Job Title: Quality Control Trainee Location: Vadodara Experience: 0 1 Year Job Type: Full-time Role Overview We are looking for motivated and detail-oriented Quality Control Trainees to join our team. This entry-level position is ideal for fresh diploma graduates in mechanical or related fields who are eager to gain hands-on experience in quality control and inspection processes within a manufacturing environment. Key Responsibilities Perform visual and dimensional inspections of components using VMM (Video Measuring Machine) and other precision instruments to ensure compliance with quality specifications. Assist in new product development by providing feedback on design improvements, material selections, and quality compliance. Create and maintain accurate documentation for inspection processes, test protocols, and product evaluation reports, ensuring alignment with internal standards and industry regulations. Support Statistical Process Control (SPC) efforts by collecting production data and performing basic trend analysis to monitor quality and process stability. Contribute to process improvement initiatives by identifying quality-related issues and providing data-driven insights. Participate in Measurement System Analysis (MSA) activities to evaluate the accuracy, repeatability, and reproducibility of inspection equipment. Review and interpret engineering drawings, ensuring products meet dimensional and tolerance requirements. Assist in revising or updating technical drawings as part of product changes or improvements. Preferred Candidate Profile Diploma in Mechanical Engineering, Manufacturing Engineering, Industrial Engineering, or a related discipline. Fresh graduates or candidates with up to 1 year of experience are welcome to apply. Basic understanding of engineering drawings and technical specifications. Familiarity with VMM or other precision measurement tools is a plus (training will be provided if needed). Proficiency in Microsoft Office tools (Excel, Word, etc.) for documentation and reporting. Strong attention to detail, willingness to learn, and ability to work as part of a team. A structured training and onboarding program to develop core QC/QA skills. Exposure to modern manufacturing practices and quality systems. Opportunity to grow into permanent roles in quality assurance, manufacturing, or product development. A collaborative work environment with experienced mentors. Qualification : Diploma in Mechanical Engineering, Manufacturing Engineering, Industrial Engineering, or a related discipline

Job Description We are seeking a skilled Data Scientist with a focus on Machine Learning (ML), Natural Language Processing (NLP), and Computer Vision to join our team. You will be responsible for analyzing business problems and translating them into technical specifications for Data Science projects. With your strong problem-solving abilities, you will leverage cutting-edge technologies in AI, cloud platforms, and generative AI to create solutions that drive business value. This role will require hands-on expertise in Machine Learning model development, AI solution deployment, and the Data Science lifecycle. Key Responsibilities Design and Development of Machine Learning Pipelines: Build and implement end-to-end ML production pipelines including data exploration, sampling, feature engineering, model building, and performance evaluation. Experience in predictive analytics and statistical modeling. Development of AI Solutions: Lead the design and development of AI and Data Science projects, including Generative AI applications using open-source LLMs and cloud platforms. Implement and optimize AI models such as Logistic Regression, SVMs, Decision Trees, CNNs, and clustering algorithms. Integration and Deployment: Design and develop API-based applications for AI and Data Science projects. Ensure effective deployment and integration into DevOps pipelines. Collaboration and Cross-functional Coordination: Work closely with internal teams and stakeholders to understand business requirements and translate them into technical specifications for AI solutions. Collaborate with cross-functional teams to ensure successful project execution. Research & Continuous Improvement: Stay updated with the latest developments in Generative AI, LLMs, and emerging AI models. Continuously improve the performance of models and pipelines based on business feedback and performance metrics. Required Skills and Qualifications Education: B-Tech/BE in Computer Science, IT, MCA, or MSc in Computer Science with relevant certifications. Technical Expertise: Programming: Strong hands-on experience in Python, PyTorch, Spark/PySpark, SQL, TensorFlow, and NLP frameworks. Machine Learning Models: Proven experience in designing and developing Machine Learning models for at least 3 AI/Data Science projects. Generative AI: Experience in the design and development of Generative AI applications, especially using open-source LLMs like OpenAI, Llama, and Mistral AI. Cloud Platforms: Hands-on experience with cloud platforms and deploying AI models in the cloud. Data Engineering: Strong understanding of data engineering lifecycle, including data pipelines, data lakes, and data warehouses. Desirable Skills: Familiarity with containerization and orchestration tools like Docker and Kubernetes. Experience with Databricks, Azure Data Platform, and configuration management tools is a plus. Understanding of DevOps pipelines for model deployment. Exposure to LLM integration and development. Experience 3+ years of experience in Machine Learning Model development within Data Science/AI Projects. Prior experience with Generative AI solutions and integration of LLMs for business/automation needs is highly desirable. Soft Skills & Competencies Research Orientation: Passion for exploring new technologies and methodologies. Clear Communication: Ability to explain complex technical concepts to non-technical stakeholders. Collaboration: Strong team player with an ability to work with cross-functional teams. Solution Orientation: Ability to devise actionable solutions to complex problems. Adaptability: Comfortable working in a fast-paced, evolving environment. Analytical Thinking: Strong problem-solving abilities and keen attention to detail. Customer-Centric Mindset: A focus on delivering value to clients and ensuring satisfaction. Why Join Us? Work on cutting-edge AI technologies, including Generative AI and LLMs. Collaborate with experts in Machine Learning, NLP, and Computer Vision. Opportunity to work on high-impact projects for global businesses. Focus on continuous learning and professional growth.

