2504 Deep Learning Jobs - Page 17

You will play a crucial role in enhancing the Analytics capabilities for our businesses. Your responsibilities will include engaging with key stakeholders to comprehend Fidelity's sales, marketing, client services, and propositions context. You will collaborate with internal teams such as the data support team and technology team to develop new tools, capabilities, and solutions. Additionally, you will work closely with IS Operations to expedite the development and sharing of customized data sets. Maximizing the adoption of Cloud-Based Data Management Services will be a significant part of your role. This involves setting up sandbox analytics environments using platforms like Snowflake, AWS, Adobe, and Salesforce. You will also support data visualization and data science applications to enhance business operations. In terms of stakeholder management, you will work with key stakeholders to understand business problems and translate them into suitable analytics solutions. You are expected to facilitate smooth execution, delivery, and implementation of these solutions through effective engagement with stakeholders. Your role will also involve collaborating with the team to share knowledge and best practices, including coaching on deep learning and machine learning methodologies. Taking independent ownership of projects and initiatives within the team is crucial, demonstrating leadership and accountability. Furthermore, you will be responsible for developing and evaluating tools, methodologies, or infrastructure to address long-term business challenges. This may involve enhancing modelling software, methodologies, data requirements, and optimization environments to elevate the team's capabilities. To excel in this role, you should possess 5 to 8 years of overall experience in Analytics, with at least 4 years of experience in SQL, Python, open-source Machine Learning Libraries, and Deep Learning. Experience working in an AWS Environment, preferably using Snowflake, is preferred. Proficiency in analytics applications such as Python, SAS, SQL, and interpreting statistical results is necessary. Knowledge of SPARK, Hadoop, and Big Data Platforms will be advantageous.,

We are looking for a highly experienced and dynamic Lead Data Scientist to join our Gen AI team in Kolkata. You should have 10-12 years of hands-on experience in the Data Analytics Industry, with a successful track record of leading and delivering innovative AI solutions. As the Lead Data Scientist, you will be responsible for steering the strategic direction, ensuring technical excellence, and overall success of our data science initiatives. This role presents a unique opportunity to influence the future of AI at Adani while leading a team of talented data scientists. With 10 years of experience in Data Analytics, NLP & Text Analytics and at least 3 years of experience in GenAI & LLM, you should have demonstrable expertise in leading and delivering AI solutions. Your responsibilities will include leading and mentoring a team of data scientists, defining and driving the strategic direction of the Gen AI practice, collaborating with cross-functional teams, developing cutting-edge AI algorithms, and deploying scalable AI solutions that drive operational efficiency and business value. You should possess a Bachelors, Masters, or PhD in Computer Science, Statistics, Mathematics, or a related field, along with relevant certifications in data science, machine learning, or artificial intelligence. Exceptional leadership and team management abilities, strong problem-solving skills, excellent communication, and stakeholder management skills are essential for this role. Furthermore, you should have advanced proficiency in Python, R, or other relevant programming languages, deep understanding of machine learning, deep learning, and natural language processing techniques, experience with big data technologies, and expertise in model deployment and management. If you are passionate about leading high-impact data science initiatives and contributing to the growth of the organization, this Lead Data Scientist role at Adani offers an exciting opportunity to shape the future of AI in a collaborative environment. Join our team and help us drive innovation and make a meaningful impact.,

You will be part of a dynamic team at Intellinet Systems, where you will have the opportunity to contribute to groundbreaking solutions from vision to value. You will thrive in a collaborative environment that fosters innovation, creativity, and community engagement. With a minimum of 2-3 years of experience and a graduate degree, you will join us at our Gurgaon, Haryana office for this exciting opportunity. As an AI Developer at Intellinet Systems, your responsibilities will include designing and developing AI models and algorithms to tackle complex business problems. You will utilize machine learning and deep learning techniques to extract insights from large datasets and work closely with cross-functional teams to align AI solutions with business requirements. Data preprocessing, model training, optimization, and deployment into production environments will be key aspects of your role. To excel in this position, you should hold a Bachelor's or Master's degree in computer science, engineering, or a related field and have 2-3 years of industry experience in developing AI solutions. Proficiency in Python programming and familiarity with libraries such as TensorFlow, PyTorch, or scikit-learn are essential. Strong knowledge of machine learning algorithms, statistical analysis, and data preprocessing techniques is required, along with experience in implementing scalable AI solutions with large datasets. Additionally, you should have expertise in data visualization and reporting tools, as well as a good understanding of cloud platforms like AWS, Azure, or Google Cloud for AI deployment. Familiarity with software development practices, version control systems, and problem-solving skills will be beneficial. Effective communication and teamwork abilities are crucial for collaborating with stakeholders and providing technical guidance to junior team members. If you are looking to grow your career in AI development and contribute to innovative solutions, we encourage you to apply for this position by sending your updated CV to hr@intellinetsystem.com with the job code in the subject line. Join us at Intellinet Systems and be a part of our exciting journey towards excellence in AI technology.,

