803 Neural Networks Jobs - Page 29

Responsibilities : The incumbent will lead a team of data scientists and campaign managers. S/He will work closely with cross functional teams like Subscriber Marketing, Content, Product, IT, Tech, and Customer Operations to identify & solve key business problems. Key responsibilities for this position are listed below: - Leverage Gen AI for Transformational initiatives at across various offerings - DTH, mobile app. - Building and improving Recommendation Engines, Propensity Modelling, Unsupervised Learning, Fraud Detection, Patterns & Visualisations - Improving the Quality, Performance and Effectiveness of the campaigns - Working on various statistical and data science models to test and evaluate them - Evaluating models and predict performance of data science models using ROC curve and Lift Analysis - Providing expertise to the organisation on statistical techniques - Building deep learning based complex systems utilising structured and unstructured data - Setting up and manage a team of data scientists and campaign managers - Collaborating with data engineering team on building data marts, reports, data warehouse, data pipelines and data tracking mechanisms - Micro segment the base for better upsell of content. Leverage AMS (Audience Measurement system). - Integrate data science models into various campaigns - Manage various segmented upselling and retention campaigns which will be administered through various modes of communication e.g. outbound, TV channels, SMS, emails, App Notifications, website etc The Person : - 10+ years in the Data Science and Analytics domain - Expertise in Predictive Analytics & Machine Learning concepts like such as regression, classification, SVM, recommendation engines, neural network etc. - Hands On experience to open source analytical tools - such as R, Python - Hands On experience of data visualization tools like Tableau - Experience of working on web analytics using tools like Mix Panel for analytics and experimentation - Exposure to implementing data science solutions in production environments - Exposure to Gen AI technology for solving business problems like NLU Search, CVM, Metadata enrichment etc. - Understanding of analytical architecture components; query languages, web services, APIs etc - Experience working on cloud and it's components: AWS / Azure / Google Cloud Platform (any one) - Experience working on Big Data technologies like Spark, PySpark, SparkR etc - Proven experience in Model to Market - Good understanding of commercial (revenue and retention) aspects of the business. - Experience of leading and driving multiple complex projects with a sharp customer-focus - Sound problem identification, judgment, resolution and decision-making skills - Innovation oriented and a proponent of disruptive and out-of-the-box thinking - High level of integrity, ownership and accountability - Excellent written and verbal communications; ability to articulate thoughts clearly and concisely; excellent interpersonal skills.

Build & deploy real-time ML/AI models, analyze data, prototype features, and integrate AI via OpenAI/Gemini APIs. Req: Python, Java, TF, AWS, NLP, pipelines, comms. Bonus: MLOps, LLMs, certs. Bachelors+ in CS/Data Science preferred. Accessible workspace

Job Title : Machine Learning (ML) Engineer. Job Type : Full Time / on BizAcuity payroll. Job Mode : Onsite/Work from Office | Monday to Friday | Shift 1 (Morning). Job Location : Hyderabad (Hi-Tech City nearby Image Hospital). Responsibilities : - Work experience of 3+ years with Deep Learning and Neural networks. - Researching new models and machine learning algorithms. - Designing prototypes and conducting experiments to guide engineering efforts. - Creating ML applications based on client/customer requirements. - Tell business stories through model outcomes and data. - Analyzing test results to improve models. - Exploring and visualizing data to identify potential issues that might affect model performance. - Preparing data sets from various sources (APIs, databases, text files, etc.) for algorithm use. - Production deployment and maintenance of ML Systems. Skills required for this position include : - Advanced math and stats skills (calculus, linear algebra, Bayesian statistics). - A degree in a related field (math, computer science, statistics). - Strong teamwork, problem-solving, and analytical abilities. - Knowledge of data science. - Proficiency in coding and programming languages (Python, SQL). - Practical experience with ML frameworks and libraries. - Knowledge of software architecture, data modeling, and data structures. - Knowledge of running ML algorithms on cloud platforms (AWS, AZURE, Google cloud).

Job TitleGen AI Consultant (1"“3 Years Experience) Experience1"“3 Years LocationBangalore Notice PeriodImmediate Joiner DomainGenerative AI, Machine Learning, NLP About The Role We are seeking a motivated and innovative Gen AI Consultant with 1"“3 years of hands-on experience to join our team This role is ideal for someone passionate about applying cutting-edge generative AI technologies to solve real-world business problems You will collaborate with cross-functional teams to design, develop, and deploy AI-driven solutions leveraging LLMs (Large Language Models), prompt engineering, and related tools. Key Responsibilities Collaborate with stakeholders to understand business needs and translate them into AI-based solutions. Develop and fine-tune prompts for large language models (e.g., GPT, Claude, Gemini). Design, prototype, and test generative AI applications (chatbots, content generation tools, copilots, etc.). Evaluate and integrate APIs and SDKs from leading Gen AI providers (OpenAI, Google, Hugging Face, etc.). Conduct research on Gen AI advancements and provide recommendations for adoption. Support model evaluation, performance tuning, and bias/ethics considerations. Document solutions, workflows, and best practices for internal and client use. Required Skills & Qualifications Bachelors degree in computer science, Data Science, AI/ML, or related field. 1"“3 years of experience working in AI/ML, with at least 1 year in generative AI applications. Proficiency in Python and relevant AI/ML libraries (e.g., Hugging Face Transformers, LangChain, OpenAI SDK). Solid understanding of LLMs, NLP concepts, and prompt engineering. Experience building proof-of-concepts and deploying Gen AI solutions. Familiarity with tools like Jupyter, VS Code, and cloud platforms (AWS, Azure, GCP). Strong problem-solving, communication, and analytical skills. Good To Have Experience with vector databases (e.g., Pinecone, FAISS, Weaviate). Knowledge of RAG (Retrieval-Augmented Generation) pipelines. Understanding of model fine-tuning or RLHF. Prior experience in consulting or client-facing roles. Show more Show less

