Data Science AI Jobs in Ahmedabad

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.

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.

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!

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.

Deputy General Manager - ESG Location: Ahmedabad, Gujarat, India Responsibilities ESG Compliance and Strategy Development Develop long-term ESG strategies that align with corporate objectives, ensuring effective communication and implementation across the organization to foster a culture of environmental and social responsibility. Ensure all operations exceed regulatory requirements by developing comprehensive compliance strategies and leading the implementation of these strategies across all departments. Set high-level goals, monitor progress, and address any compliance gaps identified during regular audits. Environmental Stewardship Initiatives Lead the development and implementation of advanced environmental stewardship initiatives within the Hydro PSP plant, focusing on reducing environmental impact and promoting sustainability through innovative practices and technologies. Evaluate the effectiveness of environmental initiatives, making data-driven adjustments to improve outcomes, ensuring all activities are documented and reported to both internal and external stakeholders. Developing Reporting Frameworks Develop and oversee ESG reporting frameworks, ensuring they are robust, transparent, and aligned with industry standards and regulatory requirements. Create standardized reporting procedures for accurate and timely collection of ESG data across all departments. Ensure all ESG reports are comprehensive, providing insights into the plant s environmental, social, and governance performance, and use these reports to guide strategic decision-making and continuous improvement. Social Responsibility Programs Oversee the planning and execution of social responsibility programs aimed at improving the welfare of local communities and enhancing the plant s social impact. Identify key areas where the plant can make a positive difference, such as education, health, and infrastructure, and develop programs to address these needs. Ensure that social responsibility initiatives align with the overall ESG strategy and monitor impact through regular assessments and stakeholder feedback. Governance Structures and Processes Lead efforts to enhance governance structures and processes, ensuring they are robust, transparent, and aligned with best practices in corporate governance. Ensure all governance processes are well-documented, consistently applied, and communicated effectively to all relevant stakeholders. Contribute to the plant s overall operational integrity and ethical standards. Stakeholder Engagement Lead stakeholder relations efforts by developing and executing comprehensive engagement strategies for open, transparent, and proactive communication with all external stakeholders. Oversee the management of relationships with regulatory bodies, local communities, environmental organizations, and other key stakeholders. Ensure all stakeholder communications align with ESG objectives and that feedback is used to inform ongoing ESG initiatives and decision-making. Key Stakeholders Internal: Direct Supervisors & other Department Leaders Project Manager Engineering Head Finance Department HR Department Procurement Department Safety Officer IT Department Legal Department External: Government Regulatory Bodies Grid Authority Hydro Equipment Suppliers Land Owners Local Communities Environmental Consultants Financial Institutions Research Institutions Qualifications Educational Qualifications: Master's degree in Environmental Science, Environmental Engineering, or a related field. Certifications from the Indian Green Building Council (IGBC) or the National Environmental Engineering Research Institute (NEERI) in environmental management or sustainability. Work Experience: 12+ years of experience in environmental management or sustainability roles, preferably in the renewable energy or infrastructure sector. Proven track record in developing and implementing ESG strategies, conducting environmental impact assessments, and ensuring regulatory compliance. Strong understanding of environmental regulations, social responsibility standards, and governance frameworks. Qualification : Master's degree in Environmental Science, Environmental Engineering, or a related field.

