Primary Skills (Mandatory):Artificial IntelligenceMachine LearningProficiency in programming languages: Java, C, Python, R, or equivalentSecondary Skills (Good to have):Experience with Generative AI models and frameworks such as Open Ai's GPT family of models, open-source LLMs, and Lang ChainMust HaveBachelors degree in data science statistics mathematics computer science or engineering discipline or equivalent experience3 years of work educational experience leading development of Machine Learning prompt engineering data analysis and Artificial Intelligence1 years of experience with product on grade design deployment and implementation of AI models and systems contributing fresh ideas and approaches to the teams effortsExperience with one or more general purpose programming languages including but not limited to Java CC Python R or equivalentExperience and knowledge in designing building and deploying multi layered application Infrastructure involving On-premises AWS Cloud platform using services Bedrock LLM modelsYou enjoy working with people and can put yourself in other peoples shoes You're not afraid to ask for help when you need it or help teammates when they need a boostEmbraces diverse people thinking and stylesConsistently makes safety and security of self and others the priorityExperience with one or more of the following Natural Language Processing sentiment analysis classification pattern recognitionConsistently makes safety and security of self and others the priorityIf interested, please apply on below link/share resume on hr@awone.ai with below details:Total Experience:Current CTC:Expected CTC:Current Location:Preferred Location:

What You'll Do:Lead the development and deployment of NLP-based solutions to process and analyze unstructured data at scale.Design, train, and optimize machine learning models using libraries such as PyTorch, NLTK, and Scikit-learn.Architect and deploy AI/ML products on cloud platforms like Azure, GCP, or AWS.Collaborate with data engineering teams to ensure seamless integration of AI models into production systems.Perform advanced SQL analytics to extract actionable insights from structured datasets.Stay up-to-date with the latest advancements in NLP and machine learning techniques.Mentor junior data scientists and foster a culture of technical excellence within the team.Communicate complex technical concepts to non-technical stakeholders and customers.Partner with customers to understand their needs and translate them into technical solutions.What Were Looking For:Minimum 5 years of experience in data science, with a focus on NLP and unstructured data processing.Proven track record of launching NLP-driven products to live users.Expertise in Python and standard libraries such as PyTorch, NLTK, and Scikit-learn.Experience with Transformer-based models (e.g., BERT, GPT).Strong experience with one or more cloud platforms (Azure, GCP, AWS) for hosting and deploying AI/ML products.Familiarity with data engineering pipelines and best practices.Proficiency in SQL for analytics and data manipulation.Excellent problem-solving skills and ability to work with large-scale datasets.Strong interpersonal and communication skills, with the ability to mentor team members and interact with customers effectively.Preferred Skills:Knowledge of MLOps practices for model deployment and monitoring.Familiarity with tools like Airflow, Spark, or similar data processing frameworks.Background in working with customer-facing applications and APIs.

Key Responsibilities:Build and optimize ML-based product pipelines and data-driven solutionsDevelop custom data models and algorithms to drive business insightsHandle the deployment of ML models with awareness of optimized server configurationsEnhance data collection and processing procedures to improve model performancePerform data mining and cleansing using state-of-the-art methodsConduct ad-hoc analysis and present insights in a clear, actionable mannerAssess the accuracy and effectiveness of new data sources and techniquesCollaborate with cross-functional teams to implement models and monitor outcomesDevelop tools and processes to monitor model performance and data accuracyBuild scalable pipelines using Large Language Models (LLMs)Fine-tune models like T5, LLaMA, and YOLO for specific use casesRequirements:3+ years of experience in data science, machine learning, and analyticsProficiency in Python and statistical computing languagesStrong expertise in ML model deployment and product platform architectureExpertise in fundamental data science, machine learning, and deep learning usingPythonSound knowledge of NLP and Computer VisionExperience in building scalable AI applications with a good understanding of High-LevelDesign (HLD)Strong grasp of data structures and algorithmsExperience with Retrieval-Augmented Generation (RAG) and Agentic workflowsExperience in cloud platforms, preferably AWS (Redshift, S3, Lambda)Experience with Elasticsearch, SQL, and REST APIsHands-on experience with big data tools such as Hadoop, Spark, and HiveDeep understanding of machine learning algorithms (regression, clustering, decision trees,neural networks, etc.)Strong problem-solving skills and the ability to translate data insights into business impactExcellent communication and collaboration skills to work across teams

We have an urgent requirement for an "Senior AI/ML Engineer with Gen-AI" for the Hyderabad (WFO) location. Please find below the job description for your reference.Experience: 6+ yearsNotice Period: ImmediateJob Location: Hyderabad (Work from office)Key Responsibilities:Architect AI/ML systems as well as integrating AI/ML features into business apps Solution and execute end-to-end Generative AI projects with Open AI, GPT-4, Llama-2 etc. Experience in data acquisition, data mining, data transformation, cleaning structured/unstructured data, modelling, or machine learning, including at least 1 year in Generative AI. Develop end-to-end NLP Deep models Assist in Conversational AI, Information retrieval, Knowledge Management Research and implement appropriate ML algorithms and tools Build and manage Supervised and Unsupervised ML algorithmsSelect appropriate datasets and data representation methods, Perform statistical analysis and fine-tuning using test results Utilize AWS Lambda, EC2 Services to build solution and Provide code deploymentsCommunicate architecture decisions effectively to multiple stakeholders including presenting to client Architecture Review Boards (ARBs).As a Senior Machine Learning Engineer, you will possess the following essential strengths, skills, and competencies.Problem-Solving Skills: Strong emphasis on product development.Communication Skills: Excellent written and oral communication, and strong interpersonal skills.Independence: Ability to thrive in a fast-paced environment and work independently. Analytical Skills: Experience performing root cause analysis to answer specific business questions.Programming Languages: Familiarity with Scala (preferred), Python & SQLPredictive Modelling and Analysis: Experience in machine learning and algorithm development. Mathematical Skills: Solid foundation in statistics, calculus, and linear algebra.Model Deployment: Experience productizing and deploying machine learning models. Data Warehousing: Experience with data warehouse tools (Snowflake preferred). Data Pipeline Management: Experience with data pipeline and workflow management tools (Airflow preferred). Engineering: Experience in Prompt engineering with LLM Development using Lang chain. Semantic Kernel, Open Source/ API based LLMs or similar.API Development: Experience building scalable APIs in Python (using FastAPI is a plus). • Data Processing: Working knowledge of data processing packages (e.g., NumPy, SciPy, pandas).Please share your CV along with below mentioned details to "hr@awone.ai".Total Experience:Relevant Experience:Current CTC:Expected CTC:Notice Period:Current Location:Interested to relocate Hyderabad :