Optum is a global organization that delivers care, aided by technology to help millions of people live healthier lives. The work you do with our team will directly improve health outcomes by connecting people with the care, pharmacy benefits, data and resources they need to feel their best. Here, you will find a culture guided by inclusion, talented peers, comprehensive benefits and career development opportunities. Come make an impact on the communities we serve as you help us advance health optimization on a global scale. Join us to start Caring. Connecting. Growing together. Primary Responsibilities AI ImplementationImplement AI solutions to automate tasks, improve customer experiences, and optimize operations Data Analysis and InterpretationAnalyze large datasets to extract meaningful insights and trends using Python and data science techniques Model DevelopmentDevelop, train, and deploy machine learning models to solve business problems and enhance decision-making processes Data Collection and CleaningData Analysts are responsible for gathering data from multiple sources, ensuring its accuracy and completeness. This involves cleaning and preprocessing data to remove inaccuracies, duplicates, and irrelevant information. Proficiency in data manipulation tools such as SQL, Excel, and Python is essential for efficiently handling large data sets Analysis and InterpretationOne of the primary tasks of a Data Analyst is to analyse data to uncover trends, patterns, and correlations. They use statistical techniques and software such as R, SAS, and Tableau to conduct detailed analyses. The ability to interpret results and communicate findings clearly is crucial for guiding business decisions Reporting and VisualizationData Analysts create comprehensive reports and visualizations to present data insights to stakeholders. These visualizations, often created using tools like Power BI and Tableau, make complex data more understandable and actionable. Analysts must be skilled in designing charts, graphs, and dashboards that effectively convey key information Collaboration and CommunicationEffective collaboration with other departments, such as marketing, finance, and IT, is vital for understanding data needs and ensuring that analysis aligns with organizational goals. Data Analysts must communicate their findings clearly and concisely, often translating technical data into understandable insights for non-technical stakeholders Predictive Modelling and ForecastingAdvanced Data Analysts also engage in predictive modelling and forecasting, using machine learning algorithms and statistical methods to predict future trends and outcomes. This requires a solid understanding of data science principles and familiarity with tools like TensorFlow and Scikit-learn Comply with the terms and conditions of the employment contract, company policies and procedures, and any and all directives (such as, but not limited to, transfer and/or re-assignment to different work locations, change in teams and/or work shifts, policies in regards to flexibility of work benefits and/or work environment, alternative work arrangements, and other decisions that may arise due to the changing business environment). The Company may adopt, vary or rescind these policies and directives in its absolute discretion and without any limitation (implied or otherwise) on its ability to do so Required Qualifications Undergraduate degree or equivalent experience Python ProficiencySolid knowledge of Python programming, including libraries for data analysis (e.g., Pandas, NumPy) and machine learning (e.g., scikit-learn, TensorFlow, Keras)

Optum is a global organization that delivers care, aided by technology to help millions of people live healthier lives. The work you do with our team will directly improve health outcomes by connecting people with the care, pharmacy benefits, data and resources they need to feel their best. Here, you will find a culture guided by diversity and inclusion, talented peers, comprehensive benefits and career development opportunities. Come make an impact on the communities we serve as you help us advance health equity on a global scale. Join us to start Caring. Connecting. Growing together. Primary Responsibilities: Lead and manage a team of data scientists, fostering a collaborative and innovative environment Oversee the design and development of predictive models and machine learning algorithms Collaborate with business stakeholders to understand and define their data needs Translate business problems into data-driven solutions, presenting complex results in a clear and actionable manner Monitor model performance and continuously improve the accuracy of predictions and insights Maintain up-to-date knowledge of the latest data science trends and technologies, implementing new methodologies as appropriate Promote data literacy throughout the organization, educating staff on how to use data to drive decision-making Ensure data integrity and compliance with privacy regulations Comply with the terms and conditions of the employment contract, company policies and procedures, and any and all directives (such as, but not limited to, transfer and/or re-assignment to different work locations, change in teams and/or work shifts, policies in regards to flexibility of work benefits and/or work environment, alternative work arrangements, and other decisions that may arise due to the changing business environment). The Company may adopt, vary or rescind these policies and directives in its absolute discretion and without any limitation (implied or otherwise) on its ability to do so Qualifications Required Qualifications: Bachelor of Engineering or equivalent 10+ years of total experience Coding Python, pandas, numpy Math behind ML and DL algorithms Basics of Statistics ML and DL concepts Preferred Qualification: Exposure GenAI and LLMs At UnitedHealth Group, our mission is to help people live healthier lives and make the health system work better for everyone. We believe everyone–of every race, gender, sexuality, age, location and income–deserves the opportunity to live their healthiest life. Today, however, there are still far too many barriers to good health which are disproportionately experienced by people of color, historically marginalized groups and those with lower incomes. We are committed to mitigating our impact on the environment and enabling and delivering equitable care that addresses health disparities and improves health outcomes — an enterprise priority reflected in our mission.

