4224 Pytorch Jobs - Page 47

Working with Us Challenging. Meaningful. Life-changing. Those aren't words that are usually associated with a job. But working at Bristol Myers Squibb is anything but usual. Here, uniquely interesting work happens every day, in every department. From optimizing a production line to the latest breakthroughs in cell therapy, this is work that transforms the lives of patients, and the careers of those who do it. You'll get the chance to grow and thrive through opportunities uncommon in scale and scope, alongside high-achieving teams. Take your career farther than you thought possible. Bristol Myers Squibb recognizes the importance of balance and flexibility in our work environment. We offer a wide variety of competitive benefits, services and programs that provide our employees with the resources to pursue their goals, both at work and in their personal lives. Read more careers.bms.com/working-with-us . Job Description At Bristol Myers Squibb, we are inspired by a single vision - transforming patients' lives through science. In oncology, hematology, immunology and cardiovascular disease - and one of the most diverse and promising pipelines in the industry - each of our passionate colleagues contribute to innovations that drive meaningful change. We bring a human touch to every treatment we pioneer. Join us and make a difference. Data Scientists will work with senior DS leaders to extract insight from complex clinical, translational and real-world data. They will have the opportunity to work on complex data science problems including modeling techniques to interpret, infer and recommend based on insights from data. Roles And Responsibilities Formulates, implements, tests, and validates predictive models and implements efficient automated processes for producing modeling results at scale. Creates robust models based on statistical and data mining techniques to provide insights and recommendations based on large complex data sets. Presents stories told by data in a visually appealing and easy to understand manner. Responsible for collaborating with cross functional teams, including but not limited to, clinicians, data scientist, translational medicine scientist, statisticians, and IT professionals. Proactively builds partnerships with specialist functions and global counterparts to maximize knowledge and available resources. Requirements Ph.D. in quantitative sciences (computer science, math, statistics and engineering) +2 years experience in healthcare or pharmaceutical is preferred but not required Strong knowledge of programing languages, with a focus on machine learning (R, Python, Sagemaker, Tensorflow). Ability to summarize technically/analytically complex information for a non-technical audience Demonstrated ability to work in a team environment with good interpersonal, communication, writing and organizational skills. Outstanding technical and analytic skills, proficient at understanding and conceptualizing business problems and implementing analytic or decision support solutions Experience in working with popular deep learning and transformer frameworks. Ability to code in Tensorflow or Pytorch Experience in fine tuning LLM, developing RAGs systems, training SLM Expertise in supervised and unsupervised machine learning algorithms Experience in working with clinical and translational data (omics, flow cytometry and images) Around the world, we are passionate about making an impact on the lives of patients with serious diseases. Empowered to apply our individual talents and diverse perspectives in an inclusive culture, our shared values of passion, innovation, urgency, accountability, inclusion and integrity bring out the highest potential of each of our colleagues. Bristol Myers Squibb recognizes the importance of balance and flexibility in our work environment. We offer a wide variety of competitive benefits, services and programs that provide our employees with the resources to pursue their goals, both at work and in their personal lives. Physical presence at the BMS worksite or physical presence in the field is an essential job function of this role which the Company deems critical to collaboration, innovation, productivity, employee well-being and engagement, and enhances the Company culture. To protect the safety of our workforce, customers, patients and communities, the policy of the Company requires all employees and workers in the U.S. and Puerto Rico to be fully vaccinated against COVID-19, unless they have received an exception based on an approved request for a medical or religious reasonable accommodation. Therefore, all BMS applicants seeking a role located in the U.S. and Puerto Rico must confirm that they have already received or are willing to receive the full COVID-19 vaccination by their start date as a qualification of the role and condition of employment. This requirement is subject to state and local law restrictions and may not be applicable to employees working in certain jurisdictions such as Montana. This requirement is also subject to discussions with collective bargaining representatives in the U.S. Our company is committed to ensuring that people with disabilities can excel through a transparent recruitment process, reasonable workplace adjustments and ongoing support in their roles. Applicants can request an approval of accommodation prior to accepting a job offer. If you require reasonable accommodation in completing this application or if you are applying to a role based in the U.S. or Puerto Rico and you believe that you are unable to receive a COVID-19 vaccine due to a medical condition or sincerely held religious belief, during or any part of the recruitment process, please direct your inquiries to adastaffingsupport@bms.com . Visit careers.bms.com/eeo-accessibility to access our complete Equal Employment Opportunity statement. Any data processed in connection with role applications will be treated in accordance with applicable data privacy policies and regulations. If you come across a role that intrigues you but doesn't perfectly line up with your resume, we encourage you to apply anyway. You could be one step away from work that will transform your life and career. Uniquely Interesting Work, Life-changing Careers With a single vision as inspiring as Transforming patients' lives through science™ , every BMS employee plays an integral role in work that goes far beyond ordinary. Each of us is empowered to apply our individual talents and unique perspectives in a supportive culture, promoting global participation in clinical trials, while our shared values of passion, innovation, urgency, accountability, inclusion and integrity bring out the highest potential of each of our colleagues. On-site Protocol BMS has an occupancy structure that determines where an employee is required to conduct their work. This structure includes site-essential, site-by-design, field-based and remote-by-design jobs. The occupancy type that you are assigned is determined by the nature and responsibilities of your role Site-essential roles require 100% of shifts onsite at your assigned facility. Site-by-design roles may be eligible for a hybrid work model with at least 50% onsite at your assigned facility. For these roles, onsite presence is considered an essential job function and is critical to collaboration, innovation, productivity, and a positive Company culture. For field-based and remote-by-design roles the ability to physically travel to visit customers, patients or business partners and to attend meetings on behalf of BMS as directed is an essential job function. BMS is dedicated to ensuring that people with disabilities can excel through a transparent recruitment process, reasonable workplace accommodations/adjustments and ongoing support in their roles. Applicants can request a reasonable workplace accommodation/adjustment prior to accepting a job offer. If you require reasonable accommodations/adjustments in completing this application, or in any part of the recruitment process, direct your inquiries to adastaffingsupport@bms.com . Visit careers.bms.com/ eeo -accessibility to access our complete Equal Employment Opportunity statement. BMS cares about your well-being and the well-being of our staff, customers, patients, and communities. As a result, the Company strongly recommends that all employees be fully vaccinated for Covid-19 and keep up to date with Covid-19 boosters. BMS will consider for employment qualified applicants with arrest and conviction records, pursuant to applicable laws in your area. If you live in or expect to work from Los Angeles County if hired for this position, please visit this page for important additional information https //careers.bms.com/california-residents/ Any data processed in connection with role applications will be treated in accordance with applicable data privacy policies and regulations. 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Hi, Hope you are doing great!!! Rockline Tech Champ Ind Private Limited is a leading IT consulting and technology solutions provider for global mid-to-large enterprises. The company offers a dynamic, innovation-driven environment and is looking for experienced professionals who thrive on challenges and aim to make a real impact in a fast-paced, quality-focused team. Req: AI OPS Engineer Location: Pune and Bangalore - Hybrid at office Experience: 5yrs -8yrs Skill Set: CI/CD pipelines orchestration by Airflow, Azure Devops "Designing and implementing cloud solutions, build MLOps on cloud (AWS, Azure) , Data Science , Python, Bash, Pytorch, TensorFlow, KubeFlow, MLFlow, Docker, Kubernetes, Openshift, Git Hub Mode: Contract to Hire - (Initially 6-8 months Rockline Tech Champ Ind Private Limited payroll after that you will be Perm with client) ****************** Need resource who can join in Immediately/ 15 days****************** ****************** PF Cut mandatory 3600rs****************** Kindly share below details. 1) Pan card No: 2) DOB: 3) First name: 4) Last name: 5) Contact number: 6) Emergency contact number(relationship): 7) Current CTC: 8) Expected CTC: 9) Notice Period: 10) Current location: 11) Preferred location: 12) Total /Rel experience(in Years): 13) Relevant Experience (in years): 14) Can Join (Client looking who can join Immediate/ 15 Days): 15) Pls mention reason for interested Contract to Hire role: 16) Current Company (If any payroll: Pls mention): 17) PF cut mandatory: Pls share UAN number

