8856 Pytorch Jobs - Page 11

Hello, We are seeking a highly skilled and motivated Python Developer having 2 to 3 years of expertise in Artificial Intelligence (AI) and Machine Learning (ML) to join our technology team. The ideal candidate will have a strong foundation in Python programming, experience with AI/ML frameworks, and the ability to build scalable, intelligent systems that solve real-world problems. Experience : Minimum 2 to 3 years Required Skills: Programming: Strong proficiency in Python and libraries like NumPy, Pandas, Scikit-learn, etc. AI/ML Frameworks: Experience with TensorFlow, PyTorch, Keras, or similar libraries. Understanding of supervised, unsupervised, and deep learning algorithms. Data Handling: Expertise in data preprocessing, feature engineering, and visualization. Familiarity with SQL and NoSQL databases. Tools & Technologies: Experience with Jupyter Notebooks, Git, Docker, and REST APIs. Familiarity with cloud platforms like AWS, Azure, or GCP is a plus. Soft Skills: Problem-solving and analytical thinking. Effective communication and teamwork. Self-motivated and adaptable to fast-changing environments. Preferred Qualifications: Bachelor’s or Master’s degree in Computer Science, Data Science, Engineering, or related field. 2+ years of experience in Python development with a focus on AI/ML. Previous experience in deploying ML models to production environments. Key Responsibilities: 1. Design, develop, and deploy AI/ML models using Python and associated frameworks. 2. Collaborate with data scientists, engineers, and product teams to implement intelligent features in applications. 3. Collect, preprocess, and analyze structured and unstructured data for training and evaluation. 4. Build APIs or services to serve AI/ML models in production environments. 5. Optimize model performance and monitor outcomes for accuracy and relevance. 6. Research and implement best practices, tools, and technologies in the AI/ML ecosystem. 7. Maintain proper documentation and version control of code and models. 8. Ensure scalability, efficiency, and security of deployed solutions. Work location : Madurai & Madurai based candidates are highly preferred. Office timings : 10 AM to 7:30 PM Interested candidates can forward their updated resume to this Whatsapp Number +918122781352 Telephonic interview will be initially held for the experienced candidates & Based on the performance further details will be discussed. Job Types: Full-time, Permanent Pay: ₹15,000.00 - ₹30,000.00 per month Schedule: Day shift Fixed shift Morning shift Supplemental Pay: Performance bonus Yearly bonus Work Location: In person

Hello! You've landed on this page, which means you're interested in working with us. Let's take a sneak peek at what it's like to work at Innovaccer. Analytics at Innovaccer Our analytics team is dedicated to weaving analytics and data science magics across our products. They are the owners and custodians of intelligence behind our products. With their expertise and innovative approach, they play a crucial role in building various analytical models (including descriptive, predictive, and prescriptive) to help our end-users make smart decisions. Their focus on continuous improvement and cutting-edge methodologies ensures that they're always creating market leading solutions that propel our products to new heights of success. About the Role Data is the foundation of our innovation. We are seeking a Manager, Data Science with expertise in NLP and Generative AI to lead the development of cutting-edge AI-driven solutions in healthcare. This role requires a deep understanding of healthcare data and the ability to design and implement advanced language models that extract insights, automate workflows, and enhance clinical decision-making. We’re looking for a visionary leader who can define and build the next generation of AI-driven tools, leveraging LLMs, deep learning, and predictive analytics to personalize care based on patients’ clinical and behavioral history. If you’re passionate about pushing the boundaries of AI in healthcare, we’d love to hear from you! A Day in the Life Team Leadership & Development: Build, mentor, and manage a team of data scientists, and machine learning engineers. Foster a culture of collaboration, innovation, and technical excellence. Roadmap Execution: Define and execute on the quarterly AI/ML roadmap, setting clear goals, priorities, and deliverables for the team. Work with the business leaders and customers to understand their pain-points and build large-scale solutions for them. Define technical architecture to productize Innovaccer’s machine-learning algorithms and take them to market with partnerships with different organization. Work with our data platform and applications team to help them successfully integrate the data science capability or algorithms in their product/workflows. Project & Stakeholder Management: Work closely with cross-functional teams, including product managers, engineers, and business leaders, to align AI/ML initiatives with company objectives. What You Need Masters in Computer Science, Computer Engineering or other relevant fields (PhD Preferred) 8+ years of experience in Data Science (healthcare experience will be a plus) Strong experience with deep learning techniques to build NLP/Computer vision models as well as state of art GenAI pipelines - Has demonstrable experience deploying deep learning models in production at scale with interactive improvements- would require hands-on expertise with at least 1 deep learning frameworks like Pytorch or Tensorflow. Strong hands-on experience in building GenAI applications - building LLM based workflows along with optimization techniques - knowledge of implementing agentic workflows is a plus. Has keen interest in research and stays updated with key advancements in the area of AI and ML in the industry. Having patents/publications in any area of AI/ML is a great add on. Hands on experience with at least one ML platform among Databricks, Azure ML, Sagemaker s Strong written and spoken communication skills We offer competitive benefits to set you up for success in and outside of work. Here’s What We Offer Generous Leave Benefits: Enjoy generous leave benefits of up to 40 days. Parental Leave: Experience one of the industry's best parental leave policies to spend time with your new addition. Sabbatical Leave Policy: Want to focus on skill development, pursue an academic career, or just take a break? We've got you covered. Health Insurance: We offer health benefits and insurance to you and your family for medically related expenses related to illness, disease, or injury. Pet-Friendly Office*: Spend more time with your treasured friends, even when you're away from home. Bring your furry friends with you to the office and let your colleagues become their friends, too. *Noida office only Creche Facility for children* : Say goodbye to worries and hello to a convenient and reliable creche facility that puts your child's well-being first. *India offices Where and how we work Our Noida office is situated in a posh techspace, equipped with various amenities to support our work environment. Here, we follow a five-day work schedule, allowing us to efficiently carry out our tasks and collaborate effectively within our team. Innovaccer is an equal-opportunity employer. We celebrate diversity, and we are committed to fostering an inclusive and diverse workplace where all employees, regardless of race, color, religion, gender, gender identity or expression, sexual orientation, national origin, genetics, disability, age, marital status, or veteran status, feel valued and empowered. Disclaimer : Innovaccer does not charge fees or require payment from individuals or agencies for securing employment with us. We do not guarantee job spots or engage in any financial transactions related to employment. If you encounter any posts or requests asking for payment or personal information, we strongly advise you to report them immediately to our HR department at px@innovaccer.com. Additionally, please exercise caution and verify the authenticity of any requests before disclosing personal and confidential information, including bank account details.

