Technical Lead AI ML Jobs in Ahmedabad

Hardware Technical Lead Location: Ahmedabad Job Type: Full-Time Category: Embedded Solutions Job Summary We are looking for an experienced and motivated Hardware Technical Lead to lead our expanding Product Engineering Services team focused on industrial applications. While the primary emphasis is on industrial-grade systems, experience in avionics, automotive, or medical electronics is highly desirable. This leadership role entails overseeing end-to-end hardware development, managing a team of engineers, and driving high-quality project execution, while also fostering team growth through hiring and mentoring. Key Responsibilities Lead and manage a team of 8 10 hardware engineers across multiple projects. Guide the design and development of reliable hardware systems tailored for industrial applications. Ensure compliance with design standards, industry regulations (FCC, CE, MIL-STD, DO-160), and project-specific quality objectives. Own technical delivery from concept through deployment, meeting project timelines, budgets, and specifications. Collaborate closely with software, mechanical, and systems engineering teams to ensure seamless product integration. Conduct technical reviews, design audits, and system validation activities. Drive continuous improvement in hardware design methodologies and development processes. Establish and enforce best practices for design documentation, configuration management, and version control. Play an integral role in hiring, onboarding, and mentoring engineers. Support project managers with technical planning, risk management, and resource allocation. Stay informed on emerging technologies and assess their potential for project enhancement. Qualifications Bachelor s or Master s degree in Electronics, Electrical Engineering, or related discipline. 10+ years of hands-on hardware development experience, including at least 3 years in a leadership role. Strong expertise in industrial-grade hardware design (power electronics, embedded platforms, control systems). Experience in avionics, automotive, or medical electronics is a significant advantage. Proficiency in schematic capture and PCB design tools such as Altium Designer, OrCAD, or KiCAD. Familiarity with embedded systems, microcontrollers, System on Modules (SoMs), and high-speed digital designs. Solid understanding of compliance and qualification standards (MIL-STD, DO-160, FCC). Proven leadership and mentoring capabilities. Excellent communication and technical documentation skills. Benefits Lead and grow a high-performing hardware engineering team. Work on diverse, innovative projects spanning industrial, avionics, and consumer sectors. Gain exposure to global engineering standards and best practices. Competitive compensation package and comprehensive benefits. Opportunities for professional growth through leadership, innovation, and continuous learning. If you re a driven hardware engineer ready to lead and innovate in the smart industrial product space, we encourage you to apply and join our core engineering team. Qualification : Bachelors or Masters degree in Electronics, Electrical Engineering, or related discipline

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.

