About the Role We are seeking an experienced Senior Odoo Developer to lead the design, customization, and deployment of Odoo ERP solutions, specifically tailored for the manufacturing sector. The ideal candidate should have a minimum of 8–9 years of hands-on experience in managing and executing full-cycle ERP implementations . This role demands a deep understanding of Odoo's architecture, proficiency in multiple module developments, and a strong grasp of manufacturing processes. Responsibilities Odoo ERP Development: Design, develop, and maintain custom Odoo modules across various business functions, including CRM, Sales, Inventory, Accounting, and Manufacturing. Conduct FIT/GAP analyses to align Odoo's out-of-the-box functionalities with business requirements. Propose and implement solutions to address business challenges using Odoo's capabilities . Manufacturing Domain Expertise: Customize and optimize Odoo's Manufacturing module, leveraging features like Bill of Materials (BoM), Work Centers, Routings, and Master Production Scheduling (MPS) to enhance production efficiency. Implement quality control measures, traceability, and maintenance management within the manufacturing workflows . Integration & Migration: Integrate Odoo with third-party applications using REST APIs, XML-RPC, JSON-RPC, and other protocols. Manage data migration tasks, ensuring data integrity during transitions from legacy systems to Odoo . Performance Optimization: Identify and resolve performance bottlenecks within the Odoo environment. Optimize code and database queries to ensure scalability and responsiveness. Collaboration & Leadership: Lead technical discussions and provide guidance to junior developers. Collaborate with cross-functional teams, including business analysts and project managers, to gather requirements and deliver solutions . Testing & Documentation: Develop and execute unit tests to ensure code quality. Maintain comprehensive technical documentation for developed modules and customizations. Qualifications Educational Background: Bachelor’s degree in Computer Science, Information Technology, or a related field . Technical Skills: Proficiency in Python, JavaScript, HTML, CSS, and PostgreSQL. Strong understanding of Odoo's ORM, API, and module development. Experience with version control systems like Git . Domain Expertise: Extensive experience in implementing and customizing Odoo solutions for the manufacturing industry. Familiarity with manufacturing processes, including production planning, inventory management, and quality control. Soft Skills: Excellent problem-solving abilities and attention to detail. Strong communication skills for interacting with both technical and non-technical stakeholders. Ability to mentor junior developers and lead technical teams. Preferred Qualifications Odoo certification(s) demonstrating proficiency in Odoo development. Experience with Agile development methodologies. Knowledge of additional ERP systems or manufacturing software . What We Offer Competitive salary and benefits package. Opportunity to work on challenging projects in the manufacturing domain. Collaborative and dynamic work environment. Continuous learning and professional development opportunities . Show more Show less
Job Title: Senior AI/ML Engineer – Python & Generative AI Experience Required: 7+ Years Location: Hyderabad Job Type: Full-Time About the Company : We are a fast-growing IT services company that partners with mid to large enterprises to deliver impactful, scalable digital transformation. We specialize in a wide range of enterprise technology services—from implementing and managing Oracle, Salesforce, and ServiceNow platforms to building integrated solutions using MuleSoft, Dell Boomi, and other modern tools. About the Role: We are looking for an experienced Senior AI/ML Engineer with a strong background in Python and Generative AI to lead the design, development, and deployment of AI-powered applications. This role is ideal for someone who thrives at the intersection of research and production, and can take machine learning models from concept to scalable, real-world systems. You will be responsible for building intelligent systems using state-of-the-art LLMs and generative models, integrating them into robust applications, and deploying them at scale. Key Responsibilities: Design and develop advanced AI/ML models with a focus on Generative AI (text, code, image, or multimodal) Architect and build end-to-end AI applications – from data pipelines to model serving and monitoring Fine-tune and deploy large language models (LLMs) or diffusion-based models using frameworks such as Hugging Face Transformers , LangChain , or custom tooling Implement scalable APIs and backend services to support AI features in production applications Collaborate with cross-functional teams including product managers, data engineers, and DevOps to deliver complete AI solutions Optimize model performance, latency, and resource usage for production environments Ensure best practices in code quality, testing, model explainability, and responsible AI use Stay current with developments in AI research, tooling, and industry trends Required Qualifications: 7+ years of hands-on experience in software engineering or AI/ML development Expert-level proficiency in Python , including ML libraries such as PyTorch , TensorFlow , NumPy , and Pandas Strong experience with Generative AI , including LLMs , transformers , prompt engineering , or diffusion models Proven ability to build, package, and deploy ML models into production using Docker , FastAPI , or similar frameworks Experience with cloud platforms (AWS, GCP, Azure) and model hosting/inference services Solid knowledge of MLOps, CI/CD pipelines, and monitoring tools for model lifecycle management Experience in building secure, performant APIs and scalable microservices Bachelor’s or Master’s degree in Computer Science, Machine Learning, or a related technical field Preferred Skills (Nice to Have): Familiarity with vector databases (e.g., FAISS, Pinecone, Weaviate) and RAG (Retrieval-Augmented Generation) architectures Experience with LangChain , LLM orchestration , or chatbot frameworks Exposure to real-world use cases in industries such as finance, healthcare, or e-commerce Contributions to open-source ML projects or research publications What We Offer: Competitive compensation and performance-based bonuses Work on cutting-edge AI/ML products with real-world impact Flexible work environment (remote/hybrid) and a collaborative team culture Continuous learning opportunities and support for attending AI/ML conferences or training. A chance to shape the future of AI-driven applications from the ground up.