Position Overview- We are looking for an experienced AI Engineer to design, build, and optimize AI-powered applications, leveraging both traditional machine learning and large language models (LLMs). The ideal candidate will have a strong foundation in LLM fine-tuning, inference optimization, backend development, and MLOps, with the ability to deploy scalable AI systems in production environments. ShyftLabs is a leading data and AI company, helping enterprises unlock value through AI-driven products and solutions. We specialize in data platforms, machine learning models, and AI-powered automation, offering consulting, prototyping, solution delivery, and platform scaling. Our Fortune 500 clients rely on us to transform their data into actionable insights. Key Responsibilities: Design and implement traditional ML and LLM-based systems and applications. Optimize model inference for performance and cost-efficiency. Fine-tune foundation models using methods like LoRA, QLoRA, and adapter layers. Develop and apply prompt engineering strategies including few-shot learning, chain-of-thought, and RAG. Build robust backend infrastructure to support AI-driven applications. Implement and manage MLOps pipelines for full AI lifecycle management. Design systems for continuous monitoring and evaluation of ML and LLM models. Create automated testing frameworks to ensure model quality and performance. Basic Qualifications: Bachelor’s degree in Computer Science, AI, Data Science, or a related field. 4+ years of experience in AI/ML engineering, software development, or data-driven solutions. LLM Expertise Experience with parameter-efficient fine-tuning (LoRA, QLoRA, adapter layers). Understanding of inference optimization techniques: quantization, pruning, caching, and serving. Skilled in prompt engineering and design, including RAG techniques. Familiarity with AI evaluation frameworks and metrics. Experience designing automated evaluation and continuous monitoring systems. Backend Engineering Strong proficiency in Python and frameworks like FastAPI or Flask. Experience building RESTful APIs and real-time systems. Knowledge of vector databases and traditional databases. Hands-on experience with cloud platforms (AWS, GCP, Azure) focusing on ML services. MLOps & Infrastructure Familiarity with model serving tools (vLLM, SGLang, TensorRT). Experience with Docker and Kubernetes for deploying ML workloads. Ability to build monitoring systems for performance tracking and alerting. Experience building evaluation systems using custom metrics and benchmarks. Proficient in CI/CD and automated deployment pipelines. Experience with orchestration tools like Airflow. Hands-on experience with LLM frameworks (Transformers, LangChain, LlamaIndex). Familiarity with LLM-specific monitoring tools and general ML monitoring systems. Experience with distributed training and inference on multi-GPU environments. Knowledge of model compression techniques like distillation and quantization. Experience deploying models for high-throughput, low-latency production use. Research background or strong awareness of the latest developments in LLMs. Tools & Technologies We Use Frameworks: PyTorch, TensorFlow, Hugging Face Transformers Serving: vLLM, TensorRT-LLM, SGlang, OpenAI API Infrastructure: Docker, Kubernetes, AWS, GCP Databases: PostgreSQL, Redis, Vector Databases We are proud to offer a competitive salary alongside a strong healthcare insurance and benefits package. We pride ourselves on the growth of our employees, offering extensive learning and development resources.

About Us: Red & White Education Pvt. Ltd., established in 2008, is Gujarats top NSDC & ISO-certified institute focused on skill-based education and global employability. Role Overview: Were hiring a full-time Onsite AI, Machine Learning, and Data Science Faculty/ Trainer with strong communication skills and a passion for teaching, Key Responsibilities: Deliver high-quality lectures on AI, Machine Learning, and Data Science . Design and update course materials, assignments, and projects. Guide students on hands-on projects, real-world applications, and research work. Provide mentorship and support for student learning and career development. Stay updated with the latest trends and advancements in AI/ML and Data Science. Conduct assessments, evaluate student progress, and provide feedback. Participate in curriculum development and improvements. Skills & Tools: Core Skills: ML, Deep Learning, NLP, Computer Vision, Business Intelligence, AI Model Development, Business Analysis. Programming: Python, SQL (Must), Pandas, NumPy, Excel. ML & AI Tools: Scikit-learn (Must), XGBoost, LightGBM, TensorFlow, PyTorch (Must), Keras, Hugging Face. Data Visualization: Tableau, Power BI (Must), Matplotlib, Seaborn, Plotly. NLP & CV: Transformers, BERT, GPT, OpenCV, YOLO, Detectron2. Advanced AI: Transfer Learning, Generative AI, Business Case Studies. Education & Experience Requirements: Bachelor's/Master’s/Ph.D. in Computer Science, AI, Data Science, or a related field. Minimum 1+ years of teaching or industry experience in AI/ML and Data Science. Hands-on experience with Python, SQL, TensorFlow, PyTorch, and other AI/ML tools. Practical exposure to real-world AI applications, model deployment, and business analytics. For further information, please feel free to contact 7862813693 us via email at career@rnwmultimedia.edu.in Job Types: Full-time, Permanent Pay: ₹30,000.00 - ₹35,000.00 per month Benefits: Flexible schedule Leave encashment Paid sick time Paid time off Provident Fund Schedule: Day shift Supplemental Pay: Performance bonus Yearly bonus Application Question(s): Current Salary? Education: Bachelor's (Required) Experience: Teaching / Mentoring: 1 year (Required) AIML : 1 year (Required) Data science: 1 year (Preferred) Location: Varachha, Surat, Gujarat (Required) Work Location: In person

Benzatine Infotech is a Mobile/Web Development and Information Technology company. We have over 10+ years of programming experience and have developed a wide range of over 200+ iOS and Android mobile and web applications. Our team delivers professional, innovative solutions for our clients -- quickly and cost-effectively. Key Responsibilities: Design and develop scalable machine learning models and algorithms. Collaborate with cross-functional teams to integrate AI/ML models into production systems. Analyze large datasets to extract meaningful patterns and insights. Optimize models for performance, accuracy, and scalability. Research and implement the latest AI/ML techniques and tools. Build prototypes and proof-of-concepts to demonstrate model effectiveness. Monitor and improve deployed models based on real-time feedback and performance. Required Skills & Qualifications: Bachelor’s or Master’s degree in Computer Science, Data Science, Artificial Intelligence, or a related field. Strong proficiency in Python and ML libraries like TensorFlow, PyTorch, Scikit-learn, etc. Experience with data preprocessing, feature engineering, and model evaluation techniques. Solid understanding of supervised, unsupervised, and deep learning algorithms. Knowledge of NLP, computer vision, or reinforcement learning is a plus. Familiarity with tools like Jupyter, Git, Docker, and cloud platforms (AWS/GCP/Azure). Experience: 2+ years of experience Benefits: 5 Days working 12 Paid leaves + Holidays Leave Encashment Festival Celebrations On-Time Salary Career growth opportunities Best place to gain knowledge Friendly environment Co-operative senior developer Job Types: Full-time, Permanent Experience: AI: 2 years (Preferred) Machine learning: 2 years (Preferred) Work Location: In person

We're Hiring: AI Developer with OpenAI & Python Expertise Are you passionate about building intelligent systems and working with cutting-edge AI technologies like OpenAI’s GPT models? Join our fast-growing AI-focused team where we’re building the next generation of smart products across industries like gaming, betting, fintech, and more. What We're Looking For: We’re hiring AI Developers with experience in: Python frameworks : FastAPI, Flask, Django Machine Learning & Deep Learning : TensorFlow, PyTorch, scikit-learn LLMs & OpenAI : Hands-on experience with OpenAI GPT (3.5, 4, 4-turbo) APIs Experience building custom GPTs or AI assistants Understanding of function calling, tool use, prompt design, and system messages Prompt Engineering & Model Programming : Crafting efficient and task-specific prompts Fine-tuning and optimizing LLMs or integrating with vector databases like Pinecone or FAISS Good understanding of RAG pipelines , embeddings, and LLMOps practices Nice to Have: Experience in LangChain, LlamaIndex, or similar frameworks Familiarity with deploying models on cloud platforms (AWS, GCP, Azure) Prior work in building chatbots, agents, or AI-driven automation tools Who You'll Work With: A cross-functional, agile team of AI experts, engineers, and product managers Real-world projects with international clients A culture of learning, ownership, and innovation Location: Full-time / Contract-based roles available How to Apply: Send your CV, GitHub/portfolio links, and a brief note on your recent AI work to hr@softrefine.com. Let’s build the future of AI together. Job Types: Full-time, Permanent Pay: ₹12,790.55 - ₹60,351.20 per month Work Location: In person

