2 Machinelearning Jobs

Role Overview: As a Data Scientist within IBM's Chief Analytics Office, you will support AI-driven projects across the enterprise. You will apply your technical skills in AI, machine learning, and data analytics to assist in implementing data-driven solutions that align with business goals. This role involves working with team members to translate data insights into actionable recommendations. Key Responsibilities: Technical Execution and Leadership: Develop and deploy AI models and data analytics solutions. Support the implementation and optimization of AI-driven strategies per business stakeholder requirements. Help refine data-driven methodologies for transformation projects. Data Science and AI: Design and implement machine learning solutions and statistical models, from problem formulation through deployment, to analyze complex datasets and generate actionable insights. Learn and utilize cloud platforms to ensure the scalability of AI solutions. Leverage reusable assets and apply IBM standards for data science and development. Project Support: Lead and contribute to various stages of AI and data science projects, from data exploration to model development. Monitor project timelines and help resolve technical challenges. Design and implement measurement frameworks to benchmark AI solutions, quantifying business impact through KPIs. Collaboration: Ensure alignment to stakeholders strategic direction and tactical needs. Work with data engineers, software developers, and other team members to integrate AI solutions into existing systems. Contribute technical expertise to cross-functional teams. Required education Bachelor's Degree Preferred education Master's Degree Required technical and professional expertise Education:Bachelor's or Master's in Computer Science, Data Science, Statistics, or a related field is required; an advanced degree strongly preferred Experience: 2-4 yearsof experience in data science, AI, or analytics with a focus on implementing data-driven solutions Experience with data cleaning, data analysis, A/B testing, and data visualization Experience with AI technologies through coursework or projects Technical Skills: Proficiency in SQL and Python for performing data analysis and developing machine learning models Knowledge of common machine learning algorithms and frameworks: linear regression, decision trees, random forests, gradient boosting (e.g., XGBoost, LightGBM), neural networks, and deep learning frameworks such as TensorFlow and PyTorch Experience with cloud-based platforms and data processing frameworks Understanding of large language models (LLMs) Familiarity with IBM's watsonx product suite Familiarity with object-oriented programming Analytical Skills: Strong problem-solving abilities and eagerness to learn Ability to work with datasets and derive insights Other Requirements: Good communication skills, with the ability to explain technical concepts clearly Enthusiasm for learning and applying new technologies Strong project management skills, with the ability to balance multiple initiatives, prioritize tasks effectively, and meet deadlines in a fast-paced environment Successful completion of Coding Assessment Preferred technical and professional experience Advanced degree strongly preferred

About the Role:A NASDAQ-listed company that has successfully maintained its position as a front-runner in the technology sector is looking to onboard a skilled Rust Developer. The ideal candidate will contribute to expanding the power of AI in the mobile coding ecosystem, with the ultimate goal of creating AI-powered tools for the development domain. The company is developing the next generation of coding assisting agents with a wide range of applications. This is an exciting opportunity for those eager to work in a fast-paced environment. Responsibilities: Navigate and modify complex Rust codebases using CLI tools like grep and ripgrep. Implement new features with a focus on memory safety, ownership rules, and type correctness. Write and execute tests using cargo test, including property-based testing (proptest or quickcheck). Refactor existing Rust code while maintaining functionality and performance. Debug and fix memory safety, ownership, and concurrency-related issues. Set up and manage Rust development environments using cargo, including handling dependencies and feature flags. Ensure best practices in Rust development, including proper error handling, concurrency safety, and efficient memory usage. Requirements: Strong experience with Rust programming language concepts, including ownership, borrowing, and lifetimes. Familiarity with Rust frameworks like Tokio, Actix, Rocket, and libraries such as Serde and Rayon. Experience with Rusts testing ecosystem, including unit, integration, and property-based testing. Knowledge of multi-threading and asynchronous programming in Rust. Ability to work with complex architectural patterns and refactor code without introducing regressions. Strong debugging skills, including fixing memory and concurrency issues. Experience with performance profiling and benchmarking in Rust (cargo bench). 4+ years of work experience in Rust development. Nice to Have: Experience contributing to open-source Rust projects. Familiarity with writing Rust documentation and designing APIs with doc-tests. Search Guidance: Mandatory Skills: Rust - 3 yrs, Rust Frameworks (Tokio, Actix, Rocket) - 3 yrs, Libraries (Serde and Rayon) - 3 years. Nice To Have: Rust documentation and designing APIs with doc-tests. Total Years of Experience: 5+ years. Overlap Required: 4 hours PST. Pre-screening Questions: Based on the Job Description, are you interested in research-based work, model training, puzzle-solving, or prompt generation? Can you talk about a project where you were responsible for reviewing code and helping a team optimize solutions? Provide a self-rating (1-10, 10 being expert) for the following skills: Java, Code Review, Problem Solving. Contact:Interested candidates can share their resumes at 9032956160. Location: Chennai, Hyderabad, Kolkata, Pune, Ahmedabad, Remote