5480 Deep Learning Jobs - Page 25

About The Role 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 : Large Language Models Good to have skills : NAMinimum 3 year(s) of experience is required Educational Qualification : 15 years full time education Summary :As an AI / ML Engineer, you will engage in the development of applications and systems that leverage artificial intelligence tools and cloud AI services. Your typical day will involve collaborating with cross-functional teams to design and implement production-ready solutions, ensuring that the applications meet high-quality standards. You will also explore the integration of generative AI models into various projects, contributing to innovative solutions that may encompass deep learning, neural networks, chatbots, and image processing technologies. Your role will require a proactive approach to problem-solving and a commitment to continuous learning in the rapidly evolving field of AI and machine learning. Roles & Responsibilities:- Expected to perform independently and become an SME.- Required active participation/contribution in team discussions.- Contribute in providing solutions to work related problems.- Assist in the design and implementation of AI-driven applications and systems.- Collaborate with team members to troubleshoot and resolve technical challenges. Professional & Technical Skills: - Must To Have Skills: Proficiency in Large Language Models.- Strong understanding of deep learning frameworks such as TensorFlow or PyTorch.- Experience with cloud platforms and services for deploying AI applications.- Familiarity with data preprocessing and feature engineering techniques.- Knowledge of natural language processing and its applications. Additional Information:- The candidate should have minimum 3 years of experience in Large Language Models.- This position is based at our Pune office.- A 15 years full time education is required. Qualification 15 years full time education

Project Role : Software Development Lead Project Role Description : Develop and configure software systems either end-to-end or for a specific stage of product lifecycle. Apply knowledge of technologies, applications, methodologies, processes and tools to support a client, project or entity. Must have skills : Oracle Cloud Infrastructure Administration Good to have skills : Oracle Advanced Access ControlsMinimum 12 year(s) of experience is required Educational Qualification : 15 years full time education Summary :As a Software Development Lead, you will engage in the development and configuration of software systems, either managing the entire process or focusing on specific stages of the product lifecycle. Your day will involve applying your extensive knowledge of various technologies, applications, methodologies, and tools to effectively support clients and projects, ensuring that all systems are optimized for performance and functionality. You will also collaborate with team members to address challenges and implement innovative solutions that enhance the overall project outcomes. Roles & Responsibilities:- Expected to be an SME.- Collaborate and manage the team to perform.- Responsible for team decisions.- Engage with multiple teams and contribute on key decisions.- Expected to provide solutions to problems that apply across multiple teams.- Facilitate knowledge sharing and mentoring within the team to enhance overall skill levels.- Monitor project progress and ensure alignment with strategic goals. Professional & Technical Skills: - Must To Have Skills: Proficiency in Oracle Cloud Infrastructure Administration.- Strong understanding of cloud architecture and deployment models.- Experience with infrastructure as code tools such as Terraform or Ansible.- Familiarity with security best practices in cloud environments.- Ability to troubleshoot and optimize cloud-based applications. Additional Information:- The candidate should have minimum 12 years of experience in Oracle Cloud Infrastructure Administration.- This position is based at our Bengaluru office.- A 15 years full time education is required. Qualification 15 years full time education

Roles and responsibilities Develop novel AIML algorithms and methodologies applicable to control systems engineering and anomaly detection problems. Analyse large time series datasets to identify patterns, trends, and insights to deliver algorithms dealing with diagnostics and prognostics of large energy equipment. Implement and optimize AIML algorithms and models. Design and conduct experiments to test the performance and robustness of AIML-based solutions. Document research findings, methodologies, and implementation details for knowledge sharing and future reference. Collaborate with cross-functional teams, including engineers, researchers, and product managers, to integrate AIML solutions into existing system platforms. Keep abreast of the latest advancements in AIML, control systems, and signal processing engineering through literature review and participation in relevant conferences and seminars. Required Qualifications PhD with 2 - 5 Years Experience or Masters degree with 5 - 7 Years Experience from a reputed institution in Computer Science or other engineering field. Strong understanding of fundamental concepts in statistics, machine learning, and artificial intelligence. Proficiency in programming languages commonly used in AIML applications such as Python, PySpark, PyTorch, Pandas, or similar. Experience with data analysis and manipulation using tools like Pandas, NumPy, or MATLAB. Familiarity with software development best practices, including version control (e.g., Git) and agile methodologies. Basic knowledge of cloud-based architectures Excellent problem-solving skills and ability to think critically and creatively. Strong communication skills and ability to work effectively in a collaborative team environment. Demonstrated ability to build prototypes and quickly develop proof of concepts to show solution feasibility.

ql-editor "> Role: Data Scientist Experience: 3-4 Years Location: Hyderabad (Hybrid) Tezo is seeking a highly motivated Data Scientist / AI Engineer with 3 4 years of professional experience in data science, machine learning, and AI solution development. In this role, you will design, develop, and deploy end-to-end data-driven solutions, working closely with cross-functional teams to solve complex business problems using advanced analytics and AI. Why Join Our AI/ML Practice Purpose-driven: Work on projects that create meaningful impact for clients. Collaborative: Learn and contribute in a team that values sharing ideas and teamwork. Continuous Growth: Get mentorship, hands-on training, and exposure to cutting-edge tools. Accountable & Trusted: Take ownership of your learning and contribute to team outcomes. Key Responsibilities Collaborate with stakeholders to understand business challenges and translate them into data science problems. Design, develop, and optimize machine learning models (supervised, unsupervised, deep learning, NLP, etc.). Preprocess, clean, and analyze large structured and unstructured datasets. Deploy ML models into production environments using MLOps practices . Build data pipelines and work with engineers to ensure scalability and reliability of AI solutions. Conduct experiments, perform model validation, and optimize performance. Develop dashboards and visualizations to communicate insights to business teams. Mentor junior data scientists and contribute to best practices in coding, documentation, and model governance. Required Skills Bachelor s or master s degree in computer science, Data Science, Statistics, Mathematics, Engineering, or related field. 3 4 years of hands-on experience in data science and AI projects. Strong programming skills in Python (preferred) or R, with expertise in Pandas, NumPy, Scikit-learn, TensorFlow/PyTorch . Solid understanding of machine learning algorithms, deep learning, NLP, and statistical modeling . Experience with SQL and data manipulation. Exposure to MLOps tools (MLflow, Kubeflow, Docker, CI/CD pipelines). Experience working with cloud platforms (AWS, Azure, GCP). Strong analytical and problem-solving skills, with the ability to translate data into actionable insights. Experience with large language models (LLMs) and generative AI.

