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Vetted AI & Machine Learning Professionals in Remote
Pre-screened and vetted in Remote.
Mid-level AI/ML Engineer specializing in recommendations, NLP, computer vision, and MLOps
Mid-level AI/ML Engineer specializing in NLP, LLMs, and MLOps in Financial Services
Mid-level AI/ML Engineer specializing in scalable ML systems and cloud MLOps
Intern UI/UX Engineer specializing in accessible, responsive web interfaces
Mid-level AI/ML Engineer specializing in recommender systems, NLP, and MLOps
Shon Little
Director-level Software Engineering Leader specializing in AI platforms and full-stack cloud systems
“Engineering leader with BCG consulting background who has built roadmaps and scaled AI and data platforms for pharma and manufacturing clients. Led architecture shifts (Django monolith to event-driven microservices) for high-volume IoT SaaS products, improving deployment speed and enabling zero-downtime releases. Also established a near-shore engineering team in São Paulo and has managed distributed teams across multiple countries, leveraging strong stakeholder communication and a prior professional acting background for storytelling.”
Pratik Jaiswal
Mid-level AI/ML Engineer specializing in financial services ML and MLOps
“ML engineer/data scientist with M&T Bank experience who built a production reinforcement-learning portfolio analytics tool for wealth management, emphasizing near real-time performance via batch/serving separation and robust generalization through stress-scenario backtesting and RL regularization. Strong MLOps background (Airflow, Grafana, MLflow) and proven ability to drive adoption with non-technical stakeholders using KPI alignment and SHAP-based explanations.”
Mid-level Machine Learning & Generative AI Engineer specializing in enterprise RAG and MLOps
Mid-level AI/ML Engineer specializing in NLP, MLOps, and compliance-focused ML systems
Mid-level AI/ML Engineer specializing in NLP, speech AI, and RAG systems
Mid-level AI/ML Engineer specializing in forecasting, MLOps, and generative AI
Anvith Reddy Dodda
Mid-level AI Engineer specializing in GenAI, NLP, and MLOps
“LLM/agentic-systems engineer with PayPal experience hardening an LLM-powered fraud support assistant from prototype to production, focusing on low-latency distributed architecture, rigorous evaluation/testing, and security/compliance. Comfortable in customer-facing and GTM contexts—runs technical demos/workshops, builds tailored pilots, and aligns sales/CS with engineering to close deals and drive adoption.”
“Built and productionized an AI-native, agentic appeals decisioning system for health insurance operations, automating 500k+ scanned appeals/year. Delivered measurable impact by cutting review time from 12–15 minutes to ~3 minutes and auto-resolving ~85% of cases with strong auditability, evaluations, and human-in-the-loop guardrails, deployed as containerized microservices on Azure AKS.”
Nikita Prasad
Mid-level AI/ML Engineer specializing in NLP, MLOps, and scalable data pipelines
“Built and shipped a production LLM-powered personalized client engagement assistant in the financial domain, balancing real-time recommendations with strict privacy/compliance requirements. Demonstrates strong MLOps/LLMOps depth (Airflow + MLflow, containerized microservices, drift monitoring) and a privacy-by-design approach validated in collaboration with risk and compliance teams.”
Sharath Kumar
Mid-level AI/ML Engineer specializing in LLM fine-tuning, RAG, and MLOps
“AI/ML engineer with HP experience building and productionizing an LLM-powered document intelligence platform (LangChain + Pinecone) to deliver semantic search and contextual Q&A across millions of enterprise support documents. Demonstrates strong MLOps and scaling expertise (Airflow, Kubernetes autoscaling, Triton GPU inference, monitoring with Prometheus/W&B) plus a structured approach to evaluation (A/B tests, shadow deployments, failover) and effective collaboration with non-technical stakeholders.”
Anvitha Anchala
Mid-level Robotics & Computer Vision Engineer specializing in ADAS and real-time perception
“Robotics/ADAS engineer who built an assistive feeding robot with reliable 3D mouth tracking (RealSense + MediaPipe) and ROS 2 integration to a WidowX250s arm, solving depth-noise, timing, and workspace/singularity issues for stable low-latency behavior. Also optimized a real-time lane-keeping controller at Hyundai using signal logging/replay, filtering (LPF/Kalman), and feedforward+PI tuning, with experience across SIL/HIL and CAN-based ECU integration.”
Siva Sai Kumar Mogalluru
Mid-level AI Engineer specializing in Generative AI, MLOps, and NLP for finance and healthcare
“Built and deployed a secure, production LLM-based document summarization and risk-highlighting tool for financial auditors, running inside a private Azure environment to protect confidential data. Focused on reliability (hallucination mitigation via retrieval-based prompts and source citations) and validated performance through comparisons to auditor summaries plus a user pilot, cutting review time by about half.”
Pooja Dokuri
Mid-level AI/ML Engineer specializing in GenAI, RAG pipelines, and cloud MLOps
“Built and deployed a production LLM + vector search clinical decision support system at UnitedHealth Group, retrieving medical evidence and patient context in real time for prior authorization and risk scoring. Strong in end-to-end RAG architecture (Hugging Face embeddings, Pinecone/FAISS, SageMaker, Redis) plus orchestration (Airflow/Kubeflow) and rigorous evaluation/monitoring, with demonstrated ability to align solutions with clinical operations stakeholders.”
Adithya Chittajallu
Mid-level AI/ML Engineer specializing in LLM systems, MLOps, and Healthcare AI
“Built and shipped a production-grade agentic RAG system at CVS Health for patient adherence and medication recommendations, processing 20k+ patient records/day. Strong focus on real-world reliability: hybrid retrieval tuned with re-ranking (<400ms latency), strict JSON/schema validation and tool guardrails, and monitoring/drift detection that reduced MTTD from 6 days to 18 hours while improving recommendation accuracy (+8%) and cutting escalations (~23%).”
Dheeraj Vajjarapu
Mid-level AI/ML Engineer specializing in MLOps, NLP/LLMs, and computer vision
“Built and shipped a production LLM/RAG risk-case summarization and triage system used by fraud/compliance analysts, with strong grounding controls (evidence-cited outputs and refusal on low confidence). Demonstrates end-to-end ownership across retrieval quality, Airflow-orchestrated indexing pipelines, and compliance-grade privacy (PII redaction, RBAC, encrypted redacted logging, and auditable prompt/model versioning) plus a tight feedback loop with non-technical domain experts.”
Harrishkumar Loganathan
Mid AI/Machine Learning Engineer specializing in FinTech and Generative AI
“AI/ML engineer with hands-on ownership of enterprise LLM deployments at Freshworks, including a large-scale RAG chatbot serving 15,000+ users across six departments. Stands out for combining deep production engineering skills—AWS microservices, Kubernetes, observability, retrieval quality, and faithfulness evaluation—with strong cross-functional stakeholder leadership and prior large-scale fraud data pipeline experience at Socure.”