4499 Tensorflow Jobs - Page 45

Job Title - S&C Global Network - AI - CMT – AI ML Consultant Management Level: 9- Consultant Location: Open Must-have skills: Gen AI ML Good to have skills: Ability to leverage design thinking, business process optimization, and stakeholder management skills. Job Summary This role involves driving strategic initiatives, managing business transformations, and leveraging industry expertise to create value-driven solutions. Roles & Responsibilities Provide strategic advisory services, conduct market research, and develop data-driven recommendations to enhance business performance. WHAT’S IN IT FOR YOU? Accenture has committed to invest USD 3Billion into GenAI in the next 3 years. We will continually invest in your learning and growth. You'll work with Accenture’s highly skilled and experienced practitioners, and Accenture will support you in growing your own career path and interests. You’ll be part of a diverse, vibrant, global Accenture Data and AI community, continually pushing the boundaries of business capabilities. ML Maturity Assessment What you would do in this role Conduct comprehensive assessments of the organization's ML maturity, identifying strengths, weaknesses, and areas for improvement. Provide strategic recommendations to enhance the overall ML capability and align it with business objectives. ML Ops Roadmap & Processes Develop ML Ops roadmaps and establish robust processes for the end-to-end machine learning lifecycle, including data preparation, model training, deployment, and monitoring. Implement best practices in ML Ops to ensure efficiency, scalability, and reliability of ML systems. Implementation Of Gen AI Solutions Lead the design and implementation of state-of-the-art Generative AI solutions, leveraging deep learning frameworks such as TensorFlow and PyTorch. Drive innovation in Gen AI, staying abreast of the latest advancements and incorporating cutting-edge technologies into solutions. Incubating And Designing Proactively identify opportunities for ML and / or Gen AI applications within the organization. Work closely with cross-functional teams to incubate and design bespoke ML solutions tailored to business requirements. Technical Leadership Provide technical leadership and mentorship to data scientists, engineers, and other team members. Collaborate with stakeholders to ensure alignment between technical solutions and business objectives. Collaboration And Communication Collaborate with business stakeholders to understand their needs and translate them into ML and Gen AI requirements. Effectively communicate complex technical concepts to non-technical audiences. Professional & Technical Skills Relevant experience in the required domain. Strong analytical, problem-solving, and communication skills. Ability to work in a fast-paced, dynamic environment. Proven expertise in conducting ML maturity assessments and developing ML Ops roadmaps. Hands-on experience in operationalizing the Machine learning system on a cloud and / or an On-Prem platform. Experience in implementing Generative AI solutions, including incubation, design, and deployment will be a big plus. Proficiency in deep learning frameworks such as TensorFlow and PyTorch. Good knowledge of ML Ops best practices and processes. Excellent problem-solving skills and ability to design scalable and reliable ML architectures. Strong leadership and communication skills, with a track record of leading successful ML initiatives. Experience in Telecom or Hi Tech or Software and platform industry desirable Tools & Techniques: TensorFlow, PyTorch, Scikit-learn, Keras NumPy, Pandas Matplotlib, Seaborn TensorFlow Serving, Docker and Kubernetes Good software engineering practices, including code modularization, documentation, and testing. Experience with open API , Integration architecture , microservices Additional Information Opportunity to work on innovative projects. Career growth and leadership exposure. About Our Company | Accenture Show more Show less

Who We Are Balbix is the world's leading platform for cybersecurity posture automation. Using Balbix, organizations can discover, prioritize and mitigate unseen risks and vulnerabilities at high velocity. With seamless data collection and petabyte-scale analysis capabilities, Balbix is deployed and operational within hours, and helps to decrease breach risk immediately. Balbix counts many global 1000 companies among its rapidly growing customer base . We are backed by John Chambers (the former CEO and Chairman of Cisco) , top Silicon Valley VCs and global investors . We have been called magical , and have received raving reviews as well as customer testimonials , numerous industry awards , and recognition by Gartner as a Cool Vendor , and by Frost & Sullivan . DATA SCIENCE AT BALBIX At Balbix we believe in using the right algorithms and tools to ensure correctness, performance and deliver an excellent user experience. We draw boldly from the latest in AI/ML research but are unafraid to go beyond Bayesian inference and statistical models if the situation demands it. We are generalists, caring as much about storytelling with data, as about bleeding edge techniques, scalable model training and deployment. We are building a data science culture with equal emphasis on knowing our data, grokking security-first principles, caring about customer needs, explaining our model predictions, deploying at scale, communicating our work, and adapting the latest advances. We look out for each other, enjoy each others’ company, and keep an open channel of communication about all things data and non-data. This role is open for Bengaluru/Gurugran. You Will Design and develop an ensemble of classical and deep learning algorithms for modeling complex interactions between people, software, infrastructure and policies in an enterprise environment Design and implement algorithms for statistical modeling of enterprise cybersecurity risk Apply data-mining, AI and graph analysis techniques to address a variety of problems including modeling, relevance and recommendation Build production quality solutions that balance complexity and performance Participate in the engineering life-cycle at Balbix, including designing high quality ML infrastructure and data pipelines, writing production code, conducting code reviews and working alongside our infrastructure and reliability teams Drive the architecture and the usage of open source software library for numerical computation such as TensorFlow, PyTorch, and ScikitLearn You Are Able to take on very complex problems, learn quickly, iterate, and persevere towards a robust solution Product-focused and passionate about building truly usable systems Collaborative and comfortable working across teams including data engineering, front end, product management, and DevOps Responsible and like to take ownership of challenging problems A good communicator, and facilitate teamwork via good documentation practices Comfortable with ambiguity and thrive in designing algorithms for evolving needs Intuitive in using the right type of models to address different product needs Curious about the world and your profession, constant learner You Have A Ph.D. in Computer Science and Engineering or related field 3+ years of experience in the field of Machine Learning, programming in Python, and building scalable distributed systems Foundational knowledge of probability, statistics and linear algebra Expertise in state-of-the-art AI algorithms such as deep-learning, NLP, probabilistic graphical models, graphical algorithms, reinforcement learning and time-series analysis Knowledge of statistical analysis and modeling techniques, and model explainability Life @ Balbix At Balbix, we have built a culture that aligns to our values of ownership, customer focus, curiosity, tenacity, innovation, judgement, teamwork, communication, honesty and impact. In joining our team you’ll work with very motivated and knowledgeable people, build pioneering products and utilize cutting-edge technology. Our Balbix team members see rapid career growth opportunities stemming from our culture of alignment, bottom up innovation, our clarity of goals and unrelenting mission. Last but not least, developing the world's most advanced platform to address what the most important (and hardest) technology problem facing mankind today is exceptionally rewarding! More information at https://www.balbix.com/company/careers/ Please reach out if you want a seat on our rocket-ship and are passionate about changing the cybersecurity equation. Show more Show less

