AI Research 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: 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.

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.

Content Writer Core Content Writing Skills: SEO Knowledge: Strong understanding of SEO principles and ability to craft SEO-friendly content that ranks well on search engines. Content Creation: Skilled in writing engaging, informative, and well-researched blog posts and articles. Research: Ability to conduct in-depth research on industry topics, ensuring content is both informative and valuable. Keyword Optimization: Expertise in naturally incorporating relevant keywords into content to improve SEO without compromising readability. Editing & Proofreading: Strong editing and proofreading abilities to ensure content is error-free, polished, and meets quality standards. Leveraging AI Tools: Proficient in using AI tools like ChatGPT to generate content ideas, drafts, and enhance writing efficiency. Soft Skills: Creativity: Ability to generate fresh, innovative ideas for content topics that resonate with the target audience. Attention to Detail: Focused on producing accurate, high-quality content that is free from errors and aligns with brand voice and standards. Time Management: Strong organizational skills and ability to manage multiple writing tasks to meet deadlines consistently. Communication: Clear, concise, and effective written communication skills, ensuring content is both engaging and informative. Adaptability: Flexibility to adapt to changing content trends and shifting priorities, keeping the content strategy aligned with industry needs.

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.

We are looking for a Content Writer to join our editorial team and enrich with new blog posts, guides and marketing copy. JOB RESPONSIBILITIES: Write social media captions in line with the respective brands. Write guest posts for third-party sites. Work closely with designers and marketers to align content with the marketing objectives of the company. Coordinate with sales and other teams to understand their requirements and suggest new content ideas. Stay updated with industry trends, technologies, and content marketing strategies. Edit and Proofread content written by other team members to ensure clarity and error-free writing. Research and write high-quality, engaging, and informative content for website blogs and websites. Create marketing copies, email copy, and landing page copy of websites. Conduct keyword research and implement SEO best practices. Good Analytical Skills for competition research, latest happenings in the industry and pickup industry trends. Good understanding of software development technologies such as AI, Blockchain, IoT, etc. Edit and proofread the content of other writers to ensure error-free writing. Work closely with sales and marketing team to align content with brand voice. Share insights with fresher or freelance content writers. Stay updated with industry trends and content marketing updates. SKILLS REQUIRED: Bachelor s degree in English, Journalism, Communications, or a related field. 0.6 to 3 years of experience in content writing, preferably in the IT industry. Strong command of the English language with excellent writing and editing skills. Good knowledge of SEO, keyword research, and content marketing strategies. Ability to understand complex technical topics and translate them into easy-to-read content. A storyteller. Familiarity with content management systems (CMS) like Contentful and/or WordPress. A creative mindset with a keen eye for detail. Qualification : Bachelors degree in English, Journalism, Communications, or a related field.

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.

Position: Lead Generation & Sales Job Summary: We are looking for an experienced professional to drive lead generation, sales, and business development efforts at Rysun. This role will focus on meeting revenue goals, building strong client relationships, and managing the sales pipeline while executing strategies for growth in the ICT services domain. Key Responsibilities: Lead Generation & Sales: Revenue goals: Achieve US$ 2 million in revenue within one year. Lead generation: Generate leads through various channels like networking, cold calling, attending industry events, and following up on marketing qualified leads (MQLs). Client relationship building: Build strong relationships with potential and existing clients by understanding their needs and proposing solutions that address them. Sales pipeline management: Manage the sales pipeline by nurturing leads, qualifying them, and moving them through the sales cycle. Proposal development: Craft proposals and presentations that showcase the company s value proposition to potential clients. Sales strategy: Develop and implement a sales strategy to achieve or exceed pre-defined sales targets for ICT services in the defined region. Strategy & Planning: Develop growth plans: Create and implement strategies to achieve business development goals focused on revenue growth and market expansion. Market research: Research target markets, competitor activity, and emerging trends in the industry. Identify opportunities: Actively seek out new business opportunities, such as new markets, customer segments, partnerships, or service offerings. Partnering & Collaboration: Develop partnerships: Identify and establish strategic partnerships with businesses to expand reach, access new markets, or offer complementary solutions. Focus on partnerships with hyper scalers like Azure, AWS, and Google in defined geography. Internal collaboration: Collaborate with various internal departments like marketing, sales, presales/business analysis, technical delivery teams, and finance teams to ensure a cohesive approach to business development. What to sell & Whom to sell: What to sell: Primary focus on selling Data Analytics, AI, Product Engineering, Cloud Services, Managed Services, Technology Consulting, and Digital Transformation projects. Whom to sell: Target Small to Medium businesses and large enterprises requiring Rysun s technology services. Focus industries include Retail and Hitech. Reporting & Analysis: Track and report on performance: Track key metrics like the number of leads generated, conversion rates, and revenue from new clients. Participate in weekly, monthly, and quarterly review meetings. Analyze data and trends: Analyze data and market trends to identify areas for improvement and inform future business development strategies. Additional Responsibilities: Stay up to date: Continuously update knowledge about industry trends, competitor offerings, and company products/services. Presentations and pitches as required. Travel: International travel may be required. If you're driven by achieving sales targets, building lasting relationships, and working in a dynamic team environment, this is the perfect opportunity to make an impact! Qualification : Any Graduate

