Qureos Mentor

Codash Solutions

MLE Bench &ndash; ML EngineersRole MLE Bench &ndash; ML EngineersYoE 3+ yearsFull-Time Contract (6 Months)Start Date Not Confirmed. Bench role Budget - 550/hrVetting Online assessment -https://developers.turing.com/vetsmith-subscribe/F1872-NU1NJ0PUHSkill ● Minimum 3+ years of overall experience in Machine LearningEngineer or Software Engineer (ML-focused).● Strong proficiency in Python for machine learning and data workflows.● Hands-on experience with model training, evaluation, and inferencepipelines.● Solid understanding of machine learning fundamentals(supervised/unsupervised learning, evaluation metrics, optimization).Availability Full Time Availability (8 Hrs) and 4 hours overlap with PST time zoneAbout TuringBased in San Francisco, California, Turing is the world&rsquo;s leading research accelerator for frontierAI labs and a trusted partner for global enterprises deploying advanced AI systems. Turingsupports customers in two ways: first, by accelerating frontier research with high-quality data,advanced training pipelines, plus top AI researchers who specialize in coding, reasoning,STEM, multilinguality, multimodality, and agents; and second, by applying that expertise to helpenterprises transform AI from proof of concept into proprietary intelligence with systems thatperform reliably, deliver measurable impact, and drive lasting results on the P&amp;amp;LRole OverviewWe are looking for experienced Machine Learning Engineers (MLE Bench) to contribute tobenchmark-driven evaluation projects focused on real-world machine learning systems. Thisrole involves hands-on work with production-grade ML codebases, model training andevaluation pipelines, and deployment-oriented workflows to help assess and improve thecapabilities of advanced AI systems.The ideal candidate is comfortable bridging research and engineering, working deeply withmodels, data, and infrastructure in realistic ML environments.What does day-to-day life look like?● Work with real-world ML codebases to support MLE Bench&ndash;style evaluation tasks.● Build, run, and modify model training, evaluation, and inference pipelines.● Prepare datasets, features, and metrics for ML benchmarking and validation.● Debug, refactor, and improve production-like ML systems for correctness andperformance.● Evaluate model behavior, failure modes, and edge cases relevant to benchmark tasks.● Write clean, reproducible, and well-documented Python code for ML workflows.● Participate in code reviews to ensure high standards of engineering quality.● Collaborate with researchers and engineers to design challenging, real-world MLengineering tasks for AI system evaluation.Requirements● Minimum 3+ years of overall experience as a Machine Learning Engineer or SoftwareEngineer (ML-focused).● Strong proficiency in Python for machine learning and data workflows.● Hands-on experience with model training, evaluation, and inference pipelines.● Solid understanding of machine learning fundamentals (supervised/unsupervisedlearning, evaluation metrics, optimization).● Experience working with ML frameworks (e.g., PyTorch, TensorFlow, JAX, or similar).● Ability to understand, navigate, and modify complex, real-world ML codebases.● Experience writing readable, reusable, and maintainable production-quality code.● Strong problem-solving and debugging skills.● Excellent spoken and written English communication skills.Perks of Freelancing With Turing● Work in a fully remote environment.● Opportunity to work on cutting-edge AI projects with leading LLM companies.Offer Details● Commitments Required: At least 4 hours per day and minimum 20 hours per weekwith overlap of 4 hours with PST.● Engagement Type: Contractor assignment (no medical/paid leave)● Duration of Contract: 3 months (adjustable based on engagement)● Location: India, Pakistan, Nigeria, Kenya, Egypt, Ghana, Bangladesh, Turkey, Brazil,MexicoJob Type: Contractual / Temporary Contract length: 6 monthsPay: ₹500.00 - ₹550.00 per hourExpected hours: No more than 40 per weekBenefits:<ul><li>Work from home</li></ul>Work Location: Remote

AI/ML Developer

Job Title: Agentic AI SpecialistExperience: 7&ndash;12 YearsEmployment Type: Full-time, PermanentWork Mode: OnsiteLocation: Noida / GurgaonJob Summary:We are hiring an experienced Agentic AI Specialist to design and build autonomous AI agents and multi-agent systems for real-world production use cases. The role requires strong hands-on experience with agentic architectures, LLM orchestration, and scalable AI systems.Key Responsibilities:Build and deploy agentic AI systems (single &amp; multi-agent)Design workflows with planning, reasoning, memory, and tool usageIntegrate AI agents with APIs, databases, and enterprise systemsOptimize performance, cost, reliability, and safetyMust-Have Skills:7&ndash;12 years of experience in AI/ML with strong agentic AI expertiseHands-on experience with LLM-based agents (LangChain/LangGraph, AutoGen, CrewAI, etc.)Strong Python skills; experience with LLMs (OpenAI, Anthropic, open-source models)Experience deploying AI systems to productionGood to Have:Multi-agent systems, RAG, vector databases, cloud platformsAI monitoring, guardrails, and MLOps experienceLocation: Onsite &ndash; Noida / GurgaonRole Type: Full-time, PermanentJob Types: Full-time, PermanentApplication Question(s):<ul><li>Are you comfortable for the Noida Location?</li><li>Do you have 7&ndash;12 years of experience in AI/ML with strong agentic AI expertise</li></ul><ul><li>Do you have Hands-on experience with LLM-based agents (LangChain/LangGraph, AutoGen, CrewAI, etc.)</li><li>Do you have Strong Python skills, experience with LLMs (OpenAI, Anthropic, open-source models)</li></ul>Work Location: In person

AI Developer

Join Codash Solutions and explore 2   exciting career opportunities. They're hiring for various roles with options for remote or on-site work. Apply today and become part of their innovative team.

Codash Solutions

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AI/ML Developer

AI Developer