Job Title: Technical Research Analyst Department: Research Location: Vadodara Key Responsibilities Conduct comprehensive research, compile, analyze, and interpret data on companies, sectors, and economic conditions. Develop fundamental views on companies and industries, including estimates of key metrics such as revenue, EPS, and PE ratios. Analyze economic data to identify trends in national and local economies and prepare detailed research reports. Assess the impact of economic factors on specific sectors and companies and make projections accordingly. Utilize financial databases (e.g., C-line) to prepare company reports, sector analyses, and thematic research reports. Generate momentum calls, weekly calls, and positional calls for equity and currency markets based on technical tools and indicators. Identify and formulate investment ideas and recommendations for clients. Manage and review client portfolios regularly, including quarterly reviews. Assist senior analysts in publishing research calls and reports. Prepare daily, weekly, and monthly research reports on equity and currency markets. Write articles and columns for media publications. Provide support to various branches and franchises, addressing queries related to industries and securities. Conduct conference calls with branches and franchises prior to market opening. Deliver presentations and training sessions to clients and colleagues on a routine basis. Monitor clients financial progress and status regularly to ensure alignment with investment goals. Demonstrate strong marketing, sales, and business development skills with a proactive approach to team leadership and growth. Qualifications Master s degree in a relevant field. NISM, NCFM, or AMFI certification is mandatory. Experience Minimum of 3 years of experience in technical research or a related field. Qualification : Masters degree in a relevant field

AI-ML Sr. Developer NO OF OPENINGS: 1 YEARS OF EXPERIENCE: 3+ years JOB DESCRIPTION: We are seeking a skilled Python AIML Developer with expertise in Django to join our team. The ideal candidate will have experience developing AI/ML models, integrating them with web applications, and deploying scalable solutions. You will work closely with cross-functional teams to design, develop, and implement AI-driven applications. ROLES & RESPONSIBILITIES: Develop, train, test, and optimize AI/ML models for real-world applications including classification, regression, and natural language processing (NLP). Integrate machine learning models into Django-based web applications. Work with TensorFlow, PyTorch, Scikit-learn, Hugging Face, ElasticSearch, Textract or similar libraries for AI/ML development. Design and implement APIs for model interaction using Django REST Framework (DRF). Optimize model performance and improve accuracy using feature engineering and hyperparameter tuning. Manage databases such as PostgreSQL, MySQL, or MongoDB to store AI-related data. Deploy machine learning models using Docker, Kubernetes, Azure, or cloud platforms (AWS, GCP, or Azure). Perform unit testing and debugging to ensure software reliability. Lead a team of engineers and provide technical leadership/mentorship. Collaborate with front-end developers, data engineers, and product managers to create seamless AI-driven applications. Stay updated with the latest AI/ML advancements and integrate them into projects. SKILLS SET & QUALIFICATION: Proficient in one or more of the following AI/ML development libraries: TensorFlow, Pytorch, Scikit-Learn, Hugging Face, or ElasticSearch, Textract, and similar libraries. Understanding of Natural Language Processing (NLP), Computer Vision, Deep Learning, and Predictive Analysis. Hands-on work experience with SQL and NoSQL databases. Knowledge about Docker, Kubernetes, CI/CD pipeline logic, Azure, and cloud services. A minimum of 3 years of experience required in AI technologies. Great communication skills.

Company Description: Maskoid Technologies began its operations in Vadodara, Gujarat, in 2015 with a single client. Over the years, we have expanded rapidly, now serving over 500 clients globally, with the number continuing to grow. We are one of the top internet marketing agencies for local businesses, and our core values of innovation, hard work, and ethics have been instrumental in our success. We are looking for talented individuals to join our team in a fast-paced, positive work environment. Job Description: Position: Data Analytics (Research Marketing) Number of Positions: 01 (Only Female Can Apply) Experience: Freshers Only Qualification: Any Graduate Mode of Work: Work from the office only Joining: Immediate Joiner Job Location: Vadodara, Gujarat (Hiring local candidates only) Key Responsibilities: Conduct Research: Meticulously verify and update funding and acquisition data, ensuring all information is accurate and complete. Data Extraction & Compilation: Extract and compile data from both primary and secondary sources to fill in missing information. Innovative Ideas Generation: Generate creative ideas weekly for engaging data-driven strategies. Target Industry Research: Fetch relevant companies from specific target industry verticals on a daily basis. Ensure Accuracy: Apply the necessary skills to ensure accurate and informative responses, guiding new projects and tasks appropriately. Checklist Completion: Follow daily, weekly, and monthly checklists for required actions. Utilize Platforms: Use platforms like Google and Social Media platforms to gather data. Data Categorization: Find, categorize, and document sources for various data points sourced from primary and secondary sources. Knowledge Base Development: Help build a knowledge base by providing feedback on existing research methodologies and ensuring they reflect real-world scenarios. Qualifications: Educational Qualification: Bachelor s degree in Data Science, Computer Science, Statistics, Mathematics, or a related field. Skills: Basic knowledge of data analysis tools and techniques (e.g., Excel, SQL). Familiarity with data visualization tools (e.g., Tableau, Power BI) is a plus. Strong analytical skills with high attention to detail. Good communication and presentation skills. Ability to learn quickly and adapt to new tools and technologies. Positive attitude and willingness to take on new challenges. Team player who thrives in a collaborative environment. Other Details: Work Environment: Flexible timing. Stress-free environment. Excellent infrastructure. Training and mentorship provided. If you are passionate about data analytics and are looking to start your career in a dynamic and growing organization, we would love to have you join Maskoid Technologies. Apply today and take your first step toward an exciting future with us! Qualification : Bachelors degree in Data Science, Computer Science, Statistics, Mathematics, or a related field.