Optum is a global organization that delivers care, aided by technology to help millions of people live healthier lives. The work you do with our team will directly improve health outcomes by connecting people with the care, pharmacy benefits, data and resources they need to feel their best. Here, you will find a culture guided by diversity and inclusion, talented peers, comprehensive benefits and career development opportunities. Come make an impact on the communities we serve as you help us advance health equity on a global scale. Join us to start Caring. Connecting. Growing together. Primary Responsibilities Assesses and interprets customer needs and requirements Identifies solutions to non-standard requests and problems Solves moderately complex problems and/or conducts moderately complex analyses Works with minimal guidance; seeks guidance on only the most complex tasks Translates concepts into practice Provides explanations and information to others on difficult issues Coaches, provides feedback, and guides others Acts as a resource for others with less experience Comply with the terms and conditions of the employment contract, company policies and procedures, and any and all directives (such as, but not limited to, transfer and/or re-assignment to different work locations, change in teams and/or work shifts, policies in regards to flexibility of work benefits and/or work environment, alternative work arrangements, and other decisions that may arise due to the changing business environment). The Company may adopt, vary or rescind these policies and directives in its absolute discretion and without any limitation (implied or otherwise) on its ability to do so Required Qualification Undergraduate degree or equivalent experience

Optum is a global organization that delivers care, aided by technology to help millions of people live healthier lives. The work you do with our team will directly improve health outcomes by connecting people with the care, pharmacy benefits, data and resources they need to feel their best. Here, you will find a culture guided by inclusion, talented peers, comprehensive benefits and career development opportunities. Come make an impact on the communities we serve as you help us advance health optimization on a global scale. Join us to start Caring. Connecting. Growing together. Primary Responsibilities Design and implement scalable ML solutions using state-of-the-art generative models Fine-tune and optimize large language models (LLMs) for domain-specific applications Collaborate with cross-functional teams to integrate AI capabilities into products and services Conduct research and stay up-to-date with the latest advancements in generative AI and deep learning Develop pipelines for data preprocessing, model training, evaluation, and deployment Ensure model performance, fairness, and interpretability through rigorous testing and validation Mentor junior engineers and contribute to knowledge sharing within the team Comply with the terms and conditions of the employment contract, company policies and procedures, and any and all directives (such as, but not limited to, transfer and/or re-assignment to different work locations, change in teams and/or work shifts, policies in regards to flexibility of work benefits and/or work environment, alternative work arrangements, and other decisions that may arise due to the changing business environment). The Company may adopt, vary or rescind these policies and directives in its absolute discretion and without any limitation (implied or otherwise) on its ability to do so Required Qualifications Bachelor’s or master’s degree in computer science, Artificial Intelligence, Machine Learning, or a related field 7+ years of experience in AI/ML engineering, with at least 2 years focused on Generative AI Hands-on experience with LLMs, prompt engineering, and fine-tuning techniques Experience with ML Ops tools and cloud platforms (AWS, GCP, Azure) Familiarity with model evaluation techniques and bias/ethical AI metrics Proficiency in Python and ML frameworks such as TensorFlow, Py Torch, Hugging Face Transformers Proven excellent problem-solving skills and ability to work in a fast-paced environment At UnitedHealth Group, our mission is to help people live healthier lives and make the health system work better for everyone. We believe everyone-of every race, gender, sexuality, age, location and income-deserves the opportunity to live their healthiest life. Today, however, there are still far too many barriers to good health which are disproportionately experienced by people of color, historically marginalized groups and those with lower incomes. We are committed to mitigating our impact on the environment and enabling and delivering equitable care that addresses health disparities and improves health outcomes — an enterprise priority reflected in our mission.

