189 Ml Frameworks Jobs - Page 4

As a Generative AI Expert, your role will involve designing, developing, and optimizing Transformer-based models for various generative tasks such as text summarization, Q&A, content creation, and code generation. You will be required to implement deep learning techniques with a focus on batch normalization, dropout, residual connections, and attention mechanisms to enhance model training and convergence. Additionally, you will build and train contrastive learning frameworks for representation learning and fine-tuning pre-trained models on domain-specific data. Your responsibilities will also include developing scalable information retrieval systems and optimizing model performance for infer...

Location: Remote / Pan India , Mumbai, Delhi / NCR, Bengaluru , Kolkata, Chennai, Hyderabad, Ahmedabad, Pune, Remote Notice Period: Immediate iSource Services is hiring for one of their client for the position of AI/ML Engineer. About the Role - We are looking for a highly skilled ML Engineer with experience in cutting-edge design patterns and AI-powered applications. The ideal candidate will have a deep understanding of agentic design patterns, multi-modal RAG Systems, and practical product development experience. Design and implement Agentic Design Patterns, such as ReAct and ReWoo, to enhance the functionality and adaptability of AI systems. Utilize LLMCompiler to create efficient and sca...

Role Overview: As a Data Scientist at our company, you will play a crucial role in supporting the development and deployment of machine learning models and analytics solutions that enhance decision-making processes throughout the mortgage lifecycle, from acquisition to servicing. Your responsibilities will involve building predictive models, customer segmentation tools, and automation workflows to drive operational efficiency and improve customer outcomes. Collaborating closely with senior data scientists and cross-functional teams, you will be tasked with translating business requirements into well-defined modeling tasks, with opportunities to leverage natural language processing (NLP), sta...

Role Overview: As a Developer contracted by Luxoft for supporting customer initiatives, your main task will involve developing solutions based on client requirements within the Telecom/network work environment. You will be responsible for utilizing technologies such as Databricks and Azure, Apache Spark, Python, SQL, and Apache Airflow to create and manage Databricks clusters for ETL processes. Integration with ADLS, Blob Storage, and efficient data ingestion from various sources including on-premises databases, cloud storage, APIs, and streaming data will also be part of your role. Key Responsibilities: - Develop solutions based on client requirements in the Telecom/network work environment...

Role Overview: At Zebra, you will be part of a community of innovators dedicated to creating new ways of working to improve everyday life. United by curiosity and care, the team at Zebra develops dynamic solutions that anticipate the needs of customers and partners and solve their challenges. As a member of Zebra Nation, you will be seen, heard, valued, and respected, collaborating with diverse perspectives to deliver on the company's purpose. You will have the opportunity to learn and lead at a forward-thinking company, shaping a fulfilling career path while contributing your skills to causes you care about locally and globally. Join a team that is redefining the future for organizations, t...

Leadership and Team Management : Lead and mentor the existing data science engineers, fostering skill development and collaboration. Provide technical guidance, code reviews, and ensure best practices in model development and deployment. Model Development and Innovation : Design and build machine learning models for tasks like NLP, recommendation systems, customer segmentation, and predictive analytics. Research and implement state-of-the-art ML/AI techniques to solve real-world problems. Ensure models are scalable, reliable, and optimized for performance in production environments. We operate in AWS and GCP, so its mandatory that you have previous experience in setting up the MLOps workflow...

AI/ML Location : Kolkata | Experience : 02 years Team : Product Development | Company : Sisir Radar Responsibilities: Assist in integrating ML models for image classification, anomaly detection, and predictive analytics Work with geospatial libraries (e.g., GDAL, Rasterio) and ML frameworks (e.g., TensorFlow, PyTorch) Support data preprocessing and model deployment pipelines Strong foundation in ML/DL concepts Use Git and Linux command-line tools for development and deployment Qualifications: Bachelors in Computer Science, Engineering, or equivalent qualification Excellent problem-solving, communication, and collaboration skills If you want to be a part of this path-breaking technology compa...

As an AI/ML Architect at our company, you will be responsible for designing and implementing end-to-end AI architectures across various machine learning domains such as computer vision, NLP, recommendation systems, and predictive modeling. Your role will involve guiding the implementation of AI solutions to align with business objectives and ensuring scalability, security, and performance. Key Responsibilities: - Define and oversee the overall AI/ML architecture for projects, ensuring scalability, security, and performance. - Design, prototype, and supervise the development of AI/ML models in areas such as vision, NLP, forecasting, and generative AI. - Collaborate with engineering teams to i...

