AiMl Engineer
AiMl Engineer
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1 Vacancy
Job Description
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.
Note: Candidates who can join immediately or within a short notice period 1 2 weeks) preferred.
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.
- 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 Skills:
- 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.
Benefits:
- Flexibility at its best
- Recharge with flexible vacation days.
- Comprehensive health insurance: Covers you, your family, and your parents.
- Annual Performance bonus.
- Other Reimburse benefits
AIML,LLM,ML Models,MACHINE LEARNING,AI Technologies,TENSORFLOW,PYTORCH,PYTHON,OpenAI
Employment Type
Full Time
