802 Neural Networks Jobs - Page 22

About this Opportunity The complexity of running and optimizing the next generation of wireless networks, such as 5G with distributed edge compute, will require Machine Learning (ML) and Artificial Intelligence (AI) technologies. Ericsson is setting up an AI Accelerator Hub in India to fast-track our strategy execution, using Machine Intelligence (MI) to drive thought leadership, automate, and transform Ericsson s offerings and operations. We collaborate with academia and industry to develop state-of-the-art solutions that simplify and automate processes, creating new value through data insights. What you will do As a Senior Data Scientist, you will apply your knowledge of data science and ML tools backed with strong programming skills to solve real-world problems. Responsibilities: 1. Lead AI/ML features/capabilities in product/business areas 2. Define business metrics of success for AI/ML projects and translate them into model metrics 3. Lead end-to-end development and deployment of Generative AI solutions for enterprise use cases 4. Design and implement architectures for vector search, embedding models, and RAG systems 5. Fine-tune and evaluate large language models (LLMs) for domain-specific tasks 6. Collaborate with stakeholders to translate vague problems into concrete Generative AI use cases 7. Develop and deploy generative AI solutions using AWS services such as SageMaker, Bedrock, and other AWS AI tools. Provide technical expertise and guidance on implementing GenAI models and best practices within the AWS ecosystem. 8. Develop secure, scalable, and production-grade AI pipelines 9. Ensure ethical and responsible AI practices 10. Mentor junior team members in GenAI frameworks and best practices 11. Stay current with research and industry trends in Generative AI and apply cutting-edge techniques 12. Contribute to internal AI governance, tooling frameworks, and reusable components 13. Work with large datasets including petabytes of 4G/5G networks and IoT data 14. Propose/select/test predictive models and other ML systems 15. Define visualization and dashboarding requirements with business stakeholders 16. Build proof-of-concepts for business opportunities using AI/ML 17. Lead functional and technical analysis to define AI/ML-driven business opportunities 18. Work with multiple data sources and apply the right feature engineering to AI models 19. Lead studies and creative usage of new/existing data sources What you will bring 1. Bachelors/Masters/Ph.D. in Computer Science, Data Science, AI, ML, Electrical Engineering, or related disciplines from reputed institutes 2. 3+ years of applied ML/AI production-level experience 3. Strong programming skills (R/Python) 4. Proven ability to lead AI/ML projects end-to-end 5. Strong grounding in mathematics, probability, and statistics 6. Hands-on experience with data analysis, visualization techniques, and ML frameworks (Python, R, H2O, Keras, TensorFlow, Spark ML) 7. Experience with semi-structured/unstructured data for AI/ML models 8. Strong understanding of building AI models using Deep Neural Networks 9. Experience with Big Data technologies (Hadoop, Cassandra) 10. Ability to source and combine data from multiple sources for ML models Preferred Qualifications: 1. Good communication skills in English 2. Certifying MI MOOCs, a plus 3. Domain knowledge in Telecommunication/IoT, a plus 4. Experience with data visualization and dashboard creation, a plus 5. Knowledge of Cognitive models, a plus 6. Experience in partnering and collaborative co-creation in a global matrix organization. Primary country and city: India (IN) || Bangalore Req ID: 766481

Job Title - S&C GN - Data Science Consultant Location:Bengaluru, Gurugram, Mumbai, Kolkata, Pune, Chennai, Hyderabad Must have skills:Machine Learning, Deep Learning, Gen AI, NLP, Python, R, AI, SQL Good to have skills: Experience in Graph Neural Networks (GNNs) for complex relational data modelling. Expertise in LLM Optimization, including fine-tuning, prompt engineering, and efficient deployment of Large Language Models. A track record of scientific publications or intellectual property generation demonstrating expertise in AI and data science. We are an innovative Data Science team specializing in the Contact Center domain, dedicated to transforming customer interactions through data-driven intelligence. As part of the Marketing Analytics team, we focus on optimizing contact center operations by leveraging machine learning, natural language processing (NLP), and advanced analytics. Our work involves analyzing customer conversations, predicting user behavior, and enhancing self-service capabilities to reduce call transfers and improve satisfaction. We build conversational AI models, real-time recommendation systems, and predictive analytics solutions that drive meaningful business impact. By integrating AI-driven insights with marketing strategies, we enable proactive customer engagement, personalized experiences, and operational efficiencies across various touchpoints. If you're passionate about applying data science to solve real-world customer experience challenges, this is the team for you! Professional & Technical Skills: As part of our Data Science team, you will play a key role in leveraging Generative AI and Machine Learning to enhance customer experiences and optimize contact center operations. Your responsibilities will include: Developing and fine-tuning Generative AI models to improve customer interactions, automate responses, and enhance self-service capabilities. Building and deploying ML models for various use cases, including intent classification, sentiment analysis, and predictive analytics . Customer segmentation and behavioral analysis to identify patterns, personalize recommendations, and drive targeted engagement strategies. Optimizing conversational AI workflows by improving intent recognition, response generation, and real-time decision-making . Analyzing large-scale customer interaction data to extract actionable insights and refine business strategies. Collaborating with cross-functional teams including engineering, product, and marketing to integrate AI-driven solutions into existing platforms. This role offers the opportunity to work on cutting-edge AI and data science techniques , driving real-world impact in the contact center space. About Our Company | AccentureQualification Experience & Educational Qualification: PhD with 2+ years of relevant experience, OR. Masters degree with 3+ years of experience, OR Bachelors degree with 4+ years of experience.

