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

About the Company Zetheta Algorithms Private Limited (www.zetheta.com) is a FinTech start-up which has been recently set up and is developing innovative AI tools. https://www.instagram.com/zetheta.official/ About the Role We are seeking a talented and motivated student intern to develop AI models from scratch within a 2 month timeframe. This is an extraordinary opportunity for a self-driven, technically skilled student to build a complete enterprise-grade system that incorporates cutting-edge AI technologies including deep learning. Responsibilities Design and implement the complete AI Models following provided specifications Develop both frontend and backend components of the platform Create and integrate AI modules Design and optimize database schema and queries Ensure system security, especially for sensitive identity verification data Deploy the solution using zero-cost cloud services Document code, APIs, and system architecture Complete the entire project within the 2 month timeline Qualifications A student who is currently pursuing or recently completed a degree in Computer Science, AI/ML, or related field and is available full time for 2 months. Required Skills Strong programming skills in Python and JavaScript Experience with React.js for frontend development Knowledge of FastAPI or similar Python web frameworks Familiarity with database design and SQL (particularly PostgreSQL) Understanding of basic machine learning concepts Self-motivated with ability to work independently Preferred Skills Sound knowledge of AI/ML libraries (TensorFlow, Keras, HuggingFace Transformers) Familiarity with computer vision techniques using OpenCV Knowledge of natural language processing concepts Sound knowledge of facial recognition or emotion detection systems Understanding of identity verification methodologies Docker containerization experience Prior work with cloud deployment (AWS) Who Should Apply? Student of fresh graduate from any academic discipline. Strong analytical and problem-solving skills. Basic knowledge of Microsoft Office. Willingness to self-learn and work in a fast-paced environment. Internship Details Duration: Self paced, option for 1 month or 2 month (within a period of 4 months provided). Type: Unpaid Show more Show less

At EY, you’ll have the chance to build a career as unique as you are, with the global scale, support, inclusive culture and technology to become the best version of you. And we’re counting on your unique voice and perspective to help EY become even better, too. Join us and build an exceptional experience for yourself, and a better working world for all. Title-Senior Developer Overall Years Of Experience-3 To 5 Years Relevant Years of Experience-3+ Technical Lead: The Artificial Intelligence (AI) & Machine Learning (ML) Developer is responsible for designing and implementing solutions based on AI and Machine Learning. Position Summary 3+yrs of experience in a similar profile with strong service delivery background Lead and guide a team of Junior Developers. Design technical specifications for AI, Machine Learning, Deep Learning, NLP, NLU, NLG projects and implement the same. Contribute to products or tools built on Artificial Intelligence technologies and paradigms, that can enable high-value offerings. Building AI solutions would involve the use and creation of AI and ML techniques including but not limited to deep learning, computer vision, natural language processing, search, information retrieval, information extraction, probabilistic graphical models and machine learning. Plan and implement version control of source control Define and implement best practises for software development Excellent computer skills - proficient in excel, PowerPoint, word and outlook Excellent interpersonal skills and a collaborative management style Ability to analyse and suggest solutions Strong command on verbal and written English language Essential Roles and Responsibilities Create Technical Design for AI, Machine Learning, Deep Learning, NLP, NLU, NLG projects and implementing the same in production. Solid understanding and experience of deep learning architectures and algorithms Experience solving problems in industry using deep learning methods such as recurrent neural networks (RNN, LSTM), convolutional neural nets, auto-encoders etc Should have experience of 2-3 production implementation of machine learning projects. Knowledge of open source libraries such as Keras, Tensor Flow, Pytorch Work with business analysts/consultants and other necessary teams to create a strong solution Should have in depth understanding and experience of Data science and Machine Learning projects using Python, R etc Skills in Java/C are a plus Should developing solutions using python in AI/ML projects Should be able to train and build a team of technical developers Desired to have experience as leads in designing and developing applications/tools using Microsoft technologies - ASP.Net, C#, HTML5, MVC Desired to have knowledge on any of the cloud solutions such as Azure or AWS Desired to have knowledge on any of container technology such as Docker Should be able to work with a multi culture global teams and team virtually Should be able to build strong relationship with project stakeholders Should be able to build strong relationship with project stakeholders EY | Building a better working world EY exists to build a better working world, helping to create long-term value for clients, people and society and build trust in the capital markets. Enabled by data and technology, diverse EY teams in over 150 countries provide trust through assurance and help clients grow, transform and operate. Working across assurance, consulting, law, strategy, tax and transactions, EY teams ask better questions to find new answers for the complex issues facing our world today. Show more Show less