Job Title: AI/ML Ops Engineer Location: Ahmedabad - Onsite Duration: 2-4 years experinece About the Role We are seeking an experienced AI/ML Ops Engineer to join our team and drive the development, deployment, and operationalization of machine learning and large language model (LLM) systems. You will be responsible for building scalable ML pipelines, enabling intelligent retrieval-augmented generation (RAG) capabilities, and deploying services that power intelligent enterprise applications. Key Responsibilities Develop and maintain machine learning models to forecast user behavior using structured time-series data. Build and optimize end-to-end regression pipelines using advanced libraries such as CatBoost , XGBoost , and LightGBM . Design and implement RAG (Retrieval-Augmented Generation) pipelines for enterprise chatbot systems utilizing tools like LangChain , LLM Router , or custom-built orchestrators. Work with vector databases for semantic document retrieval and reranking. Integrate external APIs into LLM workflows to enable tool/function calling capabilities. Package and deploy ML services using tools such as Docker , FastAPI , or Flask . Collaborate with cross-functional teams to ensure reliable CI/CD deployment and version control practices. Core Technologies & Tools Languages: Python (primary), Bash, SQL ML Libraries: scikit-learn, CatBoost, XGBoost, LightGBM, PyTorch, TensorFlow LLM & RAG Tools: LangChain, Hugging Face Transformers, LlamaIndex, LLM Router Vector Stores: FAISS, Weaviate, Chroma, Pinecone Deployment & APIs: Docker, FastAPI, Flask, Postman Infrastructure & Version Control: Git, GitHub, CI/CD pipelines Preferred Qualifications Proven experience in ML Ops, AI infrastructure, or productionizing ML models. Strong understanding of large-scale ML system design and deployment strategies. Experience working with vector databases and LLM-based applications in production. Job Type: Full-time Pay: Up to ₹75,229.87 per month Benefits: Provident Fund Experience: AI/ML: 3 years (Preferred) ML OPs: 3 years (Preferred) AWS: 1 year (Preferred) Python: 3 years (Preferred) Work Location: In person

Launch Your Career in AI/ML – We’re Hiring Freshers! Location: Ahmedabad (Work from Office) Company: MPIRIC Web Services Role: AI/ML Intern Type: Full-Time | Internship | In-office Are you a recent graduate eager to explore the world of Artificial Intelligence & Machine Learning? Join our AI/ML Internship Program and gain real-world experience working on live projects, guided by industry experts. If you’re passionate about AI and love coding in Python, this is the opportunity for you! What You’ll Work With: Programming Languages: Python (must-have) (Bonus) C++ for performance-heavy tasks ML Frameworks: PyTorch or TensorFlow/Keras (hands-on with one is enough) Scikit-learn for traditional ML models Data Handling & Visualization: NumPy, Pandas, Matplotlib, Seaborn Comfortable with cleaning, analyzing & visualizing data Computer Vision (optional but cool): OpenCV for image processing YOLOv5/v8, MediaPipe (nice to have!) Deployment (basic exposure): Flask / FastAPI for APIs Docker (bonus) ONNX / TensorRT (only if you’re curious) Cloud & Tools: Google Colab (Required) Jupyter Notebooks ( Must-know) AWS/GCP/Azure (not required, but great if you’ve tried!) What You Should Know (Even at Basic Level): Linear Algebra, Calculus, Probability Cost Functions, Backpropagation Basics ML Concepts: Supervised vs Unsupervised CNNs, RNNs, Transformers – basic awareness Model evaluation: Accuracy, Precision, Recall, F1 Score Projects to Show (If You Have): Image classification / object detection YOLO-based mini projects Flask-deployed ML model Kaggle competition participation Anything cool on GitHub! What We’re Looking For: ✔ Strong desire to learn & grow ✔ Clear understanding of Python basics ✔ Enthusiasm for AI & solving problems ✔ Ability to explain your thought process ✔ Based in Ahmedabad (In-office internship only) What You’ll Get: Hands-on project experience Internship Certificate + LOR Mentorship from experienced developers Pre-placement opportunity for top performers Supportive, learning-focused environment Job Types: Full-time, Fresher Schedule: Monday to Friday Work Location: In person

What You’ll Do: Build and deploy models for object detection , OCR , image classification , face recognition , and more. Develop real-time CV pipelines using YOLOv5/v8, Faster R-CNN, DeepSORT , etc. Integrate Generative AI and LLMs into CV workflows and end-user applications. Optimize models for edge devices (Jetson Nano/Xavier, Coral, OpenVINO). Work with annotated image/video datasets, apply augmentation and pre/post-processing. Lead cross-functional AI initiatives and guide team-level technical decisions. Must-Haves: 4+ years in AI/ML with practical deployments. Proficiency in Python , PyTorch/TensorFlow , and OpenCV . Hands-on with OCR tools : Tesseract, PaddleOCR, EasyOCR, etc. Solid understanding of image processing: contouring, segmentation, thresholding. Experience deploying models on edge: NVIDIA Jetson , TensorRT , etc. Exposure to LLMs and building end-to-end AI pipelines. Nice-to-Haves: Experience with AWS Textract , Azure OCR , or Google Vision API . Built tools for NER , invoice parsing , or document classification . Familiarity with DeepStream , Streamlit dashboards , and MLflow/ONNX . Academic research/published work in AI/CV fields. Knowledge of CUDA , sensors, and camera hardware integration. Why Join Us? Work on cutting-edge AI + CV projects with real-world impact. Be part of a team that values innovation, ownership, and experimentation . Opportunity to lead GenAI initiatives across domains. Job Type: Full-time Pay: ₹600,000.00 - ₹1,100,000.00 per year Benefits: Health insurance Paid sick time Paid time off Provident Fund Work Location: In person

The candidate should have experience in AI Development including experience in developing, deploying, and optimizing AI and Generative AI solutions. The ideal candidate will have a strong technical background, hands-on experience with modern AI tools and platforms, and a proven ability to build innovative applications that leverage advanced AI techniques. You will work collaboratively with cross-functional teams to deliver AI-driven products and services that meet business needs and delight end-users. Key Prerequisites  Experience in AI and Generative AI Development  Experience in Design, develop, and deploy AI models for various use cases, such as predictive analytics, recommendation systems, and natural language processing (NLP).  Experience in Building and fine-tuning Generative AI models for applications like chatbots, text summarization, content generation, and image synthesis.  Experience in implementation and optimization of large language models (LLMs) and transformer-based architectures (e.g., GPT, BERT).  Experience in ingestion and cleaning of data  Feature Engineering and Data Engineering  Experience in Design and implementation of data pipelines for ingesting, processing, and storing large datasets.  Experience in Model Training and Optimization  Exposure to deep learning models and fine-tuning pre-trained models using frameworks like TensorFlow, PyTorch, or Hugging Face.  Exposure to optimization of models for performance, scalability, and cost efficiency on cloud platforms (e.g., AWS SageMaker, Azure ML, Google Vertex AI).  Hands-on experience in monitoring and improving model performance through retraining and evaluation metrics like accuracy, precision, and recall. AI Tools and Platform Expertise  OpenAI, Hugging Face  MLOps tools  Generative AI-specific tools and libraries for innovative applications. Technical Skills 1. Strong programming skills in Python (preferred) or other languages like Java, R, or Julia. 2. Expertise in AI frameworks and libraries such as TensorFlow, PyTorch, Scikit-learn, and Hugging Face. 3. Proficiency in working with transformer-based models (e.g., GPT, BERT, T5, DALL-E). 4. Experience with cloud platforms (AWS, Azure, Google Cloud) and containerization tools (Docker, Kubernetes). 5. Solid understanding of databases (SQL, NoSQL) and big data processing tools (Spark, Hadoop).

