1086 Keras Jobs - Page 37

Job Description Collect and prepare data for training and evaluating multimodal foundation models. This may involve cleaning and processing text data or creating synthetic data. Develop and optimize large-scale language models like GANs (Generative Adversarial Networks) and VAEs (Variational Autoencoders) Work on tasks involving language modeling, text generation, understanding, and contextual comprehension. Regularly review and fine-tune Large Language models to ensure maximum accuracy and relevance for custom datasets. Build and deploy AI applications on cloud platforms – any hyperscaler Azure, GCP or AWS. Integrate AI models with our company's data to enhance and augment existing applications. Role & Responsibility Handle data preprocessing, augmentation, and generation of synthetic data. Design and develop backend services using Python or .NET to support OpenAI-powered solutions (or any other LLM solution) Develop and Maintaining AI Pipelines Work with custom datasets, utilizing techniques like chunking and embeddings, to train and fine-tune models. Integrate Azure cognitive services (or equivalent platform services) to extend functionality and improve AI solutions Collaborate with cross-functional teams to ensure smooth deployment and integration of AI solutions. Ensure the robustness, efficiency, and scalability of AI systems. Stay updated with the latest advancements in AI and machine learning technologies. Skills & Experience Strong foundation in machine learning, deep learning, and computer science. Expertise in generative AI models and techniques (e.g., GANs, VAEs, Transformers). Experience with natural language processing (NLP) and computer vision is a plus. Ability to work independently and as part of a team. Knowledge of advanced programming like Python, and especially AI-centric libraries like TensorFlow, PyTorch, and Keras. This includes the ability to implement and manipulate complex algorithms fundamental to developing generative AI models. Knowledge of Natural language processing (NLP) for text generation projects like text parsing, sentiment analysis, and the use of transformers like GPT (generative pre-trained transformer) models. Experience in Data management, including data pre-processing, augmentation, and generation of synthetic data. This involves cleaning, labeling, and augmenting data to train and improve AI models. Experience in developing and deploying AI models in production environments. Knowledge of cloud services (AWS, Azure, GCP) and understanding of containerization technologies like Docker and orchestration tools like Kubernetes for deploying , managing and scaling AI solutions Should be able to bring new ideas and innovative solutions to our clients Show more Show less

About the Role Mergen Partners is seeking a Data Scientist to join a cutting-edge AI and Data Science team. In this role, you’ll design predictive models and data-driven solutions that directly influence critical business areas such as pricing strategy, customer behavior analysis, and resource optimization. If you thrive on solving complex problems with AI and want to see your work drive tangible outcomes, this is your opportunity to make an impact. What You’ll Do Lead Analytical Strategy: Drive innovation by proposing new statistical frameworks, testing methodologies, and infrastructure enhancements to unlock business value. Collaborate Cross-Functionally: Partner with stakeholders to define challenges, develop hypotheses, and transform raw data (including conversational data) into actionable insights and scalable models. Own End-to-End Analytics: Conduct descriptive/prescriptive analyses, design experiments (A/B, multi-armed bandit), and track business metrics to inform decision-making. Build ML Solutions: Develop models to optimize customer segmentation, retention, conversation quality, and revenue growth. Mentor & Guide: Serve as the team’s AI/ML authority, overseeing advanced statistical work and model development. Ensure Model Excellence: Validate, test, and refine models for performance, scalability, and real-world applicability. What We’re Looking For Education: Bachelor’s or Master’s degree in Data Science, Computer Science, Statistics, Mathematics, or a related quantitative field. Experience: 2-5 years in data science, machine learning, or product analytics with hands-on model development. Technical Expertise: Proficiency in Python and SQL (BigQuery preferred). Mastery of machine learning techniques: regression, classification, clustering, time series analysis. Hands-on experience with frameworks like XGBoost, Naive Bayes, K-means, Neural Networks. Familiarity with ML libraries (TensorFlow, PyTorch, Keras). Strong grasp of statistical analysis (descriptive and inferential). Bonus Skills: Exposure to NLP, computer vision, or reinforcement learning. Experience in e-commerce, retail analytics, or product analytics. Knowledge of CI/CD pipelines for ML deployment. Familiarity with large language models (LLMs) and prompt engineering. Why Apply? Solve High-Impact Problems: Your work will shape strategies that directly affect business growth and customer experiences. Innovate with AI: Work at the forefront of AI/ML applications in a dynamic, collaborative environment. Ownership & Growth: Lead projects from ideation to deployment while mentoring peers and refining best practices. Note: Mergen Partners values diversity and is proud to support our client in building an inclusive team. All qualified applicants will receive consideration. Show more Show less

JOB SUMMARY This Data Scientist creates and implements advanced analytics models and solutions to yield predictive and prescriptive insights from large volumes of structured and unstructured data. This position works with a team responsible for the research and implementation of predictive requirements by leveraging industry standard machine learning and data visualization tools to draw insights that empower confident decisions and product creation. This position leverages emerging tools and technologies available in On-prem and Cloud environments. This position utilizes industry standard machine learning and data visualization tools to transform data and analytics requirements into predictive solutions and provide data literacy on a range of machine learning systems at UPS. This position identifies opportunities for driving descriptive to predictive and prescriptive solutions, which become inputs to department and project teams on their decisions supporting projects. RESPONSIBILITIES Defines key data sources from UPS and external sources to deliver models. Develops and implements pipelines that facilitates data cleansing, data transformations, data enrichments from multiple sources (internal and external) that serve as inputs for data and analytics systems. For larger teams, works with data engineering teams to validate and test data and model pipelines identified during proof of concepts. Develops data design based on the exploratory analysis of large amounts of data to discover trends and patterns that meet stated business needs. Defines model key performance indicator (KPI) expectations and validation, testing, and re-training of existing models to meet business objectives. Reviews and creates repeatable solutions through written project documentation, process flowcharts, logs, and commented clean code to produce datasets that can be used in analytics and/or predictive modeling. Synthesizes insights and documents findings through clear and concise presentations and reports to stakeholders. Presents operationalized analytic findings and provides recommendations. Incorporates best practices on the use of statistical modeling, machine learning algorithms, distributed computing, cloud-based AI technologies, and run time performance tuning with the goal of deployment and market introduction. Leverages emerging tools and technologies together with the use of open-source or vendor products in the creation and delivery of insights that support predictive and prescriptive solutions. QUALIFICATIONS Expertise in R, SQL, Python and/or any other high-level languages. Exploratory data analysis (EDA), data engineering and development of advanced analytics models. Experience in development of AI and ML using platforms like VertexAI, Databricks or Sagemaker, and familiarity with available frameworks like PyTorch, Tensorflow and Keras. Experience applying models from small to medium scaled problems. Strong analytical skills and attention to detail. Able to engage key business and executive-level stakeholders to translate business problems to a high-level analytics solution approach. Expertise with statistical techniques, machine learning, and/or operations research and their application in business. Deep understanding of data management pipelines and experience in launching moderate scale advanced analytics projects in production. Demonstrated experience in Cloud-AI technologies and knowledge of environments both in Linux/Unix and Windows. Experience implementing open-source technologies and cloud services; with or without the use of enterprise data science platforms. Core AI Machine Learning knowledge and application in supervised and unsupervised learning domains. Familiarity with Java or C++ is a plus. Solid oral and written communication skills, especially around analytical concepts and methods. Ability to communicate data through a story framework to convey data-driven results to technical and non-technical audiences. Masters Degree in a quantitative field of mathematics, computer science, physics, economics, engineering, statistics (operations research, quantitative social science, etc.), international equivalent, or equivalent job experience.

