Senior Data Scientist About the Role: We are seeking a highly skilled Senior Data Scientist with expertise in Python, Machine Learning (ML), Natural Language Processing (NLP), Generative AI (GenAI), and Azure Cloud Services . The ideal candidate will be responsible for designing, developing, and deploying advanced AI/ML models to drive data-driven decision-making. This role requires strong analytical skills, proficiency in AI/ML technologies, and experience with cloud-based solutions. Key Responsibilities: · Design and develop ML, NLP, and GenAI models to solve complex business problems. · Build, train, and optimize AI models using Python and relevant ML frameworks. · Implement Azure AI/ML services for scalable deployment of models. · Develop and integrate APIs for real-time model inference and decision-making. · Work with large-scale data to extract insights and drive strategic initiatives. · Collaborate with cross-functional teams, including Data Engineers, Software Engineers, and Product Teams , to integrate AI/ML solutions into applications. · Implement CI/CD pipelines to automate model training, deployment, and monitoring. · Ensure adherence to software engineering best practices and Agile methodologies in AI/ML projects. · Stay updated on cutting-edge AI/ML advancements and continuously enhance models and algorithms. · Conduct research on emerging AI/ML trends and contribute to the development of innovative solutions. · Provide technical mentorship and guidance to junior data scientists. · Optimize model performance and scalability in a production environment . Required Skills & Qualifications: · Proficiency in Python and ML frameworks like TensorFlow, PyTorch, or Scikit-learn. · Hands-on experience in NLP techniques , including transformers, embeddings, and text processing. · Expertise in Generative AI models (GPT, BERT, LLMs, etc.). · Strong knowledge of Azure AI/ML services , including Azure Machine Learning, Azure Cognitive Services, and Azure Databricks. · Experience in developing APIs for model deployment and integration. · Familiarity with CI/CD pipelines for AI/ML models. · Strong understanding of software engineering principles and best practices. · Experience working in an Agile development environment . · Excellent problem-solving skills and ability to work in a fast-paced, dynamic environment. · Strong background in statistical analysis, data mining, and data visualization . Preferred Qualifications: · Experience in MLOps and automation of model lifecycle management. · Knowledge of vector databases and retrieval-augmented generation (RAG) techniques. · Exposure to big data processing frameworks (Spark, Hadoop). · Strong ability to communicate complex ideas to technical and non-technical stakeholders. · Experience with Graph Neural Networks (GNNs) and recommendation systems . · Familiarity with AutoML frameworks and hyperparameter tuning strategies. Job Types: Full-time, Part-time, Permanent Pay: ₹400.00 - ₹450.00 per hour Benefits: Health insurance Provident Fund Schedule: Day shift Monday to Friday Weekend availability Supplemental Pay: Performance bonus Experience: Python: 8 years (Required) Azure AI/ML services: 8 years (Required) Senior Data Scientist: 8 years (Required) ML, NLP, and GenAI models: 8 years (Required) Work Location: In person

As a highly skilled Senior Data Scientist, you will bring expertise in Python, Machine Learning (ML), Natural Language Processing (NLP), Generative AI (GenAI), and Azure Cloud Services to our team. Your primary responsibility will be to design, develop, and deploy advanced AI/ML models to facilitate data-driven decision-making processes. You must possess strong analytical skills, proficiency in AI/ML technologies, and hands-on experience with cloud-based solutions. Your key responsibilities will include designing and developing ML, NLP, and GenAI models to address complex business challenges. You will be tasked with building, training, and optimizing AI models using Python and various ML frameworks, as well as implementing Azure AI/ML services for scalable deployment. Additionally, you will develop and integrate APIs for real-time model inference and decision-making, collaborate with cross-functional teams, and ensure adherence to software engineering best practices and Agile methodologies. To excel in this role, you must stay updated on cutting-edge AI/ML advancements, conduct research on emerging trends, and contribute to the development of innovative solutions. Providing technical mentorship to junior data scientists, optimizing model performance in a production environment, and continuously enhancing models