Hi, We have a 6-month (possibilities of further extension) Contract requirement for AI Developer OFFSHORE REMOTE Europe time zone -Central European Time (CET). Working hours will be 5 am/ 5:30am/6 am to 2 pm/2:30 pm / 3 pm IST Position: AI Developer Duration: 6-month (possibilities of further extension) Annual Salary: DOE Work Location: REMOTE Required Experience: 5 yrs Primary Skills Knowledge of Python AWS Lambda AWS Bedrock Detailed JD as follows: 1. Prompt Engineering Techniques – Advanced Design effective prompts for large language models to optimize accuracy, reduce hallucinations, and guide reasoning using few-shot, zero-shot, and chain-of-thought approaches. Work with foundation models via APIs (e.g., OpenAI, AWS Bedrock) to build real-world applications across domains. 2. Generative Modeling Techniques – Intermediate Implement and experiment with generative models like GPT, BERT, or other Transformer-based architectures. Apply pre-trained models in NLP, content generation, or summarization tasks using platforms like Hugging Face or AWS Bedrock. 3. Agentic AI and Reinforcement Learning – Intermediate Understand and integrate basic agentic frameworks that combine reasoning, memory, and planning. Work with simulation environments (e.g., OpenAI Gym) and apply standard reinforcement learning algorithms for prototype development. 4. Building Responsible and Ethical AI – Intermediate Implement fairness-aware model evaluation and explainability practices using tools like SHAP or LIME. Follow best practices for privacy, bias mitigation, and governance in AI systems. 5. Cloud Deployment and MLOps – Intermediate Deploy AI models using AWS Lambda , AWS Bedrock , and SageMaker for serving and scalability. Participate in building MLOps pipelines and model versioning using MLflow or similar tools. 6. Machine Learning Frameworks (PyTorch/TensorFlow) – Beginner Train and fine-tune small-scale models using PyTorch or TensorFlow under guidance or for prototyping. Leverage existing models via transfer learning for quick deployment. 7. Data Preprocessing and Feature Engineering – Beginner Clean and transform raw data for modeling tasks. Perform exploratory data analysis (EDA) and develop basic feature extraction pipelines. 8. Containerization and CI/CD – Beginner Learn and assist in containerizing ML applications using Docker. Support implementation of CI/CD pipelines and Git-based workflow integrations.

Line of Service Advisory Industry/Sector Not Applicable Specialism Risk Management Level Associate Job Description & Summary A career within Internal Audit services, will provide you with an opportunity to gain an understanding of an organisation’s objectives, regulatory and risk management environment, and the diverse needs of their critical stakeholders. We focus on helping organisations look deeper and see further considering areas like culture and behaviours to help improve and embed controls. In short, we seek to address the right risks and ultimately add value to their organisation. *Why PWC At PwC, you will be part of a vibrant community of solvers that leads with trust and creates distinctive outcomes for our clients and communities. This purpose-led and values-driven work, powered by technology in an environment that drives innovation, will enable you to make a tangible impact in the real world. We reward your contributions, support your wellbeing, and offer inclusive benefits, flexibility programmes and mentorship that will help you thrive in work and life. Together, we grow, learn, care, collaborate, and create a future of infinite experiences for each other. Learn more about us . At PwC, we believe in providing equal employment opportunities, without any discrimination on the grounds of gender, ethnic background, age, disability, marital status, sexual orientation, pregnancy, gender identity or expression, religion or other beliefs, perceived differences and status protected by law. We strive to create an environment where each one of our people can bring their true saelves and contribute to their personal growth and the firm’s growth. To enable this, we have zero tolerance for any discrimination and harassment based on the above considerations. " Job Description & Summary: A career within…. Responsibilities: Architecture Design: · Design and implement scalable, secure, and high-performance architectures for Generative AI applications. · Integrate Generative AI models into existing platforms, ensuring compatibility and performance optimization. Model Development and Deployment: · Fine-tune pre-trained generative models for domain-specific use cases. · Data Collection, Sanitization and Data Preparation strategy for Model fine tuning. · Well versed with machine learning algorithms like Supervised, unsupervised and Reinforcement learnings, Deep learning. · Well versed with ML models like Linear regression, Decision trees, Gradient boosting, Random Forest and K-means etc. · Evaluate, select, and deploy appropriate Generative AI frameworks (e.g., PyTorch, TensorFlow, Crew AI, Autogen, Langraph, Agentic code, Agent flow). Innovation and Strategy: · Stay up to date with the latest advancements in Generative AI and recommend innovative applications to solve complex business problems. · Define and execute the AI strategy roadmap, identifying key opportunities for AI transformation. · Good exposure to Agentic Design patterns Collaboration and Leadership: · Collaborate with cross-functional teams, including data scientists, engineers, and business stakeholders. · Mentor and guide team members on AI/ML best practices and architectural decisions. · Should be able to lead a team of data scientists, GenAI engineers and Software Developers. Performance Optimization: · Monitor the performance of deployed AI models and systems, ensuring robustness and accuracy. · Optimize computational costs and infrastructure utilization for large-scale deployments. Ethical and Responsible AI: · Ensure compliance with ethical AI practices, data privacy regulations, and governance frameworks. · Implement safeguards to mitigate bias, misuse, and unintended consequences of Generative AI. Mandatory skill sets: · Advanced programming skills in Python and fluency in data processing frameworks like Apache Spark. · Experience with machine learning, artificial Intelligence frameworks models and libraries (TensorFlow, PyTorch, Scikit-learn, etc.). · Should have strong knowledge on LLM’s foundational model (OpenAI GPT4o, O1, Claude, Gemini etc), while need to have strong knowledge on opensource Model’s like Llama 3.2, Phi etc. · Proven track record with event-driven architectures and real-time data processing systems. · Familiarity with Azure DevOps and other LLMOps tools for operationalizing AI workflows. · Deep experience with Azure OpenAI Service and vector DBs, including API integrations, prompt engineering, and model fine-tuning. Or equivalent tech in AWS/GCP. · Knowledge of containerization technologies such as Kubernetes and Docker. · Comprehensive understanding of data lakes and strategies for data management. · Expertise in LLM frameworks including Langchain, Llama Index, and Semantic Kernel. · Proficiency in cloud computing platforms such as Azure or AWS. · Exceptional leadership, problem-solving, and analytical abilities. · Superior communication and collaboration skills, with experience managing high-performing teams. · Ability to operate effectively in a dynamic, fast-paced environment. Preferred skill sets: · Experience with additional technologies such as Datadog, and Splunk. · Programming languages like C#, R, Scala · Possession of relevant solution architecture certificates and continuous professional development in data engineering and Gen AI. Years of experience required: 0-1 Years Education qualification: · BE / B.Tech / MCA / M.Sc / M.E / M.Tech Education (if blank, degree and/or field of study not specified) Degrees/Field of Study required: Bachelor in Business Administration, Master of Business Administration, Bachelor of Engineering Degrees/Field of Study preferred: Certifications (if blank, certifications not specified) Required Skills Java Optional Skills Accepting Feedback, Accepting Feedback, Accounting and Financial Reporting Standards, Active Listening, Artificial Intelligence (AI) Platform, Auditing, Auditing Methodologies, Business Process Improvement, Communication, Compliance Auditing, Corporate Governance, Data Analysis and Interpretation, Data Ingestion, Data Modeling, Data Quality, Data Security, Data Transformation, Data Visualization, Emotional Regulation, Empathy, Financial Accounting, Financial Audit, Financial Reporting, Financial Statement Analysis, Generally Accepted Accounting Principles (GAAP) {+ 19 more} Desired Languages (If blank, desired languages not specified) Travel Requirements Not Specified Available for Work Visa Sponsorship? No Government Clearance Required? No Job Posting End Date