Skills and Expertise: The consultant should have expertise in the following: 1. Designing, developing, and deploying AI-driven solutions using Python. 2. Developing and deploying Generative AI models for tasks such as text generation, image synthesis, or data augmentation. 3. Designing workflows to fine-tune Large Language Models (LLMs) like GPT or BERT for specific use cases. 4. Experience with Natural Language Processing (NLP) techniques and libraries such as spaCy, NLTK, or Hugging Face Transformers. 5. Proficiency in computer vision techniques and libraries such as OpenCV, TensorFlow, or PyTorch. 6. Implementing and optimizing AI algorithms for performance and scalability. 7. Knowledge of reinforcement learning and its applications. 8. Developing custom API endpoints for model deployment and real-time data processing. Ensuring API security and scalability for handling large volumes of requests efficiently. 9. Integrating third-party APIs to enhance AI functionality (e.g., speech-to-text, language translation, or image recognition). 10. Utilizing deep learning frameworks such as PyTorch or TensorFlow for building neural networks. 11. Strong understanding of AI/ML concepts, including frameworks like scikit-learn and TensorFlow. Experience with Machine Learning libraries for advanced modeling. 12. Experience with AI model deployment and serving using tools like Docker, Kubernetes, or cloud services (AWS, Azure, GCP). 13. Collaborating with data scientists and analysts to integrate machine learning models into production. 14. Hands-on experience with Python, knowledge of Data Analytics to proficiently write and optimize scripts. 15. Writing complex SQL queries to extract, transform, and analyze data from relational/non-relational databases. 16. Proficiency in version control tools such as Git. 17. Knowledge of data visualization tools like Power BI for creating dashboards and reports (good to have). 18. Exposure to ServiceNow for IT service management and automation (good to have). 19. Familiarity with Microsoft Azure cloud services for AI and data processing (good to have). 20. Good communication and presentation skills. .

Collaborate with cross-functional teams to achieve strategic outcomes Apply subject expertise to support operations, planning, and decision-making Utilize tools, analytics, or platforms relevant to the job domain Ensure compliance with policies while improving efficiency and outcomes

Project Role : AI / ML Engineer Project Role Description : Develops applications and systems that utilize AI tools, Cloud AI services, with proper cloud or on-prem application pipeline with production ready quality. Be able to apply GenAI models as part of the solution. Could also include but not limited to deep learning, neural networks, chatbots, image processing. Must have skills : Large Language Models Good to have skills : NAMinimum 15 year(s) of experience is required Educational Qualification : 15 years full time education Summary :As an AI / ML Engineer, you will engage in the development of applications and systems that leverage artificial intelligence tools and cloud AI services. Your typical day will involve designing and implementing production-ready solutions, ensuring that they meet quality standards. You will work with generative AI models and may also explore various domains such as deep learning, neural networks, chatbots, and image processing, contributing to innovative projects that push the boundaries of technology. Roles & Responsibilities:- Expected to be a Subject Matter Expert with deep knowledge and experience.- Should have influencing and advisory skills.- Responsible for team decisions.- Engage with multiple teams and contribute on key decisions.- Expected to provide solutions to problems that apply across multiple teams.- Facilitate knowledge sharing sessions to enhance team capabilities.- Mentor junior professionals to foster their growth and development. Professional & Technical Skills: - Must To Have Skills: Proficiency in Large Language Models.- Experience with cloud-based AI services and deployment strategies.- Strong understanding of deep learning frameworks such as TensorFlow or PyTorch.- Familiarity with natural language processing techniques and tools.- Ability to design and implement scalable AI solutions. Additional Information:- The candidate should have minimum 15 years of experience in Large Language Models.- This position is based at our Gurugram office.- A 15 years full time education is required. Qualification 15 years full time education

