89 Spacy Jobs - Page 3

Dear Candidate, We are hiring a Robotics Engineer to develop intelligent robotic systems for automation and industrial applications. The role requires expertise in robotics programming, sensor integration, and AI-driven automation. Key Responsibilities: Design and develop robotic systems using ROS, C++, and Python. Implement AI-based perception and motion planning algorithms. Integrate sensors, actuators, and embedded controllers. Optimize robotic navigation and real-time decision-making. Test and validate robotic applications in real-world environments. Required Skills & Qualifications: Robotics Frameworks: ROS, OpenCV, TensorFlow Programming: C++, Python, MATLAB Hardware Integration: LIDAR, IMU, Cameras, Actuators Control Systems: PID, Kalman Filters, Path Planning Experience with autonomous vehicles or robotic arms is a plus. Soft Skills: Strong troubleshooting and problem-solving skills. Ability to work independently and in a team. Excellent communication and documentation skills. Note: If interested, please share your updated resume and preferred time for a discussion. If shortlisted, our HR team will contact you. Kandi Srinivasa Delivery Manager Integra Technologies

Dear Candidate, We are hiring a Computer Vision Engineer to develop AI-driven solutions for image recognition, object detection, and video analysis. The role requires expertise in deep learning, computer vision algorithms, and real-time processing techniques. Key Responsibilities: Develop and optimize computer vision models using OpenCV, TensorFlow, and PyTorch. Implement object detection, segmentation, and facial recognition algorithms. Process and analyze large-scale image and video datasets. Optimize deep learning models for real-time inference on edge devices. Collaborate with AI and software teams to integrate vision solutions into applications. Required Skills & Qualifications: Computer Vision Frameworks: OpenCV, DLIB, MediaPipe Deep Learning: TensorFlow, PyTorch, Keras Algorithms: CNNs, YOLO, Faster R-CNN, Mask R-CNN Programming: Python, C++, CUDA Edge AI: TensorRT, OpenVINO, NVIDIA Jetson Experience with autonomous systems, OCR, and SLAM is a plus. Soft Skills: Strong troubleshooting and problem-solving skills. Ability to work independently and in a team. Excellent communication and documentation skills. Note: If interested, please share your updated resume and preferred time for a discussion. If shortlisted, our HR team will contact you. Kandi Srinivasa Reddy Delivery Manager Integra Technologies

Your Role Understand client business requirement and provide suitable approach to solve the business problem. Identify and address client needs in different domains. Processing, cleansing and verifying the integrity of data used for analysis. Data mining and performing EDAs using state-of-the-art methods. Selecting features, building and optimizing classifiers / regressors, etc. using machine learning & deep learning techniques. Help enhance data collection procedures to include information that is relevant for building analytical systems Doing ad-hoc analysis and presenting results in a clear manner. Follow and help improve with Analytics-Delivery procedures using detailed documentations. Your Profile Good problem solver with a skill of solving business problem with analytics and data as primary means. Experience in delivering data & analytics solution in one/two of the following areas preferably Excellent coding experience in common data science language & tools such as R, Python, Go, SAS, Matlab etc. Experience with common data science toolkits, such as NumPy, Pandas, StatModel, Scikit learn, SciPy, NLTK, Spacy, Gensim, OpenCV, MLFlow, Tensorflow, Pytorch etc. Hands on experience in using query languages such as SQL, NoSQL etc Excellent understanding and hand-on experience of data-science and machine learning techniques & algorithms for supervised and unsupervised problems (such as k-NN, Regression, Naive Bayes, SVM, Decision Tree, Random Forests, k-means, PCA, SVD, GenAI (LLM) etc.). Good applied statistics skills, such as distributions, statistical inference & testing, etc. Good knowledge/ Experience of cloud platform e.g. AWS, Azure, GCP etc. What youll love about working here We recognize the significance of flexible work arrangements to provide support. Be it remote work, or flexible work hours, you will get an environment to maintain healthy work life balance. At the heart of our mission is your career growth. Our array of career growth programs and diverse professions are crafted to support you in exploring a world of opportunities. Equip yourself with valuable certifications in the latest technologies such as Generative AI . About Capgemini Capgemini is a global business and technology transformation partner, helping organizations to accelerate their dual transition to a digital and sustainable world, while creating tangible impact for enterprises and society. It is a responsible and diverse group of 340,000 team members in more than 50 countries. With its strong over 55-year heritage, Capgemini is trusted by its clients to unlock the value of technology to address the entire breadth of their business needs. It delivers end-to-end services and solutions leveraging strengths from strategy and design to engineering, all fueled by its market leading capabilities in AI, cloud and data, combined with its deep industry expertise and partner ecosystem. The Group reported 2023 global revenues of 22.5 billion.

The Team: As a Senior Lead Machine Learning Engineer of the Document Platforms and AI Team, you will play a critical role in building the next generation of data extraction tools, working on cutting-edge ML-powered products and capabilities that power natural language understanding, information retrieval, and data sourcing solutions for the Enterprise Data Organization and our clients. This is an exciting opportunity to shape the future of data transformation and see your work make a real difference, all while having fun in a collaborative and engaging environment. You'll spearhead the development and deployment of production-ready AI products and pipelines, leading by example and mentoring a talented team. This role demands a deep understanding of machine learning principles, hands-on experience with relevant technologies, and the ability to inspire and guide others. You'll be at the forefront of a rapidly evolving field, learning and growing alongside some of the brightest minds in the industry. If you're passionate about AI, driven to make an impact, and thrive in a dynamic and supportive workplace, we encourage you to join us! The Impact: The Document Platforms and AI team has already delivered breakthrough products and significant business value over the last 3 years. In this role you will be developing our next generation of new products while enhancing existing ones aiming at solving high-impact business problems. Whats in it for you: Be a part of a global company and build solutions at enterprise scale Collaborate with a highly skilled and technically strong team Contribute to solving high complexity, high impact problems Responsibilities: Build production ready data acquisition and transformation pipelines from ideation to deployment. Being a hands-on problem solver and developer helping to extend and manage the data platforms. Apply best practices in data modeling and building ETL pipelines (streaming and batch) using cloud-native solutions Technical leadership: Drive the technical vision and architecture for the extraction project, making key decisions about model selection, infrastructure, and deployment strategies. Model development: Design, develop, and evaluate state-of-the-art machine learning models for information extraction, leveraging techniques from NLP, computer vision (if applicable), and other relevant domains. Data preprocessing and feature engineering: Develop robust pipelines for data cleaning, preprocessing, and feature engineering to prepare data for model training. Model training and evaluation: Train, tune, and evaluate machine learning models, ensuring high accuracy, efficiency, and scalability. Deployment and monitoring: Deploy and maintain machine learning models in a production environment, monitoring their performance and ensuring their reliability. Research and innovation: Stay up-to-date with the latest advancements in machine learning and NLP, and explore new techniques and technologies to improve the extraction process. Collaboration: Work closely with product managers, data scientists, and other engineers to understand project requirements and deliver effective solutions. Code quality and best practices: Ensure high code quality and adherence to best practices for software development. Communication: Effectively communicate technical concepts and project updates to both technical and non-technical audiences. What Were Looking For: 8-10 years of professional software work experience, with a strong focus on Machine Learning, Natural Language Processing (NLP) for information extraction and MLOps Expertise in Python and related NLP libraries (e.g., spaCy, NLTK, Transformers, Hugging Face) Experience with Apache Spark or other distributed computing frameworks for large-scale data processing. AWS/GCP Cloud expertise, particularly in deploying and scaling ML pipelines for NLP tasks. Solid understanding of the Machine Learning model lifecycle, including data preprocessing, feature engineering, model training, evaluation, deployment, and monitoring, specifically for information extraction models . Experience with CI/CD pipelines for ML models, including automated testing and deployment. Docker & Kubernetes experience for containerization and orchestration. OOP Design patterns, Test-Driven Development and Enterprise System design SQL (any variant, bonus if this is a big data variant) Linux OS (e.g. bash toolset and other utilities) Version control system experience with Git, GitHub, or Azure DevOps. Excellent Problem-solving, Code Review and Debugging skills Software craftsmanship, adherence to Agile principles and taking pride in writing good code Techniques to communicate change to non-technical people Nice to have Core Java 17+, preferably Java 21+, and associated toolchain Apache Avro Apache Kafka Other JVM based languages - e.g. Kotlin, Scala C# - in particular .NET Core