Job Title: Data Engineer Location: New Delhi [Hybrid] Experience Required: Minimum 5+ Years Employment Type: Full-Time Job Overview: We are seeking an experienced Data Engineer who is passionate about building scalable data solutions and enabling data-driven decision-making. The ideal candidate will have strong expertise in SQL, Python, Apache Superset, Apache NiFi, and DW-BI concepts, along with hands-on experience in cloud platforms, preferably Google Cloud Platform (GCP). Key Responsibilities: Design, develop, and maintain robust data pipelines using Apache NiFi. Write and optimize complex SQL queries for extracting, transforming, and analyzing data. Build and manage interactive dashboards and visualizations using Apache Superset. Apply DW-BI concepts to model and structure data for reporting and analytics. Work with cloud-based data infrastructure, preferably GCP (BigQuery, Cloud Storage, Dataflow, etc.). Collaborate with cross-functional teams to understand business requirements and deliver data solutions. Ensure data quality, consistency, and security across all data processes. Monitor and troubleshoot data workflows and performance issues. Required Skillset: Strong proficiency in SQL & Python. Hands-on experience with Apache Superset for data visualization. Practical knowledge of Apache NiFi for data flow management. Solid understanding of Data Warehousing & Business Intelligence (DW-BI) concepts. Experience working with cloud platforms; GCP preferred. Preferred Qualifications: Experience with other BI tools (e.g., Tableau, Power BI) is a plus. Familiarity with CI/CD practices and version control systems (e.g., Git). Bachelor's or Master’s degree in Computer Science, Data Engineering, or related field.
Experience Required: 4–5 Years Employment Type: Full-Time Department: Artificial Intelligence / Machine Learning Reports To: CTO About the Role: We are seeking a highly skilled and motivated AI Engineer with 4–5 years of hands-on experience in designing, developing, and deploying AI solutions. The ideal candidate will have a strong foundation in machine learning, deep learning, and generative AI, with proven experience in building scalable models and systems that solve real-world problems. Key Responsibilities: · Design and implement AI/ML models for tasks such as classification, prediction, and generation. · Develop and fine-tune LLMs and Generative AI models for domain-specific applications. · Work on OCR, PDF extraction, and Computer Vision projects using deep learning frameworks. · Collaborate with cross-functional teams to integrate AI solutions into products and services. · Optimize model performance and ensure scalability in production environments. · Stay updated with the latest research and trends in AI and ML. Required Skills & Qualifications: · Bachelor's or Master’s degree in Computer Science, AI, Data Science, or related field. · 4–5 years of experience in AI/ML development. · Proficiency in Python and libraries such as NumPy, Pandas, Scikit-learn. · Hands-on experience with TensorFlow and/or PyTorch. · Experience with LLMs, Generative AI, and Transformer-based architectures. · Strong understanding of OCR, PDF parsing, and Computer Vision techniques. · Familiarity with cloud platforms (AWS, GCP, Azure) and MLOps tools. · Excellent problem-solving and communication skills. Preferred Qualifications: · Experience with Hugging Face Transformers, LangChain, or similar frameworks. · Knowledge of data annotation tools and pipelines. · Contributions to open-source AI/ML projects or published research. What We Offer: · Competitive salary and benefits. · Opportunity to work on cutting-edge AI technologies. · Collaborative and inclusive work environment. · Career growth and learning opportunities.
About the Role: We are seeking a highly skilled and experienced Machine Learning Engineer Architect to lead the design and implementation of cutting-edge ML solutions across our organization. You will be responsible for driving the end-to-end architecture of ML systems, from data ingestion and model development to deployment and monitoring. This is a leadership role that requires strong technical expertise, strategic thinking, and the ability to collaborate across teams. Responsibilities Design and lead the architecture of scalable and reliable ML systems and pipelines. Collaborate with data engineers to implement ML models in production environments. Evaluate and select appropriate ML tools, frameworks, and technologies to meet business requirements. Oversee the full ML lifecycle including data preparation, model development, training, validation, deployment, and monitoring. Ensure adherence to MLOps best practices and governance (CI/CD for ML, versioning, reproducibility). Define and implement architecture standards, patterns, and frameworks for machine learning systems. Lead performance tuning, scalability, and optimization efforts. Stay up to date with the latest advancements in AI/ML technologies and propose innovative solutions. Collaborate with stakeholders to translate business needs into ML solutions. Required Skills & Qualifications: Bachelor's or Master’s degree in Computer Science, Data Science, AI/ML, or related field. 10+ years of professional experience with at least 5 years in machine learning and data science. Strong programming skills in Python , with experience in ML libraries like TensorFlow, PyTorch, Scikit-learn, XGBoost , etc. Deep understanding of ML architecture patterns , data pipelines , and distributed systems . Experience with cloud platforms like AWS, Azure, or GCP and cloud-native ML tools (SageMaker, Vertex AI, Azure ML). Proficiency in Docker , Kubernetes , and other containerization/orchestration tools. Strong grasp of MLOps , model monitoring , and continuous integration/deployment pipelines. Hands-on experience with big data technologies like Spark, Hadoop, Hive , or similar. Excellent communication, leadership, and problem-solving skills. Preferred Qualifications: Experience with deep learning , NLP , computer vision , or reinforcement learning . Familiarity with data privacy , AI ethics , and governance frameworks. Contributions to open-source ML projects or research publications.