ML Ops

Min. Graduate 2024 or equivalent - Good English language proficiency: verbal, writing, reading and comprehension - Strong analytical and communication skills - Passion for delivering a positive customer experience, and maintain composure in difficult situations - Ability to effectively and efficiently complete challenging goals or assignments within defined...

Develop and manage end-to-end ML pipelines for imagery-based AI solutions. Handle preprocessing and versioning of geospatial data (satellite, drone, LiDAR). Integrate models with APIs and deploy on cloud platforms (AWS/GCP). Implement CI/CD and model monitoring for continuous delivery and performance tracking. Work closely with AI and data teams to automate...

Machine Learning EngineerWe are seeking a seasoned Machine Learning Engineer to join our team. The ideal candidate will have 2+ years of experience working with ML Ops & DS.Key Responsibilities:Deploy, monitor and scale machine learning models on cloud platforms such as AWS or GCP.Design and implement CI/CD pipelines for ML workflows using GitHub Actions or...

JOB DETAILS • Data Collection and Curation.• Select appropriate annotated datasets for Supervised Learning methods.• Use effective text representations to transform natural language into useful features.• Find and implement the right algorithms and tools for NLP tasks.• Develop ML/DL/NLP models according to requirements.• Train the developed...

*Background in natural language processing (NLP) and information retrieval*Experience with large language models (LLMs) and fine-tuning techniques*Proficiency in vector databases and semantic search algorithms*Knowledge of RAG based applications*Familiarity with machine learning ops (MLOps) and model deployment*Experience with cloud-based AI services (AWS,...

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Key Responsibilities:Develop, train, and validate predictive and analytical models using machine learning techniques.Collaborate with data engineers and business teams to define data requirements and success metrics.Deploy machine learning models into production using ML Ops best practices.Build automated pipelines for model training, testing, monitoring,...

Job Title: AI/ML Engineer (with Python & LLM Ops focus)Location:(Pan India-Remote)Experience:2–4 yearsCore ResponsibilitiesDevelop and optimize data pipelines usingPython, Pandas, and Scikit-learn .Supportprompt engineeringinitiatives for LLM-based applications.Conductmodel evaluation and testing , ensuring accuracy, reliability, and performance.Work...

Job Title:Natural Language Processing Engineer We are seeking a skilled Natural Language Processing (NLP) Engineer to join our team. As an NLP Engineer, you will be responsible for designing and developing innovative NLP solutions that drive business value. Job Description:Data Collection and Curation: Collect and curate high-quality datasets for NLP...

JOB DETAILS 1.Hands-on experience in Machine Learning model development/deployment (CI/CD)2.Working experience on all features of Azure ML Studio, ML Services and ML Ops 3.Good understanding of ML and AI concepts. Hands-on experience in ML model development is preferable 4.Creating pipelines for continuous training, evaluation, and deployment of...