2482 Deep Learning Jobs - Page 35

Key Responsibilities. Predictive Modeling & Deep Learning:. Develop ML/DL models for predicting match scores & outcomes, team & player performances, and statistics. Implement time-series forecasting models (LSTMs, Transformers, ARIMA, etc.) for score predictions. Train and fine-tune reinforcement learning models for strategic cricket decision-making. Develop ensemble learning techniques to improve predictive accuracy. In-Depth Cricket Analytics:. Design models to analyze player form, team strengths, matchups, and opposition weaknesses. Build player impact and performance forecasting models based on pitch conditions, opposition, and recent form. Extract insights from match footage and live tracking data using deep learning-based video analytics. Data Processing & Engineering:. Collect, clean, and preprocess structured and unstructured cricket datasets from APIs, scorecards, and video feeds. Build data pipelines (ETL) for real-time and historical data ingestion. Work with large-scale datasets using big data tools (Spark, Hadoop, Dask, etc.). Model Deployment & MLOps:. Deploy ML/DL models into production environments (AWS, GCP, Azure etc). Develop APIs to serve predictive models for real-time applications. Implement CI/CD pipelines, model monitoring, and retraining workflows for continuous improvement. Performance Metrics & Model Explainability:. Define and optimize evaluation metrics (MAE, RMSE, ROC-AUC, etc.) for model performance tracking. Implement explainable AI techniques to improve model transparency. Continuously update models with new match data, player form & injuries, and team form changes. About CompanyAt Lifease Solutions LLP, we believe that design and technology are the perfect blend to solve any problem and bring any idea to life. Lifease Solutions is a leading provider of software solutions and services that help businesses succeed. Based in Noida, India, we are committed to delivering high-quality, innovative solutions that drive value and growth for our customers. Our expertise in the finance, sports, and capital market domains has made us a trusted partner for companies around the globe. We take pride in our ability to turn small projects into big successes, and we are always looking for ways to help our clients maximize their IT investments

Key Responsibilities. Predictive Modeling & Deep Learning:. Develop ML/DL models for predicting match scores & outcomes, team & player performances, and statistics. Implement time-series forecasting models (LSTMs, Transformers, ARIMA, etc.) for score predictions. Train and fine-tune reinforcement learning models for strategic cricket decision-making. Develop ensemble learning techniques to improve predictive accuracy. In-Depth Cricket Analytics:. Design models to analyze player form, team strengths, matchups, and opposition weaknesses. Build player impact and performance forecasting models based on pitch conditions, opposition, and recent form. Extract insights from match footage and live tracking data using deep learning-based video analytics. Data Processing & Engineering:. Collect, clean, and preprocess structured and unstructured cricket datasets from APIs, scorecards, and video feeds. Build data pipelines (ETL) for real-time and historical data ingestion. Work with large-scale datasets using big data tools (Spark, Hadoop, Dask, etc.). Model Deployment & MLOps:. Deploy ML/DL models into production environments (AWS, GCP, Azure etc). Develop APIs to serve predictive models for real-time applications. Implement CI/CD pipelines, model monitoring, and retraining workflows for continuous improvement. Performance Metrics & Model Explainability:. Define and optimize evaluation metrics (MAE, RMSE, ROC-AUC, etc.) for model performance tracking. Implement explainable AI techniques to improve model transparency. Continuously update models with new match data, player form & injuries, and team form changes. About CompanyAt Lifease Solutions LLP, we believe that design and technology are the perfect blend to solve any problem and bring any idea to life. Lifease Solutions is a leading provider of software solutions and services that help businesses succeed. Based in Noida, India, we are committed to delivering high-quality, innovative solutions that drive value and growth for our customers. Our expertise in the finance, sports, and capital market domains has made us a trusted partner for companies around the globe. We take pride in our ability to turn small projects into big successes, and we are always looking for ways to help our clients maximize their IT investments

We are seeking a 'Computer Vision Engineer' to develop AI-driven video analytics solutions for extracting in-depth cricket data from match footage, live broadcasts, and player tracking systems. This role involves leveraging deep learning, pose estimation, and image processing to analyze player movements, shot selection, bowling mechanics, and match dynamics. Key Responsibilities. Video-Based Cricket Analytics. Develop computer vision models for player tracking, ball trajectory prediction, and shot classification. Extract real-time insights from video streams, including player positions, footwork analysis, and batting/bowling techniques. Implement pose estimation (OpenPose, MediaPipe, DeepLabCut) to analyze player body movements. Use action recognition models to classify batting strokes, bowling variations, and fielding plays. Deep Learning & Image Processing. Apply CNNs, Transformers, YOLO, Mask R-CNN, and Optical Flow for cricket action recognition. Develop segmentation models to differentiate players, umpires, and key match elements (ball, stumps, pitch zones). Use GANs and super-resolution techniques to enhance low-quality video footage. Build OCR (Optical Character Recognition) systems to extract scoreboards and match statistics from live broadcasts. Real-Time Video Processing & Streaming. Implement real-time video processing pipelines using OpenCV, FFmpeg, and GStreamer. Work with multi-angle TV footage and drone feeds to enhance match analysis. Develop low-latency algorithms for real-time ball speed, swing, and spin detection. Data Collection, Annotation & Model Training. Build automated annotation tools for labeling cricket match videos. Train supervised and unsupervised learning models using cricket datasets. Collaborate with sports analysts to validate and refine model predictions. Model Deployment & Performance Optimization. Deploy computer vision models on edge devices, cloud platforms, and real-time streaming systems. Optimize models for low latency and high accuracy in live cricket broadcasts. Implement A/B testing and continuous monitoring to improve model performance. Camera Calibration & Video Trigonometry. Perform camera calibration for distortion correction and real-world coordinate mapping. Use homography transformation and perspective correction for multi-angle alignment. Apply video trigonometry to calculate player distances, ball speed, angles, and movement trajectories. Work with multi-camera synchronization and stereo vision for depth estimation in cricket analytics. About CompanyAt Lifease Solutions LLP, we believe that design and technology are the perfect blend to solve any problem and bring any idea to life. Lifease Solutions is a leading provider of software solutions and services that help businesses succeed. Based in Noida, India, we are committed to delivering high-quality, innovative solutions that drive value and growth for our customers. Our expertise in the finance, sports, and capital market domains has made us a trusted partner for companies around the globe. We take pride in our ability to turn small projects into big successes, and we are always looking for ways to help our clients maximize their IT investments

