6,333 Junior AI jobs in India

• Develop and implement comprehensive AI ethics frameworks, policies, and best practices for the organization.
• Conduct ethical impact assessments for new AI products, features, and research initiatives.
• Advise AI development teams on identifying and mitigating ethical risks related to bias, fairness, privacy, accountability, and transparency.
• Collaborate with legal, policy, and engineering teams to ensure compliance with emerging AI regulations and ethical standards.
• Stay abreast of the latest research, discourse, and challenges in AI ethics and responsible innovation.
• Develop training materials and conduct workshops to educate employees on AI ethics principles.
• Serve as an internal and external thought leader on AI ethics issues.
• Facilitate discussions and build consensus on complex ethical dilemmas related to AI.
• Contribute to the design of AI systems that prioritize human values and societal well-being.
• Monitor and evaluate the ethical implications of deployed AI systems.

• Advanced degree (Master's or Ph.D.) in Ethics, Philosophy, Law, Computer Science, Public Policy, or a related interdisciplinary field with a focus on technology ethics.
• Minimum of 6 years of experience working in AI ethics, responsible innovation, or technology policy.
• Strong understanding of machine learning concepts and the technical aspects of AI systems.
• In-depth knowledge of ethical theories and frameworks, particularly as they apply to technology.
• Experience in conducting ethical risk assessments and developing mitigation strategies.
• Excellent analytical, critical thinking, and problem-solving skills.
• Exceptional communication, presentation, and interpersonal skills, with the ability to engage diverse stakeholders.
• Familiarity with AI governance, regulations, and standards is highly desirable.
• Ability to work independently and lead initiatives in a remote setting.
• A passion for ensuring that AI is developed and used for the benefit of humanity.

• Develop, refine, and enforce ethical frameworks and policies for AI development and deployment.
• Conduct thorough ethical risk assessments and bias audits for AI models and algorithms.
• Collaborate closely with AI researchers, engineers, legal teams, and product managers to integrate ethical considerations into the entire AI lifecycle.
• Advise on issues of fairness, accountability, transparency, privacy, and societal impact of AI systems.
• Research emerging ethical challenges and best practices in AI.
• Develop training materials and deliver workshops on AI ethics to internal teams.
• Engage with external stakeholders, policymakers, and academic institutions on AI ethics topics.
• Contribute to the company's thought leadership in responsible AI.

• Advanced degree (Master's or Ph.D.) in Philosophy, Ethics, Law, Computer Science, or a related field with a specialization in AI ethics or technology ethics.
• Minimum of 5 years of experience focusing on AI ethics, technology policy, or responsible innovation.
• Deep understanding of AI/ML concepts and their ethical implications.
• Proven experience in developing ethical guidelines, conducting risk assessments, and advising on complex ethical issues.
• Excellent research, analytical, and critical thinking skills.
• Strong written and verbal communication skills, with the ability to articulate complex ethical concepts clearly.
• Demonstrated ability to work effectively in a remote, collaborative environment.
• Experience with global AI regulations and standards is a plus.

• Develop and implement AI ethics policies, principles, and guidelines.
• Conduct ethical impact assessments for AI projects and products.
• Collaborate with AI/ML teams to integrate ethical considerations into the development lifecycle.
• Provide expert advice and training on responsible AI development and deployment.
• Monitor emerging ethical issues, regulatory changes, and industry best practices in AI.
• Engage with external stakeholders, including academics, policymakers, and civil society, on AI ethics topics.
• Contribute to research and thought leadership in the field of AI ethics.
• Develop frameworks for mitigating bias, ensuring fairness, and promoting transparency in AI systems.
• Advocate for ethical decision-making across the organization.

• Master's or Ph.D. in Ethics, Philosophy, Law, Social Sciences, Computer Science with an ethics focus, or a related field.
• 5+ years of experience in AI ethics, responsible AI, or a related field.
• Deep understanding of AI and Machine Learning concepts and applications.
• Proven experience in developing ethical frameworks, policies, and guidelines.
• Familiarity with AI bias, fairness, accountability, and transparency issues.
• Excellent analytical, research, and problem-solving skills.
• Strong communication and presentation skills, with the ability to explain complex ethical concepts clearly.
• Experience in stakeholder engagement and cross-functional collaboration.
• Knowledge of global AI regulations and ethical standards.

Hi,

We are hiring for one of our client IT services company based in UK

Job Title : AI Engineer / AI Consultant

Experience : 3-5 Years

Salary Bracket : 3-6 LPA

Job Location : Bhubaneswar

Job Description :

The AI Engineer will be responsible for building, maintaining, and optimizing the AI Centre of Excellence’s (CoE) infrastructure. This role focuses on hands-on deployment, reliability, and operational excellence to ensure secure, scalable, and cost-efficient AI systems.