Our Company We’re Hitachi Digital, a company at the forefront of digital transformation and the fastest growing division of Hitachi Group. We’re crucial to the company’s strategy and ambition to become a premier global player in the massive and fast-moving digital transformation market. Our group companies, including GlobalLogic, Hitachi Digital Services, Hitachi Vantara and more, offer comprehensive services that span the entire digital lifecycle, from initial idea to full-scale operation and the infrastructure to run it on. Hitachi Digital represents One Hitachi, integrating domain knowledge and digital capabilities, and harnessing the power of the entire portfolio of services, technologies, and partnerships, to accelerate synergy creation and make real-world impact for our customers and society as a whole. Imagine the sheer breadth of talent it takes to unleash a digital future. We don’t expect you to ‘fit’ every requirement – your life experience, character, perspective, and passion for achieving great things in the world are equally as important to us. The team Hitachi Digital is a leader in digital transformation, leveraging advanced AI technologies to drive innovation and efficiency across various operational companies (OpCos) and departments. We are currently seeking an expert Lead AI Engineer to spearhead our new AI initiatives and enhance our existing Agentic AI capabilities, while also building new AI products and refining current models to meet the evolving needs of our business. The role In this role you will lead the design, development, and implementation of AI models and algorithms using Agentic AI and Agent Workspace for Google Gemini and EMa.AI. You will drive new AI initiatives across different OpCos and departments, ensuring seamless integration and functionality and enhance and refine existing Agentic AI capabilities to improve performance and scalability. You will collaborate with cross-functional teams to integrate AI solutions into existing systems and workflows, conduct research and stay updated on the latest advancements in AI technologies and methodologies. Additional tasks in the role include optimization of AI models for performance, scalability, and accuracy, as well as troubleshooting and resolving complex issues related to AI systems and applications. You will also document AI development processes, methodologies, and best practices, mentor junior developers and participate in code reviews, providing constructive feedback to team members. Provide strategic direction and leadership in AI technology adoption and innovation. What You’ll Bring Bachelor's or Master's degree in Computer Science, Artificial Intelligence, Machine Learning, or a related field; PhD preferred. 10+ years of experience in AI model development, with a focus on Agentic AI and Agent Workspace for Google Gemini and EMa.AI. Strong programming skills in languages such as Python, Java, or C++. Primary experience with Google Cloud Platform (GCP); experience with AWS and Azure is a plus. Experience with GPU-based AI model development is a plus. Extensive experience with Generative AI (GenAI) and Large Language Models (LLMs) is required. Experience with AI frameworks and libraries such as TensorFlow, PyTorch, or similar. Knowledge of machine learning algorithms, neural networks, and natural language processing. Excellent problem-solving skills and the ability to work independently and as part of a team. Strong communication skills and the ability to convey complex technical concepts to non-technical stakeholders. Proven leadership skills and experience in guiding AI projects from conception to deployment. Preferred Qualifications: Familiarity with data science tools and techniques. Previous experience in a similar role within a tech-driven company. About Us We’re a global, 1000-strong, diverse team of professional experts, promoting and delivering Social Innovation through our One Hitachi initiative (OT x IT x Product) and working on projects that have a real-world impact. We’re curious, passionate and empowered, blending our legacy of 110 years of innovation with our shaping our future. Here you’re not just another employee; you’re part of a tradition of excellence and a community working towards creating a digital future. Championing diversity, equity, and inclusion Diversity, equity, and inclusion (DEI) are integral to our culture and identity. Diverse thinking, a commitment to allyship, and a culture of empowerment help us achieve powerful results. We want you to be you, with all the ideas, lived experience, and fresh perspective that brings. We support your uniqueness and encourage people from all backgrounds to apply and realize their full potential as part of our team. How We Look After You We help take care of your today and tomorrow with industry-leading benefits, support, and services that look after your holistic health and wellbeing. We’re also champions of life balance and offer flexible arrangements that work for you (role and location dependent). We’re always looking for new ways of working that bring out our best, which leads to unexpected ideas. So here, you’ll experience a sense of belonging, and discover autonomy, freedom, and ownership as you work alongside talented people you enjoy sharing knowledge with. We’re proud to say we’re an equal opportunity employer and welcome all applicants for employment without attention to race, colour, religion, sex, sexual orientation, gender identity, national origin, veteran, age, disability status or any other protected characteristic. Should you need reasonable accommodations during the recruitment process, please let us know so that we can do our best to set you up for success. Show more Show less

Job Title: Product/Application Architect Summary We are seeking a hands-on Product/Application Architect with a proven track record in building enterprise-scale, full-stack applications and AI/ML-powered solutions. The ideal candidate is a strong technical leader who excels in system architecture, cross-functional collaboration, and mentoring engineering teams. You will own architectural decisions across product lines, ensure scalable and maintainable system design, and drive the integration of AI/ML into modern digital platforms. This role demands a combination of deep technical expertise, proactive leadership, and effective communication. Key Responsibilities Architecture & Solution Design Architect robust, scalable, and secure enterprise applications across frontend, backend, and cloud layers. Design and guide the integration of AI/ML models into product workflows, ensuring performance, maintainability, and observability. Define and enforce architectural standards, reusable patterns, and best practices across teams. Technical Leadership Provide hands-on technical direction throughout the software development lifecycle. Review designs and code to uphold architectural integrity and code quality. Introduce and drive adoption of new tools, technologies, and frameworks. Collaboration & Mentorship Translate business needs into high-impact technical solutions through close collaboration with product, design, and data teams. Mentor engineers, provide architectural guidance, and elevate team capabilities. Communicate architectural decisions clearly to both technical and non-technical audiences. Delivery & Execution Support agile development practices, CI/CD pipelines, and DevOps processes. Anticipate and resolve architectural challenges to ensure delivery speed and quality. Continuously evaluate system performance and make improvement recommendations. Required Qualifications Bachelors or Masters in Computer Science or related field. 10+ years in software engineering, with 3+ years in an architecture or technical leadership role. Experience building full-stack applications using technologies like React, Angular, Node.js, Python, Java, or Golang. Strong background in cloud-native development (AWS or GCP), microservices, and containerization (Docker, Kubernetes). Practical experience designing and deploying AI/ML features using frameworks such as TensorFlow, PyTorch, or Scikit-learn. Deep understanding of system design, API architecture, scalability, and performance optimization. Strong communicator with the ability to influence technical and business stakeholders. Proven experience mentoring teams and fostering engineering excellence.

Location: In-Person (sftwtrs.ai Lab) Experience Level: Early Career / 1–3 years About sftwtrs.ai sftwtrs.ai is a leading AI lab focused on security automation, adversarial machine learning, and scalable AI-driven solutions for enterprise clients. Under the guidance of our Principal Scientist, we combine cutting-edge research with production-grade development to deliver next-generation AI products in cybersecurity and related domains. Role Overview As a Research Engineer I , you will work closely with our Principal Scientist and Senior Research Engineers to ideate, prototype, and implement AI/ML models and pipelines. This role bridges research and software development: you’ll both explore novel algorithms (especially in adversarial ML and security automation) and translate successful prototypes into robust, maintainable code. This position is ideal for someone who is passionate about pushing the boundaries of AI research while also possessing strong software engineering skills. Key Responsibilities Research & Prototyping Dive into state-of-the-art AI/ML literature (particularly adversarial methods, anomaly detection, and automation in security contexts). Rapidly prototype novel model architectures, training schemes, and evaluation pipelines. Design experiments, run benchmarks, and analyze results to validate research hypotheses. Software Development & Integration Collaborate with DevOps and MLOps teams to containerize research prototypes (e.g., Docker, Kubernetes). Develop and maintain production-quality codebases in Python (TensorFlow, PyTorch, scikit-learn, etc.). Implement data pipelines for training and inference: data ingestion, preprocessing, feature extraction, and serving. Collaboration & Documentation Work closely with Principal Scientist and cross-functional stakeholders (DevOps, Security Analysts, QA) to align on research objectives and engineering requirements. Author clear, concise documentation: experiment summaries, model design notes, code review comments, and API specifications. Participate in regular code reviews, design discussions, and sprint planning sessions. Model Deployment & Monitoring Assist in deploying models to staging or production environments; integrate with internal tooling (e.g., MLflow, Kubeflow, or custom MLOps stack). Implement automated model-monitoring scripts to track performance drift, data quality, and security compliance metrics. Troubleshoot deployment issues, optimize inference pipelines for latency and throughput. Continuous Learning & Contribution Stay current with AI/ML trends—present findings to the team and propose opportunities for new research directions. Contribute to open-source libraries or internal frameworks as needed (e.g., adding new modules to our adversarial-ML toolkit). Mentor interns or junior engineers on machine learning best practices and coding standards. Qualifications Education: Bachelor’s or Master’s degree in Computer Science, Electrical Engineering, Data Science, or a closely related field. Research Experience: 1–3 years of hands-on experience in AI/ML research or equivalent internships. Familiarity with adversarial machine learning concepts (evasion attacks, poisoning attacks, adversarial training). Exposure to security-related ML tasks (e.g., anomaly detection in logs, malware classification using neural networks) is a strong plus. Development Skills: Proficient in Python, with solid experience using at least one major deep-learning framework (TensorFlow 2.x, PyTorch). Demonstrated ability to write clean, modular, and well-documented code (PEP 8 compliant). Experience building data pipelines (using pandas, Apache Beam, or equivalent) and integrating with RESTful APIs. Software Engineering Practices: Familiarity with version control (Git), CI/CD pipelines, and containerization (Docker). Comfortable writing unit tests (pytest or unittest) and conducting code reviews. Understanding of cloud services (AWS, GCP, or Azure) for training and serving models. Analytical & Collaborative Skills: Strong problem-solving mindset, attention to detail, and ability to work under tight deadlines. Excellent written and verbal communication skills; able to present technical concepts clearly to both research and engineering audiences. Demonstrated ability to collaborate effectively in a small, agile team. Preferred Skills (Not Mandatory) Experience with MLOps tools (MLflow, Kubeflow, or TensorFlow Extended). Hands-on knowledge of graph databases (e.g., JanusGraph, Neo4j) or NLP techniques (transformer models, embeddings). Familiarity with security compliance standards (HIPAA, GDPR) and secure software development practices. Exposure to Rust or Go for high-performance inference code. Contributions to open-source AI or security automation projects. Why Join Us? Cutting-Edge Research & Production Impact: Work on adversarial ML and security–automation projects that go from concept to real-world deployment. Hands-On Mentorship: Collaborate directly with our Principal Scientist and Senior Engineers, learning best practices in both research methodology and production engineering. Innovative Environment: Join a lean, highly specialized team where your contributions are immediately visible and valued. Professional Growth: Access to conferences, lab resources, and continuous learning opportunities in AI, cybersecurity, and software development. Competitive Compensation & Benefits: Attractive salary, health insurance, and opportunities for performance-based bonuses. How to Apply Please send a résumé/CV, a brief cover letter outlining relevant AI/ML projects, and any GitHub or portfolio links to careers@sftwtrs.ai with the subject line “RE: Research Engineer I Application.” sftwtrs.ai is an equal-opportunity employer. We celebrate diversity and are committed to creating an inclusive environment for all employees. Show more Show less