As an AI Developer at our company, you will play a crucial role in the development of advanced AI solutions. Your primary responsibility will involve designing, implementing, and maintaining AI algorithms and models to address complex challenges. Collaboration with data scientists, engineers, and product managers will be essential to deliver innovative AI-driven products. Your key responsibilities will include designing, developing, and deploying various AI algorithms and models encompassing machine learning, deep learning, and natural language processing techniques. Working closely with data scientists, you will also assist in data collection, cleaning, and preparation for AI modeling purposes. Furthermore, you will be tasked with optimizing AI models to enhance their performance and efficiency. It will be imperative for you to stay abreast of the latest advancements in AI and machine learning technologies. Your active participation in the development of AI-powered products and applications will be critical. Additionally, collaborating with cross-functional teams to ensure seamless AI integration across different projects will be part of your routine tasks. To be successful in this role, you should possess a Bachelor's or Master's degree in Computer Science, Artificial Intelligence, Data Science, or a related field. Strong programming skills in Python or other relevant languages are essential. Previous experience with machine learning frameworks like TensorFlow, PyTorch, or Keras is highly advantageous. Knowledge of deep learning architectures such as CNNs, RNNs, and Transformers, along with familiarity with natural language processing techniques like text classification and named entity recognition, will be beneficial. Experience with cloud platforms like AWS, GCP, or Azure will be a plus. Excellent problem-solving and analytical skills are crucial for this position. Your ability to work both independently and collaboratively within a team environment will be instrumental in your success as an AI Developer.,

Job Description As an AI Developer at Microden in Hyderabad, you will be responsible for developing AI models, implementing algorithms, and working on various AI projects. This is a full-time on-site role that requires proficiency in Python, TensorFlow, and other AI frameworks. Additionally, you should have experience in machine learning, deep learning, and natural language processing. To excel in this role, you must possess strong analytical and problem-solving skills. A Bachelor's degree in Computer Science or a related field is required. The ability to work collaboratively in a team environment is also essential.,

Hi, Greetings CGS is hiring 3+ years experienced Data Scientists. Skillset - Python, Ai, ML, LLM, generative Ai, Deep learning, React, Fast API, Cloud No. of positions- 2 Notice period -Immediate to 15 days Location-Chennai (WFO)

Title: AI-Powered Project & Workflow Automation Overview AI-powered project and workflow automation in your marketplace will: Reduce manual effort in managing freelancer tasks and approvals. Improve project efficiency with automated task assignment and AI-driven scheduling. Provide a no-code interface so clients can create custom workflows effortlessly. Skills Required Python PostgreSQL React.js Artificial Intelligence Google Firebase OpenAI AI Development 1. No-Code Workflow Automation Key Features: Custom Workflow Builder (No-Code Drag & Drop) Clients can define custom hiring, task, and approval workflows. Pre-built templates for common workflows (e.g., Freelancer Approval, Payment Processing). Drag-and-drop UI to set conditions, approvals, and triggers. Multi-Step Approval for Freelancers & Tasks Clients can create a multi-step approval process (e.g., Review Approval Contract Sign). AI recommends workflow templates based on industry and job type. AI-Driven Rule-Based Automation AI suggests automation rules based on past hiring patterns. Clients can set conditional rules (e.g., "If Freelancer Score > 85%, Auto-Approve"). Workflow Example: Freelancer Hiring Approval Step-by-step Example: Client posts a job. AI suggests the best-matched freelancers. Client sets up an approval workflow: Step 1: Auto-screen based on AI score. Step 2: Manager approval. Step 3: Auto-send contract. Step 4: Assign to a project. If all conditions are met, freelancer is automatically onboarded and assigned. 2. AI-Driven Task Automation & Scheduling Key Features Auto-Assign Tasks Based on Freelancer Availability & Expertise AI scans freelancer skills, past experience, and workload. AI assigns high-priority tasks to the best-suited freelancer. AI-Generated Project Timelines & Scheduling AI analyzes task complexity & freelancer availability to generate project timelines. AI predicts task completion times based on previous work trends. Sends reminders & deadline alerts to freelancers. Task Prioritization & Urgent Task Handling AI flags urgent tasks and reassigns work if a freelancer is unavailable. Smart auto-rescheduling if a freelancer is overloaded. Workflow Example: AI Task Assignment Step-by-step Example: Client creates a project with multiple tasks. AI scans available freelancers & assigns tasks based on: Skill relevance Availability Performance history AI auto-generates a project timeline with deadlines. Freelancer receives task notifications. AI monitors progress & adjusts deadlines if needed. Regards, Augustin apaul@katalysttech.com

Mandatory Skills:: Machine Learning & Deep Learning Strong understanding of LLM architectures, transformers, and fine-tuning techniques. MLOps & DevOps Experience with CI/CD pipelines, model deployment, and monitoring. Vector Databases Knowledge of storing and retrieving embeddings efficiently. Prompt Engineering Ability to craft effective prompts for optimal model responses. Retrieval-Augmented Generation (RAG) Implementing techniques to enhance LLM outputs with external knowledge. Cloud Platforms Familiarity with AWS, Azure, or GCP for scalable deployments. Containerization & Orchestration Using Docker and Kubernetes for model deployment. Observability & Monitoring Tracking model performance, latency, and drift. Security & Ethics Ensuring responsible AI practices and data privacy. Programming Skills Strong proficiency in Python, SQL, and API development. Prefered Skills : Knowledge of Open-Source LLMs Familiarity with models like LLaMA, Falcon, and Mistral. Fine-Tuning & Optimization Experience with LoRA, quantization, and efficient training techniques. LLM Frameworks Hands-on experience with Hugging Face, LangChain, or OpenAI APIs. Data Engineering Understanding of ETL pipelines and data preprocessing. Microservices Architecture Ability to design scalable AI-powered applications. Explainability & Interpretability Techniques for understanding and debugging LLM outputs. Graph Databases Knowledge of Neo4j or similar technologies for complex data relationships. Collaboration & Communication Ability to work with cross-functional teams and explain technical concepts clearly. Mandatory Skills:: LLM Ops Experience: 3-5 Years

