Open Positions
Machine Learning Engineer (2-4 years experience)
DSS is looking for Machine Learning Engineer
- Key Responsibilities:
- Lead the design, development, training, and deployment of complex machine learning models, focusing on deep learning.
- Spearhead computer vision projects for sophisticated analysis and interpretation of visual data in high-impact, real-world applications.
- Architect and manage product deployment across diverse platforms, ensuring scalability, reliability, and optimal performance.
- Utilize advanced cloud technologies (AWS, GCP, Azure) to build, deploy, and maintain robust machine learning infrastructure.
- Oversee entire product development cycle, from advanced research, prototyping to high-performance production models & iterative optimization.
- Drive cross-functional collaboration to define, implement, and expand AI-driven solutions aligned with broader business goals.
- Implement, monitor, and improve server-side architecture and DevOps practices to maximize product efficiency, security, and resilience.
- Required Skills & Experience:
- Bachelor’s or Master’s degree in Engineering, Computer Science, or a related technical field.
- 2-4 years of proven experience with production-grade code for machine learning applications, encompassing the full product life cycle.
- Strong expertise in machine learning frameworks (TensorFlow, PyTorch, Keras) and a solid understanding of algorithmic structures.
- Proficient in cloud computing environments (AWS, GCP, Azure), with practical experience in deploying scalable ML models and managing high-volume data processing.
- Advanced proficiency in Python, with substantial experience in DevOps practices, CI/CD pipelines, and containerization (Docker, Kubernetes)
- Demonstrated experience in the complete AI/ML pipeline: data preparation, model development, tuning, testing, deployment, and continuous monitoring.
- Exceptional analytical, problem-solving, and critical-thinking skills in a fast-paced, agile development environment.
- Working Hours:
- Day Shift: Mon to Sat, 09:00 to 18:00 IST
- Perks & Benefits:
- 24 paid leaves per year
- 13 national/festival holidays per year
Full Stack Developer (2-4 Years Experience)
DSS is looking for Full Stack Developer
- Key Responsibilities:
- Develop, test, and deploy scalable web applications with seamless integration of machine learning models.
- Design user-friendly frontend interfaces that enhance user experience and ensure responsiveness.
- Build and manage efficient, secure, and maintainable backend systems, including API development for model communication.
- Collaborate with data scientists to ensure smooth deployment, monitoring, and optimization of AI/ML models.
- Implement and manage CI/CD pipelines for rapid deployment and continuous integration of model updates.
- Optimize applications for performance, scalability, and security across cloud environments (AWS, GCP, Azure).
- Troubleshoot, debug, and enhance applications to maintain high performance and reliability.
- Coordinate with cross-functional teams to define project requirements and ensure seamless integration.
- Required Skills & Experience:
- Bachelor’s or Master’s degree in Computer Science, Engineering, or a related technical field.
- 2-4 years of hands-on experience as a Full Stack Developer, particularly in deploying production-ready applications.
- Proficiency in frontend technologies (React, Angular, Vue.js, HTML, CSS) and backend frameworks (Node.js, Django, Laravel, Flask).
- Experience integrating machine learning models with applications, including handling model inference via RESTful APIs.
- Strong knowledge of cloud environments (AWS, GCP, Azure) for application deployment and model management.
- Familiarity with DevOps practices, CI/CD, containerization (Docker), and orchestration (Kubernetes).
- Proficient in database management with SQL and NoSQL databases (e.g., PostgreSQL, MongoDB).
- Strong analytical and problem-solving skills with a proactive attitude towards adapting in an agile development environment.
- Working Hours:
- Day Shift: Mon to Sat, 09:00 to 18:00 IST
- Perks & Benefits:
- 24 paid leaves per year
- 13 national/festival holidays per year
Machine Learning Engineer (0-2 years)
DSS is looking for Machine Learning Engineer
- Key Responsibilities:
- Model Development: Design, train, and deploy ML models, focusing on deep learning for impactful solutions.
- Computer Vision Projects: Analyze and process visual data, driving real-world AI applications.
- Product Deployment: Ensure robust, scalable deployments across various platforms.
- Cloud Integration: Use cloud tech (AWS, GCP, Azure) to manage and optimize ML models and infrastructure.
- Full Product Lifecycle: Own projects end-to-end, from prototyping to production optimization.
- Cross-functional Collaboration: Work with diverse teams to build and scale AI solutions.
- Server Management: Implement server-side optimization to enhance performance.
- Required Skills & Experience:
- Education: Bachelor’s in Engineering, Computer Science, or related field.
- Experience: 0-2 years in production-ready code development.
- ML & DL Frameworks: Proficient in TensorFlow, PyTorch, or Keras.
- Cloud Expertise: Hands-on experience with cloud platforms for model deployment.
- Programming: Strong Python skills and exposure to DevOps.
- Product Lifecycle Understanding: Knowledge of data prep, model training, testing, deployment, and monitoring.
- Problem-solving: Ability to thrive in an agile environment.
- Working Hours:
- Day Shift: Mon to Sat, 09:00 to 18:00 IST
- Perks & Benefits:
- 24 paid leaves per year
- 13 national/festival holidays per year
Full Stack Developer (0-2 years experience)
DSS is looking for Full Stack Developer
- Key Responsibilities:
- Assist in developing, testing, and deploying web applications in both frontend and backend environments.
- Collaborate with experienced developers to create intuitive and responsive user interfaces.
- Support backend development tasks, including API creation, database management, and data processing.
- Work alongside data science and engineering teams to integrate machine learning models into applications.
- Help set up CI/CD pipelines for automated deployment of applications and models.
- Optimize applications for performance, scalability, and security under the guidance of senior team members.
- Engage in code reviews, learn best practices, and contribute ideas to enhance project quality and efficiency.
- Required Skills & Experience:
- Bachelor’s degree in Computer Science, Engineering, or a related technical field.
- 0-2 years of experience in full stack development, including internships or personal projects.
- Basic proficiency in frontend technologies (HTML, CSS, JavaScript frameworks such as React, Angular, or Vue).
- Knowledge of backend technologies (Node.js, Django, or Flask) and RESTful API development.
- Exposure to cloud platforms (AWS, GCP, Azure) and understanding of basic deployment concepts is a plus.
- Familiarity with version control (Git) and understanding of DevOps concepts like CI/CD.
- Eagerness to learn, with strong problem-solving skills and the ability to thrive in a collaborative, agile environment.
- Working Hours:
- Day Shift: Mon to Sat, 09:00 to 18:00 IST
- Perks & Benefits:
- 24 paid leaves per year
- 13 national/festival holidays per year