We are seeking a visionary Generative AI Architect with strong hands-on experience to lead the design and deployment of intelligent solutions leveraging Large Language Models (LLMs), agentic frameworks, and advanced NLP techniques. This role emphasizes deep expertise in LangChain, LangGraph, agentic workflows to build scalable, enterprise-grade generative AI systems across insurance, healthcare, and financial services. Key Responsibilities: Architect modular GenAI solutions using LLMs (e.g., GPT, Claude, LLaMA, Mistral) with a focus on LangChain , LangGraph and RAG. Design and implement agent-based systems capable of reasoning, tool use, API integration, and memory management using LangChain agents and LangGraph-based workflows. Design robust, cloud-native AI platforms capable of handling large-scale data pipelines and complex machine learning models (AWS/Azure/GCP) Develop and prototype intelligent assistants, document automation systems, and NLP tools. Build robust RAG architectures with vector databases (e.g., FAISS, Pinecone) and embedding models for domain-specific search and document intelligence. Translate complex business problems into generative AI use cases in areas such as underwriting automation, claims triage, policy analysis, and customer support. Collaborate with cross-functional teams including data scientists, engineers, and domain SMEs to drive successful AI solution delivery. Continuously evaluate and benchmark LLMs, agent orchestration tools, and GenAI platforms (e.g., OpenAI, Hugging Face, LlamaIndex). Optimize performance and scalability for LLM-based systems deployed in production, ensuring low latency, secure data handling, and ethical AI compliance. Evangelize GenAI innovations internally and with clients via PoCs, demos, and technical workshops. Good to Have: Develop structured AI pipelines using the MCP framework to clearly define model invocation logic (Model), contextual understanding and memory (Context), and input/output protocols (Protocol) for repeatable, enterprise-scale use cases Qualifications: 7 + years of experience in AI/ML, including 3+ years specializing in NLP and Generative AI. Proven hands-on expertise with LLMs such as GPT, Claude, LLaMA, Mistral, and BERT, including both open-source and commercial APIs (e.g., OpenAI, Anthropic). Deep understanding of LLM architecture and operations, including prompt engineering, function calling, tool use, memory management, context handling, and token optimization. Strong experience building Retrieval-Augmented Generation (RAG) pipelines using vector databases (e.g., FAISS, Pinecone, Weaviate) and embedding models. Proficient with GenAI frameworks including LangChain, LangGraph, and LlamaIndex, with a solid grasp of agent orchestration and workflow design. Advanced programming skills in Python, with hands-on experience using PyTorch, Transformers, and the broader Hugging Face ecosystem. Demonstrated ability to design, prototype, and deploy enterprise-ready AI solutions in production environments. Show more Show less

Job Description Job Description: We are seeking a highly motivated and enthusiastic Senior Data Scientist with 5- 8 years of experience to join our dynamic team. The ideal candidate will have a strong background in AI/ML analytics and a passion for leveraging data to drive business insights and innovation. Key Responsibilities Develop and implement machine learning models and algorithms. Work closely with project stakeholders to understand requirements and translate them into deliverables. Utilize statistical and machine learning techniques to analyze and interpret complex data sets. Stay updated with the latest advancements in AI/ML technologies and methodologies. Collaborate with cross-functional teams to support various AI/ML initiatives. Qualifications Bachelor’s degree in Computer Science, Data Science, or a related field. Strong understanding of machine learning , deep learning and Generative AI concepts. Preferred Skills Experience in machine learning techniques such as Regression, Classification, Predictive modeling, Clustering, Deep Learning stack using python Experience with cloud infrastructure for AI/ ML on AWS(Sagemaker, Quicksight,Athena, Glue). Expertise in building enterprise grade, secure data ingestion pipelines for unstructured data(ETL/ELT) – including indexing, search, and advance retrieval patterns. Proficiency in Python, TypeScript, NodeJS, ReactJS (and equivalent) and frameworks. (e.g., pandas, NumPy, scikit-learn, SKLearn, OpenCV, SciPy), Glue crawler, ETL Experience with data visualization tools (e.g., Matplotlib, Seaborn, Quicksight). Knowledge of deep learning frameworks (e.g., TensorFlow, Keras, PyTorch). Experience with version control systems (e.g., Git, CodeCommit). Strong knowledge and experience in Generative AI/ LLM based development. Strong experience working with key LLM models APIs (e.g. AWS Bedrock, Azure Open AI/ OpenAI) and LLM Frameworks (e.g. LangChain, LlamaIndex). Knowledge of effective text chunking techniques for optimal processing and indexing of large documents or datasets. Proficiency in generating and working with text embeddings with understanding of embedding spaces and their applications in semantic search and information. retrieval. Experience with RAG concepts and fundamentals (VectorDBs, AWS OpenSearch, semantic search, etc.), Expertise in implementing RAG systems that combine knowledge bases with Generative AI models. Knowledge of training and fine-tuning Foundation Models (Athropic, Claud , Mistral, etc.), including multimodal inputs and outputs. Good To Have Skills Knowledge and Experience in building knowledge graphs in production. Understanding of multi-agent systems and their applications in complex problem-solving scenarios. Equal Opportunity Employer Pentair is an Equal Opportunity Employer. With our expanding global presence, cross-cultural insight and competence are essential for our ongoing success. We believe that a diverse workforce contributes different perspectives and creative ideas that enable us to continue to improve every day. Show more Show less

Capgemini Invent Capgemini Invent is the digital innovation, consulting and transformation brand of the Capgemini Group, a global business line that combines market leading expertise in strategy, technology, data science and creative design, to help CxOs envision and build whats next for their businesses. Your role Predictive and Prescriptive modelling using Statistical and Machine Learning algorithms including but not limited to Time Series, Regression, Trees, Ensembles, Neural-Nets (Deep & Shallow CNN, LSTM, Transformers etc.). Experience with open-source OCR engines like Tesseract, Speech recognition, Computer Vision, face recognition, emotion detection etc. is a plus. Unsupervised learning Market Basket Analysis, Collaborative Filtering, Dimensionality Reduction, good understanding of common matrix decomposition approaches like SVD. Various Clustering approaches Hierarchical, Centroid-based, Density-based, Distribution-based, Graph-based clustering like Spectral. NLP Information Extraction, Similarity Matching, Sentiment Analysis, Text Clustering, Semantic Analysis, Document Summarization, Context Mapping/Understanding, Intent Classification, Word Embeddings, Vector Space Models, experience with libraries like NLTK, Spacy, Stanford Core-NLP is a plus. Usage of Transformers for NLP and experience with LLMs like (ChatGPT, Llama) and usage of RAGs (vector stores like LangChain & LangGraps), building Agentic AI applications. Graph Analytics Familiarity with Graph Algorithms (Directed & Undirected) Traversal (BFS, DFS), Cycle Detection (Bellman Ford, Flyod Warshall), Shortest Path (Dijkstra, A*) etc. Building Knowledge Graphs with unstructured data and knowledge graph optimizations like PageRank/TrustRank is expected Mathematical Optimization Familiarity with common optimization algorithms, both discrete Linear, Mixed-Integer, Goal, Dynamic etc and continuous GD and its variants, Newtons method etc. is expected. Experience with Simulated Annealing and exposure to ML inspired evolutionary optimization algorithms like Genetic Algorithm & Genetic Programming for optimization is a plus. Simulations Monte Carlo Simulation, Discrete-Event Simulation, Agent-Based Simulation, Hybrid Simulation, System Dynamics, Genetic Algorithm based Simulation. Model Deployment ML pipeline formation, data security and scrutiny check and ML-Ops for productionizing a built model on-premises and on cloud. Your Profile Programming Languages Python NumPy, SciPy, Pandas, MatPlotLib, Seaborne Databases RDBMS (MySQL, Oracle etc.), NoSQL Stores (HBase, Cassandra etc.) ML/DL Frameworks SciKitLearn, TensorFlow (Keras), PyTorch, Big data ML Frameworks - Spark (Spark-ML, Graph-X), H2O Cloud Azure/AWS/GCP Experienced in Agile way of working, manage team effort and track through JIRA Experience in Proposal, RFP, RFQ and pitch creations and delivery to the big forum. Experience in POC, MVP, PoV and assets creations with innovative use cases Experience working in a consulting environment is highly desirable. What you will love about working here We recognize the significance of flexible work arrangements to provide support. Be it remote work, or flexible work hours, you will get an environment to maintain healthy work life balance. At the heart of our mission is your career growth. Our array of career growth programs and diverse professions are crafted to support you in exploring a world of opportunities. Equip yourself with valuable certifications in the latest technologies such as Generative AI. About Capgemini Capgemini is a global business and technology transformation partner, helping organizations to accelerate their dual transition to a digital and sustainable world, while creating tangible impact for enterprises and society. It is a responsible and diverse group of 340,000 team members in more than 50 countries. With its strong over 55-year heritage, Capgemini is trusted by its clients to unlock the value of technology to address the entire breadth of their business needs. It delivers end-to-end services and solutions leveraging strengths from strategy and design to engineering, all fueled by its market leading capabilities in AI, cloud and data, combined with its deep industry expertise and partner ecosystem. The Group reported 2023 global revenues of 22.5 billion.