Responsibilities : Serve as expert in Machine Learning, develop framework to build Production grade AI/ML models. Apply AI/ML to accelerate business innovation and solve impactful business problems for our clients. Partner with business and technical stakeholders to translate challenging business problems into state-of-the-art data science solutions. Present results, insights, and recommendations to senior management with an emphasis on the business impact. Build engaging rapport with client leadership through relevant conversations and genuine business recommendations that impact the growth and profitability of the organization. Required Skills: Deep knowledge in AI/ML algorithms e.g. Regression, Classification, Clustering, Time Series, Graph Network, Recommender System, Bayesian modeling, Deep learning, Computer Vision, NLP/NLU, Reinforcement learning, Federated Learning, Meta Learning. Proficient in using some of the following techniques for business problems/projects: Linear & Logistic Regression, Decision Trees, Random Forests, K-nearest neighbors, Support Vector Machines ANOVA, Principal Component Analysis, Gradient Boosted Trees, ANN, CNN, RNN/LSTM. Hands-on in programming languages Python/R, Spark or Scala, SQL. Hands-on in AI/ML frameworks and libraries (e.g. TensorFlow, Keras, PyTorch). Hands-on in Azure cloud AI/ML services. Expert in Statistical Modelling & Algorithms e.g. Hypothesis testing, Sample size estimation, A/B testing. Good knowledge in Mathematical programming - Linear Programming, Mixed Integer Programming etc., Stochastic Modelling - Markov chains, Monte Carlo, Stochastic Simulation, Queuing Models. Some experience with Optimization Solvers (Gurobi, Cplex) and Algebraic Programming Languages(PulP). Experience in deploying and monitoring classical ML models in production, delivering data products to end-users, good knowledge in DevOps/MLOps - CI/CD pipelines. Good to have experience in data processing frameworks e.g. Apache Spark, Hadoop, Databricks.

Meet the Team The Cloud and AI Infrastructure team is a sales team at the cutting edge, helping customers change their business using Cisco technology in the data centre and on cloud. The team works with customers, partners and team members to take customer problems and turn them into business advantage. Your Impact We are seeking a dynamic Account Executive - AI Infrastructure to join our strategic sales team. As an Account Executive, you will lead sales opportunities, discover new opportunities and work closely with our customers and partners in setting a strategic vision for their business. You will understand our customers specific needs and align our sales priorities to those needs. This role requires a deep understanding of Data Centre technology including AI related Infrastructure and have experience in selling data centre infrastructure in a highly competitive environment. You will develop and execute a business development strategy to deliver strong business growth across the business, you will have amazing relationships with technology leaders in the industry and your customers, and you will champion Cisco as an AI Infrastructure leader. Minimum Qualifications 7+ years of technology-related sales or account management experience with a focus on business development and new technology incubation. Experience growing revenue for new innovative technology-based solutions. Experience in understanding business challenges when deploying data centre infrastructure at scale, including AI Infrastructure. Proven track record of working cross-functionally with Sales, Presales and Marketing to develop and launch new data centre infrastructure offers. Preferred Qualifications Bachelors degree or equivalent experience in Business, Computer Science, Engineering, or a related field; advanced degree is a plus. Excellent verbal and written communication skills. Experience working within technology incubate teams to grow market share at an accelerated rate. Sales Experience associated with deep learning, data science and AI Infrastructure. Sales experience with Data Centre relevant technology, such as storage, network, platform, server, security and cloud.

Why would you like to join us? TransOrg Analytics specializes in Data Science, Data Engineering and Generative AI, providing advanced analytics solutions to industry leaders and Fortune 500 companies across India, US, APAC and the Middle East. We leverage data science to streamline, optimize, and accelerate our clients' businesses. Visit at www.transorg.com to know more about us. What do we expect from you? - Analyze & interpret data and communicate results to clients, often with the aid of mathematical/statistical techniques and software. - Data exploration, statistical/ predictive modelling, data analysis and hypothesis testing. Design, development and deployment of Predictive models and frameworks. - Complex statistical concepts are explained in a way that clients can understand and advice on strategy. - Overall data analytics strategy and business development. - Responsible for providing thought leadership and support to the team to develop best in class analytics solutions for clients. - Responsible for managing existing relationships with multiple clients in various industries. - Responsible for working closely with the senior management in developing and implementing strategic plans. Team Development: - Manage a team of data Scientists. Lead team members, including personal development and set work direction. - Lead team members, including personal development and set work direction. - Group development by building expertise in new domains and processes. - Coaching and mentoring team members. - Responsible for productivity, utilization and quality of output of the group. - Development of training modules and imparting training to the group. Project Delivery: - Lead analytics engagements and responsible for delivering the analytics solutions required across multiple clients & projects. - Provide thought leadership in a number of areas, including predictive modeling, customer segmentation, reporting & analysis, data processing and cleansing. - Demonstrate strong functional expertise by providing content leadership on projects. - Hands-on experience in implementing machine-learning algorithms. - Improve existing delivery processes and lead automation where applicable. What are we looking for? - Bachelor's in Computer Science/ Engineering, Statistics, Math or any other relevant degree. - 5-9 years of total experience with at least 3+ yrs. of relevant experience in data science/technical experience. - Experience on multiple modeling techniques -Logistic Regression, Linear Regression, Random Forest, Boosting, Neural Networks etc. - Hands-on experience with Python and SQL is a must. - Experience with data visualization tools like Tableau or Power BI. - Team and client management experience. - Experience of stakeholder management - Experience in working with unstructured data and text analytics. - Must have a passion for data, structured and unstructured. - Should have sound experience in data mining and data analysis. Good presentation skills. -Track record of managing data project delivery including ability to meet deadlines, overcome challenges, manage stakeholder expectations, and produce clear deliverables -Strong problem-solving skills with a keen attention to detail. Ability to think critically and provide data-backed insights. - Excellent communication skills, both verbal and written. -Understanding of Cloud Platforms (e.g. Azure / AWS/GCP) and ability to use them for developing, training and testing deep learning models ( good to have) -Familiarity with cloud-based data warehousing platforms (snowflake) ( good to have)

