| Job Description: |
Descriptions:
"1) Knowledge in Design, build, and optimize LLM based autonomous agents for reasoning, planning, and task execution.
2) Integrate with Data engineer and Data Scientists to suggest and build the AI Agentic solution for automating business workflow E2E.
3) Develop and deploy machine learning models, including supervised, unsupervised, and deep learning approaches.
4) Perform data exploration, feature engineering, and statistical analysis on large datasets.
5) Build pipelines for model training, tuning, evaluation, and monitoring.
6) Collaborate with business stakeholders to translate business problems into analytical solutions.
7) Perform data transformation using Python, SQL, Spark, Beam, or similar frameworks.
8) Build Scalable ML Pipeline, integrate Gen AI with Enterprise System API’s
9) Build and maintain RAG pipelines using vector databases (e.g., FAISS, Pinecone, Chroma).
10) Experience with software development best practices including using git-based source control,
11) Knowledge of Advanced PL/SQL and scripting for automation
12) Very Good communication skill."
1)Knowledge in Design| build| and optimize LLM based autonomous agents for reasoning| planning| and task execution.2)Integrate with Data engineer and Data Scientists to suggest and build the AI Agentic solution for automating business workflow E2E. 3)Develop and deploy machine learning models| including supervised| unsupervised| and deep learning approaches. 4)Perform data exploration| feature engineering| and statistical analysis on large datasets. 5)Build pipelines for model training| tuning| evaluation| and monitoring. 6)Collaborate with business stakeholders to translate business problems into analytical solutions.7)Perform data transformation using Python| SQL| Spark| Beam| or similar frameworks.8)Build Scalable ML Pipeline| integrate Gen AI with Enterprise System APIs9)Build and maintain RAG pipelines using vector databases (e.g.| FAISS| Pinecone| Chroma). 10)Experience with software development best practices including using git-based source control|11)Knowledge of Advanced PLSQL and scripting for automation12)Very Good communication skill.Python| FastAPIFlask LLMs (OpenAI| Gemini| Claude| Llama| Mistral| etc.) Agent frameworks (LangChain| AutoGen| CrewAI| etc.) Vector databases (FAISS| Pinecone| Chroma| Weaviate) Embeddings| RAG| semantic searchHands on experience in GCP| Vertex AI| Agentic Solution development| maintenance activities.Machine learning Multi agent orchestration frameworks| Workflow tools (Airflow| Prefect)Generative reasoning optimization (chain of thought| tree of thought| RAP)Knowledge of enterprise guardrails Responsible AIExperience with automation platforms (UiPath| Power Automate| etc.Data Engineering| python NumPy Matplotlib Libraires Knowledge of Advanced PLSQL and scripting for automationMust have good knowledge on Agile Must have exposure GitHub| Jupiter GCP |ML CertifiedPySpark Python certified Snowflake| AWS cloud knowledge.
Essential Skills: 1)Knowledge in Design| build| and optimize LLM based autonomous agents for reasoning| planning| and task execution.2)Integrate with Data engineer and Data Scientists to suggest and build the AI Agentic solution for automating business workflow E2E. 3)Develop and deploy machine learning models| including supervised| unsupervised| and deep learning approaches. 4)Perform data exploration| feature engineering| and statistical analysis on large datasets. 5)Build pipelines for model training| tuning| evaluation| and monitoring. 6)Collaborate with business stakeholders to translate business problems into analytical solutions.7)Perform data transformation using Python| SQL| Spark| Beam| or similar frameworks.8)Build Scalable ML Pipeline| integrate Gen AI with Enterprise System APIs9)Build and maintain RAG pipelines using vector databases (e.g.| FAISS| Pinecone| Chroma). 10)Experience with software development best practices including using git-based source control|11)Knowledge of Advanced PLSQL and scripting for automation12)Very Good communication skill.Python| FastAPIFlask LLMs (OpenAI| Gemini| Claude| Llama| Mistral| etc.) Agent frameworks (LangChain| AutoGen| CrewAI| etc.) Vector databases (FAISS| Pinecone| Chroma| Weaviate) Embeddings| RAG| semantic searchHands on experience in GCP| Vertex AI| Agentic Solution development| maintenance activities.Machine learning Multi agent orchestration frameworks| Workflow tools (Airflow| Prefect)Generative reasoning optimization (chain of thought| tree of thought| RAP)Knowledge of enterprise guardrails Responsible AIExperience with automation platforms (UiPath| Power Automate| etc.Data Engineering| python NumPy Matplotlib Libraires Knowledge of Advanced PLSQL and scripting for automationMust have good knowledge on Agile Must have exposure GitHub| Jupiter GCP |ML CertifiedPySpark Python certified Snowflake| AWS cloud knowledge.
Desirable Skills:
Keyword:
Skills: Digital : Machine Learning
Experience Required: 8-10 |