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

₹10L – ₹15L | Bangalore Rural | 2 years of exp | Full Time Visa Sponsorship Not Available Remote Work Policy In office Relocation Allowed Skills Python Machine Learning SQL Numpy Pandas Deep Learning Docker Metabase About The Job GMP has established itself as the pioneer of Interoperable Smart Parking which connects all parking and mobility stakeholders on a common platform who are operating in silos. GMP has had great success in the European market and is now expanding in US and other markets globally. This is an opportunity to be part of a high growth team with a global footprint. Job Description We are hiring a Machine Learning Engineer to analyze complex data sets and uncover insights that drive business decisions. You will develop machine learning models and deliver insights through visualizations. Key Responsibilities Analyze and interpret large datasets using Python, SQL, and Numpy. Build and optimize predictive models using Scikit-Learn and TensorFlow. Conduct hypothesis testing to validate data-driven insights. Create dashboards using Metabase to present findings. Work with the engineering team to implement ML models in production. Skills Required Solid experience of Python, SQL, Numpy, Pandas Machine Learning, Deep Learning (TensorFlow, PyTorch, Keras, Scikit) Metabase Docker, MLOps Apply for this job Show more Show less

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

At PwC, our people in software and product innovation focus on developing cutting-edge software solutions and driving product innovation to meet the evolving needs of clients. These individuals combine technical experience with creative thinking to deliver innovative software products and solutions. Those in software engineering at PwC will focus on developing innovative software solutions to drive digital transformation and enhance business performance. In this field, you will use your knowledge to design, code, and test cutting-edge applications that revolutionise industries and deliver exceptional user experiences. Focused on relationships, you are building meaningful client connections, and learning how to manage and inspire others. Navigating increasingly complex situations, you are growing your personal brand, deepening technical expertise and awareness of your strengths. You are expected to anticipate the needs of your teams and clients, and to deliver quality. Embracing increased ambiguity, you are comfortable when the path forward isn’t clear, you ask questions, and you use these moments as opportunities to grow. Skills Examples of the skills, knowledge, and experiences you need to lead and deliver value at this level include but are not limited to: Respond effectively to the diverse perspectives, needs, and feelings of others. Use a broad range of tools, methodologies and techniques to generate new ideas and solve problems. Use critical thinking to break down complex concepts. Understand the broader objectives of your project or role and how your work fits into the overall strategy. Develop a deeper understanding of the business context and how it is changing. Use reflection to develop self awareness, enhance strengths and address development areas. Interpret data to inform insights and recommendations. Uphold and reinforce professional and technical standards (e.g. refer to specific PwC tax and audit guidance), the Firm's code of conduct, and independence requirements. Job Level : Senior Associates Line of Service : Business services support At PwC, our people in the AI, Technology and Innovation team are part of a Global team with our team members sitting across our Acceleration Center (AC) locations including India. This team is focused on leveraging advanced technologies and techniques to design and develop robust data solutions for the Acceleration centre . They play a crucial role in transforming raw data into actionable insights, enabling informed decision-making and driving business growth by creating products and platforms that re-imagine the way we drive our clients to the Leading edge. Scope Of Responsibility Collaborate with cross-functional teams to understand business requirements and identify opportunities for applying GenAI technologies. Design, develop, and maintain software solutions for GenAI projects. Implement event-driven architectures to enable real-time data processing and analysis. Utilize containerization technologies for efficient deployment and scalability. Develop and maintain data lakes for storing and managing large volumes of structured and unstructured data. Utilize Python as the primary programming language for software development. Stay up-to-date with the latest advancements in GenAI technologies and recommend innovative solutions to enhance software engineering processes. Collaborate with cross-functional teams to understand business requirements and translate them into technical solutions. Document software engineering processes, methodologies, and best practices. Maintain solution architecture certificates and stay current with industry best practices. Strategic & Technical Orientation / Job Content Proficiency in Python and software engineering best practices for AI systems is a must 3+ years of hands-on experience developing and deploying AI models in production environments with 1 year of experience in developing generative AI pilots, proofs of concept, and prototypes 1+ years experience in designing, developing, and implementing generative AI models and algorithms utilizing state-of-the-art techniques such as GPT Conducting research to stay up-to-date with the latest advancements in generative AI, machine learning, and deep learning techniques and identify opportunities to integrate them into our products and services. Optimizing existing generative AI models for improved performance, scalability, and efficiency. Developing and maintaining AI pipelines, including data preprocessing, feature extraction, model training, and evaluation. Range Of Impact Deep understanding of state-of-the-art AI architectures Proficient in Python and have experience with machine learning libraries and frameworks such as TensorFlow, PyTorch, or Keras. Have strong knowledge of data structures, algorithms, and software engineering principles. Have strong communication skills, with the ability to effectively convey complex technical concepts to a diverse audience. Possess a proactive mindset, with the ability to work independently and collaboratively in a fast-paced, dynamic environment. Familiar with cloud-based platforms and services, such as Azure or AWS Show more Show less

Gen AI Engineer Job Description: Collect and prepare data for training and evaluating multimodal foundation models. This may involve cleaning and processing text data or creating synthetic data. Develop and optimize large-scale language models like GANs (Generative Adversarial Networks) and VAEs (Variational Autoencoders) Work on tasks involving language modeling, text generation, understanding, and contextual comprehension. Regularly review and fine-tune Large Language models to ensure maximum accuracy and relevance for custom datasets. Build and deploy AI applications on cloud platforms – any hyperscaler Azure, GCP or AWS. Integrate AI models with our company's data to enhance and augment existing applications. Role & Responsibility Handle data preprocessing, augmentation, and generation of synthetic data. Design and develop backend services using Python or .NET to support OpenAI-powered solutions (or any other LLM solution) Develop and Maintaining AI Pipelines Work with custom datasets, utilizing techniques like chunking and embeddings, to train and fine-tune models. Integrate Azure cognitive services (or equivalent platform services) to extend functionality and improve AI solutions Collaborate with cross-functional teams to ensure smooth deployment and integration of AI solutions. Ensure the robustness, efficiency, and scalability of AI systems. Stay updated with the latest advancements in AI and machine learning technologies. Skills & Experience Strong foundation in machine learning, deep learning, and computer science. Expertise in generative AI models and techniques (e.g., GANs, VAEs, Transformers). Experience with natural language processing (NLP) and computer vision is a plus. Ability to work independently and as part of a team. Knowledge of advanced programming like Python, and especially AI-centric libraries like TensorFlow, PyTorch, and Keras. This includes the ability to implement and manipulate complex algorithms fundamental to developing generative AI models. Knowledge of Natural language processing (NLP) for text generation projects like text parsing, sentiment analysis, and the use of transformers like GPT (generative pre-trained transformer) models. Experience in Data management, including data pre-processing, augmentation, and generation of synthetic data. This involves cleaning, labeling, and augmenting data to train and improve AI models. Experience in developing and deploying AI models in production environments. Knowledge of cloud services (AWS, Azure, GCP) and understanding of containerization technologies like Docker and orchestration tools like Kubernetes for deploying , managing and scaling AI solutions Should be able to bring new ideas and innovative solutions to our clients

Share this job Mission Statement This role is responsible for leveraging data to drive business insights and decisions across various domains. As a Data Scientist, you will analyze large datasets to extract actionable insights, build predictive models, and support data-driven decision-making processes. You will work closely with cross-functional teams including engineering, product manage-ment, and business stakeholders to understand their data needs and deliver solutions that drive business value. You must possess strong analytical and problem-solving skills, and be proficient in working both independently and in teams. Your Responsibilities Analysing large datasets to identify trends, patterns, and insights that can inform business decisions Building and validating predictive models using statistical and machine learning techniques Creating clear and compelling visualizations to communicate findings to stakeholders Working closely with engineering, product management, and business teams to understand their data needs and deliver actionable insights Ensuring data quality and integrity by implementing best practices in data collection, processing, and storage Developing and maintaining dashboards and reports to track key metrics and performance indicators Staying up-to-date with the latest industry trends and technologies to continuously improve data science practices and methodologies Living Hitachi Energy’s core values of safety and integrity, which means taking responsibility for your own actions while caring for your colleagues and the business. Your Background Bachelor’s or Master’s degree in Computer Science, Statistics, Mathematics, or a related field 10+ years of experience in data science or a related field Relevant certifications in data science or machine learning will be an added advantage Proficiency in programming languages such as Python or R Experience with data analysis and visualization tools such as SQL, Tableau, or Power BI Strong analytical and problem-solving skills, with the ability to interpret complex data and provide actionable insights Excellent communication and interpersonal skills to effectively collaborate with cross-functional teams and present findings to stakeholders Ability to manage multiple projects simultaneously and deliver results within deadlines Experience with machine learning frameworks such as TensorFlow, Keras, or Scikit-learn Familiarity with big data technologies such as Hadoop, Spark, or AWS Proficiency in data manipulation libraries such as Pandas and NumPy Experience with data visualization libraries such as Matplotlib, Seaborn, or Plotly Knowledge of natural language processing (NLP) libraries such as NLTK or SpaCy Understanding of deep learning frameworks such as PyTorch or MXNet Experience with cloud platforms such as AWS, Google Cloud, or Azure Knowledge of version control systems such as Git Familiarity with containerization technologies such as Docker and Kubernetes Strong attention to detail and organizational skills Ability to articulate and present ideas to senior management Problem-solving mindset with the ability to work independently and as part of a team Eagerness to learn and enhance knowledge unassisted Strong networking skills and global orientation Ability to coach and mentor team members Effective collaboration with internal and external stakeholders Adaptability to manage and lead transformational projects Proficiency in both spoken & written English language is required Apply now Location Bengaluru, Karnataka, India Job type Full time Experience Experienced Job function Engineering & Science Contract Regular Publication date 2025-05-26 Reference number R0069604 Show more Show less

