4883 AI Specialists jobs in Bengaluru
Senior AI Development Engineer
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Multiple positions for GEN AI .
-Immediate joiners only
We have 20 positions looking for immediate joiners. Kindly apply.
1.AI Engineer / GenAI Developer
Experience :- Minimum 5 years AI Development
Location :- any NTT Data Location - Hybrid Remote (1 day / week from office)
Shift Timing :– 02:00 PM to 12:00 AM IST ;
MUST Have Mandatory skills (non-negotiable)
- Minimum 5 Year development experience using Python, RAG, Agentic AI, ADK, MCP, GCP, Vertex AI, IBM Watsonx
- Hands on experience with AgenticAI Development, RAG Pipelines, LLM
- 1+ year of experience with frameworks like LangChain, LlamaIndex, OpenAI, or similar tools
2 GCP AI Infrastructure Engineer
Position :- GCP AI Infrastructure engineer
Experience :- Minimum 8 years relevant in Machine Learning
Location :- any NTT Data Location - Hybrid Remote (1 day / week from office)
Rate Card :- Rs 1000/hr
Shift Timing :– 02:00 PM to 12:00 AM IST ;
MUST Have Mandatory skills (non-negotiable)
- Minimum 5 Year experience with Google Cloud infrastructure DevOps, Google Cloud Platform (GCP), especially Vertex AI
- Experience with IBM Watsonx for AI application
- Experience with CI/CD tools (GitHub Actions, GitLab CI, Jenkins) and IaC tools (Terraform, Pulumi, Ansible, Deployment Manager)
3 Machine Learning Engineer (Production & MLOps Focus
Experience :- Minimum 5 years relevant in Machine Learning ;
Minimum 5 Year experience with MLOps, or large-scale AI/DS systems
- Hands on with Python (scikit-learn, PyTorch, TensorFlow, XGBoost, etc.) and SQL
- Hands on Experience with deploying ML models at scale in cloud environments (GCP Vertex AI, AWS SageMaker, Azure ML)
- Experience with containerization (Docker, Kubernetes) & orchestration (Airflow, TFX, Kubeflow), should be familiar with CI/CD pipelines, Infrastructure-as-Code (Terraform/Helm)
Location :- any NTT Data Location - Hybrid Remote (1 day / week from office)
Shift Timing :– 02:00 PM to 12:00 AM IST
4 Senior MLOps / AIOps Platform Engineer
Position :- Senior MLOps / AIOps Platform Engineer
Experience :- Minimum 5 years relevant in MLOps / AIOps
Location :- any NTT Data Location - Hybrid Remote (1 day / week from office)
Shift Timing :– 02:00 PM to 12:00 AM IST;
5+ years in MLOps, DevOps, Platform Engineering, or Infrastructure Engineering.
- 2+ years applying DevSecOps practices (secure CI/CD, vulnerability management, policy enforcement).
- Hands-on experience configuring and managing enterprise AI/ML platforms (IBM watsonx, Google Vertex AI).
- Demonstrated success in building and scaling ML infrastructure, automation pipelines, and platform support models.
5 - Lead Machine Learning Engineer (Production & MLOps Focus)
Lead Machine Learning Engineer (Production & MLOps Focus)
Experience :- Minimum 8 years relevant in Machine Learning
Location :- any NTT Data Location - Hybrid Remote (1 day / week from office)
Shift Timing :– 02:00 PM to 12:00 AM IST;
Minimum 8 Year experience with MLOps, or large-scale AI/DS systems
- Hands on with Python (scikit-learn, PyTorch, TensorFlow, XGBoost, etc.) and SQL
- Hands on Experience with deploying ML models at scale in cloud environments (GCP Vertex AI, AWS SageMaker, Azure ML)
- Experience with containerization (Docker, Kubernetes) & orchestration (Airflow, TFX, Kubeflow), should be familiar with CI/CD pipelines, Infrastructure-as-Code (Terraform/Helm)
Company Name: VARITE INDIA PRIVATE LIMITED
About The Client: A global IT services and consulting company, multinational information technology (IT), headquartered in Tokyo, Japan. The Client offers a wide array of IT services, including application development, infrastructure management, and business process outsourcing. Their consulting services span business and technology, while their digital solutions focus on transformation and user experience design. It excels in data and intelligence services, emphasizing analytics, AI, and machine learning. Additionally, their cybersecurity, cloud, and application services round out a comprehensive portfolio designed to meet the diverse needs of businesses worldwide.
How to Apply: Interested candidates are invited to submit their resume using the apply online button on this job post.
