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

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

Job Description: We are seeking a highly skilled and experienced Senior Deep Learning Engineer to join our dynamic team. As a Senior Deep Learning Engineer, you will be responsible for leading the development and implementation of state-of-the-art deep learning algorithms and models to solve complex problems in industry. The ideal candidate should have a strong background in deep learning, machine learning, and computer vision, along with hands-on experience in deploying deep learning solutions in real-world applications. Work Type : Full Time , Work From Office - Hyderabad Location. Required Experience and Qualifications: Bachelor's, Master's degree in Computer Science, or a related field. Minimum of 5 years of professional experience in deep learning, machine learning, and computer vision. Hands-on experience with latest LLMs, fine-tuning of LLMs, and LangChain. Strong proficiency in Python and deep learning framework PyTorch, Keras, scikit-learn. Experience in training and optimizing deep learning models on large-scale datasets. Solid understanding of neural network architectures and optimization techniques. Excellent problem-solving skills and ability to work independently and collaboratively in a fast-paced environment. Strong communication skills with the ability to effectively communicate complex technical concepts to both technical and non-technical stakeholders. Experience with deploying deep learning models in production environments. Hands-on experience with APIs, primarily utilizing Django and FastAPI, along with proficiency in integrating them with relational databases such as PostgreSQL or MySQL. A strong grasp of object-oriented design principles and analysis.

Responsible for defining and executing a comprehensive data strategy that aligns with the company's goals, leveraging data to drive business decisions and achieve strategic objectives. Required Candidate profile Lead cross-functional teams to design and implement innovative data-driven products and analytics insights, to deliver measurable impact on business outcomes.

? Collaborate with cross-functional teams to understand project requirements and objectives. ? Assist in data collection, preprocessing, and cleaning for training ML models. ? Develop, train, and evaluate machine learning models in NLP, speech to text and text to speech. ? Implement and deploy ML models into production systems. ? Process automation and integration into the third-party platforms with focus on financial services platforms. ? Monitor and optimize the performance of deployed models. ? Conduct experiments to fine-tune algorithms and improve model accuracy. ? Stay updated with the latest trends, tools, and technologies in the ML space. Minimum Qualifications and Experience: ? Bachelor?s degree in Computer Science, Data Science, Engineering, Mathematics, or a related field with a minimum of 3-4 years of experience. Required Expertise: ? Strong understanding of fundamental ML concepts, algorithms, and techniques (e.g., supervised, unsupervised learning). ? Proficiency in programming languages such as Python or R. ? Familiarity with ML libraries/frameworks like TensorFlow, PyTorch, or scikit-learn. ? Knowledge of data manipulation and analysis using tools like Pandas and NumPy. ? Familiarity with cloud platforms (e.g., AWS, Google Cloud, or Azure). ? Understanding of database systems (SQL or NoSQL). ? Experience with version control systems like Git. ? Basic knowledge of software engineering principles. ? Problem-solving and critical thinking. ? Strong communication and collaboration skills. ? Eagerness to learn and adapt in a fast-paced environment. Other terms: ? The position is contractual, full time in nature and subject to periodic performance reviews.

Capgemini Invent Capgemini Invent is the digital innovation, consulting and transformation brand of the Capgemini Group, a global business line that combines market leading expertise in strategy, technology, data science and creative design, to help CxOs envision and build whats next for their businesses. Your Role We are seeking a highly skilled and experienced Generative AI Developer to join our team at the forefront of innovation. As a Gen AI Developer, you will play a crucial role in designing, developing, and implementing cutting-edge generative AI models that have the potential to revolutionize various industries. You will collaborate closely with clients, consultants, and product managers to translate complex AI concepts into real-world solutions and assets. Responsibilities Design, develop, and implement generative AI models using state-of-the-art techniques such as Generative Pre-trained Transformers (GPTs), Variational Autoencoders (VAEs), and Generative Adversarial Networks (GANs). Collaborate with cross-functional teams to define AI project goals, research requirements, and develop innovative solutions that align with overall business objectives. Conduct thorough research to stay up-to-date with the latest advancements in generative AI, machine learning, and deep learning techniques, and identify opportunities to integrate new methods into our products and services. Optimize existing generative AI models for improved performance, scalability, and efficiency. Prepare clear and concise documentation of generative AI models, processes, and results. Effectively communicate complex AI concepts and results to both technical and non-technical stakeholders. Your Profile Bachelors/Master's degree in Computer Science, Artificial Intelligence, Machine Learning, or a related field. 1-5 years of experience in developing generative AI models using deep learning frameworks such as TensorFlow or PyTorch. Proven expertise in generative AI techniques such as GPTs, VAEs, and GANs. Strong understanding of machine learning fundamentals, including supervised learning, unsupervised learning, and reinforcement learning. Experience with cloud computing platforms like AWS, Azure, or GCP. Excellent problem-solving, consulting and analytical skills. Strong communication and collaboration skills. Tech Stack Python, Javascript, PyTorch, TensorFlow, AWS/Azure/Google AI Services, NLP Libraries (NLTK, SpaCy) What youll love about working here We recognize the significance of flexible work arrangements to provide support. Be it remote work, or flexible work hours, you will get an environment to maintain healthy work life balance. At the heart of our mission is your career growth. Our array of career growth programs and diverse professions are crafted to support you in exploring a world of opportunities. Equip yourself with valuable certifications in the latest technologies such as Generative AI. About Capgemini Capgemini is a global business and technology transformation partner, helping organizations to accelerate their dual transition to a digital and sustainable world, while creating tangible impact for enterprises and society. It is a responsible and diverse group of 340,000 team members in more than 50 countries. With its strong over 55-year heritage, Capgemini is trusted by its clients to unlock the value of technology to address the entire breadth of their business needs. It delivers end-to-end services and solutions leveraging strengths from strategy and design to engineering, all fueled by its market leading capabilities in AI, cloud and data, combined with its deep industry expertise and partner ecosystem. The Group reported 2023 global revenues of 22.5 billion.