About the Job We are seeking a highly skilled AI/ML Engineer with expertise in AWS AI/ML services and a strong understanding of Generative AI using Amazon Bedrock. The ideal candidate will have experience in building, deploying, and optimizing AI/ML models on AWS, integrating LLMs into applications, and leveraging AWS services for scalable AI solutions. Experience Required - 4+ years Key Responsibilities Design, develop, and deploy AI/ML models on AWS, leveraging SageMaker, Bedrock, and related services. Build LLM-based applications using Amazon Bedrock and fine-tune models for specific use cases. Implement RAG (Retrieval-Augmented Generation) and integrate vector databases like OpenSearch, Pinecone, or FAISS. Develop scalable, production-ready ML pipelines using AWS services (Lambda, Step Functions, S3, DynamoDB, etc.). Utilize Bedrock, SageMaker, and custom fine-tuned models to deliver business-driven AI solutions. Work with cross-functional teams to integrate ML models into real-world applications. Ensure AI solutions adhere to best practices for security, compliance, and cost optimization. Stay updated with the latest trends in GenAI, prompt engineering, and AI model optimization. Required Skills Strong expertise in AWS AI/ML stack – Amazon Bedrock, SageMaker, Lambda, Step Functions, S3, DynamoDB, etc. Experience with Generative AI models (GPT, Claude, Mistral, LLaMA, etc.) and fine-tuning techniques. Hands-on experience in Python, TensorFlow, PyTorch, or Hugging Face. Knowledge of vector databases and embedding models. Experience in building secure and scalable AI applications using AWS. Familiarity with MLOps practices, CI/CD for ML models, and cloud automation. Strong problem-solving skills and ability to work in a fast-paced environment. Good to Have Experience with LangChain, Prompt Engineering, and RAG techniques. Understanding of data governance, AI ethics, and responsible AI practices. Certification in AWS Machine Learning Specialty/ Associate or relevant AI certifications. Relevant Skills vector databases, models, mlops, ml, pytorch, s3, lambda, tensorflow, ci/cd, amazon Show more Show less

Role & responsibilities Job Description Job Overview We are seeking an experienced AI/ML Consultant with 8-12 years of experience to lead the design, development, and deployment of AI and Machine Learning solutions for enterprise-level projects. The ideal candidate will have strong expertise in deep learning, machine learning algorithms, cloud AI services, and MLOps, with a focus on solving real-world business challenges using AI. Key Responsibilities AI/ML Strategy & Consulting • Work closely with stakeholders to understand business challenges and identify opportunities where AI/ML can drive value. • Develop AI/ML roadmaps, proof-of-concept models, and scalable AI strategies. • Advise on AI governance, model explainability, and ethical AI practices. Model Development & Deployment • Design, build, and optimize machine learning models for classification, regression, NLP, computer vision, and recommendation systems. • Implement and fine-tune deep learning architectures (CNNs, RNNs, Transformers). • Work with large-scale datasets for feature engineering, data preprocessing, and model training. • Deploy models using MLOps best practices, ensuring efficient monitoring, retraining, and lifecycle management. Large Language Model (LLM) Development & AI Agents • Fine-tune, train, and deploy LLMs (GPT-4, LLaMA, Mistral, Falcon, Claude, Gemini) for chatbots, knowledge management, and intelligent automation. • Implement Retrieval-Augmented Generation (RAG) to improve response accuracy and integrate knowledge bases. • Develop AI Agents that can handle complex workflows, automate customer interactions, and execute multi-step reasoning. • Experiment with multi-modal AI (text, image, and video) for industry-specific use cases. Technical Leadership & Innovation • Lead AI/ML teams in building scalable solutions using Python, TensorFlow, PyTorch, and cloud platforms (AWS/GCP/Azure). • Stay up to date with AI research and recommend cutting-edge solutions for business applications. • Implement best practices in model interpretability, fairness, and bias mitigation. Collaboration & Knowledge Sharing • Work with cross-functional teams, including data engineers, software developers, and business analysts, to integrate AI models into production systems. • Mentor junior AI engineers and provide technical guidance on ML frameworks and architectures. • Conduct workshops and knowledge-sharing sessions on AI trends and best practices. Mandatory Qualifications Preferred Qualifications: • Masters or Ph.D. in Computer Science, AI/ML, Data Science, or related fields. • Experience with generative AI models/LLMs • AI certifications from AWS, Google, or Microsoft. Mandatory Skills Required Qualifications & Skills Technical Skills: • Programming: Python, R, SQL, Java (optional). • ML Frameworks: TensorFlow, PyTorch, Scikit-learn, XGBoost. • Data Handling: Pandas, NumPy, Spark, Snowflake. • MLOps & Deployment: Docker, Kubernetes, MLflow, TensorFlow Serving, FastAPI. • Cloud Services: AWS (SageMaker, Lambda, S3), GCP (Vertex AI), Azure (ML Studio). • LLMs & Generative AI: GPT-4, LLaMA, Claude, Gemini, Mistral, Falcon. • NLP & Transformers: Hugging Face, LangChain, OpenAI API, Sentence Transformers. • Vector Search & RAG: FAISS, ChromaDB, Pinecone, Weaviate Soft Skills: • Strong analytical and problem-solving abilities. • Ability to communicate complex AI concepts to non-technical stakeholders. • Experience working in agile environments. • Ability to lead AI initiatives and mentor teams. Desirable Skills Required Qualifications & Skills Technical Skills: • Programming: Python, R, SQL, Java (optional). • ML Frameworks: TensorFlow, PyTorch, Scikit-learn, XGBoost. • Data Handling: Pandas, NumPy, Spark, Snowflake. • MLOps & Deployment: Docker, Kubernetes, MLflow, TensorFlow Serving, FastAPI. • Cloud Services: AWS (SageMaker, Lambda, S3), GCP (Vertex AI), Azure (ML Studio). • LLMs & Generative AI: GPT-4, LLaMA, Claude, Gemini, Mistral, Falcon. • NLP & Transformers: Hugging Face, LangChain, OpenAI API, Sentence Transformers. • Vector Search & RAG: FAISS, ChromaDB, Pinecone, Weaviate Soft Skills: • Strong analytical and problem-solving abilities. • Ability to communicate complex AI concepts to non-technical stakeholders. • Experience working in agile environments. • Ability to lead AI initiatives and mentor teams. Preferred candidate profile