Project Role : AI / ML Engineer Project Role Description : Develops applications and systems that utilize AI tools, Cloud AI services, with proper cloud or on-prem application pipeline with production ready quality. Be able to apply GenAI models as part of the solution. Could also include but not limited to deep learning, neural networks, chatbots, image processing. Must have skills : Machine Learning Good to have skills : NA Minimum 3 year(s) of experience is required Educational Qualification : 15 years full time education Summary :These roles have many overlapping skills with GENAI Engineers and architects. Description may scaleup/scale down based on expected seniority. Roles & Responsibilities:-Implement generative AI models, identify insights that can be used to drive business decisions. Work closely with multi-functional teams to understand business problems, develop hypotheses, and test those hypotheses with data, collaborating with cross-functional teams to define AI project requirements and objectives, ensuring alignment with overall business goals.-Conducting research to stay up-to-date with the latest advancements in generative AI, machine learning, and deep learning techniques and identify opportunities to integrate them into our products and services.-Optimizing existing generative AI models for improved performance, scalability, and efficiency.-Ensure data quality and accuracy-Leading the design and development of prompt engineering strategies and techniques to optimize the performance and output of our GenAI models.-Implementing cutting-edge NLP techniques and prompt engineering methodologies to enhance the capabilities and efficiency of our GenAI models.-Determining the most effective prompt generation processes and approaches to drive innovation and excellence in the field of AI technology, collaborating with AI researchers and developers-Experience working with cloud based platforms (example:AWS, Azure or related)-Strong problem-solving and analytical skills-Proficiency in handling various data formats and sources through Omni Channel for Speech and voice applications, part of conversational AI-Prior statistical modelling experience-Demonstrable experience with deep learning algorithms and neural networks-Developing clear and concise documentation, including technical specifications, user guides, and presentations, to communicate complex AI concepts to both technical and non-technical stakeholders.-Contributing to the establishment of best practices and standards for generative AI development within the organization. Professional & Technical Skills:-Must have solid experience developing and implementing generative AI models, with a strong understanding of deep learning techniques such as GPT, VAE, and GANs.-Must be proficient in Python and have experience with machine learning libraries and frameworks such as TensorFlow, PyTorch, or Keras.-Must have strong knowledge of data structures, algorithms, and software engineering principles.-Must be familiar with cloud-based platforms and services, such as AWS, GCP, or Azure.-Need to have experience with natural language processing (NLP) techniques and tools, such as SpaCy, NLTK, or Hugging Face.-Must be familiar with data visualization tools and libraries, such as Matplotlib, Seaborn, or Plotly.-Need to have knowledge of software development methodologies, such as Agile or Scrum.-Possess excellent problem-solving skills, with the ability to think critically and creatively to develop innovative AI solutions. Additional Information:-Must have a degree in Computer Science, Artificial Intelligence, Machine Learning, or a related field. A Ph.D. is highly desirable.-strong communication skills, with the ability to effectively convey complex technical concepts to a diverse audience.-You possess a proactive mindset, with the ability to work independently and collaboratively in a fast-paced, dynamic environment. Qualifications 15 years full time education

Project Role : AI / ML Engineer Project Role Description : Develops applications and systems that utilize AI tools, Cloud AI services, with proper cloud or on-prem application pipeline with production ready quality. Be able to apply GenAI models as part of the solution. Could also include but not limited to deep learning, neural networks, chatbots, image processing. Must have skills : Machine Learning Good to have skills : NA Minimum 5 year(s) of experience is required Educational Qualification : 15 years full time education Summary :These roles have many overlapping skills with GENAI Engineers and architects. Description may scaleup/scale down based on expected seniority. Roles & Responsibilities:-Implement generative AI models, identify insights that can be used to drive business decisions. Work closely with multi-functional teams to understand business problems, develop hypotheses, and test those hypotheses with data, collaborating with cross-functional teams to define AI project requirements and objectives, ensuring alignment with overall business goals.-Conducting research to stay up-to-date with the latest advancements in generative AI, machine learning, and deep learning techniques and identify opportunities to integrate them into our products and services.-Optimizing existing generative AI models for improved performance, scalability, and efficiency.-Ensure data quality and accuracy-Leading the design and development of prompt engineering strategies and techniques to optimize the performance and output of our GenAI models.-Implementing cutting-edge NLP techniques and prompt engineering methodologies to enhance the capabilities and efficiency of our GenAI models.-Determining the most effective prompt generation processes and approaches to drive innovation and excellence in the field of AI technology, collaborating with AI researchers and developers-Experience working with cloud based platforms (example:AWS, Azure or related)-Strong problem-solving and analytical skills-Proficiency in handling various data formats and sources through Omni Channel for Speech and voice applications, part of conversational AI-Prior statistical modelling experience-Demonstrable experience with deep learning algorithms and neural networks-Developing clear and concise documentation, including technical specifications, user guides, and presentations, to communicate complex AI concepts to both technical and non-technical stakeholders.-Contributing to the establishment of best practices and standards for generative AI development within the organization. Professional & Technical Skills:-Must have solid experience developing and implementing generative AI models, with a strong understanding of deep learning techniques such as GPT, VAE, and GANs.-Must be proficient in Python and have experience with machine learning libraries and frameworks such as TensorFlow, PyTorch, or Keras.-Must have strong knowledge of data structures, algorithms, and software engineering principles.-Must be familiar with cloud-based platforms and services, such as AWS, GCP, or Azure.-Need to have experience with natural language processing (NLP) techniques and tools, such as SpaCy, NLTK, or Hugging Face.-Must be familiar with data visualization tools and libraries, such as Matplotlib, Seaborn, or Plotly.-Need to have knowledge of software development methodologies, such as Agile or Scrum.-Possess excellent problem-solving skills, with the ability to think critically and creatively to develop innovative AI solutions. Additional Information:-Must have a degree in Computer Science, Artificial Intelligence, Machine Learning, or a related field. A Ph.D. is highly desirable.-strong communication skills, with the ability to effectively convey complex technical concepts to a diverse audience.-You possess a proactive mindset, with the ability to work independently and collaboratively in a fast-paced, dynamic environment. Qualifications 15 years full time education

