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Senior Technical Lead - Generative AI
Hands-on technical leadership role designing and delivering production-grade Generative AI and Agentic AI solutions, including LLM-powered applications, RAG pipelines, multi-agent architectures, and LLMOps using Python, agent frameworks, and cloud platforms.
Developer Relations Engineer
Developer Relations Engineer at Nscale builds and scales programs to engage developers with Nscale’s AI infrastructure platform, focusing on content creation, community growth, and feedback loops to drive adoption of AI workloads.
Senior Manager, Product Operations
Instawork is on a mission to create meaningful economic opportunities for skilled hourly professionals in communities around the globe. Our AI-powered labor marketplace helps local businesses scale, and enables global…
Quantitative Analyst- Founders Office
Quantitative Analyst acting as the founder's analytical partner, using SQL and AI tooling to build cross-functional data models, run ad-hoc deep dives, and translate data into commercial recommendations for a shipping/logistics SaaS platform.
Staff AI Product Engineer
Staff engineer defines the AI platform’s architecture, APIs, and standards that multiple teams rely on to build and scale GenAI services reliably and efficiently.
Director, Developer Relations
Lead and build the global Developer Relations function for Nscale's AI infrastructure platform—creating technical content, driving developer adoption, representing the company at events, and scaling the DevRel team from the ground up.
DevOps Engineer (AI)
DevOps AI Platform Engineer designing, developing, and maintaining enterprise GenAI solutions (RAG, agentic workflows, conversational AI) on Azure, with CI/CD, LLMOps, and L3 support responsibilities using Python/TypeScript.
AI Engineer
Designs and deploys AI agents in Python to automate workflows and decisions, integrating with internal systems and third-party models while measuring business impact in a fast-paced trading environment.
Data Scientist
Develops AI/ML models (text/image processing) for clinical research using AWS SageMaker; collaborates with cross-functional teams to deploy models for trial acceleration and healthcare insights.
Data Scientist & ML Engineer - Predictive Analytics & Agentic AI
Builds and deploys predictive/prescriptive ML models for procurement, manufacturing, and sales at a global snacks producer, integrating AI into agentic workflows and bridging technical rigor with business decision-making.
Principal GenAI Engineer – Backend / Fullstack
Lead enterprise-scale GenAI implementations for Fortune 500 clients, designing and building production-grade LLM, RAG, and agent-based systems using Python, cloud platforms (AWS/Azure/GCP), and frameworks like LangChain.
AI/ML Lead Engineer
Leads AI/ML projects from ideation to production, specializing in LLM/Agentic AI development, cloud-based model deployment, and MLOps best practices for fintech applications.
Lead AI Engineer
Lead AI Engineer architecting and delivering end-to-end AI solutions—classical ML, deep learning, LLMs, multimodal systems, and MLOps—while mentoring a team of AI/ML engineers, based in Pune.
AI/ML Intern
Build and fine-tune AI models using Python, PyTorch, and Hugging Face; develop NLP and computer vision applications in a startup environment.
AI/ML Engineer
AI/ML Engineer building and deploying generative AI, NLP, and computer vision models using Python, PyTorch, Keras, and Hugging Face, with RESTful API development for model integration.
AI/ML Intern
AI/ML Intern building and fine-tuning LLMs and other models using Python, PyTorch, and Hugging Face, with exposure to NLP, computer vision, and API development in Pune, India.
Consultant – AI, LLM/SLM & Scalable ML Systems
AI Consultant providing technical leadership for building and deploying scalable ML/LLM/SLM applications—including RAG pipelines, custom agents, multimodal systems, and cloud/MLOps infrastructure—on a part-time remote contract basis.
Data Engineer
Data Engineer building and maintaining scalable ETL data pipelines for AI/ML model training, using Python, SQL, and tools like Airflow in an onsite role in Pune.
Machine Learning (ML) Engineer
The ML Engineer integrates AI/ML models into production, optimizes inference pipelines, manages CI/CD workflows, and builds Agentic/multimodal AI systems using Python, PyTorch/TensorFlow, Docker, Kubernetes, and cloud platforms.