Project Role : AI / ML Engineer Project Role Description : Develops applications and systems that utilize AI tools, Cloud AI services, with proper cloud or on-prem application pipeline with production ready quality. Be able to apply GenAI models as part of the solution. Could also include but not limited to deep learning, neural networks, chatbots, image processing. Must have skills : Large Language Models Good to have skills : NAMinimum 15 year(s) of experience is required Educational Qualification : 15 years full time education Summary :As an AI / ML Engineer, you will engage in the development of applications and systems that leverage artificial intelligence tools and cloud AI services. Your typical day will involve designing and implementing production-ready solutions, ensuring that they meet quality standards. You will work with generative AI models and may also explore various domains such as deep learning, neural networks, chatbots, and image processing, contributing to innovative projects that push the boundaries of technology. Roles & Responsibilities:- Expected to be a Subject Matter Expert with deep knowledge and experience.- Should have influencing and advisory skills.- Responsible for team decisions.- Engage with multiple teams and contribute on key decisions.- Expected to provide solutions to problems that apply across multiple teams.- Facilitate knowledge sharing sessions to enhance team capabilities.- Mentor junior professionals to foster their growth and development. Professional & Technical Skills: - Must To Have Skills: Proficiency in Large Language Models.- Strong understanding of cloud computing platforms and services.- Experience with deep learning frameworks such as TensorFlow or PyTorch.- Familiarity with natural language processing techniques and tools.- Ability to design and implement scalable AI solutions. Additional Information:- The candidate should have minimum 15 years of experience in Large Language Models.- This position is based at our Kolkata office.- A 15 years full time education is required. Qualification 15 years full time education

Role & responsibilities A results-driven AI/ML Engineer with a strong foundation in machine learning, deep learning, and data science. Skilled in designing, developing, and deploying intelligent solutions that solve real-world problems across domains such as customer experience, natural language processing, and predictive analytics. Proficient in Python, TensorFlow, PyTorch, and cloud platforms (AWS, GCP, Azure). Experienced in building scalable models, fine-tuning large language models (LLMs), and applying AI to optimize user engagement and business outcomes. Design and implement machine learning models for classification, regression, clustering, and NLP tasks. Build data pipelines for training and inference using structured and unstructured data. Fine-tune pre-trained models (e.g., BERT, GPT, LLaMA, Whisper, RNNoise) for domain-specific tasks. Develop APIs and interfaces to serve AI/ML models at scale (e.g., using FastAPI, Flask, TensorFlow Serving). Collaborate with data engineers to ensure data availability, quality, and consistency. Conduct A/B testing, model validation, and monitor model performance in production. Research and integrate state-of-the-art ML and deep learning techniques. Work with cloud platforms (AWS/GCP/Azure) and MLOps tools for model deployment and lifecycle management. Familiarity with the customer experience domain is a strong advantage 5-10 years of experience. Interested candidates are requested to share their updated CV at deepak.singh@moksatechnologies.com along with the following details: Total Experience: Current CTC: Expected CTC: Current Location: Notice Period:

Key Responsibilities : - Conduct feature engineering, data analysis, and data exploration to extract valuable insights. - Develop and optimize Machine Learning models to achieve high accuracy and performance. - Design and implement Deep Learning models, including Artificial Neural Networks (ANN), Convolutional Neural Networks (CNN), and Reinforcement Learning techniques. - Handle real-time imbalanced datasets and apply appropriate techniques to improve model fairness and robustness. - Deploy models in production environments and ensure continuous monitoring, improvement, and updates based on feedback. - Collaborate with cross-functional teams to align ML solutions with business goals. - Utilize fundamental statistical knowledge and mathematical principles to ensure the reliability of models. - Bring in the latest advancements in ML and AI to drive innovation. Requirements : - 4-5 years of hands-on experience in Machine Learning and Deep Learning. - Strong expertise in feature engineering, data exploration, and data preprocessing. - Experience with imbalanced datasets and techniques to improve model generalization. - Proficiency in Python, TensorFlow, Scikit-learn, and other ML frameworks. - Strong mathematical and statistical knowledge with problem-solving skills. - Ability to optimize models for high accuracy and performance in real-world scenarios. Preferred Qualifications : - Experience with Big Data technologies (Hadoop, Spark, etc.) - Familiarity with containerization and orchestration tools (Docker, Kubernetes). - Experience in automating ML pipelines with MLOps practices. - Experience in model deployment using cloud platforms (AWS, GCP, Azure) or MLOps tools.

