Candidate Evaluation Jobs in Ahmedabad
180 Jobs Found
Sr. Python/ai Ml Developer
Bytes Technolab
Job Title: Sr. Python / AI-ML Developer Location: Ahmedabad Experience: 3+ Years Qualification: Graduate in any discipline About Us: At Bytes Technolab, we strive to foster innovation through a robust digital infrastructure and a dynamic work environment. Our goal has always been to empower our developers with cutting-edge tools and technologies, enabling them to deliver world-class software solutions to startups, enterprises, and everything in between. We are looking for a highly skilled and driven Sr. Python / AI-ML Developer to join our expanding AI/ML team. If you're passionate about solving complex problems with intelligent solutions, we d love to hear from you. Key Responsibilities: Develop, train, and optimize machine learning and deep learning models using Python and its ML/AI ecosystem (NumPy, Pandas, scikit-learn, etc.). Work with leading ML/AI frameworks such as PyTorch, TensorFlow, Keras, OpenCV, and FaceNet. Leverage GPU acceleration (CUDA, cuDNN) for deep learning development and optimization. Design and implement solutions in computer vision, natural language processing (NLP), and neural networks. Work with large language models (LLMs) like GPT, BERT, and LLaMA, including tasks such as fine-tuning, embedding-based retrieval (RAG), and prompt engineering. Develop agentic AI systems using frameworks like LangChain, AutoGPT, BabyAGI, and custom orchestration pipelines. Translate complex business requirements into scalable AI/ML solutions. Deploy models on cloud platforms (AWS SageMaker, Azure ML, or Google AI Platform). Build and manage robust ETL pipelines, handle data preprocessing, and perform feature engineering. Implement MLOps workflows using tools such as MLflow, Kubeflow, or TensorFlow Extended (TFX). Containerize and orchestrate scalable deployments using Docker and Kubernetes. Manage model evaluation, A/B testing, continuous training pipelines, and CI/CD for ML systems. Work closely in Agile/Scrum teams and contribute to collaborative solution design. Ensure AI solutions adhere to ethical principles, and are fair, interpretable, and secure. Required Skills & Qualifications: 3+ years of professional experience in AI/ML model development and deployment. Expertise in Python and relevant libraries for AI/ML and data science. Strong grasp of neural networks, computer vision, and NLP fundamentals. Experience working with LLMs and agent-based architectures. Proficiency in cloud-based ML deployment and automation. Solid experience with containerization (Docker) and orchestration (Kubernetes). Strong problem-solving and analytical skills. Excellent communication skills with the ability to explain technical concepts to non-technical stakeholders. Familiarity with data versioning (DVC, Delta Lake) and continuous model delivery. Understanding of responsible AI practices including fairness and bias mitigation. Work on cutting-edge technologies in a high-growth, collaborative environment. Opportunity to lead AI/ML projects from ideation to production. Exposure to real-world applications of LLMs, MLOps, and agentic systems. Learn and grow with a passionate team of engineers, innovators, and thinkers.
Intern Data Science - Ai/ml
Mobio Solutions
Job Title: Data Science Intern AI/ML Location: Ahmedabad, Gujarat Type: Internship About the Role We re looking for a curious and motivated AI/ML Intern to join our Data Science team. This internship offers a fantastic opportunity to gain hands-on experience working on real-world machine learning and AI projects. You ll collaborate with experienced data scientists and engineers, apply algorithms to solve practical problems, and contribute to innovative research and development efforts. Key Responsibilities Assist in building, training, and evaluating machine learning models using Python. Support AI/ML research, experimentation, and proof-of-concept development. Perform data collection, cleaning, exploration, and visualization. Apply statistical methods and ML algorithms to solve analytical challenges. Document experiments, models, and processes clearly and thoroughly. Work closely with cross-functional teams including engineering and product. Proficiency in Python and libraries like scikit-learn, pandas, NumPy. Basic understanding of machine learning concepts, statistics, and data modeling. Experience with academic, personal, or internship-based AI/ML projects. Familiarity with tools such as TensorFlow, scikit-learn, or Azure ML. Eagerness to learn and apply new techniques. Strong analytical thinking and communication skills. Bonus Skills (Preferred but not required) Experience with Jupyter Notebooks, Google Colab, or cloud-based ML tools. Knowledge of deep learning frameworks (TensorFlow, Keras, PyTorch). Exposure to Azure Machine Learning, MLflow, or MLOps. Understanding of data pipelines and basic SQL. Work on cutting-edge AI/ML projects with real-world impact. Learn directly from seasoned data science professionals. Be part of a collaborative and growth-oriented environment. Potential pathway to full-time employment based on performance.
HR IT Recruiter
Alpha E Barcode Solutions Pvt. Ltd.