Position: Sr. MLOps Engineer Location: Ahmedabad, Pune Required Experience: 5+ Years of experience Preferred Immediate Joiners Job Overview Building the machine learning production infrastructure (or MLOps) is the biggest challenge most large companies currently have in making the transition to becoming an AI-driven organization. We are looking for a highly skilled MLOps Engineer to join our team. As an MLOps Engineer, you will be responsible for designing, implementing, and maintaining the infrastructure that supports the deployment, monitoring, and scaling of machine learning models in production. You will work closely with data scientists, software engineers, and DevOps teams to ensure seamless integration of machine learning models into our production systems. The job is NOT for your if You don’t want to build a career in AI/ML. Becoming an expert in this technology and staying current will require significant self-motivation. You like the comfort and predictability of working on the same problem or code base for years. The tools, best practices, architectures, and problems are all going through rapid change — you will be expected to learn new skills quickly and adapt. Key Responsibilities: · Model Deployment: Design and implement scalable, reliable, and secure pipelines for deploying machine learning models to production. · Infrastructure Management: Develop and maintain infrastructure as code (IaC) for managing cloud resources, compute environments, and data storage. · Monitoring and Optimization: Implement monitoring tools to track the performance of models in production, identify issues, and optimize performance. · Collaboration: Work closely with data scientists to understand model requirements and ensure models are production ready. · Automation: Automate the end-to-end process of training, testing, deploying, and monitoring models. · Continuous Integration/Continuous Deployment (CI/CD): Develop and maintain CI/CD pipelines for machine learning projects. · Version Control: Implement model versioning to manage different iterations of machine learning models. · Security and Governance: Ensure that the deployed models and data pipelines are secure and comply with industry regulations. · Documentation: Create and maintain detailed documentation of all processes, tools, and infrastructure. Qualifications: · 5+ years of experience in a similar role (DevOps, DataOps, MLOps, etc.) · Bachelor’s or master’s degree in computer science, Engineering, or a related field. · Experience with cloud platforms (AWS, GCP, Azure) and containerization (Docker, Kubernetes) · Strong understanding of machine learning lifecycle, data pipelines, and model serving. · Proficiency in programming languages such as Python, Shell scripting, and familiarity with ML frameworks (TensorFlow, PyTorch, etc.). · Exposure to deep learning approaches and modeling frameworks (PyTorch, Tensorflow, Keras, etc.) · Experience with CI/CD tools like Jenkins, GitLab CI, or similar · Experience building end-to-end systems as a Platform Engineer, ML DevOps Engineer, or Data Engineer (or equivalent) · Strong software engineering skills in complex, multi-language systems · Comfort with Linux administration · Experience working with cloud computing and database systems · Experience building custom integrations between cloud-based systems using APIs · Experience developing and maintaining ML systems built with open-source tools · Experience developing with containers and Kubernetes in cloud computing environments · Familiarity with one or more data-oriented workflow orchestration frameworks (MLFlow, KubeFlow, Airflow, Argo, etc.) · Ability to translate business needs to technical requirements · Strong understanding of software testing, benchmarking, and continuous integration · Exposure to machine learning methodology and best practices · Understanding of regulatory requirements for data privacy and model governance. Preferred Skills: · Excellent problem-solving skills and ability to troubleshoot complex production issues. · Strong communication skills and ability to collaborate with cross-functional teams. · Familiarity with monitoring and logging tools (e.g., Prometheus, Grafana, ELK Stack). · Knowledge of database systems (SQL, NoSQL). · Experience with Generative AI frameworks · Preferred cloud-based or MLOps/DevOps certification (AWS, GCP, or Azure) Show more Show less

We are seeking a talented and versatile Analytics & AI Specialist to join our dynamic team. This role combines expertise in General Analytics , Artificial Intelligence (AI) , Generative AI (GenAI) , forecasting techniques , and client management to deliver innovative solutions that drive business success. The ideal candidate will work closely with clients, leverage AI technologies to enhance data-driven decision-making, and apply forecasting models to predict business trends and outcomes. Responsibilities: Data Analytics & Insights : Conduct advanced data analysis across various datasets, identify patterns, trends, and insights that provide actionable business intelligence. Work with cross-functional teams to interpret business problems and develop data-driven strategies for performance optimization. Design and implement interactive dashboards and reports using data visualization tools like Power BI , AI & Machine Learning : Apply AI and machine learning techniques (e.g., supervised learning , unsupervised learning , deep learning ) to solve complex business problems. Develop, train, and deploy machine learning models for predictive analysis, classification, and recommendation systems. Utilize Generative AI (GenAI) models to create synthetic data, automate processes, and develop AI-driven content or solutions. Forecasting & Predictive Modeling : Build and maintain statistical forecasting models (e.g., ARIMA , Exponential Smoothing , Prophet ) and machine learning-based models to predict future trends and business outcomes. Perform demand forecasting, sales forecasting, and trend analysis for business planning and resource allocation. Continuously refine models based on historical data, seasonality, and external factors to improve prediction accuracy. Client Management & Consulting : Serve as a trusted advisor to clients, understanding their business needs and providing tailored data-driven solutions to improve performance. Communicate technical concepts and results to non-technical stakeholders in a clear, actionable manner. Develop presentations and reports for clients, highlighting insights, recommendations, and the value of AI-driven solutions. Collaborate with clients to define KPIs, metrics, and objectives for analytics projects and ensure the delivery of high-quality outcomes. AI Strategy & Innovation : Stay updated on the latest advancements in AI , Generative AI , and machine learning techniques, integrating these technologies into business solutions. Identify new opportunities to apply AI and analytics to improve efficiency, productivity, and customer experience for clients. Assist clients in scaling their AI initiatives, from proof-of-concept to full-scale deployment, and guide them through the AI lifecycle. Key Technical Skills: General Analytics : Strong knowledge of statistical analysis , data visualization , and data wrangling techniques. Proficiency with analytics tools such as Excel , R , Python (pandas, NumPy), and SQL for querying and analyzing large datasets. AI & Machine Learning : Experience with machine learning frameworks and libraries (e.g., TensorFlow , scikit-learn , PyTorch , Keras ). Knowledge of Generative AI (GenAI) tools and technologies, including GPT models , GANs (Generative Adversarial Networks) , and transformer models . Familiarity with AI cloud platforms (e.g., Google AI , AWS SageMaker , Azure AI ). Forecasting : Expertise in time series forecasting methods (e.g., ARIMA , Exponential Smoothing , Prophet ) and machine learning-based forecasting models. Experience applying predictive analytics and building forecasting models for demand, sales, and resource planning. Data Visualization & Reporting : Expertise in creating interactive reports and dashboards with tools like Tableau , Power BI , or Google Data Studio . Ability to present complex analytics and forecasting results in a clear and compelling way to stakeholders. Client Management & Communication : Strong client-facing skills with the ability to manage relationships and communicate complex technical concepts to non-technical audiences. Ability to consult and guide clients on best practices for implementing AI-driven solutions. Excellent written and verbal communication skills for client presentations, technical documentation, and report writing. Desired Qualifications: Bachelor’s or Master’s degree in Computer Science , Data Science , Statistics , Engineering , or a related field. 7-10 years of experience in data analytics , AI , forecasting , and client management , preferably in a consulting or client-facing role. Proven experience in implementing AI models, forecasting solutions, and data-driven strategies in a business context. A passion for continuous learning and staying updated with the latest trends in AI and machine learning technologies. Show more Show less