Designation: Machine Learning Engineer Location: Gurugram Required Years of experience: 0-4 years Job Summary: We are a Healthcare Technology company dedicated to revolutionizing medical and hospital services through innovative applications of Machine Learning (ML) and Artificial Intelligence (AI). We seek a highly skilled and motivated Machine Learning Engineer to join our dynamic team. The ideal candidate will have expertise in ML frameworks, and cloud platforms such as AWS/Azure, a strong background in medical or hospital-related projects, and experience working with AI platforms/tools like Open AI. Responsibilities: Study and transform data science prototypes into scalable ML solutions. Design and implement machine learning systems for medical and hospital applications. Research, evaluate, and implement appropriate ML algorithms and tools to solve complex healthcare challenges. Develop ML applications according to project requirements and industry best practices. Select and pre-process datasets using effective data representation methods. Conduct rigorous machine learning tests, experiments, and statistical analysis. Fine-tune ML models based on test results to improve accuracy and performance. Train and retrain machine learning systems as needed to adapt to changing data patterns. Extend and optimize existing ML libraries and frameworks for enhanced functionality. Stay updated with the latest advancements and trends in ML, AI, and healthcare technology. Requirements and Skills: Proven experience as a Machine Learning Engineer or in a similar role, with hands-on experience in ML projects. Strong background in machine learning, natural language processing (NLP), and data science. Solid understanding of data structures, data modelling, and software architecture principles. Deep knowledge of mathematics, probability, statistics, and algorithms. Proficiency in writing robust code in Python for ML applications. Experience working with AI platforms/tools such as OpenAI. Skilled in cloud platforms like AWS and Azure for deploying and managing ML models. Excellent communication skills to collaborate effectively with cross-functional teams. Ability to work collaboratively in a team environment and contribute to project success. Outstanding analytical and problem-solving abilities to tackle complex healthcare challenges. Bachelor's degree in Computer Science, Mathematics, or a related field; a Masters degree is a plus.

At American Express, our culture is built on a 175-year history of innovation, shared values and Leadership Behaviors, and an unwavering commitment to back our customers, communities, and colleagues. As part of Team Amex, youll experience this powerful backing with comprehensive support for your holistic well-being and many opportunities to learn new skills, develop as a leader, and grow your career. Here, your voice and ideas matter, your work makes an impact, and together, you will help us define the future of American Express. How will you make an impact in this role Responsible for contacting clients with overdue accounts to secure the settlement of the account. Also they do preventive work to avoid future over dues with accounts that have a high exposure. Minimum Qualifications Strong understanding of machine learning and deep learning principles and algorithms. Experience in developing and implementing generative AI models and algorithms. Proficiency in programming languages such as Python, TensorFlow, and PyTorch. Ability to work with large datasets and knowledge of data preprocessing techniques. Familiarity with natural language processing (NLP) and computer vision for generative AI applications. Experience in building and deploying generative AI systems in real-world applications. Strong problem-solving and critical thinking skills for complex AI problems. Preferred Qualifications Excellent communication and teamwork abilities to collaborate with cross-functional teams. Proven track record of delivering innovative solutions using generative AI technologies. Ability to stay updated with the latest advancements in generative AI and adapt to new techniques and methodologies.

In this Role, you will be at the forefront of developing and deploying advanced machine learning and deep learning solutions. Closely work with Data Engineers and other ML engineers in the team. This pivotal role involves leading the entire lifecycle of AI models, from research and experimentation to robust production deployment. You will tackle complex challenges across various domains, including Computer Vision, Natural Language Processing, and cutting-edge Generative AI applications, contributing directly to our next generation of intelligent products and services. We are seeking a highly motivated individual who can work independently, champion their solutions, and thrive in an agile, results-oriented environment. Required Qualifications: Bachelors or Masters degree in Computer Science, Data Science, Artificial Intelligence, Electrical Engineering, or a related quantitative field. Proven professional experience as a Data Scientist or Machine Learning Engineer, with a significant focus on deep learning. Demonstrated experience in the end-to-end training, evaluation, and deployment of deep learning models in a production setting. Expertise in classical Machine Learning, Deep Learning, Computer Vision, and Natural Language Processing. Hands-on experience with Generative AI concepts and tools, including LangChain, LangGraph, RAG, and various embedding techniques. Knowledge on multi-modal solutions, specifically involving image embedding. Basic understanding of data pipeline architectures and data engineering principles. Proficiency with MLOps tools such as Docker for containerization and best practices in package management and versioning. Experience with prompt engineering for optimizing AI model performance. Strong Python programming skills are essential, with extensive experience in: PyTorch (mandatory) OpenCV Pandas Scikit-learn Scikit-image Hugging Face Transformers NLTK Sentence-Transformers Other related data science and machine learning packages. Responsibilities: End-to-End Model Development: Lead the complete lifecycle of deep learning models, from initial data exploration and model design to training, rigorous evaluation, optimization, and deployment into production environments. Advanced ML/DL Application: Design, develop, and implement state-of-the-art machine learning and deep learning algorithms for diverse applications, with a strong focus on Computer Vision and Natural Language Processing. Generative AI Expertise: Drive the integration and development of Generative AI solutions, leveraging frameworks and techniques such as LangChain, LangGraph, Retrieval Augmented Generation (RAG), and advanced embedding strategies to create innovative capabilities. Multi-Modal Solutions: Develop and deploy multi-modal AI solutions, including expertise in image embedding and fusing information from various data types. Data Pipeline Collaboration: Collaborate closely with data engineering teams to ensure efficient data access, robust data pipelines, and scalable infrastructure for model training and inference. MLOps & Reproducibility: Apply best practices in MLOps, including extensive use of Docker for containerization, and implement robust package management and versioning strategies to ensure reproducibility and maintainability of models. Prompt Engineering: Utilize advanced prompt engineering techniques to fine-tune and optimize the performance, behavior, and output quality of large language models and other generative AI systems. Independent & Accountable Work: Demonstrate a high level of maturity and autonomy, capable of independently driving projects from conception through to successful completion. Solution Defense & Reasoning: Possess strong analytical and reasoning capabilities to articulate, present, and defend proposed machine learning solutions and technical decisions to both technical and non-technical stakeholders. Agile Collaboration: Work effectively within an Agile development methodology, adapting to evolving requirements, participating actively in sprint cycles, and collaborating seamlessly with cross-functional teams. Validation & Testing Excellence: Implement rigorous model validation, testing, and quality assurance processes to ensure the accuracy, reliability, and performance of all developed AI solutions.