Job Summary The Lead Data Scientist will be responsible for driving data science initiatives and leading a team of data scientists to develop innovative solutions using Artificial Intelligence, Generative AI, and Machine Learning. This role requires a strong background in Python and Large Language Models (LLM) to enhance data-driven decision-making across the organization. Duties and Responsibilities Lead the design and implementation of data science projects from conception to deployment. Collaborate with cross-functional teams to identify opportunities for leveraging data to drive business solutions. Mentor and guide junior data scientists in best practices and methodologies. Develop and maintain machine learning models and algorithms to solve complex business problems. Stay updated with the latest advancements in AI and machine learning technologies. Communicate findings and insights to stakeholders through presentations and reports. Qualifications and Requirements Bachelor's or Master's degree in Computer Science, Data Science, Statistics, or a related field. 5-7 years of experience in data science or a related field. Proficiency in Python and experience with data science libraries (e.g., Pandas, NumPy, Scikit-learn). Strong understanding of machine learning algorithms and techniques. Experience with Large Language Models (LLM) and Generative AI. Excellent problem-solving skills and ability to work in a fast-paced environment. Key Competencies Strong analytical and critical thinking skills. Effective communication and presentation skills. Ability to work collaboratively in a team-oriented environment. Adaptability and willingness to learn new technologies. Project management skills to oversee multiple projects simultaneously. Performance Expectations Deliver high-quality data science solutions within project timelines. Demonstrate leadership by fostering a collaborative team environment. Achieve measurable improvements in business outcomes through data-driven insights. Continuously enhance technical skills and knowledge in the field of data science. Qualification : Bachelor's or Master's degree in Computer Science, Data Science, Statistics, or a related field.

Digital Marketing Executive | Vadodara Position: 1 Experience: Fresher Job Type: Full-Time Location: Vadodara Role Overview: We are seeking a Digital Marketing Executive to join our dynamic team in Vadodara. As a key player in our marketing efforts, you will plan and execute various digital campaigns, including SEO/SEM, social media, email, and display advertising. You will also track performance metrics, analyze trends, and optimize campaigns for maximum results. This role offers a fantastic opportunity for a creative and analytical individual to build hands-on experience in the digital marketing landscape. Key Responsibilities: Campaign Planning & Execution: Develop and implement digital marketing campaigns across web, SEO/SEM, email, social media, and display advertising platforms. Social Media Management: Design, build, and maintain a strong social media presence across various platforms to engage and grow our online audience. Performance Measurement: Track and measure the performance of all digital marketing campaigns, assessing against key metrics such as ROI and KPIs. Data Analysis & Optimization: Identify trends, analyze insights, and optimize spend and performance based on data-driven decisions. Creative Strategy Development: Brainstorm and implement creative growth strategies to boost brand visibility and engagement. A/B Testing & Experiments: Plan and execute conversion tests, experiments, and optimizations to enhance campaign effectiveness. Collaboration: Work closely with internal teams to design and optimize landing pages and enhance user experience. Customer Experience Evaluation: Utilize strong analytical skills to assess customer interactions across multiple channels and touchpoints. Funnel Optimization: Identify critical conversion points and optimize user funnels to maximize lead generation and sales. Vendor Collaboration: Work with agencies and other external partners to enhance digital marketing efforts. Tech Trend Evaluation: Stay updated on emerging technologies and provide thought leadership on their adoption for the company. Qualifications & Skills: Client Relationship Management: Ability to create and maintain strong client relationships. Motivation: Self-driven and customer-focused with a passion for digital marketing. Creative & Analytical Mindset: Highly creative with the ability to develop digital campaigns that engage and motivate target audiences. Proficient in marketing research and statistical analysis. Digital Marketing Expertise: Strong understanding of digital marketing strategies and tools, including SEO/SEM, email marketing, social media, and display advertising. Education & Experience: Education: Bachelor s or Master s degree in Marketing or a related field. Experience: Proven interest or experience in digital marketing (internships, personal projects, or academic experience are valuable for freshers). Technical Expertise: Familiarity with SEO/SEM, email campaigns, social media management, and web analytics tools is a plus. This is an excellent opportunity for freshers looking to dive into the exciting world of digital marketing! If you're a motivated individual with a creative flair, we encourage you to apply and join our innovative team. Qualification : Bachelors or Masters degree in Marketing or a related field.