About the Role: We are based in Gurgaon and looking for a Senior Computer Vision Engineer to join our team and help our team to improve and create new technologies. You'll work on projects which makes online assessment more secure and cheating proof. If you're a seasoned computer vision expert with a passion for innovation and a track record of delivering impactful solutions, we would be happy to meet you. Role : Senior Computer Vision Engineer Functional Area : AI Educational Qualification: BTech/MS/MTech/PhD in Computer Science/Computer vision/Signal Processing/Deep Learning or equivalent. Should have worked in an academic or professional setting in the field of computer vision/signal processing. Experience: 2-5 years Location : Gurgaon Key Responsibilities: Develop and optimize advanced computer vision algorithms for image and video analysis tasks. Design, implement and train deep learning models for object detection, face processing, activity recognition and other related tasks. Test and refine models and systems based on real-world data and feedback. Evaluate project requirements, plan and manage the roadmap of a project. Present findings and insights in a clear and concise manner to stakeholders. Collaborate and help to integrate and deploy computer vision systems into broader product architecture. Conduct research to stay updated on emerging computer vision technologies and trends. Automate data preprocessing and annotation processes to streamline workflow efficiency. Maintain comprehensive documentation for algorithms, implementations, and evaluations. Mentor junior engineers and provide strategic guidance on project development. Requirements and skills: Proficiency in Python and knowledge of C++, Java and JS is plus. Solid understanding of neural networks, especially convolutional neural networks (CNNs). Knowledge of RCNNs and vision transformers. Proficient in understanding, designing and implementing deep learning models using frameworks such as TensorFlow, PyTorch and Keras. Understanding of fundamental image processing techniques like image filtering, edge detection, image segmentation and image augmentation. Experience in evaluating computer vision models using relevant metrics and performance indicators. Familiarity with GPU and related technologies which is utilized for improved computational efficiency such as CUDA, CUDNN, tensorRT etc. Familiarity with Python libraries such as OpenCV, NumPy, Pandas and scikit-learn etc. Basic knowledge of linear algebra, calculus, and statistics. Strong critical thinking, analytical, and problem-solving skills Self-motivated, quick learner and strong team player with ability to work with minimal supervision.

Job Title :Data Science Engineer. Location :Remote (India, Ahmedabad Preferred). Shift :UK Shift. We are looking for a Data Science Engineer with 6+ years of experience in developing, deploying, and scaling machine learning models in production environments. This hybrid role combines expertise in data science and machine learning engineering to deliver impactful data-driven solutions at scale. Key Responsibilities. Design and develop machine learning models for various business problems. Implement data preprocessing, feature engineering, and model training in Python and Databricks. Work on model deployment, monitoring, and scaling in cloud or on-premise environments. Develop and optimize data pipelines to support model building and execution. Collaborate with cross-functional teams to ensure model alignment with business needs. Ensure the scalability, performance, and reliability of deployed models. Implement MLOps practices for automated testing, continuous integration, and model versioning. Monitor model performance in production and refine models as needed. Requirements. 6+ years of experience in Data Science, Machine Learning, and Model Deployment. Strong expertise in Python, Databricks, and machine learning frameworks (e.g., scikit-learn, TensorFlow, PyTorch). Experience with data pipeline development and cloud platforms. Knowledge of MLOps practices for scalable and automated model deployment. Strong SQL skills and experience working with large datasets. Familiarity with version control systems (e.g., Git) and containerization (e.g., Docker). Ability to work in a UK shift and collaborate with global teams. Job Type:4 years (Required). Databricks:3 years (Required). Work Location:Remote. (ref:hirist.tech). Show more Show less

Job Title :Data Science Engineer. Location :Remote (India, Ahmedabad Preferred). Shift :UK Shift. We are looking for a Data Science Engineer with 6+ years of experience in developing, deploying, and scaling machine learning models in production environments. This hybrid role combines expertise in data science and machine learning engineering to deliver impactful data-driven solutions at scale. Key Responsibilities. Design and develop machine learning models for various business problems. Implement data preprocessing, feature engineering, and model training in Python and Databricks. Work on model deployment, monitoring, and scaling in cloud or on-premise environments. Develop and optimize data pipelines to support model building and execution. Collaborate with cross-functional teams to ensure model alignment with business needs. Ensure the scalability, performance, and reliability of deployed models. Implement MLOps practices for automated testing, continuous integration, and model versioning. Monitor model performance in production and refine models as needed. Requirements. 6+ years of experience in Data Science, Machine Learning, and Model Deployment. Strong expertise in Python, Databricks, and machine learning frameworks (e.g., scikit-learn, TensorFlow, PyTorch). Experience with data pipeline development and cloud platforms. Knowledge of MLOps practices for scalable and automated model deployment. Strong SQL skills and experience working with large datasets. Familiarity with version control systems (e.g., Git) and containerization (e.g., Docker). Ability to work in a UK shift and collaborate with global teams. Job Type :Full-time. Schedule :UK shift. Application Question(s). Please provide your current CTC, expected CTC and Notice period along with the application. The applications without this information may not be considered. Education :Bachelor's (Required). Experience :Python:4 years (Required). Databricks :3 years (Required). Work Location :Remote. (ref:hirist.tech). Show more Show less