Roles and Responsibilities Design and develop data science solutions using Python. Experience in machine learning and deep learning frameworks (PyTorch, TensorFlow) Develop machine learning models using TensorFlow or PyTorch and deploy them on Kubernetes, MLflow, and KServe clusters. Familiarity with machine learning deployment and MLOps tools Experience working with model repositories and fine-tuning frameworks like Hugging Face. Experience with frameworks like LangGraph/LangChain. Design and implement AI agent workflows. Develop end-to-end intelligent pipelines and multi-agent systems (e.g., LangGraph/LangChain workflows) that coordinate multiple LLM-powered agents to solve complex tasks. Create graph-based or state-machine architectures for AI agents, chaining prompts and tools as needed. Build and fine-tune generative models. Develop, train, and fine-tune advanced generative models (transformers, diffusion models, VAEs, GANs, etc.) on domain-specific data. Deploy and optimize foundation models (such as GPT, LLaMA, Mistral) in production, adapting them to our use cases through prompt engineering and supervised fine-tuning.

Vandey provides outsourced instructional services to institutions of higher education and is seeking a candidate to work for Vandey to serve in a full-time role as a Senior Data Scientist with the University of the People. INTRODUCTION: University of the People (UoPeople) is the first non-profit, tuition-free, American, accredited, 100% online university. Today, UoPeople has over 152,000 students enrolled from more than 200 countries and territories, including 18,800 students who are refugees. Currently UoPeople is accredited by the DEAC and WASC accreditation. We believe that higher education is a basic human right and that it can transform not only the lives of students, but also their families' lives, their communities, their nations, and, by extension, the world. See President Reshef’s TED talk when he announced the founding of the University.[ TED talk ] UoPeople is an innovative university, and we welcome team members who bring creativity and innovation to their roles. We’re a fast-paced organization with remote teams all around the globe. If you’re a self-starter who wants to succeed alongside a passionate team, we’d love to hear from you! UoPeople is supported by the generosity of individuals and foundations, including the Gates, Hewlett, Ford Foundations, Foundation Hoffmann, and others. The University has been covered by the New York Times, BBC, NPR, Times Higher Education, US News and World Report, and more. President Reshef’s TED Talk and Nas Daily interview about the University have 30 million views combined. REPORTS TO : VP of Strategy and Planning JOB SUMMARY: We are seeking a talented and analytical data scientist to partner with the University leadership to create actionable data insights into our operations and students journey. You will work closely with stakeholders to answer key questions such as how to increase enrollment, improve retention and graduation, generate more revenue and better understand our student profile. In this role, you will take full ownership of your projects from start to finish. This includes collaborating with stakeholders to understand key business questions, sourcing and preparing data, performing exploratory data analysis, building and fine-tuning models, and conducting in-depth analysis. You will communicate your findings and insights through dashboards, visualizations, and presentations, ensuring alignment with business objectives. RESPONSIBILITIES: Partner with key stakeholders to identify analytical opportunities, frame business questions, and deliver data-driven solutions Design, build, and optimize predictive models using historic data, machine learning techniques, statistical modeling to forecast future trends Conduct exploratory data analysis to uncover trends, patterns, and anomalies that inform business decisions Conducting large-scale A/B experiments Collaborate with data governance team to assess data health and provide support in developing an automated data quality audit process Mentor and upskill data analysts to advance analytical capabilities using modern techniques and methods. Contribute to evaluation of AI vendors and solutions to assess technical feasibility, privacy and ethical considerations and strategic alignment with university goals. QUALIFICATIONS: Bachelor’s or Master’s degree in Computer Science, Data Science, Statistics, Mathematics, or a related field (PhD preferred). Must have Previous experience with Statistical Modeling and MLOps Must have previous experience with Google Big Query or another cloud data warehouse technology Proven experience (5+ years) in developing and deploying ML predictive models in a business environment. Strong understanding of AI and ML technologies (NLP, Deep Learning and Gen AI) Proficient in programming (Python, R, Pandas, Scikit-Learn, Plotly etc.) Proficient in excel, SQL, database technologies, data modeling/architecture Strong knowledge of machine learning frameworks (e.g., TensorFlow, scikit-learn, PyTorch). Hands on knowledge of Power BI and/or Looker visualization tool Experience with learning management or edtech products is a big plus Strategic thinker with a problem-solving mindset and a passion for innovation. Show more Show less

Role: Solution Architect (AI/ML Specialization) Full time Professional About Onix : Onix is a Google Cloud Premier Partner serving over 1,400 customers, including several of the world's largest corporations, enabling them to effectively leverage Google Cloud Platform across industries and use cases. Onix specialises in Google Cloud Solutions such as generative AI, workload migrations, data & analytics, data infrastructure and visualisation, infrastructure services, application modernisation, collaboration & productivity, and location-based services. Onix is a 12-time Google Partner of the Year award winner and a Google Cloud Managed Services Partner. Summary: We are seeking a skilled and customer-focused AI/ML Solution Architect to join Onixs Solution Engineering team. This role blends deep technical expertise with presales acumen to architect, evangelise, and deliver cutting-edge AI and ML solutions on GCP and multi-cloud platforms. You will engage directly with clients in high-impact discussions, guiding them through the art of the possible with generative AI, MLOps, and cloud-native tools. As a key technical advisor, you will participate in strategic discovery sessions, lead solution ideation and architecture reviews , and collaborate closely with clients, sales, and engineering teams to shape transformational AI/ML initiatives. Your insights will help drive client success, showcase technical feasibility , and demonstrate business value through proofs of concept and impactful solution designs. Key Responsibilities: Partner with sales and customer engineering teams in presales engagements to identify AI/ML opportunities and craft tailored solution architectures. Design scalable, cloud-native AI/ML solutions primarily on Google Cloud Platform (GCP) leveraging tools like Vertex AI, LangChain, OpenAI APIs, and MLOps frameworks . Lead technical workshops, client demos, and architecture sessions to articulate value, drive alignment, and win stakeholder confidence. Review solution proposals across teams to ensure architectural integrity, scalability, and adherence to best practices . Stay ahead of the curve by assessing emerging GenAI tools and frameworks to validate new ideas and accelerate innovation . Required Qualifications: Bachelors degree in Computer Science, Engineering, or a related field; Master’s degree preferred. Extensive hands-on experience with cloud platforms , especially GCP (AWS and Azure exposure is a plus). Strong understanding of AI/ML tools and systems , including TensorFlow, PyTorch, Vertex AI, OpenAI, LangChain , and MLOps pipelines . 4–5 years of experience in data science, software development, or machine learning , with proficiency in languages like Python, Java, or JavaScript. Proven experience applying ML technologies to real-world industry use cases , with a solid grasp of data lifecycle and cloud deployment strategies. Exceptional client-facing communication and solution storytelling skills , with a track record in technical presales or consulting roles .

Job Description: Designs and implements AI architectures based on client needs Strategically utilizes the in-house data center as a platform for customer AI workloads Collaborates closely with international teams of data scientists, engineers, and infrastructure specialists Aligns AI solutions with compute, storage, and network capacities across private, hybrid, and public infrastructures Makes strategic choices in AI tools and technologies with a focus on open source and scalability Supports MLOps implementations, CI/CD, data pipelines, and lifecycle management Contributes to AI governance, reliability, and solution scalability Keeps up with the latest developments in AI, hardware acceleration, and infrastructure Assists clients in leveraging AI at an enterprise level Requirements: At least 10 years of experience as an AI Architect or in a comparable technical AI role Experience developing AI solutions for clients in an enterprise environment Experience working in an international context with cross-functional teams Experience with AI hardware and solutions from NVIDIA, IBM, and HPE is a plus In-depth knowledge of open-source AI frameworks such as TensorFlow, PyTorch, Hugging Face, MLflow, Kubeflow, etc. Familiarity with containers and orchestration tools like Docker and Kubernetes Understanding of data governance, security, and compliance in AI projects Strong communication skills and a client-oriented mindset Excellent command of the English language, both spoken and written