Sr. Software Engineer | AI & Cloud Technologies | Generative AI | NLP | Ahmedabad Location: Ahmedabad Reports to: Director, Software Engineering Experience: 5+ Years Tech Stack: Generative AI, NLP, Deep Learning, Cloud (AWS, Azure, GCP), Docker, Kubernetes, CI/CD About Conga At Conga, we are committed to creating a thriving environment where innovation, team growth, and open communication are at the heart of everything we do. We simplify complexity for our customers by aligning teams, processes, and technologies to deliver transformational revenue growth. Our mission is to optimize the Revenue Lifecycle Management process, helping businesses achieve sustainable growth and maximize customer lifetime value. Conga's approach to business is grounded in The Conga Way, a set of values shaped by direct input from our colleagues. Job Overview: Sr. Software Engineer - AI & Cloud Technologies As a Senior Software Engineer at Conga in Ahmedabad, you will play a critical role in building next-generation products focused on AI models, NLP, and cloud technologies. In this role, you ll serve as a subject matter expert in AI, building scalable systems that support Conga s Cloud Revenue Lifecycle Management platform. You will collaborate closely with cross-functional teams, ensuring your solutions meet business needs and drive the future of Conga's AI-powered products. Why It s a Big Deal Your contributions as a Senior Software Engineer will directly impact the development of scalable AI components and cloud-based solutions for Conga s product offerings. This role is ideal for someone passionate about building and deploying cutting-edge AI models, especially those utilizing Generative AI and NLP. You will have the chance to tackle complex challenges and create meaningful solutions that optimize critical business workflows for Conga s customers. Key Responsibilities: AI Model Development: Design, develop, and deploy Generative AI models, including Natural Language Processing (NLP) and Deep Learning models. Fine-tune LLMs (such as GPT-4, BERT, Llama) to meet specific business needs. AI Pipelines: Build and maintain RAG (Retrieval-Augmented Generation) pipelines, integrating external data with AI models to enhance document processing. Cloud & Deployment: Architect and deploy AI solutions within AWS or Azure cloud environments, leveraging Docker and Kubernetes for containerization and cloud deployment. Microservices Architecture: Design and develop reusable components, microservices, and APIs that enable seamless integration with other Conga products and platforms. Cross-functional Collaboration: Work closely with product managers, engineers, and stakeholders to translate business requirements into technical solutions. Communicate complex technical concepts effectively to all stakeholders. Agile Development: Participate in Agile sprints and collaborate with team members to ensure successful project delivery, from initial concept to deployment. Qualifications: 5+ years of experience in developing AI models, including NLP, Generative AI, and Deep Learning. Hands-on experience with LLMs such as GPT-4, BERT, Llama, with practical experience in fine-tuning and deploying these models for business use cases. Experience in building and maintaining RAG pipelines for enhancing document and data analysis capabilities. Proficiency with cloud technologies (AWS, Azure, GCP) and understanding of cloud architecture and cloud design patterns. Expertise in containerization tools (Docker, Kubernetes) and CI/CD pipelines. Strong knowledge of microservices and API development. Bachelor's degree in Engineering or related field (advanced degrees are a plus). What Will Give You an Edge: Effective Communication: You excel at initiating and driving discussions, translating complex AI solutions into actionable business value. Proactive & Entrepreneurial: You take the initiative to propose new projects that improve team performance and solve complex challenges. Passionate Problem Solver: Self-driven, you enjoy solving complex technical challenges and are dedicated to delivering high-quality, scalable solutions. Mentorship: You will be a mentor for junior engineers, helping them grow and fostering a collaborative, innovative environment. What We Offer: Dynamic and inclusive culture where innovation is encouraged and every voice matters. Opportunities to work with cutting-edge technologies like Generative AI, NLP, and Cloud computing. Agile development environment that values creativity and technical expertise. Collaborative work culture where you can contribute ideas and solve impactful business problems. Qualification : Bachelor's degree in Engineering or related field (advanced degrees are 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.

Position: Senior Engineer/Technical Lead (DevOps Engineer - Azure) Job Description: Key Responsibilities: Azure Cloud Management: Design, deploy, and manage Azure cloud environments. Ensure optimal performance, scalability, and security of cloud resources using services like Azure Virtual Machines, Azure Kubernetes Service (AKS), Azure App Services, Azure Functions, Azure Storage, and Azure SQL Database. Automation & Configuration Management: Use Ansible for configuration management and automation of infrastructure tasks. Implement Infrastructure as Code (IaC) using Azure Resource Manager (ARM) templates or Terraform. Containerization: Implement and manage Docker containers. Develop and maintain Dockerfiles and container orchestration strategies with Azure Kubernetes Service (AKS) or Azure Container Instances. Server Administration: Administer and manage Linux servers. Perform routine maintenance, updates, and troubleshooting. Scripting: Develop and maintain Shell scripts to automate routine tasks and processes. Helm Charts: Create and manage Helm charts for deploying and managing applications on Kubernetes clusters. Monitoring & Alerting: Implement and configure Prometheus and Grafana for monitoring and visualization of metrics. Use Azure Monitor and Azure Application Insights for comprehensive monitoring, logging, and diagnostics. Networking: Configure and manage Azure networking components such as Virtual Networks, Network Security Groups (NSGs), Azure Load Balancer, and Azure Application Gateway. Security & Compliance: Implement and manage Azure Security Center and Azure Policy to ensure compliance and security best practices. Required Skills and Qualifications: Experience: 5+ years of experience in cloud operations, with a focus on Azure. Azure Expertise: In-depth knowledge of Azure services, including Azure Virtual Machines, Azure Kubernetes Service, Azure App Services, Azure Functions, Azure Storage, Azure SQL Database, Azure Monitor, Azure Application Insights, and Azure Security Center. Automation Tools: Proficiency in Ansible for configuration management and automation. Experience with Infrastructure as Code (IaC) tools like ARM templates or Terraform. Containerization: Hands-on experience with Docker for containerization and container management. Linux Administration: Solid experience in Linux server administration, including installation, configuration, and troubleshooting. Scripting: Strong Shell scripting skills for automation and task management. Helm Charts: Experience with Helm charts for Kubernetes deployments. Monitoring Tools: Familiarity with Prometheus and Grafana for metrics collection and visualization. Networking: Experience with Azure networking components and configurations. Problem-Solving: Strong analytical and problem-solving skills, with the ability to troubleshoot complex issues. Communication: Excellent communication skills, both written and verbal, with the ability to work effectively in a team environment. Preferred Qualifications: Certifications: Azure certifications (e.g., Azure Administrator Associate, Azure Solutions Architect) are a plus. Additional Tools: Experience with other cloud platforms (AWS, GCP) or tools (Kubernetes, Terraform) is beneficial. Location: IN-GJ-Ahmedabad, India-Ognaj (eInfochips) Time Type: Full time Job Category: Engineering Services "