Optum is a global organization that delivers care, aided by technology to help millions of people live healthier lives. The work you do with our team will directly improve health outcomes by connecting people with the care, pharmacy benefits, data and resources they need to feel their best. Here, you will find a culture guided by diversity and inclusion, talented peers, comprehensive benefits and career development opportunities. Come make an impact on the communities we serve as you help us advance health equity on a global scale. Join us to start Caring. Connecting. Growing together Primary Responsibilities Applying knowledge of statistics, machine learning, programming, data modeling, simulation, and advanced mathematics to recognize patterns, identify opportunities, pose business questions, and make valuable discoveries leading to prototype development and product improvement Data mining using state-of-the-art methods Enhancing data collection procedures to include information that is relevant for building analytic systems Processing, cleansing, and verifying the integrity of data used for analysis Doing ad-hoc analysis and presenting results in a clear manner Working with analytics and statistical software such as SQL, R, Python, Hadoop and others to perform analysis and interpret data Work with stakeholders to identify opportunities for leveraging company data to drive business solutions. Mine and analyze data from company databases to drive optimization and improvement of product development, marketing techniques and business strategies Assess the effectiveness and accuracy of new data sources and data gathering techniques Develop custom data models and algorithms to apply to data sets Use predictive modeling to increase and optimize customer experiences, revenue generation, ad targeting and other business outcomes Develop company A/B testing framework and test model quality Coordinate with different functional teams to implement models and monitor outcomes Develop processes and tools to monitor and analyze model performance and data accuracy Comply with the terms and conditions of the employment contract, company policies and procedures, and any and all directives (such as, but not limited to, transfer and/or re-assignment to different work locations, change in teams and/or work shifts, policies in regards to flexibility of work benefits and/or work environment, alternative work arrangements, and other decisions that may arise due to the changing business environment). The Company may adopt, vary or rescind these policies and directives in its absolute discretion and without any limitation (implied or otherwise) on its ability to do so Required Qualifications Graduate degree or equivalent experience Experience using statistical computer languages (R, Python, SLQ, etc.) to manipulate data and draw insights from large data sets Experience working with and creating data architectures Experience querying databases and using statistical computer languagesR, Python, SLQ, etc. Experience using web servicesRedshift, S3, Spark, DigitalOcean, etc. Experience creating and using advanced machine learning algorithms and statisticsregression, simulation, scenario analysis, modeling, clustering, decision trees, neural networks, etc. Experience with distributed data/computing toolsMap/Reduce, Hadoop, Hive, Spark, Gurobi, MySQL, etc. Experience visualizing/presenting data for stakeholders usingPeriscope, Business Objects, D3, ggplot, etc. Solid problem solving skills with an emphasis on product development Knowledge of a variety of machine learning techniques (clustering, decision tree learning, artificial neural networks, etc.) and their real-world advantages/drawbacks Knowledge of advanced statistical techniques and concepts (regression, properties of distributions, statistical tests and proper usage, etc.) and experience with applications Proven excellent written and verbal communication skills for coordinating across teams A drive to learn and master new technologies and techniques Coding knowledge and experience with several languagesC, C++, Java, JavaScript, etc. Knowledge and experience in statistical and data mining techniquesGLM/Regression, Random Forest, Boosting, Trees, text mining, social network analysis, k-NN, Naive Bayes, SVM, etc. At UnitedHealth Group, our mission is to help people live healthier lives and make the health system work better for everyone. We believe everyone - of every race, gender, sexuality, age, location and income - deserves the opportunity to live their healthiest life. Today, however, there are still far too many barriers to good health which are disproportionately experienced by people of color, historically marginalized groups and those with lower incomes. We are committed to mitigating our impact on the environment and enabling and delivering equitable care that addresses health disparities and improves health outcomes - an enterprise priority reflected in our mission.

: Job Title - Senior AI Resource - Generative AI / ML Location- Mumbai / Pune / Gurgaon Notice Period- Immediate Joiner / 30 days Experience- 5+ Yrs Key Responsibilities: AI Model Development Design and develop advanced AI/ML models, especially in generative AI, using state-of-the-art techniques and methodologies. Contribute to building scalable solutions aligned with best practices in software development. Model Training & Tuning Train, fine-tune, and optimize generative models to meet specific business and technical requirements, ensuring high-quality and effective results. Model Deployment Support Assist in deploying generative models into production, collaborating with engineers to ensure seamless integration with existing systems and workflows. Performance Evaluation Evaluate and benchmark the performance of generative models using appropriate testing methodologies. Continuously iterate on models for improvement. Documentation Create and maintain clear documentation for developed models, algorithms, and systems to ensure easy understanding and future updates by team members. Research & Application Keep abreast of the latest developments in generative AI and ML research. Apply emerging techniques and algorithms to current or upcoming projects. Collaboration Work closely with cross-functional teams (such as engineers, data scientists, and product managers) to align AI model outputs with business objectives, contributing to the successful completion of projects. Mentorship Provide support and guidance to junior AI engineers and data scientists. Help foster a culture of continuous learning and skill development within the team. Qualifications: Masters degree in Computer Science, Machine Learning, or a related field (Ph.D. is a plus). Proven experience (5+ years) in developing AI/ML models and solutions, with a strong focus on generative AI. Proficiency in deep learning frameworks such as TensorFlow, PyTorch, or Keras. Strong programming skills in Python and experience with data manipulation, cleaning, and preprocessing. Experience with cloud platforms (e.g., AWS, Azure, GCP) and deployment tools. Ability to independently execute projects while collaborating effectively within a team. Practical experience in model evaluation , including measuring accuracy, efficiency, and scalability. Familiarity with the entire machine learning lifecycledata collection, training, deployment, and monitoring. Ability to work under pressure to meet deadlines while maintaining a high standard of quality. Strong communication skills and the ability to present technical concepts to both technical and non-technical stakeholders.

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.