We are seeking a 'Computer Vision Engineer' to develop AI-driven video analytics solutions for extracting in-depth cricket data from match footage, live broadcasts, and player tracking systems. This role involves leveraging deep learning, pose estimation, and image processing to analyze player movements, shot selection, bowling mechanics, and match dynamics. Key Responsibilities. Video-Based Cricket Analytics. Develop computer vision models for player tracking, ball trajectory prediction, and shot classification. Extract real-time insights from video streams, including player positions, footwork analysis, and batting/bowling techniques. Implement pose estimation (OpenPose, MediaPipe, DeepLabCut) to analyze player body movements. Use action recognition models to classify batting strokes, bowling variations, and fielding plays. Deep Learning & Image Processing. Apply CNNs, Transformers, YOLO, Mask R-CNN, and Optical Flow for cricket action recognition. Develop segmentation models to differentiate players, umpires, and key match elements (ball, stumps, pitch zones). Use GANs and super-resolution techniques to enhance low-quality video footage. Build OCR (Optical Character Recognition) systems to extract scoreboards and match statistics from live broadcasts. Real-Time Video Processing & Streaming. Implement real-time video processing pipelines using OpenCV, FFmpeg, and GStreamer. Work with multi-angle TV footage and drone feeds to enhance match analysis. Develop low-latency algorithms for real-time ball speed, swing, and spin detection. Data Collection, Annotation & Model Training. Build automated annotation tools for labeling cricket match videos. Train supervised and unsupervised learning models using cricket datasets. Collaborate with sports analysts to validate and refine model predictions. Model Deployment & Performance Optimization. Deploy computer vision models on edge devices, cloud platforms, and real-time streaming systems. Optimize models for low latency and high accuracy in live cricket broadcasts. Implement A/B testing and continuous monitoring to improve model performance. Camera Calibration & Video Trigonometry. Perform camera calibration for distortion correction and real-world coordinate mapping. Use homography transformation and perspective correction for multi-angle alignment. Apply video trigonometry to calculate player distances, ball speed, angles, and movement trajectories. Work with multi-camera synchronization and stereo vision for depth estimation in cricket analytics. About CompanyAt Lifease Solutions LLP, we believe that design and technology are the perfect blend to solve any problem and bring any idea to life. Lifease Solutions is a leading provider of software solutions and services that help businesses succeed. Based in Noida, India, we are committed to delivering high-quality, innovative solutions that drive value and growth for our customers. Our expertise in the finance, sports, and capital market domains has made us a trusted partner for companies around the globe. We take pride in our ability to turn small projects into big successes, and we are always looking for ways to help our clients maximize their IT investments

