LOCATION: MANOR- NEAR PALGHAR, MAHARASHTRAResponsibility of production plant (oil mill / solvent extraction / refinery equipment’s, fabrication,) withtotal accountability for timely production schedule, effective utilization of resources, safety, and securityfor the smooth functioning of the Plant. Planning day to day production on shop floor as per schedule,decision-making and problem-solving to ensure targeted output as per business plan. Main Duties and Responsibilities:  Develop manufacturing standard performance metric targets and goals through goal settingexercise for the plant. Establish manufacturing cost /fabrication cost, quantity, quality targets forthe Plant as per Business Plan. Plan, deploy and monitor overall production functions as per the systems and procedures, ensuremeeting production targets as per Rolling Plan month on month Monitor the production plan ondaily, weekly, monthly & quarterly basis to ensure that production targets are met & takecorrective action for delays. Define annual goals and performance improvement objectives for maintenance, approve activitiestiming and plan shutdown timing for production. Review and approve the preventive/ predictivemaintenance and updates. Optimum capacity utilization of the plant by planning for all resources (Raw Material, Manpower,Machinery, Electricity, etc.) to ensure minimum wastage & on time delivery. Monitor team efficiency & take corrective action. Ensure efficient use of resources to meetproduction targets and be competitive in terms of quality and efficiencies. Manage and Review Production Costs as planned. Review reports on OT and Productivity analysis,Consumables, tools & other factory cost, Capacity & Manpower Utilization. Study, analyse & share any new R & D/ Techniques available in production & discuss its viabilitywith the Management. Check adequacy of all Design inputs of fabricated equipment and oil mills and Job planning as perthe project requirement and distribution of works to Team Members and Ensuring Designcalculation as per the project specification/national & international code of practices (ASME). Monitor quality standards as per QAP/ ISO requirement. Ensure proper planning and execution for order completion. Participate in planning meeting andprovide inputs on budget for production and understand the customer’s requirement from theClient Managers to complete the planned orders. Responsible to check feasibility of the new products developed for release to set up of productionprocess of the new product. Create, revise/update and maintain department SOPs & ensure its implementation & adherence. Responsible for safety of goods and production on the production floor and optimum utilisationfor material to be issued to continues flow of material. Ensure adherence of all factory & production compliance. Ensure regular maintenance of tools,machinery, factory (all things related to the factory). Identifying manufacturing capabilities outside to augment inhouse capability to meet higherproduction targets in a flexible and low-cost manner Maintain engagement level of the production teams and motivate them and drive performanceculture. Work Experience and Skills: 15+ years of professional experience in sheet metal, fabrication, heavy machinery, and equipmentmanufacturing industries with at least 5 years exposure in managing fabrication and machine shop in asenior management level. A young dynamic personality around 45 years of age may be a right fit to headthis role. High on team spirit, good people management skills and ability to push for results Must be result-focused, with hands on “doer” attitude Well experienced in various facets of project management processes Well exposed to management of contract labour, job work and outsourcing model inmanufacturing Implementation knowledge of systems & tools like ISO, QMS, ASME etc Educational Qualification: BE in Mechanical / Production / Oil Tech Additional qualification in Business Management and/or Operations Management

