Job Description

Work Experience: 3-5 Years

Job Type: Full-time, Permanent

Job mode: Remote/Hydrid/On-Site

Joining: Open to immediate joiners and candidates available within 1-2 weeks.

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 Types: Full-time, Permanent

Pay: ?500,000.00 - ?1,200,000.00 per year

Benefits:

Flexible schedule Work from home
Experience:

Machine learning: 3 years (Required) AI: 3 years (Required)
Work Location: Remote