We are seeking a 'Computer Vision Engineer' to develop AI-driven video analytics solutions for extracting in-depth cricket data from match footage, live broadcasts, and player tracking systems. This role involves leveraging deep learning, pose estimation, and image processing to analyze player movements, shot selection, bowling mechanics, and match dynamics. Key Responsibilities. Video-Based Cricket Analytics. Develop computer vision models for player tracking, ball trajectory prediction, and shot classification. Extract real-time insights from video streams, including player positions, footwork analysis, and batting/bowling techniques. Implement pose estimation (OpenPose, MediaPipe, DeepLabCut) to analyze player body movements. Use action recognition models to classify batting strokes, bowling variations, and fielding plays. Deep Learning & Image Processing. Apply CNNs, Transformers, YOLO, Mask R-CNN, and Optical Flow for cricket action recognition. Develop segmentation models to differentiate players, umpires, and key match elements (ball, stumps, pitch zones). Use GANs and super-resolution techniques to enhance low-quality video footage. Build OCR (Optical Character Recognition) systems to extract scoreboards and match statistics from live broadcasts. Real-Time Video Processing & Streaming. Implement real-time video processing pipelines using OpenCV, FFmpeg, and GStreamer. Work with multi-angle TV footage and drone feeds to enhance match analysis. Develop low-latency algorithms for real-time ball speed, swing, and spin detection. Data Collection, Annotation & Model Training. Build automated annotation tools for labeling cricket match videos. Train supervised and unsupervised learning models using cricket datasets. Collaborate with sports analysts to validate and refine model predictions. Model Deployment & Performance Optimization. Deploy computer vision models on edge devices, cloud platforms, and real-time streaming systems. Optimize models for low latency and high accuracy in live cricket broadcasts. Implement A/B testing and continuous monitoring to improve model performance. Camera Calibration & Video Trigonometry. Perform camera calibration for distortion correction and real-world coordinate mapping. Use homography transformation and perspective correction for multi-angle alignment. Apply video trigonometry to calculate player distances, ball speed, angles, and movement trajectories. Work with multi-camera synchronization and stereo vision for depth estimation in cricket analytics. About CompanyAt Lifease Solutions LLP, we believe that design and technology are the perfect blend to solve any problem and bring any idea to life. Lifease Solutions is a leading provider of software solutions and services that help businesses succeed. Based in Noida, India, we are committed to delivering high-quality, innovative solutions that drive value and growth for our customers. Our expertise in the finance, sports, and capital market domains has made us a trusted partner for companies around the globe. We take pride in our ability to turn small projects into big successes, and we are always looking for ways to help our clients maximize their IT investments

We are seeking a 'Computer Vision Engineer' to develop AI-driven video analytics solutions for extracting in-depth cricket data from match footage, live broadcasts, and player tracking systems. This role involves leveraging deep learning, pose estimation, and image processing to analyze player movements, shot selection, bowling mechanics, and match dynamics. Key Responsibilities. Video-Based Cricket Analytics. Develop computer vision models for player tracking, ball trajectory prediction, and shot classification. Extract real-time insights from video streams, including player positions, footwork analysis, and batting/bowling techniques. Implement pose estimation (OpenPose, MediaPipe, DeepLabCut) to analyze player body movements. Use action recognition models to classify batting strokes, bowling variations, and fielding plays. Deep Learning & Image Processing. Apply CNNs, Transformers, YOLO, Mask R-CNN, and Optical Flow for cricket action recognition. Develop segmentation models to differentiate players, umpires, and key match elements (ball, stumps, pitch zones). Use GANs and super-resolution techniques to enhance low-quality video footage. Build OCR (Optical Character Recognition) systems to extract scoreboards and match statistics from live broadcasts. Real-Time Video Processing & Streaming. Implement real-time video processing pipelines using OpenCV, FFmpeg, and GStreamer. Work with multi-angle TV footage and drone feeds to enhance match analysis. Develop low-latency algorithms for real-time ball speed, swing, and spin detection. Data Collection, Annotation & Model Training. Build automated annotation tools for labeling cricket match videos. Train supervised and unsupervised learning models using cricket datasets. Collaborate with sports analysts to validate and refine model predictions. Model Deployment & Performance Optimization. Deploy computer vision models on edge devices, cloud platforms, and real-time streaming systems. Optimize models for low latency and high accuracy in live cricket broadcasts. Implement A/B testing and continuous monitoring to improve model performance. Camera Calibration & Video Trigonometry. Perform camera calibration for distortion correction and real-world coordinate mapping. Use homography transformation and perspective correction for multi-angle alignment. Apply video trigonometry to calculate player distances, ball speed, angles, and movement trajectories. Work with multi-camera synchronization and stereo vision for depth estimation in cricket analytics. About CompanyAt Lifease Solutions LLP, we believe that design and technology are the perfect blend to solve any problem and bring any idea to life. Lifease Solutions is a leading provider of software solutions and services that help businesses succeed. Based in Noida, India, we are committed to delivering high-quality, innovative solutions that drive value and growth for our customers. Our expertise in the finance, sports, and capital market domains has made us a trusted partner for companies around the globe. We take pride in our ability to turn small projects into big successes, and we are always looking for ways to help our clients maximize their IT investments

