174 Ml Deployment Jobs

Join our Perception team to industrialize sophisticated low-level perception algorithms for our next generation of advanced driver assistance systems (ADAS). What should you bring along? Strong programming skills in C++ and Python , with a solid grasp of data structures and algorithms. 5+ years of Experience in deployment strategies for embedded systems, including model optimization, quantization, and runtime performance tuning Hands-on experience with machine learning frameworks such as TensorFlow , PyTorch , ONNX , or Keras . Solid foundation in computer vision , machine learning , and deep learning principles. Practical experience in implementing models for: Image classification Object de...

What awaits you? Join our perception team to industrialize sophisticated low-level perception algorithms for our next generation of advanced driver assistance systems. You use your expertise to participate actively in all development phases from prototyping, preparing the training data up to the implementation, testing and deployment of deep learning models. In your daily work, you will find yourself in an international and interdisciplinary environment with an agile mindset. What should you bring along? Solid foundation in computer vision, advanced machine learning, and deep learning principles Proficient experience with machine learning frameworks such as TensorFlow, Keras, PyTorch, or ONN...

Role Summary: Designs and implements machine learning models and algorithms to solve complex data problems. Responsibilities: Build and train ML models using structured and unstructured data. Optimize model performance and scalability. Collaborate with data scientists and software engineers. Qualifications: Bachelors or Master’s in Computer Science, AI, or related field. Experience with ML frameworks and libraries. Key Skills: Python, R TensorFlow, PyTorch, Scikit-learn Data preprocessing and feature engineering Model evaluation and deployment

Job Description Data Scientist (End-to-End Machine Learning Lifecycle) Role Overview We are looking for a Data Scientist with strong end-to-end ownership across the entire machine learning lifecycle - spanning problem framing, data exploration, feature engineering, model development, experimentation, deployment and monitoring Key Responsibilities 1. Problem Framing & Business Understanding 2. Data Exploration & Feature Engineering 3. Model Development Expertise across regression, tree-based methods (XGBoost, LightGBM), clustering, embeddings, deep learning, and NLP techniques. 4. Deployment & ML Engineering Collaboration Work closely with ML engineers to deploy models using modern MLOps tool...

Job Title: MLOps Engineer - c2h About the Role We are looking for an experienced MLOps Engineer to join our team and play a critical role in deploying, automating, monitoring, and optimizing machine learning solutions. You will collaborate closely with data scientists, engineers, and product teams to ensure scalable, reliable, and efficient ML operations. Key Responsibilities Design, build, and maintain ML pipelines for deployment and monitoring. Automate workflows to improve scalability and reduce manual intervention. Optimize performance of ML models in production environments. Collaborate with cross-functional teams to integrate ML solutions into business applications. Implement CI/CD pra...

Job Title: MLOps Engineer Description: We are seeking an experienced MLOps Engineer to join our team and play a key role in deploying, automating, monitoring, and optimizing machine learning solutions. The ideal candidate will have strong experience with Databricks, SQL, Python, PySpark, and CI/CD pipelines, along with hands-on exposure to Jenkins, SonarQube, Jira, and Git. You will collaborate with data scientists, data engineers, and DevOps teams to streamline the ML lifecycle from model development to production deployment and monitoring. Key Responsibilities Design, implement, and maintain MLOps pipelines for machine learning model deployment and monitoring. Collaborate with data scienti...

Roles and Responsibilities Design, develop, and deploy machine learning models using Python and ML pipelines. Collaborate with cross-functional teams to integrate ML solutions into existing systems. Develop data visualizations to communicate insights and results effectively. Troubleshoot issues related to model performance, data quality, and deployment. Stay up-to-date with industry trends and advancements in machine learning. Desired Candidate Profile 5-10 years of experience in Machine Learning Engineering or a related field. B.Tech/B.E. degree from a reputed institution (Any Specialization). M.Tech degree in Any Specialization (preferred but not mandatory). Strong proficiency in programmi...

Exp: 3 to 12 Years Location: Bangalore, Noida, Pune, Hyderabad, Chennai, Bhubaneswar, Madurai. Must-Have Skills Expert in CV, NLP, speech models, and multimodal transformer models Strong understanding of GPU optimization, distributed training (DeepSpeed, Horovod) Experience with real-time/near-real-time video processing Hands-on with: MLflow, Ray, Airflow KServe, Triton Inference Server Vector DBs, RAG, LangChain Good-to-Have Skills Experience with broadcast/OTT platforms, MAM systems, and DAM workflows Experience with generative imaging (Stable Diffusion) or video generation Job Description We are hiring skilled AI/ML Engineers with strong hands-on experience in Computer Vision, NLP, Speech...