Job Description We have an exciting and rewarding opportunity for you to take your software engineering career to the next level. As a Software Engineer III at JPMorgan Chase within the Consumer & Community Banking, you serve as a seasoned member of an agile team to design and deliver trusted market-leading technology products in a secure, stable, and scalable way. You are responsible for carrying out critical technology solutions across multiple technical areas within various business functions in support of the firm’s business objectives. Job Responsibilities Design and implement highly scalable and reliable data processing pipelines and deploy model inference services. Deploy solutions into public cloud (AWS or Azure) infrastructure. Experiment, develop and productionize high quality machine learning models, services, and platforms to make a huge technology and business impact. Write code to create several machine learning experimentation pipelines. Design and implement feature engineering pipelines and push them to feature stores. Analyze large datasets to extract actionable insights and drive data-driven decision-making. Ensure the scalability and reliability of AI/ML solutions in a production environment. Required Qualifications, Capabilities, And Skills Formal training or certification on software engineering concepts and 3+ years applied experience Proficient in coding in Javascript, ReactJS, HTML and CSS. Proven experience as a front-end developer with a strong focus on ReactJS and Typescript. Technical feasibility of UI/UX designs and optimize applications for maximum speed and scalability Proficiency in programming languages such as Python, Java etc. Full-stack experience API development, including JavaScript frameworks such as React, would be highly valuable Experience in using GenAI (OpenAI or AWS Bedrock) to solve business problem. Experience with large scale training, validation and testing Experience and skills in training and deploying ML models on AWS SageMaker or Bedrock Experience in machine learning frameworks such as TensorFlow, PyTorch, Pytorch Keras, or Scikit-learn. Familiarity with cloud platforms (AWS) and containerization technologies (Docker, Kubernetes, Amazon EKS, ECS). Preferred Qualifications, Capabilities, And Skills Expert in at least one of the following areas: Natural Language Processing, Reinforcement Learning, Ranking and Recommendation, or Time Series Analysis. Knowledge of machine learning frameworks: Pytorch, Keras, MXNet, Scikit-Learn, as well as LLM frameworks, such as LangChain, LangGraph, etc Understanding of finance or investment banking businesses is an added advantage ABOUT US Show more Show less

Job Description: At NxtWave, as a TCD, you will be heading your technical pod and will be responsible for creating and refining industry-relevant content for students. This role involves developing engaging content and materials that enhance learning experiences, ensuring industry relevance, and driving continuous improvement. You’ll collaborate with teams internally and SMEs externally to manage technical content tracks, analyze industry trends, and deliver high-quality outcomes that improve learners' skills and employability. Skills Required Minimum 1-4 years of experience in content development. Strong understanding of neural networks, CNNs, RNNs, LSTMs, GANs, transformers, and other advanced architectures. Expertise in Python and popular Deep Learning frameworks like TensorFlow, PyTorch, and Keras. Hands-on experience building, training, and deploying Deep Learning Models. Experience working with real-world datasets for image recognition, NLP, time series forecasting, and other domains. Knowledge of pre-trained models and transfer learning techniques. Responsibilities Lead a team of Associate technical content developers to ensure timely and high-quality content creation. Develop high-quality, industry-relevant content on Deep Learning concepts, including neural networks, CNNs, RNNs, GANs, transformers, and other advanced topics. Incorporate hands-on projects and real-world datasets to provide practical learning experiences. Understanding of how to develop content to meet various learner needs and styles. Collaborate with Subject Matter Experts (SMEs) to ensure technical accuracy and relevance of the content. Design curriculum outlines, learning objectives, and roadmaps for comprehensive technical programs. Stay updated with the latest industry trends to incorporate cutting-edge topics and technologies into the content. Review and revise content regularly based on learner feedback and emerging educational strategies. Act as a bridge between content development and product teams, driving feature development and design improvements to support immersive and practical learning experiences. Monitor and report on the progress of content development to ensure alignment with organisational goals. Job Overview Location : NxtWave Office Spaces in Hyderabad Job Type : Full-Time Working days : 5 days a week Show more Show less