Job Description: We are seeking a highly motivated and skilled AI Developer to join our dynamic team. The ideal candidate should have hands-on experience in designing, developing, and deploying AI and machine learning models to solve real-world problems. You will work closely with data scientists, software engineers, and product teams to build intelligent applications. Key Responsibilities: Design and develop AI/ML models based on business requirements Preprocess and analyze structured and unstructured data Implement Deep Learning and NLP algorithms using frameworks like TensorFlow, PyTorch, and Scikit-learn Collaborate with software engineers to integrate models into production environments Build and optimize pipelines for data ingestion, model training, and inference Monitor model performance and retrain as needed Research and implement state-of-the-art algorithms Create dashboards or front-end demos using Streamlit or similar tools (optional) Key Skills Required: Programming: Python (Must), R (Optional), Java (Good to have) AI/ML: TensorFlow, PyTorch, Keras, Scikit-learn Data Science: Pandas, NumPy, Matplotlib, Seaborn NLP: Hugging Face Transformers, NLTK, SpaCy Computer Vision: OpenCV, YOLO, CNNs Model Deployment: Flask, FastAPI, Docker, AWS/Azure/GCP Databases: SQL, MongoDB, Firebase (optional) Version Control: Git, GitHub Preferred Qualifications: Bachelors or Master’s degree in Computer Science, AI, Data Science, or related field Strong mathematical foundation in statistics, linear algebra, and probability Excellent problem-solving skills and attention to detail Strong communication and teamwork skills Why Join Us? Work on cutting-edge AI solutions Collaborative and inclusive work environment Opportunity to grow in a fast-paced tech-driven organization Exposure to real-world enterprise and consumer AI applications

The Grab Integrity team is dedicated to protecting the Grab platform from multiple types of fraud and safety incidents. Our team uses rich datasets ranging from payment risk prediction using sequence-based models to detecting money laundering with graph algorithms and ensuring platform safety. we'research new methods to stay ahead of latest fraud tactics, contributing to the creation of thoughtful and secure products. Get to Know the Role: you'll fight fraud by analysing transactional data, developing and deploying machine learning models, and collaborating with teams to ensure seamless integration of fraud detection systems. you'll help keep our platform safe and trustworthy. The Critical Tasks You Will Perform: Collaborate with your team to understand and convert operational issues into data science problems, aligning efforts with our strategic goals. Stay updated with the latest research and advancements in the field, incorporating the latest models and techniques to address new fraud tactics. Handle data preparation and augmentation, using multiple data types to create comprehensive datasets for model training. Train and improve machine learning models, ensuring accuracy and efficiency in fraud detection through careful selection and tuning of algorithms. Types of algorithms the team work on include Graph Neural Networks, Transformer/ Sequence models, finetuned LLMs, Boosted Trees Deploy models into production, managing their performance, and working with data scientists, software engineers, and product managers to ensure seamless integration and ongoing improvements. The Essential Skills You Will Need: Degree in computer science, physics, statistics, or a related quantitative field. Proficiency in Python, SQL, and programming skills, with familiarity with numeric libraries, containers, and modular software design 2 or more years of experience of standard machine learning libraries such as TensorFlow, PyTorch, XGBoost, LightGBM, and Scikit-learn Understand and some experience using traditional ML techniques like Boosted Trees, and deep neural network architectures, like CNNs, RNNs, Transformers. We care about your we'll-being at Grab, here are some of the global benefits we offer: We have your back with Term Life Insurance and comprehensive Medical Insurance. With GrabFlex, create a benefits package that suits your needs and aspirations. Celebrate moments that matter in life with loved ones through Parental and Birthday leave, and give back to your communities through Love-all-Serve-all (LASA) volunteering leave We have a confidential Grabber Assistance Programme to guide and uplift you and your loved ones through lifes challenges

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.

Develop and implement machine learning models using Python-based frameworks. Collaborate with the AI team to build, train, and optimize models for various applications. Utilize AI libraries such as TensorFlow, PyTorch, and spaCy to develop solutions. Contribute to the design and development of AI systems that leverage large language models (LLMs) and other advanced AI techniques. Work with data preprocessing, data augmentation, and model evaluation techniques. Assist in AI model deployment and integration with applications. Required AI Skills and Knowledge: Basic understanding of AI concepts such as supervised and unsupervised learning, classification, clustering, and neural networks. Knowledge of AI libraries and frameworks TensorFlow, PyTorch, or Keras for deep learning. spaCy for natural language processing. scikit-learn for traditional machine learning. Familiarity with Large Language Models (LLMs) , such as GPT, and their applications in natural language understanding and generation. Understanding of data preprocessing techniques , feature engineering, and model evaluation metrics. Awareness of AI ethics and responsible AI development practices. Preferred Skills (Not Mandatory): Exposure to cloud-based AI development platforms (e.g., Google Cloud AI, AWS AI, or Azure AI). Familiarity with optimization techniques for AI model performance. Understanding of deep learning architectures like CNNs, RNNs, and transformers. Required Programming Skills: Python proficiency is essential. Familiarity with Python libraries like NumPy, pandas, and matplotlib for data manipulation and visualization. Experience with version control systems like Git. Training and Development Opportunities: In-depth training on AI development, including machine learning and natural language processing. Exposure to Large Language Models (LLMs) and their use cases. Hands-on experience with AI frameworks and tools like TensorFlow, PyTorch, and spaCy. Guidance on best practices for deploying and scaling AI solutions in real-world environments Basic understanding of AI concepts such as supervised and unsupervised learning, classification, clustering, and neural networks. AI ethics and responsible AI development practices. Python proficiency is essential. Python libraries like NumPy, pandas, and matplotlib for data manipulation and visualization. version control systems like Git. Large Language Models (LLMs) and their use cases.