QA Engineer - AI Medicine moves too slow. At Velsera, we are changing that. Velsera was formed in 2023 through the shared vision of Seven Bridges and Pierian, with a mission to accelerate the discovery, development, and delivery of life-changing insights. Velsera provides software and professional services for: AI-powered multimodal data harmonization and analytics for drug discovery and development IVD development, validation, and regulatory approval Clinical NGS interpretation, reporting, and adoption With our headquarters in Boston, MA, we are growing and expanding our teams located in different countries! What will you do? 1. AI Model and Pipeline Validation · Design and implement test plans and test cases for AI frameworks to ensure comprehensive validation of functionality, accuracy, and performance. · Validate AI model outputs, identify discrepancies, and report bias in results. · Ensure end-to-end validation of data pipelines, including data ingestion, preprocessing, transformation, and model deployment. · Identify and resolve functional and non-functional issues in AI models and data workflows. 2. Test Automation & Scripting · Develop and execute automated test scripts using Python. · Utilize test automation tools like Selenium, PyTest, or similar frameworks to enhance testing efficiency. · Implement CI/CD testing frameworks for AI/ML pipelines. 3. Cloud-Based AI Testing · Conduct AI application testing on cloud platforms such as AWS, Azure, and Google Cloud. · Ensure AI model performance remains optimal across different environments and scenarios. · Validate large datasets, ensuring data preprocessing, augmentation, and quality assurance. 4. AI/ML Model Performance Testing · Identify and report bottlenecks in AI models. · Conduct stress testing for AI models in real-world use cases. 5. Collaboration & Quality Assurance · Work closely with AI/ML engineers, data scientists, and software engineers to define quality standards. · Contribute to compliance with AI-related regulatory and industry best practices. · Document and maintain test cases, defect reports, and validation procedures for AI systems. What do you bring to the table? · Strong experience in designing and implementing test cases for AI frameworks. · Experience in validating AI model outputs and identifying discrepancies or biases. · Attention to detail in identifying functional and non-functional issues in AI models. · Proficiency in scripting and developing automated test scripts using Python · Hands-on experience with test automation tools (Selenium, PyTest, etc.). · Experience with cloud-based testing platforms (AWS, Azure, Google Cloud). Preferred Skills: · Familiarity with validating large datasets and ensuring data quality. · Knowledge of AI/ML model evaluation tools like TensorFlow, Keras, PyTorch. · Experience in performance testing of AI models in diverse environments. Our Core Values People first. We create collaborative and supportive environments by operating with respect and flexibility to promote mental, emotional and physical health. We practice empathy by treating others the way they want to be treated and assuming positive intent. We are proud of our inclusive diverse team and humble ourselves to learn about and build our connection with each other. Patient focused. We act with swift determination without sacrificing our expectations of quality . We are driven by providing exceptional solutions for our customers to positively impact patient lives. Considering what is at stake, we challenge ourselves to develop the best solution, not just the easy one. Integrity. We hold ourselves accountable and strive for transparent communication to build trust amongst ourselves and our customers. We take ownership of our results as we know what we do matters and collectively we will change the healthcare industry. We are thoughtful and intentional with every customer interaction understanding the overall impact on human health. Curious. We ask questions and actively listen in order to learn and continuously improve . We embrace change and the opportunities it presents to make each other better. We strive to be on the cutting edge of science and technology innovation by encouraging creativity. Impactful. We take our social responsibility with the seriousness it deserves and hold ourselves to a high standard. We improve our sustainability by encouraging discussion and taking action as it relates to our natural, social and economic resource footprint. We are devoted to our humanitarian mission and look for new ways to make the world a better place. Velsera is an Equal Opportunity Employer: Velsera is proud to be an equal opportunity employer committed to providing employment opportunity regardless of sex, race, creed, colour, gender, religion, marital status, domestic partner status, age, national origin or ancestry. Show more Show less

Job Description Company Description: Master Works is a Saudi-based company operating in multiple countries, specializing in emerging technologies in data and digital transformation. They empower customers through innovation and expertise in areas such as data management, AI, and computer vision, strategy management, middleware, and software development. Experience: 8-12 years Role: Technical Lead (CV/AI) Location: Hyderabad (Work from office) Working Days: Sunday to Thursday Note: We are looking for a TL with minimum 8+ years of experience in CV/AI and 4+ years as a Technical Lead. Responsibilities: Lead Development Efforts: Oversee and guide the development of computer vision solutions, ensuring high-quality, robust, and scalable algorithms and models Architect Solutions: Design and architect complex systems involving real-world computer vision problems, integrating various technologies and platforms Team Coordination: Collaborate with other researchers, engineers, and stakeholders to coordinate project activities, manage timelines, and ensure project milestones are met Technical Leadership: Provide technical guidance and mentorship to team members, fostering an environment of continuous learning and improvement Algorithm Development: Lead the creation of industry-grade algorithms using OpenCV, Python, and deep learning frameworks Model Training and Evaluation: Oversee the training, evaluation, and fine-tuning of state-of-the-art deep learning models for tasks such as segmentation, object detection, classification, object tracking, visual style transfer, and generative adversarial networks Integration and Deployment: Supervise the integration of models with various in-house and external microservices, ensuring seamless operation and deployment using technologies like Kubernetes, Docker, and containerization Research and Innovation: Drive research into emerging technologies, developing proof of concepts (POCs) and evaluating their potential impact on existing and future projects Project Planning and Management: Define the scope of work for computer vision research projects, including setting clear research objectives and outcomes Technical Documentation: Prepare and maintain comprehensive technical documentation for algorithms, models, and deployment processes Collaboration and Communication: Engage with cross-functional teams, including product managers and business stakeholders, to align on project goals and deliverables. Requirements Leadership: Proven experience in leading technical teams, managing projects, and driving complex development efforts C++ (Mandatory): Proficiency in C++ for implementing high-performance algorithms Python (Mandatory): Expertise in Python for algorithm development and model training Object Detection (Mandatory): In-depth knowledge and experience in object detection techniques and frameworks Computer Vision (Mandatory): Strong background in computer vision principles, algorithms, and techniques Image Processing (Mandatory): Advanced skills in image processing methods and their application in real-world scenarios Deep Learning (Mandatory): Proficiency in deep learning technologies and frameworks such as Keras, TensorFlow, and PyTorch NLP: Proficiency in NLP algorithms and models such as Text classification, Speech Recognition, Sentiment Analysis, Named Entity Recognition (NER) LLM: Proficiency in LLM such as BERT, PaLM, T5, GPT AI and Machine Learning: Broad understanding of artificial intelligence, machine learning, and pattern recognition techniques Data Science: Experience with data science principles and practices, including data manipulation and analysis Generative Models: Familiarity with generative adversarial networks (GANs) and other generative models Deployment Practices: Experience with deployment technologies and practices, including Kubernetes, Docker, and model compression techniques Show more Show less

Position: Python Intern specializing in AI Location : Bhopal, Madhya Pradesh (Work from Office) Duration: 3 to 6 Months ✅ Must-Have Skills Core Python Programming: Functions, loops, list comprehensions, classes Error handling (try-except), logging File I/O operations, working with JSON/CSV Python Libraries for AI/ML: numpy, pandas – Data manipulation & analysis matplotlib, seaborn – Data visualization scikit-learn – Classical machine learning models Basic familiarity with tensorflow or pytorch Working knowledge of Openai / Transformers (bonus) AI/ML Fundamentals: Supervised and unsupervised learning (e.g., regression, classification, clustering) Concepts of overfitting, underfitting, and bias-variance tradeoff Train-test split, cross-validation Evaluation metrics: accuracy, precision, recall, F1-score, confusion matrix Data Preprocessing: Handling missing data, outliers Data normalization, encoding techniques Feature selection & dimensionality reduction (e.g., PCA) Jupyter Notebook Proficiency: Writing clean, well-documented notebooks Using markdown for explanations and visualizing outputs Version Control: Git basics (clone, commit, push, pull) Using GitHub/GitLab for code collaboration ✅ Good-to-Have Skills Deep Learning: Basic understanding of CNNs, RNNs, transformers Familiarity with keras or torch.nn for model building Generative AI: Prompt engineering, working with LLM APIs like OpenAI or Hugging Face Experience with vector databases (Qdrant, FAISS) NLP: Tokenization, stemming, lemmatization TF-IDF, Word2Vec, BERT basics Projects in sentiment analysis or text classification Tools & Platforms: VS Code, JupyterLab Google Colab / Kaggle Docker (basic understanding) Math for AI: Linear algebra, probability & statistics Basic understanding of gradients and calculus ✅ Soft Skills & Project Experience Participation in mini-projects (e.g., spam detector, digit recognizer) Kaggle competition experience Ability to clearly explain model outputs and results Documenting findings and creating simple dashboards or reports. Job Types: Full-time, Internship Pay: From ₹5,000.00 per month Schedule: Day shift Work Location: In person

This role is for one of Weekday's clients Salary range: Rs 1000000 - Rs 1500000 (ie INR 10-15 LPA) Min Experience: 3 years Location: Bengaluru JobType: full-time Requirements About the Role We are seeking a passionate and skilled AI Engineer to join our innovative engineering team. In this role, you will play a pivotal part in designing, developing, and deploying cutting-edge artificial intelligence solutions with a focus on natural language processing (NLP) , computer vision , and machine learning models using TensorFlow and related frameworks. You will work on challenging projects that leverage large-scale data, deep learning, and advanced AI techniques, helping transform business problems into smart, automated, and scalable solutions. If you're someone who thrives in a fast-paced, tech-driven environment and loves solving real-world problems with AI, we'd love to hear from you. Key Responsibilities Design, develop, train, and deploy AI/ML models using frameworks such as TensorFlow, Keras, and PyTorch. Implement solutions across NLP, computer vision, and deep learning domains, using advanced techniques such as transformers, CNNs, LSTMs, OCR, image classification, and object detection. Collaborate closely with product managers, data scientists, and software engineers to identify use cases, define architecture, and integrate AI solutions into products. Optimize model performance for speed, accuracy, and scalability, using industry best practices in model tuning, validation, and A/B testing. Deploy AI models to cloud platforms such as AWS, GCP, and Azure, leveraging their native AI/ML services for efficient and reliable operation. Stay up to date with the latest AI research, trends, and technologies, and propose how they can be applied within the company's context. Ensure model explainability, reproducibility, and compliance with ethical AI standards. Contribute to the development of MLOps pipelines for managing model versioning, CI/CD for ML, and monitoring deployed models in production. Required Skills & Qualifications 3+ years of hands-on experience building and deploying AI/ML models in production environments. Proficiency in TensorFlow and deep learning workflows; experience with PyTorch is a plus. Strong foundation in natural language processing (e.g., NER, text classification, sentiment analysis, transformers) and computer vision (e.g., image processing, object recognition). Experience deploying and managing AI models on AWS, Google Cloud Platform (GCP), and Microsoft Azure. Skilled in Python and relevant libraries such as NumPy, Pandas, OpenCV, Scikit-learn, Hugging Face Transformers, etc. Familiarity with model deployment tools such as TensorFlow Serving, Docker, and Kubernetes. Experience working in cross-functional teams and agile environments. Bachelor's or Master's degree in Computer Science, Artificial Intelligence, Data Science, or related field. Preferred Qualifications Experience with MLOps tools and pipelines (MLflow, Kubeflow, SageMaker, etc.). Knowledge of data privacy and ethical AI practices. Exposure to edge AI or real-time inference systems. Show more Show less