Job Title: HR IT Recruiter (Female) Experience: 6 Months to 1 Year Location: Rajkot, Gujarat Vacancy: 1 Job Type: Full-Time Job Overview: We are looking for a proactive and detail-oriented HR IT Recruiter (Female) to join our team in Rajkot. The ideal candidate will be responsible for sourcing, screening, and hiring IT talent while collaborating closely with hiring managers and participating in recruitment events. This role offers great exposure to the full recruitment lifecycle in a dynamic IT environment. Key Responsibilities: Design and update accurate, compelling job descriptions for IT positions. Source potential candidates through various online platforms such as LinkedIn, Naukri.com, social media, and other professional channels. Craft engaging recruitment emails to attract both active and passive candidates. Conduct interviews via phone, video, and in-person to evaluate candidate suitability. Provide hiring managers with shortlists of qualified candidates for further consideration. Send job offer emails and address candidate questions related to compensation and benefits. Participate in job fairs, in-house recruitment drives, and campus hiring events. Lead campus hiring initiatives for internships and placements. Collaborate with department managers to forecast and plan future hiring needs. Manage onboarding formalities for new hires to ensure smooth integration. Requirements & Skills: Proven experience as an HR IT Recruiter or similar recruitment role (6 months to 1 year). Strong knowledge of sourcing techniques and recruitment platforms. Understanding of referral programs and talent acquisition strategies. Excellent verbal and written communication skills. Ability to manage multiple priorities and work effectively with diverse teams. Personal Attributes: Proactive, organized, and detail-oriented. Strong interpersonal skills with a customer-focused approach. Ability to work independently and collaboratively. Opportunity to grow your HR career in a fast-paced IT environment. Work with a supportive team based in Rajkot. Exposure to end-to-end recruitment processes including campus hiring. Apply now to become a vital part of our HR team and help us attract top IT talent!
AI/ML Developer
Esparkbiz - Agile Teams On-demand
Job Title: AI/ML Developer Experience: 2-3 Years Positions: 2 Location: Rajkot, Gujarat Job Type: Full-Time Job Overview: We are looking for skilled and motivated AI/ML Developers with 2-3 years of experience to join our innovative team in Rajkot. The ideal candidates will have a strong background in building AI and machine learning solutions, leveraging deep learning, natural language processing, and generative AI technologies to drive business value and product excellence. Key Responsibilities: Develop and deploy AI/ML models using programming languages like Python, C++, R, or Scala. Build and optimize machine learning and deep learning models using frameworks such as TensorFlow, PyTorch, scikit-learn, Spark MLlib, OpenCV, nltk, transformers, and LangChain. Apply deep learning, computer vision, NLP, and generative AI techniques to solve complex problems. Work with Large Language Models (LLMs) including training on custom datasets and integrating third-party APIs like OpenAI API. Perform data preprocessing, feature engineering, exploratory data analysis (EDA), model selection, hyperparameter tuning, and model evaluation. Analyze and visualize data, creating dashboards and visual aids to support decision-making. Utilize SQL and NoSQL databases such as MySQL, PostgreSQL, and MongoDB for data storage and retrieval. Collaborate with cross-functional teams in an Agile environment and adopt DevOps practices for continuous integration and deployment. Stay updated with emerging AI/ML trends and technologies, implementing them into products and services. Communicate technical concepts effectively to stakeholders. Participate in designing scalable AI/ML solutions and contribute to the overall architecture. Bonus skills: Experience with Python web frameworks (Django, Flask, FastAPI), ML Ops, and cloud platforms. Qualifications: Bachelor s or Master s degree in Computer Science, Data Science, Statistics, Mathematics, or related fields. Minimum 2 years of professional experience in AI/ML development. Strong programming skills in Python, C++, R, or Scala. Hands-on experience with machine learning libraries and frameworks. Solid understanding of machine learning algorithms: supervised, unsupervised, and reinforcement learning. Knowledge of LLMs, generative AI models, and integration of AI APIs. Experience in data preprocessing, feature engineering, model tuning, and evaluation. Good grasp of SQL and NoSQL databases. Strong analytical, problem-solving, and communication skills. Experience with Agile methodologies and DevOps is a plus. Personal Attributes: Eager learner with a passion for AI/ML innovations. Proactive, self-motivated, and able to work independently or as part of a team. Excellent collaboration and stakeholder management skills. Opportunity to work on cutting-edge AI/ML projects. Collaborative work environment in Rajkot fostering innovation. Continuous learning and professional growth opportunities. Apply now to be part of our AI-driven future and contribute to building intelligent solutions that make an impact! Qualification : Bachelors or Masters degree in Computer Science, Data Science, Statistics, Mathematics, or related fields.