Job Title: Sr. Data scientist-Gen AI Location: Bangalore Experience: 4+ years No. of openings: 2 About the Role: We are looking for an experienced AI/ML Engineer with a strong background in Generative AI (GenAI), Large Language Models (LLMs), and Retrieval-Augmented Generation (RAG) implementation . You will play a key role in designing, developing, and deploying cutting-edge AI solutions that leverage state-of-the-art machine learning techniques to solve complex problems. Key Responsibilities: Design, develop, and optimize LLM-based applications with a focus on RAG pipelines, fine-tuning, and model deployment . Implement GenAI solutions for text generation, summarization, code generation, and other NLP tasks. Develop and optimize ML models , leveraging classical and deep learning techniques. Build and integrate retrieval systems using vector databases like FAISS, ChromaDB, Pinecone, or Weaviate . Optimize and fine-tune LLMs (e.g., OpenAI GPT, LLaMA, Mistral, Falcon ) for domain-specific use cases. Develop data pipelines for training, validation, and inference. Work on scalable AI solutions , ensuring performance and cost efficiency in deployment. Collaborate with cross-functional teams to integrate AI models into production applications. Required Skills & Qualifications: 4+ years of experience in AI/ML development. Strong proficiency in Python and ML frameworks like TensorFlow, PyTorch, or Hugging Face Transformers . Hands-on experience with LLMs, GenAI, and RAG architectures . Experience working with vector databases (e.g., FAISS, Pinecone, ChromaDB). Knowledge of ML algorithms , deep learning architectures, and NLP techniques. Familiarity with cloud platforms ( AWS, GCP, or Azure ) and AI/ML model deployment. Experience with LangChain or LlamaIndex for LLM applications is a plus. Strong problem-solving skills and the ability to work in a fast-paced environment. Perks & Benefits: Health and Wellness: Healthcare policy covering your family and parents. Food: Enjoy scrumptious buffet lunch at the office every day. (Bangalore) Hybrid work policy: Beat the everyday traffic commute. A 3-day in office and 2-day WFH policy based on your roles and responsibilities. Professional Development: Learn and propel your career. We provide workshops, funded online courses and other learning opportunities based on individual needs. Rewards and Recognitions: Recognition and rewards programs in place to celebrate your achievements and contributions. To find out more about us, head over to our Website and LinkedIn.

ZS is a place where passion changes lives. As a management consulting and technology firm focused on improving life and how we live it , our most valuable asset is our people. Here you ll work side-by-side with a powerful collective of thinkers and experts shaping life-changing solutions for patients, caregivers and consumers, worldwide. ZSers drive impact by bringing a client first mentality to each and every engagement. We partner collaboratively with our clients to develop custom solutions and technology products that create value and deliver company results across critical areas of their business. Bring your curiosity for learning; bold ideas; courage an d passion to drive life-changing impact to ZS. Our most valuable asset is our people . At ZS we honor the visible and invisible elements of our identities, personal experiences and belief systems the ones that comprise us as individuals, shape who we are and make us unique. We believe your personal interests, identities, and desire to learn are part of your success here. Learn more about our diversity, equity, and inclusion efforts and the networks ZS supports to assist our ZSers in cultivating community spaces, obtaining the resources they need to thrive, and sharing the messages they are passionate about. Data Science Associate Consultant Data Science Associate Consultant (DSA) design, develop and execute high-impact analytics solutions for large, complex, structured and unstructured data sets (including big data) to help clients make better fact-based decisions. What You ll D o : Stay updated with the latest developments in Deep Learning and AI research. Implement and fine-tune advanced models in deep learning, with a focus on Transformers for sequential data (e.g., time series, text, and vision). Apply knowledge of large language model (LLM) fine-tuning and alignment approaches to improve model performance. Utilize active learning techniques to train models more efficiently and effectively. Collaborate with cross-functional teams to develop and deploy machine learning models in production. Contribute to research projects aimed at advancing the field of AI and machine learning. Develop advanced algorithms that solve problems of large dimensionality in a computationally efficient and statistically effective manner Collaborate with clients and other ZS stakeholders to effectively integrate and communicate analysis findings Contribute to the evaluation of emerging datasets and technologies that may contribute to our analytical platform Owning the development of select assets/accelerators for efficient scaling of capability, with a focus on leveraging generative AI and deep learning methodologies. Integrate engineering principles into data science workflows, optimizing algorithms for performance, scalability, and maintainability. Collaborate with the engineering team to implement and deploy data science solutions into production, ensuring seamless integration with existing systems. Utilize software engineering best practices for version control, code review, testing, and documentation to maintain high-quality, reliable, and reproducible data science workflows. What You ll Bring : Bachelors or masters degree or PhD in Computer Science (or Statistics) from a premier institute, and strong academic performance with analytic and quantitative coursework is required 4-7 years of Data Science experience, including proficiency in generative AI, deep learning, statistical techniques, and engineering integration for scalable solutions Knowledge of programming (e.g. Java/Python/R); Knowledge of big data/advanced analytics concepts and algorithms (e.g. text mining, social listening, recommender systems, predictive modeling, etc.) Excellent oral and written communication skills. Strong attention to detail, with a research-focused mindset; Excellent critical thinking and problem-solving skills; High motivation, good work ethic and maturity. Exposure to Generative AI and its usage to solve problems is a plus. Perks Benefits: ZS offers a comprehensive total rewards package including health and well-being, financial planning, annual leave, personal growth and professional development. Our robust skills development programs, multiple career progression options and internal mobility paths and collaborative culture empowers you to thrive as an individual and global team member. We are committed to giving our employees a flexible and connected way of working. A flexible and connected ZS allows us to combine work from home and on-site presence at clients/ZS offices for the majority of our week. The magic of ZS culture and innovation thrives in both planned and spontaneous face-to-face connections. Travel: Travel is a requirement at ZS for client facing ZSers; business needs of your project and client are the priority. While some projects may be local, all client-facing ZSers should be prepared to travel as needed. Travel provides opportunities to strengthen client relationships, gain diverse experiences, and enhance professional growth by working in different environments and cultures. Considering applying At ZS, were building a diverse and inclusive company where people bring their passions to inspire life-changing impact and deliver better outcomes for all. We are most interested in finding the best candidate for the job and recognize the value that candidates with all backgrounds, including non-traditional ones, bring. If you are interested in joining us, we encourage you to apply even if you dont meet 100% of the requirements listed above. ZS is an equal opportunity employer and is committed to providing equal employment and advancement opportunities without regard to any class protected by applicable law. To Complete Your Application: Candidates must possess or be able to obtain work authorization for their intended country of employment.An on-line application, including a full set of transcripts (official or unofficial), is required to be considered.