Role & rJob Title: Senior Machine Learning Engineer Anomaly Detection & Time Series Forecasting Location: Bangalore Department: Engineering – AI/ML Job Overview: Resolve Tech Solutions is seeking an experienced Senior Machine Learning Engineer to drive the development of AI-driven anomaly detection, time series forecasting, and predictive analytics models for our next-generation observability platform. This role will focus on designing, building, and deploying ML models that provide real-time insights, predictive alerts, and intelligent recommendations powered by LLMs. As a key individual contributor, you will work on solving complex challenges in large-scale cloud environments while collaborating with cross-functional teams. Key Responsibilities: Develop Advanced ML Models: Design and implement machine learning models for anomaly detection, time series forecasting, and predictive analytics, ensuring high accuracy and scalability. Anomaly Detection & Root Cause Analysis: Build robust models to detect abnormal patterns in metric data, leveraging statistical methods, deep learning, and AI-driven techniques. Time Series Forecasting: Implement predictive models to forecast metric trends, proactively identifying threshold breaches and alerting users. LLM-Driven Insights: Utilize Large Language Models (LLMs) to analyze historical incidents, correlate anomalies, and provide recommendations by integrating with ITSM platforms like ServiceNow. Cloud & Big Data Integration: Work with large-scale data pipelines, integrating ML models with cloud platforms such as AWS, Azure, and GCP. Feature Engineering & Data Processing: Design and optimize feature extraction and data preprocessing pipelines for real-time and batch processing. Model Deployment & Optimization: Deploy ML models in production environments using MLOps best practices, ensuring efficiency, scalability, and reliability. Performance Monitoring & Continuous Improvement: Establish key performance metrics, monitor model drift, and implement retraining mechanisms for continuous model improvement. Collaboration & Knowledge Sharing: Work closely with product managers, data engineers, and DevOps teams to align ML solutions with business objectives and platform goals. Requirements: Experience: 5+ years of hands-on experience in machine learning, with a strong focus on anomaly detection, time series forecasting, and deep learning. ML & AI Expertise: Proficiency in Python and ML frameworks such as TensorFlow, PyTorch, Scikit-Learn, and XGBoost. Anomaly Detection: Experience with statistical techniques, autoencoders, GANs, or isolation forests for anomaly detection in time series data. Time Series Forecasting: Strong background in models such as ARIMA, Prophet, LSTMs, or Transformers for predictive analytics. LLMs & NLP: Hands-on experience in fine-tuning and integrating LLMs for intelligent insights and automated issue resolution. Cloud & Data Engineering: Familiarity with cloud ML services (AWS SageMaker, Azure ML, GCP Vertex AI) and distributed computing frameworks like Spark. MLOps & Deployment: Experience with CI/CD pipelines, Docker, Kubernetes, and model monitoring in production. Problem-Solving & Analytical Skills: Ability to analyze large datasets, derive insights, and build scalable ML solutions for enterprise applications. Communication & Collaboration: Strong verbal and written communication skills, with the ability to explain ML concepts to non-technical stakeholders. Education: Bachelor’s or Master’s degree in Computer Science, Machine Learning, Data Science, or a related field. Preferred Qualifications: Experience with AIOps, observability, or IT operations analytics. Hands-on experience with reinforcement learning or graph neural networks. Familiarity with Apache Kafka, Flink, or other real-time data processing frameworks. Contributions to open-source ML projects or research publications in anomaly detection and time series analysis. Why Join Us? Opportunity to work on cutting-edge AI/ML solutions for enterprise observability. Collaborative and innovative work environment with top AI/ML talent. Competitive salary, benefits, and career growth opportunities. Exposure to large-scale, cloud-native, and AI-driven technologies. If you are passionate about AI-driven anomaly detection, time series forecasting, and leveraging LLMs for real-world enterprise solutions, we'd love to hear from you!esponsibilities Preferred candidate profile

