Sensiple Inc is a New Jersey corporation with over two decades of expertise in technology-driven solutions specialising in Customer Experience, Contact Center Solutions, Digital Transformation, Cloud Computing & Independent Testing. With an expert team that has enriched experience in executing & developing sustainable IT strategies in Healthcare, Technology, Retail, Logistics, Education, Telecommunications, Government and Media, we help our diverse customers to envision the future. By developing
Job Description Research, design, and develop new machine learning solutions and algorithms for driverless technology company. Duties may include: Explore, prototype, validate, and iterate new algorithms and strategies. Drive efforts to optimize, supervise and refine on-road performance for models in production. Be considered one of the technical leaders of the department who guides current and future technology choices. Consider the business and operational impact for different technology trad
Machine Learning Ops Engineer Location: Remote Required Qualifications & Experience: Masters +5 years of experience or Bachelor s degree + 7 years of experienceExcellent oral and written communication skillsFormulate and rapidly prototype various approaches as well as effectively communicate the pros and cons of each.Excellent time managementAbility to contribute to a high-performing, motivated workgroup by applying interpersonal and collaboration skills to achieve project goalsProvide technical
Key Responsibilities: Develop and implement regulatory credit risk models (PD, LGD, EAD) using Python, Spark (Scala), and distributed systems in a Kubernetes-based Azure environment.Build scalable ML pipelines integrated with MLflow, CI/CD (Azure DevOps), and model governance frameworks.Create model explainability layers using tools such as SHAP, LIME, or custom counterfactual frameworks to support model governance and audit.Participate in the lifecycle of CECL and CCAR models, including data pr
Quantitative Researcher with Machine Learning Experience Work From Home We are currently looking for a Quantitative Researcher with Machine Learning experience for a great opportunity. The company participates in a wide variety of marketplaces including global futures, equities, commodities, options, fixed income, and cryptocurrencies. Their culture emphasizes teamwork and focuses on continuous integration and test-driven development. This position is 100% Remote. Quantitative Researcher with
Machine Learning Quantitative Researcher Work From Home We are currently looking for a Machine Learning Quantitative Researcher for a great opportunity. The company participates in a wide variety of marketplaces including global futures, equities, commodities, options, fixed income, and cryptocurrencies. Their culture emphasizes teamwork and focuses on continuous integration and test-driven development. This position is 100% Remote. Machine Learning Quantitative Researcher Responsibilities: W
Formed in 2011, Inadev is focused on its founding principle to build innovative customer-centric solutions incredibly fast, secure, and at scale. We deliver world-class digital experiences to some of the largest federal agencies and commercial companies. Our technical expertise and innovations are comprised of codeless automation, identity intelligence, immersive technology, artificial intelligence/machine learning (AI/ML), virtualization, and digital transformation. POSITION DESCRIPTION: We are
**REMOTE - Must be local to Orlando, FL | Bilingual (English/Spanish) preferred | AI/ML Experience is a must** Our Client's new AI Center of Excellence is building a lean, impact-driven team to weave best-in-class AI chatbots, adaptive-learning engines, analytics into every corner of our academic and administrative ecosystem. If you love turning cutting-edge SaaS platforms into secure, FERPA-compliant services that faculty, staff, and students actually use, we want to meet you. Qualifications: F
Role: AI/ML Engineer Location: Remote (San Jose, CA) Contract: 6-9+ months. Experience: 8+ years. Job Description: The Opportunity We are seeking a talented and experienced Machine Learning Engineer. In this role, you will be at the forefront of applying Generative AI and traditional machine learning to solve complex business challenges. You will bridge the gap between data science and software engineering, taking models from concept to production and ensuring they are robust, scalable, and imp