We are seeking a highly skilled and motivated MLOps Site Reliability Engineer (SRE) to join our team. In this role, you will be responsible for ensuring the reliability, scalability, and performance of our machine learning infrastructure. You will work closely with data scientists, machine learning engineers, and software developers to build and maintain robust and efficient systems that support our machine learning workflows. This position offers an exciting opportunity to work on cutting-edge technologies and make a significant impact on our organization's success. Design, implement, and maintain scalable and reliable machine learning infrastructure. Collaborate with data scientists and machine learning engineers to deploy and manage machine learning models in production. Develop and maintain CI/CD pipelines for machine learning workflows. Monitor and optimize the performance of machine learning systems and infrastructure. Implement and manage automated testing and validation processes for machine learning models. Ensure the security and compliance of machine learning systems and data. Troubleshoot and resolve issues related to machine learning infrastructure and workflows. Document processes, procedures, and best practices for machine learning operations. Stay up-to-date with the latest developments in MLOps and related technologies. Qualifications Required: Bachelor's degree in Computer Science, Engineering, or a related field. Proven experience as a Site Reliability Engineer (SRE) or in a similar role. Strong knowledge of machine learning concepts and workflows. Proficiency in programming languages such as Python, Java, or Go. Experience with cloud platforms such as AWS, Azure, or Google Cloud. Familiarity with containerization technologies like Docker and Kubernetes. Experience with CI/CD tools such as Jenkins, GitLab CI, or CircleCI. Strong problem-solving skills and the ability to troubleshoot complex issues. Excellent communication and collaboration skills. Preferred Master's degree in Computer Science, Engineering, or a related field. Experience with machine learning frameworks such as TensorFlow, PyTorch, or Scikit-learn. Knowledge of data engineering and data pipeline tools such as Apache Spark, Apache Kafka, or Airflow. Experience with monitoring and logging tools such as Prometheus, Grafana, or ELK stack. Familiarity with infrastructure as code (IaC) tools like Terraform or Ansible. Experience with automated testing frameworks for machine learning models. Knowledge of security best practices for machine learning systems and data. Show more Show less

REF69967Q_2025151745 - Deputy Manager - Operations - Data science Roles & Responsibilities: Data Analysis: Analyse large datasets to extract meaningful insights and trends Model Development: Develop and implement predictive models and machine learning algorithms to solve business problems Data Cleaning: Ensure data quality by cleaning and pre-processing data Visualization: Create visualizations to present data insights using tools like Power BI or Python libraries (eg, Matplotlib, Seaborn) Collaboration: Work closely with data engineers, software developers, and business stakeholders to understand requirements and deliver solutions Reporting: Generate automated reports and dashboards to provide actionable insights Research: Stay updated with the latest trends and technologies in data science and machine learning Technical Skills Required: Programming Languages: Proficiency in Python and SQL Machine Learning: Experience with machine learning frameworks such as Scikit-learn, TensorFlow, or PyTorch Data Visualization: Skills in data visualization tools like Power BI, Matplotlib, Seaborn, or Plotly Statistical Analysis: Strong understanding of statistical methods and techniques Data Wrangling: Expertise in data wrangling and pre-processing using libraries like Pandas and NumPy Platforms like Power BI, Power Automate, Apps are good to have

Job Description This position involves developing advanced image processing algorithms for the wafer inspection. Deep understanding and application knowledge on the machine learning and computer vision, familiar with major deep-learning architecture, like CNN, GAN, Transformer. Strong hands-on coding ability on either python or C++, experience with Linux is preferred. Familiarity with the major DL frameworks either TensorFlow or PyTorch Great teammate with excellent written and verbal communication skills. Experience of unsupervised machine learning, handling large data and anomaly detection is a bonus. Experience of deploying a ML/DL algorithm solution end-to-end is preferred. Total experience not more than 9 years B.Tech/MSC: Minimum 4+ years or M.Tech/MS: Minimum 3 +years or Phd + 0 years( candidate MUST be from tier 1 college) Degree Only from Tier 1 College(IIT/IIIT/IISC/NIT/VIT) Or Tier 1 state Colleges (PSG/CEG) Candidates from product company only Min 4 Yrs Experience In The Below Skills Artificial Intelligence Machine learning Deep Learning Computer vision/Image processing Minimum Qualifications New college graduates in any of the following degree: Ph.D., Dual Degree, Masters, or Bachelors. (Candidates from EE, CS and Mathematics background would be preferred) The ideal candidate will have a working knowledge of Machine Vision. Knowledge of Deep Learning with working experience in Tensor Flow, Theano, PyTorch etc. Working experience in one or more of the following DL techniques: GANs, Auto Encoders, Semantic Segmentation, Ability to formulate problems into mathematical equations. Show more Show less

Job Description What we do At Goldman Sachs, our Engineers don’t just make things – we make things possible. Change the world by connecting people and capital with ideas. Solve the most challenging and pressing engineering problems for our clients. Join our engineering teams that build massively scalable software and systems, architect low latency infrastructure solutions, proactively guard against cyber threats, and leverage machine learning alongside financial engineering to continuously turn data into action. Create new businesses, transform finance, and explore a world of opportunity at the speed of markets. Want to push the limit of digital possibilities? Start here. Client Onboarding Engineering is the key group which is focused on various key activities involving onboarding of clients of Goldman Sachs faster and better. We are committed to deliver projects involving process workflow for KYC Due Diligence (AML), Regulatory & Product Due Diligence, entity case assessment, Client outreaches, client account opening services and Client Lifecycle Management platform. Engineering, is at the critical center of our business, and our dynamic environment requires innovative strategic thinking and immediate, real solutions. We use both open-source industry standard and internal proprietary technologies to build strategic platforms for onboarding clients through proactive management of the f2b onboarding process. This also involves projects requiring document and data digitization through various NLP techniques where the developer works in close partnership with R&D team involving new machine learning methodologies, setting the stage for STP and full automation of the various workflows and processes. Team members have the opportunity daily, to work with various global stakeholders (Compliance, Business, Client Implementation, Quality Assurance, Firmwide Ref Data Engineering) to onboard new clients with a focus on efficiency, control, and excellent client service that in mandated per se AML Enhanced Due Diligence (EDD) Policy and select EDD Procedures within Financial Crime Compliance (FCC). We are looking for a strong engineer who can work at the forefront of technology innovation and drive our goal forward. We need strong , self driven & motivated individuals who would develop and extend our service oriented platform to provide flexible features and functionalities to various Operations working group in Goldman Sachs and also deliver key client onboarding flows as well as an enriched client experience. Our technology stack consists of Java, Spring, React, BPMNs, RESTful web services, Elastic Search, Kubernetes, Mongo and DB2 database, industry tools integration API’s. A willingness to learn new languages, technologies and the business will be the key to your success in this role. How You Will Fulfill Your Potential 1+ years of experience in Software development in a fast paced environment with a successful track record of delivering quality code Great problem solving skills, desire to solve problems that have no text book solution Strong analytical and problem solving skills along with exceptional communication skills to operate in a fast-paced Agile/Scrum setup with global/remote team. Ability to design scalable, reliable, maintainable solutions with very excellent user experience Strong verbal and written communications skills and an ability to work in a team environment Experience with implementing unit tests, integration tests, Test Driven Development. Ability to work independently and as part of a team with skills to adapt to a variety of technologies Obsession with quality, operational excellence and user experience Proficient at working with large and complex code bases and comfortable with agile operating models A wide variety of projects are active and we have a long pipeline of proposed business solutions Participate in the design, development, testing and documentation of our COB platform Evolve the client onboarding platform to meet business, client, regulatory, operational, technical needs Participate in the entire SDLC from definition of requirements through deployment and production resiliency. Work closely with Business, Operations users and other developers globally Excellent opportunity to gain strong domain knowledge on aspects of the firms’ client onboarding functions across all divisional groups Skills And Experience We Are Looking For Bachelor’s degree in Computer Science (or equivalent work experience) Minimum of 1 years of professional development experience Exceptional machine learning programming skills and proficient in DNN, NLP, Transformer architecture, Tensorflow, Pytorch, LLM, scikit-learn Demonstrable core Java (JDK 8 and above) development experience (solid understanding of Core Java concepts and design patterns) Experience with building and maintaining a micro-service based distributed architecture Proven object oriented design and implementation skills Technologies: Java, Spring, Web Services, Web API (RestFul), Python. Solid understanding of relational databases like Db2, Sybase etc. Strong technical, analytical and communication skills; must be a self-starter Preferred Qualifications Experience with Kubernetes deployment architectures Experience in distributed systems (Kafka) About Goldman Sachs At Goldman Sachs, we commit our people, capital, and ideas to help our clients, shareholders, and the communities we serve to grow. Founded in 1869, we are a leading global investment banking, securities, and investment management firm. Headquartered in New York, we maintain offices around the world. We believe who you are makes you better at what you do. We're committed to fostering and advancing diversity and inclusion in our own workplace and beyond by ensuring every individual within our firm has several opportunities to grow professionally and personally, from our training and development opportunities and firmwide networks to benefits, wellness and personal finance offerings and mindfulness programs. Learn more about our culture, benefits, and people at GS.com/careers. We’re committed to finding reasonable accommodations for candidates with special needs or disabilities during our recruiting process. Learn more: https://www.goldmansachs.com/careers/footer/disability-statement.html © The Goldman Sachs Group, Inc., 2025. All rights reserved. Goldman Sachs is an equal employment/affirmative action employer Female/Minority/Disability/Veteran/Sexual Orientation/Gender Identity Show more Show less