Skill Set AI,Machine Learning,NLP,Gen AI Job Summary: We are looking for a passionate and results-driven Data Scientist with 3"5 years of hands-on experience in AI, Machine Learning, Deep Learning, NLP, and Generative AI to join our dynamic team. You will work on cutting-edge projects, transforming data into meaningful insights and AI-driven solutions that support strategic business decisions and product innovation. Key Responsibilities: Design, build, and deploy machine learning models and AI solutions for real-world business problems Work with Natural Language Processing (NLP) techniques to extract insights from unstructured data (text, voice, documents). Research and apply Generative AI (Gen AI) models and frameworks (e.g., LLMs, transformers) to solve customer and product-specific use cases. Collaborate closely with cross-functional teams including product, engineering, and business to gather requirements and deliver impactful data solutions. Interpret model results, evaluate performance metrics, and refine solutions for improved outcomes. Stay updated with the latest advancements in AI/ML and bring in innovative ideas and best practices to the team. Required Skills: Strong proficiency in Python and ML libraries Knowledge with Natural Language Processing (NLP) techniques and tools s Experience working on Generative AI models- including Large Language Models (LLMs), prompt engineering, or fine-tuning. Strong foundation in statistics, data analysis, and machine learning algorithms. Familiarity with data handling using Pandas, NumPy, and data visualization tools like Matplotlib / Seaborn / Power BI.

Additional Parameters: - Experience in retail or e-commerce industry preferred - Knowledge of machine learning and predictive modeling - Strong programming skills in languages such as Python, R, or SQL - Experience with data visualization tools such as Tableau or Power BI - Ability to work in a fast-paced and dynamic environment - Excellent communication and collaboration skills Job Summary: As a Data Scientist at Titan, you will be responsible for analyzing large datasets to identify trends and patterns that will drive business decisions. You will work closely with cross-functional teams to develop and implement data-driven solutions that will improve customer experience and increase sales. This role requires a strong understanding of data analysis techniques and the ability to translate complex data into actionable insights. Key Responsibilities: - Collect, clean, and analyze large datasets using statistical methods - Develop and implement predictive models to identify customer behavior and trends - Collaborate with cross-functional teams to identify business problems and provide data-driven solutions - Communicate complex data and insights to non-technical stakeholders - Use data visualization tools to create reports and dashboards for business leaders - Stay updated with industry trends and advancements in data science techniques - Mentor and guide junior data analysts in the team Qualifications: - Bachelor's or Master's degree in Data Science, Computer Science, Statistics, or a related field - Minimum of 3 years of experience in a data science role - Experience in retail or e-commerce industry preferred - Strong programming skills in languages such as Python, R, or SQL - Knowledge of machine learning and predictive modeling techniques - Experience with data visualization tools such as Tableau or Power BI - Excellent communication and collaboration skills - Ability to work in a fast-paced and dynamic environment Join our team at Titan and be a part of a dynamic and innovative company that values data-driven decision making. Apply now and help us shape the future of retail through data science! Work Experience Programming & Data: Python (Advanced), SQL Deep Learning: PyTorch, Transformer architectures, Computer Vision (CNNs, object detection) GenAI: OpenAI SDK Machine Learning Frameworks: xgBoost, LightGBM, scikit-learn GenAI Engineering: Retrieval-Augmented Generation (RAG), vector databases Cloud (Preferred): AWS (SageMaker, S3, Glue) Other: Prompt engineering, model performance benchmarking, deployment best practices