Job Description Job summary: Financial Institutions routinely use models for a broad range of activities including analyzing business strategies, informing business decisions, identifying and measuring risk, valuing exposures or instruments, hedging derivative positions, conducting stress testing, assessing capital adequacy, managing clients assets, informing investment process, measuring compliance with internal limits, maintaining the formal control apparatus of the bank, meeting financial or regulatory reporting requirements and issuing public disclosures. Model Risk arises from the potential adverse consequences of making decisions based on incorrect or misused model outputs and reports, leading to financial loss, poor business decision making, or reputational damage. As part of the firm’s model risk management function, Model Risk Governance and Review Group (MRGR) is charged with developing model risk policy and control procedures, performing model validation activities, providing guidance on a model’s appropriate usage in the business context, evaluating ongoing model performance testing, and ensuring that model users are aware of the model strengths and limitations. Model manager roles within MRGR provide attractive career paths for model development and model validation quants in a dynamic setting working closely with Model Developers, Model Users, Risk and Finance professionals, where they act as key stakeholders on day-to-day model-related risk management decisions as well as conduct independent model validation of new and existing models. Core Responsibilities The successful candidate will be a member of the MRGR Group in Bengaluru covering all Data Science across all ex-trading applications of artificial intelligence and machine learning models across CIB: Engage in new model validation activities for all Data Science models in the coverage area - evaluate conceptual soundness of model specification; reasonableness of assumptions and reliability of inputs; fit for purpose; completeness of testing performed to support the correctness of the implementation; robustness of numerical aspects; suitability and comprehensiveness of performance metrics and risk measures associated with use of model. Conduct independent testing Perform additional model review activities ranging from proposed enhancements to existing models, extensions to scope of existing models. Liaise with Model Developers, Model Users, Risk and Finance professionals to provide oversight of and guidance on appropriate usage, controls around model restrictions & limitations, and findings for ongoing performance assessment & testing Maintain model risk control apparatus of the bank for the coverage area & serve as first point of contact Keep up with the latest developments in coverage area in terms of products, markets, models, risk management practices and industry standards Essential Skills, Experience, And Qualifications A Ph.D. or Master’s degree in a Data Science oriented field such as Data Science, Computer Science or Statistics, is required. Prior experience in following backgrounds (2-4+ years): Data Science, Quantitative Model Development, Model Validation or Technology focused on Data Science including hands on experience with building/testing machine learning models Strong understanding of Machine Learning / Data Science theory, techniques and tools including Transformers, Large Language Models, NLP, GANs, Deep Learning, OCR, XGBoost, and Reinforcement Learning Understanding of the machine learning lifecycle - feature engineering, training, validation, scaling, deployment, scoring, monitoring, and feedback loop is an asset Proficiency in Python programming. Python machine learning library and ecosystem experience: Numpy Scipy Scikit-learn Theano TensorFlow Keras PyTorch Pandas Excellent writing skills: previous experience in writing scientific text with the ability to describe evidence and present logical reasoning clearly. Strong communication skills and ability to interface with other functional areas in the bank on model-related issues Risk and control mindset: ability to ask incisive questions, converge on critical matters, assess materiality and escalate issues ABOUT US JPMorganChase, one of the oldest financial institutions, offers innovative financial solutions to millions of consumers, small businesses and many of the world’s most prominent corporate, institutional and government clients under the J.P. Morgan and Chase brands. Our history spans over 200 years and today we are a leader in investment banking, consumer and small business banking, commercial banking, financial transaction processing and asset management. We recognize that our people are our strength and the diverse talents they bring to our global workforce are directly linked to our success. We are an equal opportunity employer and place a high value on diversity and inclusion at our company. We do not discriminate on the basis of any protected attribute, including race, religion, color, national origin, gender, sexual orientation, gender identity, gender expression, age, marital or veteran status, pregnancy or disability, or any other basis protected under applicable law. We also make reasonable accommodations for applicants’ and employees’ religious practices and beliefs, as well as mental health or physical disability needs. Visit our FAQs for more information about requesting an accommodation. About The Team Our professionals in our Corporate Functions cover a diverse range of areas from finance and risk to human resources and marketing. Our corporate teams are an essential part of our company, ensuring that we’re setting our businesses, clients, customers and employees up for success. Show more Show less

