3 Pythonpyspark Jobs

As an IT Data Analyst at Syneos Health, you will play a crucial role in managing and monitoring data pipelines, ensuring data quality, and troubleshooting issues related to data and pipelines. Your responsibilities will include writing and understanding complex SQL queries, managing data pipelines in Azure Data Factory and Databricks, and integrating with Veeva CRM and Salesforce. You will be responsible for monitoring system performance, troubleshooting issues, and ensuring data delivery within committed SLAs. Additionally, you will collaborate with business stakeholders and technical team members to provide operational services and perform root cause analysis when issues arise. To excel in this role, you must have a full-time bachelor's degree in engineering/technology, computer science, IT, or related fields, along with 2-3 years of experience in data engineering or ETL fields. It is essential to have hands-on experience in root cause analysis and troubleshooting, and be Azure DP-203 Certified. Databricks related certifications would be preferable. Your primary technologies will include Azure Data Factory, Azure Databricks, Azure Data Lake Gen2, Azure Dedicated SQL Pools, SQL, and Python/PySpark. Familiarity with secondary technologies such as Unity Catalog and Lakehouse Architecture is a plus. Good to have skills include Salesforce, JIRA, Azure Logic Apps, Azure Key Vault, and Azure Automation. As part of the Syneos Health team, you will work in a dynamic environment where you can authentically be yourself and contribute to the development of innovative solutions that impact lives globally. If you are a passionate problem solver with strong communication and documentation skills, we invite you to join us in our mission to accelerate customer success and change lives. Please note that the tasks, duties, and responsibilities mentioned in this job description are not exhaustive. The Company may assign additional tasks and responsibilities at its sole discretion. Equivalent experience, skills, and education will also be considered during the recruitment process. The Company is committed to providing reasonable accommodations to assist employees or applicants with disabilities in performing essential job functions.,

The Senior Data Science Lead is a pivotal role responsible for driving the research, development, and deployment of semi-autonomous AI agents to solve complex enterprise challenges. This role involves hands-on experience with LangGraph, leading initiatives to build multi-agent AI systems that operate with greater autonomy, adaptability, and decision-making capabilities. The ideal candidate will have deep expertise in LLM orchestration, knowledge graphs, reinforcement learning (RLHF/RLAIF), and real-world AI applications. As a leader in this space, they will be responsible for designing, scaling, and optimizing agentic AI workflows, ensuring alignment with business objectives while pushing the boundaries of next-gen AI automation. Key Responsibilities: 1. Architecting & Scaling Agentic AI Solutions: - Design and develop multi-agent AI systems using LangGraph for workflow automation, complex decision-making, and autonomous problem-solving. - Build memory-augmented, context-aware AI agents capable of planning, reasoning, and executing tasks across multiple domains. - Define and implement scalable architectures for LLM-powered agents that seamlessly integrate with enterprise applications. 2. Hands-On Development & Optimization: - Develop and optimize agent orchestration workflows using LangGraph, ensuring high performance, modularity, and scalability. - Implement knowledge graphs, vector databases (Pinecone, Weaviate, FAISS), and retrieval-augmented generation (RAG) techniques for enhanced agent reasoning. - Apply reinforcement learning (RLHF/RLAIF) methodologies to fine-tune AI agents for improved decision-making. 3. Driving AI Innovation & Research: - Lead cutting-edge AI research in Agentic AI, LangGraph, LLM Orchestration, and Self-improving AI Agents. - Stay ahead of advancements in multi-agent systems, AI planning, and goal-directed behavior, applying best practices to enterprise AI solutions. - Prototype and experiment with self-learning AI agents, enabling autonomous adaptation based on real-time feedback loops. 4. AI Strategy & Business Impact: - Translate Agentic AI capabilities into enterprise solutions, driving automation, operational efficiency, and cost savings. - Lead Agentic AI proof-of-concept (PoC) projects that demonstrate tangible business impact and scale successful prototypes into production. 5. Mentorship & Capability Building: - Lead and mentor a team of AI Engineers and Data Scientists, fostering deep technical expertise in LangGraph and multi-agent architectures. - Establish best practices for model evaluation, responsible AI, and real-world deployment of autonomous AI agents.,

Job Description About Signify Through bold discovery and cutting-edge innovation, we lead an industry that is vital for the future of our planet: lighting Through our leadership in connected lighting and the Internet of Things, we're breaking new ground in data analytics, AI, and smart solutions for homes, offices, cities, and beyond, At Signify, you can shape tomorrow by building on our incredible 125+ year legacy while working toward even bolder sustainability goals Our culture of continuous learning, creativity, and commitment to diversity and inclusion empowers you to grow your skills and career, Join us, and together, well transform our industry, making a lasting difference for brighter lives and a better world You light the way, More About The Role Were looking for a Data Scientist to work on Deep learning, machine learning, data mining, and statistical modelingfor providing predictive and prescriptive enterprise analytics Successful candidates will be expected to guide a team of Data Scientists, investigate state of the art techniques in advanced machine learning and statistical modeling, and design, develop, and deploy state-of-art, scalable systems for innovative analytics applications across various functional areas (e-g Finance, Sales, Marketing, Supply Chain, etc ) Applicants will be expected to work with a diverse set of data sources, such as time series data, graph data, semi-structured and unstructured data, and build statistical / machine-learning / Deep Learning/Gen AI models in support of on-demand, real-time analytic services The applicant should also have strong skills in explaining the analytic models and outcomes to business stakeholders, Youll be part of the Signifys Enterprise Data & Analytics team, based in Bangalore, More About You Bachelor's or Master's degree in Computer Science, Statistics, Mathematics, or a related field 4+ years of hands-on experience in data science or a related field with demonstrated history of delivering analytics models and solutions Strong programming skills in Python, PySpark or other statistical programming languages Strong foundation in machine learning and deep learning algorithms and expertise in natural language processing (NLP) and computer vision techniques Experience with popular deep learning frameworks such as TensorFlow and PyTorch Research and explore the latest advancements in generative AI, including techniques like natural language processing (NLP), computer vision, and machine learning Develop and implement generative AI models and algorithms to address specific business challenges Train and fine-tune generative AI models using large datasets and industry-specific knowledge to improve accuracy and efficiency Knowledge of cloud platforms like AWS, GCP, or Azure Strong problem-solving skills, communication skills and the ability to think creatively and strategically with a focus on business outco Everything well do for you Opportunity to work on some of the highly complex and challenging business problems across a variety of functional and business domains, Competitive salary depending on experience, Extensive set of tools to drive your career, such as a personalized learning platform, training and coaching You can grow a lasting career here Well encourage you, support you, and challenge you Well help you learn and progress in a way thats right for you, with coaching and mentoring along the way Well listen to you too, because we see and value every one of our 30,000+ people, We believe that a diverse and inclusive workplace fosters creativity, innovation, and a full spectrum of bright ideas With a global workforce representing 99 nationalities, we are dedicated to creating an inclusive environment where every voice is heard and valued, helping us all achieve more together,