AI/ML Developer Req number: R4983 Employment type: Full time Worksite flexibility: Onsite Who we are CAI is a global technology services firm with over 8,500 associates worldwide and a yearly revenue of $1 billion+. We have over 40 years of excellence in uniting talent and technology to power the possible for our clients, colleagues, and communities. As a privately held company, we have the freedom and focus to do what is right—whatever it takes. Our tailor-made solutions create lasting results across the public and commercial sectors, and we are trailblazers in bringing neurodiversity to the enterprise. Job Summary We are looking for a motivated AI/ML Developer ready to take us to the next level! If you have strong expertise in back-end development with Python/Django and negotiation skills and are looking for your next career move, apply now. Job Description We are looking for an AI/ML Developer to Develop and maintain back-end systems using Python/Django. This position will be 6 months Contract and Hybrid in Pune . What You’ll Do Develop and maintain back-end systems using Python/Django. Work extensively with LLMs and transformer models, including BERT. Design and implement search or recommendation systems, data classification models, or Learning to Rank (LTR) models. Build cutting-edge AI/ML applications from conception to deployment. Maintain exceptional attention to detail and demonstrate a relentless willingness to learn and adapt to new technologies. What You'll Need Required: 2+ years of experience in AI/ML engineering or a related field. Proven expertise in back-end development with Python/Django. Extensive experience with LLMs and transformer models. Strong understanding of search or recommendation systems, data classification, or LTR models. A commitment to continuous learning and a proactive approach to problem-solving. Physical Demands Ability to safely and successfully perform the essential job functions Sedentary work that involves sitting or remaining stationary most of the time with occasional need to move around the office to attend meetings, etc. Ability to conduct repetitive tasks on a computer, utilizing a mouse, keyboard, and monitor Reasonable accommodation statement If you require a reasonable accommodation in completing this application, interviewing, completing any pre-employment testing, or otherwise participating in the employment selection process, please direct your inquiries to application.accommodations@cai.io or (888) 824 – 8111.

Job Title: Machine Learning Engineer Location: Jaipur Job Type: Full-Time About the Role We are looking for a Machine Learning Engineer with expertise in YOLO, custom ML models, and deep learning to join our team. If you have 4+ years of experience in developing and deploying computer vision solutions, this is an exciting opportunity to work on cutting-edge AI applications. Key Responsibilities Develop, train, fine-tune, and optimize YOLO-based object detection models (YOLOv5, YOLOv8, etc.). Design and implement custom ML models tailored to specific business needs. Handle large-scale datasets, including data collection, preprocessing, and augmentation. Deploy ML models in cloud environments (AWS, GCP, Azure) and edge computing platforms (Jetson Nano, Raspberry Pi, Coral TPU, etc.). Optimize ML models using techniques such as quantization, pruning, and model compression. Evaluate and improve model performance using mAP (mean Average Precision), IoU (Intersection over Union), precision-recall, and F1-score. Work closely with data scientists, software engineers, and DevOps teams to integrate models into production systems. Stay updated with the latest advancements in deep learning, computer vision, and AI model optimization. Required Skills & Qualifications Minimum 4+ years of experience in Machine Learning, Deep Learning, and Computer Vision. Strong expertise in YOLO-based object detection models (YOLOv5, YOLOv7, YOLOv8, etc.). Proficiency in Python, TensorFlow, PyTorch, and Keras. Experience with OpenCV, FastAPI, Flask for computer vision applications and API deployment. Knowledge of ONNX, TensorRT for model deployment and optimization. Familiarity with Docker, Kubernetes, MLflow, Kubeflow, and Airflow for MLOps and model lifecycle management. Experience working with cloud-based ML services (AWS SageMaker, Google Vertex AI, Azure ML). Strong understanding of CNNs, RNNs, Transformers, and other deep learning architectures. Hands-on experience in dataset annotation, synthetic data generation, and image preprocessing. Preferred Qualifications Experience in real-time AI applications, robotics, smart surveillance, or autonomous systems. Knowledge of Edge AI deployment on NVIDIA Jetson, Coral TPU, or Raspberry Pi. Experience with generative AI models, self-supervised learning, and synthetic data creation. Prior work in video analytics, smart security systems, healthcare AI, or industrial automation.