Sberbank is looking for NLP and Speech Recognition Engineer to join our dynamic team and embark on a rewarding career journey. Analyzing customer needs to determine appropriate solutions for complex technical issues Creating technical diagrams, flowcharts, formulas, and other written documentation to support projects Providing guidance to junior engineers on projects within their areas of expertise Conducting research on new technologies and products in order to recommend improvements to current processes Developing designs for new products or systems based on customer specifications Researching existing technologies to determine how they could be applied in new ways to solve problems Reviewing existing products or concepts to ensure compliance with industry standards, regulations, and company policies Preparing proposals for new projects, identifying potential problems, and proposing solutions Estimating costs and scheduling requirements for projects and evaluating results

Research in Nokia Standards (NSD) comprises fundamental systematic research of an exploratory nature for developing new products and services as well as disruptive technologies superseding conventional approaches. It covers the provision of a comprehensive understanding of scientific insights, specifically leading to (pre-) standardization of ideas and concepts for 6G technologies and beyond. In light of the recent advancements in artificial intelligence (AI) and data monetization, 6G will be the first mobile system built around and for datafirst, 6G will be the first generation of fully AI-native mobile systems where new AI features will enhance traditional solutions. Secondly, 6G will be designed according to a data-driven approach, where quantitative data and measures collected in past releases will help in shaping the design of 6G. Thirdly, 6G will be conceived to convert the massive data generated by mobile systems into valuable and monetizableinformation. You must have: Strong technical background in data science and modern data management techniques. Solid knowledge of data analysis techniques to analyze data generated in wireless systems to optimize their performance. Proven experience in data engineering methods to represent data including hands-on experience in developing data management and AI tools. Excellent written and interpersonal communication skills. Leadership and collaborative mindset with the ability to work autonomously. Strong professional ethics, open communication, and ability to rectify mistakes quickly. It would be nice if you also had: Knowledge of language processing techniques (NLP, GenAI, transformers) including hands-on experience of the tools. Experience in simulation of dynamic systems, especially for wireless communication systems (link and/or system level). Hands-on experience with AI/ML techniques applied to wireless communication. Proven software development skills with C/C++ programming language. Proven track record of innovation like publications in top conferences and journals. Drive data science progress in 6G technology and build the next generation mobile systems around modern data management approaches. Drive progress as a technical lead, contributing to new products, processes, and standards on data science for future 6G systems. Work with a world-class team to drive 6G technologies in global standardization. Carry out specialized activities/projects, demonstrating adaptability in complex business environments. Communicate within and outside the team, influencing others to accept new concepts and practices.

We are looking for a talented and highly motivated engineer to help advance our effort on creating the most efficient Multi-Model LLM models, with a specific focus on creating value for Enterprises. The candidate will be responsible for training/finetuning of MLLM models, developing prototype solutions to IBM z17 AIU hardware, working closely with IBM AIU teams, and IBM scientists in a flexible and fun environment. Required education Bachelor's Degree Preferred education Master's Degree Required technical and professional expertise * 5+ years programming and hands on experience in python * Experience with Finetuning Multi-Model LLM models and internals of training stacks * Experience with Pytorch and FSDP * Exposure to lare scale distributed training tuning * Exposure to working with both text and image datasets Preferred technical and professional experience Exposure to Hugging Face Ecosystem, Trasnformer Models, Vision Models, and Diffusion Models Exposure to distributed foundation model training BTech/Masters/PhD in Computer Science or allied fields

Design, develop, and deploy Generative AI solutions leveraging state-of-the-art AI/ML technologies. Perform fine-tuning of LLM models, RAG implementation, and dataset curation to deliver customized AI use cases. Work with platforms like GCP, AWS, Azure, and private servers/edge devices to create scalable AI systems. Implement AI tools and frameworks, such as NVIDIA libraries, TensorFlow, and PyTorch, to develop advanced solutions. Ensure seamless integration of AI models with business processes, and adhere to best practices in software development methodologies. Demonstrate strong knowledge of NLP, neural networks, and cloud platforms while ensuring robust performance and innovation in Gen AI solutions. Skills : - Gen AI/ML, LLM Fine-Tuning, Cloud Platform Expertise (AWS, Azure, GCP), RAG Implementation, NLP, Python, Neural Networks, Gen AI, Machine Learning, LLM Fine-Tuning, RAG Implementation, TensorFlow, PyTorch, NVIDIA Libraries, Python, NLP, Cloud Platforms (AWS, Azure, GCP), AI Use Case Development, AI Integration, Software Development Methodologies