Site Engineer (fire & Safety)
Quantixtech Solutions Private Limited
Site Engineer Fire & Safety | 2+ Years Experience | Ahmedabad We are hiring a detail-oriented Site Engineer with 2+ years of experience in fire and safety project management. The candidate will oversee on-site operations, ensuring compliance with fire safety regulations while coordinating with various stakeholders to deliver projects on time and within budget. Key Responsibilities: Oversee and manage on-site fire and safety projects, ensuring all activities comply with relevant safety regulations and standards. Conduct regular site inspections and risk assessments to identify potential hazards. Coordinate effectively with clients, contractors, and other project stakeholders to ensure smooth operations. Prepare and maintain detailed reports, documentation, and progress updates. Implement, monitor, and enforce fire safety protocols and emergency procedures on-site. Troubleshoot and resolve issues related to fire safety systems promptly. Provide training and guidance to on-site personnel regarding fire safety best practices. Ensure timely project completion while adhering to budget constraints. Required Skills & Qualifications: Minimum 2 years of experience as a Site Engineer in the fire and safety sector. Strong knowledge of fire safety regulations, standards, and compliance requirements. Excellent coordination and communication skills. Ability to manage multiple stakeholders and work effectively under pressure. Proficiency in report preparation and site documentation. Location: Ahmedabad, India
HR Recruiter / Talent Acquisition Specialist
Codezeros
Job Title: HR Recruiter / Talent Acquisition Specialist Location: Ahmedabad, India Job Overview: As an HR Recruiter, you will play a key role in sourcing, screening, and engaging top talent to support our growing organization. You will work closely with hiring managers, coordinate interview processes, and contribute to building a strong talent pipeline through creative sourcing strategies and excellent candidate engagement. Key Responsibilities: Source and attract potential candidates using job portals, social media platforms, and professional networks. Screen resumes and conduct initial telephonic interviews to shortlist qualified candidates. Schedule and coordinate interviews between candidates and hiring managers. Maintain and update recruitment databases with accurate candidate information. Generate leads and build a pipeline of potential candidates using innovative sourcing techniques. Assist in talent acquisition planning to meet current and future hiring needs. Provide timely updates and reports on recruitment progress to the HR team. Support employer branding initiatives and participate in recruitment drives and events. Qualifications & Skills: Bachelor s or Master s degree in Human Resources, Business Administration, or a related field. Strong verbal and written communication skills. Basic understanding of recruitment processes, sourcing strategies, and candidate screening. Familiarity with popular job portals and lead generation tools. Excellent organizational skills with great attention to detail. A proactive, people-oriented approach with strong interpersonal skills. Ability to work collaboratively in a fast-paced, dynamic environment. Launch your HR career in a supportive and growth-oriented environment. Gain hands-on experience with end-to-end recruitment and talent acquisition. Work with a collaborative team committed to people and culture excellence. Qualification : Bachelors or Masters degree in Human Resources, Business Administration, or a related field.
HR - Talent Acquisition
WebClues Infotech
Job Title: HR - Talent Acquisition Experience: Fresher - 2 Years Job Overview We are seeking a dynamic and motivated HR Recruiter to join our team. The ideal candidate will be passionate about recruitment, have excellent communication skills, and a people-oriented approach to talent acquisition. This role is an excellent opportunity for freshers with a degree in Human Resources to start their career in recruitment. Key Responsibilities Source potential candidates through various job portals, social media, and networking channels. Screening resumes and conducting initial telephonic interviews to shortlist candidates. Schedule interviews and coordinate with candidates and hiring managers. Maintain and update the recruitment database with accurate and relevant data. Generate leads for potential candidates through innovative sourcing techniques. Assist in building a talent pipeline for current and future hiring needs. Provide regular updates and reports on recruitment progress to the team. Assisting in employer branding initiatives and recruitment drives. Qualifications and Skills Bachelor s/Master s degree in Human Resources or related field. Strong verbal and written communication skills. Basic understanding of recruitment processes and sourcing techniques. Familiarity with job portals and lead generation strategies. Strong organizational skills with attention to detail. A proactive and people-oriented mindset. Qualification : Bachelors/Masters degree in Human Resources or related field.
Ai Ml Python Developer
Einfochips
Position: AI/ML Python Developer Job Overview: We are seeking an experienced AI/ML Python Developer to join our dynamic team. In this role, you will leverage cutting-edge technologies to build and deploy machine learning models, contribute to innovative projects, and work with large language models (LLMs) and retrieval-augmented generation (RAG) systems. Key Responsibilities: Develop and optimize machine learning models using Python, ensuring high performance and accuracy. Utilize frameworks like TensorFlow and PyTorch for model training, evaluation, and deployment. Process and analyze data using tools such as scikit-learn, NumPy, and pandas to build robust data pipelines. Implement natural language processing techniques, including text preprocessing, tokenization, and embeddings. Work with large language models such as GPT, BERT, T5, and LLaMA, including fine-tuning and prompt engineering. Build and manage RAG pipelines with vector databases such as FAISS, Pinecone, or Chroma. Develop multi-agent systems using frameworks like LangChain, LangGraph, or CrewAI. Design and implement APIs for seamless model deployment using FastAPI, Flask, or Django. Collaborate effectively using Git/GitHub for version control and to ensure efficient team workflows. Contribute to the development, training, and deployment of models using Hugging Face tools. Work with both SQL and NoSQL databases to handle and preprocess large datasets. Required Skills & Experience: Proficiency in Python, especially for AI/ML model development. Experience with machine learning and deep learning frameworks, particularly TensorFlow and PyTorch. Strong understanding of data science concepts and tools like scikit-learn, NumPy, and pandas. Expertise in Natural Language Processing (NLP) techniques, including text preprocessing and embeddings. Familiarity with transformer models such as GPT, BERT, T5, and LLaMA, along with fine-tuning and prompt engineering. Experience with Retrieval-Augmented Generation (RAG) and vector databases like FAISS, Pinecone, or Chroma. Knowledge of multi-agent systems and frameworks such as LangChain, LangGraph, or CrewAI. Strong skills in API development using FastAPI, Flask, or Django. Solid understanding of version control using Git/GitHub. Hands-on experience with Hugging Face for model training and deployment. Location: Ahmedabad, Gujarat, India (Ognaj, eInfochips) Employment Type: Full-time Job Category: Engineering Services
