Machine learning jobs in Mumbai

 ...design reviews to identify weaknesses in software solutions. Required Skills & Experience: Strong knowledge in Data Science, Machine Learning, Deep Learning, Data Analytics, and Data Visualization. Experience with tools and packages such as Matplotlib, Seaborn, Scikit... 

 ...As a Data Scientist, you will play a crucial role in developing and implementing advanced machine learning and deep learning models including LLMs. The ideal candidate will have a minimum of 3 years of hands-on experience in machine learning, with a strong focus on deep learning... 

 ...and develop models using programming languages and frameworks such as Python, TensorFlow, Keras, Numpy, and PyTorch • Utilize AWS for machine learning and deep learning applications • Collaborate with cross-functional teams to deploy AI solutions on cloud platforms... 

 ...with 3-6 years of experience to join our dynamic team in India. The ideal candidate will have a strong background in data analysis, machine learning, and statistical modeling. You will be responsible for analyzing complex datasets, developing predictive models, and... 

 ...multiple sources (sales, supply chain, customer behavior) to generate actionable insights. Predictive Modelling: Develop and deploy machine learning models to forecast demand, optimize inventory, and improve product availability. Supply Chain Optimization: Use advanced... 

 ...looking for an experienced and innovative Data Scientist to join our team. The ideal candidate will leverage advanced analytics and machine learning techniques to extract valuable insights from our vast B2B dataset and develop predictive models to enhance our product offerings.... 

 ...We’re seeking a skilled Data Scientist with expertise in  SQL, Python, AWS Sagemaker, Machine Learning with focus on Unsupervised Learning techniques to contribute to Team. You’ll design predictive models, uncover actionable insights, and deploy scalable solutions to recommend... 

 ...Key Responsibilities Analyze large datasets to discover trends and patterns Build predictive models and machine-learning algorithms Collaborate with product, engineering, and marketing teams to implement data-driven strategies Identify opportunities for data acquisition... 

 ...Skill: Data Scientist Location: Mumbai Experience: 10 to 16 Years Job Description: Mandate Skills: Statistical & Machine Learning : Proficient in building supervised learning models (e.g., regression, classification, decision trees, ensemble methods).... 

 ...Collect, preprocess, and analyze structured and unstructured data to derive actionable insights. Build predictive models and machine learning algorithms to address business problems. Apply ensemble modeling techniques to improve model accuracy and robustness. Identify... 

 ...business requirement and provide technical solution for the business problem. Build predictive models using advanced statistical, machine learning techniques and generate actionable insights and recommendations. Communicate and present the findings with internal/external... 

 ...analysis Required Skills & Experience: ~3 years of experience in data scientist role ~ Have knowledge of working on Power BI machine learning and visualization Good to have: Well versed with Analyze data and prepare reports for management Familiarity of... 

 ...Deep knowledge of machine learning algorithms, statistics, and data modeling techniques • Proficiency in Sagemaker, JupyterNotebooks, ML, AI, Deeplearning, Python, Frameworks like PyTorch, Tensor. Ecosystems like Huggingface, Practices like MLOps • Experience with ML development... 

 ...internet / B2C products. ● Degree in Statistics, Computer Science, or Engineering (or certification in Data Science). ● Machine Learning wizardry: recommender systems, NLP, user profiling, image processing, anomaly detection. ● Statistical chops: finding... 

 ...and results-driven Data Scientist with 2–3 years of experience to join our data science team. This role involves building robust machine learning and deep learning models for high-impact financial use cases such as fraud detection, risk scoring, personalization, and automation... 

 ...Technical Skills - Must Have Strong proficiency in Python and its data science libraries (pandas, numpy, scikit-learn) Good understanding of machine learning algorithms (regression, classification, clustering) Experience with SQL for data extraction and manipulation... 

 ...datasets from multiple sources (clickstream, sales, user engagement) to uncover insights and support business decision-making. Machine Learning: Develop, deploy, and maintain machine learning models for recommendations, personalization, customer segmentation, demand... 

Level : Senior position- Expertise in supervised, unsupervised, machine learning, deep learning, reinforcement learning, statistics techniques. - Proficiency in Python, PyTorch, TensorFlow. - Good to have knowledge of Bayesian inference, probability distribution, hypothesis... 

 ...storytelling with data; can align stakeholders and drive decisions.- Must have 2+ years of hands-on experience as a Data Scientist or Machine Learning Engineer building ML models- Must have strong expertise in Python with the ability to implement classical ML algorithms including... 

 ...with a strong focus on GenAI integrations and APIs . ~ Proficiency in Python , including libraries like TensorFlow, PyTorch , Scikit-learn, and Pandas. ~ Strong expertise in statistical modeling and ML algorithms (Regression, Classification, Clustering, NLP, etc). ~... 

 ...Collaborate with consulting teams to enhance and deploy Sias AI assets (SiaGPT AI Labs) into client environments. Build and optimise machine learning models across supervised/unsupervised learning NLP and deep learning. Implement data pipelines feature engineering and model... 

 ...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 programming languages and tools for data... 

 ...The Role Were hiring a Data Scientist to help us unlock growth through advanced analytics and machine learning. This role sits at the intersection of marketing performance product optimization and decision science. Youll partner closely with Paid Media Product... 

 ...customers and our communities. The Role We are seeking a skilled Data Scientist with 2-5 years of experience in Data Science and Machine Learning, preferably with experience in NLP, Generative AI, LLMs, MLOps, Optimization techniques, and AI solution Architecture. In this... 

 ...healthcare, or related industries. ~ Proficiency in programming languages such as Python, with exposure to OOPS concepts, Streamlit, Machine Learning, Deep Learning and data visualization tools (including Plotly, Matplotlib, Seaborn, Tableau/PowerBI etc.). ~ Familiarity with... 

 ...Python/R and SQL, with hands-on experience using data visualization tools such as Tableau and Power BI. Solid understanding of machine learning algorithms and statistical methods. Familiarity with popular ML frameworks, including TensorFlow, Scikit-learn, and PyTorch,... 

 ...retrain to prevent drift.Tech Stack (Must Haves) :- Languages : Python (Advanced), SQL.- ML Frameworks : PyTorch, TensorFlow, Scikit-learn.- GenAI : Hugging Face, OpenAI APIs, Vector Databases (Pinecone/Milvus).- MLOps : MLflow, Docker, Kubernetes, CI/CD for ML.Requirements... 

Description : We are hiring an AI Engineer with strong expertise in cloud infrastructure, Terraform, and MLOps to build and deploy scalable AI/ML solutions.Key Responsibilities :- Develop and deploy ML/AI models (NLP, CV, LLMs).- Build end-to-end ML pipelines and automate workflows...

 ...What will you do at Fynd Work on the deployment of machine learning and deep learning models. Help in accelerating model inference using various compression tools like onnx, Torch script, TensorRT, OpenVINO ....etc. Develop and maintain a data streaming pipeline (both... 

 ...reports to Quantitative Research Manager, Advice and Financial Planning. Key Responsibilities: Harness the capabilities of machine learning and generative AI to develop cutting-edge solutions that enhance the troubleshooting and problem-solving capabilities of our current...