We're looking for an experienced AI/ML Technical Lead to architect and drive the development of our intelligent conversation engine. Youll lead model selection, integration, training workflows (RAG/fine-tuning), and scalable deployment of natural language and voice AI components. This is a foundational hire for a technically ambitious platform. Key Responsibilities AI System Architecture: Design the architecture of the AI-powered agent including LLM-based conversation workflows, voice bots, and follow-up orchestration. Model Integration & Prompt Engineering: Leverage APIs from OpenAI, Anthropic, or deploy open models (e.g., LLaMA 3, Mistral). Implement effective prompt strategies and retrieval-augmented generation (RAG) pipelines for contextual responses. Data Pipelines & Knowledge Management: Build secure data pipelines to ingest, embed, and serve tenant-specific knowledge bases (FAQs, scripts, product docs) using vector databases (e.g., Pinecone, Weaviate). Voice & Text Interfaces: Implement and optimize multimodal agents (text + voice) using ASR (e.g., Whisper), TTS (e.g., Polly), and NLP for automated qualification and call handling. Conversational Flow Orchestration: Design dynamic, stateful conversations that can take actions (e.g., book meetings, update CRM records) using tools like LangChain, Temporal, or n8n. Platform Scalability: Ensure models and agent workflows scale across tenants with strong data isolation, caching, and secure API access. Lead a Cross-Functional Team: Collaborate with backend, frontend, and DevOps engineers to ship intelligent, production-ready features. Monitoring & Feedback Loops: Define and monitor conversation analytics (drop-offs, booking rates, escalation triggers), and create pipelines to improve AI quality continuously. Qualifications Must-Haves: 5+ years of experience in ML/AI, with at least 2 years leading conversational AI or LLM projects. Strong background in NLP, dialog systems, or voice AI preferably with production experience. Experience with OpenAI, or open-source LLMs (e.g. LLaMA, Mistral, Falcon) and orchestration tools (LangChain, etc.). Proficiency with Python and ML frameworks (Hugging Face, PyTorch, TensorFlow). Experience deploying RAG pipelines, vector DBs (e.g. Pinecone, Weaviate), and managing LLM-agent logic. Familiarity with voice processing (ASR, TTS, IVR design). Solid understanding of API-based integration and microservices. Deep care for data privacy, multi-tenancy security, and ethical AI practices. Nice-to-Haves: Experience with CRM ecosystems (e.g. Salesforce, HubSpot) and how AI agents sync actions to CRMs. Knowledge of sales pipelines and marketing automation tools. Exposure to calendar integrations (Google Calendar API, Microsoft Graph). Knowledge of Twilio APIs (SMS, Voice, WhatsApp) and channel orchestration logic. Familiarity with Docker, Kubernetes, CI/CD, and scalable cloud infrastructure (AWS/GCP/Azure). What We Offer Founding team role with strong ownership and autonomy Opportunity to shape the future of AI-powered sales Flexible work environment Competitive salary Access to cutting-edge AI tools and training resources Post your resume and any relevant project links (GitHub, blog, portfolio) to career@sourcedeskglobal.com. Include a short note on your most interesting AI project or voicebot/conversational AI experience.

We encourage you to apply if you have a passion for innovation, a strong technical background, and the ability to lead a team toward impactful, data-driven solutions About iSOCRATES Since 2015, iSOCRATES advises on, builds and manages mission-critical Marketing, Advertising and Data technologies, platforms, and processes as the Global Leader in MADTECH Resource Planning and Execution(TM). iSOCRATES delivers globally proven, reliable, and affordable Strategy and Operations Consulting and Managed Services for marketers, agencies, publishers, and the data/tech providers that enable them. iSOCRATES is staffed 24/7/365 with its proven specialists who save partners money, and time and achieve transparent, accountable, performance while delivering extraordinary value. Savings stem from a low-cost, focused global delivery model at scale that benefits from continuous re-investment in technology and specialized training. About MADTECH.AI MADTECH.AI is the Unified Marketing, Advertising, and Data Decision Intelligence Platform purpose-built to deliver speed to value for marketers. At MADTECH.AI, we make real-time AI-driven insights accessible to everyone. Whether youre a global or emerging brand, agency, publisher, or data/tech provider, we give you a single source of truth - so you can capture sharper insights that drive better marketing decisions faster and more affordable than ever before. MADTECH.AI unifies and transforms MADTECH data and centralizes decision intelligence in a single, affordable platform. Leave data wrangling, data model building, proactive problem solving, and data visualization to MADTECH.AI. Job Description: iSOCRATES is seeking a highly skilled and experienced Lead Data Scientist to spearhead our growing Data Science team. The Lead Data Scientist will be responsible for leading the team that defines, designs, reports on, and analyzes audience, campaign, and programmatic media trading data. This includes working with selected partner-focused Managed Services and Outsourced Services on behalf of our supply-side and demand-side partners. The role will involve collaboration with cross-functional teams and working across a variety of media channels, including digital and offline channels such as display, mobile, video, social, native, and advanced TV/Audio ad products. Key Responsibilities: 1. Team Leadership & Management: Lead and mentor a team of data scientists to drive the design, development, and implementation of data-driven solutions for media and marketing campaigns. 2. Advanced Analytics & Data Science Expertise: Provide hands-on leadership in applying rigorous statistical, econometric, and Big Data methods to define requirements, design analytics solutions, analyze results, and optimize economic outcomes. Expertise in modeling techniques including propensity modeling, Media Mix Modeling (MMM), Multi-Touch Attribution (MTA), Recency, Frequency, Monetary (RFM) analysis, Bayesian statistics, and non-parametric methods. 3. Generative AI & NLP: Lead the implementation and development of Generative AI, Large Language Models, and Natural Language Processing (NLP) techniques to enhance data modeling, prediction, and analysis processes. 4. Data Architecture & Management: Architect and manage dynamic data systems from diverse sources, ensuring effective integration and optimization of audience, pricing, and contextual data for programmatic and digital advertising campaigns. Oversee the management of DSPs, SSPs, DMPs, and other data systems integral to the ad-tech ecosystem. 5. Cross-Functional Collaboration: Work closely with Product, System Development, Yield, Operations, Finance, Sales, Business Development, and other teams to ensure seamless data quality, completeness, and predictive outcomes across campaigns. Design and deliver actionable insights, creating innovative, data-driven solutions and reporting tools for use by both iSOCRATES teams and business partners. 6. Predictive Modeling & Optimization: Lead the development of predictive models and analyses to drive programmatic optimization, focusing on revenue, audience behavior, bid actions, and ad inventory optimization (eCPM, fill rate, etc.). Monitor and analyze campaign performance, making data-driven recommendations for optimizations across various media channels including websites, mobile apps, and social media platforms. 7. Data Collection & Quality Assurance: Oversee the design, collection, and management of data, ensuring high-quality standards, efficient storage systems, and optimizations for in-depth analysis and visualization. Guide the implementation of tools for complex data analysis, model development, reporting, and visualization, ensuring alignment with business objectives. Qualifications: Masters or Ph.D. in Statistics, Engineering, Science, or Business with a strong foundation in mathematics and statistics. Looking for an experience of 8 to 10 years with at least 5 years of hands-on experience in data science, predictive analytics, media research, and digital analytics, with a focus on modeling, analysis, and optimization within the media, advertising, or tech industry. At least 3 years of hands-on experience with Generative AI, Large Language Models, and Natural Language Processing techniques. Minimum 3 years of experience in Publisher and Advertiser Audience Data Analytics and Modeling. Proficient in data collection, business intelligence, machine learning, and deep learning techniques using tools such as Python, R, scikit-learn, Hadoop, Spark, MySQL, and AWS S3. Expertise in logistic regression, customer segmentation, persona building, and predictive analytics. Strong analytical and data modeling skills with a deep understanding of audience behavior, pricing strategies, and programmatic media optimization. Experience working with DSPs, SSPs, DMPs, and programmatic systems. Excellent communication and presentation skills, with the ability to communicate complex technical concepts to non-technical stakeholders. Ability to manage multiple tasks and projects effectively, both independently and in collaboration with remote teams. Strong problem-solving skills with the ability to adapt to evolving business needs and deliver solutions proactively. Experience in developing analytics dashboards, visualization tools, and reporting systems. Background in digital media optimization, audience segmentation, and performance analytics. This is an exciting opportunity to take on a leadership role at the forefront of data science in the digital media and advertising space. If you have a passion for innovation, a strong technical background, and the ability to lead a team toward impactful, data-driven solutions, we encourage you to apply. An interest and ability to work in a fast-paced operation on the analytics and revenue side of our business

