As a Data Analytics Trainer, you will be responsible for delivering engaging and informative training on various data analytics concepts and tools. You will guide learners through the process of analyzing, visualizing, and interpreting data, ensuring they develop the skills necessary to make data-driven decisions. Preference will be given to candidates with Data Science experience, including knowledge of machine learning and advanced data analysis techniques. Key Responsibilities: Training Delivery: Conduct interactive training sessions on topics including data collection, cleaning, analysis, and visualization using tools like Excel, SQL, Python, R, Tableau, Power BI, etc. Curriculum Development: Develop and update training materials and exercises that align with current industry trends and best practices. Learner Support: Offer guidance, feedback, and mentorship to help learners master key concepts and apply them effectively in their careers. Advanced Topics (Preferred): Provide optional or advanced training on machine learning, statistical modeling, and data science topics such as Python libraries (Pandas, NumPy, Scikit-learn) and TensorFlow. Assessment and Evaluation: Design and administer quizzes, tests, and assignments to track learner progress and provide feedback for improvement. Professional Development: Stay updated on the latest trends in data analytics and data science to improve your teaching and course content. Collaboration: Work closely with the training team to ensure seamless course delivery and contribute to the development of new programs. Qualifications: Educational Background: Bachelor's or Masters degree in Computer Science, Data Science, Mathematics, Statistics, or a related field. Experience: 2+ years of experience in data analytics. Experience in teaching or training is highly preferred. Data Science experience is a bonus! Technical Skills: Proficiency in tools such as Excel, SQL, Python, R, Tableau, Power BI, and machine learning libraries (e.g., Scikit-learn, TensorFlow). Strong Communication Skills: Ability to explain complex technical concepts clearly and engage learners. Teaching and Mentoring Skills: Strong presentation and mentoring abilities to help students understand and apply data analytics concepts. Certifications (Preferred): Data analytics or data science certifications (e.g., Google Data Analytics, Microsoft Certified: Data Analyst Associate) are a plus. Additional Preferred Skills: Experience with advanced analytics tools (Hadoop, Spark) or cloud platforms (AWS, Google Cloud). Ability to deliver both in-person and remote training. Familiarity with business applications of data analytics in industries such as healthcare, finance, and marketing.

Overview: We are seeking a dynamic and technically skilled AI/ML Lead to take ownership of machine learning and AI initiatives, driving innovation and delivering data-driven solutions. This role is ideal for someone with at least one year of hands-on experience in AI/ML, looking to step into a leadership role while still being actively involved in development and problem-solving. Key Responsibilities: Lead the design, development, and deployment of AI/ML models and solutions. Collaborate with product, engineering, and data teams to integrate AI models into business applications. Analyze large datasets to extract actionable insights and identify opportunities for AI-driven improvements. Evaluate, tune, and optimize model performance for real-world production use cases. Stay current with advancements in AI/ML technologies and recommend relevant tools and techniques. Mentor junior team members and contribute to the growth of the AI/ML team. Qualifications: Bachelor’s or master’s degree in computer science, Data Science, AI/ML, or a related field. Minimum 1 year of experience in machine learning or AI model development and deployment. Strong programming skills in Python and experience with ML libraries like scikit-learn, TensorFlow, PyTorch, or similar. Solid understanding of machine learning algorithms, data preprocessing, model training, and evaluation. Experience with version control (e.g., Git), data visualization tools, and model deployment platforms. Excellent analytical and problem-solving skills with strong communication abilities. Preferred Qualifications: Experience with cloud services (AWS/GCP/Azure) for deploying AI models. Knowledge of MLOps practices, model monitoring, and continuous training. Exposure to NLP, Computer Vision, or Reinforcement Learning projects. What We Offer: Opportunity to lead high-impact AI/ML projects. Collaborative and growth-oriented work environment. Competitive compensation and career advancement opportunities. Company Name: Blue Data Consulting & IT Services Pvt Ltd. Employment Type: Full-time Working Hours: 9:30am to 5:30pm Working Days: Monday to Friday Work Mode: Work From Office Location: Surat, Gujarat Job Type: Full-time Pay: ₹240,000.00 - ₹480,000.00 per year Benefits: Health insurance Leave encashment Schedule: Day shift Application Question(s): What is your current location? Experience: AI/ML: 1 year (Required) Work Location: In person

Overview: We are seeking a dynamic and technically skilled AI/ML Lead to take ownership of machine learning and AI initiatives, driving innovation and delivering data-driven solutions. This role is ideal for someone with at least one year of hands-on experience in AI/ML, looking to step into a leadership role while still being actively involved in development and problem-solving. Key Responsibilities: Lead the design, development, and deployment of AI/ML models and solutions. Collaborate with product, engineering, and data teams to integrate AI models into business applications. Analyze large datasets to extract actionable insights and identify opportunities for AI-driven improvements. Evaluate, tune, and optimize model performance for real-world production use cases. Stay current with advancements in AI/ML technologies and recommend relevant tools and techniques. Mentor junior team members and contribute to the growth of the AI/ML team. Qualifications: Bachelor’s or master’s degree in computer science, Data Science, AI/ML, or a related field. Minimum 1 year of experience in machine learning or AI model development and deployment. Strong programming skills in Python and experience with ML libraries like scikit-learn, TensorFlow, PyTorch, or similar. Solid understanding of machine learning algorithms, data preprocessing, model training, and evaluation. Experience with version control (e.g., Git), data visualization tools, and model deployment platforms. Excellent analytical and problem-solving skills with strong communication abilities. Preferred Qualifications: Experience with cloud services (AWS/GCP/Azure) for deploying AI models. Knowledge of MLOps practices, model monitoring, and continuous training. Exposure to NLP, Computer Vision, or Reinforcement Learning projects. What We Offer: Opportunity to lead high-impact AI/ML projects. Collaborative and growth-oriented work environment. Career advancement opportunities. Company Name: Blue Data Consulting & IT Services Pvt Ltd. Employment Type: Full-time Working Hours: 9:30am to 5:30pm Working Days: Monday to Friday Work Mode: Work From Office Location: Sector 62, Noida Show more Show less

Key Responsibilities: Design, develop, and deliver comprehensive training programs in Artificial Intelligence, Machine Learning, Generative AI, and Agentic AI concepts Conduct classroom and virtual instructor-led training sessions for students, professionals, and internal teams Create training materials, hands-on lab sessions, and project-based modules using real-world datasets and case studies Train participants on the use and deployment of GenAI solutions on cloud platforms (Azure OpenAI, Google Vertex AI, AWS Bedrock, etc.) Stay updated with the latest trends in AI/ML, LLMs, and GenAI tools such as LangChain, Pinecone, OpenAI, Hugging Face, and more Mentor learners on deploying AI agents, building prompt-based applications, and developing end-to-end GenAI systems Collaborate with curriculum designers, product teams, and industry experts to ensure high-quality content delivery Track learner progress, provide feedback, and support certification readiness Key Skills Required: Technical Skills: Strong understanding of Artificial Intelligence, Machine Learning, and Deep Learning concepts Hands-on experience with Generative AI tools and frameworks (OpenAI GPT, Claude, Gemini, LangChain, LlamaIndex) Experience in building and deploying Agentic AI applications and workflows Proficiency with cloud-based GenAI platforms: Microsoft Azure, Google Cloud Platform , Amazon Web Services (AWS) Programming in Python, with experience in TensorFlow, PyTorch, Transformers, LangChain, etc. Familiarity with ML model lifecycle, MLOps, API integrations, vector databases, and prompt engineering.