Key Responsibilities : - Conduct feature engineering, data analysis, and data exploration to extract valuable insights. - Develop and optimize Machine Learning models to achieve high accuracy and performance. - Design and implement Deep Learning models, including Artificial Neural Networks (ANN), Convolutional Neural Networks (CNN), and Reinforcement Learning techniques. - Handle real-time imbalanced datasets and apply appropriate techniques to improve model fairness and robustness. - Deploy models in production environments and ensure continuous monitoring, improvement, and updates based on feedback. - Collaborate with cross-functional teams to align ML solutions with business goals. - Utilize fundamental statistical knowledge and mathematical principles to ensure the reliability of models. - Bring in the latest advancements in ML and AI to drive innovation. Requirements : - 4-5 years of hands-on experience in Machine Learning and Deep Learning. - Strong expertise in feature engineering, data exploration, and data preprocessing. - Experience with imbalanced datasets and techniques to improve model generalization. - Proficiency in Python, TensorFlow, Scikit-learn, and other ML frameworks. - Strong mathematical and statistical knowledge with problem-solving skills. - Ability to optimize models for high accuracy and performance in real-world scenarios. Preferred Qualifications : - Experience with Big Data technologies (Hadoop, Spark, etc.) - Familiarity with containerization and orchestration tools (Docker, Kubernetes). - Experience in automating ML pipelines with MLOps practices. - Experience in model deployment using cloud platforms (AWS, GCP, Azure) or MLOps tools.

Key Responsibilities : - Conduct feature engineering, data analysis, and data exploration to extract valuable insights. - Develop and optimize Machine Learning models to achieve high accuracy and performance. - Design and implement Deep Learning models, including Artificial Neural Networks (ANN), Convolutional Neural Networks (CNN), and Reinforcement Learning techniques. - Handle real-time imbalanced datasets and apply appropriate techniques to improve model fairness and robustness. - Deploy models in production environments and ensure continuous monitoring, improvement, and updates based on feedback. - Collaborate with cross-functional teams to align ML solutions with business goals. - Utilize fundamental statistical knowledge and mathematical principles to ensure the reliability of models. - Bring in the latest advancements in ML and AI to drive innovation. Requirements : - 4-5 years of hands-on experience in Machine Learning and Deep Learning. - Strong expertise in feature engineering, data exploration, and data preprocessing. - Experience with imbalanced datasets and techniques to improve model generalization. - Proficiency in Python, TensorFlow, Scikit-learn, and other ML frameworks. - Strong mathematical and statistical knowledge with problem-solving skills. - Ability to optimize models for high accuracy and performance in real-world scenarios. Preferred Qualifications : - Experience with Big Data technologies (Hadoop, Spark, etc.) - Familiarity with containerization and orchestration tools (Docker, Kubernetes). - Experience in automating ML pipelines with MLOps practices. - Experience in model deployment using cloud platforms (AWS, GCP, Azure) or MLOps tools.

AI Developer Req number: R5051 Employment type: Full time Worksite flexibility: Hybrid 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’re seeking a problem-solving AI Developer with 3–5 years of hands-on experience in building and deploying deep learning models, including RAG systems and LLM fine-tuning. You’ll work on cutting-edge projects, contribute to open-source initiatives, and solve complex AI challenges. This is a Full-time and Hybrid position. Job Description What You’ll Do Design and implement scalable deep learning models, including RAG architectures and LLM-based solutions. Fine-tune and optimize LLMs for specific use cases (e.g., text generation, summarization). Collaborate on open-source projects and research initiatives. Optimize model performance for latency, accuracy, and scalability. What You'll Need 3–5 years of professional experience in AI/ML development. Expertise in Python and frameworks like TensorFlow/PyTorch. Proven experience with neural networks (CNNs, RNNs, Transformers) and building RAG systems. Hands-on experience in fine-tuning LLMs (e.g., GPT, Llama, Mistral) for domain-specific tasks. Strong portfolio of open-source contributions (GitHub, Kaggle, etc.). Ability to debug, optimize, and deploy models in production environments. Critical thinker with a track record of research-driven problem-solving. Preferred Experience with diffusion models or reinforcement learning. Publications in top AI conferences (NeurIPS, ICML, CVPR). Familiarity with MLOps tools (MLflow, Kubeflow) and vector databases (Pinecone, FAISS). Knowledge of cloud platforms (AWS/GCP/Azure). Physical Demands This role involves mostly sedentary work, with occasional movement around the office to attend meetings, etc. Ability to perform repetitive tasks on a computer, using 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.