Job Description: Job Description Lead Machine Learning Engineer / ML Architect Role Overview We are seeking a highly skilled Lead Machine Learning Engineer / Architect with expertise in end-to-end ML pipeline design, model training, optimization, and large-scale deployment. The ideal candidate will bring 10+ years of experience, strong knowledge of ML frameworks (scikit-learn, PyTorch, TensorFlow, XGBoost, LightGBM, CatBoost), and proven expertise in MLOps tools (MLflow, Kubeflow, Azure ML Pipelines). This role requires a balance of hands-on model engineering and technical leadership to deliver production-ready ML systems. Key Responsibilities Machine Learning & Model Development Build, train, and optimize models using scikit-learn, PyTorch, TensorFlow, Keras, XGBoost, LightGBM, and CatBoost. Develop and test features using pandas, NumPy, and PySpark for large-scale datasets. Apply advanced techniques for hyperparameter tuning, model interpretability, and ensemble methods. Model Deployment & Serving Deploy models to production using TensorFlow Serving, TorchServe, and ONNX/TensorRT for optimized inference. Design scalable APIs and endpoints for real-time and batch prediction services. Implement containerized deployments (Docker, Kubernetes) for portability and scalability. MLOps & Automation Build and manage ML pipelines using MLflow, Kubeflow, and Azure ML Pipelines. Implement model versioning, tracking, and experiment management. Establish CI/CD workflows for ML models, ensuring reproducibility and continuous improvement. Optimization & Performance Optimize models for latency, throughput, and cost efficiency in production environments. Use ONNX/TensorRT for inference acceleration and cross-platform model deployment. Monitor deployed models for drift, bias, and performance degradation. Leadership & Collaboration Lead and mentor ML engineers and data scientists on best practices in ML and MLOps. Collaborate with data engineering teams to ensure seamless integration with pipelines. Partner with product managers and business stakeholders to design scalable AI-driven solutions. Required Skills & Qualifications 10+ years of IT experience with hands-on ML/AI engineering. Expertise in: Core ML frameworks: pandas, NumPy, scikit-learn, PySpark Advanced algorithms/libraries: XGBoost, LightGBM, CatBoost Deep learning: TensorFlow, Keras, PyTorch Model optimization & serving: ONNX, TensorRT, TensorFlow Serving, TorchServe Strong knowledge of MLOps tools: MLflow, Kubeflow, Azure ML Pipelines. Hands-on with cloud environments (Azure, AWS, GCP) and container orchestration (Kubernetes). Proven experience in leading ML projects, mentoring teams, and deploying production AI systems. Preferred Skills Knowledge of distributed training strategies (Horovod, DDP). Familiarity with feature stores (Feast, Tecton, Databricks Feature Store). Experience with responsible AI frameworks (explainability, fairness, bias mitigation). Exposure to multi-model orchestration and hybrid cloud ML architectures. At DXC Technology, we believe strong connections and community are key to our success. Our work model prioritizes in-person collaboration while offering flexibility to support wellbeing, productivity, individual work styles, and life circumstances. We re committed to fostering an inclusive environment where everyone can thrive. Recruitment fraud is a scheme in which fictitious job opportunities are offered to job seekers typically through online services, such as false websites, or through unsolicited emails claiming to be from the company. These emails may request recipients to provide personal information or to make payments as part of their illegitimate recruiting process. DXC does not make offers of employment via social media networks and DXC never asks for any money or payments from applicants at any point in the recruitment process, nor ask a job seeker to purchase IT or other equipment on our behalf. More information on employment scams is available here .

Job Description Job Description - We are looking for a highly motivated Research Scientist Computer Vision to join our advanced research team at Bosch s Corporate Research and Technology Center India (CR/RTC-IN), Bangalore. This role focuses on scientific innovation and foundational research in areas such as object recognition, visual perception for autonomous systems, scene understanding, and robust visual AI for real-world industrial and mobility environments. The ideal candidate will develop novel vision algorithms and contribute to Bosch s global technology roadmap through publications, prototypes, and collaboration with academic and business stakeholders. Key Responsibilities - Conduct original research in: - Image and video understanding (object detection, tracking, segmentation) - Scene understanding, 3D perception, and sensor fusion - Multimodal visual grounding (vision-language models, visual question answering) - Lightweight vision models for real-time and embedded applications Develop and maintain reproducible research pipelines for experimentation Collaborate with Bosch units globally to align research with mobility and manufacturing use cases Publish results in top-tier conferences (CVPR, ICCV, ECCV, NeurIPS, ICRA, IROS) Contribute to patents and strategic IP in the area of computer vision and perception Mentor interns, junior researchers, and actively contribute to the internal AI community Qualifications Educational qualification: Ph.D. or Master s in Computer Science / Electrical Engineering / AI / Vision or equivalent Experience :

Role Description We are seeking a Data Science Engineer to contribute to the development of intelligent, autonomous AI systems The ideal candidate will have a strong background in agentic AI, LLMs, SLMs, vector DB, and knowledge graphs. This role involves deploying AI solutions that leverage Retrieval-Augmented Generation (RAG) Multi-agent frameworks Hybrid search techniques to enhance enterprise applications. Your key responsibilities Design & Develop Agentic AI Applications:Utilise frameworks like LangChain, CrewAI, and AutoGen to build autonomous agents capable of complex task execution. Implement RAG Pipelines: Integrate LLMs with vector databases (e.g., Milvus, FAISS) and knowledge graphs (e.g., Neo4j) to create dynamic, context-aware retrieval systems. Fine-Tune Language Models:Customise LLMs (e.g., Gemini, chatgpt, Llama) and SLMs (e.g., Spacy, NLTK) using domain-specific data to improve performance and relevance in specialised applications. NER Models: Train OCR and NLP leveraged models to parse domain-specific details from documents (e.g., DocAI, Azure AI DIS, AWS IDP) Develop Knowledge Graphs: Construct and manage knowledge graphs to represent and query complex relationships within data, enhancing AI interpretability and reasoning. Collaborate Cross-Functionally:Work with data engineers, ML researchers, and product teams to align AI solutions with business objectives and technical requirements. Optimise AI Workflows:Employ MLOps practices to ensure scalable, maintainable, and efficient AI model deployment and monitoring. Your skills and experience 4+ years of professional experience in AI/ML development, with a focus on agentic AI systems. Proficient in Python, Python API frameworks, SQL and familiar with AI/ML frameworks such as TensorFlow or PyTorch. Experience in deploying AI models on cloud platforms (e.g., GCP, AWS). Experience with LLMs (e.g., GPT-4), SLMs (Spacy), and prompt engineering. Understanding of semantic technologies, ontologies, and RDF/SPARQL. Familiarity with MLOps tools and practices for continuous integration and deployment. Skilled in building and querying knowledge graphs using tools like Neo4j. Hands-on experience with vector databases and embedding techniques. Experience in developing AI solutions for specific industries such as healthcare, finance, or e-commerce.

Join us as a Software Engineer This is an opportunity for a technically minded individual to join us as a Software Engineer Youll be designing, producing, testing and implementing working software, working across the lifecycle of the system Hone your existing software engineering skills and advance your career in this critical role We're offering this role at vice president level What you'll do Working in a permanent feature team, youll be developing knowledge of aspects of the associated platform across the disciplines of business, applications, data and infrastructure. Youll also be liaising with principal engineers, architects in the domain and other key stakeholders to understand how the platform works and how it supports business objectives. Youll also be: Applying Agile methods to the development of software on the backlog Producing resilient and long-lived software and acting flexibly to cope with future needs Delivering intentional architecture and formulating emergent design through innovative ideas, experimentation and prototyping Designing and developing software with a focus on the automation of build, test and deployment activities, using executable patterns The skills you'll need Were looking for someone with twelve plus years of experience in context-aware prompts to drive optimal performance from LLMs for summarization, reasoning, extraction, and classification tasks. You'll also have h ands-on experience in designing intelligent retrieval pipelines that combine vector databases like FAISS with semantic search mechanisms. You'll also have experience of clustering techniques and classification models andhands-on with Amazon SageMaker for building, training, and deploying scalable machine learning models in cloud. Additionally, youll demonstrate: Extensive hands-on experience of frameworks and libraries and Proficient in scikit-learn and SciPy for ML algorithms and hands-on experience with in python with PyTorch Expereince in developing intelligent agents capable of reasoning, planning, and tool use by leveraging frameworks such as ReAct, LangChain/Langgraph Experience of Hugging Face Transformers for leveraging pre-trained and foundational LLMs (like BERT, RoBERTa) Strong stakeholder management skills and communication skills with the ability to communicate complex technical concepts in a simple way