Job title : Real-World Evidence Data Scientist About The Job Our Team: Sanofi Business Operations is an internal Sanofi resource organization based in India and is setup to centralize processes and activities to support Specialty Care, Vaccines, General Medicines, CHC, CMO, and R&D, Data & Digital functions . Sanofi Business Operations strives to be a strategic and functional partner for tactical deliveries to Medical, HEVA, and Commercial organizations in Sanofi, Globally. Main Responsibilities The overall purpose and main responsibilities are listed below: Provide a high level of expertise in employing cutting-edge analytical & computational approaches to drive evidence-based pharmaceutical product development; provide scientific and technical leadership in machine learning and AI; work closely with other disciplines across Sanofi including Business Units, Digital, R&D, Biostatistics, Information Technology Systems and other Data Science partners to deliver cutting edge analysis to key business questions. Examples of Advanced Analytics activities: (1) Machine/Deep Learning to elucidate disease trajectories, patient subtypes, define underdiagnosed conditions, and unmet health needs; (2) Create a framework for generating re-usable models and insights across big-data (e.g. EHRs, claims) and rich small data sets (e.g. clinical trials, imaging); (3) Generating insights by merging diverse data streams e.g. health, surveillance, trend data, sensor, imaging; (4) Adoption of emerging technology into an analytical framework: distributed analytics, graph databases People: (1) Act as a subject matter expert in machine learning, statistical and/or modelling working on team projects; (2) Work with internal and external study lead to execute Advance Analytics projects and studies. Performance: (1) Implement and execute computational and statistical methodologies in Advanced Analytics for RWE; (2) Provide expertise and execute advanced analytics for solving problems across R&D, Medical Affairs, HEVA and Market Access Strategies and Plans Process: (1) Apply a broad array of capabilities spanning machine learning, statistics, mathematics, modelling, simulation, text-mining/NLP, data-mining to extract insights and be able to communicate and champion these efforts across the company; (2) Plan and deploy methodological standards, standardized processes, demos, and POCs for the company’s highest priority business needs; (3) Contribute to the design, development, and implementation of Sanofi’s data science architecture and ecosystem to guide decision-making and building foundational capabilities About You Experience: Around 10 years’ experience; High level proficiency in at least two or more technical or analytical languages (R, Python, etc..); experience with advanced ML techniques (neural networks/deep learning, reinforcement learning, SVM, PCA, etc.); ability to interact with a variety of large-scale data structures e.g., HDFS, SQL, NoSQL; Experience working across multiple environments (e.g. AWS, GCP, Linux) for optimizing compute and big data handling requirements; Experience with any of the following: biomedical data types/population health data/real world data/novel data streams relevant to the pharmaceutical industry; Experience with big data analytics platforms or high-level ML libraries such as H2O, SageMaker, Databricks, Keras, pyTorch, TensorFlow, Theano, DSSTNE or similar; Ability to prototype analyses and algorithms in high-level languages embracing reproducible and collaborative technology platforms (e.g. GitHub, containers, jupyter notebooks); Exposure to NLP technologies and analyses; Knowledge of some datavis technologies (ggplot2, shiny, plotly, d3, Tableau or Spotfire); Experience with probabilistic and/or functional programming languages such as Stan, Edward, Scala; Experience with advanced ML techniques (RNN, CNN, LSTM, GRU, Genetic Algorithms, Reinforcement Learning, etc.) Real-World Data (RWD): Experience with Real-World Data (RWD), demonstrated proficiency in working with diverse real-world data sources, including but not limited to: MarketScan, CPRD, TriNetX and STATinMED. Education: PhD in quantitative field such as Statistics, Biostatistics, Applied Mathematics or related field with 6 years of industry or academic experience; Relevant Master’s Degree, with 10 years of related industry or academic experience. Soft skills: Strong oral and written communication skills; ability to work and collaborate in a team environment Languages: Excellent knowledge of English language (spoken and written) Pursue progress, discover extraordinary Better is out there. Better medications, better outcomes, better science. But progress doesn’t happen without people – people from different backgrounds, in different locations, doing different roles, all united by one thing: a desire to make miracles happen. So, let’s be those people. At Sanofi, we provide equal opportunities to all regardless of race, colour, ancestry, religion, sex, national origin, sexual orientation, age, citizenship, marital status, disability, or gender identity. Watch our ALL IN video and check out our Diversity Equity and Inclusion actions at sanofi.com! null Show more Show less

