Job Title : AI/ML Engineer Job Description : We are seeking an experienced AI/ML Engineer with a strong background in Data Science, Generative AI, NLP, and Machine Learning. The ideal candidate will have a minimum of 3 years of experience in developing AI-based solutions, including custom GPT projects and Generative AI technologies. You will be responsible for designing, developing, and implementing AI-driven solutions to solve real-world problems. Required Qualifications : 3-7 years of experience in Data Science, NLP, Machine Learning, and Generative AI. Experience working on GPT projects and developing custom AI solutions. Strong programming skills in Python and experience with data science libraries (e.g., NumPy, Pandas, Scikit-learn). Experience with deep learning frameworks (e.g., TensorFlow, PyTorch, Keras). Proficiency in cloud platforms (AWS, Azure, Google Cloud) for deploying and monitoring ML models. Familiarity with LLM frameworks (e.g., OpenAI, Langchain). Knowledge of MLOps practices, including CI/CD for ML models and pipeline automation. Solid understanding of machine learning algorithms (e.g., SVM, Decision Trees, Random Forest). Experience with data visualization tools (e.g., Tableau, Power BI). Nice to Have : Experience with virtual assistant tools . Familiarity with CI/CD and DevOps tools. Experience with Docker/Kubernetes for productizing ML solutions. Knowledge of Generative AI technologies & models. Skills : Generative AI, NLP, Custom GPT Development, Deep Learning, MLOps. Python, TensorFlow, PyTorch, Keras, NumPy, Pandas. Cloud Platforms: AWS, Azure, Google Cloud. Data Science tools: SQL, Tableau, Power BI. Professional Attributes : Strong problem-solving skills and the ability to resolve technical challenges effectively. Excellent written and verbal communication skills. Self-starter with a passion for AI technologies and a willingness to learn and adapt. Educational Qualification : Bachelor's degree (BE/B.Tech) in Computer Science or equivalent.

Job Description - Data Warehouse Senior Engineer / Lead: Location : Bangalore or Hyderabad Responsibilities 1) Own design and development complex data integrations from multiple systems 2) Coordinate with onshore teams to obtain clarity on requirements, scope etc. 3) Be able to develop high quality BI reports that meet the needs of the customer 4) Good communication, interpersonal skills, and team player Qualifications Required 1) Strong knowledge on Azure Data warehousing and integration solutions such as Azure Data factory, Synapse Analytics Analytics 2) Working knowledge on Power Platform - PowerBI, PowerApps, Data verse, Power Automate 3) Working knowledge on Azure app integrations - Logic apps, function apps 4) Good knowledge on Azure data storage solutions - Data Lake, Cosmos DB, Storage accounts, SQL database 5) Strong data modelling experience (snowflake, dimensional etc.) and SQL expertise 6) Strong data analysis skills 7) Knowledge in Microsoft Fabrics Optional Skills 1) Knowledge on other data integration/streaming services (Data bricks, Azure data streaming services, Event grids, Kafka etc.) is a plus. 2) Knowledge on Microsoft Dynamics 365 platform - including working knowledge on export/import data from data verse etc. is a plus. 3) Having a certification on Azure data engineering related aspects is a plus.

1) Must have a hands-on experience with CI/CD tools such as Jenkins, Azure DevOps 2) Must be very proficient in OpenShift, Kubernetes and Docker tech stack 3) Must have hands-on experience in either one of AWS or Azure cloud platforms 4) Must have automation experience in any one of the cloud deployment systems such as Terraform, AWS Cloud formation, Puppet, Ansible or any such tools 5) Must be very proficient in scripting languages used for automation such as shell scripting, PowerShell, etc. 6) Must be proficient in GIT and GIT workflows 7) Familiarity with functional testing tools such as Selenium, and OWASP tools such as Qualys etc. is a plus