Job Responsibilities: Evaluate and source appropriate cloud infrastructure solutions for machine learning needs, ensuring cost-effectiveness and scalability based on project requirements. Automate and manage the deployment of machine learning models into production environments, ensuring version control for models and datasets using tools like Docker and Kubernetes. Set up monitoring tools to track model performance and data drift, conduct regular maintenance, and implement updates for production models. Work closely with data scientists, software engineers, and stakeholders to align on project goals, facilitate knowledge sharing, and communicate findings and updates to cross-functional teams. Design, implement, and maintain scalable ML infrastructure, optimizing cloud and on-premise resources for training and inference. Document ML processes, pipelines, and best practices while preparing reports on model performance, resource utilization, and system issues. Provide training and support for team members on ML Ops tools and methodologies, and stay updated on industry trends and emerging technologies. Diagnose and resolve issues related to model performance, infrastructure, and data quality, implementing solutions to enhance model robustness and reliability. Education, Technical Skills & Other Critical Requirement: 10+ years of relevant experience in AI/ analytics product & solution delivery Bachelor’s/master’s degree in an information technology/computer science/ Engineering or equivalent fields experience. Proficiency in frameworks such as TensorFlow, PyTorch, or Scikit-learn. Strong skills in Python and/or R; familiarity with Java, Scala, or Go is a plus. Experience with cloud services such as AWS, Azure, or Google Cloud Platform, particularly in ML services (e.g., AWS SageMaker, Azure ML). CI/CD tools (e.g., Jenkins, GitLab CI), containerization (e.g., Docker), and orchestration (e.g., Kubernetes). Experience with databases (SQL and NoSQL), data pipelines, ETL processes, ML pipeline orchestration (Airflow) Familiarity with monitoring and logging tools such as Prometheus, Grafana, or ELK stack. Proficient in using Git for version control. Strong analytical and troubleshooting abilities to diagnose and resolve issues effectively. Good communication skills for working with cross-functional teams and conveying technical concepts to non-technical stakeholders. Ability to manage multiple projects and prioritize tasks in a fast-paced environment. Show more Show less

About the Role We are hiring an AI/ML Engineer based in India. You will help design, develop, optimize, and deploy a multimodal AI models for eye disease screening using image and tabular/textual data. You will collaborate closely with AI researchers, engineers, and product teams to build and translate cutting-edge models. This is an opportunity to work at the frontier of clinical AI with purpose-driven colleagues and powerful social impact. Job Type: Full-Time, Remote Start Date: Immediate Compensation: 35-50 lakh INR, commensurate with experience Responsibilities Design and implement multimodal deep learning models combining image encoders and language models. Train, fine-tune, and optimize models using annotated eye images and structured clinical data. Implement instruction-tuned outputs for diagnosis, referral decisions, and patient counseling in English, Hindi, and Tamil. Optimize inference performance using quantization, pruning, and model distillation for deployment on smartphones or edge devices. Work with mobile and backend engineers to integrate models with our telemedicine app and cloud-based infrastructure. Contribute to model evaluation across clinical sites using real-world patient data to measure accuracy, bias, and latency. Support development of responsible AI pipelines: privacy, bias mitigation, versioning, and drift detection. Qualifications Must-Have: Bachelor’s or Master’s degree in Computer Science, AI, Biomedical Engineering, or related field. 4+ years of experience with deep learning framework (Master’s degree can substitute for experience). Hands-on experience training or fine-tuning transformer models (e.g., LLaMA, T5, GPT). Hands-on experience working with vision models (CNNs, ViTs) Fluency with version control (Git), collaborative workflows, and cloud-based development. Passion for using AI in global health or social impact domains. Preferred: Experience with multimodal fusion techniques (cross-attention, late fusion, MLP). Experience implementing or optimizing Retrieval-Augmented Generation (RAG) pipelines for domain-specific applications (e.g., medical QA, knowledge-grounded generation). Experience working with multilingual NLP/NLG (especially Hindi and Tamil). Prior work with model optimization for edge deployment using ONNX, Core ML, TensorFlow Lite, or quantized PyTorch models, or knowledge of hybrid cloud/on-device design. Proven ability to mentor junior engineers and foster a culture of technical growth and collaboration. Strong written and verbal communication skills with cross-functional stakeholders (e.g., product, clinical, design) Why Join Us Work on a mission-driven project with real clinical impact across underserved communities in India. Flexibility to work remotely while contributing to a globally recognized AI/health project. ( Note : Must be available for 2–3 regularly scheduled Zoom meetings per week and one in-person week per year.) Join a startup-minded team with stable long-term partnerships and funding. Apply here: https://www.visilant.org/careers/aiml-engineer-india-job-post Note: Applications through LinkedIn will not be reviewed. About Visilant: Visilant is a digital health social enterprise spun out of Johns Hopkins University. Visilant builds smartphone-based imaging, telemedicine, and artificial intelligence to empower non-eye care specialists to screen patients leading causes of blindness. Visilant has already screened over 30,000 patients in partnership with the largest eye care systems in India Show more Show less