We are RadarRadar , experts in the commodity production, trade and processing industry. As a technology company we continuously aim to support our clients with strong data C analytics and business intelligence tools. It is our mission to enable companies to unlock the full potential of their data to improve risk and margin management and boost performance. As a Machine Learning (ML) Engineer you will work alongside an engineering team that builds RadarRadar machine learning tools for our clients. We are looking for an individual with deep experience in designing, implementing, assessing, and refining machine learning models. You love to work- and think progressively, because as first movers we need to stay ahead of market trends and deliver first class products. What will you do: Design and implement ML/AI solutions to optimize and enhance the RadarRadar product suite. Adhering to high quality development principles while delivering solutions on time. Participate in scrum related activities (stand-ups, planning, demo sessions, etc.) Work closely with cross-functional teams, including product, and engineering, to align ML/AI capabilities with business goals. Create technical documentation and specifications for feature integrations. Conduct research/implementation of latest industry standard best practices. Break down, estimate, and implement features containing multiple tasks. Review, assess and improve the full set of activities presented above. What will you bring: 3+ years of professional experience as a ML engineer or a similar role. Proficiency with state-of-the-art ML models and frameworks (e.g., Keras, NumPy, scikit-learn, PyTorch, TensorFlow). Knowledge/interest in current progressions in the AI world and interest in enterprise level development of AI models using LLM APIs (e.g. OpenAI, Gemini, Claude, Anthropic). Expertise in hyperparameter tuning to optimize model performance. Familiarity with Explainable AI (XAI) techniques. Advanced Python programming skills (min. 2 years of experience). T-SQL (SQL Server) proficient level of knowledge (min. 1-2 years), experience working with stored procedures, functions, triggers, indexes, dynamic SQL, query performance tuning. Comfortable with complexity and pursuit of excellent results, willing to learn on the job. A proactive thinker who can work independently and bring innovative ideas. Balances hard skills with interpersonal ability. Strong knowledge of clean code principles. Ability to work in a collaborative manner. What you will get: Rotterdam-based hybrid workplace model A competitive salary and working with an amazing team. Flexible working hours and your own laptop. Friday drinks and (virtual) team events. Company merchandise. An inspiring environment where you learn every day. Personal development plan to help you reach your personal goals.

Overview Need Data Analyst, Business Analyst with telecom domain experience. Should have handson in Lead to Cash and Trouble to Resolve journeys and processes for Fibre access products. Should have solid understanding on different Service Fulfilment and Service Assurance journey metrics. Must have exposure to deriving insights using data, should understand the existing process, identify improvements in the journey/processes, propose solutions on the identified improvement areas and provide consulting service to the telecom service provider. Must have hands-on in writing SQL queries. Experience using data visualization tools (eg QLIK, Spotfire, Tableau, Microsoft Power BI, etc) is optional. Should have experience in value tracking the business benefit for the delivered solution against the envisaged improvement in business metrics. Identify trends and make recommendations for quality and operational improvement. Collaborate with leaders to understand key value drivers and challenges within their business units and determine the key metrics and insights that can help improve the business (Enhanced CX, Right First Time, On Time, This Time). Continually think of new ways that data-driven insights can help telecom service operations team. High competency in leveraging BA tools and techniques. Knowledge on AI/ML models, Bard or Chatgpt is desirable. Demonstrate traceable business and functional requirements (show work examples) Monitor, manage, and ensure predictable delivery of the project in a deadline-driven environment. Compile analytical and statistical reports. Review information for accuracy and reconcile data. Responsibilities General: Strong interpersonal and teamwork skills, with the ability to interact with business users, technical IT groups, project managers, senior management, outsourced service providers, and vendors Experience as a Business Analyst in Telecom domain. Highly experienced in SDLC/Agile will be a Plus. Excellent oral and written communication skills; able to organize and clearly present ideas in a convincing and compelling manner Excellent interpersonal skills to gain understanding of requirements and priorities, manage stakeholder expectations, recognize non-communicated requirements and bring them to light Ability to operate effectively in a matrix environment; team player yet able to work independently with minimal direction Familiarity with Telecom domain - Service Fulfilment or Service Assurance or Network build processes for Fibre access products Basic knowledge of different network nodes in Fibre access network topology Atleast 6 years experience in a relevant business environment, including atleast 3 year experience in data analysis using SQL etc. Experience and comprehensive understanding of data collection, transformation and presentation processes. Experience in data transformation/visualisation tools (eg QLIK, Spotfire, Tableau, Microsoft Power BI, etc) is optional. Experience with application design, testing and deployment Experience using statistical computer languages (Python, R, SQL etc to manipulate data and draw insights from large data sets. Experience in AI/ML models, Bard or Chatgpt is desirable. Data Analysis: Establish analytical rigor and statistical methods to analyze large amounts of data, using advanced statistical techniques and mathematical analyses. Collaborate with teams to understand business partner and client needs, share and syndicate output of analytical models, and provide support during implementation, where needed. Good knowledge and hands on in Data ingestion, Data modeling, Data Engineering (data lake)/ Data visualisation. Predictive Modelling: Develop and execute new and/or highly complex algorithms and statistical predictive models is desirable. Determine analytical approaches and modelling techniques to evaluate potential future outcome is desirable. Consolidate data across multiple sources and databases to make it easier to locate and access is desirable. Requirements Bachelor's degree (in any field) is mandatory. MSc/BE / Masters with specialization in IT/Computer Science is desired. Atleast 5 years of work experience. Adaptability and experience working in multi-channel delivery projects is preferred Experience in Advanced Data Science, proficiency in applying ML, NLP algorithms such as regression, classification, neural networks is desirable. Basic level of expertise in data pipeline creation, technical coding skills, database design, data modelling and mining, cloud enablement and machine learning and artificial intelligence using mathematical and statistical analysis is desirable. Basic level of expertise in result orientation and excellence, adaptability, initiative and analytical thinking is required. Technical knowledge of Telecom, T-SQL, PL-SQL, Python/R/ SAS/Scala, frameworks such as Tensorflow, Keras and GIT, AWS, GCP and Azure is desired.

