Average salary: Rs928,824 /yearly
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- ...engineering principles, data structures, and backend development, along with foundational knowledge in machine learning and cloud technologies. Key Responsibilities: Design, develop, and maintain scalable backend services using Core Python and frameworks such as Flask or...Suggested
- ...Hi Team, Please find below our active remote requirement . Kindly share suitable CVs on a priority basis . Position: Machine Learning Engineer Experience: 3 Years Location: Remote Budget: Up to 8LPA Job Description Bachelors/Masters/Ph.D. in Computer...SuggestedHybrid workRemote job
- ...About the Role Machine Learning Operations Engineer (GEN AI ) Location : Bengaluru , Chennai , Hyderabad Preferred Immediate Joiners... ...Learning, Generative AI, cloud platforms like Azure, AWS, GCP for developing and deploying AI/ML models. Familiarity with Azure...SuggestedImmediate start
- ...the whole is greater than its parts and that everyone has a role to play in the success! Job Description: Design, develop, and optimise machine learning models for natural language processing (NLP), generative AI, and large language model (LLM) applications. Build and...SuggestedWork at office
- ...Job Summary Experience in applying machine learning/deep learning , Gen AI and Agentic AI Strong analytical and problem-solving skills... ...unsupervised techniques Proven ability to apply, debug, and develop machine learning models Establish scalable, efficient, automated...SuggestedLong term contractFull timeWork at officeWork from homeFlexible hours
- ...acquisition processes, identify relevant datasets, and oversee data preprocessing and feature engineering. Train, optimize, and deploy machine learning models, ensuring scalability, reliability, and performance. Implement robust monitoring and validation strategies to maintain...Suggested
- ..., communities and the planet Job Title: Data Science and Machine Learning Senior Associate Location: Chennai Work Type: Hybrid... ...business problems and translate them into analytical approaches. Develop ML and statistical models, hypotheses, and experiments for...SuggestedHybrid work
- ..., consolidating information from data quality to bias and drifts to support Model Risk MExperience in productizing and deploying Machine Learning solutions. Key Responsibilities Build and productize robust machine learning models, ensuring high performance in production...SuggestedFull time
- ...the right place for you! Competitive compensation packages and learning and development opportunities, ACV has what you need to advance... ...organization spans product management, engineering, data science, machine learning, DevOps and program leadership. What unites us is a deep...Suggested
- ...stakeholders Communicate system requirements to software designers and developers Choose suitable software, hardware and suggest integration... ...striving to improve and innovate, keeping things simple and learning from doing well, and not so well Are better together, we can...SuggestedLong term contractFull timeWork at officeWork from homeFlexible hours
- ...frameworks (TensorFlow Serving, TorchServe) and MLOps tools. Develop and maintain CI/CD pipelines for ML workflows. Implement... ...opportunities for exploration. Access to certifications and training programs in the latest technologies such as MLOps and Machine Learning....SuggestedHybrid workFlexible hours
- ...Staff Engineer Machine Learning Big Data team is a central player in the Poshmark organization. Our mission is to build a world-class... ...Responsibilities Explore large datasets, research and develop algorithms/models to solve interesting business problems. Design...Suggested
- ...model training, evaluation, and deployment Collaborate with data scientists and software engineers to operationalize ML models Develop and maintain CI/CD pipelines for ML workflows Implement monitoring and logging solutions for ML models Optimize ML infrastructure...Suggested
- ...Solid grasp of ML algorithms, feature engineering, and production model deployment Preferred Qualifications: AWS Certified Machine Learning – Specialty or AWS DevOps Engineer certification Knowledge of feature stores, model registries, and real-time inference...Suggested
- ...Roles & Responsibilities: Hands-on experience with AWS SageMaker, including training, deployment, and monitoring of machine learning models. Develop and maintain Python scripts using SageMaker Python SDK and work efficiently in Linux environments. Apply strong understanding...Suggested
- ...hands on problem solver with consultative approach, who can apply Machine Learning & Deep Learning algorithms to solve business challenges Use... ...– Python / R / SQL / Cloud data pipelines 4. Design , develop & deploy Deep learning models using Tensorflow / Pytorch Experience...