Join our Team About this opportunity: Ericsson is the worlds leading provider of communications technology and services Our offerings include services, consulting, software and infrastructure within Information and Communications Technology Using innovation to empower people, business and society, Ericsson is working towards the Networked Society: a world connected in real time that will open opportunities to create freedom, transform society and drive solutions to some of our planets greatest challenges We are truly a global company, operating across borders in over 180 countries, offering a diverse, performance-driven culture and an innovative and engaging environment As an Ericsson employee, you will have freedom to think big and the support to turn ideas into achievements We invite you to join our team About this opportunity in PA Enablement Platforms, PL AI Analytics Acceleration Are you interested in the enterprise technology trends Can you give expertise and guidance to digital product owners with regards to AI Operations, and drive compliancy to security and legal requirements for the generative/agentic AI Do you have strong problem-solving capabilities, enjoy continuous improvement and at the same time are result oriented Do you like to work in a dynamic, fast paced, and global environment Then we have an interesting opportunity for you! We are now looking for a person to set-up and lead our AI Operations, to support our journey in radically transforming Ericsson through Automation & AI What you will do: Create robust governance structure, processes and instructions for AI Operations Drive AI Operations for correct understanding and adherence to processes, methods, and tools Secure operations of automations in production through efficient incident, problem and change management, to maximize automation utilization Use strong leadership skills with experience in managing cross-functional teams and fostering collaboration among diverse stakeholders Set up processes for ongoing monitoring and maintenance of AI Agents This includes tracking performance, identifying potential issues, and making necessary adjustments to ensure continued effectiveness Create a feedback loop where insights from the maintenance AI operation feed back into the development process, driving continuous improvement and optimization Ensure that data is collected, stored, and used in compliance with regulations like GDPR or CPRA Drive/participate in relevant assessments/audits Work with the product owners to set-up DevOps as the AI Operations model Performance reporting of AI Operations OKR/KPI The skills you bring: You have a relevant technical qualification or degree and 8+ years of working experience, most of them within IT operations, IT program and project management, transformation projects or similar Strong technical acumen and ability to adopt emerging technologies Knowledge of Automation and AI technologies and industry-standard methodologies Extensive competence in security and compliance and the implications Strong strategic thinking, problem-solving, and decision-making abilities The ability to break down barriers to support a speedy execution in a high pace environment Communication and collaboration skills are key Proficient in written and spoken English Why join Ericsson At Ericsson, you?ll have an outstanding opportunity The chance to use your skills and imagination to push the boundaries of what?s possible To build solutions never seen before to some of the worlds toughest problems You?ll be challenged, but you wont be alone You?ll be joining a team of diverse innovators, all driven to go beyond the status quo to craft what comes next What happens once you apply Click Here to find all you need to know about what our typical hiring process looks like Encouraging a diverse and inclusive organization is core to our values at Ericsson, that's why we champion it in everything we do We truly believe that by collaborating with people with different experiences we drive innovation, which is essential for our future growth We encourage people from all backgrounds to apply and realize their full potential as part of our Ericsson team Ericsson is proud to be an Equal Opportunity Employer learn more Primary country and city: India (IN) || Gurgaon, Noida, Bangalore, Chennai, Pune & Kolkata Req ID: 766598

Join our Team About this opportunity: Ericsson is the worlds leading provider of communications technology and services Our offerings include services, consulting, software and infrastructure within Information and Communications Technology Using innovation to empower people, business and society, Ericsson is working towards the Networked Society: a world connected in real time that will open opportunities to create freedom, transform society and drive solutions to some of our planets greatest challenges We are truly a global company, operating across borders in over 180 countries, offering a diverse, performance-driven culture and an innovative and engaging environment As an Ericsson employee, you will have freedom to think big and the support to turn ideas into achievements We invite you to join our team About this opportunity in PA Enablement Platforms, PL AI Analytics Acceleration Are you interested in the enterprise technology trends Can you give expertise and guidance to digital product owners with regards to AI Operations, and drive compliancy to security and legal requirements for the generative/agentic AI Do you have strong problem-solving capabilities, enjoy continuous improvement and at the same time are result oriented Do you like to work in a dynamic, fast paced, and global environment Then we have an interesting opportunity for you! We are now looking for a person to set-up and lead our AI Operations, to support our journey in radically transforming Ericsson through Automation & AI What you will do: Create robust governance structure, processes and instructions for AI Operations Drive AI Operations for correct understanding and adherence to processes, methods, and tools Secure operations of automations in production through efficient incident, problem and change management, to maximize automation utilization Use strong leadership skills with experience in managing cross-functional teams and fostering collaboration among diverse stakeholders Set up processes for ongoing monitoring and maintenance of AI Agents This includes tracking performance, identifying potential issues, and making necessary adjustments to ensure continued effectiveness Create a feedback loop where insights from the maintenance AI operation feed back into the development process, driving continuous improvement and optimization Ensure that data is collected, stored, and used in compliance with regulations like GDPR or CPRA Drive/participate in relevant assessments/audits Work with the product owners to set-up DevOps as the AI Operations model Performance reporting of AI Operations OKR/KPI The skills you bring: You have a relevant technical qualification or degree and 8+ years of working experience, most of them within IT operations, IT program and project management, transformation projects or similar Strong technical acumen and ability to adopt emerging technologies Knowledge of Automation and AI technologies and industry-standard methodologies Extensive competence in security and compliance and the implications Strong strategic thinking, problem-solving, and decision-making abilities The ability to break down barriers to support a speedy execution in a high pace environment Communication and collaboration skills are key Proficient in written and spoken English Why join Ericsson At Ericsson, you?ll have an outstanding opportunity The chance to use your skills and imagination to push the boundaries of what?s possible To build solutions never seen before to some of the worlds toughest problems You?ll be challenged, but you wont be alone You?ll be joining a team of diverse innovators, all driven to go beyond the status quo to craft what comes next What happens once you apply Click Here to find all you need to know about what our typical hiring process looks like Encouraging a diverse and inclusive organization is core to our values at Ericsson, that's why we champion it in everything we do We truly believe that by collaborating with people with different experiences we drive innovation, which is essential for our future growth We encourage people from all backgrounds to apply and realize their full potential as part of our Ericsson team Ericsson is proud to be an Equal Opportunity Employer learn more Primary country and city: India (IN) || Gurgaon, Noida, Bangalore, Chennai, Pune & Kolkata Req ID: 766598