At EY, you’ll have the chance to build a career as unique as you are, with the global scale, support, inclusive culture and technology to become the best version of you. And we’re counting on your unique voice and perspective to help EY become even better, too. Join us and build an exceptional experience for yourself, and a better working world for all. EY-Consulting – AI Enabled Automation -GenAI/Agentic – Manager We are looking to hire people with strong AI Enabled Automation skills and who are interested in applying AI in the process automation space – Azure, AI, ML, Deep Learning, NLP, GenAI , large Lang Models(LLM), RAG ,Vector DB , Graph DB, Python. At EY, you’ll have the chance to build a career as unique as you are, with the global scale, support, inclusive culture, and technology to become the best version of you. And we’re counting on your unique voice and perspective to help EY become even better, too. Join us and build an exceptional experience for yourself, and a better working world for all. Responsibilities: Development and implementation of AI enabled automation solutions, ensuring alignment with business objectives. Design and deploy Proof of Concepts (POCs) and Points of View (POVs) across various industry verticals, demonstrating the potential of AI enabled automation applications. Ensure seamless integration of optimized solutions into the overall product or system Collaborate with cross-functional teams to understand requirements, to integrate solutions into cloud environments (Azure, GCP, AWS, etc.) and ensure it aligns with business goals and user needs Educate team on best practices and keep updated on the latest tech advancements to bring innovative solutions to the project Technical Skills Requirements 9 to 13 years of relevant professional experience Proficiency in Python and frameworks like PyTorch, TensorFlow, Hugging Face Transformers. Strong foundation in ML algorithms, feature engineering, and model evaluation.- Must Strong foundation in Deep Learning, Neural Networks, RNNs, CNNs, LSTMs, Transformers (BERT, GPT), and NLP.-Must Experience in GenAI technologies — LLMs (GPT, Claude, LLaMA), prompting, fine-tuning. Experience with LangChain, LlamaIndex, LangGraph, AutoGen, or CrewAI.(Agentic Framework) Knowledge of retrieval augmented generation (RAG) Knowledge of Knowledge Graph RAG Experience with multi-agent orchestration, memory, and tool integrations Experience/Implement MLOps practices and tools (CI/CD for ML, containerization, orchestration, model versioning and reproducibility)--Good to have Experience with cloud platforms (AWS, Azure, GCP) for scalable ML model deployment. Good understanding of data pipelines, APIs, and distributed systems. Build observability into AI systems — latency, drift, performance metrics. Strong written and verbal communication, presentation, client service and technical writing skills in English for both technical and business audiences. Strong analytical, problem solving and critical thinking skills. Ability to work under tight timelines for multiple project deliveries. What we offer: At EY GDS, we support you in achieving your unique potential both personally and professionally. We give you stretching and rewarding experiences that keep you motivated, working in an atmosphere of integrity and teaming with some of the world's most successful companies. And while we encourage you to take personal responsibility for your career, we support you in your professional development in every way we can. You enjoy the flexibility to devote time to what matters to you, in your business and personal lives. At EY you can be who you are and express your point of view, energy and enthusiasm, wherever you are in the world. It's how you make a difference. EY | Building a better working world EY exists to build a better working world, helping to create long-term value for clients, people and society and build trust in the capital markets. Enabled by data and technology, diverse EY teams in over 150 countries provide trust through assurance and help clients grow, transform and operate. Working across assurance, consulting, law, strategy, tax and transactions, EY teams ask better questions to find new answers for the complex issues facing our world today.

At EY, you’ll have the chance to build a career as unique as you are, with the global scale, support, inclusive culture and technology to become the best version of you. And we’re counting on your unique voice and perspective to help EY become even better, too. Join us and build an exceptional experience for yourself, and a better working world for all. EY-Consulting – AI Enabled Automation -GenAI/Agentic – Manager We are looking to hire people with strong AI Enabled Automation skills and who are interested in applying AI in the process automation space – Azure, AI, ML, Deep Learning, NLP, GenAI , large Lang Models(LLM), RAG ,Vector DB , Graph DB, Python. At EY, you’ll have the chance to build a career as unique as you are, with the global scale, support, inclusive culture, and technology to become the best version of you. And we’re counting on your unique voice and perspective to help EY become even better, too. Join us and build an exceptional experience for yourself, and a better working world for all. Responsibilities: Development and implementation of AI enabled automation solutions, ensuring alignment with business objectives. Design and deploy Proof of Concepts (POCs) and Points of View (POVs) across various industry verticals, demonstrating the potential of AI enabled automation applications. Ensure seamless integration of optimized solutions into the overall product or system Collaborate with cross-functional teams to understand requirements, to integrate solutions into cloud environments (Azure, GCP, AWS, etc.) and ensure it aligns with business goals and user needs Educate team on best practices and keep updated on the latest tech advancements to bring innovative solutions to the project Technical Skills Requirements 9 to 13 years of relevant professional experience Proficiency in Python and frameworks like PyTorch, TensorFlow, Hugging Face Transformers. Strong foundation in ML algorithms, feature engineering, and model evaluation.- Must Strong foundation in Deep Learning, Neural Networks, RNNs, CNNs, LSTMs, Transformers (BERT, GPT), and NLP.-Must Experience in GenAI technologies — LLMs (GPT, Claude, LLaMA), prompting, fine-tuning. Experience with LangChain, LlamaIndex, LangGraph, AutoGen, or CrewAI.(Agentic Framework) Knowledge of retrieval augmented generation (RAG) Knowledge of Knowledge Graph RAG Experience with multi-agent orchestration, memory, and tool integrations Experience/Implement MLOps practices and tools (CI/CD for ML, containerization, orchestration, model versioning and reproducibility)--Good to have Experience with cloud platforms (AWS, Azure, GCP) for scalable ML model deployment. Good understanding of data pipelines, APIs, and distributed systems. Build observability into AI systems — latency, drift, performance metrics. Strong written and verbal communication, presentation, client service and technical writing skills in English for both technical and business audiences. Strong analytical, problem solving and critical thinking skills. Ability to work under tight timelines for multiple project deliveries. What we offer: At EY GDS, we support you in achieving your unique potential both personally and professionally. We give you stretching and rewarding experiences that keep you motivated, working in an atmosphere of integrity and teaming with some of the world's most successful companies. And while we encourage you to take personal responsibility for your career, we support you in your professional development in every way we can. You enjoy the flexibility to devote time to what matters to you, in your business and personal lives. At EY you can be who you are and express your point of view, energy and enthusiasm, wherever you are in the world. It's how you make a difference. EY | Building a better working world EY exists to build a better working world, helping to create long-term value for clients, people and society and build trust in the capital markets. Enabled by data and technology, diverse EY teams in over 150 countries provide trust through assurance and help clients grow, transform and operate. Working across assurance, consulting, law, strategy, tax and transactions, EY teams ask better questions to find new answers for the complex issues facing our world today.