AI Developer Key Responsibilities: AI Development & Integration: Develop and enhance AI-driven solutions using platforms such as Claude.ai, Perplexity.ai, and other Anthropics-powered tools. Integrate AI features into EdTech platforms, supporting personalized learning, adaptive content, and intelligent tutoring systems. EdTech Solutions Development: Design AI applications tailored for the education sector, including virtual tutors, automated assessments, and recommendation engines. Collaborate with educators and curriculum designers to align AI functionalities with educational objectives. Model Training & Fine-Tuning: Train and fine-tune large language models (LLMs) to ensure they meet the specific needs of the education sector. Apply transfer learning to adapt general-purpose models for educational applications. AI Tool Utilization: Utilize Claude.ai, Perplexity.ai, and other emerging Anthropics technologies to develop interactive learning solutions and data-driven insights. Experiment with new AI features to continuously enhance platform capabilities. Research & Innovation: Stay updated on AI and EdTech trends to implement cutting-edge solutions. Conduct research to identify how advanced AI tools can address educational challenges and improve learning outcomes. Collaboration & Stakeholder Engagement: Work closely with product managers, UX designers, and other development teams to deliver AI-powered features for EdTech platforms. Communicate complex AI concepts to both technical and non-technical stakeholders in a clear and concise manner. Requirements: Education: Bachelor s or Master s degree in Computer Science, Artificial Intelligence, Machine Learning, or a related field. A Ph.D. is a plus. Technical Skills: Extensive experience with Claude.ai, Perplexity.ai, and other Anthropics systems. Strong proficiency in Python and familiarity with AI frameworks such as TensorFlow, PyTorch, and Hugging Face. Solid understanding of natural language processing (NLP), transformer-based models, and large language models (LLMs). Experience with API integrations and deploying AI/ML models in production environments. EdTech Experience: Proven track record of developing AI solutions for educational platforms. Familiarity with challenges in EdTech, including data privacy (e.g., FERPA, GDPR), accessibility, and scalability. Soft Skills: Strong analytical and problem-solving abilities. Excellent communication skills to explain AI concepts to both technical and non-technical audiences. Collaborative mindset with a passion for leveraging AI to improve education. Preferred Experience: Experience with adaptive learning systems, gamification, or AI-powered chatbots in education. Familiarity with cloud platforms such as AWS, GCP, or Azure. Experience working on projects that involve real-time AI integrations. Qualification : Bachelors or Masters degree in Computer Science, Artificial Intelligence, Machine Learning, or a related field. A Ph.D. is a plus.

Data Scientist Roles and Responsibilities: Data Mining & Extraction: Extract valuable, usable data from various data sources to support business objectives and analytic systems development. Machine Learning & Model Optimization: Utilize machine learning techniques to select relevant features, build, and optimize classifiers for data analysis. Data Preprocessing & Cleansing: Perform preprocessing tasks on both structured and unstructured data to prepare it for in-depth analysis, ensuring its quality and accuracy. Enhancing Data Collection: Improve data collection procedures to capture all necessary information, enabling the development of robust analytic systems. Data Validation & Integrity: Cleanse and validate data to ensure its integrity, making it suitable for analysis and predictive modeling. Pattern Analysis & Solution Development: Analyze large datasets to identify patterns and develop insights, helping to solve complex business problems. Prediction & Algorithm Development: Design and develop predictive systems and machine learning algorithms to deliver actionable insights and support decision-making. Result Presentation: Communicate findings and insights clearly to both technical and non-technical stakeholders, ensuring understanding and adoption. Solution Proposal & Strategy Development: Propose innovative solutions and strategies to tackle business challenges, driving data-driven decisions. Collaboration with Teams: Work closely with Business and IT teams to align data science initiatives with organizational goals and ensure seamless integration with existing systems. Requirements: Educational Background: Bachelor s or Master s degree in Computer Science, Engineering, or a related field. Experience & Leadership: Proven experience leading data architecture projects and teams, with a strong track record of delivering data-driven solutions. Communication & Collaboration Skills: Excellent communication, collaboration, and interpersonal skills, with the ability to effectively convey technical concepts to various audiences. Adaptability: Ability to thrive in a fast-paced, dynamic environment, managing multiple priorities and deadlines effectively. Qualification : Bachelors or Masters degree in Computer Science, Engineering, or a related field.