Join us as a Data Science & Business Intelligence Platform Lead Were looking for someone who can influence and have organisational skills to lead us toagreed targets Are you ready to take on a role where your influence and organizational skills can truly shine? Join our dynamic Data Technology Platforms team within Data & Analytics and lead us to achieve our ambitious targets. Youll be delivering, owning and maintaining the platforms operational stability and performance technology We're offering this role at director level What you'll do In this exciting role, you'll own the remediation of technical issues and drive the simplification and improvement of our platform architecture and technology. You'll build the platform roadmap, collaborating with centres of excellence to ensure you have the right resources. Your expertise will optimize business solutions for our customers' needs and align with our overall technology strategy. On top of this, you'll . Youll be able to really make this role your own, allowing excellent exposure for you and your work. Youll also be: Taking ownership of the financial, commercial and flow performance of the platform Managing the platform risk culture, making sure that teams effectively collaborate to mitigate risk Delivering the regulatory reporting and managing the relevant budgets provided Leading strategic initiatives, manage high-performing teams, and deliver scalable AI solutions in a regulated financial environment The skills you'll need In this role, youll need to have in-depth domain or platform product knowledge and experience. You should have at least 18 years of experience with considerable AI skills, including experience with machine learning, natural language processing, and AI-driven analytics and teams. Youll also be expected to have: Knowledge and experience with AWS, Azure, and Google Cloud Provider Proven experience with GenAI (LLMs, prompt engineering) Business intelligence knowledge and experience of working in banking/financial insititution Strong AWS cloud and ML infrastructure skills Strong leadership skills, including Agile and servant leadership experience Architecture, design, and engineering skills relevant to the specific platform Experience working and running high-performance, large-scale Agile and non-Agile programs, projects, and teams

Were hiring Data Scientists (4+ yrs exp) to build & deploy ML solutions-NLP, CV, predictive models & more. Strong Python & DL skills needed. For full JD & to apply, visit inteligenai.com/careers.

Job Overview: We are seeking a highly skilled and motivated Module Lead Data Science with 57 years of experience in AI, Machine Learning, Deep Learning , NLP, and Generative AI. The ideal candidate will be responsible for designing, developing, and leading advanced AI/ML solutions while mentoring a small team of data scientists and engineers. You will play a pivotal role in transforming business challenges into AI-driven solutions. Key Responsibilities: Lead the design and development of AI/ML models and solutions tailored to complex business problems. Own project modules end-to-endfrom problem definition, data exploration, model development, evaluation, to deployment. Apply advanced Natural Language Processing (NLP) techniques to derive insights from unstructured data. Drive initiatives involving Generative AI and LLMs for real-time, intelligent applications. Guide and mentor junior data scientists and collaborate with cross-functional teams including product managers, engineers, and business stakeholders. Ensure code quality, model performance, and documentation standards are met throughout the project lifecycle. Stay ahead of emerging AI/ML technologies and contribute to innovation and technical excellence within the team. Required Skills: Strong expertise in Python and machine learning frameworks such as scikit-learn, TensorFlow, PyTorch. Solid experience in NLP (e.g., text classification, sentiment analysis, topic modeling) using tools like spaCy, Hugging Face, NLTK. Hands-on experience with Generative AI, including LLMs, prompt engineering, and fine-tuning. Proficient in building, training, and deploying ML models at scale. Experience in handling structured and unstructured datasets; strong command of SQL, Pandas, and NumPy. Familiarity with cloud platforms (AWS, Azure, or GCP) for scalable model development and deployment. Excellent problem-solving skills, business acumen, and communication abilities.

Joining : Immediately. Job Role Responsibility Description :We are looking for passionate, Strong experience with an entrepreneur mindset to join us as Hardcore Full Stack Data Scientist end-to-end single-handed multi-hat role who is already working in applied AI in ML, deep Learning, ANN, and CNN platform specifically working as single-handed doers or in a small Data Science Team with full end to end ownership of Data Science work commitment delivery as Data Scientist working in any reputed AI Data Science is driven Tech startup preferably in Healthcare.Required Skillsets :- Needs to have statistical, mathematical, and predictive modeling as well as business strategy skills to build the algorithms necessary to ask the right questions and find the right answers.- Need to be able to communicate their findings, orally and visually.- Need to understand how the products are developed and even more important, as big data touches the privacy of consumers, they need to have a set of ethical responsibilities.-- Need to have a natural desire to go beneath the surface of a problem.- Confident and self-secure as they more often than not will have to deal with situations where there is a lot of unknown.- Good knowledge & experience in Artificial Neural Network ( ANN ), AI conversational Chatbot & Needs to be able to write the required Algorithm and coding programming.- Preferably in different programming languages such as Python, Tensor Flow, Keras, AWS (ML and DL), Numpy, and Pytorch.In addition the need to be familiar with disciplines as follows :- Natural Language Processing, Machine learning, Conceptual modeling, Statistical analysis, Predictive Modeling, and Hypothesis testing.Data scientists should have at least some of the following capabilities :- Cleaning data, formatting data, Having the ability to query databases & perform statistical analysis, building AI Data Modelling, validating the AI Model, and deployment.- Being able to develop or program databases.- Having a good understanding of design & architecture principles. Qualification : B.Tech / M.Tech in CSE / Electrical / Electronics & Communication/ Maths & Computing /Statistics /BioTech/BioStat / Clinical Engineering in Data Science / Machine Learning from Top-rated Tech University / Top rated IIT /IIIT. Mandatory Requirement :Experience :- Post last qualification of at least 0 to 7 Years of strong experience exclusive in real Industry Projects in applied AI ML & Deep Learning Data Science in an early-stage AI Health startup at the role and designation as a single-handed full-stack Principal Data Scientist / Sr. Data Scientist.- Hardcore in ANN /Deep Learning /Machine Learning/NLP with at least 2-20 good Applied AI-oriented Applied Research Projects & applications with hardcore experience working on ANN, CNN, RNN, and deep learning in Digital Health startups to solve specific complex problems.

