... complex problems into production-grade data science solutions. Our program spans fintech product development, digital transformation, process automation with machine learning, business intelligence, data governance, and generative AI. You will work alongside an advanced data science and engineering team — and collaborate ...
... Biostatistics, Data Science, or a closely related quantitative field. Technical & Statistical Software Proficiency in Python, Spark, SQL, Artificial intelligence and Machine learning Experience working with cloud-based or big data technologies (e.g. Databricks, Airflow, AWS) Ability to work alone and in a team Experience with taking ...
... expertise in NLP, Fundamental machine learning, deep learning, transformer, state space-based architecture.- Azure ML and/or AWS.- Strong in Python coding, SQL and database queries, data preparation, and analysis.- Exploratory Data Analysis (EDA).- Experience with PyTorch.- LLM training and fine-tuning (e.g., GPT, LLaMA, Mistral, ...
... AI, Azure OpenAI, Azure Data Lake, Azure Machine Learning, Real-time Inference, Streaming Data, Distributed ML Systems, Prometheus, GrafanaQualifications : - 3 - 5+ years of hands-on experience in ML Engineering or Applied AI.- Bachelor's degree in Computer Science, AI, Engineering, or related field. (ref:hirist.tech)
... cases, gather requirements, and architect end-to-end AI solutions that align with business goals.2. Algorithm Development :- Develop and implement machine learning and deep learning algorithms, models, and frameworks to solve intricate problems and enhance system capabilities.3. Data Processing :- Oversee data collection, ...
... command line tasks Requirements Demonstrated experience of 5+ years of professional work in Data Science Strong analytical skills in statistical data analysis, machine learning, and NLP while accounting for real-world limitations Advanced proficiency in Python and SQL, including libraries that support effective data analysis ...
... tools tailored to their goals. We are working to build personalized financial journeys for our clients, powered by new-age tech, AI, Machine Learning and Data Science. Be part of a team that's scaling sustainably, thinking big, and building for the next billion. Tech Systems that run at Scale: From AI to real-time data infra, ...
... extraction pipelines. Education & Experience Bachelor's, Master's, or Ph.D. in a highly quantitative field (Mathematics, Statistics, Econometrics, Computer Science, Physics, or Operations Research). Experience: 4 to 6 years of industry experience working as a Data Scientist or Machine Learning Engineer with a portfolio ...
... Establish monitoring, logging, and alerting standards for model and platform services to improve reliability, performance, and incident response.- Partner with data science, engineering, and security teams to productionize machine learning workloads with governance, repeatability, and compliance.- Define deployment standards ...
... performance metrics. Build and optimize machine learning models and verifiable ML systems that transform how we search and analyze complex medical and insurance data. Build and optimize production-ready systems that are scalable and can handle large amounts of data. Build and optimize agentic systems that can reason and make ...
... in Computer Science, Data Science, Statistics, Mathematics, Engineering, or a related quantitative field. Experience: - 3+ years of professional experience in data science or applied machine learning roles. - Demonstrated experience delivering regression and/or classification models in production environments. - Hands-on ...
... Strong programming skills in languages such as Python or R. - Experience with data visualization tools and techniques. Nice to have : Familiarity with cloud platforms and tools (e.g., AWS, Google Cloud). Experience in natural language processing (NLP). Knowledge of machine learning frameworks (e.g., TensorFlow, PyTorch).
... hands-on professional experience Education: BE/B.Tech/ME/M.Tech/MCA/MSc IT Primary Skills (must have): Strong Azure or AWS knowledge Strong working knowledge on Data Science, Artificial Intelligence, Machine Learning Secondary Skills (good to have): SQL, Python Professional Attributes: Strong analytical and problem-solving ...
... technical teams Understanding of manufacturing engineering systems (FMEA, SPC) and structured problem solving methods (such as DMAIC) Experiencee in standard data science and machine learning packages Have good understanding of the machine learning model stack (regression, classification, neural networks, time series) and ...
Role Overview :As a Python Engineer specializing in MLOps, you will be at the forefront of building and scaling production-grade machine learning pipelines. You will work closely with data scientists, infrastructure engineers, and product stakeholders to bridge the gap between experimental models and robust, scalable deployments. ...
Role Overview :As a Python Engineer specializing in MLOps, you will be at the forefront of building and scaling production-grade machine learning pipelines. You will work closely with data scientists, infrastructure engineers, and product stakeholders to bridge the gap between experimental models and robust, scalable deployments. ...
... or structured analytical tasks - Background in data annotation or evaluation task development - Experience creating technical reports involving statistics or data science - Previous experience contributing to AI, machine-learning or data-driven evaluation projects - Bilingual proficiency in English and a second language ...
... or structured analytical tasks - Background in data annotation or evaluation task development - Experience creating technical reports involving statistics or data science - Previous experience contributing to AI, machine-learning or data-driven evaluation projects - Bilingual proficiency in English and a second language ...
... concept to production. - Demonstrated expertise in applying machine learning, statistical modeling, and process-mining algorithms to large, multi-source enterprise datasets. - Strong programming proficiency in Python, SQL, and data-modeling techniques for event data. - Experience in process data model design, development, and ...