Job Description Are you looking for an exciting opportunity to join a dynamic and growing team in a fast paced and challenging area? This is a unique opportunity for you to work in our team to partner with the Business to provide a comprehensive view. As Wholesale Credit Portfolio Analytics Analyst in Wholesale Credit Portfolio Analytics team, you will be responsible for creating valuable risk analytics solutions using advanced analytical frameworks and the firm's big data resources. The focus will be on leveraging data to improve the End-to-End credit risk process across the wholesale portfolio. Additionally, the role involves clearly and concisely communicating findings and insights to stakeholders. As part of Risk Management, you are at the center of keeping JPMorgan Chase strong and resilient. You help the firm grow its business in a responsible way by anticipating new and emerging risks, and using your expert judgement to solve real-world challenges that impact our company, customers and communities. Our culture in Risk Management and Compliance is all about thinking outside the box, challenging the status quo and striving to be best-in-class. Job Responsibilities Develop and maintain credit risk rating methodologies, tools, and frameworks to improve risk management processes, including counterparty rating models, exposure management, and credit approvals. Collaborate with internal model review and controls teams to ensure new methodologies are approved and compliant. Use data science techniques to derive insights and communicate findings. Contribute to generating new ideas to address both ad hoc and strategic projects. Present findings and recommendations to senior management through presentations Required Qualifications, Skills And Capabilities Relevant analytics, model/methodology development or credit risk experience Self-starter with creative problem-solving skills. Ideal candidates have experience in quantitative method development and data analysis and are comfortable discovering and communicating ideas through data. Degree in analytical field preferred (e.g., Data Science, Computer Science, Engineering, Mathematics, Statistics) Experience with modern analytic and data tools, particularly Python/Anaconda and/or R, Tensorflow and/or Keras/PyTorch, Spark, or SQL. Excellent problem solving, communications, and teamwork skills. Financial service background preferred, but not required. Desire to use modern technologies as a disruptive influence within Banking ABOUT US JPMorganChase, one of the oldest financial institutions, offers innovative financial solutions to millions of consumers, small businesses and many of the world’s most prominent corporate, institutional and government clients under the J.P. Morgan and Chase brands. Our history spans over 200 years and today we are a leader in investment banking, consumer and small business banking, commercial banking, financial transaction processing and asset management. We recognize that our people are our strength and the diverse talents they bring to our global workforce are directly linked to our success. We are an equal opportunity employer and place a high value on diversity and inclusion at our company. We do not discriminate on the basis of any protected attribute, including race, religion, color, national origin, gender, sexual orientation, gender identity, gender expression, age, marital or veteran status, pregnancy or disability, or any other basis protected under applicable law. We also make reasonable accommodations for applicants’ and employees’ religious practices and beliefs, as well as mental health or physical disability needs. Visit our FAQs for more information about requesting an accommodation. About The Team J.P. Morgan’s Commercial & Investment Bank is a global leader across banking, markets, securities services and payments. Corporations, governments and institutions throughout the world entrust us with their business in more than 100 countries. The Commercial & Investment Bank provides strategic advice, raises capital, manages risk and extends liquidity in markets around the world. Show more Show less

Job Description Are you looking for an exciting opportunity to solve large scale business problems using Gen AI ? Join our dynamic team to tackle large-scale business challenges using Generative AI. As part of the Wholesale Credit Risk Quantitative Research – Applied AI/ML team, you will develop innovative AI solutions leveraging the firm's extensive data resources. Your focus will be on creating tools based on Large Language Models (LLMs) to enhance the End-to-End credit risk process across Wholesale. This role offers an exciting opportunity to innovate and make a significant impact in the field of credit risk management. If you are passionate about AI and eager to work on cutting-edge solutions, we encourage you to apply. Key Responsibilities Develop and implement AI solutions to address business challenges. Collaborate with cross-functional teams to translate requirements into technical solutions. Formulate risk strategies to enhance risk monitoring using diverse data sources. Manage the full lifecycle from Proof of Concept to production-ready solutions, including stakeholder presentations and post-implementation monitoring. Ensure the performance and reliability of deployed solutions. Stay informed on the latest AI/ML advancements. Lead the development and rapid deployment of AI solutions influenced by macro-economic factors