Job Title: Machine Learning Engineer Overview The Machine Learning Engineer is a hybrid applied scientist and engineer role within the AI R&D team . This position combines deep technical expertise in machine learning, data engineering, and MLOps with strong business engagement skills. The role involves identifying ML-driven opportunities that deliver measurable business value, building robust ML pipelines, conducting applied research, and collaborating closely with cross-functional teams such as Product, Operations, R&D, Finance, and Services. Key Responsibilities Build and maintain end-to-end ML pipelines , including data ingestion, preprocessing, training, deployment, and monitoring. Suppo...

Design, build, deploy machine learning, statistical, optimization models into Uber production systems for a wide range of applications. Collaborate with multi-functional teams across areas such as product, engineering, operations, and design to drive system development end-to-end from conceptualisation to productionization. Understanding product performance and to find opportunities within data. Basic Qualifications ---- 3+ years of proven experience as a Machine Learning Scientist, Machine Learning Engineer, Research Scientist or equivalent. Experience in production coding and deploying ML, statistical, optimization models in real-time systems. Ability to use Python or other programming lan...

About the Role: We are seeking a highly skilled Machine Learning Engineer to design, develop, and deploy machine learning models and AI systems that drive innovation and operational efficiency. The ideal candidate will have strong expertise in machine learning algorithms, data processing, model optimization, and deployment using modern ML tools and frameworks. Key Responsibilities: Design, build, and deploy scalable machine learning models and pipelines. Collaborate with data scientists to transition models from research to production. Develop and maintain data preprocessing, feature engineering, and model training pipelines. Evaluate model performance using appropriate metrics and continuou...

About the Role: We are seeking a skilled Machine Learning Engineer to design, implement, and deploy ML models that solve complex business problems. The ideal candidate will work closely with data scientists, AI engineers, and software development teams to create scalable, production-ready machine learning solutions. Key Responsibilities: Design, develop, and deploy machine learning models for structured and unstructured data. Collaborate with data scientists to translate research prototypes into production-ready solutions . Preprocess, clean, and analyze large datasets to ensure high-quality model training . Optimize, fine-tune, and validate models to improve accuracy, efficiency, and scalab...

Coditas Solutions is seeking a highly skilled and motivated Data Scientist to join our dynamic team. As a Data Scientist, you will play a key role in designing, implementing, and optimizing machine learning models and algorithms to solve complex business challenges. If you have a passion for leveraging AI and ML technologies to drive innovation, this is an exciting opportunity to contribute to groundbreaking projects. Roles and Responsibilities Design, implement, and optimize machine learning algorithms using R and Python. Work on developing predictive models and decision-making systems. Conduct exploratory data analysis to understand data patterns and insights. Collaborate with data enginee...

REConnect Energy's GRIDConnect platform helps integrate and manage energy generation and consumption for 1000s of renewable energy assets and grid operators. We are currently serving customers across India, Bhutan and the Middle East with expansion planned in US and European markets. We are headquartered in Central Bangalore with a team of 150+ and growing. You will jointhe Bangalore based Engineering team as a senior member and work at the intersection of Energy, Weather & Climate Sciences and AI. Responsibilities: Engineering - Take complete ownership of engineering stacks including Data Engineering and MLOps. Define and maintain software systems architecture for high availability 24x7 sys...

Work Mode: Hybrid Working Hours: 9 am to 6:30 pm IST Location: Pune Experience: 10 to 12 years (with minimum 2 to 3 years hands-on in Generative AI / LLMs) Description of Position: We are seeking an experienced and hands-on AI Architect to lead our AI/ML and GenAI solution initiatives. This individual will be responsible for designing, developing, and delivering cutting-edge AI solutions using GenAI LLM models (GPT, Llama, etc.), Vector databases, and LangChain. The candidate should possess strong skills in Python, Machine learning/Deep learning architecture, NLP, OCR, and & AI platforms like Azure AI, Hugging Face, etc. The candidate will also contribute to pre-sales, lead client technical ...

ChatGPT said: AWS (SageMaker, Bedrock, Lambda, EC2, S3), ML Ops, DevOps, Docker, Kubernetes, CI/CD, Python, Bash, Infrastructure-as-Code, Monitoring, AI/ML model deployment, Cloud Security, Data Governance, Automation, Problem-solving.

Role Purpose The purpose of the role is to define, architect and lead delivery of machine learning and AI solutions Do 1. Demand generation through support in Solution development a. Support Go-To-Market strategy i. Collaborate with sales, pre-sales &consulting team to assist in creating solutions and propositions for proactive demand generation ii. Contribute to development solutions, proof of concepts aligned to key offerings to enable solution led sales b. Collaborate with different colleges and institutes for recruitment, joint research initiatives and provide data science courses 2. Revenue generation through Building & operationalizing Machine Learning, Deep Learning solutions a. Devel...