Position: ML Ops Engineer (AWS GovCloud Databricks) Duration: 12+ months contract Location: Charlotte, NC (100% remote) JOB DESCRIPTION SKILLS NEEDED : Bachelor's degree in computer science, Engineering, Applied Mathematics or related field4 to 6 years of strong experience with AWS Gov Cloud environments, Export Control FedRAMP environmentsOverall 8 to 10 years of solid experience in the areas of data engineering, machine learning data science4 to 6 years of strong experience with the following
Contract- 12 Months We are seeking an experienced data scientist with expertise in AIOps and IT Operations to spearhead our Event Management Program. The ideal candidate will possess a deep understanding of data analytics, machine learning algorithms, and IT operations to help automate and optimize our event correlation and incident response systems. What Our AIOps Team Does: We integrate data from various monitoring platforms to achieve a comprehensive view of our IT environment.We harness the
Position: Machine Learning Engineer Location: 100% Remote (EST time zone) Duration: 12 Month Contract Only W2 Qualifications: 10+ years of IT experience and at least 5+ years working as a Machine Learning EngineerMust have strong programming skills in PythonExperience with both RDBMS and NoSQL databases (e.g., MongoDB, BigQuery)Hands-on experience with data preprocessing, feature engineering, and model evaluationExperience working with cloud platforms, especially Google Cloud Platform (Googl
Key Responsibilities Design and develop full-stack applications using React, Nest.js, Python, and FastAPI.Build and integrate RESTful APIs and third-party services.Develop and deploy machine learning models and generative AI applications.Work with SQL, NoSQL, and Graph databases (e.g., Neo4j).Implement CI/CD pipelines and DevOps best practices.Ensure compliance with HIPAA and data privacy standards (PII/PHI).Collaborate with cross-functional teams to deliver end-to-end solutions.Leverage LLMs an
Job Title: ML Engineer with Google Cloud Platform Job Location: Remote Work (Onsite for the first month in OH. Client will bare the expense) Duration: Long Term Job Type: C2C Interview Mode: 2 Round of Interview (Technical Screening) Job Description: Handson Machine Learning Experience in terms of full lifecycle of Developing/Training/Evaluating/Deploying ModelsExperience on Google Cloud Platform AI services (Vertex AI, Contact Centre AI, Document AI to name a few)Experience with Gen AI Experien
Senior Quantitative Developer - Machine Learning & Regulatory Credit Risk Location: Westerville, OH (Hybrid 3 days onsite) Type: Contract Key Responsibilities: Develop and implement regulatory credit risk models (PD, LGD, EAD) using Python, Spark (Scala), and distributed systems in a Kubernetes-based Azure environment.Build scalable ML pipelines integrated with MLflow, CI/CD (Azure DevOps), and model governance frameworks.Create model explainability layers using tools such as SHAP, LIME, or cu
Role: AI/ML Engineer Location: Remote (San Jose, CA) Experience: 8+ years. Job Description: The Opportunity We are seeking a talented and experienced Machine Learning Engineer. In this role, you will be at the forefront of applying Generative AI and traditional machine learning to solve complex business challenges. You will bridge the gap between data science and software engineering, taking models from concept to production and ensuring they are robust, scalable, and impactful. You'll work
The Opportunity We are seeking a talented and experienced Machine Learning Engineer. In this role, you will be at the forefront of applying Generative AI and traditional machine learning to solve complex business challenges. You will bridge the gap between data science and software engineering, taking models from concept to production and ensuring they are robust, scalable, and impactful. You'll work with a modern tech stack centered on Python, Google Cloud Platform, and the latest in LLM techno
Job#: 2081725 Job Description: Role Overview: Design, develop, and deploy advanced ML and generative AI solutions (e.g., RAG, image generation) using LLMs, prompt engineering, and MLOps best practices. Collaborate across teams to integrate Azure, Snowflake, and other technologies into scalable, secure AI applications. Key Responsibilities: Build generative AI systems using Azure OpenAI, Cognitive Search, and Snowflake Cortex.Fine-tune LLMs/SLMs using techniques like RLHF and prompt tuning.Dev
We re seeking a Senior AI/ML Engineer to support a large-scale cloud-based analytics platform. This mission-critical Platform-as-a-Service (PaaS) enables secure, scalable development and deployment of traditional and generative AI models. The platform integrates tools like Databricks, JupyterHub, SageMaker, Bedrock, and more. In this role, you ll help build reusable solutions, improve infrastructure readiness, and ensure platform services meet technical, compliance, and performance standards. Re