About VARITE: VARITE is a global staffing and IT consulting company providing technical consulting and team augmentation services to Fortune 500 Companies in USA, UK, CANADA and INDIA. VARITE is currently a primary and direct vendor to the leading corporations in the verticals of Networking, Cloud Infrastructure, Hardware and Software, Digital Marketing and Media Solutions, Clinical Diagnostics, Utilities, Gaming and Entertainment, and Financial Services.
Equal Opportunity Employer: VARITE is an equal opportunity employer. We celebrate diversity and are committed to creating an inclusive environment for all employees. We do not discriminate on the basis of race, color, religion, sex, sexual orientation, gender identity or expression, national origin, age, marital status, veteran status, or disability status.
Unlock Rewards: Refer Candidates and Earn.
If you're not available or interested in this opportunity, please pass this along to anyone in your network who might be a good fit and interested in our open positions. VARITE offers a Candidate Referral program, where you'll receive a one-time referral bonus based on the following scale if the referred candidate completes a three-month assignment with VARITE.
Exp Req - Referral Bonus
0 - 2 Yrs.
- INR 5,000
2 - 6 Yrs.
- INR 7,500
6 + Yrs.
- INR 10,000
AI Agent Development Specialist
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Project description
We are looking out for team of AI Engineers for a strategic initiative to build Agentic AI use cases around Trading Surveillance. The customer have identified a set of use cases they want to develop internally with an Hackatlon model, having a team of expert working closely with the business and developing prototype with their supervision.
Responsibilities
- Define, design, and implement scalable, robust, and secure Java-based applications (Microservices) architectures.
- Provide technical leadership, mentorship, and direction to development teams in implementing the architecture and following best practices.
- Oversee the development of Java applications, frameworks, and microservices, ensuring high-quality code and adherence to project timelines.
- Lead efforts to improve application performance, scalability, and security through efficient architecture and code design.
- Evaluate and recommend appropriate frameworks, libraries, and tools to enhance the application architecture and development process.
- Work closely with product managers, business analysts, and other stakeholders to align technical solutions with business needs.
- Enforce coding standards and best practices through code reviews and the establishment of development guidelines.
- Ensure that applications meet security standards and comply with industry regulations.
- Keep up with the latest industry trends, technologies, and frameworks to drive continuous architectural improvement.
Skills
Must have
- Minimum of 6 to 9 years of experience to implement the solution
- Skills required:
- Building AI Agents
- Large Language Models prompt engineering and fine tuning
- Retrieval Augmented Generation
- Guardrails
- AI Orchestration and interfaces with existing applications
- Main technologies:
- Langchain
- Edio
- Gradio
- Python
- Streamlit
Nice to have
- Tesseract OCR (nice to have)
AI Application Development Specialist
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We are seeking a skilled Full-Stack AI Engineer to join our dynamic team. The ideal candidate will have hands-on experience with LangChain, large language models (LLMs), Fine Tuning, and API integration.
You will play a key role in developing AI agents, implementing Retrieval-Augmented Generation (RAG), and managing data scraping and structuring workflows.
Key Responsibilities:
- Develop and deploy AI agents leveraging LangChain and LLMs.
- Integrate APIs and design robust frameworks for seamless functionality.
- Implement data scraping and structuring pipelines.
- Design and optimize Retrieval-Augmented Generation (RAG) systems.
- Collaborate with cross-functional teams to deliver scalable solutions.
Qualifications:
- Proficiency in LangChain and working with large language models.
- Experience with Python frameworks such as FastAPI.
- Familiarity with data scraping and structuring techniques.
- Understanding of RAG and other data retrieval methodologies.
- Strong problem-solving skills and ability to work in a collaborative environment.
- Familiarity with AWS.
Preferred Skills:
- Knowledge of deployment pipelines and DevOps practices.
AI Model Development Specialist
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Skills/Qualifications:
- Bachelor's or Master's degree in Computer Science, Machine Learning, Data Science, or a related field.
- 5-6 years of hands-on experience in developing and deploying machine learning models.
- Proficiency in programming languages such as Python, R, or Java.
- Strong understanding of forecasting & revenue ERP environments (e.G.: Salesforce & SAP ECC)
- Strong knowledge of machine learning frameworks (e.G., TensorFlow, PyTorch) and libraries (e.G., scikit-learn).
- Experience with data preprocessing, feature engineering, and model evaluation techniques.
- Familiarity with cloud platforms (e.G., Azure & AWS) and containerization tools (e.G., Docker, Kubernetes)
- Excellent problem-solving and critical-thinking skills.
- Effective communication and collaboration skills.