Role Purpose The purpose of the role is to define, architect and lead delivery of machine learning and AI solutions. Do 1. Demand generation through support in Solution development a. Support Go-To-Market strategy i. Contribute to development solutions, proof of concepts aligned to key offerings to enable solution led sales b. Collaborate with different colleges and institutes for research initiatives and provide data science courses 2. Revenue generation through Building & operationalizing Machine Learning, Deep Learning solutions a. Develop Machine Learning / Deep learning models for decision augmentation or for automation solutions b. Collaborate with ML Engineers, Data engineers and IT t...

You will be working as a Sr. Full Stack Engineer at Cognida.ai in Hyderabad/Hybrid location. Your primary focus will be on developing and maintaining the core platform, while also creating proofs-of-concept and demos for client engagements. Your role will involve a combination of technical expertise, data visualization, and machine learning implementation. Key Responsibilities: - Dedicate 70% of your time to platform development, including: - Designing and implementing new features for the proprietary platform - Fixing bugs and conducting regular maintenance for platform stability - Optimizing performance and scalability of existing components - Creating reusable frameworks and components fo...

Job Title: MLOps Engineer Job Type: Full-time(8hours/day) Contract Location: Hybrid Gurugram Job Summary: We are seeking an experienced MLOps Engineer to join our customer's team in a hybrid role based in Gurugram. You will play a pivotal role in enabling seamless model development, deployment, and monitoring, collaborating directly with clients and stakeholders to deliver robust AI solutions. Key Responsibilities: Design, implement, and manage the end-to-end MLOps pipeline, including model development, deployment, versioning, and monitoring. Leverage AWS services such as SageMaker, Lambda, S3, CodeBuild, CodeCommit, and Step Functions for scalable model operations. Integrate CI/CD and DevOp...

Hello All, My name is Deepak RE working with Cogent Infotech. Please read the below job description in detail & then Apply, if you have any questions feel free to text through google chat or mobile text. Connect with me through LinkedIn if you're active for future opportunities. This opportunity is Night Shift (PST) so please apply only if you have worked prior in Night shift. No Rotational Only PST Working hours. Machine Learning Engineer (Lead & Senior) (Remote) 5 Positions Core Experience 5-10+ years of professional experience as a Machine Learning Engineer Experience designing, developing, deploying, and supporting machine learning models and platforms for medium to large sized projects ...

Job Title: Manager/ Senior Manager - Cloud Infrastructure & Operations Job Type: Regular Full-Time Reporting to : General Manager- IT Solutions & Infrastructure No. of Positions : 1 Department : IT Solutions & Infrastructure Location : Bangalore Role Overview: This role will be instrumental in ensuring our academic institutions IT infrastructure is secure, scalable, cost-effective, and aligned with our mission to support education and research excellence. The ideal candidate will bring deep technical expertise in cloud platforms, infrastructure automation, and CI/CD practices, with a growing focus on enabling AI/ML workloads in production environments. They will also possess strong skills in...

Job description Join krtrimaIQ Cognitive Solutions, a leading AI/ML company enabling intelligent enterprises through advanced technologies like machine learning, NLP, computer vision, and automation. Be part of a dynamic team transforming data into powerful business decisions. Role: AI/ML Engineer Experience: 3+years Location: Bangalore Preferred: Ready to join immediate to within 15 days Responsibilities Design, develop, and deploy AI/ML models using Large Language Models (LLMs) and Multimodal LLMs. Work on building and optimizing Retrieval-Augmented Generation (RAG) pipelines for real-world use cases. Implement and fine-tune transformer models using Hugging Face and PyTorch. Conduct experi...

As the Head of Data at our company, you will have the responsibility to oversee and manage the data processes to ensure efficiency and accuracy. Your role will involve the following key responsibilities: - Design, develop, and optimize ETL/ELT pipelines for structured and unstructured data processing. - Maintain a modern data warehouse/lakehouse architecture. - Implement data partitioning, indexing, and performance tuning strategies for improved efficiency. - Establish robust cataloging, data quality rules, validation checks, and monitoring systems with a focus on data privacy and security guidelines. - Take ownership of business metrics from data extraction to analysis, hypothesis generatio...

Job Summary: The ML Engineer will be responsible for designing, developing, and deploying machine learning models and AI solutions. This role involves collaborating with data scientists, software engineers, and business stakeholders to deliver production-ready ML systems that meet business requirements and improve operational efficiency. Key Responsibilities: Design, develop, and implement machine learning models for various business applications. Preprocess, clean, and analyze large datasets from multiple sources. Collaborate with data scientists to understand modeling requirements and translate them into production-ready solutions. Deploy, monitor, and maintain ML models in production envi...