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

Position: Senior Engineer / Technical Lead (C, Linux, Yocto) Job Overview: We are seeking a highly skilled Senior Engineer / Technical Lead to join our team, specializing in embedded firmware development for Linux-based products. You will be responsible for collaborating with customers, designing product architecture, and leading the development and porting of software for hardware bring-up. This role also involves working in an Agile environment, conducting code reviews, and ensuring high-quality documentation for firmware implementations. Key Responsibilities: Collaborate with customers to understand product requirements, and create detailed requirement documents. Design and document product architecture, ensuring it meets both customer and technical requirements. Work on Linux platforms for hardware bring-up and porting, ensuring seamless integration. Conduct thorough code reviews to maintain high coding standards and ensure quality. Coordinate and collaborate with the onsite development team to align on project tasks. Participate in Agile sprints, working with the scrum team to allocate work and ensure smooth collaboration. Review software implementations across various firmware components, ensuring alignment with architectural guidelines. Update and maintain software documentation, including architecture, interfaces, and design details. Participate in design reviews with the extended software team, ensuring documentation meets all requirements. Collaborate closely with customers at customer sites, ensuring timely and effective delivery of firmware solutions. Required Skills & Experience: Extensive experience in embedded firmware development for Intrusion, Fire Safety, and Home Automation products. Strong background in Linux-based firmware development with expertise in C and Yocto. Proactive, accountable, and able to independently manage project requirements without constant supervision. Strong analytical and debugging skills to root-cause problems and provide solutions. Excellent communication, documentation, and organizational skills for effective collaboration and task management. Experience working in Agile environments, actively participating in scrum and sprint activities. Locations: Bangalore, Ahmedabad, Pune, Indore (India) 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: 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.

Sr. Salesforce Developer We are seeking a skilled Senior Salesforce Developer to design and build custom applications on the Salesforce platform. As a key member of our team, you will: Design and develop custom solutions using Apex, Visualforce, and Lightning. Collaborate with stakeholders to gather business requirements and deliver tailored solutions. Perform thorough testing and debugging to ensure high-quality and efficient code. Participate in code reviews, ensuring adherence to best practices and coding standards. Document technical processes, applications, and configurations to maintain clarity and consistency. Partner with Salesforce administrators to ensure seamless application functionality. Stay current with the latest Salesforce developments and industry best practices.

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).

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

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.

Job Title: MS Dynamics CRM Technical Lead Experience: 10+ Years (Minimum 6+ Years in Microsoft Dynamics CRM) Role Description We are seeking an experienced MS Dynamics CRM Technical Lead to oversee the technical direction of Microsoft Dynamics CRM development projects. This role involves working closely with clients, CRM Consultants, Project Managers, and development teams to scope, estimate, customize, and deliver high-quality solutions. The ideal candidate will have strong leadership skills and deep technical expertise in Microsoft Dynamics CRM, .NET technologies, and integration tools. Primary Responsibilities Lead and manage the technical aspects of Microsoft Dynamics CRM projects. Customize Dynamics CRM and develop reports based on business requirements. Implement data migration and integration using Dynamics CRM tools. Provide technical expertise on Dynamics CRM and Microsoft development environments. Ensure adherence to development best practices and document technical artifacts. Participate in the design process and deliver detailed design specifications. Collaborate with clients and manage coordination for successful project delivery. Ensure timely project delivery while maintaining high-quality standards. Participate in all phases of the System Development Life Cycle (SDLC). Required Skills & Experience 10+ years of experience, with at least 6+ years in Microsoft Dynamics CRM. Expertise in C# .NET, Visual Studio, JavaScript, and CRM SDK. Experience in two or more areas of .NET (Web/Windows Forms) development. Hands-on experience with Power Apps and Power Automate. Proven experience with Web API/Web Services integration. Strong analytical and problem-solving skills. Excellent communication skills for client coordination and project leadership. Experience with at least three full-cycle CRM implementations. Ability to estimate CRM customizations, testing, and other project components.

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.

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.