Greetings from Blue Altair! Job Overview: We are seeking an experienced and highly skilled Data Science and AI Engineer to join our dynamic team. The ideal candidate will have 5+ years of experience working on cutting-edge data science and AI technologies across various cloud platforms with a strong focus to work on LLMs and SLMs. The role demands a professional capable of performing in a client-facing environment, as well as mentoring and guiding junior team members. Title: Consultant/Sr. Consultant - Data Science Engineer Experience : 5-8 years Location: Pune/Bangalore (Hybrid) Roles and responsibilities: Develop, implement, and optimize machine learning models and AI algorithms to solve complex business problems. Design, build, and fine-tune AI models, particularly focusing on LLMs and SLMs, using state-of-the-art techniques and architectures. Apply advanced techniques in prompt engineering, model fine-tuning, and optimization to tailor models for specific business needs. Deploy and manage machine learning models and pipelines on cloud platforms (AWS, GCP, Azure, etc.). Work closely with clients to understand their data and AI needs and provide tailored solutions. Collaborate with cross-functional teams to integrate AI solutions into broader software architectures. Mentor junior team members and provide guidance in implementing best practices in data science and AI development. Stay up-to-date with the latest trends and advancements in data science, AI, and cloud technologies. Prepare technical documentation and present insights to both technical and non-technical stakeholders. Requirement: 5+ years of experience in data science, machine learning, and AI technologies. Proven experience working with cloud platforms such as Google Cloud, Microsoft Azure, or AWS. Expertise in programming languages such as Python, R, Julia, and AI frameworks like TensorFlow, PyTorch, Scikit-learn, Hugging face Transformers. Knowledge of data visualization tools (e.g., Matplotlib, Seaborn, Tableau) Solid understanding of data engineering concepts including ETL, data pipelines, and databases (SQL, NoSQL). Experience with MLOps practices and deployment of models in production environments. Familiarity with NLP (Natural Language Processing) tasks and working with large-scale datasets. Hands-on experience with generative AI models like GPT, Gemini, Claude, Mistral etc. Client-facing experience with strong communication skills to manage and engage stakeholders. Strong problem-solving skills and analytical mindset. Ability to work independently and as part of a team and mentor and provide technical leadership to junior team members.

About the Role As a Data Science Engineer, you will need strong technical skills in data modeling, machine learning, data engineering, and software development. You will have the ability to conduct literature reviews and critically evaluate research papers to identify applicable techniques. Additionally, you should be able to design and implement efficient and scalable data processing pipelines, perform exploratory data analysis, and collaborate with other teams to integrate data science models into production systems. Passion for conversational AI and a desire to solve some of the most complex problems in the Natural Language Processing space are essential. You will work on highly scalable, stable, and automated deployments, aiming for high performance. Taking on the challenge of building and scaling a truly remarkable AI platform to impact the lives of millions of customers will be part of your responsibilities. Working in a challenging yet enjoyable environment, where learning new things is the norm, you should think of solutions beyond boundaries. You should also drive outcomes with full ownership, deeply believe in customer obsession, and thrive in a fast-paced environment of learning and innovation. You will work in a challenging, consumer-facing problem space, where you can make an immediate impact. You will get to work with the latest technologies, learn to use new tools and get the opportunity to have your say in the final product. Youll work alongside a great team in an open, collaborative environment. We are part of Vimo, a well-funded, stable mid-size company with excellent salaries, medical/dental/vision coverage, and perks. Vimo is an Equal Opportunity Employer. Data Science Engineer Responsibilities: Build and maintain robust data pipelines to process data from varied sources like databases, APIs, and file systems. Harness data science tools and techniques to develop proof of concepts, evolving solutions through adept prompt engineering and fine-tuning of models like GPT. Conduct comprehensive literature reviews and critically evaluate research papers to identify innovative techniques, focusing on the latest advancements in LLM/Generative AI. Create and manage JSON APIs to expose data, machine learning services, and AI models to other systems and applications. Ensure data accuracy, completeness, and reliability through stringent quality control measures and data validation techniques. Optimize existing language models for generative AI tasks, focusing on enhancing their application across various platforms. Work in tandem with product teams to seamlessly integrate cutting-edge AI technologies, upholding the highest quality standards in product execution. Fine-tune and deploy LLMs, ensuring they are meticulously adjusted and ready for release. Engage in ongoing research and application of new methodologies to bolster the efficiency and output quality of our LLM operations. Design and develop LLMs dedicated to a range of content generation tasks, pushing the boundaries of AI's creative capabilities. Keep up to date of the latest trends and breakthroughs in NLP and large language model technology, incorporating novel approaches to refine our models. Lead experiments and analyses to fine-tune model designs and hyperparameters, ensuring superior model performance with continuous monitoring using KPIs and metrics. Demonstrate strong analytical and troubleshooting skills; and someone who enjoys owning and solving problems end-to-end. Excellent communication skills. Comfortable interacting with remote teams in multiple offices that practice agile methodologies. Requirements & Qualifications: Bachelors or masters degree in computer science, Engineering, Mathematics, Statistics, or a related field. Minimum of 2 years of experience in NLP oriented data engineering or data science roles with a significant emphasis on working with LLM/Generative AI models. Robust understanding of NLP concepts, with hands-on experience in conversational AI and expertise in natural language understanding and generation. Proficiency in Python programming and familiarity with libraries and frameworks such as Pandas, NumPy, Scikit-learn, Tensor flow, transformers, PyTorch, and Keras. Solid experience in building, maintaining, and fine-tuning large language models, with a keen understanding of prompt engineering techniques. Strong grasp of data architecture, database design, data modeling principles, and the integration of AI models into scalable systems. Experience with JSON APIs and building RESTful & GRPC web services. Excellent analytical and problem-solving skills, capable of working independently and collaboratively in a team-oriented environment. Showcase proven expertise in working with deep learning frameworks and LLMs, with a strong foundation in prompt engineering, tokenization, embeddings, model optimization, and deployment strategies. Demonstrate previous involvement in creating user-centric products leveraging ML/AI technologies, with a good understanding of predictive modeling, meta-learning, and transfer learning. Excellent problem-solving and communication skills BS degree in Information Technology, Computer Science, or relevant field Additional Experience We Would Love to Have Experience with cloud technologies such as AWS is a plus. Background in design and development of Technology for Government Health and Human Services Experience with design and development of SaaS solutions.