Job Responsibilities We are seeking an experienced Business Development Manager to drive growth and generate new opportunities across various industry verticals. You will be responsible for identifying potential clients, building relationships, and promoting our solutions in sectors such as Healthcare, E-learning, eCommerce, and FinTech. Key Responsibilities: Generate leads through bidding portals, social media, cold calling, emails, and other channels. Conduct business meetings and calls with prospective clients to understand their requirements. Provide consultation to clients in different industry verticals, including Healthcare, E-learning, eCommerce, and FinTech. Develop and execute a growth strategy focused on financial gain and customer satisfaction. Conduct market research to identify new markets and customer needs. Explore and develop new business opportunities, ensuring alignment with client objectives. Promote company products/services and offer customized solutions based on client requirements. Required Skills & Experience Bachelor s degree in business administration, sales, or a relevant field. 2+ years of experience in a software development company in a business development, sales, or similar role. Proven track record as a Business Development Manager or Sales Executive, with a successful sales record. Strong understanding of IT terminologies and emerging technologies. Excellent communication and interpersonal skills with the ability to build rapport and negotiate effectively. Experience with CRM software (e.g., Salesforce, Zoho, Bitrix24) and MS Office. Consulting experience in trending technologies such as Blockchain, AI, ML, AR/VR is a plus. Customer support experience is a bonus. Qualification : Bachelors degree in business administration, sales, or a relevant field.

About the Role: The Data Quality Measurement Team plays a key role in ensuring the accuracy, timeliness, and reliability of data used by various business units. As part of this team, the Data Content Manager will be responsible for overseeing and managing data quality activities, ensuring that data sets meet the highest standards set by the business or regulatory guidelines. The team is composed of highly skilled professionals who work together to mitigate regulatory and legal risks while delivering exceptional client experiences. The Impact: The role of the Data Content Manager has a wide-reaching impact, influencing decision-making, operational efficiency, customer satisfaction, compliance, and overall team performance. By maintaining high-quality data standards, the organization can derive greater value from its data and gain a competitive advantage. What You Stand to Gain: Professional Growth & Development: Opportunities for career advancement and skill diversification. Direct Impact on Decision-Making: Engage with market leaders, gain cultural exposure, and strengthen stakeholder management skills. Cutting-Edge Technologies & Practices: Exposure to the latest technology adoption and a culture of innovation. Key Responsibilities: Stakeholder Engagement: Work closely with stakeholders to define data quality requirements and usage needs for specific regions or business areas. Ownership of Data Quality: Lead the ongoing delivery of data quality measurement activities, with a focused concentration on a specific region or business area. Issue Identification & Remediation: Identify data quality issues, perform analysis, and escalate for resolution to ensure data accuracy and high quality. Testing & Data Audits: Perform testing on defined use cases for new technologies, deliver results, and identify sources of errors. Also, conduct data audits on new data vendors. Root Cause Analysis: Conduct root cause analysis on smaller data analysis tasks related to assigned or unfamiliar projects. Regulatory Compliance: Implement data quality processes to ensure S&P Ratings compliance with regulatory requirements. Data Querying & Correction: Perform data queries to identify and drive corrections of data inconsistencies. What We re Looking For: Experience: Typically 7-9 years of experience in a data role, with experience in a data quality role being advantageous. Technical Skills: Proficiency in technical tools such as Excel, SQL, Python, data extraction tools, and data visualization tools. Industry Knowledge: Good understanding of financial and market data, data cataloging, and AI technologies and their potential applications in data management. Data Requirements & Querying: Solid understanding of data requirements and intermediate-level data querying skills. Leadership: Ability to manage a team of 8-10 professionals effectively. Collaboration & Problem-Solving: Ability to communicate assumptions clearly, solicit feedback, and find ways to improve. Proactively manage issues and drive solutions. Project Understanding: Understand how individual tasks fit into the larger project and identify issues with requirements early. About S&P Global Ratings: At S&P Global Ratings, we provide independent, analyst-driven credit ratings, research, and sustainable finance opinions that help market participants make confident, data-driven decisions. By providing transparency and high-quality insights into creditworthiness, we enable growth across a wide range of organizations, including businesses, governments, and institutions. As a division of S&P Global, we are the world's leading provider of credit ratings, benchmarks, analytics, and workflow solutions in the global capital, commodity, and automotive markets. Our offerings help organizations navigate the economic landscape and plan for the future with confidence.