Role & responsibilities: Strategy & Roadmap: Build and define Brainlabs global Data Science capability roadmap, focused on advanced media optimisation and marketing effectiveness Product Development : Work through all stages of product development: defining capability, crafting business solutions, gathering/structuring data, building ML/DL/AI models, and communicating business impact. Innovation : Research and bring innovations to develop next-generation solutions in marketing & media analytics, incorporating advancements like GPT, LLMs, Agentic AI and multimodal data pipelines Team Leadership: Grow and mentor a high-performing data science team, driving thought leadership, R&D culture, and global collaboration. Pre-sales Support: Estimate project efforts, creating detailed proposals, and developing Statements of Work (SOWs). respond to Requests for Proposals (RFPs) with innovative, tailored analytics solutions. Client/Stakeholder Communication: Engage with diverse stakeholders, including clients, team members, and management. Organizational Initiatives: Lead key organizational initiatives focused on enhancing operational efficiency, service quality, and employee engagement. Analysis: Ability to analyze data and prescribe model-based recommendations/actions for the end users. Process Management: Manage projects in an Agile environment. Preferred candidate profile: Experienced: A visionary leader with 12-15 years in Data Science projects, 4+ years in Marketing Analytics Educated : Bachelors/Masters degree in relevant field (Math, Statistics, Analytics, Operational Research or related disciplines) Technically Skilled: Experience building ML/DL/NLP/AI models (Python, R, Scala). Experienced with frameworks like TensorFlow, PyTorch, YOLO as well as marketing specific models like Meridian, Robyn and PyMC LLM & AI Specialist: Deep understanding of Agentic AI frameworks (AutoGPT, BabyAGI, OpenAgents) and LLMs (GPT, Claude, Gemini, LLaMA) Cloud & MLOps Fluent: Familiar with MLOps, ML safety and building scalable architectures on AWS, GCP, Azure, or Nvidia stack

Must have Technical skills Requirements • Overall 3 to 12 years of experiencein AI, ML and Gen AI and related technologies, CTC is open for discussion based on experience. • Proven track record of leading and scaling AI/ML teams and initiatives. • Strong understanding and hands-on experience in AI, ML, Deep Learning, and Generative AI concepts and applications. • Expertise in ML frameworks such as PyTorch and/or TensorFlow Experience with ONNX runtime, model optimization and hyperparameter tuning. • Solid Experience of DevOps, SDLC, CI/CD, and MLOps practices- DevOps/MLOps Tech Stack: Docker, Kubernetes, Jenkins, Git, CI/CD, RabbitMQ, Kafka, Spark, Terraform, Ansible, Prometheus, Grafana, ELK stack • Experience in production-level deployment of AI models at enterprise scale. • Proficiency in data preprocessing, feature engineering, and large-scale data handling. • Expertise in image and video processing, object detection, image segmentation, and related CV tasks. • Proficiency in text analysis, sentiment analysis, language modeling, and other NLP applications. • Experience with speech recognition, audio classification, and general signal processing techniques. • Experience with RAG, VectorDB, GraphDB and Knowledge Graphs Extensive experience with major cloud platforms (AWS, Azure, GCP) for AI/ML deployments. Proficiency in using and integrating cloud-based AI services and tools (e.g., AWS SageMaker, Azure ML, Google Cloud AI). Soft Skills • Strong leadership and team management skills. • Excellent verbal and written communication skills. • Strategic thinking and problem-solving abilities. • Adaptability and adapting to the rapidly evolving AI/ML landscape. • Strong collaboration and interpersonal skills. • Ability to translate market needs into technological solutions. • Strong understanding of industry dynamics and ability to translate market needs into technological solutions. • Demonstrated ability to foster a culture of innovation and creative problem-solving. Lead and manage the AI/ML Center of Excellence (CoE), setting strategic direction and goals. • 100% hands-on Experience is a must in development and deployment of production-level AI models at enterprise scale. (Build Vs Buy Decision Maker) • Drive innovation in AI/ML applications across various business domains and modalities (vision, language, audio). • Hire, train, and manage a team of AI experts to run the CoE effectively. • Collaborate with sales teams to identify opportunities and drive revenue growth through AI/ML solutions. • Develop and deliver training programs to upskill teams across the organization in AI/ML technologies. Oversee the Implement and maintain best practices in MLOps, DevOps, and CI/CD for AI/ML projects. • Continuously identify and evaluate emerging tools and technologies in the AI/ML space for potential adoption. Experience Growth Path Mode of employment • Provide thought leadership through whitepapers, conference presentations, and industry engagements to position the organization as an AI/ML leader

Hands on Experience:- NLP/LLM Hugging Face, YOLO, CNNs, Stable Diffusion ML algorithms (regression, decision trees, clustering) Model training/fine-tuning using real-world datasets FastAPI,Flask,Django Docker, Kubernetes Cloud experience

Immediate/Early joiners preferred. Proven expertise in building ML & GenAI apps using RAG , Agentic AI, NLP, LLMs (Langchain, LlamaIndex). Strong in Python , TensorFlow, PyTorch, Azure , Databricks , MLOps, and secure data pipelines for all data types. Gratuity Health insurance

