Average salary: Rs1,515,587 /yearly
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- Job Responsibilities :- 5 - 10 years overall experience in software engineering- Hands-on experience working as Sr AI/ML Developer with at least 1 complete production grade agentic AI system implementation- Hands-on experience with cloud AI services (Azure OpenAI, AWS Bedrock...Suggested
- ...cloud security and compliance. The team also focuses on continuous learning and implementing new technologies to provide better value to... ...end-to-end MLOps pipelines for data ingestion, feature engineering, model training, deployment, and monitoring. Productionize...SuggestedHybrid work
- ...enterprise applications. You will directly work with people who've worked at Amazon, Facebook, Google, and other technology companies in the world. With Level AI, you will get to have fun, learn new things, and grow along with us. Ready to redefine possibilities? Join us!...SuggestedFull time
- ...ML & AI System Design and Development :- Design and implement machine learning solutions using a mix of classical ML models and LLM-based... ...design, and retrieval-augmented generation where applicable.Data Engineering and Model Readiness :- Own data preparation for ML workloads,...SuggestedHybrid work
- ...enterprise applications. You will directly work with people who've worked at Amazon, Facebook, Google, and other technology companies in the world. With Level AI, you will get to have fun, learn new things, and grow along with us. Ready to redefine possibilities? Join us!...SuggestedFull time
- ...meet you. Let’s create the future of AI in photography, together. Your Mission We are looking for an experienced Machine Learning Engineer with deep expertise in Computer Vision and Generative AI to join our team in New Delhi, India, and own the end-to-end...SuggestedPermanent employmentFull time
- Responsibilities: Fine-tune and adapt open-source speech models on our proprietary call audio Build training and evaluation pipelines for multilingual and code-mixed speech Own model quality against metrics that matter operationally — entity and numeric accuracy,...SuggestedFull time
- ...SBI Life, CRED, IDFC, and LIC. About the Role The MLOps Engineer owns the model lifecycle across all defence and strategic sector... ...can work on problems that could change how an entire country learns, works, and communicates If you want to work on problems at the...Suggested
- Job Overview :We are looking for an AI/ML Engineer with hands-on experience in developing, training, fine-tuning, evaluating, and optimizing... ...Qualification :B.Tech/M.Tech in Computer Science, AI, Machine Learning, Data Science, or a related field. Relevant certifications or...Suggested
- ...optimize AI/ML models for various use cases such as text summarization, image matching, and speech recognition.- Implement feature engineering pipelines and data pre-processing modules.- Conduct experiments and document results to improve model accuracy and latency.- Collaborate...Suggested
- AI Engineer :The AI Engineer enables Microsoft Copilot on Gold-layer semantic models and lays the AI/ML foundation for advanced analytics.... ...Fabric Notebooks-based data science workflows (Spark MLlib / scikit-learn)- Integrate Azure OpenAI / Azure AI Services where required for...Suggested
- Role Overview :We are seeking a seasoned Senior Artificial Intelligence/Machine Learning Engineer to join our innovation hub in Noida. In this high-impact role, you will architect and deploy sophisticated AI solutions that bridge the gap between complex data science research...SuggestedHybrid work
- ...Responsibilities:- Design, develop, and implement MLOps pipelines for the continuous deployment and integration of machine learning models.- Collaborate with data scientists and engineers to understand model requirements and optimize deployment processes.- Automate the training, testing...Suggested
- We are seeking a Senior Semantic Engineer to implement semantic data frameworks that provide a shared structure for enterprise data. In this role you will focus on building and maintaining ontologies and knowledge graphs, enforcing semantic validation rules for data quality,...Suggested
- ...CrewAI, AutoGen, PyTorch, and TensorFlow.- Architect and optimize machine learning pipelines, ensuring scalability, performance, and reliability... ...business objectives into AI-driven solutions.- Oversee data engineering and model deployment on cloud platforms (Azure, GCP, AWS).-...Suggested
- AI/ML Engineer :Required Exp : 1-3 YrsEmployment Type : Full TimeJob Location : Noida- Develop and implement AI and machine learning models, with a focus on generative AI technologies for vision and audio.- Research and Experimentation: Conduct research on new AI techniques...Full time
- ...Role : DevOpsExp : 2-4 yearsPreferred Location : PuneOther Location - Gurgaon/Noida/BLRJD :We are looking for a Senior DevOps & MLOps Engineer to design, automate, and manage cloud-native platforms supporting modern AI/ML applications. The role requires strong expertise in...