!!!! We are Hiring a Data Scientist (Remote)!!! Job Summary: We are seeking an experienced Data Scientist with 5 to 6 years of hands-on experience to join our analytics and AI/ML team. The ideal candidate has a strong background in statistics, machine learning, data engineering, and business analytics, and is capable of turning complex data into actionable insights and predictive solutions. Key Responsibilities: • Work with stakeholders to identify business problems and translate them into data science solutions. • Build, evaluate, and deploy machine learning and statistical models. • Perform data wrangling, feature engineering, and exploratory data analysis (EDA) on large datasets. • Design and implement data pipelines and ETL processes. • Collaborate with engineering teams to deploy models into production. • Interpret model results, validate assumptions, and communicate findings to non-technical stakeholders. • Continuously monitor model performance and retrain as necessary. • Stay up to date with the latest trends, tools, and technologies in data science and AI. Required Skills & Qualifications: • 5–6 years of experience in a data science or machine learning role. • Strong proficiency in Python (Pandas, NumPy, scikit-learn, TensorFlow/PyTorch) • Solid knowledge of machine learning algorithms, deep learning, NLP, or time series forecasting. • Experience with SQL and relational databases. • Experience with data visualization tools like QuickSight, Power BI, or Matplotlib/Seaborn. • Proficiency with cloud platforms like AWS. • Familiarity with version control systems (Git), Docker, and CI/CD workflows. • Strong communication skills and ability to present technical findings clearly to business stakeholders. Preferred Qualifications: • Master's in Computer Science, Statistics, Data Science, Mathematics, or a related field. • Experience working with big data tools such as Spark or Kafka. • Prior experience in industries such as healthcare or retail. • Background in MLOps or data science productization is a plus. Send the resume to HR@muverity.com

Company Description Founded in 2018, Giggso is a No-Code ModelOps Observability platform for Data Science, Engineering teams, and Business execs. Our platform helps AI ML teams with incident management, automation, remediation, and self-healing while ensuring audit and security compliance. Giggso is web 3.0 and blockchain-enabled, consolidating information from data quality to bias and drifts to support Model Risk MExperience in productizing and deploying Machine Learning solutions. Thorough understanding of the full ML pipeline, from data collection to inference. Strong expertise in model monitoring, detecting variations, and managing retraining/redeployment processes. Proficiency in Python and experience with ML frameworks/libraries such as TensorFlow, Keras, PyTorch, spaCy, fastText, and Scikit-learn. Hands-on experience in Natural Language Processing (NLP), including text classification, entity extraction, and content summarization. Must be located in commutable distance to Chennai, Tamil Nadu, India Preferred Qualification Master's Degree. Knowledge or experience in MLOps and ModelOps practices. Strong problem-solving skills with the ability to analyze, optimize, and scale models. Excellent verbal and written communication skills to collaborate effectively across teams and influence strategic decisions.

The Data Scientist organization within the Data and Analytics division is responsible for designing and implementing a unified data strategy that enables the efficient, secure, and governed use of data across the organization. We aim to create a trusted and customer-centric data ecosystem, built on a foundation of data quality, security, and openness, and guided by the Thomson Reuters Trust Principles. Our team is dedicated to developing innovative data solutions that drive business value while upholding the highest standards of data management and ethics. About the role: Work with low to minimum supervision to solve business problems using data and analytics. Work in multiple business domain areas including Customer Experience and Service, Operations, Finance, Sales and Marketing. Work with various business stakeholders, to understand and document requirements. Design an analytical framework to provide insights into a business problem. Explore and visualize multiple data sets to understand data available for problem solving. Build end to end data pipelines to handle and process data at scale. Build machine learning models and/or statistical solutions. Build predictive models. Use Natural Language Processing to extract insight from text. Design database models (if a data mart or operational data store is required to aggregate data for modeling). Design visualizations and build dashboards in Tableau and/or PowerBI Extract business insights from the data and models. Present results to stakeholders (and tell stories using data) using power point and/or dashboards. Work collaboratively with other team members. About you: Overall 6+ years' experience in technology roles. Must have a minimum of 2 years of experience working in the data science domain. Has used frameworks/libraries such as Scikit-learn, PyTorch, Keras, NLTK. Highly proficient in Python. Highly proficient in SQL. Experience with Tableau and/or PowerBI. Has worked with Amazon Web Services and Sagemaker. Ability to build data pipelines for data movement using tools such as Alteryx, GLUE, Informatica. Proficient in machine learning, statistical modelling, and data science techniques. Experience with one or more of the following types of business analytics applications: Predictive analytics for customer retention, cross sales and new customer acquisition. Pricing optimization models. Segmentation. Recommendation engines. Experience in one or more of the following business domains Customer Experience and Service. Finance. Operations. Good presentation skills and the ability to tell stories using data and PowerPoint/Dashboard Visualizations. Excellent organizational, analytical and problem-solving skills. Ability to communicate complex results in a simple and concise manner at all levels within the organization. Ability to excel in a fast-paced, startup-like environment. What’s in it For You? Hybrid Work Model: We’ve adopted a flexible hybrid working environment (2-3 days a week in the office depending on the role) for our office-based roles while delivering a seamless experience that is digitally and physically connected. Flexibility & Work-Life Balance: Flex My Way is a set of supportive workplace policies designed to help manage personal and professional responsibilities, whether caring for family, giving back to the community, or finding time to refresh and reset. This builds upon our flexible work arrangements, including work from anywhere for up to 8 weeks per year, empowering employees to achieve a better work-life balance. Career Development and Growth: By fostering a culture of continuous learning and skill development, we prepare our talent to tackle tomorrow’s challenges and deliver real-world solutions. Our Grow My Way programming and skills-first approach ensures you have the tools and knowledge to grow, lead, and thrive in an AI-enabled future. Industry Competitive Benefits: We offer comprehensive benefit plans to include flexible vacation, two company-wide Mental Health Days off, access to the Headspace app, retirement savings, tuition reimbursement, employee incentive programs, and resources for mental, physical, and financial wellbeing. Culture: Globally recognized, award-winning reputation for inclusion and belonging, flexibility, work-life balance, and more. We live by our values: Obsess over our Customers, Compete to Win, Challenge (Y)our Thinking, Act Fast / Learn Fast, and Stronger Together. Social Impact: Make an impact in your community with our Social Impact Institute. We offer employees two paid volunteer days off annually and opportunities to get involved with pro-bono consulting projects and Environmental, Social, and Governance (ESG) initiatives. Making a Real-World Impact: We are one of the few companies globally that helps its customers pursue justice, truth, and transparency. Together, with the professionals and institutions we serve, we help uphold the rule of law, turn the wheels of commerce, catch bad actors, report the facts, and provide trusted, unbiased information to people all over the world. About Us Thomson Reuters informs the way forward by bringing together the trusted content and technology that people and organizations need to make the right decisions. We serve professionals across legal, tax, accounting, compliance, government, and media. Our products combine highly specialized software and insights to empower professionals with the data, intelligence, and solutions needed to make informed decisions, and to help institutions in their pursuit of justice, truth, and transparency. Reuters, part of Thomson Reuters, is a world leading provider of trusted journalism and news. We are powered by the talents of 26,000 employees across more than 70 countries, where everyone has a chance to contribute and grow professionally in flexible work environments. At a time when objectivity, accuracy, fairness, and transparency are under attack, we consider it our duty to pursue them. Sound exciting? Join us and help shape the industries that move society forward. As a global business, we rely on the unique backgrounds, perspectives, and experiences of all employees to deliver on our business goals. To ensure we can do that, we seek talented, qualified employees in all our operations around the world regardless of race, color, sex/gender, including pregnancy, gender identity and expression, national origin, religion, sexual orientation, disability, age, marital status, citizen status, veteran status, or any other protected classification under applicable law. Thomson Reuters is proud to be an Equal Employment Opportunity Employer providing a drug-free workplace. We also make reasonable accommodations for qualified individuals with disabilities and for sincerely held religious beliefs in accordance with applicable law. More information on requesting an accommodation here. Learn more on how to protect yourself from fraudulent job postings here. More information about Thomson Reuters can be found on thomsonreuters.com.