We are looking for a Machine Learning (ML) Expert to help us create ML/artificial intelligence products. Machine Learning Engineer responsibilities include creating machine learning models and retraining systems. To do this job successfully, you need exceptional skills in statistics, Data Science and programming. Your ultimate goal will be to shape and build efficient self-learning applications. Responsibilities : Designing and developing machine learning and deep learning systems. Running machine learning tests and experiments. Implementing appropriate ML algorithms. Study and transform data science prototypes. Design machine learning systems. Research and implement appropriate ML algorithms and tools. Develop machine learning applications according to requirements. Select appropriate datasets and data representation methods. Run machine learning tests and experiments. Perform statistical analysis and fine-tuning using test results. Train and retrain systems when necessary. Extend existing ML libraries and frameworks. Keep abreast of developments in the field. Requirements Proven experience as a Machine Learning Engineer or similar role. Understanding of data structures, data modeling and software architecture. Deep knowledge of math, probability, statistics and algorithms. Ability to write robust code in Python. Familiarity with machine learning frameworks (like Keras or PyTorch) and libraries (like scikit-learn). Excellent communication skills. Ability to work in a team. Outstanding analytical and problem-solving skills. Bachelors in computer science, Mathematics or similar field; masters degree is a plus.

The purpose of this role is to provide support for the collection, analysis, and dissemination of insights to our clients Job Description: Key responsibilities:Integrates disparate datasets, conducts data preparation for analysesApplies data science methods to provide insights and recommendations to clientsDelivers analytic outcomes based on project timelines and key milestonesMaintains knowledge of new trends in the data science industryDevelops and manages code used for analytics purposesCommunicates findings and insights Location: Pune Brand: Merkle Time Type: Full time Contract Type: Permanent

Spericorn Technology is a global software development firm aiming to impact the world through technology positively. We are curious-minded IT professionals who have been contributing to reputed organizations and open-source projects for many years globally. We welcome you to join our talented team and transform ideas into reality. We are looking forward to candidates who can sustain our organization's quality, commitment, and integrity. We offer services in various cutting-edge technologies, including blockchain and Artificial Intelligence. "A team is a group of people who support each other to achieve great results, and we give utmost importance to teamwork." We are looking for a JUNIOR MACHINE LEARNING ENGINEER who can add more value to our organization. Proven experience as a Machine Learning Engineer for a minimum of 1 year Familiarity with machine learning frameworks and libraries. Understanding of data structures and data modelling. Ability to write robust code in Python, R & JavaScript languages. Fair understanding of data science will be a plus. Knowledge of deep learning frameworks will be a plus. Excellent communication skills Outstanding analytical and problem-solving skills. Designing and developing machine learning and deep learning systems Running machine learning tests and experiments Implementing appropriate ML algorithms Study and transform data science prototypes Perform statistical analysis and fine-tuning using test results Extend existing ML libraries and frameworks

Role Purpose The purpose of this role is to develop minimum viable product (MVP) and comprehensive AI solutions that meet and exceed clients expectations and add value to business. Do Experience: Manage the product/ solution development using the desired AI techniques Lead development and implementation of custom solutions through thoughtful use of modern AI technology Review and evaluate the use cases and decide whether a product can be developed to add business value Create the overall product development strategy and integrating with the larger interfaces Create AI models and framework and implement them to cater to a business problem Draft the desired user Interface and create AI models as per business problem Analyze technology environment and client requirements to define product solutions using AI framework/ architecture Implement the necessary security features as per products requirements Review the used case and see the latest AI that can be used in products development Identify problem areas and perform root cause analysis and provide relevant solutions to the problem Tracks industry and application trends and relates these to planning current and future AI needs Create and delegate work plans to the programming team for product development Interact with Holmes advisory board for knowledge sharing and best practices Responsible for developing and maintaining client relationships with the key strategic partners and decision makers Drive discussions and provide consultation around product design as per customer needs Participate in client interactions and gather insights regarding product development Interact with vertical delivery and business teams and provide and correct responses to RFP/ client requirements Assist in products demonstration and receive feedback from the client Design presentations for seminars, meetings and enclave primarily focused over product Team Management Resourcing Forecast talent requirements as per the current and future business needs Hire adequate and right resources for the team Talent Management Ensure adequate onboarding and training for the team members to enhance capability & effectiveness Build an internal talent pool and ensure their career progression within the organization Manage team attrition Drive diversity in leadership positions Performance Management Set goals for the team, conduct timely performance reviews and provide constructive feedback to own direct reports Ensure that the Performance Nxt is followed for the entire team Employee Satisfaction and Engagement Lead and drive engagement initiatives for the team Track team satisfaction scores and identify initiatives to build engagement within the team Mandatory Skills: Generative AI. Experience:5-8 Years.