Key Responsibilities:

Deploy and manage cloud/on-prem GPU environments and development systems.

Maintain system administration, monitoring, and backup/recovery processes.

Install and manage AI frameworks (TensorFlow, PyTorch, Hugging Face, etc.).

Set up containerized and reproducible environments (Docker, Kubernetes).

Implement data-security and access-control policies aligned with Responsible AI standards.

Monitor cloud and GPU utilization for cost and performance optimization.

Provide technical support, training, and documentation for faculty and students.

Skills & Competencies:

Proficiency in AI frameworks and tools (Python, TensorFlow, PyTorch).

Experience with DevOps tools (Docker, Kubernetes, Git).

Cloud expertise (AWS, Azure, GCP).

Knowledge of CI/CD pipelines and version control.

Strong understanding of data security and ethical AI compliance.

• Design, develop, and implement sophisticated AI-powered chatbots and virtual assistants.
• Utilize NLP and machine learning techniques to improve conversational AI capabilities.
• Integrate chatbots with various platforms and backend systems.
• Train and fine-tune AI models for optimal performance and accuracy.
• Conduct thorough testing and debugging of chatbot applications.
• Analyze user interactions and feedback to identify areas for enhancement.
• Collaborate with cross-functional teams, including product managers and UX designers, to define chatbot features and functionality.
• Stay current with the latest advancements in AI, NLP, and conversational design.
• Develop and maintain technical documentation for chatbot solutions.
• Optimize chatbot performance for scalability and efficiency.

• Bachelor's or Master's degree in Computer Science, Artificial Intelligence, Linguistics, or a related field.
• Proven experience in developing and deploying AI-powered chatbots.
• Strong understanding of NLP concepts, libraries (e.g., NLTK, spaCy), and frameworks (e.g., Rasa, Dialogflow, Bot Framework).
• Proficiency in programming languages such as Python, Java, or JavaScript.
• Experience with machine learning algorithms and frameworks (e.g., TensorFlow, PyTorch).
• Familiarity with cloud platforms (AWS, Azure, GCP) and API integrations.
• Excellent problem-solving and analytical skills.
• Strong communication and collaboration abilities, especially in a remote setting.
• A portfolio showcasing previous chatbot or conversational AI projects.
• Passion for innovation and staying ahead of technological trends.

Position : AI/ML (Gen AI)

Experience : 5+ years of experience in AI/ML

Work Mode : Office

Work Location : Bangalore, Pune, Mumbai, Hyderabad, Chennai, Coimbatore, Ahmedabad

Interview Mode : 1st round Virtual | 2nd round F2F at Bangalore or Pune

About Apexon:

Apexon is a digital-first technology services firm specializing in accelerating business transformation and delivering human-centric digital experiences. We have been meeting customers wherever they are in the digital lifecycle and helping them outperform their competition through speed and innovation.Apexon brings together distinct core competencies in AI, analytics, app development, cloud, commerce, CX, data, DevOps, IoT, mobile, quality engineering and UX, and our deep expertise in BFSI, healthcare, and life sciences to help businesses capitalize on the unlimited opportunities digital offers. Our reputation is built on a comprehensive suite of engineering services, a dedication to solving clients toughest technology problems, and a commitment to continuous improvement. Backed by Goldman Sachs Asset Management and Everstone Capital, Apexon now has a global presence of 15 offices (and 10 delivery centers) across four continents.

We enable #HumanFirstDigital

Job Description

We are seeking a highly skilled and motivated Software Developer with a strong background in Python to join our team. The ideal candidate will have a passion for developing automation tools to streamline our operations and reduce repetitive tasks. Additionally, the candidate will have the opportunity to contribute to our Gen AI projects, making this a great opportunity for those interested in the AI field.

Responsibilities

• Candidate should have a minimum of 6+ years overall Experience
• Relevant should be at least 3- 5 years with lead exp
• Design, develop, and implement AI applications using Python or C#.
• Work on Gen AI projects and develop tools that help the organization in reducing repetitive jobs.
• Collaborate with cross-functional teams to define, design, test and ship new features.
• Conduct regular testing of systems and software to ensure optimal functioning.
• Troubleshoot and resolve issues and defects in AI applications.
• Stay updated with the latest industry trends and technologies to ensure applications are current.
• Provide technical guidance and coaching to developers and engineers.