You will be responsible for the following tasks: - Bringing up, testing, and debugging neural networks using ML frameworks like TensorFlow, PyTorch, ONNX for Blaize-GSP. - Bringing up and enhancing TVM features. - Analyzing and enhancing efficiency & stability of neural networks. - Developing & maintaining Model Conversion Tool software stack for Blaize-GSP. - Performing Network Optimization, Node fusion, graph lowering, adding custom operations, profiling & performance fine-tuning. - Model Quantization. To qualify for this position, you should have: - MS or BS in computer science or Electronics. - 8-12 years of relevant experience or an equivalent combination of experience and education. Ke...

Job Description AI Solutions Development Manager Role overview As an AI Solution Development Manager, you are responsible for delivering AI-driven solutions that address complex business challenges and generate measurable value. You will lead cross-functional teams, drive project delivery, and act as the primary bridge between stakeholders and technical teams. Your focus is on ensuring timely, high-quality solution delivery, managing stakeholder expectations, and continuously seeking new opportunities for AI innovation and business transformation. Accountable for technical delivery excellence while managing a portfolio of AI implementation projects. You are responsible for ensuring our busin...

Role & Responsibilities Design, build, and deploy ML models for churn prediction, Customer 360, personalization, and predictive analytics. Perform statistical analysis, data visualization, and generate actionable insights for business stakeholders. Conduct model QA, validation, drift monitoring, and ensure business alignment. Collaborate with Martech, Digital, and Commercial teams to operationalize models into workflows. Build dashboards and reports to track model accuracy, performance, and outcomes. Preferred Candidate Profile 4-8 years of experience in Data Science, Machine Learning, and Advanced Analytics. Strong hands-on skills in Python, SQL, and ML frameworks (Scikit-learn/TensorFlow/P...

As a passionate individual about teaching and shaping the next generation of tech leaders, you have the opportunity to join VGU NextGen, Jaipur as an experienced Technical Trainer focusing on Cloud, Full Stack Development, AI & ML. **Role Overview:** You will be responsible for delivering engaging training sessions in Cloud, Full Stack Development, and AI & ML. Additionally, you will develop hands-on labs, projects, and real-world case studies while mentoring and guiding learners in their career journey. It is essential to stay updated with the latest industry trends to provide relevant and impactful training. **Key Responsibilities:** - Deliver engaging training sessions in Cloud, Full Stac...

As a Lead Software Engineer Machine Learning, your role will involve driving the design, development, and deployment of advanced machine learning solutions. You will need to showcase strong leadership skills, deep technical expertise, and the ability to guide teams in solving complex, large-scale problems using cutting-edge ML technologies. Your responsibilities will include defining and leading the strategy and roadmap for ML systems and applications, architecting scalable machine learning systems, and collaborating with cross-functional teams to identify ML use cases and requirements. Mentoring junior engineers, monitoring and improving the performance of machine learning systems, and lead...

In this role, you will be responsible for: - Building & maintaining ETL/ELT pipelines to ensure data accuracy and quality. - Working with large datasets to collect, clean, and prepare data for analysis. - Designing & implementing predictive models and collaborating with Data Science teams. - Creating dashboards & reports using tools like Tableau, Power BI, matplotlib, and Seaborn. - Working with cloud platforms such as AWS, Azure, GCP, and databases like SQL, MongoDB, PostgreSQL, and MySQL. - Collaborating with cross-functional teams to solve business problems using data. Preferred Skills: - Proficiency in Big Data tools like Spark, Hadoop. - Experience with ML Frameworks such as TensorFlow,...

Role Overview: We are seeking an experienced Senior Data Scientist to lead data-driven initiatives, perform advanced exploratory data analysis, and build & deploy scalable machine learning models. The ideal candidate will have strong expertise in Python, generative AI (GenAI), and machine learning deployment frameworks, with a good understanding of the life sciences domain. Key Responsibilities: 8 to 10 years of experience in leading design and development of advanced ML and Generative AI models. Drive end-to-end data science projects from data preparation to deployment. Apply LLMs, transformers, and other GenAI techniques to business problems. Guide and mentor junior data scientists in tech...

Role Overview: Are you passionate about teaching and shaping the next generation of tech leaders VGU NextGen, Jaipur is seeking an experienced Technical Trainer to become a part of their team. As a Technical Trainer, you will be responsible for delivering engaging training sessions in Cloud, Full Stack Development, and AI & ML while mentoring and guiding learners in their career journey. Stay updated with the latest industry trends and be a part of building the future of tech at Vivekananda Global University, Jaipur. Key Responsibilities: - Deliver engaging training sessions in Cloud, Full Stack Development, and AI & ML - Develop hands-on labs, projects & real-world case studies - Mentor and...