We are seeking a highly skilled Senior/Lead Data Scientist with deep expertise in AI/ML/Gen AI, including Deep Learning, Computer Vision, and NLP. The ideal candidate will bring strong hands-on experience, particularly in building, fine-tuning, and deploying models, and will work directly with customers with minimal supervision. This role requires someone who can not only lead and execute technical projects but also actively contribute to business development through customer interaction, proposal building, and RFP responses. You will be expected to take ownership of AI project execution and team leadership, while helping Tekdi expand its AI footprint. Key Responsibilities: Contribute to AI business growth by working on RFPs, proposals, and solutioning activities. Lead the team in delivering customer requirements, ensuring quality and timely execution. Develop and fine tune advanced AI/ML models using deep learning and generative AI techniques. Fine-tune and optimize Large Language Models (LLMs) such as GPT, BERT, T5, and LLaMA. Interact directly with customers to understand their business needs and provide AI-driven solutions. Work with Deep Learning architectures including CNNs, RNNs, and Transformer-based models. Leverage NLP techniques such as summarization, NER, sentiment analysis, and embeddings. Implement MLOps pipelines and deploy scalable AI solutions in cloud environments (AWS, GCP, Azure). Collaborate with cross-functional teams to integrate AI into business applications. Stay updated with AI/ML research and integrate new techniques into projects. Required Skills & Qualifications: Minimum 6 years of experience in AI/ML/Gen AI, with at least 3+ years in Deep Learning/Computer Vision. Strong proficiency in Python and popular AI/ML frameworks (TensorFlow, PyTorch, Hugging Face, Scikit-learn). Hands-on experience with LLMs and generative models (e.g., GPT, Stable Diffusion). Experience with data preprocessing, feature engineering, and performance evaluation. Exposure to containerization and cloud deployment using Docker, Kubernetes. Experience with vector databases and RAG-based architectures. Ability to lead teams and projects, and work independently with minimal guidance. Experience with customer-facing roles, proposals, and solutioning. Educational Requirements: Bachelors, Master’s, or PhD in Computer Science, Artificial Intelligence, Information Technology, or related field. Preferred Skills (Good to Have): Knowledge of Reinforcement Learning (e.g., RLHF), multi-modal AI, or time-series forecasting. Familiarity with Graph Neural Networks (GNNs). Exposure to Responsible AI (RAI), AI Ethics, or AutoML platforms. Contributions to open-source AI projects or publications in peer-reviewed journals.

Python and R for AI/ML Development, employing robust languages like JavaScript, HTML/CSS on the frontend, with a deep-seated expertise in Python and R on the backend, complemented by a practical exposure to Java backend Required Candidate profile Design, Devlop and deploy AI/ML models, machine learning algorithms using transformative principles of Artifical Intelligence, data analysis, manage datasets, employ machine learning alogorithms

Roles and Responsibilities: As a, Data scientist / Senior Data scientist you will solve some of the most impactful business problems for our clients using a variety of AI and ML technologies. You will collaborate with business partners and domain experts to design and develop innovative solutions on the data to achieve predefined outcomes. Engage with clients to understand current and future business goals and translate business problems into analytical frameworks Develop custom models based on in-depth understanding of underlying data, data structures, and business problems to ensure deliverables meet client needs Create repeatable, interpretable and scalable models Effectively communicate the analytics approach and insights to a larger business audience Collaborate with team members, peers and leadership at Tredence and client companies Qualification: Bachelor's or Master's degree in a quantitative field (CS, machine learning, mathematics, statistics) or equivalent experience. 3+ years of experience in data science, building hands-on ML models Experience with LMs (Llama (1/2/3), T5, Falcon, Langchain or framework similar like Langchain) Candidate must be aware of entire evolution history of NLP (Traditional Language Models to Modern Large Language Models), training data creation, training set-up and finetuning Candidate must be comfortable interpreting research papers and architecture diagrams of Language Models Candidate must be comfortable with LORA, RAG, Instruct fine-tuning, Quantization, etc. Experience leading the end-to-end design, development, and deployment of predictive modeling solutions. Excellent programming skills in Python. Strong working knowledge of Pythons numerical, data analysis, or AI frameworks such as NumPy, Pandas, Scikit-learn, Jupyter, etc. Advanced SQL skills with SQL Server and Spark experience. Knowledge of predictive/prescriptive analytics including Machine Learning algorithms (Supervised and Unsupervised) and deep learning algorithms and Artificial Neural Networks Experience with Natural Language Processing (NLTK) and text analytics for information extraction, parsing and topic modeling. Excellent verbal and written communication. Strong troubleshooting and problem-solving skills. Thrive in a fast-paced, innovative environment Experience with data visualization tools — PowerBI, Tableau, R Shiny, etc. preferred Experience with cloud platforms such as Azure, AWS is preferred but not require Seniority Level Associate

Proven experience as a Machine Learning Engineer Deep knowledge of math, probability, statistics and algorithms Ability to write robust code in Python, Java and R Familiarity with machine learning frameworks and librarie

