Senior / Staff Engineer, Advanced Modeling (PI) Micron Technology

8.0 - 13.0 years

10 - 18 Lacs

Hyderabad

Work from Office

In the TD Advanced Modeling Group in Hyderabad you will work in a multi-functional team of engineers highly skilled in the modeling of materials, process, structure, and reactor, who are responsible for deploying modeling solutions towards advanced node development in TD and HVM. You will be responsible for developing predictive structure modeling simulations across multiple DRAM and NAND nodes. You will collaborate extensively with product design and process/integration teams for 3D structure model development, deployment, and providing solutions to be implemented on Silicon wafer. You will interact with process integration engineers and development teams to identify questions and issues hindering the node development milestones. Additionally, you will create programs, algorithms, and computational modeling solutions to extract concrete insights from modeling and data. You will interpret and convey these insights and findings from models and experiments to engineering teams and leaders. You are expected to work in a dynamic and fast-paced team environment developing and deploying models, communicating results to the team members, and collaborating with them on next steps. Qualifications: Master's or PhD degree in Applied Mechanics, Materials Science, Mechanical Engineering, or any related fields of engineering and physics. Possess 5+ years of strong Semiconductor process integration experience, driving structure specs, yield pareto issues for a product with hands-on (beginner level) experience in 3D semiconductor structure model building tools like Synopsys, Cadence, Mentor, and Silvaco. Understanding of analysis techniques like TEM/SEM/TDS and metrology techniques like Ellipsometry/ WIS/Image based defect analysis. Experience with data analysis tools and machine learning frameworks (e.g., Python, MATLAB, TensorFlow). Experience with HPC on Linux environment Experience with computational geometry and mesh generation techniques is an added advantage. Excellent problem-solving skills and attention to detail. Ability to work independently and collaboratively in a fast-paced environment. Excellent written and verbal communication Experience with reports and presentations customized for users, managers and leaders Outstanding teamwork and experience with remote collaboration tools.

Posted 2 weeks ago

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Senior Data Scientist Six Sails Technologies

8.0 - 12.0 years

11 - 18 Lacs

Faridabad

Remote

We are seeking an experienced and highly skilled Senior Data Scientist to drive data-driven decision-making and innovation. In this role, you will leverage your expertise in advanced analytics, machine learning, and big data technologies to solve complex business challenges. You will be responsible for designing predictive models, building scalable data pipelines, and uncovering actionable insights from structured and unstructured datasets. Collaborating with cross-functional teams, your work will empower strategic decision-making and foster a data-driven culture across the organization. Role & responsibilities 1. Data Exploration and Analysis: Collect, clean, and preprocess large and complex datasets from diverse sources, including SQL databases, cloud platforms, and APIs. Perform exploratory data analysis (EDA) to identify trends, patterns, and relationships in data. Develop meaningful KPIs and metrics tailored to business objectives. 2. Advanced Modeling and Machine Learning: Design, implement, and optimize predictive and prescriptive models using statistical techniques and machine learning algorithms. Evaluate model performance and ensure scalability and reliability in production. Work with both structured and unstructured data for tasks such as text analysis, image processing, and recommendation systems. 3. Data Engineering and Automation: Build and optimize scalable ETL pipelines for data processing and feature engineering. Collaborate with data engineers to ensure seamless integration of data science solutions into production environments. Leverage cloud platforms (e.g., AWS, Azure, GCP) for scalable computation and storage. 4. Data Visualization and Storytelling: Communicate complex analytical findings effectively through intuitive visualizations and presentations. Create dashboards and visualizations using tools such as Power BI, Tableau, or Python libraries (e.g., Matplotlib, Seaborn, Plotly). Translate data insights into actionable recommendations for stakeholders. 5. Cross-functional Collaboration and Innovation: Partner with business units, product teams, and data engineers to define project objectives and deliver impactful solutions. Stay updated with emerging technologies and best practices in data science, machine learning, and AI. Contribute to fostering a data-centric culture within the organization by mentoring junior team members and promoting innovative approaches. Preferred candidate profile Proficiency in Python, R, or other data science programming languages. Strong knowledge of machine learning libraries and frameworks (e.g., Scikit-learn, Tensor Flow, PyTorch). Advanced SQL skills for querying and managing relational databases. Experience with big data technologies (e.g., Spark, Hadoop) and cloud platforms (AWS, Azure, GCP), preferably MS Azure. Familiarity with data visualization tools such as Power BI, Tableau, or equivalent, preferably MS Power BI. Analytical and Problem-solving Skills: Expertise in statistical modeling, hypothesis testing, and experiment design. Strong problem-solving skills to address business challenges through data-driven solutions. Ability to conceptualize and implement metrics/KPIs tailored to business needs. Soft Skills: Excellent communication skills to translate complex technical concepts into business insights. Collaborative mindset with the ability to work in cross-functional teams. Proactive and detail-oriented approach to project management and execution. Education and Experience: Bachelors or Masters degree in Data Science, Computer Science, Statistics, Mathematics, or a related field. 8+ years of experience in data science, advanced analytics, or a similar field. Proven track record of deploying machine learning models in production environments. Perks & Benefits Best as per market standard. Work from home opportunity. 5 days working. Shift Timing 2PM-11PM IST (Flexible hours)

Posted 1 month ago

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