- ...pipelines Collaborate with other Business and Technology units to develop innovative solutions that meet business needs with respect to... ...Years of Experience: 3–5 years: Python and SQL programming, Machine Learning model development and deployment 2+ years: Generative AI,...
- ...Solid understanding of deep learning and computer vision . Capable of developing and deploying models for real-world applications . Experience with object detection . Training and optimizing models. Handling large datasets . Integrating AI into web...
- ...ML engineers This is a founding-level role with full ownership of ML at Zillwork. Technical: ~4–8 years experience in Machine Learning ~ Strong Python (NumPy, Pandas, Scikit-learn) ~ Deep learning frameworks: PyTorch or TensorFlow ~ NLP: transformer-based models...Full time
- Description : Role Overview :The Senior AI/ML Developer & Architect will design, implement, and deploy AI/ML solutions that enhance patient care, clinical decision-making, and operational efficiency.You will integrate predictive, prescriptive, and generative AI capabilities...
- ...tools (e.g., Prometheus, Grafana, Datadog, AppDynamics). ~ Partner with Data Scientists, MLOps , Cloud Engineers, and Software Developers to ensure smooth model deployments and robust CI/CD pipelines. ~ Act as the technical operations bridge between AI model...
- ...exponentially increase the customer experience. Responsibilities: Develop and implement Voice Biometric algorithms and models.... ...probability, statistics, and algorithms In-depth knowledge of machine learning frameworks, like Keras, PyTorch, etc Familiarity with data...
- ...Job Description: Developing a software pipeline for end-to-end ML Model Inference for specific... .... • Implementing cutting edge deep learning layers for various model categories like... ...Experience in implementing kernel intrinsics for Machine Learning or Computer Vision algorithms...
- ...a cutting-edge team working on Large Language Models (LLMs), Machine Learning, Deep Learning, and Retrieval-Augmented Generation (RAG) pipelines... ...real-world problems at scale. ⸻ Key Responsibilities Develop and optimize RAG pipelines: document chunking, embedding...Flexible hours
- ...solutions that make a real-world impact. We develop cutting-edge technologies that enhance decision... ...Neural Networks (CNNs) and traditional deep learning techniques. The role involves designing, developing, and deploying machine learning models for pattern recognition and time...
- Roles & Responsibilities: Develop, train, and deploy AI and Generative AI (GenAI) systems... ...such as NLP, computer vision, deep learning, and other AI applications. Utilize MLOps... ...(Pandas, NumPy). Strong experience in machine learning, deep learning, NLP, and computer...Long term contract
- ...center in India and sales operations spanning multiple countries across continents.Roles and Responsibilities :- Develop, implement, and optimize machine learning models and algorithms.- Collect and preprocess large datasets for training and evaluation.- Conduct experiments...Work at officeImmediate startWorldwide
- ...(Mid-Level) Responsibilities: Design, develop, and implement AI/ML models and algorithms... ...ML frameworks (TensorFlow, PyTorch, Scikit-learn) for model development and deployment.... ...Scikit-learn. ~ Solid understanding of machine learning concepts. ~ Ability to work both...
- ...for a Senior AI/ML Engineer , who is responsible for designing, developing, and deploying advanced AI/ML solutions to solve complex business challenges. This role requires expertise in machine learning, deep learning, MLOps, and AI model optimization , with a focus on...Job sharingPart timeHybrid workWorldwideFlexible hours
- ...Key Responsibilities: Design, develop, and deploy AI/ML solutions on the Azure platform. Implement supervised and unsupervised machine learning models and predictive analytics using Python. Perform feature generation through data exploration and subject matter expert...