LOCATION- MUMBAI/ NAVI MUMBAI We are seeking a highly skilled and delivery-focused Lead Data Engineer to design and build enterprise-grade data platforms and applications under the Durables model. This role will be responsible for leading end-to-end new implementation and development initiatives, building scalable data pipelines, and architecting cloud-native solutions on AWS. The ideal candidate will act as a key technical leader for new builds, working closely with client stakeholders to translate business requirements into robust data engineering solutions. This is a hands-on leadership role requiring strong design capabilities, cloud expertise, and experience in delivering large-scale data engineering projects in Agile environments. Key Responsibilities Solution Design & Implementation Lead end-to-end design and development of scalable, high-performance data engineering solutions. Architect and implement new data pipelines, data models, and cloud-native data platforms. Design modular, reusable, and future-ready data frameworks for enterprise use cases. Work closely with stakeholders to understand requirements and convert them into technical designs. Technical Leadership Provide architectural direction for new data platform development and modernization initiatives. Define best practices for ETL/ELT design, data modeling, and cloud-native data processing. Build and optimize data pipelines using AWS services (Glue, Lambda, Redshift, S3, EMR, Athena, etc.). Leverage PySpark, SQL, Python, and distributed processing frameworks for large-scale data processing. Drive engineering excellence through code quality, performance tuning, and scalable design patterns. Agile Delivery & Execution Lead sprint planning, estimation, and delivery of development milestones in Agile environments. Ensure timely delivery of high-quality data engineering components and features. Collaborate with cross-functional teams including product, analytics, and infrastructure teams. Client Engagement & Solutioning Act as a technical advisor for clients during solution design and implementation phases. Present architecture approaches, design decisions, and trade-offs to stakeholders. Proactively recommend innovative solutions to improve scalability, performance, and business value. Team Leadership & Mentoring Lead and mentor a team of data engineers, ensuring strong technical growth and delivery discipline. Drive task allocation, design reviews, and technical guidance across the team. Build a strong engineering culture focused on ownership and continuous improvement. Process, Quality & Governance Establish CI/CD pipelines, version control practices, and automated testing frameworks. Ensure adherence to coding standards, documentation practices, and design governance. Identify risks and dependencies early and implement mitigation strategies. Required Skills & Qualifications 6+ years of experience in Data Engineering / Data Platform Development / Application Development. Strong hands-on expertise in AWS cloud services (Glue, Lambda, Redshift, S3, Athena, EMR, CloudWatch). Proficiency in PySpark, SQL, and Python for large-scale data processing. Strong experience in designing and building end-to-end data pipelines and data platforms. Deep understanding of distributed data processing and performance optimization. Proven experience leading engineering teams (3+ years), ideally in development or implementation projects. Strong client-facing and communication skills. Experience with Agile delivery methodologies. Familiarity with tools like JIRA, Confluence, Git, Jenkins, or CI/CD pipelines. Good to Have Experience in greenfield data platform development or AWS migration projects. Exposure to legacy-to-cloud transformation programs. Strong understanding of data modeling concepts and Hive/partitioning strategies. Experience building real-time or near real-time data pipelines.

We are looking for an AI Engineer / MLOps Engineer to join a successful and growing IT company delivering advanced data, AI, and digital transformation solutions for enterprise clients. This role offers the opportunity to work on end-to-end machine learning projects, from model development and deployment to monitoring and governance, using modern AI and MLOps platforms. Key Responsibilities Develop, train, validate, and optimize machine learning models Prepare, analyze, and transform data for AI/ML use cases Participate in deploying models to testing, staging, and production environments Monitor model performance, prediction quality, and operational stability Contribute to defining processes for model versioning, retraining, and controlled change management Work with IBM Cloud Pak for Data and/or similar ML and AI platforms Document models, experiments, results, and operational procedures Collaborate closely with Data Engineering, Analytics, IT, and business stakeholders Requirements Minimum 3 years of experience in AI/ML engineering, Data Science, MLOps, or related roles Hands-on experience developing, training, and evaluating machine learning models Strong Python programming skills Experience with libraries such as scikit-learn, pandas, NumPy, or similar tools Good understanding of the ML lifecycle, including data preparation, training, validation, deployment, and monitoring Understanding of MLOps principles and practical implementation Experience working with structured data and databases Knowledge of model evaluation metrics and result interpretation Strong communication skills and ability to collaborate with both technical and business teams Bachelor's or Master's degree in Computer Science, Mathematics, Engineering, or a related field Nice to Have Experience with IBM Cloud Pak for Data Experience with tools such as Watson Studio, Watson Machine Learning, Watson Pipelines, Watson OpenScale, or similar platforms Experience with other ML/MLOps platforms such as Azure Machine Learning, AWS SageMaker, Databricks, MLflow, or equivalent solutions Experience automating ML workflows, deploying models, and managing production ML environments Experience with model monitoring, drift detection, bias/fairness analysis, and model governance SQL knowledge and experience with relational databases Experience with TensorFlow, PyTorch, or other advanced ML/DL frameworks Experience in industries such as financial services, energy, telecommunications, public sector, or similar enterprise environments Understanding of Data Governance and Data Catalog concepts Experience working in cloud or hybrid-cloud environments Interest in Generative AI, Large Language Models (LLMs), and AI-driven innovation What We Offer Opportunity to work on impactful AI, ML, and MLOps projects for large-scale enterprise environments Exposure to leading AI and data platforms, including IBM's data and AI ecosystem Participation in building and deploying solutions that support real business processes and decision-making Collaboration with experienced Data Engineering, Analytics, AI, and Business teams Professional growth in production-grade machine learning, MLOps, AI platforms, and model governance Continuous learning and development opportunities in emerging AI technologies Competitive compensation package aligned with your experience and seniority Flexible and collaborative work environment focused on innovation and knowledge sharing If you are passionate about building reliable, scalable, and business-driven AI solutions, we'd love to hear from you.

