Lead ML Engineer
2 weeks ago
With a strong focus on innovation and client satisfaction, GSPANN delivers cutting-edge solutions that drive business success and operational excellence. GSPANN helps retail, finance, manufacturing, and high-technology brands deliver competitive customer experiences and increased revenues through our solution delivery, technologies, practices, and operations for each client. For more information, visit
Location : Hyderabad/Pune/Gurugram/ Noida
AI Operations (AI Ops) Engineer AI Ops Engineer with a strong background in Python, API development, Large Language Models (LLM) concepts, ML Ops, Azure Cloud and AI operations with 8+ years of experience working on advanced AI/ML systems, cloud infrastructure, and API integrations, with a focus on operationalizing AI models and maintaining robust systems for AI-driven applications. This role requires a combination of technical expertise in cloud computing, machine learning, and software engineering. Collaborate with IT operations and business teams to support business user issues, requests, Production support and deployments; advocate best practices and recommend technical solutions for improvements in usability of application and systems performance.
Key Responsibilities:
• Technical Operations: Review, Implement and support enterprise-level AI platforms and services to drive IT operation excellence. Ensuring that new use cases are onboarded smoothly and operationalized
• AI Ops & Model Deployment: Lead the operationalization and deployment of AI/ML models into production environments, ensuring they are highly available, scalable, and performant. Implement and monitor Continuous Integration (CI) and Continuous Deployment (CD) pipelines.
• Python Development: Design and develop Python-based solutions for automating and managing the lifecycle of AI/ML models, including data ingestion, model training, and real-time prediction workflows.
• API Integration: Build and maintain robust APIs for model serving and integration with other systems. Ensure seamless communication between models, data pipelines, and consumer applications.
• LLM Concepts and Implementation: Apply knowledge of Large Language Models (LLMs) to develop AI-driven applications and services, ensuring models are optimized and performing efficiently in production.
• ML Ops: Implement and maintain Machine Learning Operations (ML Ops) practices for version control, monitoring, logging, and debugging of AI/ML models in production. Support model retraining, versioning, and A/B testing.
• Cloud Infrastructure: Leverage Azure Cloud services for hosting and scaling AI applications, ensuring security, compliance, and performance. Implement infrastructure as code (IaC) using tools like Azure DevOps.
• Monitoring & Optimization: Continuously monitor the performance of deployed AI models and optimize them for efficiency, cost-effectiveness, and accuracy. Implement alerting and logging mechanisms by scripts or through observability solution.
Required Skills & Qualifications:
• Experience: 8-10 years of experience in software development, with a focus on AI/ML operations, cloud infrastructure, and DevOps practices.
• Data Science: Advanced proficiency in Python, including experience with AI/ML libraries such as TensorFlow, PyTorch, scikit-learn, and Pandas.
• MLOPS Engineer APIs: Strong experience in designing, developing, and maintaining RESTful APIs for AI/ML model deployment and integration.
• ML Ops: In-depth understanding of Machine Learning Operations, including model versioning, monitoring, deployment, and automation of ML workflows.
• Data Engineer Azure Cloud: Hands-on experience with Azure Cloud services (Azure ML, Azure DevOps, Azure Functions, etc.) and cloud infrastructure management.
• DevOps & CI/CD: Proficient in setting up CI/CD pipelines for AI/ML models and using tools like Jenkins, GitLab, or Azure DevOps for automation.
• Version Control: Expertise with Git and version control best practices for collaborative development of AI systems.
• Problem Solving: Strong analytical and troubleshooting skills, with the ability to identify root causes and optimize AI/ML models and systems.
• Communication & Collaboration: Excellent communication skills and the ability to work effectively in a cross-functional team environment.
Education:
• A Bachelor's or Master's degree in Computer Science, Engineering, Data Science, or a related field is preferred.
Why Choose GSPANN? At GSPANN, we don't just serve our clients—we co-create. The GSPANNians are passionate technologists who thrive on solving the toughest business challenges, delivering trailblazing innovations for marquee clients. This collaborative spirit fuels a culture where every individual is encouraged to sharpen their skills, feed their curiosity, and take ownership to learn, experiment, and succeed.
We believe in celebrating each other's successes—big or small—and giving back to the communities we call home. If you're ready to push boundaries and be part of a close-knit team that's shaping the future of tech, we invite you to carry forward the baton of innovation with us.
Let's Co-Create the Future—Together.
Discover Your Inner Technologist Explore and expand the boundaries of tech innovation without the fear of failure.
Accelerate Your Learning Shape your career while scripting the future of tech. Seize the ample learning opportunities to grow at a rapid pace.
Feel Included At GSPANN, everyone is welcome. Age, gender, culture, and nationality do not matter here, what matters is YOU.
Inspire and Be Inspired When you work with the experts, you raise your game. At GSPANN, you're in the company of marquee clients and extremely talented colleagues.
Enjoy Life We love to celebrate milestones and victories, big or small. Ever so often, we come together as one large GSPANN family.
Give Back Together, we serve communities. We take steps, small and large so we can do good for the environment, weaving in sustainability and social change in our endeavors.
We invite you to carry forward the baton of innovation in technology with us.
Let's Co-Create GSPANN | Consulting Services, Technology Services, and IT Services Provider GSPANN provides consulting services, technology services, and IT services to e-commerce businesses with high technology, manufacturing, and financial services.
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