Role & responsibilities Preferred candidate profile

aganitha cognitive solutions is looking for Scientist (Computational Chemistry / Data Science and AI) to join our dynamic team and embark on a rewarding career journey Conduct innovative research and experiments to develop new knowledge, products, or technologies within a specialized scientific field Design, plan, and execute scientific studies while ensuring compliance with safety and ethical standards Collect, analyze, and interpret data using advanced tools and methodologies to draw valid conclusions Prepare detailed technical reports, research papers, and documentation for internal use and external publication Collaborate with cross-functional teams, including engineers, analysts, and other scientists, to achieve project goals

ESSENTIAL DUTIES AND RESPONSIBILITIES Develop data science solutions using Python and deep learning frameworks like Tensorflow and PyTorch Perform fast-paced analytical and data mining tasks to investigate all facets of a business problem Work alongside domain experts and get relevant knowledge about the core engg process involved in HDD design and manufacturing Create high quality presentations to communicate technical output to senior stakeholders Youll be part of a niche team embedded in factory operations working to optimize manufacturing processes for lower cost and higher revenue Deliver on cutting-edge data science algorithms and cloud architecture for production deployment Work with cross functional teams to develop ML capabilities in HDD products Self-motivated to work both unsupervised and as part of an agile team. Collaborate to develop self and others within group. Participate in planning and coordinating significant technical investigations from problem statement to conclusions. Required Master Degree in data science 2026 Passout. Candidate using deep learning in their research work are also encouraged to apply. Solid experience with data wrangling in Python (Pandas/NumPy). Exp

A Day In The Life Our Global Diabetes Capability Center in Pune is expanding to serve more people living with diabetes globally. Our state-of-the-art facility is dedicated to transforming diabetes management through innovative solutions and technologies that reduce the burden of living with diabetes. In this role as a Senior Machine Learning Engineer in the Digital Technology team, you will collaborate with data scientists and stakeholders to understand business requirements and translate them into machine learning solutions. This role offers a dynamic opportunity to join Medtronic's Diabetes business. Medtronic has announced its intention to separate the Diabetes division to promote future growth and innovation within the business and reallocate investments and resources across Medtronic, subject to applicable information and consultation requirements. While you will start your employment with Medtronic, upon establishment of SpinCo or the transition of the Diabetes business to another company, your employment may transfer to either SpinCo or the other company, at Medtronic's discretion and subject to any applicable information and consultation requirements in your jurisdiction. Responsibilities may include the following and other duties may be assigned: Design, develop, and implement machine learning models and algorithms to solve complex business problems. Use software design principles to develop production ready code. Collect, preprocess, and analyze large datasets to train and evaluate machine learning models. Optimize and fine-tune machine learning models for performance and accuracy. Deploy machine learning models into production environments and monitor their performance. Develop processes and tools to monitor and analyze model performance and data accuracy. Stay up to date with the latest advancements in machine learning and apply them to improve existing models and algorithms. Collaborate with cross-functional teams to integrate machine learning solutions into existing systems and workflows. Document and communicate machine learning solutions, methodologies, and results to technical and non-technical stakeholders. Mentor and provide guidance to junior Machine Learning Engineers. Required Knowledge and Experience: Bachelors degree from an accredited institution in a technical discipline such as the sciences, technology, engineering, or mathematics 5+ years of industry experience in writing production level, scalable code (e.g. in Python) 4+ years of experience with one or more of the following machine learning topics: classification, clustering, optimization, recommendation system, deep learning 4+ years of industry experience with distributed computing frameworks such as PySpark 4+ years of industry experience with popular ml frameworks such as Spark MLlib, Keras, Tensorflow, PyTorch, HuggingFace Transformers and other libraries (like scikit-learn, spacy, genism etc.). 4+ years of industry experience with major cloud computing services like AWS or Azure or GCP 1+ years of experience in building and scaling Generative AI Applications, specifically around frameworks like Langchain, PGVector, Pinecone, Bedrock. Experience in building Agentic AI applications. 2+ years of technical leadership leading junior engineers in a product development setting. Preferred Qualifications: MS or Ph.D. in Computer Science, Software Engineering, Electrical Engineering, or related fields. Proficient in containerization services Proficient in Sagemaker to deploy the models Experience with working in CICD framework Experience in deploying and scaling Open source LLM Models If interested, please share your updated CV on ashwini.ukekar@medtronic.com

Job Title: Head of AI/Tech Lead Location: New Delhi Department: Data Science / AI & Innovation Experience Level: 8-10 years Job Summary: We are seeking a highly skilled and innovative Head AI who can lead the AI/data organization, setting tech strategy, overseeing all four projects (panel app, VRA, synthetic data, B2B report automation). Be hands-on initially and build the internal team. Key Responsibilities: Mentor and grow AI/ML engineers, devs, and data engineers. Architect end-to-end solutionsmodel design, data pipelines, tool integration. Coordinate with business teams to define AI use cases and deliverables. Manage vendor relationships and ensure knowledge transfer to internal teams. Lead hiring, roadmap planning, and quarterly prioritization. Required Skills & Qualifications: Bachelors or Master’s degree in Computer Science, Data Science, Artificial Intelligence, or related field. 8-10 years in AI/data engineering, 2-3 years in team leadership. Experience with generative AI, computer vision, NLP, LLMs, modern dev stacks. Strong decision-making and communication skills. Preferred Qualifications: Experience in deploying models using MLOps best practices. Knowledge of responsible AI frameworks and ethical considerations in AI development. Experience with real-time data processing and streaming analytics (e.g., Kafka, Spark Streaming).