AI Business Development executive
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Company Description
DiponEd is an innovative healthcare biotechnology R&D-driven company. We manufacture scientifically proven personal care products that meet global standards. By leveraging biotechnology and biomedical engineering, we address unmet healthcare needs through a personalized approach. Our products range from cellular therapies to 3D-printed biomaterials, focusing on areas such as genetic predispositions, cancer-integrated therapies, and skin and hair treatments. Located in Bengaluru, we are committed to making high-quality, efficacious, and affordable healthcare solutions accessible to all.
Role Description
This is a full-time, on-site role for an AI Business Development Executive located in Bengaluru. The AI Business Development Executive will be responsible for identifying new business opportunities, generating leads, and managing business accounts. Daily tasks will include market research, client communications, and developing business strategies to meet company growth objectives. Effective communication and the ability to build and maintain client relationships are crucial for success in this role.
Qualifications
- Skills in New Business Development and Lead Generation
- Business and Account Management skills
- Strong Communication skills
- Excellent interpersonal skills and team collaboration ability
- Experience in AI or technology sales is a plus
- Bachelor's degree in Business, Marketing, or a related field
AI Software Development Engineer
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General Expectation:
- Designs, develops, integrates, tests, validates, and/or debugs software to enable Intel product features to enable or utilize Artificial Intelligence, including machine learning,deep learning, and GenAI.
- Understands internal and external partner software and develops software across the stack (spanning firmware, drivers, OS, middleware, frameworks, algorithms, and applications) as required to enable and optimize specific AI features, capabilities, solutions, reference platforms, or Intel products.
- Includes the development of reference AI software and improving or enabling customer designs to obtain the greatest value of Intel AI products, the development and/or optimization of workloads for AI benchmarks, and workloads for simulation to support preSi power and performance analysis and architecture recommendations.
Role Specific Expectation:
In this role, you are expected to drive, develop, and enable adoption of GenAI based solutions on Intel portfolio. The solutions are focused on edge deployment which brings with it unique challenges on performance - accuracy tradeoff, selection of models, and design of the overall (multimodal) use case.
You will own the SW stack, collaborate with key stakeholders (internal and external), and drive the adoption of Intel Si through such SW. You should have hands-on experience developing GenAI solutions addressing real world use cases. Experience working with GenAI frameworks like LangChain, LlamaIndex etc., excellent view of GenAI foundation model landscape with specific focus on downstream SLMs derived from it for Edge deployments, experience working on vision/video analytics pipelines, performance optimization, experience with open-source development, training/inference background etc. is preferred.
*Qualifications: *
- Masters in Computer Science/Engineering, Electronic Engineering, or Electrical Engineering. Experience - 7+ Years.
- Development experience in Linux environment (multiple distributions like deb, RPM etc.) and developing open-source SW including upstream experience. SDL knowhow is an added plus.
- Proficiency in Python and C++ programming.
- Experience of at least 8 years in SW development.
- Excellent written and verbal communication skills
- Relevant experience in AI domain with GenAI, Models, training, inference, AI frameworks etc.
AI Application Development Engineer
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Location : Remote / Bangalore
Employment Type : Full-time
Department : AI & Research
Industry : IT Services & Consulting
Role Category : AI/ML – Generative AI
As a Generative AI Engineer , you will be responsible for designing, developing, and deploying generative AI models, large language model (LLM) applications, and agentic flows. Your core responsibilities will include:
- Build Production RAG/Agentic Flows : Develop and implement advanced retrieval-augmented generation (RAG) flows, including tasks like chunking/embeddings, retrieval, tool/function calling, and caching for scalable AI solutions.
- Evaluation Harnesses : Implement evaluation frameworks to assess model quality based on key metrics such as groundedness, relevance, and completeness. Perform regression checks to ensure the stability of models over time.
- Guardrails & Content Safety : Integrate content safety measures, guardrails, and proactive monitoring systems to ensure responsible AI usage. You will be responsible for documenting prompts/configs and optimizing for cost and latency considerations.
- API/SDK Development : Develop and ship high-performance APIs/SDKs used by both web and mobile teams, ensuring seamless integration of AI-driven features.
- Cross-functional Collaboration : Collaborate with different teams to ensure that the AI solutions meet the needs of the business while maintaining high quality and compliance standards.
- Experience : 1–2 years of experience in backend/application development with a focus on AI/ML systems, especially in Generative AI , LLMs , and AI-powered applications .
- Technical Skills :
- Proficiency in backend programming languages like Python or TypeScript .