Summary Position Summary Sr. GenAI Engineer – Manager Role Overview: As a Sr. GenAI Engineer , you will actively engage in your engineering craft, taking a hands-on approach to multiple high-visibility projects. Your expertise will be pivotal in delivering solutions that delight customers and users, while also driving tangible value for Deloitte's business investments. You will leverage your extensive GenAI & engineering craftsmanship and advanced proficiency across multiple programming languages and modern frameworks, consistently demonstrating your exemplary track record in delivering high-quality, outcome-focused solutions. The ideal candidate will be a dependable team player and mentor, collaborating with cross-functional teams to design, develop, and deploy advanced software solutions. Key Responsibilities: Outcome-Driven Accountability: Embrace and drive a culture of accountability for customer and business outcomes. Develop engineering solutions that solve complex problems with valuable outcomes, ensuring high-quality, lean designs and implementations. Technical Leadership and Advocacy: Serve as the technical advocate for products, ensuring code integrity, feasibility, and alignment with business and customer goals. Lead requirement analysis, contributing to low-level architecture and component design, development, unit testing, integrations, and support. Engineering Craftsmanship: Maintain accountability for the integrity of code design, implementation, quality, data, and ongoing maintenance and operations. Stay hands-on, self-driven, and continuously learn new approaches, languages, and frameworks with significant focus on infusing AI/ML/GenAI where possible/appropriate. Create technical specifications, and write high-quality, supportable, scalable code and review code of other engineers, mentoring them, to ensure all quality KPIs are met or exceeded. Demonstrate collaborative skills to work effectively with diverse teams. Customer-Centric Engineering: Develop lean engineering solutions through rapid, inexpensive experimentation to solve customer needs. Engage with customers and product teams before, during, and after delivery to ensure the right solution is delivered at the right time. Incremental and Iterative Delivery: Adopt a mindset that favors action and evidence over extensive planning. Utilize a leaning-forward approach to navigate complexity and uncertainty, delivering lean, supportable, and maintainable solutions. Cross-Functional Collaboration and Integration: Work collaboratively with empowered, cross-functional teams including product management, experience, and delivery. Integrate diverse perspectives to make well-informed decisions that balance feasibility, viability, usability, and value. Foster a collaborative environment that enhances team synergy and innovation. Advanced Technical Proficiency: Possess deep expertise in modern software engineering practices and principles, including AI/ML/GenAI, Agile methodologies and DevSecOps to deliver daily product deployments using full automation from code check-in to production with all quality checks through SDLC lifecycle. Strive to be a role model, leveraging these techniques to optimize solutioning and product delivery. Demonstrate strong understanding of the full lifecycle product development, focusing on continuous improvement and learning. Domain Expertise: Quickly acquire domain-specific knowledge relevant to the business or product. Translate business/user needs, architectures, and UX/UI designs into technical specifications and code. Be a valuable, flexible, and dedicated team member, supportive of teammates, and focused on quality and tech debt payoff. Effective Communication and Influence: Exhibit exceptional communication skills, capable of articulating complex technical concepts clearly and compellingly. Inspire and influence teammates and product teams through well-structured arguments and trade-offs supported by evidence. Create coherent narratives that align technical solutions with business objectives. Engagement and Collaborative Co-Creation: Engage and collaborate with product engineering teams at all organizational levels, including customers as needed. Build and maintain constructive relationships, fostering a culture of co-creation and shared momentum towards achieving product goals. Align diverse perspectives and drive consensus to create feasible solutions. The team: US Deloitte Technology Product Engineering has modernized software and product delivery, creating a scalable, cost-effective model that focuses on value/outcomes that leverages a progressive and responsive talent structure. As Deloitte’s primary internal development team, Product Engineering delivers innovative digital solutions to businesses, service lines, and internal operations with proven bottom-line results and outcomes. It helps power Deloitte’s success. It is the engine that drives Deloitte, serving many of the world’s largest, most respected companies. We develop and deploy cutting-edge internal and go-to-market solutions that help Deloitte operate effectively and lead in the market. Our reputation is built on a tradition of delivering with excellence. Key Qualifications: A bachelor’s degree in computer science, software engineering, or a related discipline. An advanced degree (e.g., MS) is preferred but not required. Experience is the most relevant factor. Excellent software engineering foundation with deep understanding of OOP/OOD, sequence/activity/state/ER/DFD diagrams, data-structure, algorithms, code instrumentations, etc. 10-13 years of experience with AI/ML, with last 2 years focused on GenAI as well as technologies like OpenAI, Claude, Gemini, LangChain, Agents, Vector databases, and approaches like Prompt Engineering, fine-tuning, etc. Proven experience in: Python, R, TensorFlow, PyTorch, Keras, Julia, ML libraries, NLP, etc. Strong understanding and experience in managing big data of various forms to generate insights and create intelligence. Proven experience with Angular, React, NodeJS, Python, Streamlit, C#, .NET Core, Golang, SQL/NoSQL. Proven experience with cloud-native engineering, using FaaS/PaaS/micro-services on cloud hyper-scalers like Azure, AWS, and GCP. Strong understanding of methodologies & tools like, XP, Lean, SAFe, DevSecOps, SRE, ADO, GitHub, SonarQube, etc. to deliver high quality products rapidly. Excellent interpersonal and organizational skills, with the ability to handle diverse situations, complex projects, and changing priorities, behaving with passion, empathy, and care. Work Location: Hyderabad Recruiting tips From developing a stand out resume to putting your best foot forward in the interview, we want you to feel prepared and confident as you explore opportunities at Deloitte. Check out recruiting tips from Deloitte recruiters. Benefits At Deloitte, we know that great people make a great organization. We value our people and offer employees a broad range of benefits. Learn more about what working at Deloitte can mean for you. Our people and culture Our inclusive culture empowers our people to be who they are, contribute their unique perspectives, and make a difference individually and collectively. It enables us to leverage different ideas and perspectives, and bring more creativity and innovation to help solve our clients' most complex challenges. This makes Deloitte one of the most rewarding places to work. Our purpose Deloitte’s purpose is to make an impact that matters for our people, clients, and communities. At Deloitte, purpose is synonymous with how we work every day. It defines who we are. Our purpose comes through in our work with clients that enables impact and value in their organizations, as well as through our own investments, commitments, and actions across areas that help drive positive outcomes for our communities. Professional development From entry-level employees to senior leaders, we believe there’s always room to learn. We offer opportunities to build new skills, take on leadership opportunities and connect and grow through mentorship. From on-the-job learning experiences to formal development programs, our professionals have a variety of opportunities to continue to grow throughout their career. Requisition code: 210107 Show more Show less