Project Role : AI / ML Engineer Project Role Description : Develops applications and systems that utilize AI tools, Cloud AI services, with proper cloud or on-prem application pipeline with production ready quality. Be able to apply GenAI models as part of the solution. Could also include but not limited to deep learning, neural networks, chatbots, image processing. Must have skills : Machine Learning Good to have skills : NA Minimum 3 year(s) of experience is required Educational Qualification : 15 years full time education Summary :These roles have many overlapping skills with GENAI Engineers and architects. Description may scaleup/scale down based on expected seniority. Roles & Responsibilities:-Implement generative AI models, identify insights that can be used to drive business decisions. Work closely with multi-functional teams to understand business problems, develop hypotheses, and test those hypotheses with data, collaborating with cross-functional teams to define AI project requirements and objectives, ensuring alignment with overall business goals.-Conducting research to stay up-to-date with the latest advancements in generative AI, machine learning, and deep learning techniques and identify opportunities to integrate them into our products and services.-Optimizing existing generative AI models for improved performance, scalability, and efficiency.-Ensure data quality and accuracy-Leading the design and development of prompt engineering strategies and techniques to optimize the performance and output of our GenAI models.-Implementing cutting-edge NLP techniques and prompt engineering methodologies to enhance the capabilities and efficiency of our GenAI models.-Determining the most effective prompt generation processes and approaches to drive innovation and excellence in the field of AI technology, collaborating with AI researchers and developers-Experience working with cloud based platforms (example:AWS, Azure or related)-Strong problem-solving and analytical skills-Proficiency in handling various data formats and sources through Omni Channel for Speech and voice applications, part of conversational AI-Prior statistical modelling experience-Demonstrable experience with deep learning algorithms and neural networks-Developing clear and concise documentation, including technical specifications, user guides, and presentations, to communicate complex AI concepts to both technical and non-technical stakeholders.-Contributing to the establishment of best practices and standards for generative AI development within the organization. Professional & Technical Skills:-Must have solid experience developing and implementing generative AI models, with a strong understanding of deep learning techniques such as GPT, VAE, and GANs.-Must be proficient in Python and have experience with machine learning libraries and frameworks such as TensorFlow, PyTorch, or Keras.-Must have strong knowledge of data structures, algorithms, and software engineering principles.-Must be familiar with cloud-based platforms and services, such as AWS, GCP, or Azure.-Need to have experience with natural language processing (NLP) techniques and tools, such as SpaCy, NLTK, or Hugging Face.-Must be familiar with data visualization tools and libraries, such as Matplotlib, Seaborn, or Plotly.-Need to have knowledge of software development methodologies, such as Agile or Scrum.-Possess excellent problem-solving skills, with the ability to think critically and creatively to develop innovative AI solutions. Additional Information:-Must have a degree in Computer Science, Artificial Intelligence, Machine Learning, or a related field. A Ph.D. is highly desirable.-strong communication skills, with the ability to effectively convey complex technical concepts to a diverse audience.-You possess a proactive mindset, with the ability to work independently and collaboratively in a fast-paced, dynamic environment. Qualifications 15 years full time education

About the Job: The Data Development, Insights & Strategy team is a highly focused effort to use the combination of our product fleet data, our business and sales data to provide strategic insight and act on the moments that matter' in near real time to both drive meaningful customer interactions, product evolution, modernize/drive our business systems and identifying opportunities to maximize our understanding and execution of product & business models which in turn maximize our ability to successfully capture our market opportunity. We are seeking a highly experienced Principal Data Scientist to lead our initiatives in natural language processing (NLP), machine learning, and data analytics. The ideal candidate will be passionate about creating and developing applications, particularly within the language sector, and have excellent analytical and machine learning knowledge. The focus of the role will be to transform natural language data and requests into creative and interactive features part of our finance & operations business. If you want to build Next generation AI/ML applications, if you have rock-solid development skills, if you thrive in a start-up like environment, if you think outside of the box and love working in a team with similar minded engineers, if you are creative and want to help solve real world customer problems and love presenting innovative solutions, if you believe in community and OpenSource development culture then we are the TEAM for you. In this role, you will be the voice of Red Hat's technical authority, creating and delivering features/ capabilities that helps Red Hat's data community and in turn our customers achieve their business and technical goals with Red Hat products effectively. You will work collaboratively with members of DDIS, finance, operations, sales, marketing, and product to construct fit for purpose analytical solutions that will be leveraged by business teams to drive proactive customer engagement. The successful candidate will have a track record of strong technical skills, drive to be innovative & creative, excellent communication and collaboration skills, a keen attention to detail, and a passion for quality and open source software. If you enjoy broadening your technical skills, and working in an environment that thrives on creativity, experimentation, and community innovation, then this is the job for you! What will you do? Lead the research and implementation of advanced algorithms and tools for NLP/GenAI tasks. Drive the development of next-generation AI/ML applications in a highly collaborative environment. Oversee the design, implementation, and delivery of AI solutions. Ensure the successful training and evaluation of NLP models, refining them based on statistical analysis. Collaborate with cross-functional teams, including finance, operations, sales, and marketing, to understand and meet business needs. What will you bring? 7+ years of professional experience in NLP, with a strong command of Python and frameworks such as Spacy and Hugging Face. Proven expertise in designing and delivering NLP applications across all stages of the data science lifecycle. Deep understanding of machine learning frameworks and experience in Generative AI application development. Working knowledge of TensorFlow, TensorFlow Serving, Keras, PyTorch. Comfortable working with a small team in a fast-paced, highly collaborative environment Experience with GenAI application development - LLMs, Embedding models, Vector Databases Keep up to date in the rapidly changing field of AI/ML by constantly researching and learning new techniques and information related to NLP. Bachelor's degree or above in Computer Science, Math, Computational Linguistics, or other related fields. Demonstrated experience as an NLP, or experience in a similar role/industry Experience developing highly scalable backend microservices in AWS Personal qualities and communication Communicate and influence for impact by bringing data to life via clear narratives and/or storytelling Communication skills and experience in interacting with cross functional business and engineering teams Capability in undertaking business needs analysis in direct consultation. Be a self-starter, displaying initiative in seeing needs, building functionality and leading insights for organizational change. Capability to develop a detailed understanding of our business requirements. Excellent communication, presentation, and writing skills

Dear Candidate, We are looking for an experienced Machine Learning Engineer to develop and deploy ML models for real-world applications. If you have expertise in Python, TensorFlow, and data science pipelines, wed love to hear from you! Key Responsibilities: Design, develop, and deploy machine learning models for predictive analytics. Work with large datasets to train and fine-tune models. Optimize model performance and scalability. Implement MLOps practices for model deployment and monitoring. Collaborate with data scientists and engineers on AI/ML projects. Required Skills & Qualifications: Strong programming skills in Python and ML libraries (TensorFlow, PyTorch, Scikit-learn). Experience with deep learning, NLP, or computer vision. Knowledge of cloud-based ML services (AWS SageMaker, Azure ML, Google AI). Familiarity with data preprocessing, feature engineering, and model evaluation. Understanding of MLOps and CI/CD for machine learning pipelines. Soft Skills: Strong analytical and problem-solving abilities. Ability to work with cross-functional teams. Excellent communication and presentation skills. Note: If interested, please share your updated resume and preferred time for a discussion. If shortlisted, our HR team will contact you. Kandi Srinivasa Reddy Delivery Manager Integra Technologies