AI/ML Developer
Esparkbiz - Agile Teams On-demand
Job Title: AI/ML Developer Experience: 2-3 Years Positions Available: 02 Qualification: Bachelor's or Master's degree in Computer Science, Data Science, Statistics, Mathematics, or a related field. Key Responsibilities: Develop and deploy AI/ML solutions, leveraging expertise in machine learning, deep learning, and generative AI. Design, implement, and optimize models using popular libraries like TensorFlow, PyTorch, scikit-learn, and others. Apply deep learning, computer vision, NLP, and reinforcement learning techniques to real-world problems. Work with Large Language Models (LLMs), including training custom models and integrating third-party LLM APIs like OpenAI. Conduct data preprocessing, feature engineering, exploratory data analysis (EDA), and model tuning to ensure high-quality results. Analyze complex data sets, create visualizations, and leverage statistical techniques to guide decision-making. Collaborate effectively with cross-functional teams and stakeholders to ensure successful project delivery. Continuously stay up-to-date with emerging technologies, implementing them to enhance products and services. Contribute to an Agile development environment with familiarity in DevOps practices for CI/CD. Skills & Qualifications: Experience: At least 2 years of hands-on experience in AI/ML development with a proven track record of successful project delivery. Technical Skills: Proficiency in Python, C++, R, or Scala. Strong foundation in machine learning and deep learning concepts. Familiarity with frameworks such as TensorFlow, PyTorch, OpenCV, and others. Experience in working with SQL and NoSQL databases (e.g., MySQL, PostgreSQL, MongoDB). Familiar with API frameworks like Django, Flask, and FastAPI (a plus). Key Areas of Expertise: Data preprocessing, feature engineering, model evaluation, and optimization. Experience with LLMs and integrations with third-party APIs like OpenAI. Ability to work with cloud platforms and ML Ops is a plus. Personal Attributes: Strong analytical and problem-solving abilities. Excellent communication and collaboration skills. Proactive, self-motivated, and eager to learn new technologies. Comfortable working both independently and as part of a team. Additional Pluses: Familiarity with Agile methodologies and DevOps practices. Knowledge in data visualization tools and techniques is an advantage. Qualification : Bachelor's or Master's degree in Computer Science, Data Science, Statistics, Mathematics, or a related field.
Project Manager - PMBA
Hidden Brains Infotech
Job Title: Project Manager - PMBA Required Experience: Relevant Experience: 8+ Years Total Experience: 10+ Years Experience in Project Management: 3 Years Job Type: Full-Time Number of Openings: 1 Job Description: We are seeking an experienced Project Manager with deep competency in Mobile and Web technologies to lead cross-functional teams. The ideal candidate will ensure the timely and budget-conscious delivery of projects, maintaining stakeholder satisfaction throughout the process. Responsibilities: Technical Leadership & Competency: Mobile & Web Applications Development: Demonstrate deep competency in the programming and development of both mobile and web applications. Client Communication & Requirement Gathering: Actively engage in client communication for gathering and eliciting project requirements, ensuring thorough understanding. Effort Estimation: Create effort estimations through Work Breakdown Structures (WBS) for accurate project forecasting. Technical Documentation: Develop essential documentation, including UML Diagrams, Wireframes, Use Case Diagrams, Workflow Diagrams, and Sequence Diagrams. Business Analysis Skills: Stakeholder Analysis & Planning: Conduct detailed business analysis planning and ensure clear communication with stakeholders. Requirements Management: Efficiently manage and communicate project scope, solution, traceability, risk, and constraints. Solution Evaluation: Define business problems, needs, and write detailed business cases, while technically evaluating the best solutions for the business. Elicitation: Gather and document business, functional, non-functional, performance, technical, and design requirements. Project Management Skills: SDLC Expertise: Possess comprehensive knowledge of SDLC and various methodologies like Agile, Scrum, Waterfall, and Rapid Application Development (RAD). Project Planning & Scheduling: Efficiently plan and schedule project timelines, ensuring proper resource allocation. Risk Monitoring: Continuously monitor and manage project risks and issues. Communication Management: Manage internal and external stakeholder communication effectively. Technical Skills: Wireframe Tools & Project Management Tools: Proficient in using wireframe and project management tools for delivering high-quality results. Mobile OS & Cross-Platform Frameworks: In-depth understanding of various mobile operating systems and development frameworks. API Integration: Experience in integrating and managing APIs and external interfaces (e.g., location-based services, maps, chat, messaging, charting, payment gateways). Client/Server Communication & Data Transfer: Knowledge of REST APIs, XML, JSON, and Batch Processing for seamless data transfer. Server & Hosting Platforms: Familiarity with virtual, dedicated, and cloud storage platforms. Marketplace Submissions: Understanding of application submission rules for various marketplaces, such as Play Store, iTunes, Amazon, and Windows Store. Key Responsibilities: Documentation Creation & Review: Develop and review BRD, FRD, SRS, and WBS (Work Breakdown Structures) to ensure thorough project documentation. Deliverable Management: Develop, review, and deliver key project artifacts, ensuring the timely delivery of high-quality work. Project Delivery: Effectively manage and deliver multiple projects within the defined schedule and budget. Team Coordination: Act as a key team player, ensuring effective coordination between various teams to achieve project goals. Communication & Project Management Tools: Use advanced project management tools and effective communication techniques to drive project success. Process-Oriented & Multi-tasking: Ability to self-manage and prioritize multiple tasks while adhering to a process-driven approach. Minimum Qualifications: Educational Qualification: BCA / B.E. / B.Tech / MCA / M.Tech or equivalent degree. Preferred Qualifications: Strong background in leading mobile and web application development projects. Proven experience in project management for mobile/web technologies. Additional Notes: Execution Experience: Must have successfully executed 10+ mobile applications in both mobile and web technologies, with a focus on high-quality deliverables and customer satisfaction. Qualification : BCA / B.E. / B.Tech / MCA / M.Tech or equivalent degree.
