Senior AI/ML Engineer - India

About the job Job Title: Senior AI/ML Engineer Employment Type: Contract Work Location: Remote, India Experience Range: 5 8 Years We re hiring for one of the top IT services companies. SPADTEK Solutions is proud to collaborate with leading IT organizations to source exceptional talent for their full-time and Contract positions.Client/Implementation Partner is a globally recognized IT services and consulting company, trusted by Fortune 500 clients and enterprises worldwide. With a strong presence across cloud, data engineering, AI, and digital transformation and is known for delivering cutting-edge solutions that drive business growth and innovation.Working on enterprise-scale projects with global clients.Exposure to next-gen technologies across cloud, data, and digital platforms.A culture that values continuous learning, collaboration, and career growth.Being part of a company consistently ranked among the top IT employers.If you are an experienced professional seeking a long-term career opportunity with one of the industry s most respected names, this is your chance to join top IT services company through SPADTEK Solutions. Key Responsibilities Design, develop, and deploy ML/DL models using Python. Build and maintain AI agents and agentic workflows using LLM frameworks. Develop GenAI solutions leveraging RAG, prompt engineering, and tool/function calling. Implement MLOps practices including CI/CD, model versioning, automated retraining, and monitoring. Build and optimize data pipelines and production-ready APIs. Work with Snowflake for data processing, orchestration, and AI workloads. Deploy AI solutions on GCP (Vertex AI, Cloud Run, Cloud Functions). Monitor model performance, data drift, latency, and operational metrics. Collaborate with cross-functional teams to deliver scalable AI solutions. Required Skills 5 8 years of AI/ML Engineering experience. Strong Python programming (NumPy, Pandas, Scikit-learn, TensorFlow/PyTorch). Hands-on experience building AI Agents / Agentic AI workflows. Expertise in LLMs, Generative AI, RAG, Prompt Engineering, and Tool Calling. Strong MLOps experience (CI/CD, model versioning, automated retraining, monitoring). Experience deploying AI/ML models into production. Strong SQL and Snowflake (Snowpipe, Streams, Tasks, Stored Procedures). Experience with GCP (Vertex AI, Cloud Run, Cloud Functions). Knowledge of REST APIs, Docker, Git, and data pipeline orchestration. Experience with monitoring tools such as Grafana, Prometheus, or Splunk. Good to Have Skills Snowflake Cortex AI. Elasticsearch, NLP, or Recommendation Systems. Responsible AI, AI Governance, and ML Audit practices. Salesforce AI integration. AI coding assistants (GitHub Copilot, Cursor, Claude Code). GCP, AWS, Azure, or Snowflake Certifications. Desired Skills and Experience Python, Snowflake, SQL, Git, LLMs, Generative AI, MLOps, Cloud, RAG, AI Agents, AI, REST API, ML