Research, design, develop, and modify computer vision and machine learning algorithms and models, leveraging experience with technologies such as Caffe, Torch, or TensorFlow - Shape product strategy for highly contextualized applied ML/AI solutions by engaging with customers, solution teams, discovery workshops and prototyping initiatives - Help build a high-impact ML/AI team by supporting recruitment, training and development of team members - Serve as evangelist by engaging in the broader ML/AI community through research, speaking/teaching, formal collaborations and/or other channels Knowledge & Abilities: - Designing integrations of and tuning machine learning & computer vision algorithms - Research and prototype techniques and algorithms for object detection and recognition - Convolutional neural networks (CNN) for performing image classification and object detection - Familiarity with Embedded Vision Processing systems - Open source tools & platforms - Statistical Modeling, Data Extraction, Analysis, - Construct, train, evaluate and tune neural networks Mandatory Skills: : One or more of the following: Java, C++, Python Deep Learning frameworks such as Caffe OR Torch OR TensorFlow, and image/video vision library like OpenCV, Clarafai, Google Cloud Vision etc Supervised & Unsupervised LearningDeveloped feature learning, text mining, and prediction models (e.g., deep learning, collaborative filtering, SVM, and random forest) on big data computation platform (Hadoop, Spark, HIVE, and Tableau) *One or more of the following: Tableau, Hadoop, Spark, HBase, Kafka Experience: - 2-5 years of work or educational experience in Machine Learning or Artificial Intelligence - Creation and application of Machine Learning algorithms to a variety of real-world problems with large datasets - Building scalable machine learning systems and data-driven products working with cross functional teams - Working w/ cloud services like AWS, Microsoft, IBM, and Google Cloud- Working w/ one or more of the following: Natural Language Processing, text understanding, classification, pattern recognition, recommendation systems, targeting systems, ranking systems or similar Nice to Have: - Contribution to research communities and/or efforts, including publishing papers at conferences such as NIPS, ICML, ACL, CVPR, etc Education: BA/BS (advanced degree preferable) in Computer Science, Engineering or related technical field or equivalent practical experience Wipro is an Equal Employment Opportunity employer and makes all employment and employment-related decisions without regard to a person's race, sex, national origin, ancestry, disability, sexual orientation, or any other status protected by applicable law Product and Services Sales Manager Mandatory Skills: : Generative AI Experience: 3-5 Years

Meet the Team We are an innovation team on a mission to transform how enterprises harness AI. Operating with the agility of a startup and the focus of an incubator, were building a tight-knit group of AI and infrastructure experts driven by > We thrive in a fast-paced, experimentation-rich environment where new technologies arent just welcome theyre expected. Here, you'll work side-by-side with seasoned engineers, architects, and thinkers to craft the kind of iconic products that can reshape industries and unlock entirely new models of operation for the enterprise. If you're energized by the challenge of solving hard problems, love working at the edge of what's possible, and want to help shape the future of AI infrastructure we'd love to meet you. Your Impact Cisco is seeking a forward-thinking AI Model Architect to drive the development of AI model and dataset design supporting the next-generation AI infrastructure platform. This is a key role at the intersection of infrastructure and AI systems, where you'll drive the architecture and execution of AI and Generative AI to develop novel solutions that improve monitoring, deployment, and management of AI applications running at scale. Your work will directly impact how enterprises deploy, scale, and optimize AI workloads. As an Architect, you will be responsible for both mentoring a high-caliber team as well as hands-on design to deliver robust AI models and workflows that learn from, recommend, and optimize the uptime, quality, and performance of customer infrastructure. Youll also guide strategic direction on resource utilization in generative AI systems, working cross-functionally to align product direction with infrastructure capabilities. Key Responsibilities: Architect and design datasets from infrastructure and operational telemetry. Architect, select, and fine-tune/train AI and Generative AI model that can detect patterns on time series datasets. Fine-tune and train AI and Generative AI models that can interreact with tools and take actions. Understanding k8s and other infrastructure components and their usages. Build Model Context Protocol (MCP) tools to support Agentic Workflows Demonstrate a deep understanding of AI frameworks that support Nvidia and AMD GPUs. Plan and coordinate software engineering work, map tasks to releases, conduct code reviews, and resolve technical challenges to unblock releases. Generate architecture specifications and build proof-of-concept (POC) solutions for clarity when needed. Collaborate with product management to understand customer requirements and build architecturally sound solutions. Work closely with engineers on implementation and track progress to ensure alignment with architectural requirements. Minimum Qualifications: Demonstrable experience in following AI and Generative AI model training and fine-tuning. KV Cache management and context length impact in LLM inferencing. Python, PyTorch, TensorRT and other AI frameworks CUDA, Nsight and other nvidia tools. vLLM, LLM-D and other runtime for LLMs. Comprehensive understanding of software release processes Proficiency in using agents building pipelines. Bachelors degree or equivalent with 10+ years of engineering experience. Preferred Qualifications: Demonstrable technical leadership through publish papers in industry conferences and publications, and issued patents Proven leadership experience in architecture and design of Retrieval Augmented Generation workflows. Demonstrable experience collecting and using system metrics in AI training/fine-tuning and inference Masters degree or equivalent.

MEET THE TEAM We are a high-performing analytics team on a mission to embed AI into every layer of our decision-making. By demonstrating machine learning, large language models (LLMs), and automation, we're redefining how data powers innovation and efficiency at scale. YOUR IMPACT As the AI Lead, you'll architect AI-powered BI systems integrating Snowflake, Tableau, and natural language interfaces. Youll transform ETL workflows with ML automation and build multi-agent AI systems to supervise KPIs, generate dashboards, and drive insights in real time. MINIMUM QUALIFICATIONS Proven expertise in building AI apps (LLMs, RAG, NLP, Deep Learning). Sophisticated Python, SQL (Snowflake), and Tableau dashboarding. Experience with ML pipelines, GenAI frameworks (LangChain, Hugging Face). Ability to lead workshops, PoCs, and mentor teams. Close collaboration with AI/engineering/product teams. Continuous learning mindset with industry awareness. BASIC QUALIFICATIONS Bachelors/Masters in CS, AI, or related field. 10+ years in BI/Analytics; 3+ in AI/ML roles. Expertise in LLMs (OpenAI, Claude, Llamas), RAG, and agent-based systems. Strong MLOps skills: model deployment, lifecycle management. Leadership in cross-functional teams and innovation delivery. PREFERRED QUALIFICATIONS Experience with multi-agent AI in BI, Snowflake Cortex, and MLOps tools like Kubeflow. Proven track record integrating AI with enterprise BI platforms for business impact.