Job type : CONTRACT Required Skills : - 10+ years of experience in building highly scalable software systems/platforms. - Strong proficiency in building software systems in the cloud and/or Kubernetes/docker. - Experience building elegant technical architectures that solve complex customer problems. - Strong hands-on experience in one or more object-oriented programming languages, preferably Python. - Solid experience in API development and API lifecycle management - Strong expertise in data persistence using SQL databases, NoSQL databases, SQL and others. - Experience in one or more areas: Generative Al architectures, ML models, Deep Learning models, Transformer based models. - Proven ability to mentor team members in designing, developing, debugging complex software stacks and to develop their technical capabilities. - Experience with the full software lifecycle in highly agile and ambiguous environments - Excellent interpersonal and communication skills. - Ability to support/resolve production customer escalations with excellent debugging and problem-solving skills Preferred Skills : - Strong expertise in architecting and building scalable, cloud native software products, using cloud APIs, in one or more public clouds, preferably GCP, utilizing serverless, SQL and NoSQL databases, observability, messaging (pub/sub), API services, IAM, OAuth, OCR, Cloud storage and more. - Good understanding of web technologies, such as JavaScript, and web frameworks such as React, Angular or others. - Experience with IAC, preferably terraform.

Required Skills : - 10+ years of experience in building highly scalable software systems/platforms. - Strong proficiency in building software systems in the cloud and/or Kubernetes/docker. - Experience building elegant technical architectures that solve complex customer problems. - Strong hands-on experience in one or more object-oriented programming languages, preferably Python. - Solid experience in API development and API lifecycle management - Strong expertise in data persistence using SQL databases, NoSQL databases, SQL and others. - Experience in one or more areas: Generative Al architectures, ML models, Deep Learning models, Transformer based models. - Proven ability to mentor team members in designing, developing, debugging complex software stacks and to develop their technical capabilities. - Experience with the full software lifecycle in highly agile and ambiguous environments - Excellent interpersonal and communication skills. - Ability to support/resolve production customer escalations with excellent debugging and problem-solving skills Preferred Skills : - Strong expertise in architecting and building scalable, cloud native software products, using cloud APIs, in one or more public clouds, preferably GCP, utilizing serverless, SQL and NoSQL databases, observability, messaging (pub/sub), API services, IAM, OAuth, OCR, Cloud storage and more. - Good understanding of web technologies, such as JavaScript, and web frameworks such as React, Angular or others. - Experience with IAC, preferably terraform.

Job Role Responsibility Description : We are looking for passionate, Strong experience with an entrepreneur mindset to join us as Hardcore Full Stack Data Scientist end-to-end single-handed multi-hat role who is already working in applied AI in ML, deep Learning, ANN, and CNN platform specifically working as single-handed doers or in a small Data Science Team with full end to end ownership of Data Science work commitment delivery as Data Scientist working in any reputed AI Data Science is driven Tech startup preferably in Healthcare. Required Skillsets : - Needs to have statistical, mathematical, and predictive modeling as well as business strategy skills to build the algorithms necessary to ask the right questions and find the right answers. - Need to be able to communicate their findings, orally and visually. - Need to understand how the products are developed and even more important, as big data touches the privacy of consumers, they need to have a set of ethical responsibilities.- - Need to have a natural desire to go beneath the surface of a problem. - Confident and self-secure as they more often than not will have to deal with situations where there is a lot of unknown. - Good knowledge & experience in Artificial Neural Network ( ANN ), AI conversational Chatbot & Needs to be able to write the required Algorithm and coding programming. - Preferably in different programming languages such as Python, Tensor Flow, Keras, AWS (ML and DL), Numpy, and Pytorch. In addition the need to be familiar with disciplines as follows : - Natural Language Processing, Machine learning, Conceptual modeling, Statistical analysis, Predictive Modeling, and Hypothesis testing. Data scientists should have at least some of the following capabilities : - Cleaning data, formatting data, Having the ability to query databases & perform statistical analysis, building AI Data Modelling, validating the AI Model, and deployment. - Being able to develop or program databases. - Having a good understanding of design & architecture principles. Qualification : B.Tech / M.Tech in CSE / Electrical / Electronics & Communication/ Maths & Computing /Statistics /BioTech/BioStat / Clinical Engineering in Data Science / Machine Learning from Top-rated Tech University / Top rated IIT /IIIT. Mandatory Requirement : Experience : - Post last qualification of at least 0 to 7 Years of strong experience exclusive in real Industry Projects in applied AI ML & Deep Learning Data Science in an early-stage AI Health startup at the role and designation as a single-handed full-stack Principal Data Scientist / Sr. Data Scientist. - Hardcore in ANN /Deep Learning /Machine Learning/NLP with at least 2-20 good Applied AI-oriented Applied Research Projects & applications with hardcore experience working on ANN, CNN, RNN, and deep learning in Digital Health startups to solve specific complex problems.