Quantitative Analyst: Hillroute Capital About Hillroute: Hillroute Capital is a regulated quantitative hedge fund specializing in global digital asset trading. We leverage sophisticated quantitative methodologies and advanced technology to achieve exceptional risk-adjusted returns. Our transparent approach and diverse, experienced team allow us to excel in the rapidly evolving digital asset market. About the Role: We are seeking a highly skilled Quantitative Analyst to develop, test, and refine systematic trading models across global digital asset markets. This role offers flexibility in approach—candidates with expertise in systematic strategies, options trading, statistical arbitrage, backtesting, or machine learning are equally encouraged to apply. Key Responsibilities: Strategy Development & Backtesting: Design and rigorously backtest quantitative trading models, ensuring predictive reliability and strong risk management. Quantitative & Statistical Analysis: Apply advanced statistical modeling, econometric analysis, or financial mathematics to extract market insights. Risk Management: Contribute actively to robust risk management frameworks, identifying potential risks and implementing mitigation strategies. Innovation: Regularly generate and test new ideas and strategies, pushing boundaries to enhance fund performance. Preferred Qualifications: 3–5 years experience in quantitative analysis, trading, or research roles within finance. 1-3 years experience in running quantitative machine learning models. Advanced degree in quantitative disciplines (Mathematics, Physics, Statistics, Computer Science, Engineering). Strong Python programming skills (NumPy, Pandas), and familiarity with backtesting frameworks (Backtrader, QuantConnect). Solid knowledge in options pricing, volatility modeling, statistical arbitrage, or systematic strategies. Familiarity with financial data platforms (Bloomberg, Refinitiv, Quandl). Exposure to cloud computing environments (AWS, GCP, Azure). Experience or interest in applying machine learning techniques (XGBoost, TensorFlow, PyTorch) is a plus—but not mandatory. Participation in Kaggle or similar platforms is beneficial but not required. Key Performance Indicators (KPIs): Model profitability and risk-adjusted returns. Backtest reliability and accuracy. Effectiveness in risk management. Contribution to innovation and research quality. What We Offer: Competitive compensation and performance-based incentives. The opportunity to pioneer quantitative strategies in the dynamic digital asset industry. A collaborative, inclusive, and flexible working environment. Professional growth in an innovative, fast-paced hedge fund setting. If you're passionate about quantitative finance and thrive in a dynamic, data-driven environment, we invite you to join our team. Apply directly via LinkedIn: Hillroute Capital Show more Show less

What is Hunch? Hunch is a dating app that helps you land a date without swiping like a junkie. Designed for people tired of mindless swiping and commodified matchmaking, Hunch leverages a powerful AI-engine to help users find meaningful connections by focusing on personality over just looks. With 2M+ downloads and a 4.4-star rating , Hunch is going viral in the US by challenging the swipe-left/right norm of traditional apps. Hunch is a Series A funded ($23 Million) startup building the future of social discovery in a post-AI world. Link to our fundraising announcement Key Offerings Of Hunch Swipe Less, Vibe More: Curated profiles, cutting the clutter of endless swiping. Personality Matters: Opinion-based, belief-based, and thought-based compatibility rather than just focusing on looks. Every Match, Verified: No bots, no catfishing—just real, trustworthy connections Match Scores: Our AI shows compatibility percentages, helping users identify their “100% vibe match.” Position Overview We are looking for a Principal Data Scientist with Strong foundations in machine learning theory and mathematics. Experience in designing and implementing end-to-end machine learning solutions across various domains (e.g., computer vision, NLP, Recommender System etc.). Hands-on experience with deep learning frameworks (preferably PyTorch) and traditional ML models. Proven ability to translate business problems into data problems and deliver effective solutions. Expertise in structuring clean, maintainable code following SOLID principles. A collaborative mindset and the ability to lead and mentor junior data scientists. Responsibilities Design and implement end-to-end machine learning solutions, collaborating with Backend Engineers, Data Engineers, and MLOps. Research and apply machine learning algorithms to solve diverse, real-world problems. Conduct extensive data analysis to understand patterns and behaviors, ensuring effective model design and feature selection. Design and execute A/B testing experiments to test different algorithms and strategies, analyze performance metrics, and iterate on models based on results Lead junior data scientists Qualifications Mandatory Bachelors in engineering or science Proven continual experience of 6+ years in designing, implementing, and deploying solutions for real-world applications Strong programming skills in Python and SQL with experience in relevant libraries (e.g., PyTorch, TensorFlow, scikit-learn, etc.). Solid understanding of machine learning concepts and methods and Mathematics behind them Experience working on deep learning projects in either computer vision or NLP, with a preference for PyTorch. Theoretical knowledge of computer vision and NLP concepts and techniques. Great to Have Demonstrable experience with Large Language Models (LLMs) and proficiency in utilizing the Hugging Face Transformers library Experience working on recommender systems , particularly in large-scale applications. Contributions to publications, research, or open-source projects. What we have to offer Competitive financial rewards + annual PLI (Performance Linked Incentives). Meritocracy-driven, candid, and diverse culture. Employee benefits like Medical Insurance One annual all expenses paid by company trip for all employees to bond Although we work from our office in New Delhi, we are flexible in our style and approach Life @Hunch Work Culture: At Hunch we take our work seriously but don’t take ourselves too seriously. Everyone is encouraged to think as owners and not renters, and we prefer to let builders build, empowering people to pursue independent ideas. Impact: Your work will shape the future of social engagement and connect people around the world. Collaboration: Join a diverse team of creative minds and be part of a supportive community. Growth: We invest in your development and provide opportunities for continuous learning. Backed by Global Investors: Hunch is a Series A funded startup, backed by Hashed, AlphaWave, Brevan Howard and Polygon Studios Experienced Leadership: Hunch is founded by a trio of industry veterans - Ish Goel (CEO), Nitika Goel (CTO), and Kartic Rakhra (CMO) - serial entrepreneurs with the last exit from Nexus Mutual, a web3 consumer-tech startup. Show more Show less

Job Description What we do At Goldman Sachs, our Engineers don’t just make things – we make things possible. Change the world by connecting people and capital with ideas. Solve the most challenging and pressing engineering problems for our clients. Join our engineering teams that build massively scalable software and systems, architect low latency infrastructure solutions, proactively guard against cyber threats, and leverage machine learning alongside financial engineering to continuously turn data into action. Create new businesses, transform finance, and explore a world of opportunity at the speed of markets. Want to push the limit of digital possibilities? Start here. Client Onboarding Engineering is the key group which is focused on various key activities involving onboarding of clients of Goldman Sachs faster and better. We are committed to deliver projects involving process workflow for KYC Due Diligence (AML), Regulatory & Product Due Diligence, entity case assessment, Client outreaches, client account opening services and Client Lifecycle Management platform. Engineering, is at the critical center of our business, and our dynamic environment requires innovative strategic thinking and immediate, real solutions. We use both open-source industry standard and internal proprietary technologies to build strategic platforms for onboarding clients through proactive management of the f2b onboarding process. This also involves projects requiring document and data digitization through various NLP techniques where the developer works in close partnership with R&D team involving new machine learning methodologies, setting the stage for STP and full automation of the various workflows and processes. Team members have the opportunity daily, to work with various global stakeholders (Compliance, Business, Client Implementation, Quality Assurance, Firmwide Ref Data Engineering) to onboard new clients with a focus on efficiency, control, and excellent client service that in mandated per se AML Enhanced Due Diligence (EDD) Policy and select EDD Procedures within Financial Crime Compliance (FCC). We are looking for a strong engineer who can work at the forefront of technology innovation and drive our goal forward. We need strong , self driven & motivated individuals who would develop and extend our service oriented platform to provide flexible features and functionalities to various Operations working group in Goldman Sachs and also deliver key client onboarding flows as well as an enriched client experience. Our technology stack consists of Java, Spring, React, BPMNs, RESTful web services, Elastic Search, Kubernetes, Mongo and DB2 database, industry tools integration API’s. A willingness to learn new languages, technologies and the business will be the key to your success in this role. How You Will Fulfill Your Potential 1+ years of experience in Software development in a fast paced environment with a successful track record of delivering quality code Great problem solving skills, desire to solve problems that have no text book solution Strong analytical and problem solving skills along with exceptional communication skills to operate in a fast-paced Agile/Scrum setup with global/remote team. Ability to design scalable, reliable, maintainable solutions with very excellent user experience Strong verbal and written communications skills and an ability to work in a team environment Experience with implementing unit tests, integration tests, Test Driven Development. Ability to work independently and as part of a team with skills to adapt to a variety of technologies Obsession with quality, operational excellence and user experience Proficient at working with large and complex code bases and comfortable with agile operating models A wide variety of projects are active and we have a long pipeline of proposed business solutions Participate in the design, development, testing and documentation of our COB platform Evolve the client onboarding platform to meet business, client, regulatory, operational, technical needs Participate in the entire SDLC from definition of requirements through deployment and production resiliency. Work closely with Business, Operations users and other developers globally Excellent opportunity to gain strong domain knowledge on aspects of the firms’ client onboarding functions across all divisional groups Skills And Experience We Are Looking For Bachelor’s degree in Computer Science (or equivalent work experience) Minimum of 1 years of professional development experience Exceptional machine learning programming skills and proficient in DNN, NLP, Transformer architecture, Tensorflow, Pytorch, LLM, scikit-learn Demonstrable core Java (JDK 8 and above) development experience (solid understanding of Core Java concepts and design patterns) Experience with building and maintaining a micro-service based distributed architecture Proven object oriented design and implementation skills Technologies: Java, Spring, Web Services, Web API (RestFul), Python. Solid understanding of relational databases like Db2, Sybase etc. Strong technical, analytical and communication skills; must be a self-starter Preferred Qualifications Experience with Kubernetes deployment architectures Experience in distributed systems (Kafka) About Goldman Sachs At Goldman Sachs, we commit our people, capital, and ideas to help our clients, shareholders, and the communities we serve to grow. Founded in 1869, we are a leading global investment banking, securities, and investment management firm. Headquartered in New York, we maintain offices around the world. We believe who you are makes you better at what you do. We're committed to fostering and advancing diversity and inclusion in our own workplace and beyond by ensuring every individual within our firm has several opportunities to grow professionally and personally, from our training and development opportunities and firmwide networks to benefits, wellness and personal finance offerings and mindfulness programs. Learn more about our culture, benefits, and people at GS.com/careers. We’re committed to finding reasonable accommodations for candidates with special needs or disabilities during our recruiting process. Learn more: https://www.goldmansachs.com/careers/footer/disability-statement.html © The Goldman Sachs Group, Inc., 2025. All rights reserved. Goldman Sachs is an equal employment/affirmative action employer Female/Minority/Disability/Veteran/Sexual Orientation/Gender Identity Show more Show less

