Devo, the cloud-native logging and security analytics company, empowers security and operations teams to maximize the value of all their data. Only the Devo platform delivers the powerful combination of real-time visibility, high-performance analytics, scalability, multitenancy, and low TCO crucial for monitoring and securing business operations as enterprises accelerate their shift to the cloud. Headquartered in Boston, Mass., Devo is backed by Insight Partners, Georgian, and Bessemer Venture Partners. Learn more at <a>www.devo.com</a>. Devo security products team is developing the world’s first and only Autonomous SOC to revolutionize the security industry. Candidates will be working on the most cutting-edge security technology when it comes to autonomous and automated threat detections, behavioral analysis, investigations, and hunts. JOB SUMMARYWe are seeking a highly motivated Sr. Data Scientist with a proven track record of developing threat detection algorithms. The ideal candidate will be responsible for the entire machine learning life cycle, from data acquisition and feature engineering to model evaluation and monitoring. RESPONSIBILITIES<ul><li>Experience in transferring applied research to technologies.</li><li>Experience in cyber security concepts such as malware detection, fraud prevention, adversary tradecrafts, emerging threats.</li><li>Design, develop, and implement scalable data pipelines using Spark/PySpark and big data frameworks to ingest, transform, and load data.</li><li>Optimize and troubleshoot complex queries for efficient data retrieval and performance.</li><li>Build and deploy AI-ML models across diverse data sources to extract valuable insights.</li><li>Familiar with modern tools for data exploration and analysis.</li><li>Collaborate with data scientists, analysts, and stakeholders to understand business needs and translate them into actionable data solutions.</li><li>Document code and processes for clarity and knowledge transfer.</li></ul>REQUIREMENTS<ul><li>Bachelor’s/Master's degree in Data Science, Statistics, Computer Science, or a related field (a plus).</li><li>At least 7 years of experience working in query tuning, performance tuning, implementing and debugging Spark/Pyspark and other big data solutions.</li><li>Experience with anomaly detection, clustering statistics, time series analysis, reinforcement learning, generative AI/agentic frameworks, large language models.</li><li>Experience with cloud platforms like AWS or GCP and containerization technologies like Docker and Kubernetes.</li><li>Strong problem-solving, analytical, and critical thinking skills.</li><li>Excellent communication and collaboration skills.</li><li>Ability to work independently and as part of a team.</li></ul>DESIRED<ul><li>Understanding of Security Operations Center (SOC) and security management workflows in large organizations.</li><li>Experience with data governance and data quality frameworks.</li></ul> WHY WORK AT DEVO? <ul><li>You’ll join a company where we value our people and provide the tremendous opportunities that come with a hyper-growth organization. </li><li>Be part of an international company with a strong team culture that celebrates success. Share our core values: Be bold - Be Inventive - Be humble - Be an ally .</li><li>Work in an environment that will challenge you and enable you to grow as a professional. </li></ul> COMPREHENSIVE BENEFITS, INCLUDING<ul><li>Top end hardware </li><li> Employee referral program — get a bonus for helping friends get jobs at Devo!</li><li> Employee Stock Option Plan.</li><li> Company offsites and events </li><li> Gender and diversity initiatives to increase visibility, inclusion, and sense of belonging.</li></ul>

Role – Sr. Data Scientist Job Overview: We are seeking a Lead Engineer to drive the development and deployment of sophisticated AI solutions in our fintech products. You will lead a team of engineers, oversee MLOps pipelines, and manage large language models (LLMs) to enhance our financial technology services. Key Responsibilities: <ul><li>AI/ML Development: Design and implement advanced ML models for applications including fraud detection, credit scoring, and algorithmic trading.</li><li>MLOps: Develop and manage MLOps pipelines using tools such as MLflow, Kubeflow, and Airflow for CI/CD, model monitoring, and automation.</li><li>LLMOps: Optimize and operationalize LLMs (e.g., GPT-4, BERT) for fintech applications like automated customer support and sentiment analysis.</li><li>Technical Leadership: Mentor and lead a team of ML engineers and data scientists, conducting code reviews and ensuring best practices.</li><li>Collaboration: Work with product managers, data engineers, and business analysts to align technical solutions with business objectives.</li></ul> Qualifications:<ul><li>Experience: 5-9 years in AI, ML, MLOps, and LLMOps with a focus on fintech.</li><li>Technical Skills: Expertise in TensorFlow, PyTorch, scikit-learn, and MLOps tools (MLflow, Kubeflow). Proficiency in large language models (LLMs) and cloud platforms (AWS, GCP, Azure). Strong programming skills in Python, Java, or Scala</li></ul>

The technology that once promised to simplify patient care has brought more issues than anyone ever anticipated. At Innovaccer, we defeat this beast by making full use of all the data Healthcare has worked so hard to collect, and replacing long-standing problems with ideal solutions. Data is our bread and butter for innovation. We are looking for a Staff Data Scientist who understands healthcare data and can leverage the data to build algorithms to personalize treatments based on the clinical and behavioral history of patients. We are looking for a superstar who will define and build the next generation of predictive analytics tools in healthcare. Responsibilities <ul><li>Design and lead the development of various artificial intelligence initiatives to help improve health and wellness of patients</li><li>Work with the business leaders and customers to understand their pain-points and build large-scale solutions for them. </li><li>Define technical architecture to productize Innovaccer’s machine-learning algorithms and take them to market with partnerships with different organizations</li><li>Proven ability to break down complex business problems into machine learning problems and design solution workflows.</li><li>Work with our data platform and applications team to help them successfully integrate the data science capability or algorithms in their product/workflows. </li><li>Work with development teams to build tools for repeatable data tasks that will accelerate and automate development cycle.</li><li>Define and execute on the quarterly roadmap </li></ul> Qualifications <ul><li>Masters in Computer Science, Computer Engineering or other relevant fields (PhD Preferred)</li><li>7+ years of experience in Data Science (healthcare experience will be a plus)</li><li>Strong written and spoken communication skills</li><li>Strong hands-on experience in Python - building enterprise applications alongwith optimization techniques. </li><li>Strong experience with deep learning techniques to build NLP/Computer vision models as well as state of art GenAI pipelines - knowledge of implementing agentic workflows is a plus.</li><li>Has demonstrable experience deploying deep learning models in production at scale with interactive improvements- would require hands-on expertise with at least 1 deep learning frameworks like Pytorch or Tensorflow.</li><li>Has keen interest in research and stays updated with key advancements in the area of AI and ML in the industry. </li><li>Deep understanding of classical ML techniques - Random Forests, SVM, Boosting, Bagging - and building training and evaluation pipelines. </li><li>Demonstrate experience with global and local model explainability using LIME, SHAP and associated techniques.</li><li>Hands on experience with at least one ML platform among Databricks, Azure ML, Sagemaker s</li><li>Experience in developing and deploying production ready models</li><li>Knowledge of implementing an MLOps framework.</li><li>Possess a customer-focused attitude through conversations and documentation</li></ul>

Data Scientist Jobs in Noida, Uttar Pradesh

Sr Data Scientist
December 12, 2024

Senior Data Scientist
December 7, 2024

Staff Data Scientist
December 1, 2024

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Data Scientist Jobs in Noida, Uttar Pradesh

Sr Data ScientistDecember 12, 2024

Senior Data ScientistDecember 7, 2024

Staff Data ScientistDecember 1, 2024

Quick filters

Top companies

Sr Data Scientist
December 12, 2024

Senior Data Scientist
December 7, 2024

Staff Data Scientist
December 1, 2024