Job Description: About Us At Byteverse Labs, we believe in pushing the boundaries of technology through collaborative, real-world projects. We are the innovation hub of byteverse.tech, dedicated to building cutting-edge solutions and fostering a community of passionate developers, researchers, and creators. The Project We are excited to announce the launch of a new, ambitious project: building an advanced Text-to-Speech (TTS) Machine Learning model from the ground up. This isn't just an academic exercise; it's a chance to be part of a team creating a tangible, high-impact product. We're looking for passionate and driven individuals to join us on this journey. Your Role & What You'll Be Doing As a contributor to our TTS project, you will collaborate with a diverse team to research, design, code, and test components of our AI model. We have opportunities for individuals with various interests and skills, including: Machine Learning & Research: Experimenting with different model architectures, implementing research papers, and optimizing training pipelines. Software Development: Writing clean, efficient code for data processing, model training, and API integration. Audio Processing: Working with audio datasets, signal processing, and analyzing voice characteristics. System Design & Coordination: Helping to structure the project, manage tasks, and ensure smooth collaboration across the team. This is a unique opportunity to see a real-world ML system come to life and to contribute to its success. Project Highlights & Opportunities While this is a collaborative, project-based role, we believe in recognizing and rewarding contribution. Selected team members will receive: Hands-On Experience: Gain invaluable experience in Machine Learning, audio processing, and large-scale system design. Build Your Portfolio: Contribute to a high-impact, resume-worthy project that you can showcase to future employers. Certificate of Contribution: Receive an official certificate from Byteverse Labs recognizing your successful involvement and achievements. Internship Opportunity: Outstanding contributors will be considered for an Internship Offer, providing a pathway to a more formal role. Networking: Connect and collaborate with a talented team of peers and mentors who share your passion for technology. Who We're Looking For Individuals with a strong passion for AI, Machine Learning, and technology. Proactive, collaborative team players who are eager to learn and contribute. Students or professionals looking for hands-on experience outside of a traditional academic or work setting. Experience in Python, PyTorch/TensorFlow, or audio processing is a plus, but passion and a willingness to learn are most important. We welcome coders, researchers, designers, and project coordinators. Ready to build the voice of AI with us? Apply here: https://docs.google.com/forms/d/e/1FAIpQLScWtzWhWJiE0AU2QRd1Hb8jx81EYXfyQxmA0OjBGBUyOFiuhQ/viewform Let's build something awesome together! A project by labs.byteverse.tech

Job Title: TL/ Manager -AIML (Image Processing )(Healthcare /Medical domain experience is preferable) Experience - Min 7yrs to 12years . Company: Optra Scan India Pvt Ltd Location: Pune (Near Pune Station) About Optra Scan: Optra Scan is a leading provider of AI-powered digital pathology solutions, revolutionizing the way pathology is practiced worldwide. Our cutting-edge technology enables pathologists and researchers to make accurate diagnoses efficiently and effectively, ultimately improving patient outcomes. Job Description: Optra Scan is seeking a talented and motivated AI/ML professional to join our dynamic team. As an AI/ML professional, you will play a pivotal role in the development and implementation of machine learning algorithms and AI models to enhance our digital pathology platform. You will collaborate closely with cross-functional teams to drive innovation and deliver solutions that address complex challenges in healthcare. Responsibilities: Design, develop, and implement machine learning algorithms and AI models for digital pathology applications. Analyze large-scale medical imaging datasets and extract meaningful insights to improve diagnostic accuracy and efficiency. Optimize algorithms for performance, scalability, and robustness in real-world clinical settings. Collaborate with software engineers, pathologists, and data scientists to integrate AI/ML solutions into our digital pathology platform. Stay updated on the latest advancements in AI/ML technologies and contribute to continuous learning and improvement within the team. Participate in code reviews, documentation, and knowledge sharing activities to maintain high standards of software quality and best practices. Requirements: Python, TensorFlow, PyTorch, MATLAB, CUDA programming, Image Processing, NLP, Neural networks and multithreading knowledge Min. 6+ yr of relevant experience Knowledge of AI/ML technology, Data Science, NLP, Machine learning, Imaging Algorithms development in medical domain. object oriented design/development skills, Knowledge of image analysis methods, techniques and practices Experience in C++ and Python is required If you would like to explore this opportunity kindly revert with resume.

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 : Large Language Models Good to have skills : NA Minimum 12 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, and may also explore deep learning, neural networks, chatbots, and image processing technologies. Collaboration with cross-functional teams will be essential to integrate these solutions effectively into existing systems and workflows. 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. - Expected to provide solutions to problems that apply across multiple teams. - Facilitate knowledge sharing and training sessions to enhance team capabilities. - Monitor project progress and ensure alignment with strategic goals. Professional & Technical Skills: - Must To Have Skills: Proficiency in Large Language Models. - Strong understanding of cloud computing platforms and services. - Experience with deep learning frameworks such as TensorFlow or PyTorch. - Familiarity with natural language processing techniques. - Ability to design and implement scalable AI solutions. Additional Information: - The candidate should have minimum 12 years of experience in Large Language Models. - This position is based at our Chennai office. - A 15 years full time education is required.

Looking for AI Engineer | Hyderabad to join a team of rockstar developers. The candidate should have a minimum of 6+ yrs of experience. About CodeVyasa :CodeVyasa is a mid-sized product engineering company that works with top-tier product/solutions companies such as McKinsey, Walmart, RazorPay, Swiggy , and others. We are about 550+ people strong and we cater to Product & Data Engineering use-cases around Agentic AI, RPA, Full-stack and various other GenAI areas . KEY RESPONSIBILITIES ● Design and deploy intelligent, agent-driven systems that autonomously solve complex, real-world problems using cutting-edge algorithms and AI libraries. ● Engineer collaborative agentic frameworks that coordinate multiple specialized agents to deliver advanced AI capabilities for enterprise-scale applications. ● Build and extend MCP-based infrastructure that enables secure, context-rich interaction between agents and external tools, empowering AI systems to act, reason, and adapt in real-time. ● Build human-in-the-loop agent workflows where humans benefit from AI assistance in decision-making and automation, while agents learn and improve through continuous human feedback. ● Stay abreast of the latest trends in AI research and integrate them into our products and services. ● Communicate technical challenges and solutions to non-technical stakeholders and team members. Skills Required: Fluency in Python and experience with core machine learning and deep learning frameworks (e.g., PyTorch, TensorFlow) , with a proven ability to build, train, and evaluate models in real-world environments. Solid grasp of modern ML/AI fundamentals , including representation learning, optimization, generalization, and evaluation metrics across supervised, unsupervised, and generative settings. Experience working with multimodal data, including text, image, and structured formats, and building pipelines for feature extraction, embedding generation, and downstream model consumption. Hands-on experience integrating AI models into production workflows, including model inference, API deployment, and system monitoring. Proficiency in using version control, testing frameworks, and collaborative development workflows, including Git and basic CI/CD practices. Ability to communicate clearly about system behavior, trade-offs, and architectural decisions, especially when working across interdisciplinary teams. Understanding of LLMOps/MLOps principles , including model/version tracking, pipeline reproducibility, observability, and governance in production environments. Why Join CodeVyasa? Work on innovative, high-impact projects with a team of top-tier professionals. Continuous learning opportunities and professional growth. Flexible work environment with a supportive company culture. Competitive salary and comprehensive benefits package. Free healthcare coverage.