- Practical experience working with Generative AI models , especially around model deployment, prompt engineering, and scaling solutions.
- Familiarity with Vector Databases (e.G., Pinecone, Weaviate) for managing embeddings and data retrieval.
- Experience with tools like LangChain or LlamaIndex for building AI-powered systems.
- Understanding of caching strategies to optimize system performance.
- Knowledge of observability principles and tracing techniques to monitor AI model performance in production environments.
- Education :
- B.E/B.Tech/M.E/M.Tech/MCA or equivalent in Computer Science, AI, Data Science, or a related field.
- Generative AI
- RAG (Retrieval-Augmented Generation)
- LLMs (Large Language Models)
- Embeddings
- Vector Databases (e.G., Pinecone, Faiss)
- Prompting Techniques
- LangChain/LlamaIndex
- FastAPI
- Node.Js/TypeScript
- Caching
- Observability
- Model Deployment
- Content Safety
- Monitoring & Analytics
- Backend Development (Python/TypeScript)
- Immediate to 30 days preferred .
#GenerativeAI #BackendDevelopment #LLMs #AI #AIEngineer #RAG #Embeddings #VectorDB #LangChain #LlamaIndex #Python #TypeScript #API #Caching #Observability #AIResearch #ContentSafety #FastAPI #NodeJS #TechJobs #RemoteJobs #BangaloreJobs #AIinIT #ITConsulting #MachineLearning #AIandML
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AI Research & Development Engineer
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Who You Are
You're an ML Research Engineer with 2+ years of experience who bridges the gap between
cutting-edge research and production systems. You're passionate about training models that
perform exceptionally well not just on benchmarks but in real-world applications. You enjoy
diving deep into model architectures, experimenting with training techniques, and building
robust evaluation frameworks that ensure model reliability in critical applications.
Responsibilities
● Train and fine-tune models for speech recognition and natural language processing in
multilingual healthcare contexts
● Develop specialized models through fine-tuning and optimization techniques for
domain-specific tasks
● Design and implement comprehensive evaluation frameworks to measure model
performance across critical metrics
● Build data pipelines for collecting, annotating, and augmenting training datasets
● Research and implement state-of-the-art techniques from academic papers to improve
model performance
● Collaborate with AI engineers to deploy optimized models into production systems
● Create synthetic data generation pipelines to address data scarcity challenges
Qualifications
Required
● 2+ years of experience in ML/DL with focus on training and fine-tuning production
models
● Deep expertise in speech recognition systems (ASR) or natural language processing
(NLP), including transformer architectures
● Proven experience with model training frameworks (PyTorch, TensorFlow) and
distributed training
● Strong understanding of evaluation metrics and ability to design domain-specific
benchmarks
● Experience with modern speech models (Whisper, Wav2Vec2, Conformer) or LLM
fine-tuning techniques (LoRA, QLoRA, full fine-tuning)
● Proficiency in handling multilingual datasets and cross-lingual transfer learning
● Track record of improving model performance through data engineering and
augmentation strategies
Nice to Have
● Published research or significant contributions to open-source ML projects
● Experience with model optimization techniques (quantization, distillation, pruning)
● Background in low-resource language modeling
● Experience building evaluation frameworks for production ML systems
AI Model Development Engineer
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About Ascendion
Ascendion is a leading provider of AI-powered software engineering solutions that help businesses innovate faster, smarter, and with greater impact. We partner with over 400 Global 2000 clients across North America, APAC, and Europe to tackle complex challenges in applied AI, cloud, data, experience design, and workforce transformation. Powered by more than 11,000 experts, a bold culture, and our proprietary Engineering to the Power of AI (EngineeringAI) approach, we deliver outcomes that build trust, unlock value, and accelerate growth. Headquartered in New Jersey, with 40+ global offices, Ascendion combines scale, agility, and ingenuity to engineer what’s next.
Ascendion | Engineering to elevate life |
We have a culture built on opportunity, inclusion, and a spirit of partnership. Come, change the world with us:
- Build the coolest tech for the world’s leading brands
- Solve complex problems - and learn new skills
- Experience the power of transforming digital engineering for Fortune 500 clients
- Master your craft with leading training programs and hands-on experience
Experience a community of change-makers!
Join a culture of high-performing innovators with endless ideas and a passion for tech. Our culture is the fabric of our company, and it is what makes us unique and diverse. The way we share ideas, learning, experiences, successes, and joy allows everyone to be their best at Ascendion.