Capgemini Invent Capgemini Invent is the digital innovation, consulting and transformation brand of the Capgemini Group, a global business line that combines market leading expertise in strategy, technology, data science and creative design, to help CxOs envision and build whats next for their businesses. Your role Developing and implementing advanced analytical models to derive actionable insights from large datasets. Utilizing machine learning techniques, predictive modeling, and statistical analysis to solve complex workforce-related challenges. Utilizing deep learning techniques and frameworks (e.g., TensorFlow, PyTorch) for advanced predictive analytics. Publishing articles, presenting at conferences, and participating in relevant forums (Thought Leadership). Performing natural language processing (NLP) and sentiment analysis for extracting insights from unstructured data sources. Your Profile Minimum of 5 years of experience in data science, analytics, or a related role, with at least 2 years in a leadership capacity. Strong proficiency in data manipulation, analysis, and visualization tools such as Python, R, SQL, and Tableau. Excellent communication skills with the ability to translate complex analytical findings into business insights for non-technical stakeholders. Familiarity with cloud-based data platforms (e.g., AWS, Azure, Google Cloud) and distributed computing for handling large-scale datasets. What you will love about working here We recognize the significance of flexible work arrangements to provide support . Be it remote work, or flexible work hours, you will get an environment to maintain healthy work life balance. At the heart of our mission is your career growth. Our array of career growth programs and diverse professions are crafted to support you in exploring a world of opportunities. Equip yourself with valuable certifications in the latest technologies such as Generative AI. About Capgemini Capgemini is a global business and technology transformation partner, helping organizations to accelerate their dual transition to a digital and sustainable world, while creating tangible impact for enterprises and society. It is a responsible and diverse group of 340,000 team members in more than 50 countries. With its strong over 55-year heritage, Capgemini is trusted by its clients to unlock the value of technology to address the entire breadth of their business needs. It delivers end-to-end services and solutions leveraging strengths from strategy and design to engineering, all fueled by its market leading capabilities in AI, cloud and data, combined with its deep industry expertise and partner ecosystem. The Group reported 2023 global revenues of 22.5 billion.

Hi Techies , Wishes from GSN !!! Pleasure connecting with you!!! We been into Corporate Search Services for Identifying & Bringing in Stellar Talented Professionals for our reputed IT / Non-IT clients in India. We have been successfully providing results to various potential needs of our clients for the last 20 years. At present, GSN is hiring Data Science for one of our leading MNC client. PFB the details for your better understanding: 1. WORK LOCATION: Bangalore 2. Job Role: Data Science 3. EXPERIENCE: 4 -15 yrs 4. CTC Range: 18 LPA - 30LPA 5. Work Type: Hybrid ****** Looking for SHORT JOINERs ****** Job Description: Technical Skills - Must Have Knowledge of Natural Language Processing (NLP)techniques and frameworks like Spacy, NLTK, etc. and good knowledge of Text Analytics Should have strong understanding & hands on experience with machine learning frameworks like scikit-learn, tensorflow, keras and deep learning architectures like RNNs and LSTM , BERT Should have worked with cognitive services from major cloud platforms like AWS and have a working knowledge of SQL and no-SQL databases . Ability to create data and ML pipelines for more efficient and repeatable data science projects using MLOps principles Keep abreast with new tools, algorithms and techniques in machine learning and works to implement them in the organization Strong understanding of evaluation and monitoring metrics for machine learning projects Strong understanding of containerization using docker and Kubernetes to get the models into production Ability to Translate complex machine learning problem statements into specific deliverables and requirements Adept at Python Scripting ****** Looking for SHORT JOINERs ****** Thanks & Regards, Shobana GSN Consulting Email: shobana@gsnhr.net Web: www.gsnhr.net Google Review : https://g.co/kgs/UAsF9W

Hi Techies , Wishes from GSN !!! Pleasure connecting with you!!! We been into Corporate Search Services for Identifying & Bringing in Stellar Talented Professionals for our reputed IT / Non-IT clients in India. We have been successfully providing results to various potential needs of our clients for the last 20 years. At present, GSN is hiring PYTHON DEVELOPER(AIML) for one of our leading MNC client. PFB the details for your better understanding: 1. WORK LOCATION: Bangalore 2. Job Role: Python Developer 3. EXPERIENCE: 4 -15 yrs 4. CTC Range: 18 LPA - 30LPA 5. Work Type: Hybrid ****** Looking for SHORT JOINERs ****** Job Description: Technical Skills - Must Have • Expertise in Python : Design, develop, and maintain robust and scalable back-end APIs using Python and relevant frameworks. • Implement efficient algorithms and data structures to handle complex calculations and data processing. • Integrate with various databases and third-party APIs for data access and functionality. • Ensure code quality through unit testing, code reviews, and best practices. • Analyze and understand raw data & Develop data pipelines to wrangle data • ML model development and algorithm design . • Interpret trends and patterns, visualization tool, python graph libs. • Good knowledge of python , DS, Pandas, Scykit, NumPy, TensorFlow, keras, etc. • Open AI, GCP - AI services (vertex AI, etc.), Azure - AI services, Aws- AI services, MLops, NLP. • Contribute to CI/CD pipelines for automated deployments and testing using Kubernetes. ****** Looking for SHORT JOINERs ****** Thanks & Regards, Shobana GSN Consulting Email: shobana@gsnhr.net Web: www.gsnhr.net Google Review : https://g.co/kgs/UAsF9W