AI/ML Engineer
Rapidops
Job Title: AI/ML Engineer Location: Ahmedabad, India Job Type: Full-time Job Overview: As a progressive company deeply invested in artificial intelligence, we hold innovation as a guiding principle. In line with our commitment to advancing this domain, we're searching for a seasoned Machine Learning Engineer to refine our existing systems and architect new AI models. This role will involve a rich blend of tasks, including collaborating intensively with stakeholders and domain specialists to help develop AI models capable of tackling intricate business problems. Key Responsibilities: Collaborate with Cross-functional Teams: Work closely with domain experts, data scientists, and software engineers to develop and implement machine learning models and algorithms that solve business problems. Data Analysis and Insights: Analyze large, complex datasets to extract actionable insights, identify patterns, and improve the performance of machine learning models. ML Pipeline Development: Develop and maintain end-to-end machine learning pipelines, including data preprocessing, feature extraction, model training, and evaluation. Model Deployment and Monitoring: Deploy machine learning models into production environments, monitor their performance, and ensure their continued effectiveness. Stay Current with Advancements: Keep up to date with the latest industry advancements in machine learning and artificial intelligence. Apply relevant techniques and technologies to continuously improve existing models and systems. Contribute to Best Practices: Contribute to the development of best practices, guidelines, and standards for machine learning engineering within the organization. Write Clean Code: Maintain high-quality, maintainable, and efficient code that adheres to industry best practices. Required Qualifications: Education: Tertiary degree in Computer Science, Software Engineering, or a related field, with a focus on machine learning or artificial intelligence. Experience: 3+ years of experience as a Machine Learning Engineer or in a similar role. Programming Skills: Advanced skills in programming languages such as Python, Rust, and related frameworks. Machine Learning Frameworks: Hands-on experience with machine learning frameworks such as PyTorch and libraries like NumPy, Pandas, or Keras. Problem-Solving: Excellent problem-solving and analytical skills, with the ability to approach complex challenges with a clear and effective strategy. Collaboration and Communication: Strong communication and collaboration abilities, with the capacity to work well in cross-functional teams. Independence: Ability to work independently when needed, demonstrating initiative and accountability. Preferred Qualifications: Microservices and Containerization: Experience with microservices architecture, Docker, Kubernetes, and Linux. Big Data Tools: Experience with big data processing tools (e.g., Hadoop, Spark) and data storage systems (e.g., SQL, NoSQL). Technical Design Skills: Demonstrated technical design, problem-solving, coding, and debugging skills. Distributed Systems: Experience with distributed systems design and implementation. Innovation: Be part of a team that is shaping the future of artificial intelligence. Career Growth: Continuous learning and growth opportunities in the AI/ML domain. Impact: Work on real-world projects that drive meaningful business outcomes. Dynamic Environment: Thrive in a fast-paced, innovative environment that encourages creativity and collaboration. If you are passionate about AI/ML, have the skills to develop cutting-edge solutions, and are eager to work with a talented team, we d love to have you onboard at Rapidops! Qualification : Tertiary degree in Computer Science, Software Engineering, or a related field, with a focus on machine learning or artificial intelligence.