Project description We are looking for a skilled Document AI / NLP Engineer to develop intelligent systems that extract meaningful data from documents such as PDFs, scanned images, and forms. In this role, you will build document processing pipelines using OCR and NLP technologies, fine-tune ML models for tasks like entity extraction and classification, and integrate those solutions into scalable cloud-based applications. You will collaborate with cross-functional teams to deliver high-performance, production-ready pipelines and stay up to date with advancements in the document understanding and machine learning space. Responsibilities Design, build, and optimize document parsing pipelines using tools like Amazon Textract, Azure Form Recognizer, or Google Document AI. Perform data preprocessing, labeling, and annotation for training machine learning and NLP models. Fine-tune or train models for tasks such as Named Entity Recognition (NER), text classification, and layout understanding using PyTorch, TensorFlow, or HuggingFace Transformers. Integrate document intelligence capabilities into larger workflows and applications using REST APIs, microservices, and cloud components (e.g., AWS Lambda, S3, SageMaker). Evaluate model and OCR accuracy, applying post-processing techniques or heuristics to improve precision and recall. Collaborate with data engineers, DevOps, and product teams to ensure solutions are robust, scalable, and meet business KPIs. Monitor, debug, and continuously enhance deployed document AI solutions. Maintain up-to-date knowledge of industry trends in OCR, Document AI, NLP, and machine learning. Skills Must have 4-5 years of hands-on experience in machine learning, document AI, or NLP-focused roles. Strong expertise in OCR tools and frameworks, especially Amazon Textract, Azure Form Recognizer, Google Document AI, or open-source tools like Tesseract, LayoutLM, or PaddleOCR. Solid programming skills in Python and familiarity with ML/NLP librariesscikit-learn, spaCy, transformers, PyTorch, TensorFlow, etc. Experience working with structured and unstructured data formats, including PDF, images, JSON, and XML. Hands-on experience with REST APIs, microservices, and integrating ML models into production pipelines. Working knowledge of cloud platforms, especially AWS (S3, Lambda, SageMaker) or their equivalents. Understanding of NLP techniques such as NER, text classification, and language modeling. Strong debugging, problem-solving, and analytical skills. Clear verbal and written communication skills for technical and cross-functional collaboration. Nice to have N/A

About your role You will be expected to take a leading role in developing the Data Science and Advanced Analytics solutions for our business. This will involve: Engaging with the key stakeholders to understand Fidelitys sales, marketing, client services and propositions context Implement advanced analytics solutions on On-Premises/Cloud platforms, develop proof-of-concepts and engage with internal and external ecosystem to progress the proof of concepts to production. Engaging and collaborating with different other internal teams like Data engineering, DevOps, technology team etc for development of new tools, capabilities, and solutions. Maximize Adoption of Cloud Based advanced analytics solutions: Build out sandbox analytics environments using Snowflake, AWS, Adobe, Salesforce. About you Key Responsibilities Developing and Delivering Data Science solutions for business (40%) Partner with internal (FIL teams) & external ecosystem to design and deliver advanced analytics enabled Data Science solutions Create advanced analytics solution on quantitative and text data using Artificial Intelligence, Machine Learning and NLP techniques. Create compelling visualisations that enable the smooth consumption of predictions and insights for customer benefit . Stakeholder Management (30%) Works with channel heads/stakeholders and other sponsors understand the business problem and translate it into appropriate analytics solution. Engages with key stakeholders for smooth execution, delivery, and implementation of solutions Adoption of Cloud enabled Data Science solutions: (20%) Maximize Adoption of Cloud Based advanced analytics solution Build out sandbox analytics environments using Snowflake, AWS, Adobe, Salesforce Deploy solutions in productions while adhering to best practices involving Model Explainability, MLOps, Feature Stores, Model Management, Responsible AI etc Collaboration and Ownership (10%) Sharing of knowledge, best practices with the team including coaching or training in some of deep learning/machine learning methodologies. Provides mentoring, coaching, and consulting advice and guidance to staff, e.g. analytic methodologies, data recommendations Takes complete independent ownership of the projects and the initiatives in the team with the minimal support Experience and Qualifications Required Qualifications: Engineer from IIT/Masters in field related to Data Science/Economics/Mathematics (Tie1 Institutions like ISI, Delhi School of Economics)/M.B.A from tier 1 institutions Must have Skills & Experience Required: Overall, 8+ years of experience in Data Science and Analytics 5+ years of hands-on experience in - Statistical ModellingMachine Learning Techniques/Natural Language Processing/Deep Learning 5+ years of experience in Python/Machine Learning/Deep Learning Excellent problem-solving skills Should be able to run analytics applications such as Python, SAS and interpret statistical results Implementation of models with clear measurable outcomes Good to have Skills & Experience Required: Ability to engage in discussion with senior stakeholders on defining business problems, designing analyses projects, and articulating analytical insights to stakeholders. Experience on SPARK/Hadoop/Big Data Platforms is a plus Experience with unstructured data and big data Experience with secondary data and knowledge of primary market research is a plus. Ability to independently own and manage the projects with minimal support. Excellent analytical skills and a strong sense for structure and logic Ability to develop, test and validate hypotheses.

Job Overview: We are seeking an experienced and visionary Technical Lead Data Science to lead and drive AI/ML solution delivery across complex and large-scale business problems. The ideal candidate will have deep hands-on expertise in AI, Machine Learning, Deep Learning, NLP, and Generative AI (Gen AI), coupled with a strong leadership mindset to mentor teams, architect scalable solutions, and influence key stakeholders. Key Responsibilities: Lead the architecture, development, and deployment of advanced AI/ML/NLP/Gen AI models and solutions. Work closely with business stakeholders to understand use cases, translate them into technical solutions, and drive end-to-end implementation. Design and build scalable and production-grade machine learning systems, ensuring high performance, reliability, and efficiency. Apply Natural Language Processing (NLP) and Generative AI (LLMs, transformers, prompt engineering) for innovative and high-impact business applications. Mentor and lead a team of data scientists and ML engineers, ensuring code quality, knowledge sharing, and best practice adoption. Drive technical decision-making, model governance, risk mitigation, and continuous improvement. Collaborate with cross-functional teams across data engineering, product, and DevOps to ensure seamless integration and delivery. Required Skills: Strong programming skills in Python and experience with key libraries such as TensorFlow, PyTorch, scikit-learn, Hugging Face Transformers. Deep expertise in Machine Learning, NLP, and Generative AI, with proven success in implementing real-world solutions. Hands-on experience with cloud platforms like AWS, Azure, or GCP for model training, deployment, and scaling. Solid understanding of data structures, algorithms, and MLOps practices. Experience in leading medium to large AI/ML teams and delivering high-visibility projects. Strong communication and stakeholder management skills, with the ability to influence and present to senior leadership. Preferred Skills: Exposure to end-to-end ML lifecycle including data prep, model monitoring, CI/CD pipelines, and model interpretability tools. Experience in product-oriented or consulting organizations is a plus. Certifications in AI/ML or cloud technologies (AWS/GCP/Azure) are advantageous.