regulated environment. Ability to manage multiple projects simultaneously and prioritize tasks effectively. Excellent interpersonal skills to influence and collaborate with stakeholders at all levels. Familiarity with regulatory requirements issued by CFPB, Federal Reserve, FDIC and OCC. Compliance Language We back our colleagues and their loved ones with benefits and programs that support their holistic well-being. That means we prioritize their physical, financial, and mental health through each stage of life. Benefits include: Competitive base salaries Bonus incentives Support for financial-well-being and retirement Comprehensive medical, dental, vision, life insurance, and disability benefits (depending on location) Flexible working model with hybrid, onsite or virtual arrangements depending on role and business need Generous paid parental leave policies (depending on your location) Free access to global on-site wellness centers staffed with nurses and doctors (depending on location) Free and confidential counseling support through our Healthy Minds program Career development and training opportunities American Express is an equal opportunity employer and makes employment decisions without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, veteran status, disability status, age, or any other status protected by law. Offer of employment with American Express is conditioned upon the successful completion of a background verification check, subject to applicable laws and regulations.

The Job: We are Seeking to identify a Data Scientist AI ML responsible to work on the company's maintenance use cases. This will include collaboration with aircraft engineers to plan installation of new aircraft sensors and avionics, enhancements to existing aircraft monitoring software, deployment of new predictive models, collaboration with OEMs, integration of health monitoring into United's approved maintenance programs, and technology to provide aircraft data directly to technicians. Liaison with Stakeholders in the Aircraft Health Monitoring team, Aircraft Engineering and other Data Scientists to understand the importance of several Predictive Mx use case, their executive feasibility and do a cost benefit analysis to identify the highest impact use cases that need to be prioritized Work on complex Sensor data coming out of AC systems like ACARS and QAR and be able to parse out relevant information Analyze the AC Maintenance and Operations data that to identify issues with critical A/C systems Build, Test, Deploy and Monitor complex Machine learning algorithms that predict AC failures Maintain and enhance existing model deployments to make sure they stay valuable and relevant Mentor junior members of the team and stay up to date with ML advances Your Profile: An ideal candidate will hold a bachelor's degree in a quantitative field in quantitative field like Math, Statistics, Operations Research, Computer Science, Engineering, Physics, or related fields with at least 4+ years of experience in Data Science/Machine Learning/advanced analytics/optimization. Deep understanding of data structures, relationships, and efficient transformations Familiarity with all parts of the data ecosystem -- acquisition, engineering, storage, management, analysis, visualization, and model deployment and monitoring Strong Knowledge of database querying and being able to write complex queries to extract data Fluent skill in python/pyspark Strong knowledge of Statistical Modelling, feature engineering, testing Ability to propose novel modelling approaches based on the problem being solved Must be legally authorized to work in India for any employer without sponsorship Must be fluent in English (written and spoken) Successful completion of interview required to meet job qualification Reliable, punctual attendance is an essential function of the position

We, at Cogito, are looking for someone with a zeal and flair to curate knowledge pieces and writings on how Artificial Intelligence, Machine Learning & NLP have taken automation & efficiencies in various industries by storm and how these ever shape-shifting technologies are surprising humans themselves everyday. Cogito Technologies, having a strong presence in USA and its delivery center in Delhi NCR, India, specializes in Human Empowered Automation. Our mission is to help our customers innovate and scale by solving their day-to-day data needs. Using our skilled on-demand workforce, we partner with Machine Learning, Artificial Intelligence, Technology and ecommerce clients to develop high-quality data sets used to build and enhance various cutting-edge business applications. Cogito is currently working on Artificial Intelligence applications in Annotation work and is looking to engage with "Content Manager" to participate in ongoing projects. The Role Being Content manager you will be working closely with a team to read, write, summarize knowledge, and interpret meaning. Think of it like being a language arts teacher or a personal tutor for some of the world's most influential technology. Assist with development of Large Language Models Assist with development of Generative AI applications Evaluate and Grade responses of LLM models Content Summarization Model evaluation Model alignment Efficient inference Classification and categorization Sentiment analysis Multimodal model question-answering systems Skills Set: Fluent to native English writing and reading skills required University to Masters degree 8-15 years of extensive experience working as Content Writer Ability to answer free-form prompts (questions) across a general scope of topics Ability to reference online resources and rephrase and write cohesive, accurate, responsive, and sometimes empathetic answers to the prompts in the perspective of an AI model Proven track record working on other projects requiring free form sentence creation Ability to answer specialized domain free-form prompts at university-level difficulty Ability to provide cohesive explanations to their prompt responses (E.g., explaining the process of solving a given math question, listing out the detailed process for a software question, etc.) Extra Added advantage if you have: Up-to-date knowledge on US culture and news. Knowledge of various NLP tasks and algorithms, such as sentiment analysis, named entity recognition, text classification, machine translation, and language generation. The Person This is a technology job that accommodates humanities people and relies more fully on your competencies than your formal experience making it a rare opportunity that's perfect for new grads, career transitioners, and those seeking an exciting encore career in AI. You're the sort of person who is exceptional at generating copy intuitively. You've also got the metacognitive awareness to "show your work." In addition, you're the sort of person with a deep interest in linguistics. You instinctively document learnings and continuously refine methods. You are a(n): Dedicated Grammarian Natural Writer Diligent Reader Self-Aware Interpreter Synthetic Sense-Maker Perpetual Learner Instinctive Educator Proven experience required Core Content Writing Background with own website/blogs/written piece of articles etc. Work in a cordial and cooperative manner with Marketing, SEO & Operations teams Most importantly, technical bent of mind with keen interest in new technologies and their applications The ability to think and act like a stakeholder is a plus Non-technical Strong sense of responsibility in quality and idea generation Can work well with others and open for giving/taking suggestions Strong written and verbal communication skills Strong motivation to learn and go in-depth into field of study Job requirements Fluent in English to be able to follow instructions and guidelines Detail-oriented with the ability to understand and follow instructions Ability to meet deadlines Responsible, reliable, and communicative Urgent Requirement.. Only F2F interviews Address: (HR Round) C-40, Sector 59, Noida (Red Building Rsystem) Final Interview (Manager+ COO) A-83, sector 2, Noida --- Regards, Team HR Cogito-Noida