and current events. Requires Qualifications, Skills And Experience Advanced degree in Data Science, Computer Science, Engineering, Mathematics, or Statistics. Minimum of 5 years of experience in applied AI/ML. Strong understanding and practical experience with Machine Learning; expertise in LLM/NLP is highly preferred. Proficiency in modern analytic and data tools, especially Python/Anaconda, TensorFlow, Keras/PyTorch, Spark, and SQL. Cloud experience is a plus. Experience in model implementation and production deployment is preferred. Excellent problem-solving, communication, and About Us JPMorganChase, one of the oldest financial institutions, offers innovative financial solutions to millions of consumers, small businesses and many of the world’s most prominent corporate, institutional and government clients under the J.P. Morgan and Chase brands. Our history spans over 200 years and today we are a leader in investment banking, consumer and small business banking, commercial banking, financial transaction processing and asset management. We offer a competitive total rewards package including base salary determined based on the role, experience, skill set and location. Those in eligible roles may receive commission-based pay and/or discretionary incentive compensation, paid in the form of cash and/or forfeitable equity, awarded in recognition of individual achievements and contributions. We also offer a range of benefits and programs to meet employee needs, based on eligibility. These benefits include comprehensive health care coverage, on-site health and wellness centers, a retirement savings plan, backup childcare, tuition reimbursement, mental health support, financial coaching and more. Additional details about total compensation and benefits will be provided during the hiring process. We recognize that our people are our strength and the diverse talents they bring to our global workforce are directly linked to our success. We are an equal opportunity employer and place a high value on diversity and inclusion at our company. We do not discriminate on the basis of any protected attribute, including race, religion, color, national origin, gender, sexual orientation, gender identity, gender expression, age, marital or veteran status, pregnancy or disability, or any other basis protected under applicable law. We also make reasonable accommodations for applicants’ and employees’ religious practices and beliefs, as well as mental health or physical disability needs. Visit our FAQs for more information about requesting an accommodation. JPMorgan Chase & Co. is an Equal Opportunity Employer, including Disability/Veterans About The Team J.P. Morgan’s Commercial & Investment Bank is a global leader across banking, markets, securities services and payments. Corporations, governments and institutions throughout the world entrust us with their business in more than 100 countries. The Commercial & Investment Bank provides strategic advice, raises capital, manages risk and extends liquidity in markets around the world. Show more Show less

Job Title: L3 SDE (AI/ML) Location: Arjan Garh, MG Road (Delhi) Job Type: Full-Time, On site Salary: RS.30,000- 70,000 No. of Openings: 10 ***IMMEDIATE JOINERS REQUIRED*** About Us : Timble is a forward-thinking organization dedicated to leveraging cutting-edge technology to solve real-world problems. Our mission is to drive innovation and create impactful solutions through artificial intelligence and machine learning. Key Responsibilities: • Model Development: Design, develop, and deploy machine learning models and AI solutions to address complex business problems. • Data Analysis: Work with large datasets to clean, preprocess, and analyze data, ensuring high data quality and relevance. • Algorithm Optimization: Implement and refine algorithms to improve the performance and accuracy of AI models. • Collaboration: Collaborate with cross-functional teams, including data scientists, software engineers, and product managers, to integrate AI solutions into existing systems and workflows. • Research: Stay up-to-date with the latest advancements in AI and machine learning, and apply new techniques and methodologies to enhance our AI capabilities. • Performance Monitoring: Monitor the performance of AI systems, troubleshoot issues, and make necessary adjustments to maintain optimal functionality. • Documentation: Create and maintain comprehensive documentation for AI models, including design specifications, training processes, and deployment strategies. Required Qualifications and Experience: • Education: B.tech or M.tech or MCA or Bachelor’s or master's degree in Artificial intelligence, computer science or Data Analyst or related fields. • Experience: 2 year of AI/ML development, with a proven track record of deploying AI solutions in a production environment. **IMMEDIATE JOINERS REQUIRED** Technical Skills requirement: Must have proficiency in programming languages such as Python, Machine Learning, Deep Learning Experience with AI/ML frameworks and libraries (e.g., TensorFlow, PyTorch, Scikit-learn, Keras). Strong knowledge of machine learning algorithms, neural networks, and natural language processing (NLP). Experience in integrating AI based solutions with web frameworks like Django, Flask. Problem-Solving: Excellent analytical and problem-solving skills, with the ability to work independently and as part of a team. Communication: Strong verbal and written communication skills, with the ability to explain complex technical concepts to non-technical stakeholders. Project Management: Ability to manage multiple projects simultaneously and meet deadlines in a fast-paced environment. How to Apply: Drop your resume at hr@timbletech.com with Current Notice , Current CTC , Expected CTC Show more Show less