Data Science @Dream Sports: Data Science at Dream Sports comprises seasoned data scientists thriving to drive value with data across all our initiatives. The team has developed state-of-the-art solutions for forecasting and optimization, data-driven risk prevention systems, Causal Inference and Recommender Systems to enhance product and user experience. We are a team of Machine Learning Scientists and Research Scientists with a portfolio of projects ranges from production ML systems that we conceptualize, build, support and innovate upon, to longer term research projects with potential game-changing impact for Dream Sports. This is a unique opportunity for highly motivated candidates to work on real-world applications of machine learning in the sports industry, with access to state-of-the-art resources, infrastructure, and data from multiple sources streaming from 250 million users and contributing to our collaboration with Columbia Dream Sports AI Innovation Center. Your Role: Executing clean experiments rigorously against pertinent performance guardrails and analysing performance metrics to infer actionable findings Developing and maintaining services with proactive monitoring and can incorporate best industry practices for optimal service quality and risk mitigation Breaking down complex projects into actionable tasks that adhere to set management practices and ensure stakeholder visibility Managing end-to-end lifecycle of large scale ML projects from data preparation, model training, deployment, monitoring, and upgradation of experiments Leveraging a strong foundation in ML, statistics, and deep learning to adeptly implement research-backed techniques for model development Staying abreast of the best ML practices and developments of the industry to mentor and guide team members Qualifiers: 4-6 years of experience in building, deploying and maintaining ML solutions Extensive experience with Python, Sql, Tensorflow/Pytorch and atleast one distributed data framework (Spark/Ray/Dask ) Working knowledge of Machine Learning, probability & statistics and Deep Learning Fundamentals Experience in designing end to end machine learning systems that work at scale About Dream Sports: Dream Sports is India’s leading sports technology company with 250 million users, housing brands such as Dream11 , the world’s largest fantasy sports platform, FanCode , a premier sports content & commerce platform and DreamSetGo , a sports experiences platform. Dream Sports is based in Mumbai and has a workforce of close to 1,000 ‘Sportans’. Founded in 2008 by Harsh Jain and Bhavit Sheth, Dream Sports’ vision is to ‘Make Sports Better’ for fans through the confluence of sports and technology. For more information: https://dreamsports.group/ Dream11 is the world’s largest fantasy sports platform with 230 million users playing fantasy cricket, football, basketball & hockey on it. Dream11 is the flagship brand of Dream Sports, India’s leading Sports Technology company and has partnerships with several national & international sports bodies and cricketers.

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 : Large Language Models 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 collaborating with cross-functional teams to design and implement production-ready solutions, ensuring that the applications meet high-quality standards. You will also explore the integration of generative AI models into various projects, contributing to innovative solutions that enhance user experiences and operational efficiency. Your role will require a balance of technical expertise and creative problem-solving to address complex challenges in the AI landscape. 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. - Facilitate knowledge sharing sessions to enhance team capabilities. - Mentor junior professionals to foster their growth and development. Professional & Technical Skills: - Must To Have Skills: Proficiency in Large Language Models. - Experience with cloud-based AI services and deployment. - Strong understanding of deep learning frameworks such as TensorFlow or PyTorch. - Familiarity with natural language processing techniques and tools. - Ability to design and implement scalable AI solutions. Additional Information: - The candidate should have minimum 5 years of experience in Large Language Models. - This position is based in Pune. - A 15 years full time education is required.

Machine Learning Intern (Paid) Company: Unified Mentor Location: Remote Duration: 3 months Opportunity: Full-time based on performance, with Certificate of Internship Application Deadline : 01st August 2025 About Unified Mentor Unified Mentor provides students and graduates with hands-on learning opportunities and career growth in Machine Learning and Data Science. Role Overview As a Machine Learning Intern, you will work on real-world projects, enhancing your practical skills in data analysis and model development. Responsibilities ✅ Design, test, and optimize machine learning models ✅ Analyze and preprocess datasets ✅ Develop algorithms and predictive models ✅ Use tools like TensorFlow, PyTorch, and Scikit-learn ✅ Document findings and create reports Requirements 🎓 Enrolled in or a graduate of a relevant program (Computer Science, AI, Data Science, or related field) 🧠 Knowledge of machine learning concepts and algorithms 💻 Proficiency in Python or R (preferred) 🤝 Strong analytical and teamwork skills Benefits 💰 Stipend: ₹7,500 - ₹15,000 (Performance-Based) (Paid) ✔ Hands-on machine learning experience ✔ Internship Certificate & Letter of Recommendation ✔ Real-world project contributions for your portfolio Equal Opportunity Unified Mentor is an equal-opportunity employer, welcoming candidates from all backgrounds.

Role : Sr ML Engineer - 4yrs experience - Remote Experience : 4+ Yrs Location: Bangalore/Remote Notice Period : 15 Days/ Immediate Skills : ML Engineer, Python, Deep Learning, Computer Vision, Image Processing Salary Range : 12 LPA , based on skills, experience, and interview performance Job Responsibilities: ● Deep Learning & Computer Vision Model Development: Lead and contribute to the development of deep learning-based computer vision models for real-world applications (e.g., image recognition, object detection, segmentation, tracking, etc.). ● Research & Innovation: Stay up-to-date with the latest advancements in deep learning, computer vision, and AI technologies. Evaluate and implement cutting-edge techniques to improve model performance and scalability. ● End-to-End Solution Deployment: Take responsibility for the full life cycle of a project, from conceptualizing solutions to deploying and maintaining deep learning models in production. ● Code Optimization & Model Performance: Develop and fine-tune algorithms for real-time and large-scale image/video processing. Optimize code for performance, efficiency, and scalability. ● Collaboration & Mentorship: Work closely with cross-functional teams (e.g., data scientists, software engineers, product managers) to design and implement practical AI solutions. Guide and mentor junior engineers and data scientists, providing technical leadership and ensuring high-quality code and designs. ● Research Paper Review & Knowledge Sharing: Review and contribute to research papers and publications. Organize and lead internal knowledge-sharing sessions on new techniques, industry trends, and best practices. ● Documentation & Reporting: Document models, processes, and experiments. Provide clear and concise reports on findings and progress to the leadership team. Required Skills & Qualifications: ● Industry Experience: Minimum of 3 years of industry experience working on deep learning and computer vision projects, with a strong focus on practical implementations. ● Proficiency in Python: Advanced knowledge of Python and its deep learning libraries (TensorFlow, PyTorch, Keras, OpenCV, etc.). Familiarity with other languages is a plus (e.g., C++, CUDA). ● Deep Learning Frameworks: Extensive experience using deep learning frameworks (e.g., TensorFlow, PyTorch) to develop and train models for various computer vision tasks. ● Computer Vision Expertise: Strong understanding of computer vision algorithms, techniques, and applications (e.g., object detection, segmentation, facial recognition, optical flow, etc.). ● Model Deployment: Experience with model deployment tools and techniques (e.g., TensorFlow Serving, Docker, cloud services like AWS, Azure, etc.). ● Mentorship & Leadership: Proven ability to mentor and guide junior engineers and data scientists in the team, providing technical support and helping them grow in their careers. ● Problem-Solving & Critical Thinking: Strong analytical and problem-solving skills. Ability to break down complex challenges and come up with innovative, scalable solutions. ● Communication Skills: Excellent written and verbal communication skills. Ability to explain technical concepts to non-technical stakeholders and present findings clearly. Preferred Qualifications: ● Master's or PhD in Computer Science, Engineering, or a related field. ● Experience with cloud-based services (AWS, GCP, or Azure) for deploying deep learning models. ● Familiarity with model explainability and interpretability tools.