Job Type: Full-time (Contract to hire for 3 Months) Job mode: Remote Sense7AI Data Solutions is seeking a highly skilled and forward-thinking AI/ML Engineer to join our dynamic team. You will play a critical role in designing, developing, and deploying state-of-the-art AI solutions using both classical machine learning and cutting-edge generative AI technologies. The ideal candidate is not only technically proficient but also deeply familiar with modern AI tools, frameworks, and prompt engineering strategies. Key Responsibilities • Design, build, and deploy end-to-end AI/ML solutions tailored to real-world business challenges. • Leverage the latest advancements in Generative AI, LLMs (e.g., GPT, Claude, LLaMA), and multimodal models for intelligent applications. • Develop, fine-tune, and evaluate custom language models using transfer learning and prompt engineering. • Work with traditional ML models and deep learning architectures (CNNs, RNNs, Transformers) for diverse applications such as NLP, computer vision, and time-series forecasting. • Create and maintain scalable ML pipelines using MLOps best practices. • Collaborate with cross-functional teams (data engineers, product managers, business analysts) to understand domain needs and translate them into AI solutions. • Stay current on the evolving AI landscape, including open-source tools, academic research, cloud-native AI services, and responsible AI practices. • Ensure AI model transparency, fairness, bias mitigation, and compliance with data governance standards. Required Skills & Qualifications • Education: Any degree in Computer Science, Artificial Intelligence, Data Science, or a related field. • Experience: 3 – 5 years of hands-on experience in AI/ML solution development, model deployment, and experimentation. Technical Proficiency: • Programming: Python (strong), familiarity with Bash/CLI, and Git. • Frameworks: TensorFlow, PyTorch, Hugging Face Transformers, Scikit-learn. • GenAI & LLM Tools: LangChain, OpenAI APIs, Anthropic, Vertex AI, PromptLayer, Weights & Biases. • Prompt Engineering: Experience crafting, testing, and optimizing prompts for LLMs across multiple platforms. • Cloud & MLOps: AWS/GCP/Azure (SageMaker, Vertex AI, Azure ML), Docker, Kubernetes, MLflow. • Data: SQL, NoSQL, BigQuery, Spark, Hadoop; data wrangling, cleansing, and feature engineering. • Strong grasp of model evaluation techniques, fine-tuning strategies, and A/B testing. Preferred Qualifications • Experience with AutoML, reinforcement learning, vector databases (e.g., Milvus, FAISS), or RAG (Retrieval-Augmented Generation). • Familiarity with deploying LLMs and GenAI systems in production environments. • Hands-on experience with open-source LLMs and fine-tuning (e.g., LLaMA, Mistral, Falcon, Open LLaMA). • Understanding of AI compliance, data privacy, ethical AI, and explainability (XAI). • Strong problem-solving skills and the ability to work in fast-paced, evolving tech landscapes. • Excellent written and verbal communication in English.
Job Title
AI/ML Engineer (Expert)