Qureos Mentor

Codash Solutions

Job Description We aim to bring about a new paradigm in medical image diagnostics, providing intelligent, holistic, ethical, explainable, and patient-centered care. We are looking for innovative problem solvers. We want people who can empathize with the consumer, understand business problems, and design and deliver intelligent products. People who are looking to extend artificial intelligence into unexplored areas. Your primary focus will be in applying deep learning and artificial intelligence techniques to the domain of medical image analysis.Responsibilities <ul><li>Selecting features, building, and optimizing classifier engines using deep learning techniques.</li><li>Understanding the problem and applying the suitable image processing techniques</li><li>Use techniques from artificial intelligence/deep learning to solve supervised and unsupervised learning problems.</li><li>Understanding and designing solutions for complex problems related to medical image analysis by using Deep Learning/Object Detection/Image Segmentation.</li><li>Recommend and implement best practices around the application of statistical modeling.</li><li>Create, train, test, and deploy various neural networks to solve complex problems.</li><li>Develop and implement solutions to fit business problems which may include applying algorithms from a standard statistical tool, deep learning or custom algorithm development.</li><li>Understanding the requirements and designing solutions and architecture in accordance with them is important.</li><li>Participate in code reviews, sprint planning, and Agile ceremonies to drive high-quality deliverables.</li><li>Design and implement scalable data science architectures for training, inference, and deployment pipelines.</li><li>Ensure code quality, readability, and maintainability by enforcing software engineering best practices within the data science team.</li><li>Optimize models for production, including quantization, pruning, and latency reduction for real-time inference.</li><li>Drive the adoption of versioning strategies for models, datasets, and experiments (e.g., using MLFlow, DVC).</li><li>Contribute to the architectural design of data platforms to support large-scale experimentation and production workloads.</li></ul>Skills and Qualifications <ul><li>Strong software engineering skills in Python (or other languages used in data science) with emphasis on clean code, modularity, and testability.</li><li>Excellent understanding and hands-on of Deep Learning techniques such as ANN, CNN, RNN, LSTM, Transformers, VAEs etc.</li><li>Must have experience with Tensorflow or PyTorch framework in building, training, testing, and deploying neural networks.</li><li>Experience in solving problems in the domain of Computer Vision.</li><li>Knowledge of data, data augmentation, data curation, and synthetic data generation.</li><li>Ability to understand the complete problem and design the solutions that best fit all the constraints.</li><li>Knowledge of the common data science and deep learning libraries and toolkits such as Keras, Pandas, Scikit-learn, Numpy, Scipy, OpenCV etc.</li><li>Good applied statistical skills, such as distributions, statistical testing, regression, etc.</li><li>Exposure to Agile/Scrum methodologies and collaborative development practices.</li><li>Experience with the development of RESTful APIs.</li><li>The knowledge of libraries like FastAPI and the ability to apply it to deep learning architectures is essential.</li><li>Excellent analytical and problem-solving skills with a good attitude and keen to adapt to evolving technologies.</li><li>Experience with medical image analysis will be an advantage.</li><li>Experience designing and building ML architecture components (e.g., feature stores, model registries, inference servers).</li><li>Solid understanding of software design patterns, microservices, and cloud-native architectures.</li><li>Expertise in model optimization techniques (e.g., ONNX conversion, TensorRT, model distillation)</li></ul>Education: BE/B Tech MS/M Tech (will be a bonus)Experience: 3+ Years Job Type: Full-timePay: &#8377;1,000,000.00 - &#8377;1,100,000.00 per yearApplication Question(s):<ul><li>Do you have Strong software engineering skills in Python (or other languages used in data science) with emphasis on clean code, modularity, and testability?</li><li>Do you have Excellent understanding and hands-on of Deep Learning techniques such as ANN, CNN, RNN, LSTM, Transformers, VAEs etc.?</li><li>Do you have Knowledge of data, data augmentation, data curation, and synthetic data generation?</li><li>Do you have Knowledge of the common data science and deep learning libraries and toolkits such as Keras, Pandas, Scikit-learn, Numpy, Scipy, OpenCV etc?</li><li>Do you have Experience with the development of RESTful APIs?</li></ul>Experience:<ul><li>Data science: 3 years (Required)</li><li>AI/ML: 3 years (Required)</li></ul>Work Location: In person

Senior Data Scientist

SAP Consultant &ndash; SAP Joule &amp; BTP (Contract)Job Type: Contract (3&ndash;6 months)Shift: 5:00 PM to 2:00 AM ISTSalary: &#8377;130,000 &ndash; &#8377;140,000 per monthExperience: Minimum 7+ years in SAP, with strong hands-on experience in SAP BTP and exposure to SAP Joule.Job Description: We are looking for an experienced SAP Consultant with expertise in SAP BTP and working knowledge of SAP Joule. The ideal candidate should have a strong background in SAP development, cloud integrations, and be comfortable working in a night shift (US hours). This is a remote, contract-based opportunity for 3&ndash;6 months.Requirements:<ul><li>7+ years SAP experience</li><li>Strong hands-on with SAP BTP (CAP, RAP, Fiori/UI5)</li><li>Exposure to SAP Joule</li><li>Good communication skills</li><li>Ability to work independently in remote setup</li></ul>Job Type: Contractual / Temporary Contract length: 3-6 monthsPay: &#8377;130,000.00 - &#8377;140,000.00 per monthBenefits:<ul><li>Work from home</li></ul>Application Question(s):<ul><li>Do you have a Minimum of 7+ years in SAP, with strong hands-on experience in SAP BTP and exposure to SAP Joule?</li><li>Do you have Strong hands-on with SAP BTP (CAP, RAP, Fiori/UI5)?</li><li>Are you comfortable working on the Night shift- 5 pm to 2 am?</li></ul>Experience:<ul><li>SAP: 7 years (Required)</li><li>SAP BTP: 5 years (Required)</li><li>SAP Joule: 1 year (Preferred)</li></ul>Work Location: RemoteSpeak with the employer +91 7404575300

