Job Title: Machine Learning Engineer (Gen AI and AI ML) Job Summary Primary Skills: Master's degree from Computer science, Mathematics, Statistics and other relative disciplines Experience using statistical computer languages (Python, R, etc.) to manipulate data and draw insights from large data sets. Knowledge of a variety of machine learning techniques (clustering, decision trees, boosting, artificial neural networks, etc.) and their real-world advantages/drawbacks. Knowledge of popular ML and non-ML libraries: Tensorflow, Torch, Sklearn, Scipy, Xgboost,… Knowledge of popular cloud infrastructure: Google Cloud, AWS, Microsoft Azure, … Excellent written and verbal communication skills for coordinating across teams. Experience in code management using Git Secondary Skills Experience in Ecommerce or Advertising verticals is a plus Experience on NLP, Time Series Forecasting, Computer vision, and other relative domains is a plus Experience on popular NLP and Computer vision libraries is a plus: Spacy, NLTK, OpenCV, … Experience on parallel computing and GPU acceleration is a plus Experience on LLM’s utilization and fine tuning, GEN AI solutioning along with RAG is a must Responsibilities Mine and analyze data from company databases to drive optimization and improvement for product development, marketing techniques and business strategies. Assess the effectiveness and accuracy of new data sources and data gathering techniques. Transforming data science prototypes and applying appropriate algorithms and tools. Develop custom ML and non-ML models and algorithms to apply to data sets. Define the evaluation approach of models. Use predictive modeling to increase and optimize customer experiences, revenue generation, ad targeting and other business outcomes. Coordinate with different functional teams to implement models and monitor outcomes. Keeping abreast of developments in corresponding domains. Skills: r,sklearn,nltk,torch,llm,microsoft azure,aws,scipy,git,opencv,machine learning techniques,machine learning,google cloud,xgboost,spacy,nlp,tensorflow,python,code management,gen ai,time series forecasting,computer vision Show more Show less

Job Title : .NET Full Stack Developer Location : Hyderabad, Bangalore, Pune Experience : 5-8 Years Job Type : Full-time, On-site Job Summary We are seeking a skilled .NET Full Stack Developer to join our dynamic team. The ideal candidate will be responsible for both front-end and back-end development, building high-performance applications using .NET Core, Angular, C#, SQL Server, and MongoDB . You will play a critical role in designing, developing, and deploying software solutions that meet client requirements, ensuring seamless functionality and scalability. Key Responsibilities Develop, test, and deploy robust, scalable web applications using .NET Core, Angular, and C#. Design, implement, and maintain efficient database structures using SQL Server & MongoDB. Collaborate with cross-functional teams to understand business requirements and deliver high-quality solutions. Optimize application performance, ensuring smooth functionality and fast load times. Write clean, maintainable, and well-documented code following best practices. Troubleshoot and resolve software defects and system issues in a timely manner. Stay updated with the latest technologies, frameworks, and industry trends. Work closely with UI/UX designers to create visually appealing, user-friendly interfaces. Conduct code reviews and mentor junior developers when needed. Required Skills Strong expertise in .NET Core, Angular, C#, SQL Server, and MongoDB. Experience in designing and implementing RESTful APIs and microservices. Solid understanding of cloud-based architectures , deployment models, and DevOps practices. Knowledge of modern front-end frameworks and responsive design principles. Proficiency in version control systems (Git, Azure DevOps, etc.). Strong problem-solving, analytical, and debugging skills. Ability to work independently and collaboratively in a team environment. Excellent communication skills, with the ability to effectively convey technical concepts. Preferred Skills Experience with CI/CD pipelines and automation tools. Familiarity with containerization (Docker, Kubernetes). Exposure to cloud platforms like Azure or AWS. Knowledge of software testing methodologies and quality assurance processes. (ref:hirist.tech) Show more Show less