Skills

• Proven experience as an AI Developer or similar role.
• Proficiency in Python
• Good understanding multiple of Gen AI models (ChatGPT, LLAMA2, Mistral) and ability to setup up local GPTs using ollama, lm studio etc.
• Good understanding of RAG
• Multi agents frameworks to create workflows
• Langchain or similar tools like lamaindex, langgraph etc.
• Knowledge of Machine Learning frameworks, libraries, and tools.
• Strong understanding of algorithms and data structures.
• Excellent problem-solving skills and solution mindset
• Strong communication and teamwork skills.
• Ability to work independently and manage ones time effectively.

Our Commitment to Diversity & Inclusion :

Did you know that Apexon has been Certified by Great Place To Work, the global authority on workplace culture, in each of the three regions in which it operates: USA (for the fourth time in 2023), India (seven consecutive certifications as of 2023), and the UK.Apexon is committed to being an equal opportunity employer and promoting diversity in the workplace. We take affirmative action to ensure equal employment opportunity for all qualified individuals. Apexon strictly prohibits discrimination and harassment of any kind and provides equal employment opportunities to employees and applicants without regard to gender, race, color, ethnicity or national origin, age, disability, religion, sexual orientation, gender identity or expression, veteran status, or any other applicable characteristics protected by law. You can read about our Job Applicant Privacy policy here Job Applicant Privacy Policy (apexon.com)

Our Perks and Benefits:

Our benefits and rewards program has been thoughtfully designed to recognize your skills and contributions, elevate your learning/upskilling experience and provide care and support for you and your loved ones. As an Apexon Associate, you get continuous skill-based development, opportunities for career advancement, and access to comprehensive health and well-being benefits and assistance.

We also offer:

• Group Health Insurance covering family of 4
• Term Insurance and Accident Insurance
• Paid Holidays & Earned Leaves
• Paid Parental Leave
• Learning & Career Development
• Employee Wellness

Job Overview:

We are looking for an experienced AI Architect to lead solution design and development efforts in the areas of Agentic AI and Retrieval-Augmented Generation (RAG) . The ideal candidate will have strong experience working with large language models (LLMs), building intelligent applications using frameworks like LangChain or LlamaIndex, and designing scalable AI pipelines.

Key Responsibilities:

• Design and implement RAG-based systems combining LLMs with vector databases and internal document sources.
• Build task-based AI agents (e.g., chatbots, assistants) that can perform multi-step operations and integrate with external tools or APIs.
• Develop and maintain prompt templates , embedding pipelines, and orchestrators using frameworks like LangChain, LlamaIndex , etc.
• Work with data and ML teams to connect AI applications with enterprise knowledge sources (SharePoint, Confluence, databases, etc.).
• Evaluate and integrate embedding models , vector databases (FAISS, Pinecone, Chroma), and LLM APIs (OpenAI, Azure OpenAI, etc.).
• Collaborate with cross-functional teams to identify use cases, define architecture, and deliver PoCs or MVPs.
• Contribute to CoE documentation, reusable components, and architecture patterns for RAG and agent-based solutions.

Required Skills:

• 5 years of hands-on experience in Python with exposure to building AI/NLP applications.
• Practical experience with LLM tools like LangChain, LlamaIndex , or equivalent.
• Experience building RAG systems using vector stores and document loaders.
• Familiarity with LLM APIs such as OpenAI, Cohere, or HuggingFace models.
• Understanding of prompt design , embedding models (e.g., OpenAI, BGE, SentenceTransformers).
• Working knowledge of REST APIs , JSON , and integrating AI agents with backend systems.

AI Engineer – Generative AI & LLMs

Onsite Role - Hyderabad

Accelyst is an innovative AI Consultancy that leverages a unique catalog of industry-specific Agents and leading-edge AI platforms to deliver tangible, integrated, secure and ROI-optimized solutions. We combine deep industry and technical expertise to enable rapid deployment of innovative AI-driven capabilities to augment and automate client workflows for employees, customers, prospects, and investors.

Why Accelyst?

Join Accelyst to be part of a dynamic team that leverages AI-driven technology to make a positive impact. Our leadership, with Big Four Consulting experience, fosters a nimble, client-focused environment, minimizing bureaucracy to enhance delivery and professional growth. You'll work on complex AI projects that challenge and inspire, meeting high client expectations. Additionally, benefit from our profit-sharing model, reflecting our commitment to respect and integrity for all employees.