Location: Bangalore Duration: 3 months About the Role: We are looking for a passionate and motivated AI/ML Intern to join our team. In this role, you will work closely with our Data Science and Engineering teams to develop, train, and deploy machine learning models that solve real-world problems. This is a hands-on opportunity to gain experience with cutting-edge technologies including Generative AI, Large Language Models (LLMs), AI Agents, and Retrieval-Augmented Generation (RAG) and contribute to impactful projects across domains. Key Responsibilities: Assist in collecting, cleaning, and preprocessing structured and unstructured data for ML models Build and experiment with machine learning models for classification, regression, clustering, or NLP tasks Perform exploratory data analysis and visualize insights Support the deployment and evaluation of models in a production or simulated environment Collaborate with cross-functional teams including data engineers and software developers Document experiments, results, and workflows Stay updated with the latest trends and research in AI/ML, including LLMs, Generative AI, AI Agents, and retrieval-based techniques Explore the application of LLMs (e.g., GPT, Claude, LLaMA) in areas such as summarization, question answering, and content generation Contribute to prototyping and evaluation of Retrieval-Augmented Generation (RAG) pipelines using tools like LangChain or LlamaIndex Support prompt engineering, chaining, and evaluation of agent-based systems for specific business tasks. Roles & Responsibilities Preferred Skills & Qualifications: Pursued a degree in Computer Science, Data Science, AI/ML, or related field Strong foundation in Python and libraries such as NumPy, Pandas, Scikit-learn, TensorFlow or PyTorch Basic understanding of GenAI API usage concepts (e.g., OpenAI, Anthropic, Hugging Face). Familiarity with LLM frameworks such as LangChain or LlamaIndex is a plus. Understanding of foundational ML concepts including supervised/unsupervised learning, embeddings, and transfer learning. Familiarity with vector databases like FAISS, Pinecone, or ChromaDB is an advantage Familiarity with SQL and data visualization tools (e.g., Matplotlib, Seaborn, Plotly) Knowledge of NLP or deep learning is a plus Excellent problem-solving and communication skills Eagerness to learn, experiment, and work independently as well as in collaborative teams

Experience: 4+ yrs Timing : 1 - 10 PM IST Qualifications: Education: Bachelor s or Master s degree in Computer Science, Applied Mathematics, Engineering, or a related quantitative discipline; PhD s preferred Specialization or research in applied machine learning, MLOps, or ML systems preferred Experience: 4+ years of experience designing, developing, and deploying ML models in production environments 1+ year of experience in areas such as recommendation systems, pattern recognition, NLP, or time series modeling Experience with production-grade Python (preferred), as well as Java or C/C++ Hands-on experience with large-scale software architecture, APIs, and model versioning systems Technical Skills: Expertise in Python and ML frameworks such as PyTorch, TensorFlow, or scikit-learn Proficient in cloud-based ML platforms (e.g., Azure ML, Google Cloud Platform, AWS SageMaker) Solid understanding of machine learning algorithms (e.g., classification, regression, SVMs, ARIMA, ensemble methods, deep learning, neural network) Strong foundation in probability theory and statistical modeling (generative and discriminative) Familiarity with DevOps/MLOps practices, CI/CD pipelines, GitHub Actions, Terraform, Docker, and Kubernetes Ability to communicate technical concepts clearly to both technical and non-technical stakeholders Strong collaboration skills with cross-functional teams (engineering, analytics, product) Ability to independently manage tasks and thrive in a remote-first or hybrid environment Preferred Skills : Experience in regulated industries (e.g., finance, healthcare, insurance) Excellent communication and stakeholder engagement skills Strong understanding of deep learning architectures (e.g. CNNs, RNNs, Transformers, GANs) Strong in GPU based accelerating computing technologies (CUDA, Rapids, NeMo, NIM, etc.) Proficiency in model evaluation, distributed training, and hyperparameter optimization Proficient in Big Data Theory based large scale data streaming and in-memory database technologies (Spark, Kafka, Redis, Elastic Search) Strong in automated workflow technologies (GitHub Actions, Terraform, Helmet) and containerization technologies (Docker, Kubernetes) Proficient in API and Microservices technologies Track records in large-scale, real-time AI/GenAI/ML database and solution technologies Background in responsible AI/ML, model interpretability, and fairness auditing

Machine Learning : Understanding algorithms, data processing, and model training. Natural Language Processing (NLP) : Techniques for processing and generating human language. Data Science : Skills in data analysis, statistics, and data visualization. Software Development : Proficiency in programming languages like Python, R, and Java. Deep Learning : Knowledge of neural networks and frameworks like TensorFlow and PyTorch. These models are designed to understand and generate human-like text, similar to other well-known models like GPT-3. LLaMA models are used for various applications, including natural language processing tasks such as text generation, translation, summarization, and more. They are part of Meta's efforts to advance AI research and develop more sophisticated and capable AI systems. Key skills in this area include:

Design, develop, and deploy end-to-end machine learning and deep learning models for classification, regression, prediction, and computer vision tasks using TensorFlow, PyTorch, and scikit-learn. - Build and fine-tune transformer-based LLMs (GPT, BERT, LLaMA, etc.) for tasks such as text summarization, chatbots, sentiment analysis, semantic search, and retrieval-augmented generation (RAG) systems. - Apply prompt engineering, chain-of-thought prompting, and synthetic data generation to enhance the performance of generative AI applications. - Collaborate with data engineers to build scalable data pipelines using Spark, Kafka, Hadoop, and Airflow. - Implement model training pipelines and automate hyperparameter tuning, model evaluation, and performance tracking. - Deploy ML models in production environments using AWS, Azure, or GCP, leveraging Docker, Kubernetes, and CI/CD workflows. - Analyze complex datasets, perform statistical analyses, and conduct hypothesis testing, time-series forecasting, and feature engineering. - Visualize and present findings using Tableau, Power BI, or Plotly, creating narratives that influence product and business strategy. - Stay current with trends in LLMs, GenAI, responsible AI, and contribute to thought leadership within and outside the organization.

Job Summary We are seeking an Analytics Engineer who will be responsible for developing and optimizing AI and machine learning models for image understanding and analytics. This role involves implementing computer vision techniques for 3D data processing, conducting research and innovation in AI applications, integrating AI-based analytics into software solutions, and collaborating with cross-functional teams while providing mentorship and expertise. How You’ll Make an Impact (key responsibilities of role) AI & Machine Learning Development Develop and optimize deep learning models for object detection, semantic segmentation, and classification. Apply machine learning algorithms to large-scale 2D/3D datasets for image understanding and analytics. Train, validate, and improve AI models using TensorFlow, PyTorch, Caffe, OpenCV, and PCL. 3D Data Processing & Computer Vision Design and implement computer vision techniques for 3D reconstruction, photogrammetry, and point cloud analytics. Develop algorithms for geospatial data processing, projective geometry, and deep learning on 3D data. Optimize computational efficiency for handling large-scale 3D datasets. Research & Innovation Stay updated on the latest advancements in AI, computer vision, and machine learning. Participate in internal and publicly funded research projects to enhance AI-based analytics for linear infrastructures. Transfer academic research findings into real-world AI applications. Software Development & Integration Extend and integrate AI-based analytics into existing software solutions. Develop production-ready implementations using Python, C/C++, and Matlab in a Linux environment. Ensure scalability, performance, and reliability of deployed AI/ML models. Collaboration & Mentorship Work closely with cross-functional teams, including data scientists, software engineers, and domain experts. Provide expertise in reviewing scientific literature and algorithm development. What You Bring (required qualifications and skills) Bachelor’s or master’s degree in computer science, Data Science, Engineering, or a related field. 5+ years of research experience in deep learning, machine learning, or related areas, with a focus on developing and scaling innovative AI solutions. Strong programming skills in Python, C/C++, and Matlab. Proven experience in AI and machine learning, particularly in computer vision and 3D data processing. Familiarity with deep learning frameworks such as TensorFlow and PyTorch. Experience with large-scale data processing and optimization techniques. Knowledge of geospatial data processing and projective geometry. Strong communication skills and ability to mentor junior team members.

: Siemens Healthineers has openings for full time Data scientist to support development of AI-based applications for products in Healthcare. The candidate would be working on one of the AI applications within the AI-Rad Companion suite of clinical AI applications. The role of the data scientist is to be a bridge between the research teams developing Medical Imaging related AI algorithms, the engineering teams productizing it, the Regulatory team filing for country regulatory clearances and the clinical customers. Clear understanding of the fundamentals of medical imaging, radiology in particular is essential to perform the role. Understanding of the regulatory clearances and it’s needs for supporting evidence for AI algorithms is necessary as the person facilitates these inputs working closely with the research team and regulatory teams. High level Understanding of the AI and it’s applications in clinical context is essential to bring the information related to performance and reliability metrics. Work closely with the clinical evaluation report writers to provide insights into the AI application. The applicant will join our innovation group in solving exciting and challenging research problems with real-world medical applications that require Data science. Our group develops medical image, text analytics and AI applications supporting clinicians and other medical professionals. We are well recognized for delivering cutting-edge intelligent solutions. Responsibilities: Contribute the development of Artificial Intelligence solutions for medical imaging Support the product development and deployment of research prototypes Support Scientific evaluation, setup and manage algorithm validation pipeline Education: Recently acquired Masters or PhD in Computer Science, Electrical Engineering, Optimization, Mathematics or Statistics. Experience: 4+ Years of experience Skills/Competency: Strong programming ability in both scripting and object-oriented programming languages is required (C/C++, C#, python, R) Working knowledge of deep learning frameworks and libraries like pytorch, caffe, tensor flow and high-level APIs like Keras is preferable but not required Prior exposure to machine learning and related fields is preferable but not required Motivated, self-driven and with a strong ability to learn independently Exhibits strong problem-solving skills Self-directed and actively takes initiative Familiar with DICOM & Medical Raw image formats and it's applications Familiar with Data science tools Strong knowledge of regulatory needs related to medical devices, AI products in healthcare