Job Summary A highly skilled Microsoft Dynamics 365 Customer Engagement Solutions Architect to join our team. This role is pivotal in designing, implementing, and optimizing Dynamics 365 Customer Engagement solutions to meet our clients business needs. You will work closely with stakeholders to ensure the successful deployment and adoption of these solutions. The ideal candidate will have a deep understanding of Dynamics 365 Customer Engagement (CE) modules, Power Platform including Power Pages, and a proven track record of successful project delivery. Key Responsibilities Solution Design : Lead the design and architecture of comprehensive solutions that align with business objectives leveraging Microsoft Dynamics 365 CE, including Sales, Marketing, Customer Service, and Field Service. Ensure solutions are scalable, secure, and aligned with best practices. Conduct fit-gap analysis and propose solutions to address business needs. Implementation Leadership : Oversee the implementation process and customization of Dynamics 365 Customer Engagement applications, ensuring solutions are delivered on time, within scope, and meet quality standards. Provide technical leadership and guidance to development teams. Technical Expertise Serve as a subject matter expert (SME) for both technical and functional aspects of Dynamics 365 CE, driving the adoption of new features and technologies. Client Engagement : Collaborate with clients to understand their business requirements and translate them into effective Dynamics 365 solutions. Team Collaboration : Work closely with onshore and offshore development teams, providing guidance and mentorship to junior staff. Continuous Improvement : Identify opportunities for process improvements and contribute to the development of best practices within the team. Stay updated with the latest features and updates in Dynamics 365 and related technologies. Provide training and support to end-users and : Minimum of 10+ years of experience in Dynamics 365 CE solutions architecture and implementation. Technical Skills Strong knowledge of Dynamics 365 CE architecture and modules, Power Platform (Power Pages, Power Apps, Power Automate, Power BI), and integration with other Microsoft services. Experience with data migration, integration, and customization. Soft Skills Excellent communication, problem-solving, and project management skills. Experience with data migration, integration, and customization. Ability to work independently and as part of a team. Education Bachelor & masters degree in Computer Science, Information Technology, or a related field. Preferred Skills Experience with Microsoft Power Platform. Knowledge of Azure services and integrations. Familiarity with Agile methodologies. Experience with CI/CD processes and tools. Preferred Certifications Microsoft Certified : Dynamics 365 Fundamentals (CRM) Microsoft Certified : Power Platform Solution Architect Expert Additional certifications in related technologies are a plus. (ref:hirist.tech) Show more Show less
Description About the Role We are looking for an experienced Odoo Lead Developer to own the end-to-end design, development, and delivery of Odoo-based solutions. This role is both hands-on technical and client-facing, so we need someone who can lead a team, talk confidently with stakeholders, and deliver high-quality, scalable solutions. This is a 100% office-based role from our Ahmedabad location. Key Responsibilities Lead the design, development, customization, and deployment of Odoo modules (Sales, Purchase, Inventory, Accounting, HR, Manufacturing, etc.). Gather and analyse business requirements and translate them into robust Odoo solutions. Architect technical solutions including integrations with third-party systems (REST APIs, web services, payment gateways, etc.). Review and optimize existing code; ensure performance, security, and scalability of Odoo implementations. Guide and mentor a small team of Odoo developers, conduct code reviews, and enforce best practices. Collaborate closely with functional consultants, QA, and project managers to ensure on-time, high-quality delivery. Lead client meetings, demos, and technical workshops with international customers. Prepare and maintain technical documentation, deployment guides, and release notes. Troubleshoot production issues and provide L3 support when required. Mandatory Skills & Experience 10+ years of total experience with at least 5+ years in Odoo development. Strong expertise in: Odoo framework (v12+ preferred, newer versions a plus) Python and OOP concepts PostgreSQL (database design, queries, optimization) Odoo ORM, QWeb, XML, and report customization Experience in configuring, customizing, and extending core Odoo modules. Hands-on experience integrating Odoo with external systems via APIs. Proven experience in a lead or senior developer role, managing small teams or acting as a technical owner. Communication & Soft Skills (Very Important) Excellent verbal and written English must be able to: Lead client calls independently Explain technical concepts in simple business language Write clear emails, documents, and presentations Strong stakeholder management and client-facing experience. Proactive, ownership mindset with the ability to work independently and guide others. Strong problem-solving skills, structured thinking, and attention to detail. Work Mode & Shift Work Mode: 100% office-based (no hybrid/remote) Location: Ahmedabad office (candidates must be willing to work onsite full-time) Timing: Regular office hours (MonFri), with flexibility for occasional client calls in different time Bachelors or Masters degree in Computer Science, IT, Engineering or a related field (or equivalent experience). Nice To Have Experience with DevOps practices (Git, CI/CD, Docker, etc.). Exposure to enterprise implementations of Odoo with multiple companies and large datasets. Odoo certification or contribution to the Odoo community. (ref:hirist.tech)
Job Description : Machine Learning Engineer - LLM and Agentic AI Key Responsibilities Research and Development: Research, design, and fine-tune machine learning models, with a focus on Large Language Models (LLMs) and Agentic AI systems. Model Optimization: Fine-tune and optimize pre-trained LLMs for domain-specific use cases, ensuring scalability and performance. Integration: Collaborate with software engineers and product teams to integrate AI models into customer-facing applications and platforms. Data Engineering: Perform data preprocessing, pipeline creation, feature engineering, and exploratory data analysis (EDA) to prepare datasets for training and evaluation. Production Deployment: Design and implement robust model deployment pipelines, including monitoring and managing model performance in production. Experimentation: Prototype innovative solutions leveraging cutting-edge techniques like reinforcement learning, few-shot learning, and generative AI. Technical Mentorship: Mentor junior team members on best practices in machine learning and software engineering. Requirements Core Technical Skills : Proficiency in Python for machine learning and data science tasks. Expertise in ML frameworks and libraries like PyTorch, TensorFlow, Hugging Face, Scikit-learn, or similar. Solid understanding of Large Language Models (LLMs) such as GPT, T5, BERT, or Bloom, including fine-tuning techniques. Experience working on NLP tasks such as text classification, entity recognition, summarization, or question answering. Knowledge of deep learning architectures, such as transformers, RNNs, and CNNs. Strong skills in data manipulation using tools like Pandas, NumPy, and SQL. Familiarity with cloud services like AWS, GCP, or Azure, and experience deploying ML models using tools like Docker, Kubernetes, or serverless functions. Additional Skills (Good To Have) Exposure to Agentic AI (e.g., autonomous agents, decision-making systems) and practical implementation. Understanding of MLOps tools (e.g., MLflow, Kubeflow) to streamline workflows and ensure production reliability. Experience with generative AI models (GANs, VAEs) and reinforcement learning techniques. Hands-on experience in prompt engineering and few-shot/fine-tuned approaches for LLMs. Familiarity with vector databases like Pinecone, Weaviate, or FAISS for efficient model retrieval. Version control (Git) and familiarity with collaborative development practices. General Skills Strong analytical and mathematical background, including proficiency in linear algebra, statistics, and probability. Solid understanding of algorithms and data structures to solve complex ML problems. Ability to handle and process large datasets using distributed frameworks like Apache Spark or Dask (optional but useful). Soft Skills Excellent problem-solving and critical-thinking abilities. Strong communication and collaboration skills to work with cross-functional teams. Self-motivated, with a continuous learning mindset to keep up with emerging technologies. (ref:hirist.tech)