Job Title: Software Developer Company: Inriser Consulting Job Category: Machine Learning Roles & Responsibilities: The source did not clearly identify a separate responsibilities section. Refer to the original job posting. Work Location: Noida(Sector 62), India Availability: Full time

Job Title: Senior Machine Learning Engineer Company: ThoughtSol Infotech Ltd. Job Category: Machine Learning Roles & Responsibilities: Key Responsibilities: • Model Development & Algorithm Optimization: Design, implement, and optimize Meghalaya • Production Deployment: Develop and deploy machine learning models to production lifecycle, including data ingestion, model training, deployment, and monitoring, ensuring • Performance Optimization: Monitor and improve inference speed and latency to meet real integrate Meghalaya models into production workflows, building and maintaining continuous • Monitoring & Optimization: Continuously monitor the performance of deployed models, similar roles. Work Location: Noida, Uttar Pradesh, India Availability: Full time

Job Title: AI/ML Engineer Company: EcoRatings Job Category: Machine Learning Roles & Responsibilities: Responsibilities: * Develop, implement, and deploy software applications, datasets, and deep learning models. * Fine-tune large language models for specific tasks. * Collaborate closely with team members on integrating Generative AI solutions. * Ensure application performance, quality, and responsiveness. * Identify and resolve technical issues and bugs. * Maintain code quality, organization, and automation. Work Location: Noida, Uttar Pradesh, India Availability: Full time

Job Title: Engineer - AI (Mining Automation) Company: WSP in India Job Category: Machine Learning Roles & Responsibilities: Job Description WSP is seeking an Engineer AI (Mining Automation) to join the GCC Specialist Mining Services team, supporting the delivery of digital and automation solutions for global mining projects. Reporting to the Mining Automation Team Leader, the successful candidate will develop and implement AI-enabled workflows that improve the way mining, asset, operational, geotechnical, and technical information is processed, connected, analysed, and used for engineering decision-making. The role combines mining-domain understanding with artificial intelligence, automation, data engineering, computer vision, knowledge extraction, and graph-based retrieval. The Engineer will collaborate with multidisciplinary teams across WSP to develop practical, scalable, traceable, and responsible solutions for mine planning, operations, tailings and water management, asset performance, risk management, and engineering delivery. Responsibilities AI and Mining Automation Development * Design, develop, and implement AI-enabled automation solutions for mining engineering and operational workflows. * Work with mining specialists to identify high-value automation opportunities and convert technical requirements into practical digital solutions. * Develop intelligent workflows that integrate geological, geotechnical, mine planning, operational, asset, * Support the use of generative AI, machine learning, computer vision, and agent-based approaches to improve engineering productivity and decision support. * Create reusable components and scalable solution patterns that can be applied across global mining projects. * Develop automated pipelines to extract information from mining reports, PDFs, scanned documents, drawings, tables, figures, inspection records, and monitoring outputs. * Apply OCR, layout understanding, multimodal models, and LLM-based techniques to identify entities, attributes, relationships, measurements, risks, and supporting evidence. * Implement validation, normalization, exception-handling, and quality-control logic to improve the accuracy and consistency of extracted information. * Maintain traceability between extracted outputs and the relevant source documents, pages, figures, tables, or evidence. * Develop, validate, and support deployment of machine learning solutions for predictive analytics, anomaly detection, classification, risk assessment, optimization, and asset insights. * Apply data science and statistical methods to identify patterns, trends, and actionable insights from engineering and operational data. * Evaluate model performance, limitations, and suitability for mining use cases, working with domain experts to confirm engineering relevance. * Contribute to proof-of-concept development and the transition of successful prototypes into maintainable production solutions. Knowledge Management and Graph-Based Intelligence * Support the design of structured knowledge models that connect mining assets, technical information, operational data, risks, controls, and engineering evidence. * Contribute to knowledge graph and semantic data solutions using RDF, OWL, SPARQL, or equivalent technologies where appropriate. * Develop graph-native and hybrid retrieval workflows, including GraphRAG approaches that combine structured graph context with AI models. * Enable natural-language access to connected mining knowledge for engineering assistants, analytics tools, and decision-support applications. * Support provenance, versioning, evidence linking, and auditability of AI-generated or graph-derived outputs. * Develop and integrate solutions using Azure AI services, Azure OpenAI, Azure Machine Learning, Azure AI * Build and maintain data pipelines, APIs, connectors, and services that integrate AI workflows with engineering platforms and enterprise data environments. * Contribute to deployment, monitoring, documentation, testing, and continuous improvement of production AI applications. * Support MLOps, prompt and model evaluation, access control, data security, and responsible AI practices. * Work as part of the GCC Specialist Mining Services team to support multidisciplinary mining assignments delivered across WSP's global business. * Collaborate with the Mining Automation Team Leader, mining engineers, geotechnical specialists, tailings practitioners, data scientists, software developers, and digital teams. development within the team. About Us WSP is one of the world's leading professional services consulting firms. We are dedicated to our local communities and propelled by international brainpower. We are technical experts and strategic advisors including engineers, technicians, scientists, architects, planners, surveyors and environmental specialists, as well as other design, program and construction management professionals. We design lasting solutions in the Transportation & Infrastructure, Property & Buildings, Earth & Environment, Power & Energy, Resources and Industry sectors, as well as offering strategic advisory services. Our talented people around the globe engineer projects that will help societies grow for lifetimes to come. * Maximize collaboration. * Maintain product quality and cultural integrity. * Balance community, collaboration, opportunity, productivity, and efficiency. Apply today. NOTICE TO THIRD PARTY AGENCIES: WSP does not accept unsolicited resumes from recruiters, employment agencies, or other staffing services. Unsolicited resumes include any resume or hiring document sent to WSP in the absence of a signed Service Agreement where WSP has expressly requested recruitment/staffing services specific to the position at hand. Any unsolicited resumes, including those submitted to hiring managers or other business leaders, will become the property of WSP and WSP will have the right to hire that candidate without reservation – no fee or other compensation will be owed or paid to the recruiter, employment agency, or other staffing service. Work Location: Noida, Uttar Pradesh, India Availability: Full time