and algorithms will also be part of your responsibilities. The required skills and qualifications for this role include proficiency in Python and ML frameworks such as TensorFlow, PyTorch, or Scikit-learn. Hands-on experience in NLP techniques, expertise in Generative AI models, strong knowledge of Azure AI/ML services, and familiarity with CI/CD pipelines are essential. Additionally, you should have a strong understanding of software engineering principles, experience working in an Agile development environment, excellent problem-solving skills, and a background in statistical analysis, data mining, and data visualization. Preferred qualifications include experience in MLOps, knowledge of vector databases and retrieval-augmented generation techniques, exposure to big data processing frameworks, and familiarity with Graph Neural Networks and recommendation systems. Strong communication skills to convey complex ideas to technical and non-technical stakeholders, experience with AutoML frameworks, and hyperparameter tuning strategies will be advantageous in this role. This is a full-time or part-time permanent position with benefits such as health insurance and provident fund. The work schedule includes day shifts from Monday to Friday with weekend availability. An additional performance bonus will be provided based on your contribution to the team. If you have at least 8 years of experience in Python, Azure AI/ML services, Senior Data Scientist roles, and working with ML, NLP, and GenAI models, we encourage you to apply for this opportunity. The work location is in person to foster collaboration and innovation within the team.,

Job description Key Responsibilities: Design and develop ML, NLP, and GenAI models to solve real-world business problems. Build, train, and fine-tune AI models using Python and leading ML frameworks . Leverage Azure and GCP AI/ML services for scalable and production-ready deployment. Develop and integrate APIs for real-time model inference and intelligent decision-making. Handle large-scale datasets to extract insights and drive data-informed strategies. Work collaboratively with Data Engineers, Software Developers, and Product Teams to integrate AI solutions into existing products and platforms. Implement and maintain CI/CD pipelines for model development and deployment automation. Follow Agile methodologies and adhere to software engineering best practices . Stay current with AI/ML innovations , including LLMs and GenAI advancements, and incorporate them into ongoing projects. Lead research initiatives and contribute to innovative solution development. Provide mentorship to junior team members and ensure knowledge sharing. Continuously monitor and optimize models for performance and scalability in production. Required Skills & Qualifications: Proficiency in Python and experience with TensorFlow, PyTorch , or Scikit-learn . In-depth understanding of NLP techniques , such as transformers, embeddings , and text analytics . Proven expertise in Generative AI models (e.g., GPT, BERT, LLMs ). Strong experience with Azure AI/ML services (Azure ML, Cognitive Services, Databricks). Hands-on experience with GCP AI/ML tools such as Vertex AI , BigQuery ML , and TensorFlow on GCP . Proficient in building and integrating REST APIs for ML model inference. Familiarity with CI/CD practices tailored for ML environments. Strong grasp of software engineering principles (version control, modularity, testing). Experience working in Agile development environments . Excellent problem-solving skills and the ability to work in a fast-paced, dynamic environment . Solid background in statistical analysis , data mining , and data visualization . Preferred Qualifications: Experience with MLOps and end-to-end model lifecycle automation . Knowledge of vector databases and Retrieval-Augmented Generation (RAG) . Familiarity with big data processing frameworks such as Apache Spark and Hadoop . Ability to communicate complex technical concepts to non-technical stakeholders . Exposure to Graph Neural Networks (GNNs) and recommendation engines . Understanding of AutoML frameworks and advanced hyperparameter tuning techniques . Job Type: Contractual / Temporary Pay: ₹700.00 - ₹900.00 per hour Schedule: Day shift Experience: Python : 3 years (Required) TensorFlow: 3 years (Required) PyTorch: 3 years (Required) Scikit-learn: 3 years (Required) Work Location: In person Job Type: Contractual / Temporary Pay: ₹500.00 - ₹700.00 per hour Benefits: Health insurance Provident Fund Schedule: Day shift Monday to Friday Weekend availability Supplemental Pay: Performance bonus Work Location: In person