78 Mllib Jobs - Page 4

Role : Databricks Developer with Python Location: Bangalore Exp: 3-5 yrs Notice Period: Immediate to 15 days Mandatory Skills: · Around 5 years experience as Databricks/PySpark developer · Strong Python programming skills, a solid understanding of Apache Spark's concepts (like DataFrames, Spark SQL, and MLlib), and familiarity with cloud platforms. · 1 to 3 days per week - Work from Bengaluru office Job Description Summary: Design and Development: • Design, develop, and deploy ETL processes on Databricks for data integration and transformation. • Implement and optimize Spark jobs, data transformations, and data processing workflows. • Build and optimize data pipelines, architectures, and datasets. • Collaboration - Collaborate with data engineers, architects and team members to ensure efficient data processing and storage. Best Practices - Implement best practices for data pipelines, including monitoring, logging, and error handling. Tools and Technologies: •Proficient in using Databricks, Azure Data Factory, and other Azure services. •Experience with PySpark, SQL for ETL logic. •Familiarity with Apache Spark and Delta Lake. Other Skills: ·Experience with data warehousing concepts and data modeling. ·Hands-on experience in creating stored procedures, functions, tables, cursors. ·Experience in database testing, data comparison, and data transformation scripting ·Capable of troubleshooting common database issues ·Familiar with tools that can aid with profiling server resource usage and optimizing it ·Hands on experience in Gitlab with understanding of CI/CD Pipeline, DevOps tools Show more Show less

At PwC, our people in data and analytics engineering focus on leveraging advanced technologies and techniques to design and develop robust data solutions for clients. They play a crucial role in transforming raw data into actionable insights, enabling informed decision-making and driving business growth. Those in artificial intelligence and machine learning at PwC will focus on developing and implementing advanced AI and ML solutions to drive innovation and enhance business processes. Your work will involve designing and optimising algorithms, models, and systems to enable intelligent decision-making and automation. Years of Experience: Candidates with 15+ years of hands on experience Required Skills Must Have: Solid knowledge and experience of supervised, unsupervised machine learning algorithms. For e.g (but not limited to): linear regressions, bayesian regressions, multi objective optimization techniques, classifiers, cluster analysis, dimension reduction etc. Understanding of technicality used for retail analytics across loyalty, customer analytics, assortment, promotion and marketing Good knowledge of statistics For e.g: statistical tests & distributions Experience in Data analysis For e.g: data cleansing, standardization and data preparation for the machine learning use cases Experience in machine learning frameworks and tools (For e.g. scikit-learn, mlr, caret, H2O, TensorFlow,, Pytorch, MLlib) Advanced level programming in SQL and Python/Pyspark to guide teams Expertise with visualization tools For e.g: Tableau, PowerBI, AWS QuickSight etc. Nice To Have Working knowledge of containerization ( e.g. AWS EKS, Kubernetes), Dockers and data pipeline orchestration (e.g. Airflow) Experience with model explainability and interpretability techniques Multi-task and manage multiple deadlines. Responsible for incorporating client/user feedback into the Product Ability to think through complex user scenarios and design simple yet effective user interactions Good Communication and presentation skills Educational Background BE / B.Tech / MCA / M.Sc / M.E / M.Tech / MBA Show more Show less

Data Science and AI Developer **Job Description:** We are seeking a highly skilled and motivated Data Science and AI Developer to join our dynamic team. As a Data Science and AI Developer, you will be responsible for leveraging cutting-edge technologies to develop innovative solutions that drive business insights and enhance decision-making processes. No salary will be provided during the 3-month probation period. **Key Responsibilities:** 1. Develop and deploy machine learning models for predictive analytics, classification, clustering, and anomaly detection. 2. Design and implement algorithms for data mining, pattern recognition, and natural language processing. 3. Collaborate with cross-functional teams to understand business requirements and translate them into technical solutions. 4. Utilize advanced statistical techniques to analyze complex datasets and extract actionable insights. 5. Implement scalable data pipelines for data ingestion, preprocessing, feature engineering, and model training. 6. Stay updated with the latest advancements in data science, machine learning, and artificial intelligence research. 7. Optimize model performance and scalability through experimentation and iteration. 8. Communicate findings and results to stakeholders through reports, presentations, and visualizations. 9. Ensure compliance with data privacy regulations and best practices in data handling and security. 10. Mentor junior team members and provide technical guidance and support. **Requirements:** 1. Bachelor’s or Master’s degree in Computer Science, Data Science, Statistics, or a related field. 2. Proven experience in developing and deploying machine learning models in production environments. 3. Proficiency in programming languages such as Python, R, or Scala, with strong software engineering skills. 4. Hands-on experience with machine learning libraries/frameworks such as TensorFlow, PyTorch, Scikit-learn, or Spark MLlib. 5. Solid understanding of data structures, algorithms, and computer science fundamentals. 6. Excellent problem-solving skills and the ability to think creatively to overcome challenges. 7. Strong communication and interpersonal skills, with the ability to work effectively in a collaborative team environment. 8. Certification in Data Science, Machine Learning, or Artificial Intelligence (e.g., Coursera, edX, Udacity, etc.). 9. Experience with cloud platforms such as AWS, Azure, or Google Cloud is a plus. 10. Familiarity with big data technologies (e.g., Hadoop, Spark, Kafka) is an advantage. Data Manipulation and Analysis : NumPy, Pandas Data Visualization : Matplotlib, Seaborn, Power BI Machine Learning Libraries : Scikit-learn, TensorFlow, Keras Statistical Analysis : SciPy Web Scrapping : Scrapy IDE : PyCharm, Google Colab HTML/CSS/JavaScript/React JS Proficiency in these core web development technologies is a must. Python Django Expertise: In-depth knowledge of e-commerce functionalities or deep Python Django knowledge. Theming: Proven experience in designing and implementing custom themes for Python websites. Responsive Design: Strong understanding of responsive design principles and the ability to create visually appealing and user-friendly interfaces for various devices. Problem Solving: Excellent problem-solving skills with the ability to troubleshoot and resolve issues independently. Collaboration: Ability to work closely with cross-functional teams, including marketing and design, to bring creative visions to life. interns must know about how to connect front end with datascience Also must Know to connect datascience to frontend **Benefits:** - Competitive salary package - Flexible working hours - Opportunities for career growth and professional development - Dynamic and innovative work environment Job Type: Full-time Pay: ₹8,000.00 - ₹12,000.00 per month Schedule: Day shift Ability to commute/relocate: Thiruvananthapuram, Kerala: Reliably commute or planning to relocate before starting work (Preferred) Work Location: In person