Machine learning artificial intelligence data science Python TensorFlow PyTorch Keras, Scikit-learn Ollama AI/ML technologies

Develop & enhance OCR systems,object detection, DocTR by Mindee for end-to-end document analysis,LayoutLM and YOLOv8 integrating visual,Design and apply Neural Networks ,Develop tactical automations using python Robo framework,Employ sklearn,pytorch

Capgemini Invent Capgemini Invent is the digital innovation, consulting and transformation brand of the Capgemini Group, a global business line that combines market leading expertise in strategy, technology, data science and creative design, to help CxOs envision and build whats next for their businesses. Your Role Seeking an experienced and result-oriented individual to join the People Analytics team in the role of "Data Scientist-Senior Consultant." Strong analytical, statistical, and programming skills are essential. Ability to understand and break down complex business problems, define a solution, and implement using advanced analytical methods. Collaborate with Data Scientists and contribute individually to deliver analytical solutions. Excellent written and verbal communication skills for coordinating across teams and explaining solutions. Good to have knowledge of people/HR data & systems but not necessary. Your Profile Applied statistics skills such as distributions, statistical testing, regression, and proficient application of generative AI techniques for advanced data analysis. Deep knowledge and experience in creating and using advanced machine learning algorithms (Artificial Neural Networks, Naive Bayes, SVM, Decision Forests, etc.). Good working knowledge of machine learning packages like Pandas, NumPy, Scikit-learn, Keras, TensorFlow. Experience in model training and deployment on any of the Cloud environments like AWS, GCP, or Azure. Strong data manipulation skills using SQL, PLSQL, and hands-on working knowledge of Pyspark, Python, R, and Big Data (ability to pick up any new language as required). Good to have experience in Text analytics like NLP. General data engineering skills, including expertise in data manipulation, transformation, and integration. What you will love about working here We recognize the significance of flexible work arrangements to provide support. Be it remote work, or flexible work hours, you will get an environment to maintain healthy work life balance. At the heart of our mission is your career growth. Our array of career growth programs and diverse professions are crafted to support you in exploring a world of opportunities. Equip yourself with valuable certifications in the latest technologies such as Generative AI. About Capgemini Capgemini is a global business and technology transformation partner, helping organizations to accelerate their dual transition to a digital and sustainable world, while creating tangible impact for enterprises and society. It is a responsible and diverse group of 340,000 team members in more than 50 countries. With its strong over 55-year heritage, Capgemini is trusted by its clients to unlock the value of technology to address the entire breadth of their business needs. It delivers end-to-end services and solutions leveraging strengths from strategy and design to engineering, all fueled by its market leading capabilities in AI, cloud and data, combined with its deep industry expertise and partner ecosystem. The Group reported 2023 global revenues of 22.5 billion.

Entity :- Accenture Strategy Consulting Team :- Strategy Consulting Global Network Practice :- Data AI - CMT Career Level :Consultant Level 9 Job Posting Title :SC Global Network - AI - CMT - Consultant Data Science LLM Job Profile: IndFunc AI Decision Science Consultant Job location :- Bangalore /Gurgaon Accenture Strategy Consulting Global Network - Data AI practice help our clients grow their business in entirely new ways. Analytics enables our clients to achieve high performance through insights from data - insights that inform better decisions and strengthen customer relationships. From strategy to execution, Accenture works with organizations to develop analytic capabilities - from accessing and reporting on data to predictive modelling - to outperform the competition As part of our Data AI practice, you will join a worldwide network of over 20,000 smart and driven colleagues experienced in leading AI/ML/Statistical tools, methods and applications. From data to analytics and insights to actions, our forward-thinking consultants provide analytically informed, issue-based insights at scale to help our clients improve outcomes and achieve high performance. About Comms Media practice within Strategy Consulting: Comms Media (CM) is one of the Industry Practices within Accenture's SC Global Network team. It focuses in serving clients across specific Industries Communications, Media Entertainment. Communications Focuses primarily on industries related with telecommunications and information communication technology (ICT). This team serves most of the world's leading wireline, wireless, cable and satellite communications and service providers Media Entertainment Focuses on industries like broadcast, entertainment, print and publishing Globally, Accenture Comms Media practice works to develop value growth strategies for its clients and infuse AI GenAI to help deliver top their business imperatives i.e., revenue growth cost reduction. From multi-year Data AI transformation projects to shorter more agile engagements, we have a rapidly expanding portfolio of hyper-growth clients and an increasing footprint with next-gen solutions and industry practices. Responsibilities/Authorities LLM experienced data science consultant is responsible to help the clients with designing delivering AI solutions. He/she should be strong in AI fundamentals and should have good hands-on experience working with any one of the following areas : Generative AI Techniques and Tools Understanding basics of different LLM algorithms and their applications (Must Have) LLM Model Fine Tuning Techniques and deployment (Must Have) Prompt Designing/Engineering (Must Have) GANs (Generative Adversarial Networks):Understanding and implementation of GANs for image and text generation. VAEs (Variational Autoencoders):Experience with VAEs for generative modelling. Reinforcement Learning for Generation:Techniques like RLHF Natural Language Processing (NLP) Tools and Libraries Transformers:Experience with transformer-based models like BERT, GPT, T5, etc. spaCy :For advanced NLP tasks such as tokenization, named entity recognition, and dependency parsing. NLTK:Basic NLP tasks and text preprocessing. Gensim /LDA :For topic modelling and word embedding techniques. Machine Learning and Deep Learning Frameworks TensorFlow:Experience with model building, training, and deployment PyTorch :Proficiency in developing and fine-tuning deep learning models Keras :Knowledge of using Keras as a high-level API for TensorFlow Scikit-learn:For traditional machine learning tasks and preprocessing Cloud Platforms and Services MS Azure:Knowledge of Azure OpenAI, AI Studio etc. AWS (Amazon Web Services):Knowledge of S3, EC2, SageMaker, Lambda, etc. Google Cloud Platform (GCP):Knowledge of Vertex AI Platform, BigQuery , Cloud Storage, etc. Other Key Responsibilities : Ability to work with large data (Structured Unstructured) and present conclusions to key stakeholders Gather business requirements from client stakeholders via interactions like interviews and workshops with all stakeholders Track down and read all previous information on the problem or issue in question. Explore obvious and known avenues thoroughly. Ask a series of probing questions to get to the root of a problem. Ability to understand the as-is process; understand issues with the processes which can be resolved either through Data AI or process solutions and design detail level to-be state Partner with clients to understand end clients' business goals, marketing objectives , and competitive constraints. Storytelling Crunch the data numbers to craft a story to be presented to senior client stakeholders. Propose solutions to the client based on gap analysis for the existing Telco platforms that can generate long term sustainable value to the client. Qualifications JOB REQUIREMENTS : Overall 4 + years of experience in Data Science Masters (MBA/MSc/MTech) from a Tier 1/Tier 2 and Engineering from Tier 1 school , is preferred Demonstrated experience in solving real-world data problems through Data AI (Specially Gen AI) Please note we are looking for client facing roles. Proficiency with data mining, mathematics, and statistical analysis Advanced pattern recognition and predictive modeling experience; knowledge of Advanced analytical fields in text mining, Image recognition, video analytics, IoT etc. Experience using digital statistical modeling software (one or more) Python , R, PySpark , SQL, BigQuery , Vertex AI Proficient in Excel, MS word, Power point, and corporate soft skills Excellent written and oral communication skills with ability to clearly communicate ideas and results to non-technical stakeholders. Self-Starter with ability to work independently across multiple projects and set priorities Strong team player Proactive and solution oriented, able to guide junior team members