Greetings From Mind Pro Technologies Pvt ltd (www.mindprotech.com) Job Title : Data Scientist Work Location : Karur (Tamil Nadu) or Dharwad (Karnataka ) Np : 15days or Less JOB DESCRIPTION: Must have At least 4+ Years of experience in Python with Data Science. Must have worked on at least one Live project. Experience in relevant field such as Statistics, Computer Science or Applied Math or Operational Research. Must have Masters in (Maths/Statistics or Applied Mathematics/Machine Learning etc.) History of successfully performing customer implementations Strong customer facing skills, and previous consulting experience. Experience of handling high frequency streaming data for real time analysis and reporting. Familiarity with - Natural Language Processing, Statistical Analysis (distribution analysis, correlation, variance, deep learning. Experience in tools like AWS, IBM Watson is a plus. Experience with open source technologies is a must. Excellent communication Ability to lead & build strong teams Ability to work in an ambiguous environment Desired Skills and Experience Languages/Tools: Python/R. Approaches: Machine Learning Concepts: Supervised ANN, Bayesian, Gaussian, Vector Quantization, Logistic Model, Statistical, Predictive Modeling, Minimum Message Length, SVM, Random Forest, Ensembles, ANOVA, Decision Trees, Hidden Markov Models Unsupervised ANN, ARL, Clustering Hierarchical, Cluster Analysis Reinforcement Gen AI, LLM, LSTM, RNN, CNN, KNN Big Data (Good to have): Hadoop /Kafka / Storm / Spark streaming OS: Linux, Windows 32/64 bits. Note: should know supervised and unsupervised learning, semi-supervised learning, neural networks concepts, and how ML algorithms works with training and testing data. Experience on particular data set to train, test and roll-out for production use Tool sets : Python, R, MATLAB or any AI frame work, Neural network, Gen AI, LLM Contact Details: Recruitment Team Mindpro Technologies Pvt Ltd ( www.mindprotech.com ) +91-04324-240904 / +91-9600672304

Key Responsibilities: Provide strategic guidance on AI adoption, ethics, and governance within the organization. Advise on AI-driven business models, innovation strategies, and regulatory compliance. Evaluate AI research, development, and deployment strategies to ensure ethical and sustainable growth. Mentor and collaborate with internal teams on best practices in AI, data science, and machine learning. Assess AI risks, biases, and challenges, providing solutions for responsible AI implementation.

Key Responsibilities: Provide strategic guidance on AI adoption, ethics, and governance within the organization. Advise on AI-driven business models, innovation strategies, and regulatory compliance. Evaluate AI research, development, and deployment strategies to ensure ethical and sustainable growth. Mentor and collaborate with internal teams on best practices in AI, data science, and machine learning. Assess AI risks, biases, and challenges, providing solutions for responsible AI implementation.