Recruitment Specialist Our client is looking for a top-performing recruitment professional who thrives in an autonomous environment and wants to play a strategic role across the entire HR agenda. You will take ownership of attracting, hiring, and maintaining the blue-collar workforce, ensuring business continuity in a competitive market as a standalone HR expert. Responsibilities: Manage the full recruitment lifecycle for blue-collar positions. Develop and execute effective sourcing strategies using multiple recruitment channels. Build and maintain a strong pipeline of candidates. Establish and maintain relationships with institutions, recruitment partners, and labour agencies. Conduct interviews and coordinate the selection process with hiring managers. Strengthen the employer brand and support local recruitment marketing activities. Support onboarding and employee integration processes. Coordinate employee documentation and cooperate with payroll and external HR service providers. Maintain HR records and prepare regular HR reports and statistics. Ensure HR processes comply with company policies and applicable labour legislation. Monitor workforce demand and staffing levels. Work closely with production managers to anticipate hiring needs. Develop proactive solutions to minimize labour shortages and turnover. Analyse recruitment metrics and recommend improvements. Requirements: Relevant degree Several years of experience in recruitment, preferably within manufacturing, logistics, or industrial environments. Proven success in blue-collar recruitment. Broad understanding of HR processes and employment practices. Ability to work independently and manage multiple priorities. Strong communication and stakeholder management skills. A proactive, solution-oriented, and business-focused mindset. What our client offers: A highly autonomous and impactful role. The opportunity to shape and develop HR processes. Direct cooperation with business leaders and decision-makers. A dynamic and supportive working environment. Competitive compensation package. Professional growth and long-term career opportunities. Location: Budapest, (Pest side)

Our client is A global healthcare technology leader. We are looking for an experienced EP Specialist for their Budapest team to provide expert clinical and technical support for advanced electrophysiology mapping and ablation systems. In this role, you will partner closely with physicians, laboratory staff, and internal teams to support procedures, introduce new technologies, and help shape advanced clinical workflows. Responsibilities: Provide clinical and technical assistance to physicians and laboratory staff on the use of the mapping and ablation system, including generators, software, pumps, and accessories Conduct training sessions to introduce new technologies to hospital stakeholders and ensure acceptance Participate in the development of advanced clinical workflows Collaborate with the education team to support the development of training centers Share best clinical practices with colleagues to optimize the customer experience Work with service engineers on technical troubleshooting and provide feedback to marketing on system use and new product development Build strong professional relationships with customers and manage high-stress situations with a problem-solving mindset. Requirements: Engineer’s degree in electrical or medical engineering or a related scientific discipline Over 5 years of clinical electrophysiology experience Experience in the medical device or life sciences industry Fluency in English and Hungarian, with the ability to work effectively in cross-functional teams Independent, responsible, and decisive, with flexibility and willingness to travel as required Ability to work in electrophysiology labs and achieve vendor credentialing.

Our client is an international specialist in the installation of industrial synthetic resin based flooring systems. The company operates across Europe, with projects mainly in Romania, Belgium, Luxembourg, France, the Netherlands, Germany, Spain, and Hungary employing more than 50 dedicated professionals. They are ranked in the top 3 resin flooring contractors in Romania and one of the leading applicators in the Benelux region. We are looking for an experienced Sales Engineer to develop their business in Hungary (mainly North-West region). The role focuses on identifying new opportunities, building long‑term relationships with industrial clients and introducing solutions to the market. The successful candidate will combine strong business development capabilities with technical understanding and consultative selling skills. Main task: Develop new business opportunities for industrial resin flooring systems Identify, contact and visit potential and existing clients Understand technical requirements and propose suitable flooring solutions Prepare and present technical and commercial offers Negotiate and close contracts in line with company policies and strategy Plan and execute weekly sales activities Achieve agreed sales targets and growth objectives Share market intelligence and competitor information with the management Collaborate closely with technical, project management and operations teams Requirements: 3+ years of experience in consultative sales of technical products (Construction materials, Industrial equipment or similar) Preferred experience in construction materials, industrial flooring, building solutions or industrial equipment Technical university degree (engineering background preferred) Strong negotiation and relationship‑building skills Analytical thinking and problem‑solving abilities Ability to work independently Positive mindset and strong professional ethics Availability to travel within Hungary up to 4 days per week Good PC skills (Windows, MS Office) Valid Category B driving license English language Location: Gödöllő (hybrid)