Quality Analyst Location: Ahmedabad Job Overview: We are looking for a dedicated Quality Analyst to join our team. This role is responsible for ensuring the quality of our applications by following written procedures and inspection criteria. The ideal candidate will have a keen eye for detail, excellent communication skills, and a passion for problem-solving. You will be involved in the creation and execution of test plans and test cases, ensuring that the final product meets functional and design specifications. Primary Responsibilities: Test Plan Development & Test Case Design: Identify test requirements from specifications and design a test coverage plan. Develop, document, and maintain functional test cases and other test artifacts, such as test data, data validation, harness scripts, and automated scripts. Ensure that all test cases meet the specifications and align with coding standards. Test Execution & Reporting: Execute tests and deliver timely QA reports with detailed findings. Focus on meeting deadlines and delivering high-quality tests, ensuring quick identification of defects and bugs. Review & Collaboration: Hold and facilitate test plan/case reviews with cross-functional team members to ensure the quality of the product. Work closely with development, project management, and customer support teams to facilitate smooth testing processes. Ensure Compliance with Specifications: Validate that all deliverables meet functional and design specifications and requirements. Liaise with the development team to communicate bugs and issues found during testing. Problem Solving: Apply creative and technical problem-solving skills to translate requirements into effective test plans. Identify and resolve issues that arise during testing and help improve the product's overall quality. Experience Requirements: Test Case Development & Test Planning: Experience in identifying test requirements from specifications, designing test coverage plans, and developing detailed test cases. Functional Testing & Documentation: Proven ability to document and maintain functional test cases and other necessary test artifacts like test data, harness scripts, and automated scripts. Collaboration & Communication Skills: Strong verbal and written communication skills to ensure clear documentation of test plans, test cases, and bug reports. Comfortable liaising with cross-functional teams, including developers, project managers, and customer support. Problem Solving & Technical Skills: Ability to creatively solve technical problems, ensuring that testing efforts are aligned with product requirements and functionality. Attention to Detail & Focus on Deadlines: Ability to find defects quickly and ensure that deadlines for test execution and reporting are met. Qualifications: Bachelor's degree in Computer Science or a related field, or equivalent experience. Previous experience in a Quality Analyst or Software Testing role. Strong understanding of test case development, test plans, and functional testing. Experience with automated testing scripts and test data management is a plus. Excellent problem-solving and analytical skills. If you have a strong passion for quality assurance and enjoy working in a collaborative environment, we encourage you to apply for this opportunity to ensure the success of our product testing efforts. Qualification : Bachelor's degree in Computer Science or a related field, or equivalent experience.

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

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.

Job Title: SaaS Business Analyst Location: Ahmedabad, India Job Type: Full-time About Rapidops: Rapidops Inc. is one of the fastest-growing digital products and software companies in the USA. At Rapidops, we re passionate about enabling companies and individuals to thrive in their work. We partner with leading companies of all sizes and shapes to help transform their businesses and industries with our advanced digital products, software, and services. Our products touch millions of lives daily, solve tough problems, and help to make the world a better place. And there s a lot more to build. About the Role: We are seeking a SaaS Business Analyst with strong eCommerce and CMS experience to help shape and enhance our AI-powered Digital Experience Platform (DXP), Experro. Experro is a software-as-a-service (SaaS) product used by eCommerce brands to deliver blazing-fast, personalized, and high-converting customer experiences. In this role, you will collaborate with product, engineering, and customer-facing teams to translate business goals into actionable requirements. You ll leverage your knowledge of eCommerce platforms (Shopify, BigCommerce, Magento) and CMS/Customer Data Platforms to drive product improvements, enhance user experiences, and influence the product roadmap with data-driven insights. Key Responsibilities: Requirements & Analysis: Gather and document business requirements, user stories, and acceptance criteria for new features, improvements, and product offerings on the Experro platform. Market & Customer Insight: Stay informed on industry trends, competitor offerings, and customer feedback. Translate findings into recommendations that enhance engagement, conversion rates, and user satisfaction. E-Commerce & CMS Expertise: Use your domain knowledge of eCommerce platforms (e.g., Magento, BigCommerce, Shopify) to shape product features and workflows that align with best practices for online stores, content management, and personalized experiences. Product Design Collaboration: Work closely with UX/UI designers to translate the written requirements into accurate feature designs. Cross-Functional Collaboration: Work closely with Leadership, Product, Engineering, and Customer Success teams to ensure alignment, validate features, and address user challenges. Data-Driven Decisions: Use analytics and reporting tools to identify opportunities for improvement, refine features, and continuously enhance the platform s performance and usability. Qualifications: Educational Background: Bachelor s degree in Business, Computer Science, or a related field. Experience: 3+ years of experience as a Business Analyst (or similar role) with hands-on experience in at least one eCommerce platform (e.g., Shopify, BigCommerce, Magento). Familiarity with CMS and Customer Data Platforms is a plus. Research Skills: Strong ability to research new innovations, concepts, competitors, customer needs, and market trends, and translate them into product feature and improvement ideas. Analytical & Technical Skills: Comfortable with APIs, integrations, and standard analytics tools. Ability to translate data into actionable insights. Communication & Collaboration: Clear and concise communicator who can bridge the gap between technical and non-technical teams. Adaptability: Thrive in a fast-paced environment, quickly adjusting to evolving priorities and changing market demands. Innovation: Be a part of a rapidly growing company at the forefront of digital product development and innovation. Impact: Work on products that transform industries and make a positive impact globally. Collaborative Culture: Join a passionate and dynamic team where ideas are valued and collaboration is key. Career Growth: Rapidops offers opportunities for personal and professional development in a fast-paced, high-reward environment. Qualification : Bachelors degree in Business, Computer Science, or a related field.

