Gitflow Jobs in Bengaluru

Job Title: Associate Software Developer Location: Bengaluru, India Company: IBM Consulting Introduction A career in IBM Consulting is rooted in long-term relationships and close collaboration with clients globally. You will work with visionaries across multiple industries to improve hybrid cloud and AI journeys for the most innovative and valuable companies in the world. Your ability to accelerate impact and create meaningful change for your clients is supported by our strategic partner ecosystem and robust technology platforms across the IBM portfolio, including Software and Red Hat. Curiosity and a constant quest for knowledge are the foundation of success in IBM Consulting. In this role, you ll be encouraged to challenge the norm, explore ideas beyond your direct responsibilities, and come up with creative solutions that result in groundbreaking impacts for a broad network of clients. Our culture of evolution and empathy focuses on long-term career growth and development, providing opportunities to grow in an environment that embraces your unique skills and experiences. You ll work in one of our IBM Consulting Client Innovation Centers (Delivery Centers), where we provide deep technical and industry expertise to both public and private sector clients around the world. Our delivery centers enable clients to access locally-based skills and technical expertise, helping drive innovation and the adoption of new technology. Your Role and Responsibilities As an Associate Software Developer at IBM, you will work with clients to co-create solutions for major real-world challenges using best practice technologies, tools, techniques, and products. You will be responsible for translating system requirements into the design and development of customized systems. Your responsibilities will include: System Architecture & Development: Work across the entire system architecture to design, develop, and support high-quality, scalable products and interfaces for clients. Collaboration & Technical Specifications: Collaborate with cross-functional teams to understand project requirements and define technical specifications, particularly for generative AI projects. Design Thinking: Employ IBM s Design Thinking methodology to create products that offer an excellent user experience while ensuring high performance, security, quality, and stability. Database and Framework Expertise: Work with a variety of relational databases (e.g., SQL, Postgres, DB2, MongoDB), operating systems (e.g., Linux, Windows, iOS, Android), and modern UI frameworks (e.g., Backbone.js, AngularJS, React, Ember.js, Bootstrap, and JQuery). Product Development: Create mockups, UI components, algorithms, and data structures as part of delivering viable products for clients. Required Education Bachelor s Degree in Computer Science, Software Engineering, or a related field. Preferred Education Master s Degree in Computer Science, Software Engineering, or a related field (preferred, but not required). Required Technical and Professional Expertise Experience: 3-5 years of professional experience in software development. Technical Solution Translation: Ability to translate business requirements into technical solutions. Open Source Technologies: Familiarity with working in Open Source environments and technologies, particularly Python and Django. Web Services & Frameworks: Exposure to web services, application frameworks, and databases. Cloud Platforms: Familiarity with cloud platforms such as AWS, Azure, IBM Cloud, and Google Cloud. Generative AI Knowledge: Exposure to generative AI methodologies and ethical considerations in AI development. Preferred Technical and Professional Experience Full-Stack Development: Flexibility to work across architecture, building both front-end and back-end solutions. Code Quality and Automation: Help maintain and improve code quality, organization, and automation processes. Version Control: Proficiency in using Git repositories for version control and collaborative development. About IBM Consulting IBM Consulting is IBM s global consulting and professional services business, recognized for its market-leading capabilities in business and technology transformation. With deep industry expertise, we offer strategy, experience, technology, and operations services to many of the most innovative and valuable companies in the world. Our people are driven by the power of collaboration, aiming to accelerate clients' business success. At IBM Consulting, we believe in the responsible use of technology to help people, partners, and the planet. Qualification : Masters Degree in Computer Science, Software Engineering, or a related field (preferred, but not required).

Description Do you have a passion for leveraging AI and machine learning to create transformative solutions? We are seeking a Lead Data Scientist to drive innovation, scale critical data science products, and set new standards in AI excellence. As a thought leader in the team, you will play a pivotal role in mentoring peers, advancing AI capabilities, and delivering measurable business impact. Role As a Lead Data Scientist, you will own the development of complex AI solutions, driving innovation and scaling data science products that are critical to Salesforce Customer s success. You will serve as a thought leader, pushing boundaries while collaborating across teams. Key Responsibilities Machine Learning and AI Development Design, implement, and deploy state-of-the-art models, including LLMs and Generative AI frameworks. Perform model optimization for performance, scalability, and accuracy. Implement advanced feature engineering techniques for both structured and unstructured data. Leverage leading libraries like TensorFlow, PyTorch, and Hugging Face for experimentation and production. Write clean, maintainable, and highly optimized code while following advanced Git workflows like Gitflow. Build and optimize machine learning pipelines with tools like AWS SageMaker, Airflow, or Prefect. Deployment and tracking of real time and batch models Containerize applications using Docker and deploy them to cloud platforms. Implement robust CI/CD pipelines for seamless machine learning deployments. Design and optimize SQL queries and database schemas for efficient data retrieval. Develop and manage scalable feature engineering pipelines. Architect scalable, fault-tolerant machine learning systems. Drive engineering excellence through best practices in clean, modular code and system design. Team Leadership Mentor and guide junior data scientists, fostering a culture of learning and innovation. Establish and enforce standards and best practices for data science workflows. Influence stakeholders beyond the data science team, driving organizational alignment on DS/ML standards. Operational Excellence Establish and maintain streamlined, scalable processes for data science solution development. Align with company standards to ensure consistency and scalability in AI deployments. Business Impact Collaborate with stakeholders to define problems, metrics, and data-driven solutions. Translate complex technical insights into actionable business strategies that deliver measurable value. Qualifications Experience and Education 3+ years of experience in data science, including deploying AI/ML products at scale. Bachelor s or Master s degree in Mathematics, Computer Science, or a related field (or equivalent experience). Technical Expertise Mastery of Python for data manipulation, machine learning, and software development. Proficiency in ML frameworks like TensorFlow, PyTorch, and scikit-learn. Knowledge of software engineering principles and best practices, including version control, code optimization, modular design, and testing methodologies. Experience with tools like Docker, AWS SageMaker, and Airflow for pipeline optimization. Proficiency in SQL, Spark, and ETL processes. Familiarity with Generative AI, LLMs, NLP frameworks, and vector databases. Hands-on experience with cloud platforms like AWS. Soft Skills Craft detailed design documents and technical white papers. Translate technical concepts into business-friendly language. Lead cross-functional discussions and align diverse viewpoints. Deliver polished presentations to senior stakeholders. Exhibit exceptional problem-solving and leadership abilities. Why Join Us? Work on cutting-edge AI and data science projects with a measurable business impact. Collaborate with a talented and passionate team of professionals. Grow professionally with access to modern tools, technologies, and resources. Be part of a culture that values innovation, collaboration, and growth. Qualification : Bachelors or Masters degree in Mathematics, Computer Science, or a related field (or equivalent experience).