Location-Hyd/Noida/Gurgaon. Exp-8+ years. Work experience as a Python Developer. Expertise in at least one popular Python framework (like Django, Flask or Pyramid). Knowledge of object-relational mapping (ORM). Familiarity with front-end technologies (like JavaScript and HTML5). Extensive working exp in AWS. Exposure & Working experience in AI tools. Disclaimer: This job posting has been aggregated from external source. Role details, content, and availability are subject to change. Applicants are advised to confirm the latest information directly on the company website before applying.

Job Summary. BOL7 Pvt Ltd is hiring a Python Developer to build and maintain the backend services and APIs that power our products, from our Sector 16, Noida office. You will design clean, well-tested code, work with databases and third-party integrations, and collaborate with the frontend and DevOps teams to ship features end to end. Candidates with experience in Django or FastAPI will be preferred. Responsibilities. Design, build, and maintain backend services and REST APIs in Python. Write clean, reusable, and well-tested code following team standards. Design database schemas and write efficient queries. Integrate third-party APIs, payment gateways, and messaging services. Optimise application performance, reliability, and scalability. Debug and resolve production issues reported by the team or customers. Participate in code reviews and technical discussions. Document APIs and technical decisions for the wider team. Qualifications. B.Tech / BCA / MCA in Computer Science or a related field, or equivalent practical experience. Strong fundamentals in data structures, algorithms, and OOP. A portfolio, GitHub profile, or live projects will be an added advantage.

Cloud Maven is hiring a Senior Salesforce Developer in Noida to design, develop, and maintain scalable Salesforce applications supporting a growing B2B SaaS product line. You will build reusable enterprise components using Apex, Lightning Web Components, Visualforce, and Flows, contributing to a shared library that accelerates delivery across multiple client engagements. Beyond core Salesforce development, the role expects working knowledge of broader backend technologies including Java, Python, Node.js, and SQL, along with REST API design and cloud platforms such as AWS and GCP. This breadth reflects Cloud Maven's approach of pairing deep Salesforce expertise with general software engineering skills to deliver more flexible, integration-ready enterprise solutions for B2B SaaS clients.

Develop advanced machine learning models and algorithms to solve business challenges. Analyze large datasets, create visualizations, maintain data systems and collaborate with cross-functional teams. Stay updated with emerging technologies and implement innovative AI solutions.

Design, develop and deploy machine learning models and large-scale data pipelines. Perform feature engineering, model evaluation and ETL development. Manage ML lifecycle using MLflow and Airflow while deploying scalable AI solutions through Docker, Kubernetes and cloud platforms.

Build and deploy machine learning models to solve business problems and improve operational efficiency. Perform data extraction, cleansing, transformation and feature engineering using Python and SQL. Conduct predictive modeling and statistical analysis on structured and unstructured datasets. Develop AI/ML solutions using TensorFlow, PyTorch and Scikit-learn. Implement NLP and Generative AI solutions leveraging LLMs and prompt engineering. Manage end-to-end ML lifecycle including deployment, monitoring and maintenance using cloud and MLOps tools.