AI/ML Developer Internship in work from home, India

About the Role:We are looking for a Senior AI Developer Engineer with strong hands-on experience in AI, Generative AI, Agentic AI, and intelligent automation. The ideal candidate should be proficient in Python and experienced in building secure, scalable, production-grade enterprise AI solutions using modern AI frameworks ...

... provides instant health advice through a seamless, voice-first experience. Role Overview: Lead AI Engineer We are hiring a Senior AI Engineer in Gurgaon to drive AI-driven healthcare innovations. The ideal candidate has 3+ years of AI/ML experience, 1+ year of GenAI production experience, and 1+ year of hands-on GenAI product ...

... tools or ML model validation platforms. Comfort working in Agile, distributed teams using tools like Git, JIRA, and Slack. You'll work at the intersection of AI, data infrastructure, and impact—contributing to platforms that ensure AI is explainable, auditable, and ethical at scale. Join a team building the next generation ...

About the Role:We are looking for a Senior AI Developer Engineer with strong hands-on experience in AI, Generative AI, Agentic AI, and intelligent automation. The ideal candidate should be proficient in Python and experienced in building secure, scalable, production-grade enterprise AI solutions using modern AI frameworks ...

• Full-time

... processing, model development, and production deployment . You will work closely with engineering, product, and business teams to translate requirements into scalable AI/ML solutions and take models from experimentation through production. Requirements KEY RESPONSIBILITIES - Design, develop, test, and deploy scalable AI/ML models ...

... query optimization and data access strategies for APIs serving real-time compliance dashboards, establishing benchmarks and SLOs Lead data infrastructure work for AI/ML features, including dataset curation, feature engineering, and pipeline design supporting cloud-native AI capabilities Define and enforce data quality standards, ...

• Hybrid

... estimated cost, time, and quality within planned scope. Covers management of risks that affect the delivery of project outcomes. Lead the full project lifecycle for AI/ML and GenAI initiatives — scoping, planning, resourcing, execution, and closure — using Agile, Scrum, or hybrid methodologies. Manage cross-functional squads ...

About Costco Wholesale: Costco Wholesale is a multi-billion-dollar global retailer with warehouse club operations in eleven countries. They provide a wide selection of quality merchandise, plus the convenience of specialty departments and exclusive member services, all designed to make shopping a pleasurable experience ...

... applications. Fine-tune, evaluate, and optimize LLM-powered applications for accuracy, latency, and cost. Implement data preprocessing, feature engineering, and ML model training workflows. Work with structured and unstructured datasets to solve business problems. Collaborate with Product Managers, Software Engineers, and ...

• Full-time

... Azure, GCP) and MLOps tools. - Familiarity with vector databases, RAG pipelines, and LangChain or similar frameworks. - Proven track record of delivering Gen AI solutions in production. - Master's in Computer Science, AI/ML, or related field. Experience in domain-specific Gen AI applications (e.g., Experience - 5 + Years ...

... skills and a successful track record of manipulating, processing and extracting value from large and heterogeneous datasets. - Practical experience developing AI/ML or generative-AI solutions, including prompt design, structured outputs and systematic evaluation. - Working knowledge of cloud platforms, preferably AWS, and ...

... regulatory domains Familiarity with MLOps tooling (MLflow, Docker, Kubernetes, Azure DevOps or GitHub Actions) Hands-on experience with agentic AI frameworks (LangChain, LlamaIndex, Semantic Kernel), LLM evaluation tooling, and production deployment of GenAI applications Knowledge of responsible AI practices, including fairness, ...

... evaluate, and scale predictive models using XGBoost, LightGBM, and Deep Learning for underwriting, credit line assignment, and collections. Familiarity with gen-AI techniques for feature creation and transaction tagging on bank transactional data is a plus. - Credit Risk Modeling: Build credit risk models for sub-prime and ...

• Hybrid

... Graduate degree or equivalent experience.- PhD or Masters degree in computer science, Machine Learning, or related field.- 10+ years of experience in applied AI/ML with statistics, with a strong track record of delivering production-grade models.- Deep expertise in NLP, Fundamental machine learning, deep learning, transformer, ...

• Hybrid

... NumPy, Scikit-learn, ML/DL frameworks) SQL (advanced queries, optimization) PySpark (distributed data processing) Experience in building, deploying, and evaluating ML models Strong problem-solving skills with the ability to work in a hybrid setup Responsibilities Develop and optimize ML/GenAI models for business use cases Work ...

... technical specifications. Experience with Whiz AI or product-based environments is preferred. A strong product mindset is mandatory. Candidates who have worked for Saas and UI/UX products Business Analyst who has used AI/ML OR LLMs, OR agentic AI. Super good communication Single round of interview – direct with Client

About the role — We are seeking a skilled Data Scientist to join our team, focusing on the development and implementation of advanced AI models. The ideal candidate will leverage generative AI and large language models (LLM) to enhance our data-driven decision-making processes. Key responsibilities : Design and develop ...

60k

... frameworks (e.g., Experience with microservices architecture, message brokers (e.g., Experience with RPA tools or frameworks (e.g., Experience with Generative AI technologies, including working with frameworks like TensorFlow, PyTorch, or Hugging Face, and integrating AI/ML models into software applications. - Experience ...

$375 USD

... AI-native software solution that can be deployed anywhere. It transforms legacy data silos into data pipelines that dramatically increase GPU utilization and make AI model training and inference, machine learning, and other compute-intensive workloads run faster, work more efficiently, and consume less energy. We've raised ...

• Full-time

... Celery or other queue mechanism is Must Good to Have: - Experience working with Docker and cloud platforms (AWS/GCP/Azure) is good to have - Familiarity with ML model serving is Nice to have. - Exposure to GenAI (e.g., llama, OpenAI, HuggingFace, LangChain, Agentic AI etc) or Data Engineering (e.g., Data platforms, pandas, ...