Full time with Global MNC in to ecommerce logistics As we scale and grow, Data will be our backbone to drive efficiency initiatives in our ecosystem. We are looking for a Head of Product for Data who will be responsible for managing 3 pillars of Data Analytics & BI, Data Governance and Data AI. A DAY IN A LIFE As a start up, you can expect your days to be pretty varied. Multitasking is normal, and sometimes, your skills or natural talents will be leveraged to support other business priorities. That said, the bulk of your working hours should involve you having to: Work with group stakeholders throughout the organization to identify opportunities for leveraging company data to drive business ...

Key Responsibilities: Design and implement cloud architecture for AI/ML, LLM model deployment, monitoring, and scaling Deploy models using Docker, Kubernetes, and CI/CD pipelines across cloud environments on Azure or GCP Optimize AI model serving using tools like TensorFlow Serving, TorchServe, ONNX Runtime, Triton Inference Server, etc. Build and manage IaC using Terraform, or CloudFormation Implement security best practices, autoscaling, logging, monitoring (Prometheus/ Grafana/ ELK), and disaster recovery plans Collaborate with ML engineers to produce prototypes into resilient, cloud-native services Benchmark and tune deployments for low latency, high throughput, and cost optimization Req...

As an AI Engineer at Logistic Infotech Pvt. Ltd., you will be responsible for architecting and implementing multi-agent AI systems using CrewAI and LangChain for real-time logistics optimization. Your key responsibilities will include developing autonomous agents capable of decision-making, task delegation, and inter-agent communication, conducting A/B testing and beta testing for AI workflows, building and deploying Agentic & RAG-based chatbots and LLM applications, integrating AI with logistics platforms (TMS/WMS) and external APIs, setting up dashboards & monitoring tools for system KPIs, as well as leading and mentoring junior engineers while collaborating with cross-functional teams. Qu...

Choosing Capgemini means choosing a company where you will be empowered to shape your career in the way you'd like, where you'll be supported and inspired by a collaborative community of colleagues around the world, and where you'll be able to reimagine what's possible. Join us and help the world's leading organizations unlock the value of technology and build a more sustainable, more inclusive world. Your Role Design, implement, and maintain end-to-end ML pipelines for model training, evaluation, and deployment Collaborate with data scientists and software engineers to operationalize ML models, serving frameworks (TensorFlow Serving, TorchServe) and experience with MLOps tools Develop and m...

About the Role Were seeking a Machine Learning Engineer with strong expertise in Python, PySpark, and ML frameworks to work on advanced AI/ML projects. The role involves building, maintaining, and optimizing ML models, conducting data exploration, and applying cutting-edge algorithms to deliver actionable insights. Primary Skills & Responsibilities 6-8 years of programming experience in Python / PySpark with ML libraries Strong understanding of ML concepts: Probabilistic Models, Supervised & Unsupervised Learning, Ensemble Techniques, Hyperparameter Tuning Experience with constraint optimization and deep learning models Proven experience in building ML models: Regression, Logistic Regression...

Key Skills: AWS Bedrock & Claude LLM AWS Lambda & Serverless Architecture Docker & Containerization MLOps & CI/CD for ML Python & ML Frameworks (TensorFlow, PyTorch, etc.) NOTE: Apply only if you have relevant experience in this domain.

We are seeking a hands-on leader to play a crucial role in shaping the future of AI/ML and SaaS platforms at scale. This position involves a combination of architecture, coding, and mentorship, providing an exciting opportunity to drive enterprise AI adoption. As part of your responsibilities, you will be expected to build and scale AI/ML solutions such as LLMs, RAG, and automation. You will remain hands-on by participating in coding and design reviews, as well as mentoring teams and promoting best engineering practices. Collaboration with product and business teams to deliver high-impact use cases will also be a key aspect of this role. The ideal candidate should possess over 15 years of ex...

As a Senior Python Developer specializing in AI/ML at NS Ventures, you will be responsible for designing, developing, and deploying AI-driven applications. In this role, you will collaborate with global teams to work on advanced ML models, cloud-based deployments, and scalable backend systems. Your primary responsibilities will include developing and deploying scalable AI/ML models in Python, collaborating with data scientists to implement ML solutions, building and maintaining data pipelines for training and inference, creating APIs (using FastAPI/Django/Flask) to serve ML models, optimizing models for performance and efficiency, as well as deploying and managing solutions on cloud platform...

As a seasoned professional with extensive experience in machine learning operations (MLOps), you will be responsible for leading a talented team and developing a comprehensive technical strategy. Your expertise in Python programming and ML frameworks such as TensorFlow or PyTorch will be crucial in implementing MLOps best practices, including model versioning, monitoring, automated deployment, and infrastructure automation. Your in-depth knowledge of Google Cloud Platform services, including Data Fusion, Dataproc, and Dataflow, will play a key role in data processing and pipeline orchestration. Experience with PostgreSQL databases and data integration tools like Qlik Replicate will further e...