We are seeking an experienced and innovative AI Specialist to join our dynamic team. The ideal candidate will possess deep expertise in artificial intelligence, machine learning, and neural networks, with a proven track record of designing, developing, and deploying AI solutions. The candidate should be adept at analyzing large datasets, developing optimized algorithms, and integrating AI models into production environments. This role offers the opportunity to contribute to cutting-edge AI applications that solve real-world problems and drive business value Key Responsibilities: AI System Design & Development: Design, develop, and implement AI systems and applications, including machine learning models, neural networks, and natural language processing (NLP) algorithms. Create and optimize AI algorithms for tasks such as image recognition, speech processing, and predictive analytics. Data Analysis & Feature Engineering: Analyze large datasets to identify trends, patterns, and actionable insights. Perform data preprocessing, data wrangling, and feature engineering to enhance model performance. Model Training & Optimization: Train and fine-tune machine learning models using labeled and unlabeled data to improve model accuracy and efficiency. Continuously monitor and optimize models for better performance. AI Model Integration: Deploy machine learning models into production environments, ensuring scalability and reliability. Integrate AI technologies with existing software and business processes using REST APIs. Utilize Docker and Kubernetes to containerize and manage AI models. Research & Innovation: Stay up to date with the latest advancements in AI and machine learning technologies. Explore and experiment with new AI applications, tools, and methodologies to enhance system capabilities. Collaboration & Agile Development: Work closely with cross-functional teams in an Agile environment to develop AI-driven solutions that meet business requirements. Communicate findings and results to stakeholders, ensuring AI solutions align with business goals. Primary Skills and Qualifications: AI and Machine Learning Expertise: Strong knowledge of supervised and unsupervised learning techniques, including classification, regression, clustering, and reinforcement learning. Hands-on experience developing and deploying machine learning models in production environments. Technical Proficiency: Programming Languages: Advanced proficiency in Python, with additional experience in R and SQL as a plus. ML Libraries/Frameworks: Expertise in TensorFlow, PyTorch, and scikit-learn. Cloud Platforms: Hands-on experience with AWS, Azure, or Google Cloud for model deployment and management. Model Deployment & Integration: Familiarity with REST APIs, Docker, and Kubernetes for seamless model integration. Secondary Skills and Preferred Qualifications: Natural Language Processing (NLP): Experience with NLP frameworks such as NLTK, spaCy, Hugging Face, and BERT. Agile Methodologies: Knowledge of Agile practices, with experience using tools like JIRA for project management. Mathematics and Statistics: Strong foundation in probability, statistics, and linear algebra to support model development and evaluation. Data Handling & Preprocessing: Proficiency in data cleaning, transformation, and feature engineering to prepare data for modeling.

About Position As a crucial member of our team, you'll play a pivotal role across the entire machine learning lifecycle, contributing to our conversational AI bots, RAG system and traditional ML problem solving for our observability platform. Your tasks will encompass both operational and engineering aspects, including building production-ready inference pipelines, deploying and versioning models, and implementing continuous validation processes. On the LLM side you'll fine-tune generative AI models, design agentic language chains, and prototype recommender system experiments. Role : AL ML Engineer Location: Bengaluru, Hyderabad Experience: 2-6 years What You'll Do Fine-tuning generative AI models to enhance performance. Designing AI Agents for conversational AI applications. Experimenting with new techniques to develop models for observability use cases Building and maintaining inference pipelines for efficient model deployment. Managing deployment and model versioning pipelines for seamless updates. Developing tooling to continuously validate models in production environments. What we're looking for: 2-6 Years Demonstrated proficiency in software engineering design practices. Bachelor's or advanced degree in Computer Science, Engineering, Mathematics, or a related field. Advanced degree (Master's or Ph.D.) preferred. Experience working with transformer models and text embeddings. Proven track record of deploying and managing ML models in production environments. Familiarity with common ML/NLP libraries such as PyTorch, Tensorflow, HuggingFace Transformers, and SpaCy. Preferred experience developing production-grade applications in Python. Proficiency in Kubernetes and containers. Familiarity with concepts/libraries such as sklearn, kubeflow, argo, and seldon. Expertise in Python, C++, Kotlin, or similar programming languages. Experience designing, developing, and testing scalable distributed systems. Familiarity with message broker systems (e.g., Kafka, RabbitMQ). Knowledge of application instrumentation and monitoring practices. Experience with ML workflow management, like AirFlow, Sagemaker, etc. Familiarity with the AWS ecosystem. Past projects involving the construction of agentic language chains. Benefits Competitive salary and benefits package Culture focused on talent development with quarterly promotion cycles and company sponsored higher education and certifications Opportunity to work with cutting-edge technologies Employee engagement initiatives such as project parties, flexible work hours, and Long Service awards, Annual health, check-ups Insurance coverage: group term life, personal accident, and Mediclaim hospitalization for self, spouse, two children, and parents Note: We are Preferring candidates from premium institutes and product firms

About Position As a crucial member of our team, you'll play a pivotal role across the entire machine learning lifecycle, contributing to our conversational AI bots, RAG system and traditional ML problem solving for our observability platform. Your tasks will encompass both operational and engineering aspects, including building production-ready inference pipelines, deploying and versioning models, and implementing continuous validation processes. On the LLM side you'll fine-tune generative AI models, design agentic language chains, and prototype recommender system experiments. Role : AL ML Engineer Location: Bengaluru, Hyderabad Experience: 2-6 years What You'll Do Fine-tuning generative AI models to enhance performance. Designing AI Agents for conversational AI applications. Experimenting with new techniques to develop models for observability use cases Building and maintaining inference pipelines for efficient model deployment. Managing deployment and model versioning pipelines for seamless updates. Developing tooling to continuously validate models in production environments. What we're looking for: 2-6 Years Demonstrated proficiency in software engineering design practices. Bachelor's or advanced degree in Computer Science, Engineering, Mathematics, or a related field. Advanced degree (Master's or Ph.D.) preferred. Experience working with transformer models and text embeddings. Proven track record of deploying and managing ML models in production environments. Familiarity with common ML/NLP libraries such as PyTorch, Tensorflow, HuggingFace Transformers, and SpaCy. Preferred experience developing production-grade applications in Python. Proficiency in Kubernetes and containers. Familiarity with concepts/libraries such as sklearn, kubeflow, argo, and seldon. Expertise in Python, C++, Kotlin, or similar programming languages. Experience designing, developing, and testing scalable distributed systems. Familiarity with message broker systems (e.g., Kafka, RabbitMQ). Knowledge of application instrumentation and monitoring practices. Experience with ML workflow management, like AirFlow, Sagemaker, etc. Familiarity with the AWS ecosystem. Past projects involving the construction of agentic language chains. Benefits Competitive salary and benefits package Culture focused on talent development with quarterly promotion cycles and company sponsored higher education and certifications Opportunity to work with cutting-edge technologies Employee engagement initiatives such as project parties, flexible work hours, and Long Service awards, Annual health, check-ups Insurance coverage: group term life, personal accident, and Mediclaim hospitalization for self, spouse, two children, and parents Note: We are Preferring candidates from premium institutes and product firms

We are hiring for our client, who is an Indian multinational technology services company based in Pune. It is primarily engaged in cloud computing, internet of things, endpoint security, big data analytics and software product engineering services. About Position : As a crucial member of our team, you'll play a pivotal role across the entire machine learning lifecycle, contributing to our conversational AI bots, RAG system and traditional ML problem solving for our observability platform. Your tasks will encompass both operational and engineering aspects, including building production-ready inference pipelines, deploying and versioning models, and implementing continuous validation processes. On the LLM side you'll fine-tune generative AI models, design agentic language chains, and prototype recommender system experiments. Role: AL ML Engineer Location: Bengaluru Experience : 2-6 years What You'll Do Fine-tuning generative AI models to enhance performance. Designing AI Agents for conversational AI applications. Experimenting with new techniques to develop models for observability use cases Building and maintaining inference pipelines for efficient model deployment. Managing deployment and model versioning pipelines for seamless updates. Developing tooling to continuously validate models in production environments. What we're looking for: 2-6 Years Demonstrated proficiency in software engineering design practices. Bachelor's or advanced degree in Computer Science, Engineering, Mathematics, or a related field. Advanced degree (Master's or Ph.D.) preferred. Experience working with transformer models and text embeddings. Proven track record of deploying and managing ML models in production environments. Familiarity with common ML/NLP libraries such as PyTorch, TensorFlow, HuggingFace Transformers, and SpaCy. Preferred experience developing production-grade applications in Python. Proficiency in Kubernetes and containers. Familiarity with concepts/libraries such as sklearn, kubeflow, argo, and seldon. • Expertise in Python, C++, Kotlin, or similar programming languages. Experience designing, developing, and testing scalable distributed systems. Familiarity with message broker systems (e.g., Kafka, RabbitMQ). Knowledge of application instrumentation and monitoring practices. Experience with ML workflow management, like AirFlow, Sagemaker, etc. Familiarity with the AWS ecosystem. Past projects involving the construction of agentic language chains. Benefits : Competitive salary and benefits package Culture focused on talent development with quarterly promotion cycles and company sponsored higher education and certifications Opportunity to work with cutting-edge technologies Employee engagement initiatives such as project parties, flexible work hours, and Long Service awards Annual health check-ups Insurance coverage: group term life, personal accident, and Mediclaim hospitalization for self, spouse, two children, and parents .

