622 machine learning training jobs in India.

... Responsible for the P&L for the clients handled with a focus on high quality service delivery. Talent retention Ensure the team understands client specific training requirements / needs etc. Analyze performance results of the team and implement process improvements Determine appropriate staff levels and implement strategies ...

• Remote
• Contract

$145600 USD - $187200 USD / hour

... architecture and capabilities, including: - NeuronCore-v2 architecture - On-chip SRAM topology - FP32, BF16, FP8, and INT8 data types - Experience benchmarking machine-learning training workloads on Trn1 or Trn2 instances. Compensation & Engagement - Rate: $70–$90/hour - Annualized Equivalent: $145,600–$187,200 - Location: ...

• Remote
• Contract

$145600 USD - $187200 USD / hour

... architecture and capabilities, including: - NeuronCore-v2 architecture - On-chip SRAM topology - FP32, BF16, FP8, and INT8 data types - Experience benchmarking machine-learning training workloads on Trn1 or Trn2 instances. Compensation & Engagement - Rate: $70–$90/hour - Annualized Equivalent: $145,600–$187,200 - Location: ...

• Contract

... systems analysis - Maintain current knowledge of trends and issues in instructional design and training - Understand technology to effectively design your learning and performance support tools - Leverage innovative learning technologies and platforms to deploy learning, including the Johnson Controls Workday Learning ...

• Hybrid

Job Description :- Develop end-to-end training and fine-tuning of Large Language Models (LLMs), including both open-source (e.g., Qwen, LLaMA, Mistral) and closed-source (e.g., OpenAI, Gemini, Anthropic) ecosystems.- Deep knowledge and extensive experience with Machine/Deep Learning frameworks including transformer architectures, ...

• Full-time

... expertise in Machine Learning, Large Language Models (LLMs), Small Language Models (SLMs), LangChain, and LangGraph . The role focuses on designing, developing, training, evaluating, and deploying intelligent AI solutions using modern machine learning and generative AI technologies. The ideal candidate will have strong Python ...

... Python/PySpark libraries. Development on Databricks or Dataiku DSS is a plus.- Strong experience on Spark with Scala/Python/Java.- Proficiency in building, training, and evaluating state-of-the-art machine learning models and deployment.- Proficiency in Statistical and Probabilistic methods such as SVM, Decision-Trees, ...

... Python/PySpark libraries. Development on Databricks or Dataiku DSS is a plus.- Strong experience on Spark with Scala/Python/Java.- Proficiency in building, training, and evaluating state-of-the-art machine learning models and deployment.- Proficiency in Statistical and Probabilistic methods such as SVM, Decision-Trees, ...

... patterns. Machine Learning Libraries: Advanced proficiency in scikit-learn (sklearn) for data preprocessing, feature engineering, and baseline modelling. Deep Learning Frameworks: Core expertise in PyTorch (preferred) or TensorFlow for building, customizing, and training deep neural networks from scratch. Big Data Ecosystem: ...

• Contract

... or a closely related field, or holding a current postdoctoral research position in Machine Learning Strong grounding in Machine Learning and reinforcement learning, including RLHF Hands-on experience with multi-objective policy optimisation Solid knowledge of transformer architectures and LLM post-training (fine-tuning, ...

... continuous improvements. Write clean, maintainable, and well-tested Python code following engineering best practices. Stay updated with the latest advancements in Machine Learning, LLMs, and Agentic AI technologies. Required Technical Skills Strong proficiency in Python Machine Learning fundamentals Natural Language Processing ...

• Hybrid

... optimize AI models to improve accuracy, robustness, scalability, and business value. Work with structured and unstructured datasets to prepare data for AI model training, validation, and inference. Design and optimize data pipelines supporting AI and machine learning workflows. Perform feature engineering, data transformation, ...

• Remote
• Full-time

160 / year

... machine learning models and algorithms to address specific business challenges. Conduct research to improve existing models and explore new approaches in AI and machine learning. Collaborate with cross-functional teams to integrate machine learning solutions into production systems. Analyze large datasets to identify patterns ...

... system capabilities.3. Data Processing :- Oversee data collection, preprocessing, and feature engineering to ensure high-quality input for AI models.4. Model Training and Evaluation :- Train and fine-tune machine learning models using large datasets and rigorously evaluate model performance using appropriate metrics.5. Infrastructure ...

... towards Research and Development of Computer vision and AI solutions for embedded devices- Technically guide and mentor research team in developing advanced Machine learning algorithms for Computer Vision- Working closely with multiple stakeholders to bring Research outcome in https://jobeax.com/link/Qy4mGRcOxm0YX1TR and ...

... latency, throughput, and cost efficiency.- Build CI/CD pipelines for ML workloads.- Deploy AI models using Docker, Kubernetes/AKS, and FastAPI.- Work with Azure Machine Learning for experiment tracking, model registry, training, and deployment.- Implement model monitoring, logging, metrics, alerts, and drift detection.- Integrate ...

... and more. Job Title: Data Scientist 2 Understand data landscape Perform ad-hoc analysis and present results in a clear manner Work on the full lifecycle of machine learning development including sourcing, dataset curation, feature engineering, model training, model tuning, and offline & online experimentation Strong programming ...

• Hybrid

... including strong experience delivering ML solutions in production or product environments - Proven hands-on experience developing and deploying production-grade machine learning models, not just analytical prototypes or notebooks - Strong expertise in supervised and unsupervised learning, including model selection, feature ...

• Remote

... ability to work independently, take ownership of projects, and collaborate effectively with a team. Cloud Experience: Hands-on experience with AWS, Azure, or GCP. Machine Learning: Familiarity with ML concepts and popular libraries (e.g., Best-in-industry learning and growth opportunities. Comprehensive Health and wellness benefits, ...

• Remote

Tiger Analytics is a fast-growing AI and advanced analytics consulting firm. Our consultants bring deep expertise in Data Science, Machine Learning and Big Data. We are the trusted analytics partner for several Fortune 100 companies, enabling them to generate business value from data. We are working to build one of the ...