Zenoti provides an all-in-one, cloud-based software solution for the beauty and wellness industry. Our solution allows users to seamlessly manage every aspect of the business in a comprehensive mobile solution: online appointment bookings, POS, CRM, employee management, inventory management, built-in marketing programs and more. Zenoti helps clients streamline their systems and reduce costs, while simultaneously improving customer retention and spending. Our platform is engineered for reliability and scale and harnesses the power of enterprise-level technology for businesses of all sizes Zenoti powers more than 30,000 salons, spas, medspas and fitness studios in over 50 countries. This includes a vast portfolio of global brands, such as European Wax Center, Hand & Stone, Massage Heights, Rush Hair & Beauty, Sono Bello, Profile by Sanford, Hair Cuttery, CorePower Yoga and TONI&GUY. Our recent accomplishments include surpassing a $1 billion unicorn valuation, being named Next Tech Titan by GeekWire, raising an $80 million investment from TPG, ranking as the 316th fastest-growing company in North America on Deloitte’s 2020 Technology Fast 500™. We are also proud to be recognized as a Great Place to Work CertifiedTM for 2021-2022 as this reaffirms our commitment to empowering people to feel good and find their greatness. To learn more about Zenoti visit: https://www.zenoti.com What's the Opportunity? We're looking for a skilled Software Engineer (Python/AWS) to join our innovative team! This is a fantastic chance to contribute directly to building scalable and reliable software systems on AWS. You'll be working on core services that power our SaaS platform. If you're passionate about well-engineered software, cloud-native solutions, and using modern development tools like Cursor IDE and GitHub Copilot to boost your productivity, we want to hear from you! What will I be doing? Be a part of the team working on cutting-edge AI products in the wellness industry. Design, develop, and deploy cloud-based features using Python and relevant frameworks. Collaborate with data scientists and product managers to translate business requirements into technical solutions. Leverage data analysis techniques to extract insights and improve application functionality. Write clean, maintainable, and well-documented code. Conduct code reviews and contribute to improving code quality across the team. Stay up-to-date with the latest advancements in Python, cloud technologies, and data analysis practices. Troubleshoot and debug complex technical issues. Proactively identify and implement performance optimizations. Work effectively in a cross-functional team environment. What skills do I need? Bachelor's degree in Computer Science or IT. 4 to 6 years of overall experience as a Python developer. Experience in building solutions upon AWS cloud services. Experience in using Python data analytics frameworks like numpy, pandas and scipy is a must. Exposure to ML frameworks like Tensorflow and PyTorch will be an added advantage. Benefits Attractive Compensation & Benefits Comprehensive medical coverage for yourself and your immediate family An environment where wellbeing is high on priority – access to regular yoga, meditation, breathwork, nutrition counseling, stress management, inclusion of family for most benefit awareness building sessions Opportunities to be a part of a community and give back: Social activities are part of our culture; You can look forward to regular engagement, social work, community give-back initiatives" Zenoti provides equal employment opportunities to all employees and applicants for employment and prohibits discrimination and harassment of any type without regard to race, color, religion, age, sex, national origin, disability status, genetics, protected veteran status, sexual orientation, gender identity or expression, or any other characteristic protected by federal, state, or local laws. This policy applies to all terms and conditions of employment, including recruiting, hiring, placement, promotion, termination, layoff, recall, transfer, leaves of absence, compensation and training. Show more Show less

Dear Associate Greetings from TATA Consultancy Services!! Thank you for expressing your interest in exploring a career possibility with the TCS Family. We have a job opportunity for at Tata Consultancy Services at 14th June 2025. Hiring For : AWS Data Scientist Mandatory Skills: Python AI ML, MlOPs, Spark, Hadoop,PyTorch, TensorFlow,Matplotlib, Seaborn, Tableau, Power BI,scikit-learn, TensorFlow, XGBoost,AWS,Azure , AWS, Databricks,Pyspark, Python,SQL, Snowflake Walk in Location: Pune Experience : 5-15 years Mode of interview: in-person walk in drive Date of interview: 14 June 2025 Venue : Zone 3 Auditorium, Tata Consultancy Services, Sahyadri Park, Rajiv Gandhi Infotech Park, Hinjewadi Phase 3, Pune – 411057 If you are interested in this exciting opportunity, Please share your updated resume on jeena.james1@tcs.com along with the additional information mentioned below: Name: Preferred Location: Contact No: Email id: Highest Qualification: Current Organization Total Experience: Relevant Experience in Data Scientist: Current CTC: Expected CTC: Notice Period: Gap Duration: Gap Details: Attended interview with TCS in past(details): Please share your I begin portal EP id if already registered: Willing to attend walk in on 14th June: (Yes/No) Note: only Eligible candidates with Relevant experience will be contacted further Thanks & Regards, Jeena James, Website: http://www.tcs.com Email: jeena.james1@tcs.com Human Resource - Talent Acquisition Group, Tata Consultancy Services Show more Show less

Responsibilities Work Actively as a part of the Computer Vision and Deep Learning Team to Train Computer Vision Models Work Closely with the Data Science Team for Appropriate Dataset Curation Work on Challenging Problem Statements to fine-tune models with Huge Dataset Implementation of the SOTA Architectures for Model Training Work closely with the R&D Team towards improving model accuracy and precision for CCTV cameras Requirements Proficient with Training of Detection/Classification/Segmentation Models with Tensorflow/PyTorch Good understanding of Dataset Quality for Computer Vision Applications. Strong understanding of Model Training Dynamics. Should be able to find out the error and resolve it based on training/eval metrics. Good Theoretical and Practical Knowledge with the fundamentals of Deep Learning, eg. CNNs, Regularization Techniques, etc. Familiarity with State-of-the-Art Models like YOLO-series, Efficient Net/EfficientDet, etc. Experience with using Docker containers for Computer Vision/Deep Learning. How We Work We use Microsoft Teams for daily communication, conduct daily standups and team meetings over Teams. We value open discussion, ownership, and a founder mindset. We prioritize design, amazing UI/UX, documentation, to-do lists, and data-based decision-making. We encourage team bonding through bi-weekly town halls, destressing sessions with a certified healer, and fun company retreats twice a year. We offer a 100% remote workplace model, health insurance, top performers eligible for attractive equity options, mental health consultations, company-sponsored upskilling courses, growth hours, the chance to give back with 40 hours for community causes, and access to a financial advisor. Wobot is an Equal Opportunity Employer If you have a passion for developing innovative computer vision solutions and want to work on cutting-edge technology, we encourage you to apply for this exciting opportunity. Show more Show less

