Job Title

Position: Associate Data Scientist(ML Engineer)We are seeking a talented Data Scientist/ML Engineer to join our growing team. In thisrole, you will play a vital part in building and deploying machine learning and AI-drivensystems, selecting the right algorithms, and implementing scalable solutions inproduction environments.Responsibilities & DutiesDevelop and implement machine learning algorithms and models (e.g., regression, classification, clustering, NLP, etc.)Design and build AI-powered solutions, including intelligent automation, recommendation systems, and predictive analytics modelsWork on Generative AI use cases such as LLM-based applications, chatbots, summarization, and content generationFine-tune and deploy pre-trained foundation models (LLMs, transformers) using techniques like prompt engineering, RAG (Retrieval-Augmented Generation), and embeddingsAnalyze large datasets to extract insights and create predictive models that improve business performanceBuild and deploy end-to-end machine learning pipelines from data preprocessing to model deployment in production environmentsCollaborate with data engineers to design scalable data architectures and workflowsEvaluate and fine-tune model performance using metrics, cross-validation, and hyperparameter optimization techniquesApply deep learning models for computer vision, NLP, and other advanced AI use casesIntegrate AI/ML models with APIs and work closely with software developers to ensure smooth deploymentWork with vector databases and semantic search systems for AI applicationsEnsure responsible AI practices, including model explainability, bias mitigation, and data privacyStay up-to-date with the latest research in AI/ML and incorporate cutting-edge techniques into solutionsCommunicate insights, results, and technical concepts to both technical and non-technical stakeholdersContribute to the continuous improvement of data science and AI development processes and toolsQualifications & Skills2–4 years of experience manipulating datasets and building statistical/ML models, with a Bachelor's/Master's/PhD in Machine Learning, Data Science, Applied Statistics, Mathematics, Computer Science, or a related fieldStrong programming skills in Python, R, and SQL for data analysis and model buildingHands-on experience with AI/ML frameworks such as TensorFlow, PyTorch, Scikit-learnExposure to Generative AI tools and frameworks (e.g., OpenAI APIs, Hugging Face, LangChain, LlamaIndex)Understanding of LLMs, embeddings, vector databases, and prompt engineeringFamiliarity with Scala, Golang, or Java is an added advantageStrong knowledge of statistics, hypothesis testing, and data analysis techniquesExperience with data visualization tools such as Tableau, Power BI, or Python libraries (Matplotlib, Seaborn)Experience with big data technologies (Hadoop, Spark)Experience deploying models in production environments (AWS, GCP, or Azure)Knowledge of MLOps practices, CI/CD pipelines, and model monitoringFamiliarity with version control (Git) and containerization tools (Docker, Kubernetes)Basic knowledge of SQL and NoSQL databasesExcellent verbal communication and stakeholder management skillsStrong problem-solving ability and attention to detailEagerness to learn and experiment with emerging AI technologies