Immediate joiners are preferable Responsibilities Design, develop and maintain Python applications with a focus on clean, efficient, and well-tested code. Build and consume RESTful or GraphQL APIs following best practices. Containerize microservices using Docker and collaborate on Kubernetes deployments. Implement and monitor background tasks with Celery, including retry strategies and alerting. Integrate third-party services via webhooks (e.g., Stripe, Razorpay). Set up WebSocket consumers using Django Channels to power real-time features. Configure AWS infrastructure as code (EC2, S3, RDS), manage backups and monitoring through CloudWatch. Write unit and integration tests (pytest or unittest) to achieve and maintain ≥ 80% coverage. Follow Git branching strategies and contribute to CI/CD pipeline definitions. Participate in daily tech-talks, knowledge-sharing sessions, and code reviews. Required Qualifications Bachelor’s degree in Computer Science or a related field. 2–3 years of professional experience working primarily in Python. Strong proficiency with Python standard library and common packages (e.g., NumPy). Solid experience designing and consuming RESTful/GraphQL APIs. Hands-on experience with Docker and at least one cloud platform (AWS or Azure). Proven track record of writing tests with pytest or unittest frameworks. Familiarity with Git workflows and CI/CD best practices. Excellent problem-solving skills and clear communication. Preferred (But Not Required) Experience with AI/ML frameworks such as TensorFlow, Keras or PyTorch. Prior work with the Django web framework. Understanding of machine learning concepts (neural networks, computer vision, reinforcement learning). Background in data analysis, statistics, or applied mathematics. Exposure to Celery task queues and real-time application patterns. Contributions to open-source Python or AI projects. What We Offer Competitive salary and benefits package. Opportunity to work on innovative AI and web-development initiatives. A collaborative culture that values continuous learning and skill growth. Show more Show less

Optum is a global organization that delivers care, aided by technology to help millions of people live healthier lives. The work you do with our team will directly improve health outcomes by connecting people with the care, pharmacy benefits, data and resources they need to feel their best. Here, you will find a culture guided by inclusion, talented peers, comprehensive benefits and career development opportunities. Come make an impact on the communities we serve as you help us advance health optimization on a global scale. Join us to start Caring. Connecting. Growing together. We are seeking a dynamic and skilled Lead AIML Engineer who is passionate about solving real world problems in the healthcare domain using cutting edge capabilities and emerging technologies. As a Lead AI/ML Engineer, the candidate will be responsible for developing AI business case, solution design and collaborating with other senior leaders, stakeholders, and customers to ensure alignment, integration of AI/ML capabilities with mentoring and leading the Data Science resources for contact analytics area. The Ideal Candidate will follow advancements in the state-of-the-art methods that are relevant to the particular use case and provide recommendations for model development and experimentation. Primary Responsibilities: Lead Artificial Intelligence (AI) Engineer Design innovative AI solutions to various business problems, utilizing cutting-edge AI technologies like Generative AI, Large Language Models, RAG, Reinforcement learning, Agentic AI Communicating analytics model behavior/results to Stakeholders Carrying out technical risk analysis and reliability assessments Mentor, Guide the team of scientists, data analysts, and business stakeholders to design and deploy AI solutions Develop and demonstrate AI use-cases, conducting workshops and training sessions to foster AI adoption Take a leadership role in the data science community of experts Evaluate and implement best practices in AI/ML, data mining, and analytics Document architecture roadmaps, reference architectures, and standard operating procedures for AI solutions Comply with the terms and conditions of the employment contract, company policies and procedures, and any and all directives (such as, but not limited to, transfer and/or re-assignment to different work locations, change in teams and/or work shifts, policies in regards to flexibility of work benefits and/or work environment, alternative work arrangements, and other decisions that may arise due to the changing business environment). The Company may adopt, vary or rescind these policies and directives in its absolute discretion and without any limitation (implied or otherwise) on its ability to do so Required Qualifications Master’s degree in computer science, Computer Engineering, Data Science, Information Technology, or related field 10+ years of work experience with at least one of the following languages: Python, Java, and R 5+ years of experience in high-level architecture design and solution development for