Jobs at Dicetek LLC

Job Title: AI/ML EngineerJob SummaryWe are seeking an AI/ML Engineer with strong fundamentals in machine learning and hands-on experience in building and deploying scalable models. The role involves data preprocessing, model development, and working closely with cross-functional teams to deliver ML-driven solutions.Key RequirementsB.Tech in Computer Science / Information TechnologyStrong proficiency in Python and SQLHands-on experience with ML frameworks such as TensorFlow or PyTorchExperience in data preprocessing, feature engineering, and model trainingAbility to develop and scale machine learning models for production useKey ExperienceData preprocessing and scalable model development Show more Show less

We are seeking an AI Developer with a strong background in Python, MLOps, Machine Learning (NLP). In this role, you will design and build end-to-end AI solutions—from data ingestion and model training to deployment and monitoring—with a special focus on leveraging large language models (LLMs) and developing agentic AI capabilities.Experience7+ years in AI/ML development, data science, or related roles with a proven record of contributing to production-ready AI/ML projects.Technical Skills Proficient in Python, including libraries such as NumPy, Pandas, scikit-learn, TensorFlow, and PyTorch. Experience with containerization (Docker) and orchestration (Kubernetes/OpenShift). Familiarity with GPU acceleration (e.g., NVIDIA CUDA). Exposure to MLOps tools for continuous integration and deployment. Strong understanding of data engineering concepts (ETL, data pipelines, data preparation). Demonstrated experience working with LLMs and natural language processing frameworks, as well as an interest in agentic AI.Soft Skills Excellent problem-solving and analytical skills focused on developing scalable and maintainable solutions. Strong communication and collaboration abilities to work effectively with cross-functional teams. Capability to articulate complex AI/ML concepts, especially regarding LLMs and autonomous systems, to diverse audiences. Show more Show less

Job OverviewWe are looking for an experienced AI Specialist with a strong focus on Generative AI (GenAI) to drive innovation and AI adoption across our organization. This role will identify high-value GenAI use cases, advise departments on AI-driven solutions, lead AI projects, and stay at the forefront of emerging GenAI technologies. The ideal candidate will have deep expertise in large language models (LLMs), generative AI frameworks, multimodal AI, and AI automation, along with the ability to translate these into practical business applications that enhance efficiency, creativity, and decision-making.You will collaborate with cross-functional teams to develop and integrate AI-powered solutions that optimize operations, enhance customer engagement, and unlock new growth opportunities.Qualifications & RequirementsEducation & Experience:Bachelor's or Master’s degree in Computer Science, Artificial Intelligence, Data Science, or a related field.3+ years of experience in AI, machine learning, or natural language processing (NLP).Proven experience working with LLMs, text-to-image models, and generative AI applications.Strong understanding of deep learning, transformer architectures, reinforcement learning, and diffusion models.Familiarity with cloud-based AI services (AWS Bedrock, Azure OpenAI, Google Vertex AI) and MLOps best practices.Technical SkillsProficiency in programming languages such as Python, TensorFlow, PyTorch, and Hugging Face Transformers.Experience working with APIs for OpenAI, Anthropic, Cohere, and Stability AI.Hands-on experience with prompt engineering, fine-tuning LLMs, and retrieval-augmented generation (RAG) techniques.Knowledge of vector databases (FAISS, Pinecone, ChromaDB) for efficient AI search and retrieval.Strong understanding of data privacy, AI ethics, and regulatory compliance (e.g., GDPR, AI Act, CCPA).Soft Skills & CompetenciesStrong analytical and problem-solving skills with a business-oriented AI mindset.Excellent communication skills, with the ability to simplify complex AI concepts for non-technical stakeholders.Ability to drive AI adoption and manage change across teams.Project management skills with experience in leading AI initiatives across an organization.Preferred QualificationsCertifications in AI/ML (e.g., Google Professional ML Engineer, AWS Certified Machine Learning, OpenAI API Certification).Experience in deploying AI-powered chatbots, virtual assistants, or personalized AI solutions.Background in digital transformation, AI-driven content creation, or AI-enhanced customer experience.Experience with multi-agent AI systems, self-learning models, and real-time AI applications. Show more Show less

Role Summary: The Data Scientist will be responsible for collecting, analyzing, and interpreting large datasets to generate actionable insights, and support data-driven decision-making.Key Responsibilities Data Collection & Processing Extract, clean, and preprocess structured and unstructured data from multiple sources. Ensure data integrity, quality, and governance. Analytics Apply statistical methods to solve business problems. Develop algorithms to optimize business processes (e.g., customer record segmentation, duplicate detection, recommendation for efficiency optimisation). Visualization & Reporting Build dashboards and visualizations to communicate findings to stakeholders. Translate complex results into actionable insights for non-technical audiences. Collaboration Work closely with project implementation teams to understand requirements and deliver data solutions. Collaborate with data engineers to expedite data driven conclusions and opportunity areas.Required Skills & Qualifications Education: Bachelor’s/Master’s in Computer Science, Statistics, Mathematics, Data Science, or related field.Technical Skills Proficiency in Python/R, SQL, and data visualization tools (Tableau, Power BI, matplotlib). Strong knowledge of statistics, probability, and hypothesis testing. Experience with machine learning frameworks (scikit-learn, TensorFlow, PyTorch).Business Skills Ability to translate data insights into business recommendations. Strong problem-solving and critical-thinking skills.Preferred Qualifications Experience with big data technologies (Spark, Hadoop). Familiarity with cloud platforms (AWS, Azure, GCP). Publications or project work demonstrating data science applications.Key Performance Indicators (KPIs) Accuracy and robustness of conclusions basis data study. Business value generated through data insights. Timeliness and quality of reports and dashboards. Stakeholder satisfaction and adoption of data-driven solutions. Show more Show less