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.

Technical Skills: Strong experience in Python, R, or Scala for data analysis and modeling. Proficiency in machine learning frameworks like TensorFlow, PyTorch, or Scikit-learn. Strong command on NLP domain models. Hands-on expertise with time-series forecasting techniques (e.g., ARIMA, LSTM, GRU), building CICD pipeline and model monitoring system. Experience working with large datasets and distributed computing tools (Hadoop, Spark). Optimize and fine-tune models for performance, accuracy, and scalability. Experience in reinforcement learning or online learning techniques. Expertise in handling large-scale datasets, using tools like Pandas, NumPy, and SQL. Knowledge of cryptocurrency markets, blockchain, and financial modeling. Proficiency in cloud platforms like AWS, GCP, or Azure for deploying machine learning models.

Requirements: Good knowledge of Python with a minimum of 2+ years of experience. Strong understanding of various Python libraries, APIs, and toolkits. Experience or understanding of working in Web 3.0. Proficient in Django, Django REST Framework, and Flask framework. Understanding of AWS Serverless implementation using Lambda and API Gateway. Hands-on experience with databases like MySQL and PostgreSQL. Proficient in NoSQL document databases, especially MongoDB and Redis. Strong knowledge of Data Structures and Algorithms. Thorough understanding of version control system concepts, especially Git. Understanding of the whole web stack and how all the pieces fit together (front-end, database, network layer, etc.) and their impact on application performance. Excellent understanding of MVC and OOP; bonus for understanding prevalent design patterns. Excellent debugging and optimization skills. Job Responsibilities: Build robust, scalable, and maintainable applications. Debug, fix bugs, identify performance issues, and improve app performance. Continuously discover, evaluate, and implement new technologies to maximize development efficiency. Handle complex technical issues related to web app development and discuss solutions with the team. Develop, deploy, and maintain multistage, multi-tier applications. Write high-performing code and participate in key architectural decisions. Execute projects and interact with clients. Implement Scrum methodologies.

Primary Skills: Python, Django, FastAPI, REST, AWS. Key Responsibilities: Design, develop, and maintain web applications using Python and the Django framework. Implement RESTful APIs and integrate them with front-end components. Utilize Flask/FastAPI for specific projects or microservices as needed. Write efficient, reusable, and testable code. Collaborate with front-end developers, designers, and other stakeholders to create seamless user experiences. Optimize applications for maximum speed and scalability. Troubleshoot and debug applications to ensure optimal performance. Deploy and manage applications on AWS, leveraging its services for scalability and performance. Stay updated with the latest industry trends and technologies to continuously improve skills and enhance the development process. Preferred Skills: Excellent problem-solving skills and attention to detail. Strong communication and collaboration abilities. Ability to work independently and manage multiple tasks effectively. Experience with additional frameworks and libraries (e.g., FastAPI, Pyramid). Experience in Cloud services. Familiarity with containerization technologies like Docker.

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.

