Job Title: ML EngineerLocation: Ahmedabad (On-site)Employment Type: Full-time Company DescriptionHolboxAI is at the forefront of innovation in Generative AI and Machine Learning, empowering businesses globally with state-of-the-art solutions. Our team of AI specialists and data scientists pushes the boundaries of what's possible, delivering practical AI-driven solutions for real-world challenges. From revolutionizing data processing to pioneering problem-solving, we reshape industries with deep technical prowess and a visionary approach to artificial intelligence. Who you are:Design, develop, and implement Machine Learning models, including Deep Learning and Natural Language Processing, using various algorithms and techniques.Work with large datasets to perform data cleaning, preprocessing, feature engineering, and analysis.Develop and deploy AI/ML models on Cloud platforms.Experiment with and implement Generative AI models and techniques for various applications.Contribute to the development of Agentic AI systems and workflows.Evaluate the performance of AI/ML models and identify areas for improvement.Collaborate with Data Engineers to build and maintain data pipelines for AI/ML applications.Stay up-to-date with the latest advancements in AI and related technologies.Document code, models, and processes clearly and effectively.Work closely with product managers and other stakeholders to understand requirements and deliver impactful solutions.Participate in code reviews and contribute to maintaining high code quality. Required Skills & Experience:Minimum of 2-6 years of hands-on experience in developing and deploying AI/ML solutions.Must have strong hands-on experience with Cloud platforms (e.g., AWS, Azure, GCP) for AI/ML workloads.Must have deep hands-on experience in Data Science methodologies and techniques.Must have extensive hands-on experience in developing and deploying Machine Learning models using various frameworks (e.g., TensorFlow, PyTorch, scikit-learn).Must have proven hands-on experience with Generative AI models and techniques (e.g., Large Language Models, Diffusion Models).Must have practical hands-on experience in building and deploying Agentic AI systems.Strong programming skills in Python and experience with relevant libraries (e.g., NumPy, Pandas, scikit-learn, TensorFlow, PyTorch, Transformers).Solid understanding of statistical modeling and machine learning algorithms.Experience with AI tools and techniques.Excellent problem-solving and analytical skills.Good communication and collaboration skills.Good to have a AWS hands-on work experience.
As a Senior DevOps Engineer at HolboxAI, located in Ahmedabad, India, you will play a crucial role in designing, implementing, and managing our AWS cloud infrastructure. Your primary focus will be on automating deployment processes and migrating production workloads to AWS while ensuring robust, scalable, and resilient systems that adhere to industry best practices. Your key responsibilities will include leading the assessment, planning, and execution of AWS production workload migrations with minimal disruption, building and managing Infrastructure as Code (IaC) using tools like Terraform or CloudFormation, optimizing CI/CD pipelines for seamless deployment through Jenkins, GitLab CI, or AWS CodePipeline, implementing proactive monitoring and alerting using tools such as Prometheus, Grafana, ELK Stack, or AWS CloudWatch, and enforcing best practices in cloud security, including access controls, encryption, and vulnerability assessments. To excel in this role, you should have 3 to 5 years of experience in DevOps, Cloud Infrastructure, or SRE roles with a focus on AWS environments. Proficiency in core AWS services like EC2, S3, RDS, VPC, IAM, Lambda, and cloud migration is essential. You should also be skilled in Terraform or CloudFormation, proficient in scripting and automation using Python or Bash, experienced with CI/CD tools like Jenkins, GitLab CI, or AWS CodePipeline, familiar with monitoring tools such as Prometheus, Grafana, ELK Stack, or AWS CloudWatch, and possess a strong understanding of cloud security principles. Preferred qualifications for this role include certifications such as AWS Certified Solutions Architect and AWS Certified DevOps Engineer, expertise in Docker and Kubernetes for containerization, familiarity with AWS Lambda and Fargate for serverless applications, and skills in performance optimization focusing on high availability, scalability, and cost-efficiency tuning. At HolboxAI, you will have the opportunity to work on cutting-edge AI technologies in a collaborative environment that encourages open knowledge sharing and rapid decision-making. Additionally, you will benefit from generous sponsorship for learning and research initiatives. If you are excited about this opportunity and ready to contribute to HolboxAI's promising journey, we invite you to apply now and take the next step in your career. Join us in shaping the future of cloud engineering and technology at HolboxAI.,