Flexera saves customers billions of dollars in wasted technology spend. A pioneer in Hybrid ITAM and FinOps, Flexera provides award-winning, data-oriented SaaS solutions for technology value optimization (TVO), enabling IT, finance, procurement and cloud teams to gain deep insights into cost optimization, compliance and risks for each business service. Flexera One solutions are built on a set of definitive customer, supplier and industry data, powered by our Technology Intelligence Platform, that enables organizations to visualize their Enterprise Technology Blueprint™ in hybrid environments—from on-premises to SaaS to containers to cloud. We’re transforming the software industry. We’re Flexera. With more than 50,000 customers across the world, we’re achieving that goal. But we know we can’t do any of that without our team. Ready to help us re-imagine the industry during a time of substantial growth and ambitious plans? Come and see why we’re consistently recognized by Gartner, Forrester and IDC as a category leader in the marketplace. Learn more at flexera.com Job Summary: We are seeking an accomplished and forward-thinking Senior Data Scientist to join our Data Intelligence team. The ideal candidate will drive the transformation of manual data curation processes into automated, AI/ML-powered workflows, ensuring higher efficiency and accuracy in how we manage and utilize data. This role involves collaborating with cross-functional teams—including product managers, operations, and data engineering—to implement innovative solutions that enhance data quality, reduce manual effort, and drive business value. Key Responsibilities: Identify manual data curation and processing workflows, then design and implement AI/ML-driven automation solutions to improve efficiency. Lead the end-to-end development of ML solutions for data cleaning, validation, and standardization. Utilize statistical, machine learning, and deep learning techniques to solve complex data intelligence challenges. Perform exploratory data analysis to uncover insights, refine model features, and guide decision-making. Collaborate with data engineering teams to ensure robust and efficient data pipelines that feed into AI/ML systems. Research and implement state-of-the-art methodologies in ML, deep learning, and related fields. Oversee iterative experimentation, including A/B testing and model optimization. Mentor junior data scientists, reviewing code, models, and workflows for best practices. Communicate findings effectively to both technical and non-technical audiences. Champion AI/ML initiatives across the organization and identify new areas for innovation. Required Skills and Qualifications: 5+ years of hands-on experience in Data Science or Machine Learning roles, with a strong focus on automating data-centric processes. Proficiency in Python or R and core data science libraries (e.g., NumPy, Pandas, scikit-learn). Expertise in at least one deep learning framework (e.g., TensorFlow, PyTorch, Keras). Strong foundation in statistics, mathematics, or related quantitative fields. Proven experience deploying ML models or automation solutions in cloud environments (AWS, Azure, or GCP). Demonstrated success in reducing manual workload through ML-driven data curation or process optimization. Familiarity with version control (Git) and CI/CD workflows in a data science context. Exceptional problem-solving and analytical skills. Effective communication skills for presenting complex insights to diverse stakeholders. Preferred Qualifications: Experience with large-scale data processing frameworks (e.g., Spark) and distributed computing. Familiarity with specialized domains like Natural Language Processing or Computer Vision. Knowledge of MLOps tools (MLflow, Databricks, Kubeflow) and best practices for continuous model delivery. Background in experimentation methodologies, A/B testing, and performance evaluation. Experience in data governance, data lineage, or data stewardship best practices. Publications in AI/ML conferences or journals. Flexera is proud to be an equal opportunity employer. Qualified applicants will be considered for open roles regardless of age, ancestry, color, family or medical care leave, gender identity or expression, genetic information, marital status, medical condition, national origin, physical or mental disability, political affiliation, protected veteran status, race, religion, sex (including pregnancy), sexual orientation, or any other characteristic protected by local/national laws, policies and/or regulations. Flexera understands the value that results from employing a diverse, equitable, and inclusive workforce. We recognize that equity necessitates acknowledging past exclusion and that inclusion requires intentional effort. Our DEI (Diversity, Equity, and Inclusion) council is the driving force behind our commitment to championing policies and practices that foster a welcoming environment for all. We encourage candidates requiring accommodations to please let us know by emailing careers@flexera.com. Show more Show less

Keen on working directly with our clients and developing innovative ML and LLM Solutions? Want to be part of our APAC Center of Excellence team delivering some of the most innovative solutions in Data & AI? Ready to join a growing company that has won Microsoft Partner Of The Year for Data & AI ? Practical Information : Location: Delhi/Noida/Mumbai/Bangalore/Chennai, India | Reports to: Director of CoE Data & AI | Language Requirements: Professional English, written and verbal | Work Arrangement: Hybrid Join our CoE team as our new ML/LLM Engineer where you'll be driving the development, deployment, and optimization of Large Language Models and machine learning solutions for production environments, both on-premises and on Cloud platforms. You will master your role with key performance indicators (KPIs) that revolve around successful implementation and efficiency of these solutions . Other responsibilities will include: Collaborating closely with clients to understand their requirements and delivering custom solutions Extending prototypes and enhancing them into robust and scalable solutions Designing and fine-tuning large language models tailored for specific applications Efficiently managing large language models in production environment s to facilitate close to real-time solutions Developing and executing ML pipelines, deploying models to enhance accuracy across various process steps within our pipeline Your Competencies: 3+ years of experience in NLP or a similar role Understanding of data structures, data modeling, ML algorithms, and software architecture Experience coding in Python with ML frameworks (e.g., Keras or PyTorch) and libraries (e.g., scikit-learn) Practical experience with ML Cloud services on Azure or AWS (e.g., Azure ML, Amazon SageMaker, or MLFlow) About You: Being learning-oriented with a dedication to staying updated on cutting-edge advancements in large language models and NLP Demonstrating strong analytical and problem-solving skills Exhibiting excellent communication skills What's in it for you: Medical, and life insurance Hybrid workplace Internet & Mobile reimbursement Upskilling through certifications and training At Crayon, we are deeply committed to fostering a culture of diversity, equity, inclusion, and belonging (DEIB). We believe that diversity in all its forms strengthens our team and enhances innovation and effectiveness. We welcome applications from individuals of all backgrounds, regardless of race, colour, age, origin, religion, sexual orientation, gender (identity), genetic information, neurodiversity, disability, or any other basis protected by local laws and regulations. When filling vacancies, we prioritize equally qualified candidates who bring diverse backgrounds and experiences, helping to enrich our team dynamics and foster a vibrant, inclusive work environment. If you require any assistance or reasonable accommodation during the application process, please let us know. Apply to join an award-winning employer! Show more Show less

What you’ll do: Utilize advanced mathematical, statistical, and analytical expertise to research, collect, analyze, and interpret large datasets from internal and external sources to provide insight and develop data driven solutions across the company Build and test predictive models including but not limited to credit risk, fraud, response, and offer acceptance propensity Responsible for the development, testing, validation, tracking, and performance enhancement of statistical models and other BI reporting tools leading to new innovative origination strategies within marketing, sales, finance, and underwriting Leverage advanced analytics to develop innovative portfolio surveillance solutions to track and forecast loan losses, that influence key business decisions related to pricing optimization, credit policy and overall profitability strategy Use decision science methodologies and advanced data visualization techniques to implement creative automation solutions within the organization Initiate and lead analysis to bring actionable insights to all areas of the business including marketing, sales, collections, and credit decisioning Develop and refine unit economics models to enable marketing and credit decisions What you’ll need: 5 to 8 years of experience in data science or a related role with a focus on Python programming and ML models. Proficient in Python programming and libraries such as NumPy, Pandas, Scikit-learn, TensorFlow, Keras, PyTorch. Strong understanding of machine learning algorithms, deep learning techniques, and natural language processing methodologies. Strong Python/Pyspark knowledge enabling data preprocessing and historical feedback loop for context loading for LLM. Familiarity with SQL databases (MySQL/ SQL Server) and vector databases like (Qdrant, Faiss). Proven track record of delivering successful AI projects that demonstrate measurable impact on business outcomes. Strong analytical skills with the ability to interpret complex data sets. Master’s or PhD in Computer Science, Data Science or related field preferred. Life at Next: At our core, we're driven by the mission of tailoring growth for our customers by enabling them to transform their aspirations into tangible outcomes. We're dedicated to empowering them to shape their futures and achieve ambitious goals. To fulfil this commitment, we foster a culture defined by agility, innovation, and an unwavering commitment to progress. Our organizational framework is both streamlined and vibrant, characterized by a hands-on leadership style that prioritizes results and fosters growth. Perks of working with us: Clear objectives to ensure alignment with our mission, fostering your meaningful contribution. Abundant opportunities for engagement with customers, product managers, and leadership. You'll be guided by progressive paths while receiving insightful guidance from managers through ongoing feedforward sessions. Cultivate and leverage robust connections within diverse communities of interest. Choose your mentor to navigate your current endeavors and steer your future trajectory. Embrace continuous learning and upskilling opportunities through Nexversity. Enjoy the flexibility to explore various functions, develop new skills, and adapt to emerging technologies. Embrace a hybrid work model promoting work-life balance. Access comprehensive family health insurance coverage, prioritizing the well-being of your loved ones. Embark on accelerated career paths to actualize your professional aspirations. Who we are? We enable high growth enterprises build hyper personalized solutions to transform their vision into reality. With a keen eye for detail, we apply creativity, embrace new technology and harness the power of data and AI to co-create solutions tailored made to meet unique needs for our customers. Join our passionate team and tailor your growth with us! Show more Show less