AI/ML Engineer – Monkify.ai 📍 **Location: Remote 💼 Experience: 3+ years 🚀 Type: Full-time Budget:- 5lpa to 12LPA Max ### About Monkify.ai Monkify.ai is revolutionizing the recruitment industry with cutting-edge AI-powered solutions. We are building a next-gen hiring platform that bridges the gap between recruiters and top talent using intelligent job-candidate matching, real-time analytics, and seamless communication tools. We are looking for a passionate AI/ML Engineer to join our team and help shape the future of AI-driven recruitment! If you thrive in a fast-paced environment and love solving complex AI challenges, this role is for you. ### Responsibilities: 🔹 Design, develop, and optimize NLP-based models for job-candidate matching 🔹 Implement machine learning algorithms for ranking, recommendation, and skill extraction 🔹 Work with large-scale datasets to train and fine-tune AI models 🔹 Collaborate with backend engineers to integrate AI models into the Monkify.ai platform 🔹 Research and experiment with BERT, DistilBERT, spaCy, and TF-IDF for candidate-job profile matching 🔹 Optimize AI models for scalability, accuracy, and low latency 🔹 Monitor AI/ML performance and improve models based on user feedback and real-world usage ### Requirements: ✅ 2+ years of experience in AI/ML, NLP, or Data Science ✅ Proficiency in Python, TensorFlow, PyTorch, or scikit-learn ✅ Strong understanding of NLP techniques, deep learning, and machine learning pipelines ✅ Experience with vector embeddings, semantic search, and LLM fine-tuning ✅ Knowledge of AWS/GCP AI services for model deployment is a plus ✅ Ability to work independently and in a fast-moving startup environment Skills:- Fine-tune a BERT-based model for a chatbot LLM, Hugging Face and API Integration(Fast/Flask& Django), knowledge into AWS Show more Show less

About us: Headquartered in the Silicon Valley with offices in London, Hyderabad and Singapore, Accellor is a Microsoft Gold Partner and a premier Salesforce Partner that uses best-of-breed cloud technology to deliver superior customer engagement and business effectiveness for clients. We bring a deep understanding of Financial, Retail, High Tech, Healthcare, and Retail industries, rolling out end-to-end implementation of salesforce.com and powerful third-party apps. We also build products that are sold on the AppExchange and used by both boutique businesses and Fortune 500 companies. Accellor has been honored with the prestigious " Company of the Year" award for "excellence in IT Services " at the Indo Global Business Excellence Awards. Majority of our team members based at Hyderabad, delivering best of breed cloud solutions to customers in the US, UK and APAC region. We've created an atmosphere that encourages curiosity, constant learning, and persistence. We encourage our employees to grow and explore their interests. We cultivate an environment of collaboration, autonomy and delegation - we know our people have a strong work ethic and a sense of pride and ownership over their work. They are passionate, eager, and motivated - focused on building the perfect solution but never losing sight of the bigger picture. Role Summary: The Trainee Data & AI Engineer will work closely with our data science and engineering teams to develop and deploy AI models that can simulate human intelligence processes. This role is ideal for individuals who are passionate about AI and machine learning and are eager to gain hands-on experience. Key Responsibilities: Assist in designing and developing AI models and algorithms from scratch. Implement AI solutions that integrate with existing business systems to enhance functionality and user interaction Manage the data flow and infrastructure for effective AI deployment. Collaborate across teams to align AI initiatives with organizational goals. Stay current with AI trends and suggest improvements to existing systems and workflows Requirements Degree in Computer Science, Engineering, or a related field (2023, 2024 & 2025 pass outs only) Basic understanding of machine learning, deep learning, NLP, and computer vision. Familiarity with programming languages such as Python, Java, and R. Knowledge of AI frameworks such as TensorFlow or PyTorch is advantageous. Knowledge on databases and SQL Strong problem-solving skills and ability to work in a team environment. Candidates will have to undergo a 4-step interview process that includes: Online technical test, Group discussion, Technical discussion and Managerial interview. Selected candidates from Online test will be invited to our Hyderabad office for further process with short notice. Note: All the communications regarding the process will be communicated through E-mails. Request you to check your mails regularly and be updated. Virtual / Remote interviews and reschedules will not be entertained. Benefits Exciting Projects: We focus on industries like High-Tech, communication, media, healthcare, retail and telecom. Our customer list is full of fantastic global brands and leaders who love what we build for them. Collaborative Environment: You Can expand your skills by collaborating with a diverse team of highly talented people in an open, laidback environment — or even abroad in one of our global centres. Work-Life Balance: Accellor prioritizes work-life balance, which is why we offer flexible work schedules, opportunities to work from home, and paid time off and holidays. Professional Development: Our dedicated Learning & Development team regularly organizes Communication skills training, Stress Management program, professional certifications, and technical and soft skill trainings. Excellent Benefits: We provide our employees with competitive salaries, family medical insurance, Personal Accident Insurance, Periodic health awareness program, extended maternity leave, annual performance bonuses, and referral bonuses Show more Show less

Job Title: Full Stack Developer Generative AI Range: 5-10 Years Location: Noida Job Summary We are seeking a Senior Full-Stack Developer to join our Architecture Practice at Xceedance. In this role, you will design and develop AI-powered applications using Python, .NET Core, Angular, and Azure. You will work on integrating AI models, building scalable cloud-native systems, and leveraging tools like GitHub Copilot, Azure Foundry, Agentic frameworks to accelerate development.This is a hands-on role at the intersection of full-stack engineering and AI innovation, including agentic AI, AI-assisted SDLC, and other emerging technologies. Key Responsibilities Full-Stack Development Build scalable backend services using Python and .NET Core (Web APIs, Entity Framework). Develop responsive frontend applications using Angular (13+) and Stream lit for rapid AI tool prototyping. Integrate AI/ML and LLM models into end-to-end application workflows. AI-Driven SDLC Use AI coding assistants like GitHub Copilot or Code Whisperer to enhance development speed and code quality. Automate testing, code analysis, and deployment using CI/CD pipelines and AI tools. Cloud Deployment Deploy and manage applications on Azure (App Services, Functions, Azure SQL, AI Studio). Implement microservices and event-driven architectures in collaboration with solution architects. Collaboration & Leadership Mentor junior developers on AI/ML integration and modern development practices. Contribute to architectural decisions and technical strategy. Required Skills & Qualifications 5-8 years of experience in web-based application development. Mandatory 5+ years of full-stack development experience with Python and .NET Core. 3+ years of frontend development using Angular, TypeScript, and RxJS. Hands-on experience integrating AI/ML models (e.g., scikit-learn, PyTorch) into production applications. Proficiency in Azure cloud services (App Services, Functions, Azure SQL). Preferred Experience with AI coding tools like GitHub Copilot or CodeWhisperer. Familiarity with Streamlit for AI/ML UI prototyping. Knowledge of Azure Machine Learning, LLM fine-tuning (e.g., GPT, Claude). DevOps skills: CI/CD, Docker, Infrastructure as Code (IaC). Education and Experience Bachelors degree in computer science, Engineering, or a related field (or equivalent practical experience). 58 years of hands-on development experience, including 2+ years in AI/ML projects. Portfolio or GitHub showcasing work in Python, .NET, Angular, and AI/ML (preferred).

