AI ML Specialist Lead
- NineHertz
- 10 - 15 years
- Jaipur
- 11 days ago
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Job Description
We are seeking a cross-functional expert at the intersection of Product, Engineering, and Machine Learning to lead and build cutting-edge AI systems. This role combines the strategic vision of a Product Manager with the technical expertise of a Machine Learning Engineer and the innovation mindset of a Generative AI and LLM expert.
You will help define, design, and deploy AI-powered features , train and fine-tune models (including LLMs), and architect intelligent AI agents that solve real-world problems at scale.
Key Responsibilities:
Product Management:
Define product vision, roadmap, and AI use cases aligned with business goals.
Collaborate with cross-functional teams (engineering, research, design, business) to deliver AI-driven features.
Translate ambiguous problem statements into clear, prioritized product requirements.
AI/ML Engineering & Model Development:
Develop, fine-tune, and optimize ML models, including LLMs (GPT, Claude, Mistral, etc. ).
Build pipelines for data preprocessing, model training, evaluation, and deployment.
Implement scalable ML solutions using frameworks like PyTorch , TensorFlow , Hugging Face , LangChain , etc.
Contribute to R&D for cutting-edge models in GenAI (text, vision, code, multimodal).
AI Agents & LLM Tooling:
Design and implement autonomous or semi-autonomous AI Agents using tools like AutoGen , LangGraph , CrewAI , etc.
Integrate external APIs, vector databases (e. g. , Pinecone, Weaviate, ChromaDB), and retrieval-augmented generation (RAG).
Continuously monitor, test, and improve LLM behavior, safety, and output quality.
Data Science & Analytics:
Explore and analyze large datasets to generate insights and inform model development.
Conduct A/B testing, model evaluation (e. g. , F1, BLEU, perplexity), and error analysis.
Work with structured, unstructured, and multimodal data (text, audio, image, etc. ).
Preferred Tech Stack / Tools:
Languages: Python, SQL, optionally Rust or TypeScript
Frameworks: PyTorch, Hugging Face Transformers, LangChain, Ray, FastAPI
Platforms: AWS, Azure, GCP, Vertex AI, Sagemaker
ML Ops: MLflow, Weights & Biases, DVC, Kubeflow
Data: Pandas, NumPy, Spark, Airflow, Databricks
Vector DBs: Pinecone, Weaviate, FAISS
Model APIs: OpenAI, Anthropic, Google Gemini, Cohere, Mistral
Tools: Git, Docker, Kubernetes, REST, GraphQL
Qualifications:
Bachelor s, Master s, or PhD in Computer Science, Data Science, Machine Learning, or a related field.
10+ years of experience in core ML, AI, or Data Science roles.
Proven experience building and shipping AI/ML products.
Deep understanding of LLM architectures, transformers, embeddings, prompt engineering, and evaluation.
Strong product thinking and ability to work closely with both technical and non-technical stakeholders.
Familiarity with GenAI safety, explainability, hallucination reduction, and prompt testing, computer vision
Bonus Skills:
Experience with autonomous agents and multi-agent orchestration.
Open-source contributions to ML/AI projects.
Prior startup or high-growth tech company experience.
Knowledge of reinforcement learning, diffusion models, or multimodal AI.
Job Classification
Industry: IT Services & ConsultingFunctional Area / Department: Engineering - Software & QARole Category: Software DevelopmentRole: Technical LeadEmployement Type: Full timeContact Details:
Company: NineHertzLocation(s): Jaipur
Keyskills: Product management Computer vision Product engineering data science GCP Machine learning Analytics SQL Python
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