AI/ML Engineer
7 days ago
About the Role
We are seeking a passionate and motivated
AI/ML Engineer (Entry-Level)
to join our team. The ideal candidate should have strong foundational knowledge of
Machine Learning, Deep Learning, and Large Language Models (LLMs)
, along with hands-on experience in Python programming. This role involves contributing to
AI-driven solutions
, including
LLM fine-tuning
,
real-time audio processing
, and deploying models in
containerized environments
.
Key Responsibilities
- Assist in designing, training, and evaluating
machine learning and deep learning models
. - Work with
LLMs (both open-source and paid APIs like OpenAI, Anthropic, etc.)
for building AI-driven applications. - Perform
fine-tuning, prompt engineering, and model optimization
for specific business use cases. - Implement and optimize
real-time AI solutions
(e.g., speech-to-text, audio analysis, chatbots). - Develop clean, scalable, and efficient
Python-based pipelines
for data processing and model training. - Package and deploy models using
Docker
and work with cloud platforms (AWS/Azure/GCP) for scalability. - Collaborate with senior engineers and researchers to explore new
AI frameworks and tools
. - Document workflows, experiments, and results for reproducibility.
Required Skills & Qualifications
- Bachelor's degree in Computer Science, Data Science, AI/ML, or related field (or equivalent practical experience).
- Solid understanding of
Machine Learning algorithms and Deep Learning architectures (CNNs, RNNs, Transformers, etc.)
. - Familiarity with
LLMs
, including
open-source models (LLaMA, Mistral, Falcon, etc.)
and
commercial APIs (OpenAI, Google, Azure OpenAI, Anthropic)
. - Knowledge of
LLM fine-tuning and approaches
(LoRA, PEFT, instruction tuning and RAG). - Proficiency in
Python
and common ML libraries (NumPy, Pandas, scikit-learn, PyTorch/TensorFlow). - Exposure to
real-time audio solutions
(ASR, TTS, audio streaming frameworks). - Hands-on experience with
Docker
and familiarity with
Git/GitHub
. - Basic understanding of
cloud services
(AWS Sagemaker, Azure ML, or GCP Vertex AI). - Strong problem-solving skills and eagerness to learn new tools/technologies.
Nice to Have (Good to Learn Quickly)
- Knowledge of
MLOps tools
(MLflow, Weights & Biases, DVC, Airflow). - Experience with
vector databases (Pinecone, Weaviate, FAISS, Milvus)
for retrieval-augmented generation (RAG). - Familiarity with
API development (FastAPI, Flask)
for serving ML models. - Understanding of
Linux environments and shell scripting
.
What We Offer
- Opportunity to work on
cutting-edge AI projects
in a fast-paced environment. - Mentorship from experienced
AI/ML engineers and researchers
. - Continuous learning opportunities with
latest frameworks, tools, and cloud services
. - Career growth in the AI/ML space.
-
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