Role: Lead - Generative AI/ Machine Learning/ Artificial Intelligence Experience: 5 - 10 years Job Location: Chennai About OJ Commerce OJ Commerce (OJC), a rapidly expanding and profitable online retailer, is headquartered in Florida, USA, with a fully-functional office in Chennai, India. We deliver exceptional value to our customers by harnessing cutting-edge technology, fostering innovation, and establishing strategic brand partnerships to enable a seamless, enjoyable shopping experience featuring high-quality products at unbeatable prices. Our advanced, data-driven system streamlines operations with minimal human intervention. Our extensive product portfolio encompasses over a million SKUs and more than 2,500 brands across eight primary categories. This role involves driving the marketing efforts for a product line with a compound annual growth rate (CAGR) of 70 PERCENT to achieve the targeted revenue run rate of US$ 200 million in three years. As we continue to forge new partner relationships, our flagship website, www.ojcommerce.com, has rapidly emerged as a top-performing e-commerce channel, catering to millions of customers annually. Job Summary We are seeking a highly experienced and motivated Lead Engineer with deep expertise in Generative AI, Machine Learning, and Artificial Intelligence. The ideal candidate will drive the design, development, and deployment of AI/ML solutions, lead technical teams, and collaborate with cross-functional stakeholders to solve real-world problems using cutting-edge technologies. Key Responsibilities Lead and mentor a team of AI/ML engineers and researchers. Architect and deploy scalable Generative AI solutions (e.g., LLMs, diffusion models, transformers). Design and implement end-to-end machine learning pipelines, including data preprocessing, model training, validation, and deployment. Work with large-scale datasets to develop, fine-tune, and evaluate models. Collaborate with product, design, and engineering teams to integrate AI capabilities into applications. Stay current with the latest research, tools, and trends in AI/ML, and recommend adoption where applicable. Conduct technical reviews and provide guidance on best practices in AI model development. Ensure ethical, secure, and responsible AI development. Must-Have Skills & Experience 510 years of hands-on experience in AI/ML, including leadership responsibilities. Strong understanding of deep learning, NLP, computer vision, or generative models. Proven experience with Generative AI frameworks (e.g., OpenAI, HuggingFace, LangChain, Diffusers). Proficient in ML libraries and tools such as TensorFlow, PyTorch, scikit-learn, Keras, etc. Solid programming skills in Python; experience with other languages like Java, C , or Go is a plus. Familiarity with cloud platforms (AWS, GCP, Azure) and MLOps practices. Experience deploying models in production environments (APIs, microservices, containers). Strong problem-solving, communication, and analytical skills. Nice-to-Have Research contributions or publications in AI/ML conferences or journals. Experience working with multi-modal models (text image audio). Knowledge of Reinforcement Learning, Prompt Engineering, or AutoML. Exposure to data governance, model explainability, and AI ethics. What we Offer Competitive salary Medical Benefits/Accident Cover Flexi Office Working Hours Fast-paced start-up Show more Show less

About The Company Armada is an edge computing startup that provides computing infrastructure to remote areas where connectivity and cloud infrastructure is limited, as well as areas where data needs to be processed locally for real-time analytics and AI at the edge. We’re looking to bring on the most brilliant minds to help further our mission of bridging the digital divide with advanced technology infrastructure that can be rapidly deployed anywhere . About The Role We are seeking a highly motivated Senior Data Engineer to join our Data Platform team for our Edge Computing AI Platform. As a Data Engineer in our Data Platform team, you will be responsible for helping us shape the future of data ingestion, processing, and analysis, while maintaining and improving existing data systems. If you are a highly motivated individual with a passion for cutting-edge AI, cloud, edge, and infrastructure technology and are ready to take on the challenge of defining and delivering a new computing and AI platform, we would love to hear from you. Location. This role is office-based at our Trivandrum, Kerala office. What You'll Do (Key Responsibilities) Build new tools and services that support other teams’ data workflows, ingestion, processing, and distribution. Design, discuss, propose, and implement to our existing data tooling and services. Collaborate with a diverse group of people, giving and receiving feedback for growth. Execute on big opportunities and contribute to building a company culture rising to the top of the AI and Edge Computing industry. Required Qualifications 6+ years of experience in software development. Experience with data modeling, ETL/ELT processes, streaming data pipelines. Familiarity with data warehousing technologies like Databricks/Snowflake/BigQuery/Redshift and data processing platforms like Spark; working with data warehousing file formats like Avro and Parquet. Strong understanding of Storage (Object Stores, Data Virtualization) and Compute (Spark on K8S, Databricks, AWS EMR and the like) architectures used by data stack solutions and platforms. Experience with scheduler tooling like Airflow. Experience with version control systems like Git and working using a standardized git flow. Strong analytical and problem-solving skills, with the ability to work independently and collaboratively in a team environment. Professional experience developing data-heavy platforms and/or APIs. A strong understanding of distributed systems and how architectural decisions affect performance and maintainability. Bachelor’s degree in computer science, Electrical Engineering, or related field. Preferred Qualifications Experience analyzing ML algorithms that could be used to solve a given problem and ranking them by their success probability. Proficiency with a deep learning framework such as TensorFlow or Keras. Understanding of MLOps practices and practical experience with platforms like Kubeflow / Sagemaker. Compensation & Benefits For India-based candidates: We offer a competitive base salary along with equity options, providing an opportunity to share in the success and growth of Armada. You're a Great Fit if You're A go-getter with a growth mindset. You're intellectually curious, have strong business acumen, and actively seek opportunities to build relevant skills and knowledge A detail-oriented problem-solver. You can independently gather information, solve problems efficiently, and deliver results with a "get-it-done" attitude Thrive in a fast-paced environment. You're energized by an entrepreneurial spirit, capable of working quickly, and excited to contribute to a growing company A collaborative team player. You focus on business success and are motivated by team accomplishment vs personal agenda Highly organized and results-driven. Strong prioritization skills and a dedicated work ethic are essential for you Equal Opportunity Statement At Armada, we are committed to fostering a work environment where everyone is given equal opportunities to thrive. As an equal opportunity employer, we strictly prohibit discrimination or harassment based on race, color, gender, religion, sexual orientation, national origin, disability, genetic information, pregnancy, or any other characteristic protected by law. This policy applies to all employment decisions, including hiring, promotions, and compensation. Our hiring is guided by qualifications, merit, and the business needs at the time. Show more Show less

Company: Qualcomm India Private Limited Job Area: Engineering Group, Engineering Group > Software Engineering General Summary: As a leading technology innovator, Qualcomm pushes the boundaries of what's possible to enable next-generation experiences and drives digital transformation to help create a smarter, connected future for all. As a Qualcomm Software Engineer, you will design, develop, create, modify, and validate embedded and cloud edge software, applications, and/or specialized utility programs that launch cutting-edge, world class products that meet and exceed customer needs. Qualcomm Software Engineers collaborate with systems, hardware, architecture, test engineers, and other teams to design system-level software solutions and obtain information on performance requirements and interfaces. Minimum Qualifications: Bachelor's degree in Engineering, Information Systems, Computer Science, or related field and 4+ years of Software Engineering or related work experience. OR Master's degree in Engineering, Information Systems, Computer Science, or related field and 3+ years of Software Engineering or related work experience. OR PhD in Engineering, Information Systems, Computer Science, or related field and 2+ years of Software Engineering or related work experience. 2+ years of work experience with Programming Language such as C, C++, Java, Python, etc. Experience - 2 to 12 years Location - Bangalore General Summary As a leading technology innovator, Qualcomm pushes the boundaries of what's possible to enable next generation experiences and drives digital transformation to help create a smarter, connected future for all. As a Qualcomm Machine Learning Engineer, you will create and implement machine learning techniques, frameworks, and tools that enable the efficient utilization of state-of-the-art machine learning solutions over a broad set of technology verticals or designs. In this position you will be responsible for assisting with the software design and development of the Qualcomm AI Stack, SDKs and associated tools, targeting Snapdragon platforms. You will have the opportunity to show your passion for software design and development with your analytical, design, programming, and debugging skills. Responsibilities Software development of the AI orchestration framework, engine, and tools to develop agentic workflows and execution of the latest Neural Networks on Snapdragon chips. Validate the performance and accuracy of your software through detailed analysis and test of the use cases. Minimum Qualifications Software development experience using C/C++ and/or Python Strong software development skills (e.g. data structure and algorithm design, object oriented or other software design paradigm knowledge, software debugging and testing, etc.) Experience in developing applications using Inter-Process Communication (IPC), like AIDL or SOME/IP. Strong communication skills (verbal, presentation, written) Preferred Qualifications Experience in developing embedded applications with low level interactions between operating systems (e.g., Linux, Android, Windows, QNX) and Hardware. Experience using/integrating Qualcomm AI Stack products (e.g. QNN, SNPE, QAIRT) Experience with LLM, LVM, LMM models, and other NN architectures. Experience with Machine Learning frameworks (e.g., Tensor Flow, Pytorch, Keras). Software development experience with Java Ability to collaborate across a globally diverse team and multiple interests Education Requirements Required: Bachelor's degree in Engineering, Information Systems, Computer Science, or related field. Preferred: Bachelor's Computer Science, Computer Engineering, or Electrical Engineering Applicants : Qualcomm is an equal opportunity employer. If you are an individual with a disability and need an accommodation during the application/hiring process, rest assured that Qualcomm is committed to providing an accessible process. You may e-mail disability-accomodations@qualcomm.com or call Qualcomm's toll-free number found here. Upon request, Qualcomm will provide reasonable accommodations to support individuals with disabilities to be able participate in the hiring process. Qualcomm is also committed to making our workplace accessible for individuals with disabilities. (Keep in mind that this email address is used to provide reasonable accommodations for individuals with disabilities. We will not respond here to requests for updates on applications or resume inquiries). Qualcomm expects its employees to abide by all applicable policies and procedures, including but not limited to security and other requirements regarding protection of Company confidential information and other confidential and/or proprietary information, to the extent those requirements are permissible under applicable law. To all Staffing and Recruiting Agencies : Our Careers Site is only for individuals seeking a job at Qualcomm. Staffing and recruiting agencies and individuals being represented by an agency are not authorized to use this site or to submit profiles, applications or resumes, and any such submissions will be considered unsolicited. Qualcomm does not accept unsolicited resumes or applications from agencies. Please do not forward resumes to our jobs alias, Qualcomm employees or any other company location. Qualcomm is not responsible for any fees related to unsolicited resumes/applications. If you would like more information about this role, please contact Qualcomm Careers. 3072302 Show more Show less

