30 Job openings found

Technical Lead Our engineering team is growing and we are looking to bring on board a Technical Lead who can help us transition to the next phase of the company. You will be pivotal in refining our system architecture, ensuring the various tech stacks play well with each other. A ...

Designation: Machine Learning Engineer Years of Experience : 8 to 14 Years Location - Remote Role Summary: We are seeking a Machine Learning Engineer (MLE) contractor who will play a critical role in developing and implementing machine learning solutions that drive innovation and efficiency across our projects. The ideal candidate will possess a strong ...

We are looking for a hands-on Technical Lead to be the primary architectural authority for our AI-powered platform. This isn't just a management role—it’s a chance to architect the future, mentor a talented team, and turn "bleeding-edge" AI into real-world value. 🛠️ What You’ll Do: Architect & Build: Lead the design of secure, ...

Senior AI Engineer  Location: Charlotte, NC (4 days 1 day remote) W2 Candidates only Local Nearby Candidates Required     Key Responsibilities Architect and develop AI-driven IVR and conversational systems using Python Build English-Spanish translation systems. Perform data analysis using SQL on large-scale IVR and interaction datasets Design and deploy LLM workflows (prompt engineering, RAG, evaluation) for voice and chat use cases Lead development of agentic AI ...

I hope you’re having a great day! I wanted to reach out because our client is hiring for Lead Software Engineer – AI (Generative AI) Location: Remote We are hiring a Lead Software Engineer – AI with strong experience in building Generative AI-based products in a commercial environment. Experience Required: ...

Preference: Female candidates preferred Overview We are seeking a passionate and self-driven AI/ML Developer with 2–3 years of experience to build intelligent, data-driven solutions. The ideal candidate should be capable of independently researching, designing, and deploying AI models while contributing to product innovation and future AI initiatives. Key Responsibilities Design, develop, and deploy AI/ML models ...

Technical Skills Strong programming experience in Python (mandatory) Hands-on experience with ML/AI frameworks: TensorFlow, PyTorch, Keras, Scikit-learn Knowledge of Machine Learning, Deep Learning, and statistical modeling Experience with NLP (text classification, chatbots, LLMs) or Computer Vision is a plus Data handling using NumPy, Pandas and visualization tools Experience with SQL / NoSQL databases Familiarity with REST APIs ...

Role Overview We are seeking a high-calibre AI Engineer – Lead to spearhead end-to-end design, deployment, and lifecycle management of AI/ML solutions. The role is critical to driving automation, predictive analytics, and data-driven intelligence across business use cases, ensuring scalable and compliant AI deployments. Key Responsibilities Design, develop, and deploy AI/ML models aligned to defined business use ...

Job Description We are looking for a Senior Machine Learning Engineer who can take ownership of designing, developing, and deploying Computer Vision solutions in production environments. Responsibilities :As a Senior ML Engineer, you will lead the design, development, and deployment of advanced computer vision systems that power AI automation across ...

About the Role : We are looking for a hands-on Full Stack Data Scientist who can independently manage the  entire machine learning lifecycle—from data wrangling to deployment—without relying on a  dedicated data engineering team. This role is ideal for someone who thrives in a fast-paced, self- directed environment and is passionate about building real-world ML solutions that drive  business outcomes.      Key Responsibilities : ∙Own the full ML pipeline: data ingestion, cleaning, feature engineering, model  development, deployment, and monitoring.  ∙Build and fine-tune models using Python and frameworks like Scikit-learn, XGBoost,  TensorFlow, or PyTorch.  ∙Deploy models using Databricks, MLflow, and cloud-native tools (preferably Azure).  ∙Develop robust, scalable pipelines using PySpark or native Databricks workflows.  ∙Collaborate with BI analysts and business stakeholders to translate requirements into  production-ready solutions.  ∙Maintain and improve existing models and pipelines with minimal supervision.      Required Skills : ∙3+ years of experience in applied data science or ML engineering.  ∙Strong Python programming skills, including experience with data manipulation and ML libraries.  ∙Experience with Databricks and cloud-based ML deployment (Azure preferred).  ∙Ability to work independently across the full stack of ML development and deployment.    ∙Familiarity with version control (Git), CI/CD, and MLOps best practices.  ∙Excellent communication skills and ability to work with remote teams across time zones.      Nice to Have  ∙Experience with data pipeline development using PySpark or Delta Lake.  ∙Exposure to Docker, REST APIs, or real-time inference.  ∙Prior experience working in a manufacturing or industrial analytics environment.    Interview Process:  Shortlisted candidates will be required to complete:  ∙An online technical skills assessment focused on Python and applied machine learning.  ∙An in-person practical test at our Ahmedabad Tech Center to evaluate real-world  problem-solving and deployment capabilities.  Hours: 2:30 PM – 11:30 PM IST (working from Office) Reports to: Manager, Data Analytics California, USA