SAP Consultant – SAP Joule & BTP

Job Description:Must Have Skills: ML Engineer, Snowflake &amp; MLflowExternal Description:We are seeking an ML Engineer with strong expertise in deploying, monitoring, and managing machine learning pipelines on Snowflake. The ideal candidate will act as a bridge between the Data Engineering team and the ML team, ensuring seamless integration of ML models into production workflows.Hands-on experience with MLflow, Snowpark, and ML pipeline orchestration is essential.Deploy, monitor, and optimize ML models on Snowflake.Design and maintain end-to-end ML pipelines (training, validation, deployment, monitoring).Use MLflow for experiment tracking, model registry, and performance monitoring.Collaborate with Data Engineers on data ingestion, transformations, and model-ready datasets.Implement MLOps best practices (CI/CD for ML, model versioning, reproducibility).Support performance tuning of ML models and pipelines.Provide governance and documentation for ML workflows.ML Engineering: ML pipeline design, model deployment, monitoring, and retraining.Snowflake: Strong knowledge of Snowflake platform, Snowpark, and SQL.MLflow: Hands-on experience with experiment tracking, model registry, and monitoring.Programming: Python (pandas, numpy, scikit-learn, PySpark).DevOps/MLOps: CI/CD pipelines, version control (GitHub), containerization (Docker), orchestration (Airflow/Databricks workflows)Job Type: Contractual / Temporary Contract length: 3-6 monthsPay: &#8377;100,000.00 - &#8377;110,000.00 per monthBenefits:<ul><li>Work from home</li></ul>Application Question(s):<ul><li>Do you have Hands-on experience with MLflow, Snowpark, and ML pipeline orchestration is essential?</li><li>Are you comfortable sharing PF details for BGV?</li><li>Do you have experience deploying, monitor, and optimize ML models on Snowflake?</li></ul>Work Location: Remote

ML Engineer

We are seeking a highly skilled and motivated Data Engineer to join our growing team. The ideal candidate will have a strong background in building and maintaining scalable data pipelines, with hands-on experience in ETL processes, Python programming, Apache Airflow, Apache Spark, and Neo4j graph database technology. You will play a crucial role in designing, implementing, and managing our data infrastructure to support our data-driven initiatives.Responsibilities:* Design, build, and maintain robust and scalable ETL pipelines to ingest data from a wide variety of sources. * Develop and optimize data processing workflows and data models for efficiency and reliability.* Utilize Apache Spark for large-scale data processing and complex data transformations.* Orchestrate and schedule data pipelines using Apache Airflow, ensuring timely and accurate data delivery.* Write clean, efficient, and well-documented Python code for data manipulation and automation.* Model, implement, and manage graph databases using Neo4j to uncover relationships and insights within our data.* Collaborate with data scientists, analysts, and other stakeholders to understand data requirements and deliver actionable1 insights. * Ensure data quality and integrity through rigorous testing and validation.* Monitor, troubleshoot, and resolve issues related to data pipelines and infrastructure. * Stay up-to-date with emerging technologies and best practices in data engineering.Qualifications:<ul><li>Proven experience as a Data Engineer or in a similar role.</li></ul><ul><li>Strong proficiency in Python and its data-related libraries (e.g., Pandas, PySpark).</li></ul><ul><li>Hands-on experience with ETL concepts and tools.</li></ul><ul><li>Demonstrable experience with Apache Spark for distributed data processing.</li></ul><ul><li>In-depth knowledge of workflow management and orchestration using Apache Airflow.</li></ul><ul><li>Experience with graph databases, specifically Neo4j, including data modeling and Cypher query language.</li></ul><ul><li>Solid understanding of SQL and NoSQL databases.</li></ul><ul><li>Familiarity with cloud platforms (e.g., AWS, GCP, Azure) and their data services.</li></ul><ul><li>Excellent problem-solving and analytical skills.</li></ul><ul><li>Strong communication and collaboration abilities.</li></ul><ul><li>Bachelor's degree in Computer Science, Engineering, or a related field.</li></ul><ul><li>Python, API &amp; ETL Development, and Selenium Automation.</li></ul>Job Type: Contractual / Temporary Contract length: 3-6 monthsPay: &#8377;90,000.00 - &#8377;100,000.00 per monthBenefits:<ul><li>Work from home</li></ul>Application Question(s):<ul><li>Do you have Strong proficiency in Python and its data-related libraries (e.g., Pandas, PySpark)?</li><li>Do you have experience Working with ETL concepts and tools?</li><li>Do you have experience Working with Selenium Automation?</li></ul>Experience:<ul><li>Data Engineer: 5 years (Required)</li></ul>Work Location: Remote

Data Engineer

Join Codash Solutions and explore 4   exciting career opportunities. They're hiring for various roles with options for remote or on-site work. Apply today and become part of their innovative team.

Codash Solutions

ABOUT_COMPANY

Senior Data Scientist

SAP Consultant – SAP Joule & BTP

ML Engineer

Data Engineer