Lead Generation (female Candidate)
Xongolab Technologies Llp
Requirements: Research, track, maintain and update Leads. Contact prospects to qualify Leads. Conduct customer research Email Marketing and different strategies. Bidding in Upwork and other freelancing platform. Develop a strong knowledge of the company s products and services in order to facilitate the sales process. Excellent english communication (verbal and written). Experience working with western companies. Qualification: (if any particular needed): MBA Preferred Qualification : MBA Preferred
Social Media Manager (female Candidate)
Xongolab Technologies Llp
Requirements: Proven experience as a Social Media Manager. Develop and implement social media strategies to increase brand awareness and engagement across all platforms (Facebook, YouTube, Twitter, Instagram, LinkedIn, etc.). Create high-quality graphics, videos, and other visual content using tools such as Canva ow with the help of the design team. Write engaging copy and content for social media posts, blogs, email campaigns, and other marketing materials. Monitoring the company s brand on social media. Building brand awareness by engaging relevant influencers. Knowledge of SEO, keyword research, and Google Analytics. Monitor, track, analyze, and performance report. Recommend improvements to increase performance. Researches and monitors the activity of company competitors. Set targets to increase brand awareness and increase customer engagement and loyalty. Ability to work independently Qualification: (if any particular needed): MBA Preferred Qualification : MBA Preferred
Ai Engineer
Space O Technologies
Job Description We are looking for a highly skilled AI Engineer with expertise in Large Language Models (LLMs), machine learning, data engineering, and product development. The ideal candidate will drive the development of intelligent, scalable, and ethical AI solutions while leveraging cutting-edge technologies to solve complex challenges. Required Qualifications Expertise in LLMs, machine learning, and data engineering. Knowledge of transformer architectures and deep learning models like CNNs and RNNs. Strong in Python and JavaScript; familiarity with C++ and Java is a plus. Experience with TensorFlow, PyTorch, and Keras for AI model development. Proficient in building scalable data pipelines and performing data preprocessing. Familiarity with AWS, Google Cloud, or Azure for scalable deployments. Understanding of CI/CD practices for automating AI workflows. Awareness of AI ethics, including bias mitigation and fairness principles. Strong analytical and problem-solving skills with adaptability to new technologies. Roles and Responsibilities Develop and fine-tune LLMs for tasks like retrieval-augmented generation (RAG). Build and deploy machine learning models using frameworks like TensorFlow, PyTorch, and Keras. Create scalable data pipelines using Apache Spark, Hadoop, and SQL. Conduct data preprocessing, including cleaning, transformation, and feature engineering. Leverage agentic frameworks such as LangGraph, CrewAI, and AutoGen to design advanced AI workflows. Deploy AI models on cloud platforms (AWS, Google Cloud, Azure) and implement CI/CD practices. Develop generative models like GANs for synthetic data generation and analysis. Ensure ethical AI design by mitigating bias and promoting fairness. Troubleshoot and optimize AI systems for performance and scalability.
It Recruiter
Technostacks Infotech Pvt. Ltd.
Experience 3 Years No of Openings 2 Responsibilities Collaborate with clients and teams to understand the latest candidate requirements. Develop a well-structured recruitment strategy. Source qualified candidates from social media, internal databases, and different job portals. Make changes in approaches according to the latest industry trends. Assist with budget preparation and HR-related tasks. Screen and filter out candidates by evaluating against the latest standards. Analyze a candidate s capabilities via pre-screening assessments and calls. Conduct interviews using a variety of methods, like video, in-person, or telephone. Keep track of applicants at every stage and follow up. Create new leads by participating in tech conferences and meetups. Keep a record of job responsibilities through job analyses. Skills A bachelor s in HR or any related field. Excellent sourcing and evaluation skills. Proven experience in building the talent pool for the IT department via different recruitment platforms and processes. Familiarity with interview formats, such as Skype, Zoom, Teams, etc. Solid understanding of phone interviews, group interviews, and other interview methods. First-hand experience using Applicant Tracking System (ATS) and recruitment software. Good communication and decision-making skills. Qualification : A bachelors in HR or any related field.
Hr Executive
Spec India
Role & Responsibilities We are seeking a proactive and experienced HR professional to manage the end-to-end recruitment process, drive employee engagement initiatives, and ensure adherence to HR policies and compliance standards. The ideal candidate will play a pivotal role in fostering a positive work environment and supporting organizational growth. Key Responsibilities Talent Acquisition: Source and screen candidate profiles via job boards, social media, and advanced recruitment tools. Manage the full recruitment lifecycle conduct initial interviews, coordinate assessments, facilitate interview panels, and ensure a seamless offer and onboarding process. Onboarding & Employee Integration: Coordinate new hire logistics, prepare documentation, issue appointment letters, and organize induction programs. Manage company asset distribution, welcome communications, and ensure a smooth onboarding experience. HR Operations & Compliance: Execute reference checks, manage performance evaluations, and issue confirmation letters post-probation assessments. Ensure adherence to ISO standards, maintain accurate documentation, and support audit processes for compliance. Maintain and update insurance records, oversee policy renewals, and manage reimbursement processes with accuracy. Employee Engagement & Relations: Organize and coordinate employee engagement events, handle grievance resolution, and gather feedback to improve employee satisfaction and retention. Lead campus placement initiatives, manage trainee onboarding, and monitor training schedules and assessments. HR Communication & Exit Management: Communicate policy updates, event details, and organizational announcements through official HR channels. Manage employee exit processes, including resignation follow-ups, clearance procedures, exit interviews, and final documentation. Primary Skills Strong Communication and Leadership skills Expertise in Talent Management, Onboarding, and Training & Development Secondary Skills (Nice-to-Have) Problem-Solving and Employee Relations experience Knowledge of Learning and Development processes Basic Technical Skills
