Software Engineer, AI Stack

Role: As an AI Stack Software Engineer, you will be responsible for designing, developing, and maintaining AI-based applications and systems. You will work on a variety of projects that may involve machine learning, deep learning, natural language processing, computer vision, and other AI technologies. Your role will include end-to-end development, from specifications to deployment, and scaling.

Qualifications

• BTech/MTech with 3+ years of experience in software development
• Excellent knowledge of C++/Java, data structures
• Strong understanding of machine learning and deep learning algorithms
• Experience with AI frameworks (TensorFlow, PyTorch, etc.).
• Knowledge of containerization (Docker) and orchestration (Kubernetes).
• Excellent problem-solving and analytical skills.
• Strong communication and teamwork abilities.
• Ability to work in a fast-paced, collaborative environment.

Role: As a Staff AI Stack Software Engineer, you will lead the design, development, and deployment of AI-based applications and systems. You will play a key role in setting the technical direction for AI projects and collaborating with cross-functional teams. This role requires advanced knowledge of AI frameworks, software engineering best practices, and experience in deploying scalable AI solutions. You will also mentor junior engineers and contribute to strategic technology decisions.

• Bachelors or Masters degree in Computer Science, Engineering, Data Science, or a related field.
• 5+ years of experience in software engineering with a focus on AI/ML. Experience in leading teams and managing complex projects.
• Deep understanding of machine learning, deep learning, and AI frameworks (TensorFlow, PyTorch, etc.).
• Proficiency in multiple programming/scripting languages (Python, Java, C++, etc.).
• Expertise in containerization and orchestration (Docker, Kubernetes).
• Strong knowledge of software engineering best practices and design patterns.
• Excellent leadership and communication skills.
• Ability to work collaboratively with cross-functional teams.
• Strong problem-solving and decision-making skills.
• Experience in project management and stakeholder engagement.

Role: As an AI Stack Software Manager, you will be responsible for leading a team of AI engineers in the design, development, and deployment of AI-based systems. You will play a key role in project planning, resource allocation, and stakeholder management. This role requires a solid background in AI technologies, strong leadership, and experience in managing complex AI projects. You will ensure the successful delivery of AI solutions while fostering a collaborative and innovative team culture.

• Bachelors or Masters degree in Computer Science, Engineering, Data Science, or a related field. Advanced degrees are a plus.
• At least 8 years of experience in software engineering, with a significant focus on AI/ML. Experience in leading teams and managing AI projects.
• Deep understanding of machine learning, deep learning, and AI frameworks (TensorFlow, PyTorch, etc.).
• Deep understanding of AI/ML concepts, algorithms, and frameworks (TensorFlow, PyTorch, etc.).
• Proficiency in programming/scripting languages such as Python, Java, or C++
• Knowledge of containerization and orchestration (Docker, Kubernetes).
• Excellent leadership and team management skills.
• Strong project management and organizational skills.
• Effective communication and interpersonal skills.
• Ability to engage with stakeholders and align projects with business goals.

Role: As a Senior Staff Engineer in Software Validation, you will lead the validation and quality assurance efforts for software products. This role involves designing comprehensive validation strategies, executing test plans, and ensuring compliance with industry standards. You will work closely with software developers, product managers, and other stakeholders to identify and resolve quality issues. This role requires deep technical expertise, leadership skills, and a commitment to ensuring high-quality software releases. You are required to define and setup validation flows/frameworks, CI/CD tools, drive high quality SW product releases.

• Bachelors or Masters degree in Computer Science, Software Engineering, or a related field.
• At least 10 years of experience in software validation, quality assurance, or a related field. Experience leading validation projects and teams.
• Deep understanding of software testing methodologies,…