We are seeking a talented and motivated Data Scientist to join our dynamic team. The ideal candidate will possess strong technical skills in machine learning, natural language processing (NLP), generative AI, graph neural networks, and topic modeling. You will also be adept at designing experiments to validate hypotheses and drive decision-making. Key Responsibilities: Develop and deploy scalable machine learning models to address business challenges. Utilize NLP techniques to extract insights from unstructured text data. Implement graph neural networks to analyze relational data and uncover complex patterns. Conduct topic modeling to distill key themes from large datasets. Design, implement, and analyze experiments to inform data-driven decisions. Collaborate with cross-functional teams to identify, define, and solve challenging problems. Communicate findings and recommendations to stakeholders in a clear and concise manner. Continuously stay updated with the latest advancements in data science, machine learning, and related fields. Required Qualifications and Skills: bachelors degree in computer science, Statistics, Mathematics, or a related field. Proven experience in machine learning, NLP, and generative AI. Proficiency in graph neural networks and topic modeling. Skills in deep learning architecture and training neural networks Strong programming skills in Python, R, or a similar language. Excellent analytical, problem-solving, and critical-thinking skills. Ability to communicate complex technical concepts to non-technical audiences. Preferred Qualifications and Skills: Masters or Ph.D. in a relevant field bachelors from reputed college with keen desire to learn Experience in the design of experiments and statistical analysis. Knowledge of cloud platforms (eg, AWS, Google Cloud, Azure). Strong project management and organizational skills. Languages : English.

Role Purpose The purpose of the role is to define, architect and lead delivery of machine learning and AI solutions Do 1. Demand generation through support in Solution development a. Support Go-To-Market strategy i. Collaborate with sales, pre-sales &consulting team to assist in creating solutions and propositions for proactive demand generation ii. Contribute to development solutions, proof of concepts aligned to key offerings to enable solution led sales b. Collaborate with different colleges and institutes for recruitment, joint research initiatives and provide data science courses 2. Revenue generation through Building & operationalizing Machine Learning, Deep Learning solutions a. Develop Machine Learning / Deep learning models for decision augmentation or for automation solutions b. Collaborate with ML Engineers, Data engineers and IT to evaluate ML deployment options c. Integrate model performance management tools into the current business infrastructure 3. Team Management a. Resourcing i. Support recruitment process to on-board right resources for the team b. Talent Management i. Support on boarding and training for the team members to enhance capability & effectiveness ii. Manage team attrition c. Performance Management i. Conduct timely performance reviews and provide constructive feedback to own direct reports ii. Be a role model to team for five habits iii. Ensure that the Performance Nxt is followed for the entire team d. Employee Satisfaction and Engagement i. Lead and drive engagement initiatives for the team Deliver No. Performance Parameter Measure 1. Demand generation Order booking 2. Revenue generation through delivery Timeliness, customer success stories, customer use cases 3. Capability Building & Team Management % trained on new skills, Team attrition % Mandatory Skills: Data Science. Experience8-10 Years.