Data Miner Job Location : Ahmedabad, Gujarat Experience : 1 to 2 Years Roles and responsibilities : Key Responsibilities: Gather, clean, and preprocess data from various sources, including databases, CRM systems, and online platforms. Utilize data mining techniques to identify and qualify potential leads. Develop targeted lead lists based on demographic, firmographic, and behavioral data. Analyze market trends, customer behavior, and competitive landscape to uncover actionable insights and identify new lead opportunities. Create detailed reports and dashboards to present lead generation metrics, trends, and performance to stakeholders. Work closely with sales and marketing teams to align lead generation efforts with business objectives and campaigns. Apply your knowledge of data practices and market trends specific to the US, UK, and Europe to optimize lead generation strategies. Use data mining tools and software to perform data extraction, analysis, and lead qualification. Stay updated with industry trends, emerging tools, and best practices in data mining and lead generation to enhance processes and outcomes. Qualifications: 1-2 years of experience in data mining, lead generation, or a related field. Proficiency in data mining tools. Demonstrated ability to generate and qualify leads using data-driven methods. Strong analytical and problem-solving skills with attention to detail in data analysis and lead generation. Excellent written and verbal communication skills, with the ability to present data insights and lead generation results clearly and effectively. Bachelor s degree in Data Science, Marketing, Business Analytics, or a related field. Perks and Benefits: Healthy & Flexible Work Environment All Saturdays Off (5 Days Working) Performance based Incentive & employee friendly policies Attractive Awards, Festival Celebrations, Picnic, Birthday Celebrations etc. Unlimited opportunity to grow. Qualification : Bachelors degree in Data Science, Marketing, Business Analytics, or a related field.

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.

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.

Position: DGM / AGM Senior Analyst CEO Office Location: Ahmedabad Department: CEO Office / Strategy & Planning Experience Required: 12 14 Years Industry Preference: Real Estate or Infrastructure Role Overview: We are seeking a dynamic and highly analytical Senior Analyst (DGM/AGM Level) to join the CEO Office. This role will support high-impact decision-making through data-driven insights, financial modelling, and strategic planning. The ideal candidate will bring a strong background in business analytics, financial acumen, and stakeholder coordination, preferably with prior experience in real estate or infrastructure sectors. Key Responsibilities: Strategic Analysis & Business Planning Build and analyse comprehensive business and financial models to support investment decisions and long-term strategic planning. Provide actionable insights through post-project financial analysis, including cost optimization, revenue tracking, and ROI assessments. Track and report on key business metrics and performance indicators. Market Intelligence & Industry Research Stay updated with real estate industry trends, regulatory developments, and competitor analysis. Conduct research and gather relevant market intelligence to support executive decision-making. CEO Office Operations & Stakeholder Coordination Schedule and organize high-level meetings; prepare Minutes of Meeting (MoMs) and ensure timely follow-up on action items. Collaborate with internal departments and senior leadership to maintain task alignment using tools such as Microsoft Planner and MIS trackers. NFA (Note for Approval) Management Handle NFA approvals, including pre-assessment of financial and qualitative aspects of proposals. Ensure all proposals meet internal compliance and financial benchmarks before submission. MIS & Reporting Work closely with the CEO to create, manage, and monitor department-level MIS trackers. Conduct regular analysis to identify discrepancies or areas of concern, ensuring accurate and timely reporting. Qualifications: Education: Mandatory: BE/B.Tech in Civil or Mechanical Engineering from Premier Institutes Preferred: MBA in Finance or Strategy Certifications: Relevant certifications in financial modelling, business analytics, or project management are a plus. Required Skills: Technical Skills: Advanced proficiency in MS Excel, Microsoft Planner, PowerPoint, and other relevant analytical tools. Strong financial and business acumen with the ability to build and evaluate complex financial models. Knowledge of Standard Operating Procedures (SOPs) in the real estate or infrastructure domain. Behavioural Skills: Excellent written and verbal communication. Strong interpersonal and stakeholder management skills. High attention to detail, with a focus on accuracy and quality. Proactive problem-solver with a structured and analytical mindset. Why Join Us: This is an exciting opportunity to be part of a strategic team at Adani, working directly with the CEO on high-impact projects like Airport City-Side Development. You ll have the platform to shape critical decisions, influence operations at the highest levels, and grow in a fast-paced, dynamic environment. Qualification : BE/B.Tech in Civil or Mechanical Engineering from Premier Institutes