Company Description AlgoEdge is a quantitative research firm that provides innovative trading solutions to investment managers such as hedge funds and family offices. Our proprietary strategies cover multiple asset classes and are designed to be market-neutral. We emphasize innovation and precision, rigorously back-testing and live testing our strategies to ensure optimal performance. ML/AI Quant Internships at AlgoEdge – Gurgaon Office Are you passionate about Machine Learning, AI, and Financial Markets ? Do you want to build real trading strategies , not just theoretical models? At AlgoEdge , we're building India's next-gen quant trading and analytics platform , leveraging multi-factor models, AI, and big data to outperform global markets. 👉 We’re currently hiring 2 interns / junior quant researchers to join our core team at Gurgaon. 🔬 What You'll Work On: ✔ Build predictive ML models for alpha generation ✔ Enhance execution logic using reinforcement learning & NLP ✔ Backtest strategies using large-scale tick and alt-data ✔ Work closely with experienced quants and traders in a collaborative, high-impact environment 🎓 Who Should Apply: BTech/MSc/PhD candidates from top institutes (IITs, BITS, ISI, etc.) or equivalent research experience Strong skills in Python, NumPy/pandas, TensorFlow/PyTorch Background in Statistics, Mathematics, Computer Science, or Engineering Curiosity for markets and a passion for solving complex problems with data Strong team spirit and a willingness to learn in a fast-paced, startup environment ✨ Why AlgoEdge? ✅ Paid internship with industry-best compensation ✅ Potential fast-track to full-time role ✅ Learn from seasoned quants ✅ Flat structure with daily exposure to real trading decisions ✅ Work on actual strategies deployed in live markets 📍 Location: Gurgaon Apply: https: docs.google.com/forms/d/1FEZgxujENiY_sO9CrmX2T52QxeISVZsbGw61DL3Mk-A/edit Show more Show less

Job Description: We are seeking a talented and experienced Data Scientist to join our dynamic team. The ideal candidate will have a strong background in data analysis, machine learning, statistical modeling, and artificial intelligence. Experience with Natural Language Processing (NLP) is desirable. Experience delivering products that incorporate AI/ML, familiarity with Cloud Services such as AWS highly desirable. Required Skills/Qualifications : - 3-12 years of experience in AI/ML related work - Extensive experience in Python - Familiarity with Statistical models such as Linear/Logistic regression, Bayesian Models, Classification/Clustering models, Time Series analysis - Experience with deep learning models such as CNNs, RNNs, LSTM, Transformers - Experience with machine learning frameworks such as TensorFlow, PyTorch, Scikit-learn, Keras - Experience with GenAI, LLMs, RAG architecture would be a plus - Familiarity with cloud services such as AWS, Azure - Familiarity with version control systems (e.g., Git), JIRA, Confluence - Familiarity with MLOPs concepts, AI/ML pipeline tooling such as Kedro - Knowledge of CI/CD pipelines and DevOps practices - Experience delivering customer facing AI Solutions delivered as SaaS would be a plus - Bachelor's degree in Computer Science, Engineering, or a related field, or equivalent practical experience. - Strong problem-solving skills and attention to detail - Excellent verbal and written communication and teamwork skills

Project Role : AI / ML Engineer Project Role Description : Develops applications and systems that utilize AI tools, Cloud AI services, with proper cloud or on-prem application pipeline with production ready quality. Be able to apply GenAI models as part of the solution. Could also include but not limited to deep learning, neural networks, chatbots, image processing. Must have skills : Data Science Good to have skills : NA Minimum 5 Year(s) Of Experience Is Required Educational Qualification : 15 years full time education Summary: As an AI / ML Engineer, you will engage in the development of applications and systems that leverage artificial intelligence tools and cloud AI services. Your typical day will involve designing and implementing production-ready solutions, ensuring that they meet quality standards. You will work with various AI models, including generative AI, deep learning, and neural networks, while also exploring innovative applications such as chatbots and image processing. Collaboration with cross-functional teams will be essential to integrate these advanced technologies into existing systems and workflows, driving efficiency and enhancing user experiences. Roles & Responsibilities: - Expected to be an SME. - Collaborate and manage the team to perform. - Responsible for team decisions. - Engage with multiple teams and contribute on key decisions. - Provide solutions to problems for their immediate team and across multiple teams. - Mentor junior team members to enhance their skills and knowledge in AI and machine learning. - Continuously evaluate and implement new technologies to improve system performance and efficiency. Professional & Technical Skills: - Must To Have Skills: Proficiency in Data Science. - Good To Have Skills: Experience with machine learning frameworks such as TensorFlow or PyTorch. - Strong understanding of data analysis and statistical modeling techniques. - Experience in deploying AI models in cloud environments like AWS, Azure, or Google Cloud. - Familiarity with data preprocessing and feature engineering techniques. Additional Information: - The candidate should have minimum 5 years of experience in Data Science. - This position is based at our Bengaluru office. - A 15 years full time education is required. Show more Show less

WhizzHR is hiring Media Solution Architect – AI/ML & Automation Focus Role Summary: We are seeking a Media Solution Architect to lead the strategic design of AI-driven and automation-centric solutions across digital media operations. This role involves architecting intelligent, scalable systems that enhance efficiency across campaign setup, trafficking, reporting, QA, and billing processes. The ideal candidate will bring a strong blend of automation, AI/ML, and digital marketing expertise to drive innovation and operational excellence. Key Responsibilities: Identify and assess opportunities to apply AI/ML and automation across media operations workflows (e.g., intelligent campaign setup, anomaly detection in QA, dynamic taxonomy validation). Design scalable, intelligent architectures using a combination of machine learning models, RPA, Python-based automation, and media APIs (e.g., Meta, DV360, YouTube). Develop or integrate machine learning models for use cases such as performance prediction, media mix modeling, and anomaly detection in reporting or billing. Ensure adherence to best practices in data governance, compliance, and security, particularly around AI system usage. Partner with business stakeholders to prioritize high-impact AI/automation use cases and define clear ROI and success metrics. Stay informed on emerging trends in AI/ML and translate innovations into actionable media solutions. Ideal Profile: 7+ years of experience in automation, AI/ML, or data science, including 3+ years in marketing, ad tech, or digital media. Strong understanding of machine learning frameworks for predictive modeling, anomaly detection, and NLP-based insight generation. Proficiency in Python and libraries such as scikit-learn, TensorFlow, pandas, or PyTorch. Experience with cloud-based AI platforms (e.g., Google Vertex AI, Azure ML, AWS Sagemaker) and media API integrations. Ability to architect AI-enhanced automations that improve forecasting, QA, and decision-making in media operations. Familiarity with RPA tools (e.g., UiPath, Automation Anywhere); AI-first automation experience is a plus. Demonstrated success in developing or deploying ML models for campaign optimization, fraud detection, or process intelligence. Familiarity with digital media ecosystems such as Google Ads, Meta, TikTok, DSPs, and ad servers. Excellent communication and stakeholder management skills, with the ability to translate technical solutions into business value. Kindly share your Resume at Hello@whizzhr.com Show more Show less