Our client is a well-regarded international business which produces safe, affordable and sustainable plastic packaging solutions. Their local manufacturing site will be managerd by a bew Plant Manager who will have overall responsibility for the production and the sales team, which includes budgeting, capacity, investment and KPI planning. He/she should identify and make initiatives to HQ to develop the business in Hungary and in the region by managing a sales team. Main Tasks Responsible for providing overall strategic leadership for the whole organization including the daily overall management of local production and sales; Drive operational excellence towards all operational functions in the plants within his area; Monitor effective use of investments including continuous budget monitoring, performance analysis, and expenditure tracking; Ensures professional customer relationship management/support and continuous optimization of the entire supply chain; Pursue a proactive partnership approach to working with existing and new clients monitoring the objectives geared to targeted increases in sales; Active implementation and performance in compliance with quality, safety and environmental standards; Ensure all employees understand and follow company policies and procedures; Responsible to act according to legal requirements as well as implement all requests from external audits and certifications. Requirements: Relevant degree (commercial/technical education on university level or similar); Management/leadership experience in the field of an international manufacturing company; Operational and business development experience; Plastic technology (injection molding) experience is a plus; Excellent communication and organizational skills; Strong interpersonal skills and leadership competence including change management experience; Problem solving skills and high grade of flexibility and stress resistance; Fluent English; Dedication to operational excellence as well as the ability to work independently with tight deadlines. Location: Győr-Moson-Sopron

The Software Test Engineer will focus on rigorous testing of embedded software for automotive RF and infotainment systems, ensuring quality through structured planning, execution, and automation. This role supports high-performance RF antenna systems by embedding testing into the V-model lifecycle, complementing developers in infotainment projects—emphasizing automation and defect prevention over pure coding, with C# enabling efficient tooling for automotive-grade reliability. Key Responsibilities Create detailed test concepts and specifications derived from software/system requirements, covering unit-level verification and integration testing across modules like tuners or antenna ECUs. Daily tasks include developing and running software unit tests (e.g., for C/C++ firmware components) and integration tests (e.g., validating RF signal processing with communication stacks), alongside defect analysis to root-cause issues in real-time embedded environments. Test automation will streamline repetitive checks using C# for scripting frameworks, tools like xUnit/NUnit, or custom harnesses, while manual analysis ensures coverage of edge cases in ASPICE-compliant processes. Requirements: Experience in test automation Defect analysis Good knowledge of the C# programming language Good English skills, both written and spoken

Senior Sotfware Developer The senior SW developer would work on embedded software for automotive RF and infotainment systems, such as tuners and broadcast receivers integrated into high-performance antenna modules for vehicle OEMs. The job holder will be part of an international SW team managed from Germany. The key focus of the team is to develop a complete AUTOSAR system, including HSM, FBL, and MSR. Key Responsibilities: Developing firmware for microcontroller or SoC-based ECUs in automotive environments, focusing on RF signal processing, diagnostics, and communication stacks like Ethernet. Specific tasks may include implementing tuner functionality (e.g., AM/FM/DAB handling, frequency switching, noise filtering), optimizing for real-time performance and memory constraints using C/C++, and ensuring compliance with ASPICE SWE processes (requirements traceability, testing, reviews). The international team who would this person work with also designs software architecture with tools like Enterprise Architect (UML diagrams, interfaces), lead small teams through code reviews and mentoring, and support OEM projects with debugging, integration, and field deployments. Requirements: Several years of experience in automotive embedded software development Proven leadership experience Advantageous: experience in infotainment, especially tuner and broadcast systems Strong knowledge of the C and C++ programming languages Familiar with ASPICE SWE process requirements Software architecture experience, e.g., using Enterprise Architect Good English skills, both written and spoken

Product Manager (Tuner/ Smart Devices) Our client is a Tier1 German automotive supplier. The job holder would act as the owner and coordinator for a set of car-related tech products, especially tuners and smart devices in an international team. His/her job is to make sure the products fit market needs, stay competitive, and keep evolving over time. The job holder connects customer needs, technology, and business goals. Major tasks: Identifying new business opportunities, including profitability and risk analysis Analyzing market requirements and subsequently developing new technical concepts, which are prototyped within the pre-development phase Preparation of technical documents and training materials for the product range Decide where the product line should go next by building and updating the technology roadmap. Track market trends, competitors, customers, suppliers, and new technologies to find opportunities and risks. Work with engineering, marketing, sales, and management to turn market needs into product concepts and prototypes. Support new business development and customer acquisition by helping pitch the products and explain their value. Analyze costs and business potential of existing and future products. Prepare technical documents, presentations, and training materials. Take part in industry or standards groups such as 5GAA to stay aligned with broader technology developments. RequirementsRelevant degree in Industrial Engineering or Electrical Engineering, Telecommunications Engineering, Computer Science or a comparable degree program, supplemented by further training in business administration Several years’ professional experience in product management, product marketing or strategy development for technically sophisticated products in the automotive sector, specifically in the fields of infotainment or mobile communications Strong communication skills, a confident manner with the ability to assert oneself, presentation skills, as well as flexibility and the ability to work under pressure Proficiency in MS Office and SAP Very good written and spoken English and German