Technical Lead - Ai/ml
Crest Data Systems
Description The Technical Lead for AI/ML plays a critical role in driving the technical direction and execution of artificial intelligence and machine learning projects within the organization. This position combines strong technical expertise in AI/ML with leadership skills to guide a team of engineers and data scientists in developing innovative AI/ML solutions. The Technical Lead will collaborate closely with cross-functional teams to translate business requirements into technical designs and drive the successful implementation, testing and deployment of AI/ML models and systems. Responsibilities 1. AI/ML Model Training and Development Lead the development of new AI Models from scratch and fine-tuning existing base models with new data Implement and execute model evaluation experiments to test and pick the best model for a certain task Build high throughput and automated data pipelines to allow Data analysis and model training Lead feature engineering to select the most relevant features in datasets to train models on Pick the right set of evaluation metric to test model candidates for deployment Use MLOps principles to allow continuous model tuning and performance improvements 2. AI/ML Model Deployment: Lead the deployment of AI/ML models into production environments, ensuring scalability, reliability, and performance. Implement best practices for model versioning, monitoring, and maintenance to ensure ongoing model accuracy and effectiveness. Collaborate with DevOps and infrastructure teams to integrate AI/ML components into CI/CD pipelines and automated deployment processes. Implement CI/CD practices for AI/ML development, including automated testing, code review processes, and continuous integration pipelines. Automate deployment processes for AI/ML models using tools such as Jenkins, GitLab CI/CD, or similar platforms. 3. Technology Expertise: Demonstrate deep expertise in AI/ML technologies, including TensorFlow, PyTorch, Keras, NumPy, Pandas and familiarity with platforms such as OpenAI, Hugging Face, Perplexity AI and Anthropic. Stay current with advancements in AI/ML research and technologies, evaluating their applicability to the organization's needs and projects. 4. Architecture and Design: Design and implement architectures around AI/ML solutions, including data pipelines, model serving infrastructure, and integration with existing systems. Collaborate with data engineers to ensure the availability, quality, and reliability of data sources for AI/ML model training and deployment. 5. Python Development: Utilize Python programming for AI/ML model development, automation scripts, and development of supporting tools and utilities. Collaborate with software engineering teams to integrate AI/ML capabilities into software applications and services. Requirements Bachelor's or Master's degree in Computer Science, Engineering, Mathematics, or related field. Extensive experience (5+ years) in AI/ML development, with a focus on deploying models into production environments. Strong proficiency in AI/ML frameworks such as TensorFlow, PyTorch, Keras, NumPy, Pandas and familiarity with platforms such as OpenAI, Hugging Face, Perplexity AI and Anthropic. Experience building architectures around AI/ML solutions, including data pipelines, model serving infrastructure, and integration with existing systems. Hands-on experience with CI/CD practices and tools, with a strong understanding of software development lifecycle processes. Proficiency in Python programming and experience with relevant libraries and frameworks for AI/ML development. Experience of Python Pandas and similar languages is a must Worked on pre-processing pipelines ensuring security compliances standards are met Excellent communication skills and the ability to collaborate effectively with cross-functional teams. Strong problem-solving abilities and a passion for innovation and continuous improvement in AI/ML deployment practices. Qualification : Bachelor's or Master's degree in Computer Science, Engineering, Mathematics, or related field.
Ai/ml Engineer
Mind Inventory
Minimum of 3 years of experience in AI-based application development and able to creat Python APIs. Design, develop, and implement generative AI models using state-of-the-art techniques. Fine-tune pre-existing models to improve performance and accuracy. Develop and implement generative AI models with a strong understanding of deep learning techniques such as GPT, VAE, and GANs. Architect and develop advanced generative AI solutions leveraging state-of-the-art language models (LLMs) such as GPT, LLaMA, PaLM, BLOOM, and others. Implement frameworks like LangChain, Anthropics Constitutional AI, OpenAIs Whisper, Hugging Face, TensorFlow, PyTorch, and Prompt Engineering techniques to build robust and scalable AI applications. Optimize model performance through experimentation, hyperparameter tuning, and advanced optimization techniques. Test and validate AI models to ensure they meet quality standards and fulfill business objectives. Develop and maintain APIs using Python's FastAPI, Flask, or Django for integrating AI capabilities into various systems. Design and implement machine learning models, including supervised, unsupervised, and reinforcement learning techniques. Explore and implement cutting-edge techniques like Few-Shot Learning, Reinforcement Learning, Multi-Task Learning, and Transfer Learning for AI model training and fine-tuning. Collaborate with cross-functional teams to understand business requirements and translate them into technical solutions. Optimize AI models for performance, efficiency, and scalability, ensuring seamless integration with cloud platforms like AWS, Google Cloud, or Azure. Develop and maintain AI-based applications and systems for industries such as Healthcare, Real Estate, and Fintech. Ensure the scalability, reliability, and performance of AI-based applications and systems. Stay updated with the latest advancements in AI and Machine Learning technologies and integrate innovative approaches for sustained competitive advantage. Expertise in Python programming and frameworks like FastAPI, Django etc Experience with TensorFlow, Keras, PyTorch, and other deep learning frameworks. Strong understanding and experience with open-source multimodal LLM models like OpenAI API, Gemini, VertexAI, Function calling, Open CV to customize and create solutions. Experience with cloud-based AI services such as AWS, Azure, or Google Cloud Platform. Knowledge of LangChain, Anthropics Constitutional AI, and Prompt Engineering techniques. Experience with Few-Shot Learning, Reinforcement Learning, Multi-Task Learning, and Transfer Learning. A proven track record of delivering impactful AI-driven solutions. The ideal candidate will possess a strong technical and problem-solving mindset, capable of translating business requirements into technical solutions.