Business Development Executive Full-Time | Ahmedabad, India Location: Ahmedabad, Gujarat Employment Type: Full-Time | On-site Experience Required: 1 to 4 years Qualification: Any Graduate Salary: Competitive, based on experience Notice Period: Immediate joiners preferred Job Overview We are looking for a results-driven Business Development Executive to join our team in Ahmedabad. The ideal candidate will focus on lead generation, client acquisition, and revenue growth by engaging with new customers and expanding our business in international markets, particularly in the US and Canada. If you have a knack for cold calling and closing deals, this role offers an excellent opportunity to build a rewarding sales career. Key Responsibilities Identify and engage potential new customers through targeted lead generation and market research. Conduct effective cold calls to prospects, build rapport, and convert leads into business opportunities. Develop and nurture relationships with clients primarily in the US and Canadian markets. Collaborate closely with internal teams to ensure timely order closure and customer satisfaction. Explore and develop new business avenues to meet or exceed revenue targets. Drive business growth by bringing in new clients and expanding company presence. Achieve monthly and quarterly sales targets through persistent and strategic sales efforts. Required Skills & Qualifications 1 to 4 years of experience in business development, sales, or client acquisition roles. Strong communication skills with the ability to interact confidently with international clients, especially in US and Canada. Proven experience in cold calling, lead generation, and closing deals. Self-motivated with a target-driven mindset and excellent negotiation skills. Any graduate can apply; prior experience in IT or software sales is a plus. Ability to work independently and manage multiple sales pipelines effectively. Opportunity to work with a fast-growing company expanding in international markets. Gain valuable experience in global client engagement and sales strategies. Supportive team environment with growth and learning opportunities. Competitive compensation based on performance. Qualification : Any graduate can apply; prior experience in IT or software sales is a plus.

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: Technical Document Writer 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 is a lot more to build and transform. Job Overview: We are looking for an experienced Technical Document Writer to join our team. This role focuses on producing and maintaining high-quality technical documents that clarify our IT projects, systems, and processes. The ideal candidate will collaborate closely with technical teams to capture, structure, and convey information effectively to meet the needs of internal and external stakeholders. Key Responsibilities: Documentation Creation and Maintenance: Create, update, and maintain technical documentation such as system requirements, technical specifications, process workflows, API documentation, and user manuals. Collaboration with Teams: Work closely with development, QA, and product teams to understand project requirements and translate them into clear, concise documentation. Technical Guides and Release Notes: Develop technical guides, release notes, and training materials to support product releases and process improvements. Simplify Complex Concepts: Document complex IT concepts in a structured format that is accessible for various audiences, including non-technical stakeholders. Consistency and Accuracy: Ensure consistency and accuracy in all documentation, adhering to company standards and guidelines. Conduct Interviews with SMEs: Conduct interviews with subject matter experts (SMEs) to gather information and verify document content. Review and Edit Documentation: Review and edit technical documents prepared by other team members to ensure clarity, completeness, and accuracy. Stay Current on Industry Standards: Stay up-to-date on industry standards for technical writing to continually improve documentation quality and efficiency. Qualifications: Education: Bachelor s degree in Technical Writing, Computer Science, Information Technology, Communications, or a related field. Experience: 5+ years of proven experience in technical writing within the IT industry, preferably in software or system documentation. Technical Writing Tools: Proficient in technical writing tools such as MS Office, Confluence, JIRA, MadCap Flare, or similar documentation platforms. IT Knowledge: Strong understanding of IT concepts, SDLC (Software Development Life Cycle), and project management methodologies. Communication Skills: Excellent written and verbal communication skills with a keen eye for detail. Independent and Collaborative Work: Ability to work independently and collaboratively in a fast-paced environment. Innovation: Work with a rapidly growing company and help shape the future of digital products and software solutions. Career Growth: Opportunities for learning and advancing your career in technical writing and IT. Impact: Your documentation will help shape the success of our IT projects, influencing both internal and external stakeholders. Dynamic Environment: Be part of a highly collaborative and innovative team dedicated to building cutting-edge solutions. If you re an experienced Technical Document Writer with a passion for clarity and precision, we d love to have you as part of the Rapidops team. Join us in helping businesses across the globe transform and succeed! Qualification : Bachelors degree in Technical Writing, Computer Science, Information Technology, Communications, or a related field.