Job Title: Technical Lead - MERN Stack Job Summary We are looking for a Technical Lead with expertise in the MERN Stack (MongoDB, Express.js, React.js, Node.js) to lead the design, development, and maintenance of scalable web applications. The successful candidate will manage databases, optimize applications for performance and scalability, and ensure seamless software delivery. As a technical mentor, you will guide junior developers and collaborate with cross-functional teams to meet business requirements. Key Responsibilities Design and Development: Lead the design, development, and maintenance of scalable web applications using MERN Stack (MongoDB, Express.js, React.js, Node.js). Architect, optimize, and manage databases like MySQL, PostgreSQL, and MongoDB. Troubleshoot complex issues and provide innovative solutions to improve system performance. Cloud Deployment & Optimization: Deploy, monitor, and optimize applications on AWS (or other cloud platforms) for security and scalability. Collaboration & Leadership: Collaborate with Project Managers, Business Analysts, and UI/UX teams to ensure the successful delivery of software projects. Provide technical leadership and mentor junior developers, ensuring adherence to best coding practices and fostering professional growth. Version Control & CI/CD: Ensure version control and streamline development processes using Git, Docker, and CI/CD pipelines. AI Integration: Stay ahead with AI technologies and explore their integration into development solutions to improve functionality and performance. Skills Required Proficiency in MERN Stack: MongoDB, Express.js, React.js, Node.js. Experience with databases like MySQL, PostgreSQL, and MongoDB. Strong knowledge of cloud platforms, particularly AWS. Familiarity with Git, Docker, and CI/CD pipelines. Ability to troubleshoot complex issues and optimize system performance. Knowledge of AI technologies and their potential applications in web development. Leadership skills and ability to mentor junior developers. Qualifications Any Graduate (Preferably in Computer Science or related field). Qualification : Any Graduate (Preferably in Computer Science or related field).

Roles and Responsibilities Design and implement cloud-native architectures using Docker and Kubernetes to enhance application scalability, manageability, and reliability. Develop and manage comprehensive infrastructure architectures that support both current and evolving business needs. Lead the integration of AI/ML technologies within the cloud infrastructure to foster innovative, efficient business solutions. Implement serverless architectures to simplify operations and improve cost efficiencies. Direct the deployment of service meshes to manage service-to-service communications within containerized infrastructures, enhancing security, observability, and reliability. Establish and maintain immutable infrastructure to ensure consistent and reliable environments across development, testing, and production. Govern the team of cloud architects and engineers, promoting a culture of high performance and continuous skill enhancement. Engage with company stakeholders to ensure that cloud strategies align with overall business objectives and drive key business metrics. Keep abreast of emerging trends in cloud technology, including service meshes, immutable infrastructure, and container orchestration, and assess their impact on business strategies. Lead cloud governance, compliance, and risk management initiatives to safeguard data and comply with regulatory standards. Manage financial aspects of cloud projects, including budgeting, cost projections, and optimization efforts. Requirements Bachelor's or Master's degree in Computer Science, Engineering, or related field. Proven track record of success in leading cloud architecture projects and teams. Excellent communication, collaboration, and interpersonal skills. Ability to thrive in a fast-paced, dynamic environment and manage multiple priorities effectively. Qualification : Bachelor's or Master's degree in Computer Science, Engineering, or related field.

Position: Data Science Architect Job Summary: We are seeking an experienced Data Science Architect to lead our data-driven initiatives, design scalable architectures, and drive AI/ML strategies. The ideal candidate will have deep expertise in data science, machine learning, cloud technologies, and big data frameworks. Key Responsibilities: Design and implement scalable data science architectures to support advanced analytics, AI, and ML models. Lead the end-to-end data pipeline development, including data ingestion, transformation, feature engineering, and model deployment. Collaborate with engineering, product, and business teams to define data strategies and align them with business goals. Provide thought leadership on best practices, emerging technologies, and AI/ML trends. Optimize and scale AI/ML models for real-time and batch processing use cases. Ensure compliance with data governance, security, and regulatory standards. Develop and mentor a team of data scientists and engineers to enhance overall capability and efficiency. Required Skills and Qualifications: Strong programming skills in Python. Experience with ML frameworks (TensorFlow, PyTorch, Scikit-learn, etc.). Knowledge of MLOps, CI/CD, and Model Deployment. Experience with Databases (SQL, NoSQL) and Data Warehouses (Redshift, BigQuery, Snowflake, etc.). Excellent problem-solving and analytical skills. Strong communication and stakeholder management abilities. Ability to lead and mentor teams. If you are a skilled Data Science Architect passionate about driving AI/ML initiatives and building scalable data solutions, we invite you to apply and join our innovative team! Qualification : BE/B.Tech/M.Tech

