3 Ml Concepts Jobs

At PwC, we focus on leveraging advanced technologies and techniques in data and analytics engineering to design and develop robust data solutions for our clients. As a Director - Generative AI with over 15 years of experience, you will play a crucial role in transforming raw data into actionable insights, enabling informed decision-making, and driving business growth. Your main responsibilities will involve developing and implementing advanced AI and ML solutions to drive innovation and enhance business processes. You should possess proficiency in Generative AI based application development and have a strong focus on leveraging AI and ML technologies. Strong experience in Python programming and related frameworks such as Django and Flask is essential. You must have extensive experience in building scalable and robust applications using Python. A solid understanding of data engineering principles and technologies including ETL, data pipelines, and data warehousing is required. Familiarity with AI and ML concepts, algorithms, and libraries such as TensorFlow and PyTorch is necessary. Knowledge of cloud platforms like AWS, Azure, and GCP and their AI/ML services is also expected. Experience with database systems such as SQL, NoSQL, and data modeling is a plus. Strong problem-solving and analytical skills are essential, with the ability to translate business requirements into technical solutions. You should have excellent leadership and team management skills, with the ability to motivate and develop a high-performing team. Strong communication and collaboration skills are also crucial, as you will be working effectively in cross-functional teams. Being self-motivated and proactive with a passion for learning and staying up-to-date with emerging technologies and industry trends is key to success in this role. Educational background in BE / B.Tech / MCA / M.Sc / M.E / M.Tech / MBA would be preferred for this position.,

Analyze, design develop, troubleshoot and debug software programs for commercial or end user applications. Writes code, completes programming and performs testing and debugging of applications. The ERP Cloud product development team is looking for passionate, innovative, high caliber, team oriented super stars that seek being a major part of a transformative revolution in the development of modern business cloud based applications. We are seeking highly capable, best in the world developers, architects and technical leaders at the very top of the industry in terms of skills, capabilities and proven delivery who seek out and implement imaginative and strategic, yet practical, solutions people who calmly take measured and necessary risks while putting customers first. What You'll Do You would work as a Full Stack Java Developer on Oracle Next Gen solutions developed and running on Oracle Cloud. You should be a strong Java developer with ability to dig deeper into any part of the stack. In depth understanding of the fundamentals of distributed systems is a must. You must also have an exposure to the Microservices Technology/Platform and its related technical stack. You also be able to apply those fundamentals to real-world problems and come up with specialized solutions. Your work will require you to interact with cross functional teams and co-operate with people working in different areas of the stack. You should value simplicity and scale, work comfortably in a collaborative, agile environment, and be excited to learn. Collaborate with product managers and other stakeholders in understanding the requirements and work on delivering user stories/backlog items with highest levels of quality and consistency across the product. Work with geographically dispersed team of engineers by taking complete ownership and accountability to see the project through for completion. Skills and Qualifications 3-5+ years in building and architecting enterprise and consumer grade applications Demonstrable Computer science fundamentals, object-oriented design, and Java programming Large scale SaaS/PaaS based cloud native enterprise application development experience is highly desired. Work in an Agile devops continuous delivery deployment environment with geographically distributed teams is highly desired. Strong full stack Programming experience in Java, Java Script, python, Perl/Shell scripting, Oracle RDBMS (SQL and NOSQL) is highly desired Very good understanding of Micro-services based architecture, working knowledge in Docker and Kubernetes is highly desired Very good experience in CICD processes and tools like Jenkins and Git is highly desired. Web & Mobile GUI development Tools/Frameworks experience (Angular, react, OJet) is desirable. Familiarity with AI techniques and ML concepts are desired Strong problem solving and communication skills Automation & tool development for monitoring & managing large-scale systems is a plus Expertise in developing and operating highly scalable & available systems is highly desired Ability to work creatively and analytically using data-driven decision-making to improve customer experience. Strong organizational, interpersonal, written and oral communication skills, with proven success in contributing in a collaborative, team-oriented environment. Self-motivated and self-driven, continuously learning and capable of working independently. BS/MS (MS preferred) in Computer Science. As a member of the software engineering division, you will perform high-level design based on provided external specifications. Specify, design and implement minor changes to existing software architecture. Build highly complex enhancements and resolve complex bugs. Build and execute unit tests and unit plans. Review integration and regression test plans created by QA. Communicate with QA and porting engineering as necessary to discuss minor changes to product functionality and to ensure quality and consistency across specific products. Career Level - IC3

Role & responsibilities Proven experience as a Site Reliability Engineer (SRE) or in a similar role. Strong knowledge of machine learning concepts and workflows. Proficiency in programming languages such as Python, Java, or Go. Experience with cloud platforms such as AWS, Azure, or Google Cloud. Familiarity with containerization technologies like Docker and Kubernetes. Experience with CI/CD tools such as Jenkins, GitLab CI, or CircleCI. Strong problem-solving skills and the ability to troubleshoot complex issues. Excellent communication and collaboration skills. Preferred candidate profile Experience with machine learning frameworks such as TensorFlow, PyTorch, or Scikit-learn Knowledge of data engineering and data pipeline tools such as Apache Spark, Apache Kafka, or Airflow. Experience with monitoring and logging tools such as Prometheus, Grafana, or ELK stack. Familiarity with infrastructure as code (IaC) tools like Terraform or Ansible. Experience with automated testing frameworks for machine learning models. Knowledge of security best practices for machine learning systems and data. Education : Bachelor's degree in Computer Science, Engineering, or a related field. Master's degree in Computer Science, Engineering, or a related field.