Key Responsibilities: Provide strategic guidance on AI adoption, ethics, and governance within the organization. Advise on AI-driven business models, innovation strategies, and regulatory compliance. Evaluate AI research, development, and deployment strategies to ensure ethical and sustainable growth. Mentor and collaborate with internal teams on best practices in AI, data science, and machine learning. Assess AI risks, biases, and challenges, providing solutions for responsible AI implementation.

XenonStack's Artificial Intelligence team is looking for a Machine Learning (ML) Engineer to help us create artificial intelligence products. Machine Learning Engineer responsibilities include creating machine learning models and retraining systems. To do this job successfully, you need exceptional skills in statistics and programming. Your goal will be to shape and build efficient self-learning applications. Key Responsibilities: Study and transform data science prototypes Design machine learning systems Research and implement appropriate ML algorithms and tools Develop machine learning applications according to requirements Select relevant datasets and data representation methods Run machine learning tests and experiments Perform statistical analysis and fine-tuning using test results Train and retrain systems when necessary Extend existing ML libraries and frameworks Keep abreast of developments in the field Requirements Technical Requirement: Knowledge in Machine Learning Engineer or similar role Understanding of data structures, data modelling, and software architecture Deep knowledge of maths, probability, statistics, and algorithms Ability to write robust code in Python, Java, and R Familiarity with machine learning frameworks (like Keras or PyTorch) and libraries (like scikit-learn) Professional Attributes: Excellent communication skills & Attention to detail. Analytical mind and problem-solving Aptitude with Strong Organizational skills & Visual Thinking. Education: Technical Graduates (BCA, BSC, B. Tech), MCA, MSC, and M.Tech with strong data structure and algorithm Skills Benefits: Dynamic and purposeful work culture in a people-oriented organization contributing to multi-million-dollar projects with guaranteed job security. Open, authentic, and transparent communication fostering a warm work environment. Regular constructive feedback and exposure to diverse technologies. Recognition and rewards for exceptional performance achievements. Access to certification courses & Skill Sessions to develop continually and refine your skills. Additional allowances for team members assigned to specific projects. Special skill allowances to acknowledge and compensate for unique expertise. Comprehensive medical insurance policy for your health and well-being.

signdesk is looking for Consultant- AI Developer to join our dynamic team and embark on a rewarding career journey Develops AI-powered applications and tools for business use cases Builds machine learning models and optimizes their deployment Works closely with clients to define AI strategy and solutions Contributes to research, documentation, and training modules

We are seeking an exceptional Data Scientist to join a team of experts in the field of machine learning, and work together to tackle challenging problems across diverse compliance domains. We leverage risk models (including boosted trees and graph neural networks) as well as vision and large-language-models (LLMs) to detect illegal and unsafe products across the Amazon catalog. We work on machine learning problems for multi-modal classification, intent detection, information retrieval, anomaly and fraud detection, and generative AI. This is an exciting and challenging position to deliver scientific innovations into production systems at Amazon-scale to make immediate, meaningful customer impacts while also pursuing ambitious, long-term research. You will work in a highly collaborative environment where you can analyze and process large amounts of image, text and tabular data. You will work on hard science problems that have not been solved before, conduct rapid prototyping to validate your hypothesis, and deploy your algorithmic ideas at scale. There will be something new to learn every day as we work in an environment with rapidly evolving regulations and adversarial actors looking to outwit your best ideas. Explore and evaluate state-of-the-art algorithms and approaches in risk modeling and vision/language models Translate product and CX requirements into measurable science problems and metrics. Collaborate with product and tech partners and customers to validate hypothesis, drive adoption, and increase business impact Evaluate model performance in production and refresh/implement necessary updates to maintain optimal system performance. A day in the life Understanding customer problems, project timelines, and team/project mechanisms Proposing science formulations and brainstorming ideas with team to solve business problems Writing code, and running experiments with re-usable science libraries Reviewing labels and audit results with investigators and operations associates Sharing science results with science, product and tech partners and customers Contributing to team retrospectives for continuous improvements Participating in science research collaborations and attending study groups with scientists across Amazon About the team We are a team of scientists building AI/ML solutions to make Amazon Earth s most trusted shopping destination for safe and compliant products. 2+ years of data scientist experience 3+ years of data querying languages (e.g. SQL), scripting languages (e.g. Python) or statistical/mathematical software (e.g. R, SAS, Matlab, etc.) experience 3+ years of machine learning/statistical modeling data analysis tools and techniques, and parameters that affect their performance experience Experience applying theoretical models in an applied environment Knowledge of relevant statistical measures such as confidence intervals, significance of error measurements, development and evaluation data sets, etc. Experience in Python, Perl, or another scripting language Experience in a ML or data scientist role with a large technology company