About the Team: The Translations Department operates within the Documents Insights & Services domain of the Market Intelligence division at S&P Global. This team is responsible for ensuring the timely and accurate translation of content to support both financial and non-financial data collection teams across the division. The department also supports translation needs for various other divisions within the organization. As part of the team, you will be exposed to cutting-edge translation tools and will engage in frequent interactions with global teams, offering valuable insights into industry dynamics, cultural diversity, and the cultivation of a collaborative work environment. The Impact: In this role, you will lead a team of 16 to 18 associates, contributing significantly to the achievement of departmental and organizational goals. You will work closely with your manager to drive initiatives related to translation operations, ensuring that the team delivers high-quality results while adhering to company policies and guidelines. This role provides an opportunity to lead by example, embrace change, and manage communication effectively across diverse teams, supporting the continuous development of your team members and fostering a high-performance culture. What s in it for You: Exposure to Global Operations: Join a large and growing translation operations team, with over 300 employees spread across 7 operating sites, utilizing state-of-the-art tools and processes. Cross-Functional Collaboration: Work with multicultural teams based in Ahmedabad, Hyderabad, Islamabad, Manila, South Korea, Malaysia, and Buenos Aires, aligning with global objectives. Skill Development: Gain broad exposure to various data collection processes within S&P Global, with a focus on translation services required across the organization. Key Responsibilities: Team Leadership: Lead and manage a team of 16 to 18 associates, ensuring optimal performance in the data extraction process from multiple sources, tools, and documents. Process Management: Oversee day-to-day workflow management, ensuring that team members meet operational targets and maintain high accuracy and efficiency in their work. Compliance & Quality Assurance: Ensure team members adhere to company guidelines, policies, and research tools while maintaining compliance in data/information collection processes. Performance & Development: Manage performance reviews, provide coaching, and lead talent development initiatives. Support individual career growth through personalized feedback and training. Stakeholder Engagement: Serve as a point of contact for internal and external clients, ensuring smooth communication and the successful execution of translation and data enhancement projects. Delegation & Resource Planning: Identify individual strengths within the team to allocate tasks effectively, and plan resource requirements to meet business needs while ensuring continuity of operations. What We re Looking For: Functional and Business Knowledge: Strong understanding of operations principles, business and data/content management, and operational workflows. Familiarity with relational database concepts and translation tools, with the ability to leverage these for operational success. Problem-Solving & Project Management: Ability to resolve complex issues within operations and manage projects from inception to completion. Strong conflict and change management skills, with the capacity to perform under pressure and make well-informed decisions. Client and Stakeholder Management: Maintain productive relationships with international clients, ensuring the successful delivery of services. Understand client needs and manage expectations while communicating efficiently and effectively. People Development & Performance Management: Lead team performance management, provide coaching and support, and identify development needs. Set clear goals, provide ongoing training, and foster an environment of continuous improvement. Required Skills & Qualifications: Excellent Communication: Proficient in both written and spoken communication, with the ability to engage with global teams and stakeholders effectively. Leadership and Interpersonal Skills: Strong team leadership abilities, with a focus on building relationships and fostering a collaborative team culture. Analytical & Decision-Making Abilities: Strong analytical thinking, decision-making skills, and attention to detail. Technical Proficiency: Intermediate knowledge of Microsoft Access, SQL, and advanced Microsoft Excel skills. Familiarity with RPA, Machine Learning, and Lean/Six Sigma methodologies is preferred. Flexible Work Schedule: Ability to work in rotational or night shifts as needed. Preferred Qualifications: Postgraduate degree in Commerce, Business Administration, or Management. Bachelor's or Master's Degree in Computer Science. Qualification : Bachelor's or Master's Degree in Computer Science.