Data Science AI/ML Lead | Fulltime | Bangalore/Remote… - Jobeax
Vacancy description
Data Science AI/ML Lead | Fulltime | Bangalore/Remote in Bangalore, भारत
Two95 International Inc.
RemoteWork from anywhere
Full-timeStandard weekly hours
40 - 50 / year
Bangalore, भारत
Title: Data Science AI/ML Lead
Location: Bangalore/remote
Type: Full-time
Salary: 40-50LPA
Notice Period: Candidates who can join within 30 days preferred
Requirements
What You'll Do
✅ Lead the architecture, development, and deployment of enterprise-scale AI/ML solutions ✅ Build AI Agents, intelligent automation workflows, and LLM integrations ✅ Drive MLOps, CI/CD, and ML infrastructure best practices ✅ Design and optimize scalable AWS-based data pipelines and analytics platforms ✅ Develop production-grade APIs and model-serving solutions ✅ Integrate enterprise systems such as SAP and Salesforce ✅ Mentor engineering teams and provide technical leadership
Required Skills
Expert Python Programming PyTorch, TensorFlow, Scikit-Learn AI Agents, LLMs & MCP Server Integration AWS Services (Glue, Lambda, Athena, S3, Step Functions, SNS, SES, IAM) Docker, CI/CD, MLOps REST API Design & Production ML Deployments
Benefits
If Interested please send your updated resume to: [email protected] and include your rate/Salary requirement along with your contact details with a suitable time when we can reach you. If you know of anyone in your sphere of contacts, who would be a perfect match for this job then, we would appreciate if you can forward this posting to them with a copy to us.
We look forward to hearing from you at the earliest.
... specific models).- Experienced in ML libraries (scikit-learn, TensorFlow or similar) is a definite plus.- Solid understanding of AI architecture, embeddings, vector databases.- Experience with model deployment, monitoring, and CI/CD.- Familiarity with cloud AI platforms like Azure, AWS, GCP and cloud-based data and ML services.- ...
Role : AI & Data Science Lead (Pharma/Life Sciences)Experience : 7+ yearsLocation/Mode : Bangalore, WFO (Hybrid)Must Have Skills : - 7+ years in Data Science & AI Leadership : Extensive experience in Advanced Analytics, specifically within Pharma or Life Sciences, showing a clear evolution from classical DS to AI-driven ...
... prescriptions with high accuracy.- Fine-tune, evaluate, and benchmark foundation models on domain-specific clinical datasets.- Implement feature engineering, data extraction pipelines, and data preprocessing workflows.3. Production MLOps, Security & Engineering Leadership:- Implement robust MLOps practices using MLflow, ...
... ROLE OVERVIEW We are looking for a Lead Engineer – AI/ML with strong expertise in Generative AI, LLMs, RAG and cloud technologies to design and deliver scalable AI solutions. ? MUST-HAVE SKILLS • Python • LLMs & Generative AI • RAG Chatbots • CI/CD • Azure & AWS • AI/ML solution development ? GOOD TO HAVE • scikit-learn • ...
Role Overview : We are seeking a high-caliber Data Scientist and AI/ML Engineer to join our innovation hub in Gurgaon. In this role, you will bridge the gap between complex data architecture and cutting-edge Generative AI applications, working closely with cross-functional product teams and business stakeholders to solve ...
... is: # LI Hybrid This role is contributing to the AUMA Business in Bangalore Location. You will be mainly accountable for: - Design, develop, and operationalize ML-driven models to forecast revenue, costs, cash flow, and other key financial metrics — owning the complete ML lifecycle from data preparation and feature engineering ...
... is: # LI Hybrid This role is contributing to the AUMA Business in Bangalore Location. You will be mainly accountable for: - Design, develop, and operationalize ML-driven models to forecast revenue, costs, cash flow, and other key financial metrics - owning the complete ML lifecycle from data preparation and feature engineering ...
... is: # LI Hybrid This role is contributing to the AUMA Business in Bangalore Location. You will be mainly accountable for: - Design, develop, and operationalize ML-driven models to forecast revenue, costs, cash flow, and other key financial metrics — owning the complete ML lifecycle from data preparation and feature engineering ...
... Own Customer AI/ML Delivery : Take complete ownership of existing enterprise AI and ML customer commitments, ensuring zero disruption to live deployments and maintaining high levels of customer satisfaction.- Lead the Data Science Team : Lead and scale the data science and applied ML organization. Foster a culture of innovation, ...