Project Role : AI / ML Engineer Project Role Description : Develops applications and systems that utilize AI tools, Cloud AI services, with proper cloud or on-prem application pipeline with production ready quality. Be able to apply GenAI models as part of the solution. Could also include but not limited to deep learning, neural networks, chatbots, image processing. Must have skills : Machine Learning Good to have skills : NA Minimum 3 Year(s) Of Experience Is Required Educational Qualification : 15 years full time education Summary: These roles have many overlapping skills with GENAI Engineers and architects. Description may scaleup/scale down based on expected seniority. Roles & Responsibilities: -Implement generative AI models, identify insights that can be used to drive business decisions. Work closely with multi-functional teams to understand business problems, develop hypotheses, and test those hypotheses with data, collaborating with cross-functional teams to define AI project requirements and objectives, ensuring alignment with overall business goals. -Conducting research to stay up-to-date with the latest advancements in generative AI, machine learning, and deep learning techniques and identify opportunities to integrate them into our products and services. -Optimizing existing generative AI models for improved performance, scalability, and efficiency. -Ensure data quality and accuracy -Leading the design and development of prompt engineering strategies and techniques to optimize the performance and output of our GenAI models. -Implementing cutting-edge NLP techniques and prompt engineering methodologies to enhance the capabilities and efficiency of our GenAI models. -Determining the most effective prompt generation processes and approaches to drive innovation and excellence in the field of AI technology, collaborating with AI researchers and developers -Experience working with cloud based platforms (example: AWS, Azure or related) -Strong problem-solving and analytical skills -Proficiency in handling various data formats and sources through Omni Channel for Speech and voice applications, part of conversational AI -Prior statistical modelling experience -Demonstrable experience with deep learning algorithms and neural networks -Developing clear and concise documentation, including technical specifications, user guides, and presentations, to communicate complex AI concepts to both technical and non-technical stakeholders. -Contributing to the establishment of best practices and standards for generative AI development within the organization. Professional & Technical Skills: -Must have solid experience developing and implementing generative AI models, with a strong understanding of deep learning techniques such as GPT, VAE, and GANs. -Must be proficient in Python and have experience with machine learning libraries and frameworks such as TensorFlow, PyTorch, or Keras. -Must have strong knowledge of data structures, algorithms, and software engineering principles. -Must be familiar with cloud-based platforms and services, such as AWS, GCP, or Azure. -Need to have experience with natural language processing (NLP) techniques and tools, such as SpaCy, NLTK, or Hugging Face. -Must be familiar with data visualization tools and libraries, such as Matplotlib, Seaborn, or Plotly. -Need to have knowledge of software development methodologies, such as Agile or Scrum. -Possess excellent problem-solving skills, with the ability to think critically and creatively to develop innovative AI solutions. Additional Information: -Must have a degree in Computer Science, Artificial Intelligence, Machine Learning, or a related field. A Ph.D. is highly desirable. -strong communication skills, with the ability to effectively convey complex technical concepts to a diverse audience. -You possess a proactive mindset, with the ability to work independently and collaboratively in a fast-paced, dynamic environment. Show more Show less

Required Skills Data Science Machine Learning Deep Learning Python NLP statistical exp. Experience in Data Modelling R Python SQL Data Science Machine Learning Deep Learning NLP Statistics Have ability to solve Business problems using Data Should possess extensive knowledge of and experience in applying data mining and machine learning techniques on large amount of datasets High level of proficiency in statistical tools like R Python Candidate will be expected to communicate analytical results in a way that is meaningful for business stakeholders and provides actionable insights. Have the ability to discover new opportunities where advanced analytical techniques can be leveraged for solving business problems

Design and develop Generative AI models for specific business applications. Fine-tune and optimize large language models for performance and accuracy. Build custom pipelines to integrate generative AI into business workflows. Research and implement state-of-the-art techniques in Generative AI. Ensure ethical AI practices and compliance with relevant guidelines. Key Skills: Strong understanding of NLP and Generative AI models like GPT, BERT, or Stable Diffusion. Proficiency in Python and experience with AI frameworks like Hugging Face or OpenAI APIs. Familiarity with prompt engineering and fine-tuning techniques. Excellent collaboration and documentation skills.

Build, deploy, and maintain machine learning models in production. Automate model training, evaluation, and monitoring pipelines. Collaborate with data engineers to ensure the availability of clean, high-quality data. Optimize model performance and computational efficiency. Document ML workflows and processes for scalability and reproducibility. Key Skills: Proficiency in Python, Scala, or Java. Experience with ML tools like TensorFlow, PyTorch, and MLflow. Familiarity with MLOps practices and tools like Docker, Kubernetes, and CI/CD pipelines. Strong problem-solving and analytical skills Machine Learning,Python,Scala,Java

Happiest Minds Technologies Pvt.Ltd is looking for Databricks Professional to join our dynamic team and embark on a rewarding career journey Assessing and analyzing client requirements related to data processing, analytics, and machine learning. Designing and developing data pipelines, workflows, and applications using the Data Bricks platform. Integrating and connecting Data Bricks with other data sources, databases, and tools. Developing and implementing machine learning models using libraries such as Scikit-learn, Tensorflow, and PyTorch. Databricks, Spark, Python, Core ML, Pipeline creation,Airflow, Snowflake