Location -Chennai MRC Nagar 5 days working from office Shift starts from 12/12:30 pm Job Title: NLP Researcher/Engineer About EXL Health Payments Analytics Who are we: EXL Service is a NASDAQ listed global analytics and digital solutions company with $1Billion+ revenue serving industries including insurance, healthcare, banking and financial services, media, retail etc. EXL Health contributes to $300M+ of which the Payment Integrity business contributes to $160M+. We are hiring for the EXL Health Payment Integrity's Analytics Center of Excellence (ACOE) team in Chennai: We are passionate individuals with growth/startup mindset to experiment, fail fast, learn, and contribute to our 5-fold growth story of 100M to 500M in 5 years. Our typical day: We are considered as a Digital ACOE for payment integrity by 5 of top 10 health insurance companies. We deal with billions of records each month. We do not charge these clients any consulting or resource-based billing upfront unlike typical analytics service companies, instead we make money by finding money/savings for these insurance companies. Position Overview: EXL Healthcare is seeking an NLP Researcher/Engineer with expertise in the latest generative AI/NLP stack to join our cutting-edge AI team. The ideal candidate is a self-starter with a strong passion for NLP and machine learning, demonstrated experience with large-scale text data, and a track record of building high-performance models. You will be responsible for developing and implementing state-of-the-art NLP models and algorithms, including Large Language Models (LLM). Working closely with a team of data scientists, engineers, and domain experts, you will create solutions that extract valuable insights from complex datasets, directly impacting our products and services. Key Responsibilities: Design, develop, and deploy NLP models and algorithms, including LLM. Preprocess and clean large text datasets for analysis and modeling. Conduct exploratory data analysis (EDA) to understand data patterns. Implement machine learning and deep learning models to solve NLP problems. Optimize and fine-tune LLM/DL models for performance and scalability. Collaborate with cross-functional teams to integrate NLP solutions into products and services. Stay up to date with the latest research in NLP, machine learning, and LLMs. Communicate findings and insights to technical and non-technical stakeholders through reports, presentations, and visualizations. Required Skills: Strong background in NLP, machine learning, and experience with LLMs. Proficiency in Python and SQL. Experience with NLP libraries/frameworks such as NLTK, spaCy, PyTorch, Hugging Face, LangChain, or LlamaIndex. Familiarity with data preprocessing techniques for large-scale text data. Experience with cloud platforms (e.g., AWS, GCP, Azure). Experience with LLM fine-tuning, RAG, PEFT, or Agent frameworks is a plus. Preferred Skills: Experience with fine-tuning and deploying transformer-based models for various NLP tasks. Knowledge of transfer learning and domain adaptation techniques for NLP. Familiarity with version control systems (e.g., Git) and collaborative development workflows. Experience with deploying models, including LLMs, in a production environment. Education: Bachelors and/or Master's in any Science/Engineering field.

Certified in at least one of the recent web technologies Solid experience in web development using recent web technologies and frameworks. (3 or more year of experience) Certified in Artificial Intelligence/ Machine Learning 3 or more successful Artificial Intelligence projects within enterprise settings. Solid experience in developing AI applications using Python machine learning libraries such as Numpy, Pandas, Scikit-Learn, PyTorch, NLTK, spaCy, etc., (2 or more years of experience) Advanced knowledge in machine learning, deep learning, natural language processing, generative AI, large language models and retrieval augmented generation

Position Overview: The Provider Technology Shared Services Engineering team is seeking an Software Engineer Lead Analyst for a Band 3 Contributor Career Track position. The Software Engineer Lead Analyst will play a critical role in system development within the broader Provider Technology Solutions and Engineering organization, significantly influencing Operations and Technology Product Management. This position will provide expertise in the engineering, design, installation and startup of automated systems, including a self-service onboarding kit that enables users to begin utilizing the solution within minutes. The solutions developed will be accessible to individuals with minimal technical skills and will require no additional coding, ensuring zero maintenance is needed. As a member of our team, you will operate within a high-performance, high-frequency enterprise technology environment. This role entails collaborating closely with IT management and staff to identify automated solutions that leverage existing resources with tailored configurations for each use case. The objective is to minimize redundancy in solutions while promoting an enterprise mindset focused on reusability and maintaining high standards, ultimately ensuring minimal future maintenance requirements. The Software Engineer Lead Analyst demonstrates significant creativity, foresight, and sound judgment in the conception, planning, and execution of initiatives. This role requires extensive professional knowledge and expertise to effectively advise functional leaders. Additionally, the Lead Analyst stays informed about the latest advancements in technology, including AI and machine learning, to enhance both existing and new automation solutions. These solutions are designed to optimize production costs while facilitating the addition or updating of features aimed at improving the overall software development lifecycle experiences. Responsibilities: Provide comprehensive consultation to business unit and IT management, as well as personnel, regarding all facets of application development, testing and automation solutions across diverse development, financial, operational, and computing environments. Offers leadership and strategic vision in architectural design and AI/ML guidance for the team. Perform comprehensive research to identify and recommend the most efficient, cost-effective, and scalable AI/ML automation solutions applicable throughout the Software Development Life Cycle (SDLC). This includes areas such as test data generation, code generation, test case generation, test script generation, root cause analysis, predictive analysis, etc., with the aim of enhancing the overall SDLC from development to production support. Ensures that engineering solutions are aligned with the overall Technology strategy while addressing all application requirements. Demonstrate industry-leading technical abilities that enhance product quality and optimize day-to-day operations. Understand how changes impact work upstream and downstream including various back-end and front-end architectural modules. Enhance personnel effectiveness using heat matrices to prioritize Quality and Development Engineering resources on high-impact interfaces while identifying areas of lesser focus. Proactively monitor and manage the design of supported automation solutions, ensuring scalability, stability, flexibility, simplicity, performance, availability, security, and capacity. Develop and implement automation solutions to improve engineering and operational efficiency. Troubleshoot and optimize automated solutions and related artifacts to ensure seamless execution in CI/CD pipelines and on local machines, minimizing software and package dependencies or conflicts to reduce cycle time. Execute on a strategy to hand over the automation solutions to every Agile teams for adoption and use within their areas of focus, requiring zero maintenance and minimal effort for any enhancements without delving into coding. Encouraging and building automated processes wherever possible. Recognized internally as a subject matter expert. Required Skills: Foundations in Machine Learning and Deep Learning: Understanding algorithms, neural networks, supervised and unsupervised learning, and deep learning frameworks like TensorFlow, PyTorch, and Keras. Generative Models: Knowledge of generative models such as GANs (Generative Adversarial Networks), VAEs (Variational Autoencoders), and Transformers. Natural Language Processing (NLP): Knowledge in NLP techniques and libraries (e.g., spaCy, NLTK, Hugging Face Transformers) for text generation tasks. Model Deployment: Experience with deploying models using services like TensorFlow Serving, TorchServe, or cloud-based solutions (e.g., AWS SageMaker, Google AI Platform). Basic understanding of implementing Prompt Engineering, Finetuning and RAG. Strong foundation and practical experience in programming languages, especially Python, within the context of AI/ML workflows, crucial for transitioning from traditional software development processes to optimized and innovative solutions that enhance market agility. Containerization and Orchestration: Experience with Docker and Kubernetes / OpenShift for containerization and orchestration of applications. CI/CD Pipelines: Knowledge of continuous integration and continuous deployment tools and practices. Security Best Practices: understanding of security principles and best practices for protecting data and systems, including IAM, encryption and network Security. Cloud Services: Familiarity with cloud platforms like AWS / Google Cloud / Azure for deploying and managing applications and AI models. Required Experience & Education: A Bachelor's degree in Computer Science or a related field is required. A minimum of 5 years of experience in Software Development, including 3 years of professional experience in AI and Machine Learning engineering. At least 3 years of experience in Agile methodologies is required. Familiarity with an onshore/offshore operational model is essential. Demonstrated experience in the architecture, design and development of large-scale enterprise application solutions is required. Desired Experience: Proficient in AI / ML practices and automation techniques. Experienced in programming languages and scripting, including Python, Shell, Bash, Groovy, Ansible and Docker. Providing coaching and guidance to team members. Location & Hours of Work: Full-time position, working 40 hours per week. Expected overlap with US hours as appropriate. Primarily based in the Innovation Hub in Hyderabad, India in a hybrid working model (3 days WFO and 2 days WAH)