Relationship Manager
Kredx
Relationship Manager (RM) Global Trade Finance (GTX) Location: Ahmedabad Experience: 3 5 years Reporting To: Head Global Trade Finance Company: KredX About GTX GTX is a licensed International Trade Financing Services (ITFS) platform operating under IFSCA, designed to support exporters and importers with cross-border working capital needs. Headquartered in GIFT City, our tech-driven platform combines innovative financial solutions with market expertise to simplify and scale global trade financing. Role Overview We are expanding our Global Trade Finance (GTX) vertical and are looking for a highly motivated and experienced Relationship Manager to join our team. In this role, you will be responsible for structuring and executing trade finance transactions, managing client portfolios, building strategic relationships, and ensuring compliance across all operations. You'll work closely with exporters, importers, financial institutions, and internal teams to deliver comprehensive trade finance solutions. Key Responsibilities Client & Transaction Management Originate, structure, and execute various trade finance products such as export factoring, LC, SBLC, forfaiting, buyer s/supplier s credit, etc. Manage and grow a portfolio of corporate clients engaged in international trade. Identify cross-selling opportunities and strengthen client relationships through customized financing solutions. Operational & Risk Oversight Ensure thorough execution of documentation, credit appraisal, compliance checks (KYC/AML), and risk assessments. Oversee transaction lifecycles, including disbursals, repayments, collateral management, and flow monitoring. Coordinate with compliance, risk, and legal teams to ensure risk mitigation across deals. Banking & Institutional Partnerships Liaise with banks (domestic & international), NBFCs, ECAs, and factoring partners for deal structuring and closures. Negotiate terms, pricing, and exposure limits with funding institutions to secure optimal outcomes. Strategic Initiatives Contribute to the development and automation of trade finance products and processes. Monitor global trade trends, regulatory updates (UCP, URDG, FEMA, RBI), and customer behaviors to inform strategy. Candidate Profile Education & Experience 3 5 years of experience in trade finance roles at banks, NBFCs, fintechs, or corporate treasury teams. Certifications such as CDCS or CITF are advantageous. Strong knowledge of trade finance instruments, international regulatory frameworks, and cross-border trade dynamics. Skills & Competencies Proficient in trade documentation, credit analysis, and risk management. Strong analytical thinking and structured problem-solving abilities. Excellent communication, negotiation, and client relationship management skills. Be a part of a high-impact, high-growth vertical with international exposure. Work in a fast-paced, innovation-driven environment backed by strong institutional support. Lead and contribute to digital-first, transformative trade finance initiatives.
Tech Lead Embedded Software/Firmware
Smart Soc Solutions
Tech Lead Embedded Software/Firmware Location: Ahmedabad Job Type: Full-Time Category: Embedded Solutions Job Summary We are looking for a skilled Tech Lead Embedded Software/Firmware to lead our growing embedded systems team focused on delivering robust solutions for industrial applications, with opportunities to work on avionics and high-end consumer electronics. The ideal candidate is hands-on, technically strong, and adept at mentoring engineers while driving the delivery of production-quality embedded software. Key Responsibilities Define software architecture and guide design decisions for embedded products across industrial and consumer domains. Lead development of embedded firmware for microcontrollers, SoCs, and FPGAs using C/C++ and assembly language. Drive Board Support Package (BSP) development including bootloaders, device drivers, and OS bring-up (Linux, RTOS). Collaborate with hardware teams on board bring-up, hardware validation, and early prototyping. Architect and implement firmware for interfaces such as UART, SPI, I2C, CAN, USB, Ethernet, GPIO, and memory controllers. Integrate RTOS or embedded Linux based on project needs, including kernel customization and peripheral support. Establish and enforce coding standards, conduct code reviews, and promote embedded software best practices. Maintain embedded development environments, toolchains, and build systems (e.g., Make, CMake, Yocto). Manage the entire software lifecycle from requirements gathering through testing, validation, and release. Coordinate with cross-functional teams including hardware, QA, and manufacturing for seamless product delivery. Mentor and provide technical training to junior and mid-level engineers. Lead root cause analysis and debugging for complex system-level hardware/software issues. Ensure compliance with industry standards and safety frameworks (e.g., MISRA, ISO 26262, IEC 61508). Work closely with project and program managers on timelines, resource allocation, and risk management. Required Qualifications Bachelor s or Master s degree in Electronics, Electrical, or Computer Engineering. 10+ years of embedded firmware/software development experience, including 2+ years in a leadership role. Expertise in embedded C/C++, real-time operating systems, and microcontroller/System on Module platforms. Experience with firmware bring-up, bootloaders, RTOS (FreeRTOS, ThreadX, etc.), and communication protocol stacks. Familiarity with version control systems (Git, SVN) and CI/CD pipeline implementation. Strong knowledge of industrial communication protocols, safety-critical systems, and hardware interfacing. Exposure to compliance frameworks such as DO-178, MISRA, or ISO 26262 is a plus. Preferred Qualifications Experience in avionics or consumer electronics firmware development. Proficiency in scripting languages and Python-based test automation. Knowledge of embedded Linux and FPGA interfacing or signal processing. Benefits Opportunity to work on cutting-edge projects across industrial, avionics, and emerging technology sectors. Lead and grow a high-performing embedded software team with career advancement prospects. Competitive salary and a dynamic, collaborative work environment. Qualification : Bachelors or Masters degree in Electronics, Electrical, or Computer Engineering
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