Design, develop, and implement machine learning models and statistical algorithms Analyze large datasets to extract meaningful insights and trends Collaborate with stakeholders to define business problems and deliver data-driven solutions Optimize and scale machine learning models for production environments Present analytical findings and recommendations in a clear, actionable manner Key Skills: Proficiency in Python, R, and SQL Experience with ML libraries like TensorFlow, PyTorch, or Scikit-learn Strong knowledge of statistical methods and data visualization tools Excellent problem-solving and storytelling skills

About Us We are a Platform Engineering company specializing in DevOps, CloudOps, and AIOps, working across various cloud platforms and services. Our team designs and delivers scalable, automated, and resilient cloud-native solutions for enterprises globally. Job description Interested to start your Career as a Senior AI/ML Developer(4+ Year Exp) ? Cloud Control is a forward-thinking IT organization dedicated to delivering cutting-edge solutions and improving the digital landscape. Role Overview: We are seeking a motivated and enthusiastic Senior AI/ML Engineer (4+ Year Exp) to join our growing lowtouch.ai team. The ideal candidate will have a strong interest in machine learning, data science, and AI technologies, and a passion for solving real-world problems using these skills. This is an entry-level role that offers the opportunity to work alongside experienced professionals, build foundational knowledge, and contribute to the development and deployment of AI solutions. Key Responsibilities: Assist in the development, training, and deployment of machine learning models for various business applications. Collaborate with cross-functional teams to understand business requirements and translate them into technical solutions. Perform exploratory data analysis, feature engineering, and data preprocessing to improve model performance. Support in evaluating and selecting appropriate AI/ML algorithms and techniques based on project requirements. Contribute to model testing, validation, and iteration, ensuring alignment with accuracy and performance metrics. Document models, workflows, and code to ensure reproducibility and scalability of AI solutions. Stay up-to-date with the latest advancements in AI/ML technologies, frameworks, and best practices. Qualifications and Skills: Education: Bachelor’s degree in Computer Science, Data Science, Engineering, Mathematics, or a related field. Technical Skills: Basic understanding of machine learning algorithms and concepts (e.g., regression, classification, clustering). Proficiency in programming languages such as Python, R, or similar. Familiarity with machine learning libraries and frameworks (e.g., TensorFlow, PyTorch, Scikit-learn). Knowledge of data preprocessing, feature selection, and model evaluation techniques. Experience with basic data analysis and visualization using tools like Pandas, Matplotlib, or Seaborn. Analytical Skills: Strong problem-solving abilities with attention to detail and accuracy. Communication: Good verbal and written communication skills to effectively collaborate with team members and stakeholders. Passion for Learning: Eagerness to learn and grow in the field of AI/ML and keep up with emerging trends and technologies. Job Type: Full-time Immediate joiners Preffered Show more Show less

We are seeking a talented and motivated Data Scientist with 1-3 years of experience to join our Data Science team. If you have a strong passion for data science, expertise in machine learning, and experience working with large-scale datasets, we want to hear from you. As a Data Scientist at RevX, you will play a crucial role in developing and implementing machine learning models to drive business impact. You will work closely with teams across data science, engineering, product, and campaign management to build predictive models, optimize algorithms, and deliver actionable insights. Your work will directly influence business strategy, product development, and campaign optimization. Major Responsibilities: Develop and implement machine learning models, particularly neural networks, decision trees, random forests, and XGBoost, to solve complex business problems. Work on deep learning models and other advanced techniques to enhance predictive accuracy and model performance. Analyze and interpret large, complex datasets using Python, SQL, and big data technologies to derive meaningful insights. Collaborate with cross-functional teams to design, build, and deploy end-to-end data science solutions, including data pipelines and model deployment frameworks. Utilize advanced statistical techniques and machine learning methodologies to optimize business strategies and outcomes. Evaluate and improve model performance, calibration, and deployment strategies for real-time applications. Perform clustering, segmentation, and other unsupervised learning techniques to discover patterns in large datasets. Conduct A/B testing and other experimental designs to validate model performance and business strategies. Create and maintain data visualizations and dashboards using tools such as matplotlib, seaborn, Grafana, and Looker to communicate findings. Provide technical expertise in handling big data, data warehousing, and cloud-based platforms like Google Cloud Platform (GCP). Required Experience/Skills: Bachelors or Masters degree in Data Science, Computer Science, Statistics, Mathematics, or a related field. 1-3 years of experience in data science or machine learning roles. Strong proficiency in Python for machine learning, data analysis, and deep learning applications. Experience in developing, deploying, and monitoring machine learning models, particularly neural networks, and other advanced algorithms. Expertise in handling big data technologies, with experience in tools such as BigQuery and cloud platforms (GCP preferred). Advanced SQL skills for data querying and manipulation from large datasets. Experience in data visualization tools like matplotlib, seaborn, Grafana, and Looker. Strong understanding of A/B testing, statistical tests, experimental design, and methodologies. Experience in clustering, segmentation, and other unsupervised learning techniques. Strong problem-solving skills and the ability to work with complex datasets and machine learning pipelines. Excellent communication skills, with the ability to explain complex technical concepts to non-technical stakeholders. Preferred Skills: Experience with deep learning frameworks such as TensorFlow or PyTorch. Familiarity with data warehousing concepts and big data tools. Knowledge of MLOps practices, including model deployment, monitoring, and management. Experience with business intelligence tools and creating data-driven dashboards. Understanding of reinforcement learning, natural language processing (NLP), or other advanced AI techniques. Education: Bachelor of Engineering or similar degree from any reputed University.