Job Summary:

We are looking for a skilled AI Engineer with proven experience developing and deploying large language models (LLMs) and generative AI systems. In this role, you will be responsible for designing, fine-tuning, and operationalizing models from leading providers such as OpenAI, Llama, Gemini, and Claude, along with leveraging open-source models from platforms like Hugging Face. You’ll also build robust multi-step workflows and intelligent agents using frameworks such as Microsoft AutoGen, Lang Graph, and CrewAI. This position requires strong technical expertise in generative AI, advanced software engineering abilities, fluency in Python (including FastAPI), and a solid understanding of Mlops/LLMops principles.

Responsibilities:

· LLM Solution Design & Implementation:

Architect, develop, and implement LLM-powered and generative AI solutions utilizing both proprietary and open-source technologies (e.g., GPT-4, Llama 3, Gemini, Claude). Customize and fine-tune models for tasks such as chatbots, summarization, and content classification, evaluating the suitability of LLMs for various business needs.

· Prompt Engineering & Model Tuning:

Craft, refine, and test model prompts to achieve targeted outputs. Fine-tune pre-trained LLMs using customized data and apply advanced techniques like instruction tuning or reinforcement learning with human feedback as required.

· Agentic Frameworks & Workflow Automation:

Build and maintain stateful, multi-agent workflows and autonomous AI agents using frameworks like Microsoft AutoGen, LangGraph, LangChain, LlamaIndex, and CrewAI. Develop custom tools that enable seamless API integration and task orchestration.

· Retrieval-Augmented Generation (RAG):

Design and deploy RAG pipelines by integrating vector databases (such as Pinecone, Faiss, or Weaviate) for efficient knowledge retrieval. Utilize tools like RAGAS to ensure high-quality, traceable response generation.

· LLM API Integration & Deployment:

Serve LLMs via FastAPI-based endpoints and manage their deployment using Docker containers and orchestration tools like Kubernetes and cloud functions. Implement robust CI/CD pipelines and focus on scalable, reliable, and cost-efficient production environments.

· Data Engineering & Evaluation:

Construct data pipelines for ingestion, preprocessing, and controlled versioning of training datasets. Set up automated evaluation systems, including A/B tests and human-in-the-loop feedback, to drive rapid iteration and improvement.

· Team Collaboration:

Partner with data scientists, software engineers, and product teams to scope and integrate generative AI initiatives. Communicate complex ideas effectively to both technical and non-technical stakeholders.

· Monitoring, LLMOps, & Ethics:

Deploy rigorous monitoring and observability tools to track LLM usage, performance, cost, and hallucination rates. Enforce LLMOps best practices in model management, reproducibility, explainability, and compliance with privacy and security standards.

· Continuous Learning & Thought Leadership:

Stay abreast of the latest developments in AI/LLMs and open-source innovations. Contribute to internal knowledge sharing, champion new approaches, and represent the organization at industry or academic events.

Qualifications:

· Experience: At least 3 years in machine learning engineering, with 1–2 years focused on building and deploying generative AI or LLM-based applications

Technical Skills:

Proficiency in Python and FastAPI, and experience developing RESTful APIs and microservices. Hands-on familiarity with LLM providers (OpenAI, Anthropic, Google, Meta) and with frameworks such as LangChain, LangGraph, LlamaIndex, CrewAI, AutoGen, or Transformers.

· Model Customization & Prompt Design:

Proven ability to fine-tune language models and craft effective prompts tailored to specific applications.

· Data & Retrieval:

Experience creating RAG pipelines with vector databases (e.g., Pinecone, Faiss, Weaviate) and evaluation frameworks like RAGAS.

· Deployment & Cloud:

Practical knowledge of containerization (Docker), orchestration (Kubernetes), and cloud deployments (AWS, Azure, GCP). Solid grasp of CI/CD pipelines and LLMOps practices.

· Communication & Collaboration:

Excellent teamwork and communication skills, able to bridge technical and business perspectives effectively.

· Education: Bachelor’s degree in Computer Science, Data Science, or a related field is required, a Master’s degree is preferred.

Preferred Qualifications:

· Open-Source & Community:

Participation in open-source AI/ML projects, or a strong GitHub profile showcasing relevant contributions or publications.

· Multi-Agent Systems:

Hands-on experience with advanced agentic frameworks or autonomous agent system design.

· Data Governance & Compliance:

Knowledge of data governance, security protocols, and compliance standards.

· Search & Databases:

Deep expertise in vector similarity search, indexing, and familiarity with document stores (such as MongoDB, PostgreSQL) as well as graph databases.

· Cloud-Native AI Services:

Experience with cloud-native AI services like Azure ML, Cognitive Search, or equivalent platforms for scalable generative AI deployment.