Who we are Tractable is an Artificial Intelligence company bringing the speed and insight of Applied AI to visual assessment. Trained on millions of data points, our AI-powered solutions connect everyone involved in insurance, repairs, and sales of homes and cars – helping people work faster and smarter, while reducing friction and waste. Founded in 2014, Tractable is now the AI tool of choice for world-leading insurance and automotive companies. Our solutions unlock the potential of Applied AI to transform the whole recovery ecosystem, from assessing damage and accelerating claims and repairs to recycling parts. They help make response to recovery up to ten times faster – even after full-scale disasters like floods and hurricanes. Tractable has a world-class culture, backed up by our team, making us a global employer of choice! We're a diverse team, uniting individuals of over 40 different nationalities and from varied backgrounds, with machine learning researchers and motor engineers collaborating together on a daily basis. We empower each team member to have tangible impact and grow their own scope by intentionally building a culture centred around collaboration, transparency, autonomy and continuous learning. We're seeking a Senior Data Scientist to lead the delivery of real-world AI solutions across industries like insurance and automotive. You'll drive end-to-end ML development—from scalable pipelines to production deployment—while mentoring teammates and collaborating with enterprise partners to deliver business impact. Your impact Architect Solutions: Design and optimise scalable ML systems, focusing on computer vision and NLP/LLM applications Build & Deploy Models: Develop and productionise deep learning models using Python and modern ML frameworks Lead Cross-Functionally: Align research, engineering, and product goals through hands-on leadership Mentor & Guide: Support junior team members and promote best practices in ML development Engage Customers: Collaborate directly with enterprise clients to ensure seamless integration of AI solutions Drive Innovation: Evaluate and implement new AI tools and methodologies to enhance performance and scalability What you'll need to be successful Applied AI Expertise: 5+ years building ML systems, especially in computer vision or NLP/LLM Strong Python & ML Skills: Proficiency in Python and ML libraries (e.g. PyTorch, TensorFlow) Production Experience: Hands-on experience deploying ML models in production environments Cloud & Data Engineering: Knowledge of cloud platforms (ideally AWS) and scalable data pipelines Collaboration & Communication: Ability to work across teams and communicate complex ideas clearly Problem-Solving Mindset: Analytical thinking and a focus on continuous improvement Preferred experience Industry Impact: Experience applying AI in insurance, automotive, or similar sectors LLM/NLP Expertise: Background in large language models or conversational AI Scalable Product Delivery: Proven success scaling ML solutions in production Leadership: Track record of mentorship and technical leadership in data science teams Diversity commitment At Tractable, we are committed to building a diverse team and inclusive workplace where people’s varied backgrounds and experiences are valued and recognised. We encourage applications from candidates of all backgrounds and offer equal opportunities without discrimination. Show more Show less

When you join Verizon You want more out of a career. A place to share your ideas freely — even if they’re 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 #VTeamLife. What You’ll Be Doing... As a DMTS (AI Science) you will own and drive end to end solutions for Cognitive and Gen AI driven use cases. Working on designing and building scalable cognitive and generative AI solutions to meet the needs of given Business engagement. Providing technical thought leadership on model architecture, delivery, monitoring, measurement and model lifecycle best practices. Working in collaborative environment with global teams to drive solutioning of business problems. Developing end to end analytical solutions, and articulating insights to leadership. Provide data-driven recommendations to business by clearly articulating complex modeling concepts through generation and delivery of presentations. Analyzing and model both structured and unstructured data from a number of distributed client and publicly available sources. Assisting with the mentorship and development of Junior members. Drive team towards solutions. Assisting in growing data science practice in Verizon, by meeting business goals through client prospecting, responding to model POC, identifying and closing opportunities within identified Insights, writing white papers, exploring new tools and defining best practices. What We’re Looking For... You have strong ML/NLP/GenAI skills and are eager to work in a collaborative environment with global teams to drive NLP/GenAI application in business problems. You work independently and are always willing to learn new technologies. You thrive in a dynamic environment and are able to interact with various stakeholders and cross functional teams to implement data science driven business solutions. You take pride in your role as a data scientist and evangelist and enjoy adding to the systems, concepts and models that enrich the practice. You enjoy mentoring and empowering the team to expand their technical capabilities. You’ll Need To Have Bachelor’s degree or four or more years of work experience. Six or more years of work experience. Data Scientist and thought leader with experience in implementing production use cases in Gen AI and Cognitive. Ten or more years of hands-on experience on implementation of large-scale NLP Projects and Fine tuning & Evaluation of LLMs for downstream tasks such as text generation, Classification, summarization, question answering, entity extraction etc. Working knowledge of Agentic AI frameworks like LangChain, LangGraph, CrewAI etc. Ability to guide the team to correctly analyze cognitive insights and leverage unstructured conversational data to create transformative, intelligent, context aware and adaptive AI systems. Experience in Machine Learning, Deep Learning model development & deployment from scratch in Python. Working knowledge of NLP frameworks and libraries like NLTK, Spacy, Transformers, Pytorch, Tensorflow, hugging face API's. Working knowledge of various supervised and unsupervised ML algorithms. Should know the various data preprocessing techniques and its impact on algorithm's accuracy, precision and recall. Knowledge & Implementation Experience of Deep Learning i.e Convolutional Neural Nets (CNN), Recursive Neural Nets (RNN) & Long Short-Term Memory (LSTM), Generative Adversarial Networks (GAN), Deep Reinforcement Learning. Experience with RESTful, JSON API services. Working knowledge on Word embeddings, TF-IDF, Tokenization, N-Grams, Stemmers, lemmatization, Part of speech tagging, entity resolution, ontology, lexicology, phonetics, intents, entities, and context. Experience in analyzing Live Chat/call conversation with agents. Expertise in Python, Sql, PySpark, Scala and/or other languages and tools. Understanding of validation framework for generative model output and perspective on future ready systems to scale validation. Familiarity with GPU/CPU architecture and distributed computing and general infra needs to scale Gen AI models Ability to provide technical thought leadership on model architecture, delivery, monitoring, measurement and model lifecycle best practices. Even better if you have one or more of the following: Phd or an advanced degree or specialization in Artificial Intelligence If Verizon and this role sound like a fit for you, we encourage you to apply even if you don’t meet every “even better” qualification listed above. Where you’ll 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. Show more Show less

At PwC, our people in data and analytics focus on leveraging data to drive insights and make informed business decisions. They utilise advanced analytics techniques to help clients optimise their operations and achieve their strategic goals. In data analysis at PwC, you will focus on utilising advanced analytical techniques to extract insights from large datasets and drive data-driven decision-making. You will leverage skills in data manipulation, visualisation, and statistical modelling to support clients in solving complex business problems. Years of Experience: Candidates with 12+ years of hands on experience Position: Senior Manager Required Skills: Successful candidates will have demonstrated the following skills and characteristics: Must Have Deep expertise in AI/ML solution design, including supervised and unsupervised learning, deep learning, NLP, and optimization. Strong hands-on experience with ML/DL frameworks like TensorFlow, PyTorch, scikit-learn, H2O, and XGBoost. Solid programming skills in Python, PySpark, and SQL, with a strong foundation in software engineering principles. Proven track record of building end-to-end AI pipelines, including data ingestion, model training, testing, and production deployment. Experience with MLOps tools such as MLflow, Airflow, DVC, and Kubeflow for model tracking, versioning, and monitoring. Understanding of big data technologies like Apache Spark, Hive, and Delta Lake for scalable model development. Expertise in AI solution deployment across cloud platforms like GCP, AWS, and Azure using services like Vertex AI, SageMaker, and Azure ML. Experience in REST API development, NoSQL database design, and RDBMS design and optimizations. Familiarity with API-based AI integration and containerization technologies like Docker and Kubernetes. Proficiency in data storytelling and visualization tools such as Tableau, Power BI, Looker, and Streamlit. Programming skills in Python and either Scala or R, with experience using Flask and FastAPI. Experience with software engineering practices, including use of GitHub, CI/CD, code testing, and analysis. Proficient in using AI/ML frameworks such as TensorFlow, PyTorch, and SciKit-Learn. Skilled in using Apache Spark, including PySpark and Databricks, for big data processing. Strong understanding of foundational data science concepts, including statistics, linear algebra, and machine learning principles. Knowledgeable in integrating DevOps, MLOps, and DataOps practices to enhance operational efficiency and model deployment. Experience with cloud infrastructure services like Azure and GCP. Proficiency in containerization technologies such as Docker and Kubernetes. Familiarity with observability and monitoring tools like Prometheus and the ELK stack, adhering to SRE principles and techniques. Cloud or Data Engineering certifications or specialization certifications (e.g. Google Professional Machine Learning Engineer, Microsoft Certified: Azure AI Engineer Associate – Exam AI-102, AWS Certified Machine Learning – Specialty (MLS-C01), Databricks Certified Machine Learning) Nice To Have Experience implementing generative AI, LLMs, or advanced NLP use cases Exposure to real-time AI systems, edge deployment, or federated learning Strong executive presence and experience communicating with senior leadership or CXO-level clients Roles And Responsibilities Lead and oversee complex AI/ML programs, ensuring alignment with business strategy and delivering measurable outcomes. Serve as a strategic advisor to clients on AI adoption, architecture decisions, and responsible AI practices. Design and review scalable AI architectures, ensuring performance, security, and compliance. Supervise the development of machine learning pipelines, enabling model training, retraining, monitoring, and automation. Present technical solutions and business value to executive stakeholders through impactful storytelling and data visualization. Build, mentor, and lead high-performing teams of data scientists, ML engineers, and analysts. Drive innovation and capability development in areas such as generative AI, optimization, and real-time analytics. Contribute to business development efforts, including proposal creation, thought leadership, and client engagements. Partner effectively with cross-functional teams to develop, operationalize, integrate, and scale new algorithmic products. Develop code, CI/CD, and MLOps pipelines, including automated tests, and deploy models to cloud compute endpoints. Manage cloud resources and build accelerators to enable other engineers, with experience in working across two hyperscale clouds. Demonstrate effective communication skills, coaching and leading junior engineers, with a successful track record of building production-grade AI products for large organizations. Professional And Educational Background BE / B.Tech / MCA / M.Sc / M.E / M.Tech /Master’s Degree /MBA from reputed institute Show more Show less