- We are seeking a Senior DevOps / Platform Engineer with deep AWS expertise to evolve and operate our core cloud platform, while enabling Enterprise-grade Agentic AI capabilities on top of established infrastructure. This role is focused on platform stability, scalability,...Hybrid work
- About the Role : We are hiring experienced Data Engineers for an exciting opportunity.Mandatory Skills : - Strong expertise in Advanced SQL, Python, and PySpark- Hands-on experience with Snowflake, Apache Spark, AWS Glue, and Airflow- AWS services : Lambda, Glue, S3, and related...Long term contract
- ...scalable and high-performance applications, and the ability to solve complex technical problems efficiently. You will work closely with engineering, product, and cross-functional teams to design, develop, optimize, and maintain robust software solutions.Key Responsibilities : -...
- ...and ETL workflows. In this role, you will be responsible for building robust database connections, integrating third-party APIs, and engineering scalable data pipelines across on-premises and cloud environments.Key Responsibilities : - Data Processing & Analytics : Build high...
- Job Title : Senior Data EngineerLocation : Bangalore, Pune, Chennai, Chandigarh, Mumbai, Panchkula, Delhi, Hyderabad, GurugramExperience Required : 4-8 YearsNotice Period : Immediate to 15 daysJob Description :Responsibilities :- Design and optimize data processing systems.-...Immediate start
- Python Data & Automation Engineer (AWS_SQL_ETL / ELT Focused)Experience : 3 - 8 YearsLocation : Noida / Gurugram / Bangalore / PuneNotice Period : Immediate Joiner / Serving Notice PeriodEmployment Type : Full-timeRole Overview :We are looking for an experienced Python Data...Full timeImmediate start
- YES MADAM Job Description - Data Engineering & Analytics LeadLocation : Sector 63, NoidaExperience : 8 - 12+ YearsEmployment Type : Full-TimeWork Mode : Work From Office (WFO)Function : Data Engineering, Analytics & Business IntelligenceAbout YES MADAMYES MADAM is a leading...Full timeWork at office
- About the Role:We are looking for a Mid-Level Data Engineer with 2 - 5 years of experience to develop and maintain scalable, secure, and reliable data solutions. The ideal candidate should have experience in Python, data engineering, cloud platforms, and DevOps practices.Responsibilities...
- ...TimeLocal to NCR, Immediate Joiner (Serving Notice Only)Preferred Previous MNC ExpAbout the Role:Looking for an experienced Python Data Engineer with strong expertise in Python, SQL, and ETL pipeline development. The ideal candidate should have hands-on experience in data...Full timeImmediate start
- Role Overview : We are looking for strong Data Engineering professionals with hands-on expertise in PySpark, AWS and SQL to build, optimize and support scalable ETL/ELT pipelines and cloud-based data solutions. Candidates should be comfortable working with large datasets, performance...Immediate start
- ...operation of production-grade data platforms and pipelines across cloud, hybrid, and on-premise environments.- Leading end-to-end data engineering delivery across ingestion, transformation, data modeling, orchestration, serving and productionization for analytics and AI use...Hybrid work
- ...master’s degree or PhD in computer science, data science, mathematics, statistics, engineering, or a related field ~2+ years of relevant work experience in data science, machine learning, artificial intelligence, or big data ~ Proficiency in Python, R, SQL, and other...Full timeWeekday work
- ...insights that drive business decisions. Key Responsibilities Model Development & Deployment: Design, build, and productionise machine learning models for credit scoring, risk profiling, fraud detection, and customer segmentation, calibrating existing scoring logic and...Long term contractFull timeFlexible hours