large-scale AI/ML systems Extensive experience with deep learning frameworks (e.g., TensorFlow, Keras, PyTorch), time series analysis, predictive modeling, and NLP Experience and knowledge of Large Language Models, RAG, Transformers Comprehensive knowledge of modern data science and product/web analytics tools and tehcniques including python and associated data science ecosystem, machine learning, Azure Machine Learning etc. Broad knowledge and understanding of advanced statistical, machine learning, and/or data mining techniques Knowledge of both traditional machine learning algorithms and modern deep learning and generative AI models and methods Knowledge of both traditional machine learning algorithms and modern deep learning and generative AI models and methods Knowledge of high-performance AI computing platforms, Linux, and shell scripting in AI computing environments Knowledge of Cloud platform supporting AI Implementation like Azure ML Studio Proficiency in Python for AI/ML; experience with graph databases, neural networks, and MLOps Proven track record in industry use cases utilizing deep and machine learning techniques Demonstrated ability to develop and manage complex projects, leading an interdisciplinary team to achieve project goals Demonstrated ability to provide mentorship and guidance for the efficient and technical development of the members of your team Demonstrated ability to develop and manage complex projects, leading an interdisciplinary team to achieve project goals Demonstrated ability to provide mentorship and guidance for the efficient and technical development of the members of your team Proven expertise in predictive analytics, machine learning, deep learning architecture, Large Language Models, RAG, and text analytics with NLP Proven exceptional communication skills to articulate technical solutions to both technical and non-technical audiences Proven strategic thinking in systems capacity planning, hardware and software updates, and migration At UnitedHealth Group, our mission is to help people live healthier lives and make the health system work better for everyone. We believe everyone-of every race, gender, sexuality, age, location and income-deserves the opportunity to live their healthiest life. Today, however, there are still far too many barriers to good health which are disproportionately experienced by people of color, historically marginalized groups and those with lower incomes. We are committed to mitigating our impact on the environment and enabling and delivering equitable care that addresses health disparities and improves health outcomes — an enterprise priority reflected in our mission. Show more Show less

Job Overview We are looking for an experienced Computer Vision Engineer with expertise in image processing, machine learning, and deep learning. The ideal candidate should have hands-on experience developing and deploying computer vision algorithms and deep learning models using Python, OpenCV, and YOLO, along with proficiency in CUDA and NumPy. This role involves research, model optimization, and real-world deployment of cutting-edge computer vision Responsibilities : Develop and deploy computer vision algorithms and deep learning models for diverse applications. Design and implement computer vision models using state-of-the-art techniques and frameworks. Explore and analyze unstructured data like images through image processing techniques. Analyze, evaluate, and optimize existing computer vision systems for improved performance and accuracy. Test and validate computer vision code and models, ensuring robustness and reliability. Research and implement new computer vision technologies to stay at the forefront of the field. Collaborate with cross-functional teams to develop innovative solutions meeting project requirements. Monitor the performance and accuracy of deployed computer vision models, making necessary adjustments. Maintain and update computer vision systems to ensure their continued functionality and relevance. Provide technical support and guidance to team members and customers using computer vision : 5 years of experience as a Computer Vision Engineer. Bachelor's degree in Computer Science or a related field. Proven experience in developing and deploying computer vision systems. Strong knowledge of computer vision algorithms, libraries, and tools such as: OpenCV, TensorFlow, PyTorch, Keras, NumPy, scikit-image, Matplotlib, Seaborn, YOLO, etc. Familiarity with GPU acceleration and optimization tools like CUDA, OpenCL, OpenGL. Expertise in computer vision applications, including : Object detection, image classification, text detection & OCR, face detection, generative models, video analytics, object tracking, and model Experience with runtime AI frameworks such as ONNX, TensorRT, OpenVINO. Hands-on experience with cloud platforms (AWS, Azure), Docker, Kubernetes, and GitHub. Experience in training models using GPU computing or cloud-based environments. Familiarity with machine learning and deep learning concepts and frameworks. Strong problem-solving and analytical skills. Ability to work independently in a fast-paced environment and collaborate effectively in a Qualifications : Experience in real-time video processing and streaming analytics. Knowledge of Edge AI and deployment on embedded systems. Exposure to 3D vision, SLAM, and depth estimation. Contributions to open-source computer vision projects. (ref:hirist.tech) Show more Show less