. Exposure in handling Python, Java and R,Keras or PyTorch,AI tools,Asp,vb,ado,mvc,sql,css platforms, and libraries to support project requirements. . Knowledge of statistics and experience using statistical packages for analyzing datasets (Excel, SPSS, SAS etc.). . As a Data Eng, responsibilities will include web scrapping, manage distributed data processing, and develop robust data pipelines. . As an ML Eng, responsibilities will include training,monitoring,and evaluating state -of-the-art speech models.Data Science & Machine Learning: Pandas, NumPy, Scikit-learn, TensorFlow, Keras, OpenCV, NLTK, Matplotlib Jupyter Notebook, Anaconda, Power BI, Tableau, Apache Spark (Intro) AI & Emerging Technologies: Computer Vision, NLP, Chatbot Development, Recommendation Systems OpenAI, Hugging Face Transformers, Google Vision API.

Summary: As an AI/ML Engineer, you will be developing applications and systems that utilize AI tools, Cloud AI services, with proper cloud or on-prem application pipeline with production ready quality. You will apply GenAI models as part of the solution, including deep learning, neural networks, chatbots, and image processing. Professional & Technical Skills: - Must To Have Skills: Proficiency in Natural Language Processing (NLP). - Strong understanding of statistical analysis and machine learning algorithms. For NLP-Must have- NLP, Gen AI, ML, AI & DS-5+ yrs exp.

Key Responsibilities : We are seeking a highly skilled and motivated AI Engineer to join our team. In this role, you will leverage your expertise in AI technologies and the Microsoft ecosystem to design, build, and deploy intelligent agents and automation solutions that enhance business processes and deliver value to our clients. Candidates must have extensive experience in the Microsoft environment. You will collaborate with cross-functional teams to create innovative solutions using Microsoft tools and platforms. Responsibilities : Agent Development : - Design, implement, and optimize AI agents using Microsoft Azure Framework and related technologies. - Develop custom AI solutions leveraging Power Automate, Azure OpenAI, and other Microsoft tools. Solution Integration : - Deploy AI solutions within client environments, ensuring scalability and seamless integration with existing systems. - Work with stakeholders to identify automation opportunities and tailor solutions to business needs. AI Algorithm and Model Implementation : - Design and implement machine learning algorithms, focusing on natural language processing (NLP) and conversational AI. - Perform data preprocessing, feature engineering, and model training to create high-performing solutions. Collaboration and Support : - Collaborate with cross-functional teams, including software engineers, data scientists, and product managers, to deliver integrated solutions. - Provide technical guidance and support to ensure the successful adoption and use of AI-driven tools. Continuous Improvement : - Stay updated on advancements in AI, machine learning, and Microsofts AI technologies. - Contribute to knowledge sharing by conducting training sessions and documenting best practices. Preferred Skills : - Strong knowledge of Azure OpenAI, Azure AI Search Index and open source libraries such as LangChain and LlamaIndex. - Proficiency in Python and its AI/ML libraries (e.g., TensorFlow, PyTorch, scikit-learn). - Familiarity with building and managing cloud-based solutions, preferably on Microsoft Azure. - Understanding of conversational AI technologies and chatbot frameworks. - Experience with data analysis tools and techniques to uncover insights and optimize models. Requirements : - Bachelors or Masters degree in Computer Science, Data Science, or a related field. - Proven experience in developing and deploying AI/ML models in real-world applications. - Strong programming skills, especially in Python, and familiarity with version control systems like Git. - Extensive experience in the Microsoft environment and related technologies.