Position: Data Scientist Location: Trivandrum Job Description : We are urgently looking for a motivated Data Scientist with a focus on Computer Vision and Machine Learning. The candidate will have a passion for solving complex problems using deep learning, image processing, and AI-driven techniques. He shall work closely with a team of data scientists, engineers, etc and to build, optimize, and deploy machine learning models for real-world applications Key Responsibilities : Develop, train, and optimize deep learning models for image classification, object detection, segmentation, and other computer vision tasks. Implement and fine-tune machine learning algorithms for structured and unstructured data analysis. Preprocess and augment image/video datasets to improve model accuracy and robustness. Work with frameworks such as YOLO, TensorFlow, PyTorch, and OpenCV to build scalable models. Assist in deploying models to production environments, including cloud and edge computing platforms. Collaborate with cross-functional teams to integrate AI solutions into existing workflows and products. Stay up-to-date with the latest research and trends in AI, computer vision, and machine learning. Qualifications : Bachelors or masters degree in computer science, Data Science, AI/ML, or a related field. Minimum of 3 year of professional experience in Python programming and AI/ML integrations Solid understanding of machine learning concepts, neural networks, and deep learning architectures. Hands-on experience in training and optimizing computer vision models. Familiarity with data preprocessing techniques, image annotation tools, and model evaluation metrics. Strong problem-solving skills and the ability to work in a fast-paced environment. Joining: Immediate to less than 30 days Budget: 13 - 14 LPA ",

Minimum of 10+ years in development, testing and deployment of React, JavaScript, Python based applications on Azure/AWS platforms Extensive experience with frontend and backend technologies to develop AI/GenAI applications. Software development experience in REACT, JavaScript/TypeScript, Python, FastAPI/Flask/Django is needed for UI based applications. Must have experience in building production grade application with frontend & backend technologies like HTML, JavaScript, REACT, Python etc. Deep understanding of architecture and work experience on Web Technologies Python, SQL hands-on experience Expertise in any popular python web frameworks e.g. flask, Django etc.

o Minimum of 4-6 years' experience in developing, testing, and deploying Python based applications on Azure/AWS platforms o Must have basic knowledge on concepts of Generative AI / LLMs / GPT o Deep understanding of architecture and work experience on Web Technologies o Python, SQL hands-on experience o Expertise in any popular python web frameworks e.g. flask, Django etc. o Familiarity with frontend technologies like HTML, JavaScript, REACT

Minimum 12+ years of relevant experience in building software applications in data and analytics field Enhance the go-to-market strategy by designing new and relevant solution frameworks to accelerate our clients’ journeys for impacting patient outcomes. Pitch for these opportunities and craft winning proposals to grow the Data Science Practice. Build and lead a team of data scientists and analysts, fostering a collaborative and innovative environment. Oversee the design and delivery of the models, ensuring projects are completed on time and meet business objectives. Engaging in consultative selling with clients to grow/deliver business. Develop and operationalize scalable processes to deliver on large & complex client engagements. Extensive hands-on experience with Python, R, or Julia, focusing on data science and generative AI frameworks. Expertise in working with generative models such as GPT, DALL-E, Stable Diffusion, Codex, and MidJourney for various applications. Proficiency in fine-tuning and deploying generative models using libraries like Hugging Face Transformers, Diffusers, or PyTorch Lightning. Strong understanding of generative techniques, including GANs, VAEs, diffusion models, and autoregressive models. Experience in prompt engineering, zero-shot, and few-shot learning for optimizing generative AI outputs across different use cases. Expertise in managing generative AI data pipelines, including preprocessing large-scale multimodal datasets for text, image, or code generation.

Be an Individual Contributor in the Analytics and Development team and solve real-world problems using cutting-edge capabilities and emerging technologies based on UI Software development experience in REACT, JavaScript/TypeScript, python is needed as frontend and backend for UI based applications Be a part of large delivery teams working on advanced projects when expert assistance is required. Deliver advanced Data Science capabilities to businesses in a meaningful manner through successful proof-of-concept solutions, and later smoothly transition the proof-of-concept into production. Create Technical documents, develop, test, and deploy data analytics processes using REACT, Python, SQL on Azure/AWS platforms Can interact with client on GenAI related capabilities and use cases Must have Skills: Minimum of 4-6 years develop, test, and deploy React, JavaScript, Python based applications on Azure/AWS platforms Must have experience in building production grade application with frontend & backend technologies like HTML, JavaScript, REACT, Python etc. Deep understanding of architecture and work experience on Web Technologies Python, SQL hands-on experience Expertise in any popular python web frameworks e.g. flask, Django etc. Basic knowledge on concepts of Generative AI / LLMs / GPT will be beneficial