JOB DESCRIPTION/PREFERRED QUALIFICATIONS: REQUIRED SKILLS/COMPETENCIES: Programming Languages: Strong in Python, data structures, and algorithms. Hands-on with NumPy, Pandas, Scikit-learn for ML prototyping. Machine Learning Frameworks: Understanding of supervised/unsupervised learning, regularization, feature engineering, model selection, cross-validation, ensemble methods (XGBoost, LightGBM). Deep Learning Techniques: Proficiency with PyTorch or TensorFlow/Keras Knowledge of CNNs, RNNs, LSTMs, Transformers, Attention mechanisms. Familiarity with optimization (Adam, SGD), dropout, batch norm. LLMs & RAG: Hugging Face Transformers (tokenizers, embeddings, model fine-tuning). Vector databases (Milvus, FAISS, Pinecone, ElasticSearch). Prompt engineering, function/tool calling, JSON schema outputs. Data & Tools: SQL fundamentals; exposure to data wrangling and pipelines. Git/GitHub, Jupyter, basic Docker. WHAT ARE WE LOOKING FOR? Solid academic foundation with strong applied ML/DL exposure. Curiosity to learn cutting-edge AI and willingness to experiment. Clear communicator who can explain ML/LLM trade-offs simply. Strong problem-solving and ownership mindset. MINIMUM QUALIFICATIONS: Doctorate (Academic) Degree and 2 years related work experience; Master's Level Degree and related work experience of 5 years; Bachelor's Level Degree and related work experience of 7 years in building AI systems/solutions with Machine Learning, Deep Learning, and LLMs. MUST-HAVES: Education/qualification: Preferably from premier Institute like IIT, IISC, IIIT, NIT and BITS. Also regional tier 1 colleges. Doctorate (Academic) Degree and 2 years related work experience; or Master's Level Degree and related work experience of 5 years; or Bachelor's Level Degree and related work experience of 7 years Min 5 yrs experience in the Mandatory Skills: Python, Deep Learning, Machine Learning, Algorithm Development and Image Processing 3.5 to 4 yrs proficiency with PyTorch or TensorFlow/Keras Candidates from engineering product companies have higher chances of getting shortlisted (current company or past experience)
JOB DESCRIPTION/PREFERRED QUALIFICATIONS: REQUIRED SKILLS/COMPETENCIES: Programming Languages: Strong in Python, data structures, and algorithms. Hands-on with NumPy, Pandas, Scikit-learn for ML prototyping. Machine Learning Frameworks: Understanding of supervised/unsupervised learning, regularization, feature engineering, model selection, cross-validation, ensemble methods (XGBoost, LightGBM). Deep Learning Techniques: Proficiency with PyTorch or TensorFlow/Keras Knowledge of CNNs, RNNs, LSTMs, Transformers, Attention mechanisms. Familiarity with optimization (Adam, SGD), dropout, batch norm. LLMs & RAG: Hugging Face Transformers (tokenizers, embeddings, model fine-tuning). Vector databases (Milvus, FAISS, Pinecone, ElasticSearch). Prompt engineering, function/tool calling, JSON schema outputs. Data & Tools: SQL fundamentals; exposure to data wrangling and pipelines. Git/GitHub, Jupyter, basic Docker. WHAT ARE WE LOOKING FOR Solid academic foundation with strong applied ML/DL exposure. Curiosity to learn cutting-edge AI and willingness to experiment. Clear communicator who can explain ML/LLM trade-offs simply. Strong problem-solving and ownership mindset. MINIMUM QUALIFICATIONS: Doctorate (Academic) Degree and 2 years related work experience; Master's Level Degree and related work experience of 5 years; Bachelor's Level Degree and related work experience of 7 years in building AI systems/solutions with Machine Learning, Deep Learning, and LLMs. MUST-HAVES: Education/qualification: Preferably from premier Institute like IIT, IISC, IIIT, NIT and BITS. Also regional tier 1 colleges. Doctorate (Academic) Degree and 2 years related work experience; or Master's Level Degree and related work experience of 5 years; or Bachelor's Level Degree and related work experience of 7 years Min 5 yrs experience in the Mandatory Skills: Python, Deep Learning, Machine Learning, Algorithm Development and Image Processing 3.5 to 4 yrs proficiency with PyTorch or TensorFlow/Keras Candidates from engineering product companies have higher chances of getting shortlisted (current company or past experience)
**Job Description:** As a Machine Learning Engineer, you will be responsible for developing and implementing cutting-edge AI solutions using Machine Learning, Deep Learning, and Large Language Models (LLMs). You should have a strong foundation in applied ML/DL concepts and a willingness to stay updated with the latest advancements in the field. Your role will involve working with various programming languages, machine learning frameworks, and deep learning techniques to build AI systems that address complex challenges. **Key Responsibilities:** - Strong proficiency in Python, data structures, and algorithms. - Hands-on experience with NumPy, Pandas, and Scikit-learn for ML prototyping. - Understanding of supervised/unsupervised learning, regularization, feature engineering, model selection, cross-validation, and ensemble methods (XGBoost, LightGBM). - Proficiency in PyTorch or TensorFlow/Keras with knowledge of CNNs, RNNs, LSTMs, Transformers, and Attention mechanisms. - Familiarity with optimization techniques such as Adam, SGD, dropout, and batch norm. - Experience with Hugging Face Transformers, vector databases (Milvus, FAISS, Pinecone, ElasticSearch), prompt engineering, and JSON schema outputs. - Strong fundamentals in SQL, data wrangling, and pipelines. - Proficient in using Git/GitHub, Jupyter, and basic Docker for development and collaboration. **Qualifications Required:** - Doctorate (Academic) Degree with 2 years of related work experience; or Master's Level Degree with 5 years of related work experience; or Bachelor's Level Degree with 7 years of related work experience in building AI systems/solutions. - Education/qualification preferably from premier Institutes like IIT, IISC, IIIT, NIT, and BITS. - Minimum of 5 years of experience in Python, Deep Learning, Machine Learning, Algorithm Development, and Image Processing. - 3.5 to 4 years of proficiency in PyTorch or TensorFlow/Keras. - Candidates from engineering product companies have higher chances of being shortlisted based on their current or past experience. This role requires you to have a solid academic background, excellent problem-solving skills, and the ability to communicate complex ML/LLM concepts effectively. If you are someone who is passionate about AI, enjoys experimenting with new technologies, and takes ownership of your work, you are the ideal candidate for this position.,