Research and Problem-Solving: Identify and frame business problems, conduct exploratory data analysis, and propose innovative data science solutions tailored to business needs. Leadership & Communication: Serve as a technical referent for the research team, driving high-impact, high-visibility initiatives. Effectively communicate complex scientific concepts to senior stakeholders, ensuring insights are actionable for both technical and non-technical audiences. Mentor and develop scientists within the team, fostering growth and technical excellence. Algorithm Development: Design, optimize, and implement advanced machine learning algorithms, including neural networks, ensemble models (XGBoost, random forests), and clustering techniques. End-to-End Project Ownership: Lead the development, deployment, and monitoring of machine learning models and data pipelines for large-scale applications. Model Optimization and Scalability: Focus on optimizing algorithms for performance and scalability, ensuring robust, well-calibrated models suitable for real-time environments. A/B Testing and Validation: Design and execute experiments, including A/B testing, to validate model effectiveness and business impat. Big Data Handling: Leverage tools like BigQuery, advanced SQL, and cloud platforms (e.g., GCP) to process and analyze large datasets. Collaboration and Mentorship: Work closely with engineering, product, and campaign management teams, while mentoring junior data scientists in best practices and advanced techniques. Data Visualization: Create impactful visualizations using tools like matplotlib, seaborn, Looker, and Grafana to communicate insights effectively to stakeholders. Required Experience/Skills 5–8 years of hands-on experience in data science or machine learning roles. 2+ years leading data science projects in AdTech Strong hands-on skills in Advanced Statistics, Machine Learning, and Deep Learning. Demonstrated ability to implement and optimize neural networks and other advanced ML models. Proficiency in Python for developing machine learning models, with a strong grasp of TensorFlow or PyTorch. Expertise handling large datasets using advanced SQL and big data tools like BigQuery In-depth knowledge of MLOps pipelines, from data preprocessing to deployment and monitoring. Strong background in A/B testing, statistical analysis, and experimental design. Proven capability in clustering, segmentation, and unsupervised learning methods. Strong problem-solving and analytical skills with a focus on delivering business value. Education: A Master’s in Data Science, Computer Science, Mathematics, Statistics, or a related field is preferred. A Bachelor's degree with exceptional experience will also be considered.

3+ years of experience in data science roles, working with tabular data in large-scale projects. Experience in feature engineering and working with methods such as XGBoost, LightGBM, factorization machines , and similar algorithms. Experience in adtech or fintech industries is a plus. Familiarity with clickstream data, predictive modeling for user engagement, or bidding optimization is highly advantageous. MS or PhD in mathematics, computer science, physics, statistics, electrical engineering, or a related field. Proficiency in Python (3.9+), with experience in scientific computing and machine learning tools (e.g., NumPy, Pandas, SciPy, scikit-learn, matplotlib, etc.). Familiarity with deep learning frameworks (such as TensorFlow or PyTorch) is a plus. Strong expertise in applied statistical methods, A/B testing frameworks, advanced experiment design, and interpreting complex experimental results. Experience querying and processing data using SQL and working with distributed data storage solutions (e.g., AWS Redshift, Snowflake, BigQuery, Athena, Presto, MinIO, etc.). Experience in budget allocation optimization, lookalike modeling, LTV prediction, or churn analysis is a plus. Ability to manage multiple projects, prioritize tasks effectively, and maintain a structured approach to complex problem-solving. Excellent communication and collaboration skills to work effectively with both technical and business teams.

Seeking a Senior Full-Stack AI Security Engineer to develop and integrate a new External Attack Surface Management (EASM) application into our existing platform. This app will provide AI-driven domain scanning, dark web monitoring, and automated reporting, while seamlessly integrating with Salesforce, HubSpot, ConnectWise, and data architecture. This role will be responsible for building the application in an extensible, modular way that ensures seamless integration with platform, allowing future expansion and interoperability with existing features. Additionally, this role requires evaluating current capabilities, APIs, and integrations to determine the most effective approach for development. Responsibilities Evaluate existing data architecture, APIs, and platform integrations to determine opportunities for reusability and extension. Design and develop an extensible EASM solution using React, Node.js, and Python, ensuring modular architecture for future expansion. Build scalable API endpoints to integrate the EASM solution with platform and external services like Shodan, Have I Been Pwned, and VirusTotal. Develop AI-driven security insights, leveraging LLMs and ML models to detect cyber risks and provide contextual recommendations. Create in-app dashboards and exportable reports (PDF, CSV, API-based) to help MSPs provide security assessments to customers. Ensure seamless integrations with CRMs like Salesforce, HubSpot, and ConnectWise, allowing MSPs to track risk data in their workflows. Optimize for security, performance, and scalability, ensuring the solution meets enterprise-grade security standards. Collaborate closely with engineering team to align the EASM app with platform roadmap and integration strategy. Requirements 5+ years of experience in full-stack development with React, Node.js, and Python. Expertise in cybersecurity intelligence APIs like Shodan, Have I Been Pwned, and VirusTotal. Experience with AI/ML models (e.g., TensorFlow, PyTorch, OpenAI APIs) for security risk detection. Strong understanding of modular, API-first architectures to enable extensibility and seamless platform integration. Proven ability to build scalable web applications and real-time data processing systems. Strong experience in developing interactive dashboards and automated reporting exports (PDF, CSV, API-based reports). Hands-on experience integrating with CRMs like Salesforce, HubSpot, and ConnectWise. Familiarity with database management (PostgreSQL, MongoDB, Firebase). Strong knowledge of network security, OSINT, and cybersecurity frameworks. Experience evaluating build vs. integrate strategies for leveraging current capabilities vs. external APIs. Ability to document and develop SDKs or extensible APIs that allow third-party integrations in the future. Ability to work in a fast-paced startup environment with rapid development cycles. Preferred Qualifications Experience with serverless architectures (AWS Lambda, Firebase Functions). Familiarity with GraphQL, WebSockets, and real-time data analytics. Prior work in MSP or cybersecurity software development.

Design, implement, and maintain scalable and reliable MLOps pipelines. Develop and deploy machine learning models using Python. Manage containerized applications using Kubernetes. Implement and manage CI/CD pipelines to automate the deployment process. Collaborate with data scientists and software engineers to integrate machine learning models into production environments. Utilize GitHub for version control and collaboration on code repositories. Leverage Argo for workflow automation and orchestration. Monitor and optimize the performance of deployed models and infrastructure. Troubleshoot and resolve issues related to model deployment and infrastructure. Stay up-to-date with the latest trends and best practices in MLOps and machine learning. Required Qualifications: Bachelor's degree in Computer Science, Engineering, or a related field. Proven experience as an MLOps Engineer or in a similar role. Proficiency in Python programming. Hands-on experience with Kubernetes for container orchestration. Strong understanding of code deployment and CI/CD processes. Experience with GitHub for version control. Familiarity with Argo for workflow automation. Excellent problem-solving skills and attention to detail. Strong communication and collaboration skills. Preferred Qualifications: Master's degree in Computer Science, Engineering, or a related field. Experience with cloud platforms such as AWS, GCP, or Azure. Knowledge of machine learning frameworks and libraries (e.g., TensorFlow, PyTorch). Experience with monitoring tools and practices for machine learning models. Understanding of data engineering and data pipeline concepts.