Skill required: IX Intelligent Asset Management Operations - Asset Data Management Designation: Asset Performance Mgmt Senior Analyst Qualifications: Any Graduation Years of Experience: 5 to 8 years What would you do? Role:Process Simulation EngineerThe Process Simulation Engineer is part of the Process Engineering and Automation Chapter within Client's and supports Client's Facilities and Operations of the Future program. This role is responsible for work supporting key research and development of digital engineering computer-based modeling and simulation tools to enhance the company s facilities engineering models. This role involves working with various types of equipment models, including facilities process models, pipeline models, and other specialty models. The engineer will utilize steady state process models, dynamic process models, data-driven models, and special modeling technologies to evaluate improvements to process simulation workflows. What are we looking for? B.S. Process/Chemical EngineeringSignificant field (10+ years) experience working process engineering and/or process control roles in the Downstream and/or Upstream sectors of Operator or EPC companies in the Oil and Gas value chain.5+ yrs of experience in software engineering, data engineering and cloud computing platforms (Azure).PhD (preferred), M.S, in a STEM-related field such as Chemical Engineering or Computer Science.Proficient with Agile and Waterfall project management methodologies and tools. Proven experience using Azure DevOps for managing user stories, dashboards, queries, code repos and code version control.Prior experience with programming languages such as Python and C# , and data science libraries such as Numpy, Scikit-learn, Pandas, Matplotlib, Seaborn, Keras, TensorFlow.Experience with process simulation and monitoring software such as Hysys (required), Flarenet (required), ProII (required), AspenOnline (preferred). Roles and Responsibilities: Research & Development of new technologies in Digital Process Systems Engineering space. The roles spans technologies related to process simulation & modeling, process control and optimization, technical safety, among others.Identification, scoping, development and timely delivery of Product Features and User Stories under Scaled Agile Framework (SAFE) or Waterfall project management methodologies.Interfacing with a broad set of stakeholders in Client Technology Center and Business Units, and with external parties such as industry partners and vendors.Research, develop and oversee R&D efforts for process simulations for facilities engineering models.Utilize tools such as Aspen HYSYS, Promax, and HTRI for process modeling and simulation.Evaluate engineering documents such as process flow diagrams (PFDs) and guidelines to develop simulations of simple processes.Resolve basic modeling issues and assist with the interpretation and reporting of modeling results.Follow established guidelines for thermodynamic packages and specific technology modeling strategies. Qualifications Any Graduation