Position Overview: The AI CoE team is seeking Gen AI Fullstack Manager to work on the AI ecosystem. The GenAI Fullstack Engineer will be responsible for designing, implementing, and deploying scalable and efficient AI solutions with a focus on privacy, security, and fairness. Key components include Angular and React JS based user interfaces, a robust set of Application Programming Interfaces (APIs) enabling a wide range of platform integration capabilities. Strong Python/C# programming skills are required for this role, Primary responsibilities are to build an AI Platform(s) leveraging the LLMs and other Gen AI Capabilities and provide design solution for portal integrations, enhancement, and automation requests. The ideal candidate is a technologist that brings a fresh perspective and passion to solve complex functional and technical challenges in a fast-paced and team-oriented environment. Responsibilities: Recruiting, training, and managing a diverse group of professionals, including Gen AI Fullstack developers and AI specialists. Responsible for evaluating the performance of their team members, providing feedback, and helping team members set and achieve performance goals. Full stack development including triage, design, coding and implementation. Build enterprise grade AI solutions with focus on privacy, security, fairness. Perform code reviews with scrum teams to approve for Production deployment. Conduct research to identify new solutions and methods to fulfill diverse and evolving business needs Establish/Improve/Maintain Proactive monitoring and management of supported assets assuring performance, availability, security, and capacity Maintains a strong and collaborative relationship with delivery partners and business stakeholders. Qualifications Required Skills: Back-End Development Skills: Server-Side Languages: Proficiency in server-side languages such as Python or C#. APIs: Experience in building and consuming RESTful Flask Fast API GraphQL APIs. Database Management: Knowledge of SQL and NoSQL databases, including MySQL, PostgreSQL, MongoDB, etc. Front-End Development Skills: HTML CSS JavaScript: Proficiency in the core technologies for building web interfaces .Front-End Frameworks: Knowledge of frameworks like React, Angular, or Vue.js for creating interactive and responsive user interfaces .UI/UX Design: Basic understanding of user experience and user interface design principles DevOps and Cloud Skills Containerization and Orchestration: Experience with Docker and Kubernetes OpenShift for containerization and orchestration of applications .CI/CD Pipelines: Knowledge of continuous integration and continuous deployment tools and practices .Security Best Practices: understanding of security principles and best practices for protecting data and systems, including IAM, encryption and network Security .Cloud Services: Familiarity with cloud platforms like AWS Google Cloud Azure for deploying and managing applications and AI models AI and Machine Learning Skills (Good to have, not mandatory): Foundations in Machine Learning and Deep Learning: Understanding algorithms, neural networks, supervised and unsupervised learning, and deep learning frameworks like TensorFlow, PyTorch, and Keras .Generative Models: Knowledge of generative models such as GANs (Generative Adversarial Networks), VAEs (Variational Autoencoders), and Transformers .Natural Language Processing (NLP): Knowledge in NLP techniques and libraries (e.g., spaCy, NLTK, Hugging Face Transformers) for text generation tasks .Model Deployment: Experience with deploying models using services like TensorFlow Serving, TorchServe, or cloud-based solutions (e.g., AWS SageMaker, Google AI Platform) Basic understanding of implementing Prompt Engineering, Finetuning and RAG Required Experience & Education: 12+ Years of Experience Previous experience as a Fullstack developer and strong programming skills .Experience working within the healthcare industry is desirable .Familiarity with healthcare-specific IT systems and industry regulations, such as Electronic Health Record systems and HIPAA, is an added advantage Desired Experience :Exposure to Gen AI and Cloud systems like AWS.

Description Role OverviewWe are looking for a skilled Data Scientist with expertise in Natural Language Processing (NLP) and experience working with AWS technologies. The candidate will work on advanced AI/ML solutions to support the CDAO PI Tech Scale AI Program contributing to the development and deployment of NLP-based models and solutions. Key Responsibilities Design develop and implement NLP models and algorithms to solve business problems. Process analyze and extract insights from structured and unstructured data. Build and deploy machine learning models on AWS services such as SageMaker Lambda and Glue. Collaborate with cross-functional teams to integrate AI/ML solutions into existing systems. Optimize models for scalability efficiency and accuracy in real-world applications. Conduct exploratory data analysis and feature engineering. Stay updated on emerging trends in NLP and AI/ML. Qualifications Bachelor's/Master's degree in Computer Science Data Science or related field. 3-5 years of experience in NLP and machine learning. Proficiency in Python or R and NLP libraries (e.g. SpaCy NLTK Hugging Face). Hands-on experience with AWS tools like SageMaker Glue Lambda and S3. Strong understanding of deep learning frameworks like TensorFlow or PyTorch. Experience with REST APIs and data visualization tools. Strong problem-solving and communication skills. Named Job Posting? (if Yes - needs to be approved by SCSC) Additional Details Global Grade B Level To Be Defined Named Job Posting? (if Yes - needs to be approved by SCSC) No Remote work possibility No Global Role Family 60242 (P) Data Management Local Role Name 6506 Data Scientist Local Skills 6341 (T) Data Science and Analytics Languages RequiredEnglish Role Rarity To Be Defined