Need an Architect in AI with implementing machine learning - We are seeking a highly motivated and self-driven AI Experienced Leader to head our AI and Gen AI practice. - The successful candidate will be responsible for designing and implementing AI and Gen AI-based solutions to address customer business problems. Key Responsibilities: AI Solution Consultant: - Understand customer needs and propose AI and Gen AI solutions to address business problems. AI Practice Head: - Research industry advancements in AI and Gen AI to identify practical, differentiating solutions for business problems. - Build and inspire a strong team of Data Scientists to deliver complex AI and Gen AI programs. AI Solution Architect: - Define architecture, design solutions, and implement AI and Gen AI-based solutions for customer programs. - Conduct architecture reviews, design workshops, and code reviews in collaboration with AI Data Scientists and Cloud Engineers. Implementation and Optimization: - Apply statistics, modeling, and machine learning to improve system efficiency and algorithm relevance. - Build scalable Machine Learning solutions and ensure their practical use in production environments. Skills and Qualifications: - Bachelor's or Master's degree in Computer Science, AIML, Data Sciences, or a related field. - MBA will be a plus. - 10+ years of experience in designing and implementing Machine Learning and Deep Learning models. - Proficiency in R, Python (NumPy, Scikit-learn, Pandas), TensorFlow, PyTorch, MLlib, and LLM solutions. - Strong problem-solving and analytical skills with the ability to translate business requirements into data science solutions. - Experience in scripting SQL for extracting large data sets and designing ETL flows. - Deep interest in data, metrics, analysis, trends, and a strong understanding of measurement, statistics, and program evaluation. - Effective communication skills, with the ability to convey complex technical concepts to both technical and non-technical stakeholders

Job Summary We are seeking highly skilled and motivated Data Scientists to join our dynamic team. The ideal candidate will be responsible for designing and implementing data-driven solutions that inform strategic decisions, improve customer experience, and drive business growth. Key Responsibilities Develop, test, and deploy predictive models and machine learning algorithms to solve business problems. Analyze large, complex datasets to extract actionable insights and trends. Collaborate with cross-functional teams (engineering, product, marketing, operations) to understand business requirements and deliver data solutions. Communicate findings and recommendations to stakeholders through visualizations, presentations, and reports. Build and maintain dashboards and analytical tools for ongoing monitoring and reporting. Clean, preprocess, and manage data pipelines for modeling and analytics. Evaluate model performance and continuously improve based on feedback and new data. Stay current with the latest developments in data science, machine learning, and analytics technologies. Requirements Education: Bachelors or Master’s degree in Data Science, Computer Science, Statistics, Mathematics, or a related field. Experience: Professional experience in data science, analytics, or a related field. Technical Skills: Strong programming skills in Python and/or R. Proficiency in SQL for data extraction and manipulation. Experience with machine learning frameworks (e.g., scikit-learn, XGBoost, TensorFlow, PyTorch). Familiarity with data visualization tools (e.g., Tableau, Power BI, matplotlib, seaborn). Experience with cloud platforms (e.g., AWS, GCP, Azure) is a plus. Knowledge of statistical techniques and their practical applications. Soft Skills: Excellent analytical and problem-solving skills. Strong communication and collaboration skills. Ability to work independently and manage multiple tasks and projects. Preferred Qualifications Experience with big data technologies (e.g., Spark, Hadoop). Knowledge of A/B testing and experiment design. Exposure to CI/CD practices and version control (e.g., Git). Experience working in an agile development environment.

Mandatory skill set: Python, any cloud, MLE, Deep learning, NLP, MLOPS, {Gen AI (LLM,Langchain,RAG ,Open AI}

Build cutting edge models using NLP, ML and AI Techniques for a variety of problems in a variety of domains. Work with engineering team to deploy models in production & validate the models. Expert level knowledge in Natural Language Processing, Information Extraction, Scrapping and Text Mining Algorithms, Tech Stacks. Strong familiarity with deep learning methods for text analytics. Expert level knowledge in Machine Learning algorithms (XGBoost, Linear and Logistic Regression, SVM, Random Forest, Bayesian Methods, Unsupervised Learning, Reinforcement Learning) is a must. Familiarity and experience of working on time series analysis on real world datasets. Familiarity with flask, fastapi, hug. Must be an expert python programmer. Demonstrated expertise via high quality publications and/or competitions/challenges. Ability to easily work with domain experts and passion to make a difference. Minimum B.E/B.Tech in computer science/ Electrical Engineering/ EXTC with a strong base in mathematics and statistics. Strong communication skills and team player. Ability to thrive in a startup environment. Problem solving attitude is a must. Desired Candidate Profile Data Scientist to join team and completely take care of Text Analytics on Qualitative Customer Feedback and Call Center complaints conversations via Email or Chat.