It's fun to work in a company where people truly BELIEVE in what they are doing! We're committed to bringing passion and customer focus to the business. About Fractal Fractal is a strategic AI partner to Fortune 500 companies with a vision to power every human decision in the enterprise. Fractal is building a world where individual choices, freedom, and diversity are the greatest assets; an ecosystem where human imagination is at the heart of every decision. Where no possibility is written off, only challenged to get better. We believe that a true Fractalite is the one who empowers imagination with intelligence. Fractal has been featured as a Great Place to Work by The Economic Times in partnership with the Great Place to Work® Institute and recognized as a ‘Cool Vendor’ and a ‘Vendor to Watch’ by Gartner. Job Description As an NLP Lead Data Scientist, you will be building solutions that require analyzing and transforming natural language data into useful outcomes using NLP techniques. To succeed in this role, you should possess outstanding skills in statistical analysis, machine learning methods and text representation techniques and language models, consulting experience in FS, banking domain, good communication and client handling skill. Responsibilities Build Solutions that identify intent and entities, other features from user comments, chat transcript and other unstructured text data. Design and implement advanced solutions utilizing NLP traditional Models and Large Language Models (LLMs). Demonstrate self-driven initiative by taking ownership and creating end-to-end solutions. Conduct research and stay informed about the latest developments in generative AI and LLMs. Train and fine-tune pre-trained NLP models and run evaluation experiments. Perform statistical analysis of results and refine models. Basic logical pseudo code writing. Develop and maintain code libraries, tools, and frameworks to support generative AI development. Participate in code reviews and contribute to maintaining high code quality standards. Engage in the entire software development lifecycle, from design and testing to deployment and maintenance. Collaborate closely with cross-functional teams to align messaging, contribute to roadmaps, and integrate software into different repositories for core system compatibility. Possess strong analytical and problem-solving skills. Demonstrate excellent communication skills and the ability to work effectively in a team environment. Primary Skills Natural Language Processing (NLP): Hands-on experience in use case classification, topic modeling, Q&A and chatbots, search, Document AI, summarization, and content generation. AND/OR Computer Vision and Audio: Hands-on experience in image classification, object detection, segmentation, image generation, audio, and video analysis. Generative AI: Proficiency with SaaS LLMs, including Lang chain, llama index, vector databases, Prompt engineering (COT, TOT, ReAct, agents). Experience with Azure OpenAI, Google Vertex AI, AWS Bedrock for text/audio/image/video modalities. Familiarity with Open-source LLMs, including tools like TensorFlow/Pytorch and huggingface. Techniques such as quantization, LLM finetuning using PEFT, RLHF, data annotation workflow, and GPU utilization. Cloud: Hands-on experience with cloud platforms such as Azure, AWS, and GCP. Cloud certification is preferred. Application Development: Proficiency in Python, Docker, FastAPI/Django/Flask, and Git Domain Skill: Consulting experience with FS,Banking domain for at least 3 years. Required Qualifications 16-20 years into Deep Learning framewokrs like Keras, Pytorch, TensorFlow Experience of design, building and deployment of ML/NLP Solutions Proficient in Python & SQL Experience in NLP tools like Genism, spacy, Stanford NLP, HuggingFace Must have excellent project/program management skills and have experience managing multiple work streams and projects at one time Have business acumen to manage revenues profitably and meet financial goals consistently. Able to quantify business value for clients and create win-win commercial propositions. Preferred Qualifications Experience automating data within Tableau/Qlik/ggplot/Shiny to tell a story through interactive visualizations Client relationship management: Build deep client relationship, network & be a thought partner. Anticipate business problems & deliver par excellence. Sales Support & account growth: Actively focus on opportunities to grow the client along with the senior engagement manager. Support the sales team as required for RFPs and regular sales pitches Firm building: Contribute to firm growth by participating and conducting training sessions. Coaching & grooming: Coach & groom the team on gaining knowledge & skills on first principles of analytics techniques, problem-solving, project management, client relationship management EDUCATION: B.E/B.Tech/M.Tech in Computer Science or related technical degree OR Equivalent If you like wild growth and working with happy, enthusiastic over-achievers, you'll enjoy your career with us! Not the right fit? Let us know you're interested in a future opportunity by clicking Introduce Yourself in the top-right corner of the page or create an account to set up email alerts as new job postings become available that meet your interest! Show more Show less

When you join Verizon You want more out of a career. A place to share your ideas freely even if theyre daring or different. Where the true you can learn, grow, and thrive. At Verizon, we power and empower how people live, work and play by connecting them to what brings them joy. We do what we love driving innovation, creativity, and impact in the world. Our V Team is a community of people who anticipate, lead, and believe that listening is where learning begins. In crisis and in celebration, we come together lifting our communities and building trust in how we show up, everywhere & always. Want in? Join the V Team Life. What You'll Be Doing As an Associate Director, you will lead a team of data scientists focused on a specific program(s) delivering a business outcome within a problem space. These AI capabilities will include predictive, prescriptive and adaptive applications for all predictions and inferences at Verizon. Models will typically get implemented on premise, in cloud and/or on the edge and in both real-time and batch mode depending upon the business applications. An ideal candidate will have excellent communication skills, critical thinking, and strategic thinking skills above and beyond the technical knowledge and leadership skills required for this position. This role is responsible for Forecasting, data analytics, Gen AI capabilities and people management across projects by applying various statistical techniques, business acumen & stake holder management. The Associate Director develops the team and brings in best in class methods. This role serves as a leader in AI Science with a focus on driving continuous improvement for the demand function. Having Domain knowledge of VCG/VBG is an Add-on. Build and Manage the Team Building a diverse team with an inclusive culture and also attract and retain top data science and AI talent. Mentoring, guiding, and developing Data Scientists and people leaders (if applicable) Enabling career development via access to training resources, on the job coaching and mentoring Deliver Business Outcomes & Influence Business Partners Leading and managing team responsible for deploying analytical solutions to inform forecasts and drive decision-making across various projects Developing and implementing Forecasting best practices Implementing generalized AI solutions that address several business outcomes across a problem space. Operating with a high degree of autonomy, accountability and a sense of urgency in delivering business outcomes. Aligning with business partners to enable your team to design, develop, and deploy large-scale AI products with closed loop optimization in a production environment. Elevate the AI Practice Enforcing the established best practices and governance routines to ensure adherence to model management practices, peer reviews, and compliance to our policy standards for privacy, ethics and bias. Fostering an innovation culture where our scientists are engaged in pioneering work that can be shared with the world in a number of ways like inventions, open source, publications, etc. Creating monetizable AI applications that can be leveraged both within Verizon and externally with Verizons partners. What were looking for ... You are a dynamic leader with experience in implementation of AI in commercial applications driving business value and are proud to be a hands-on practitioner. You are constantly challenging the status quo and identifying new innovative ways to drive your team towards new ways of working that creates efficiencies. Youll Need To Have Bachelors degree or four or more years of work experience. Six or more years of relevant work experience. Five or more years of experience leading and building data science teams and talent Experience delivering business outcomes in large and complex business organizations or fast-growing startup businesses. Ability to communicate complex model designs and outcomes in business terms to a non-technical audience. Understanding and ability to explain both the code and the underlying math used in algorithms/models. Excellent coding proficiency in Python, Java, R, etc. Knowledge of AI/ML models, frameworks (Keras, PyTorch, etc.) and libraries/packages/APIs (e.g., Scikit). Even better if you have one or more of the following: Advanced degree in Computer Science, Mathematics or similar field is preferred Advanced knowledge of math, probability, statistics, and models Experience with Hadoop, AWS/GCP/Azure or other distributed compute services and cloud environments Exposure to data structures, data modeling and software architecture Excellent cross-functional collaboration skills & outstanding analytical and problem-solving skills. Where youll be working In this hybrid role, you'll have a defined work location that includes work from home and assigned office days set by your manager. Scheduled Weekly Hours 40 Equal Employment Opportunity Verizon is an equal opportunity employer. We evaluate qualified applicants without regard to race, gender, disability or any other legally protected characteristics. Locations Hyderabad, India Show more Show less