About the Role:
Job Title : Gen AI Engineer
Work Location : Bengaluru, Hyderabad, Chennai (hybrid work)
Description:
We are seeking a talented and motivated Senior-level Gen AI/AI Engineer to join our team. In this role, you will be responsible for designing, developing, and deploying innovative AI solutions, with a focus on generative AI and RAG architectures. You will also contribute to the strategic direction of our AI initiatives by providing technical leadership, mentoring junior team members, and ensuring best practices in AI development. You will work closely with cross-functional teams to bring cutting-edge AI products to market.
Key Responsibilities:
AI Strategy & Leadership:
- Provide technical guidance and thought leadership on generative AI technologies and their applications.
- Mentor and support junior engineers, promoting skill development and adherence to best practices.
- Collaborate with product leaders and stakeholders to shape AI-driven solutions aligned with business objectives.
Model Development and Fine-tuning:
- Develop and fine-tune state-of-the-art generative AI models, such as large language models and image generation models.
- Implement techniques for model optimization, including quantization, pruning, and knowledge distillation.
RAG Architecture:
- Design and implement robust RAG architectures to enable efficient information retrieval and generation.
- Integrate diverse data sources and knowledge bases into RAG systems.
- Optimize query processing and response generation for optimal performance.
AI System Development:
- Build scalable and reliable AI systems, including APIs, microservices, and data pipelines.
- Collaborate with ML Ops engineers to deploy and manage AI models in production environments.
- Ensure adherence to security, compliance, and responsible AI practices.
Experimentation and Innovation:
- Stay up-to-date with the latest advancements in AI research and explore new techniques.
- Conduct experiments to improve model performance and system efficiency.
- Contribute to a culture of innovation and continuous learning.
Qualifications and Experience:
- Bachelor's degree in Computer Science, Computer Engineering, or a related field (Master’s degree preferred).
- 6+ years of experience in AI/ML, with a strong focus on generative AI and RAG architectures.
- Proven experience in leading or contributing to complex AI projects from ideation to deployment.
- Strong programming skills in Python and experience with deep learning frameworks (TensorFlow, PyTorch, etc.).
- Strong and demonstrable skills in GenAI technologies, such as OpenAI, Anthropic, or Llama.
- Hands-on experience with natural language processing (NLP), computer vision, and machine learning techniques.
- Knowledge of cloud platforms (AWS, Azure, GCP) and their AI/ML services.
- Familiarity with MLOps, CI/CD pipelines, and containerization (Docker, Kubernetes).
- Excellent communication, problem-solving, and stakeholder management skills.
- Ability to balance research-oriented exploration with practical engineering execution.
Want to change the world? Let us know.
Tell us about your experiences, education, and ambitions. Bring your knowledge, unique viewpoint, and creativity to the table. Let’s talk!
AI Application Development Engineer
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JOB SUMMARY:
We are seeking a highly skilled Generative AI Engineer to lead and support the development and deployment of cutting-edge AI solutions. You will work at the intersection of LLMs , prompt engineering , RAG (Retrieval-Augmented Generation) frameworks, and scalable cloud infrastructure . This role demands a strong foundation in AWS services , deep understanding of LLMs like Claude , and hands-on experience with tools like LangChain and LangGraph .
Key Responsibilities:
- Design and implement Generative AI applications leveraging LLMs (e.G., Claude, OpenAI, Mistral, etc.)
- Develop and optimize RAG pipelines using LangChain , LangGraph , and vector databases
- Integrate with LLM APIs (Anthropic Claude, OpenAI, AWS Bedrock, etc.)
- Architect scalable AI solutions on AWS infrastructure (EC2, Lambda, S3, Bedrock, SageMaker)
- Collaborate with ML Engineers and Product teams to define LLM use cases and prototypes
- Deploy and maintain AI pipelines in production environments
- Implement secure, robust data pipelines for knowledge ingestion and retrieval
- Explore and experiment with fine-tuning and prompt optimization techniques
- Stay current with the latest trends in Generative AI , Foundation Models , and ML Ops
Required Skills:
- 3+ years of experience working with LLMs and Generative AI frameworks
- Proficiency with LangChain and LangGraph for building RAG-based applications
- Hands-on experience with AWS AI services , including Bedrock , SageMaker , and Lambda
- Experience integrating with Claude , OpenAI GPT , or similar APIs
- Strong understanding of RAG (Retrieval-Augmented Generation) architectures
- Proficiency in Python , with knowledge of relevant AI/ML and data libraries
- Experience deploying AI solutions using Docker , CI/CD pipelines , and serverless architecture
- Familiarity with Vector Databases (e.G., FAISS, Pinecone, Weaviate, Amazon Kendra)
- Understanding of data security , privacy , and AI governance