Project Role : AI / ML Engineer Project Role Description : Develops applications and systems that utilize AI tools, Cloud AI services, with proper cloud or on-prem application pipeline with production ready quality. Be able to apply GenAI models as part of the solution. Could also include but not limited to deep learning, neural networks, chatbots, image processing. Must have skills : Machine Learning Good to have skills : NA Minimum 5 year(s) of experience is required Educational Qualification : BE Summary :As an AI/ML Engineer, you will be responsible for developing applications and systems that utilize AI tools and Cloud AI services. Your typical day will involve applying GenAI models, developing deep learning and neural network models, and working on chatbots and image processing using machine learning techniques. Roles & Responsibilities: Develop and deploy AI models using machine learning techniques such as deep learning, neural networks, and chatbots. Collaborate with cross-functional teams to develop and implement AI solutions that meet business requirements. Apply GenAI models as part of the solution and ensure proper cloud or on-prem application pipeline with production-ready quality. Stay updated with the latest advancements in AI and machine learning, integrating innovative approaches for sustained competitive advantage. Communicate technical findings effectively to stakeholders, utilizing data visualization tools for clarity. Professional & Technical Skills: Must To Have Skills:Strong experience in Machine Learning. Good To Have Skills:Experience with deep learning, neural networks, chatbots, and image processing. Experience with Cloud AI services and tools. Strong understanding of statistical analysis and machine learning algorithms. Experience with data visualization tools. Experience in developing and deploying AI models in a production environment. Additional Information: The candidate should have a minimum of 5 years of experience in Machine Learning. The ideal candidate will possess a strong educational background in AI/ML Computational Science, Data & AI, or a related field, along with a proven track record of delivering impactful data-driven solutions. This position is based at our Mumbai office. Qualifications BE

Job Area: Engineering Group, Engineering Group > Systems Engineering General Summary: Qualcomm XR Research India is rapidly expanding to offer state of the art and futuristic XR solutions that would shape the future of Augmented Reality (AR), Virtual Reality (VR), and Mixed Reality (MR) use cases. At XR ML systems team, we are interested in optimally splitting the XR workloads across different compute devices to further nurture the Qualcomm devices ecosystem. We prefer candidates with a strong academic background in AI/ML/DL areas with a significant industrial experience in understanding and analyzing AI workflows, optimizing, integrating and packaging these algorithms on real-world AI products on embedded platforms. Responsibilities: As a dependable Individual Contributor in this role, you will be holding the following responsibilities. Quickly comprehending SOTA AI algorithms implementing on Linux PC, migrating to Qualcomm HW, Profiling and Optimizing those algorithms Systems thinking for dissecting any XR use-case to a set of AI/ML/DL algorithms and quickly building prototypes which are both accurate and efficient in Python and/or C++. System level analysis of CV/AI/ML usecases and workloads and mapping algo blocks to HW accelerators like HTP, GPU and NSP Quickly ramping up on Qualcomm ML tools like SNPE, QNN SDK and AIMET and using these tools to analyze and improve the performance of external and home-grown ML/DL algorithms on Qualcomm devices. Strong Ownership on delivering high quality results and meeting project timelines by proactively unblocking constraints by interacting with key stakeholders in SW, Algorithms and Tooling teams. Periodically communicating the progress to key-stake holders through oral and written methods, seek feedback and instrument solutions to address the gaps. Minimum Qualifications: 4+ years of hands-on experience with developing, optimizing and deploying ML models on embedded platforms, with a Masters degree in electrical engineering, information systems, computer science, or related field. Very good proficiency in transformer-based DL algorithms Very good proficiency in programming languages that include Python, C and C++. Very good proficiency and hands on experience in State-of-the-art DL frameworks like PyTorch, ONNX and Tensorflow and opensource libraries. Strong communication skills and inter-personal skills to work effectively in a team. Preferred Qualifications: Profiling of ML models on different target platforms, locating bottlenecks and suggesting workarounds Hands-on experience with DNN optimization techniques like Quantization, Pruning and Network Arch Search System level analysis of CV/AI/ML usecases and workloads, locating bottlenecks and optimizing for performance. Optimal task-partitioning of CV/Ai/ML workloads across multiple compute devices for the best power-perf-accuracy tradeoffs Systematically estimating power-perf-accuracy of AI algorithms on futuristic SOCs/ HW accelerators through compute, memory and bandwidth constraints is a huge plus Hands on experience with Qualcomm tools like AIMET, QNN SDK and SNPE is a huge plus Minimum Qualifications: Bachelor's degree in Engineering, Information Systems, Computer Science, or related field and 3+ years of Systems Engineering or related work experience. OR Master's degree in Engineering, Information Systems, Computer Science, or related field and 2+ years of Systems Engineering or related work experience. OR PhD in Engineering, Information Systems, Computer Science, or related field and 1+ year of Systems Engineering or related work experience. Applicants :Qualcomm is an equal opportunity employer. If you are an individual with a disability and need an accommodation during the application/hiring process, rest assured that Qualcomm is committed to providing an accessible process. You may e-mail disability-accomodations@qualcomm.com or call Qualcomm's toll-free number found here. Upon request, Qualcomm will provide reasonable accommodations to support individuals with disabilities to be able participate in the hiring process. Qualcomm is also committed to making our workplace accessible for individuals with disabilities. (Keep in mind that this email address is used to provide reasonable accommodations for individuals with disabilities. We will not respond here to requests for updates on applications or resume inquiries). Qualcomm expects its employees to abide by all applicable policies and procedures, including but not limited to security and other requirements regarding protection of Company confidential information and other confidential and/or proprietary information, to the extent those requirements are permissible under applicable law. To all Staffing and Recruiting Agencies :Our Careers Site is only for individuals seeking a job at Qualcomm. Staffing and recruiting agencies and individuals being represented by an agency are not authorized to use this site or to submit profiles, applications or resumes, and any such submissions will be considered unsolicited. Qualcomm does not accept unsolicited resumes or applications from agencies. Please do not forward resumes to our jobs alias, Qualcomm employees or any other company location. Qualcomm is not responsible for any fees related to unsolicited resumes/applications. If you would like more information about this role, please contact Qualcomm Careers.