Dear Candidate, We are looking for a skilled Python Software Developer to design, develop, and optimize high-performance applications. You will work on building scalable back-end services, APIs, and data-driven applications while ensuring code quality and efficiency. If you are passionate about Python development, cloud technologies, and automation , wed love to hear from you! Key Responsibilities: Develop, test, and maintain backend applications and RESTful APIs using Python. Work with Django, Flask, or FastAPI frameworks to build scalable web applications. Optimize performance, security, and scalability of applications. Integrate third-party services, APIs, and data pipelines. Work with SQL and NoSQL databases (PostgreSQL, MySQL, MongoDB, Redis). Implement authentication and authorization mechanisms (JWT, OAuth, LDAP). Write clean, maintainable, and well-documented code following best practices. Conduct unit testing and test-driven development (TDD) using PyTest or Unittest. Implement CI/CD pipelines and automation for efficient deployments. Collaborate with DevOps teams to deploy applications on AWS, Azure, or GCP . Stay updated with Python libraries, frameworks, and industry trends . Required Skills & Qualifications: Strong proficiency in Python and object-oriented programming (OOP) . Experience with Django, Flask, or FastAPI for web application development. Familiarity with SQL and NoSQL databases (PostgreSQL, MySQL, MongoDB, Redis). Knowledge of RESTful APIs, GraphQL, and WebSockets . Experience with Docker and Kubernetes for containerized deployments. Hands-on experience with cloud platforms (AWS, GCP, or Azure). Strong understanding of data structures, algorithms, and system design . Experience with Celery, RabbitMQ, or Kafka for background task processing. Proficiency in Git and version control workflows (GitHub, GitLab, Bitbucket). Familiarity with CI/CD pipelines and automation (Jenkins, GitHub Actions, Azure DevOps). Strong problem-solving, debugging, and analytical skills. Soft Skills: Strong problem-solving and analytical skills. Excellent communication skills to work with cross-functional teams. Ability to work independently and as part of a team. Detail-oriented with a focus on delivering high-quality solutions Note: If you are interested, please share your updated resume and suggest the best number & time to connect with you. If your resume is shortlisted, one of the HR from my team will contact you as soon as possible. Srinivasa Reddy Kandi Delivery Manager Integra Technologies

Your Role Understand client business requirement and provide suitable approach to solve the business problem. Identify and address client needs in different domains. Processing, cleansing and verifying the integrity of data used for analysis. Data mining and performing EDAs using state-of-the-art methods. Selecting features, building and optimizing classifiers / regressors, etc. using machine learning & deep learning techniques. Help enhance data collection procedures to include information that is relevant for building analytical systems Doing ad-hoc analysis and presenting results in a clear manner. Follow and help improve with Analytics-Delivery procedures using detailed documentations. Your Profile Good problem solver with a skill of solving business problem with analytics and data as primary means. Experience in delivering data & analytics solution in one/two of the following areas preferably Excellent coding experience in common data science language & tools such as R, Python, Go, SAS, Matlab etc. Experience with common data science toolkits, such as NumPy, Pandas, StatModel, Scikit learn, SciPy, NLTK, Spacy, Gensim, OpenCV, MLFlow, Tensorflow, Pytorch etc. Hands on experience in using query languages such as SQL, NoSQL etc Excellent understanding and hand-on experience of data-science and machine learning techniques & algorithms for supervised and unsupervised problems (such as k-NN, Regression, Naive Bayes, SVM, Decision Tree, Random Forests, k-means, PCA, SVD, GenAI (LLM) etc.). Good applied statistics skills, such as distributions, statistical inference & testing, etc. Good knowledge/ Experience of cloud platform e.g. AWS, Azure, GCP etc What youll love about working here We recognize the significance of flexible work arrangements to provide support. Be it remote work, or flexible work hours, you will get an environment to maintain healthy work life balance. At the heart of our mission is your career growth. Our array of career growth programs and diverse professions are crafted to support you in exploring a world of opportunities. Equip yourself with valuable certifications in the latest technologies such as Generative AI. About Capgemini Capgemini is a global business and technology transformation partner, helping organizations to accelerate their dual transition to a digital and sustainable world, while creating tangible impact for enterprises and society. It is a responsible and diverse group of 340,000 team members in more than 50 countries. With its strong over 55-year heritage, Capgemini is trusted by its clients to unlock the value of technology to address the entire breadth of their business needs. It delivers end-to-end services and solutions leveraging strengths from strategy and design to engineering, all fueled by its market leading capabilities in AI, cloud and data, combined with its deep industry expertise and partner ecosystem. The Group reported 2023 global revenues of 22.5 billion.

Job Role: Lead - Data Science Computer Vision | App Development . Location: Bengaluru, Karnataka. Notice Period: Immediate to 20 days. Mode: Work from Office. Job Description This is an exciting opportunity to be a part of the team that develops foundational capabilities enabling enhanced analytics and measurement, critical to shaping global digital adoption and experience strategies. The incumbent will be part of the Digital Analytics & Insights team and will report to the Manager in charge of Digital Analytics. He/she will be an individual contributor working on Digital analytics space as primary responsibility. Job Responsibilities Understanding the end users requirement and translating the requirement into a business requirement document. Preparation of Digital roadmap, Digital Strategy and Proposals / Planning Documents Exploratory data analysis, Data Understanding, Data cleaning, Data analysis Development of Machine Learning models for the business problems in requirement document Maintaining codes and documentation of the models and analysis. Interacting with client for data, plan of analysis, sharing result, Models & Insights Requirements/Skill sets Must-have technical skills Must be proficient in using python 3.x platform, MS Excel and Database. Pro-efficient in Computer Vision/Image Processing domain Have worked on IOT data / IOT technology related business cases Thorough knowledge of statistics, probability, and foundational mathematics of data Science Must have pro-efficient in machine learning and Deep Learning algorithm using Keras, Pytorch etc Knowledge of NLP and its libraries like NLTK, Gensim, Spacy, LDA Must-have soft skills Excellent written and oral communication skills Good interpersonal, problem solving, reasoning and analytical skills Ability to interact with clients with ease Good-to-have skillss Working knowledge Web Analytics, Consumer Analytics Big Data, Web and App Technologies Knowledge of Social platforms (Facebook, Twitter, LinkedIn, Google, WhatsApp etc.) and their APIs. Education and Experience Bachelors/masters in computer science/engineering or MBA with Bachelor in technical. Work Experience of 10+years in Data Science and 6+ years in Computer Vision , Image Analytics People Management Experience Must including performance management Project Management Experience Must including Talent Productivity Management

As a Senior Python Developer having 4-6 years of experience with a focus on Python development, your roles and responsibilities will encompass a broad range of tasks aimed at leveraging Python and AI/ML technologies to solve complex problems and build innovative solutions. Roles & Responsibilities: Python Development: Software Development: - Write clean, maintainable, and efficient Python code. - Develop and maintain Python-based applications, APIs(Flask and Fast API preferred) , and microservices. Code Review and Mentorship: - Conduct code reviews to ensure adherence to best practices and coding standards. - Mentor junior developers and provide guidance on best practices and development techniques. Integration and Testing: - Integrate machine learning models with existing systems and applications. - Develop and execute unit tests, integration tests, and end-to-end tests to ensure software quality. Automation and Scripting: - Automate repetitive tasks and workflows using Python scripts. - Develop and maintain automation tools and frameworks. Collaboration and Communication: - Collaborate with data scientists, data engineers, product managers, and other stakeholders to understand requirements and deliver solutions. - Participate in design and architecture discussions to shape the direction of projects. Documentation and Reporting: - Document code, processes, and methodologies to ensure knowledge sharing and maintainability. - Communicate findings, progress, and results to stakeholders through reports and presentations. Continuous Learning and Improvement: 1. Stay Updated with Industry Trends: - Keep up-to-date with the latest developments in AI/ML and Python technologies. - Experiment with new tools, libraries, and frameworks to improve existing solutions and processes. Problem Solving and Innovation: 1. Innovative Solutions: - Identify opportunities to apply AI/ML techniques to solve new and existing problems. - Propose and implement innovative solutions to improve business processes and outcomes. 2. Technical Challenges: - Tackle complex technical challenges and provide effective solutions. - Troubleshoot and resolve issues related to machine learning models and Python applications. Mandatory Skills: Strong proficiency in Python and its libraries (e.g., NumPy, Pandas, Scikit-Learn, TensorFlow, PyTorch). Experience in NLP (Natural Language Processing), including tools like NLTK, SpaCy, or Named Entity Recognition (NER) frameworks." Experience with data preprocessing, feature engineering, and model evaluation. Knowledge of software development principles, design patterns, and best practices. Excellent problem-solving and analytical skills. Strong communication and collaboration abilities. Ability to work independently and as part of a team. Continuous learning mindset and adaptability to new technologies. Desired Skills: Experience with version control systems (e.g., Git) & Jira is plus. Experience with cloud platforms (e.g., AWS, Azure) Proficiency in software development methodologies such as Agile Familiarity with database systems such as SQL databases.

Elevate Your Impact Through Innovation and Learning Evalueserve is a global leader in delivering innovative and sustainable solutions to a diverse range of clients, including over 30% of Fortune 500 companies. With a presence in more than 45 countries across five continents, we excel in leveraging state-of-the-art technology, artificial intelligence, and unparalleled subject matter expertise to elevate our clients' business impact and strategic decision-making. Our team of over 4,500 talented professionals operates in countries such as India, China, Chile, Romania, the US, and Canada. Our global network also extends to emerging markets like Colombia, the Middle East, and the rest of Asia-Pacific. Recognized by Great Place to Work in India, Chile, Romania, the US, and the UK in 2022, we offer a dynamic, growth-oriented, and meritocracy-based culture that prioritizes continuous learning and skill development, work-life balance, and equal opportunity for all. Curious to know what its like to work at Evalueserve? About Innovation and Technology Centre (ITC) Our Innovation and Technology Centre specializes in creating modular solutions to meet clients' specific needs. As a member of the team, you will have the opportunity to develop and implement digital products, platforms, and tools specifically designed for research, analytics, and data management domains. We are at the forefront of technological advancements, and our AI efforts rely on our larger platform called AI for Research and Analytics (AIRA). What you will be doing at Evalueserve: Communicate with internal and external clients to understand business problems, participate in brainstorming sessions, and explore and propose suitable solutions Collect data, optimize data models, and evaluate results Improve existing model developments, wherever applicable Work with solution architects, back-end and front-end teams, etc., to successfully implement assigned use cases Ensure output quality and adhere to project timelines Support the development of AI-based solutions and platforms for various business partners across the globe Graduate / postgraduate in computer science, mathematics, engineering, or a related field More than three years of hands-on experience in programming languages such as Python and C++ Academic background in machine learning, deep learning, and natural language processing Experience in open-source ML frameworks such as TensorFlow, Keras, and PyTorch Experience in GenAI, knowledge graphs, ranking algorithms, and / or recommendation engines will be advantageous Experience in computer vision / image recognition will be advantageous What we're looking for: Knowledge and experience of building solutions based on large language models, such as GPT, Vicuna, LlaMa-2, and falcon. Experience in LLM fine-tuning will be advantageous In-depth knowledge of vector databases, such as Weaviate, Milvus, and Pinecone Showcase a flexible attitude to new technology and methodologies with a change in clients and business questions Extensive knowledge on NLU, NLP, and common NLP algorithms such as BERT, word2vec, FastText, and ELMO Be familiar with general software design concepts, product development lifecycles, and machine learning model deployments Knowledge of data structures and No-SQL databases Ability to stay updated and quickly grasp new concepts Passionate about learning and growing in the industry Entrepreneurial mindset, coupled with a can do attitude Good verbal and written communication and presentation skills Disclaimer: The following job description serves as an informative reference for the tasks you may be required to perform. However, it does not constitute an integral component of your employment agreement and is subject to periodic modifications to align with evolving circumstances.

Overview Must Have Skills Scripting/Programming : Skilled in Shell and Python / Java for automation and tool development. Familiarity with NLP libraries like NLTK or spaCy or Tensor flow Data Analysis: Strong analytical skills to clean, preprocess, and analyze large datasets Good understanding of Machine Learning & Deep Learning Responsibilities An NLP Engineer focuses on designing and implementing algorithms and models that enable machines to understand, interpret, and respond to human language. The role combines expertise in linguistics, machine learning, and software development to build applications that process and analyze large amounts of natural language data. Must Have Skills Scripting/Programming : Skilled in Shell and Python / Java for automation and tool development. Familiarity with NLP libraries like NLTK or spaCy or Tensor flow Data Analysis: Strong analytical skills to clean, preprocess, and analyze large datasets Good understanding of Machine Learning & Deep Learning Requirements Must Have Skills Scripting/Programming : Skilled in Shell and Python / Java for automation and tool development. Familiarity with NLP libraries like NLTK or spaCy or Tensor flow Data Analysis: Strong analytical skills to clean, preprocess, and analyze large datasets Good understanding of Machine Learning & Deep Learning Additional Skills: Kubernetes: Strong experience in deploying and scaling applications, managing secrets, and troubleshooting within Kubernetes environments. K8s networking, CNI, VLAN and CNS Google Cloud : Familiarity with Google Cloud Build, Cloud Deploy,Cloud Functions, Secret Manager, GCS-storage Virtualization & Containerization : Understanding of virtualization concepts and experience with containerization technologies, including KubeVirt. Proficient in building and deploying containers CI/CD, DevOps : Experienced in automating build processes, module testing, static code analysis, integration testing, application packaging, vulnerability scanning, and release management. Configuration Management: Proficient with tools such as Terraform and Ansible for infrastructure as code.

We are seeking an experienced Mid-Level Data Scientist for the development of data-driven solutions aimed at identifying and capitalizing on critical business opportunities. You will design and implement predictive models, integrate internal and external data sources, and recommend machine learning strategies that enhance decision-making. This role requires hands-on expertise in model development, strategic collaboration with cross-functional teams, and mentoring junior data scientists. You will contribute to shaping the departments strategy and manage complex projects with a focus on delivering high-impact results. Key Responsibilities: Develop and implement advanced statistical and machine learning models to address business challenges and improve decision accuracy. Communicate findings and model insights effectively to stakeholders, ensuring alignment with business processes and objectives. Innovate and recommend new modeling techniques, tools, and approaches to enhance project outcomes. Collaborate with business teams to design and execute machine learning solutions that drive business value and improve overall decision-making. Identify opportunities for integrating new data sources, both internal and external, to enhance model performance and business outcomes. Develop and manage complex analytical projects, ensuring timely delivery while maintaining high-quality standards. Mentor junior data scientists, fostering a collaborative and growth-oriented team environment. Guide the strategy for machine learning and predictive modeling within the department, ensuring continuous improvement in data-driven decision-making. Qualifications: Bachelors degree in a quantitative field (e.g., Statistics, Mathematics, Computer Science, Engineering) or equivalent experience. 4-6 years of experience in data science, analytics, or quantitative modeling. Expertise in predictive modeling, machine learning, and statistical techniques such as clustering, classification, and regression. Proficiency in Python and SQL, with a strong understanding of data manipulation and analysis tools. Familiarity with a range of machine learning libraries and frameworks such as NumPy , Pandas , Scikit-learn , XGBoost , LightGBM , TensorFlow , Keras , and others listed below. Experience with big data tools and techniques (e.g., PySpark , Dask , Vaex , Apache Airflow ) is a plus. Strong project management skills and ability to break down complex tasks into manageable steps, ensuring timely project delivery. Proven ability to work collaboratively and influence business partners at all levels. Key Tools and Libraries: NumPy, Pandas, SciPy : Scientific computing, data analysis, and modeling. scikit-learn, XGBoost, LightGBM, CatBoost : Predictive modeling, classification, regression, and large datasets. TensorFlow, Keras, PyTorch : Deep learning, neural networks, distributed training. Plotly, Matplotlib, Seaborn, Altair : Data visualization, interactive dashboards, statistical plots. PySpark, Dask, Vaex : Big data processing and real-time data handling. Apache Airflow, PyCaret : Machine learning automation, pipeline scheduling. SpaCy, Hugging Face Transformers : Natural language processing and text analysis.