6 Bias Mitigation Jobs

Nuum X Consulting is a leader in digital transformation, AI-driven solutions, and customer experience innovations. They empower businesses with cutting-edge AI applications to enhance operational efficiency, automate workflows, and drive intelligent decision-making. As a part of the AI innovation team, you will have a significant role in developing and optimizing Generative AI solutions for real-world applications. You will be responsible for designing, developing, and deploying state-of-the-art AI-driven applications that leverage Large Language Models (LLMs), NLP, and Deep Learning. The ideal candidate should have hands-on experience in developing AI-powered applications, fine-tuning pre-trained models, and integrating AI with existing business systems. Your key responsibilities will include building and deploying AI-driven applications using GPT, LLaMA, Falcon, or similar LLMs, fine-tuning pre-trained models for domain-specific tasks, integrating AI solutions into CRMs, automation tools, and cloud-based platforms, creating robust APIs for seamless integration of generative AI capabilities, utilizing tools like FAISS, Pinecone, Weaviate for retrieval-augmented generation (RAG) capabilities, establishing monitoring pipelines for AI model drift and continuous improvement, researching and experimenting with new AI architectures and generative AI innovations, and collaborating with data scientists, engineers, and product teams to ensure seamless AI adoption. To be considered for this role, you should have a Bachelors or Masters Degree in Computer Science, AI, Machine Learning, or a related field, along with 2+ years of experience in AI/ML application development focusing on Generative AI. Proficiency in Python, TensorFlow, PyTorch, Hugging Face Transformers, and LangChain is required. Additionally, experience in LLM fine-tuning, prompt engineering, model optimization, NLP, vector databases, embeddings, and retrieval-augmented generation (RAG) is essential. Hands-on experience with cloud AI services (AWS, Azure, GCP) for model deployment, strong understanding of AI ethics, bias mitigation, and responsible AI development, as well as excellent problem-solving, communication, and collaboration skills are also necessary. Preferred qualifications include experience with MLOps, CI/CD pipelines, and model monitoring, understanding of multi-modal AI (text, image, audio generation), exposure to Reinforcement Learning with Human Feedback (RLHF), and prior experience in AI-driven automation, chatbots, or intelligent assistants. Join Nuum X Consulting for innovative AI projects, growth opportunities, access to AI research and conferences, hands-on learning, and a collaborative culture working with top AI engineers, data scientists, and innovators.,

Your role People Leadership & Culture Building Lead, mentor, and grow a high-performing AI delivery team. Foster a culture of innovation, collaboration, and continuous learning. Drive employee engagement and career development through structured programs. Champion diversity, inclusion, and psychological safety within the team. 2. Service Delivery & Operational Excellence Own end-to-end delivery of AI solutions across business units. Establish and monitor KPIs, SLAs, and quality benchmarks. Implement best practices in agile delivery, DevOps, and MLOps. Ensure scalability, reliability, and performance of AI services. 3. Customer Focus & Stakeholder Management Act as the primary point of contact for internal and external stakeholders. Translate business needs into AI-driven solutions with measurable impact. Ensure high levels of customer satisfaction and proactive issue resolution. Collaborate with cross-functional teams to align delivery with strategic goals. 4. Technical Leadership Stay abreast of emerging AI technologies and trends. Guide teams in the use of tools such as Python, TensorFlow, PyTorch, Azure ML, and LLM platforms. Oversee architecture decisions, model lifecycle management, and data governance. Promote experimentation and rapid prototyping to accelerate innovation. To succeed, you will need Experience Requirement: 10+ years of experience in AI leadership roles. Proven track record of managing team. Experience in building and scaling high-performing teams. Strong background in service delivery frameworks (ITIL, Agile, DevOps). Experience in managing multi-location or global delivery teams. Demonstrated success in driving operational efficiency and excellence. Hands-on experience with AI/ML tools and platforms (e.g., Python, TensorFlow, PyTorch, Azure ML). Experience with data engineering, model deployment, and MLOps. Familiarity with LLMs, generative AI, and prompt engineering. Experience with cloud-native architectures and microservices. Knowledge of compliance and data privacy regulations (GDPR, HIPAA). Experience with enterprise AI platforms (e.g., Databricks). Knowledge of AI ethics, bias mitigation, and responsible AI practices. Leadership Traits: Experience in change management and organizational transformation. Exposure to leadership coaching or mentoring program You are passionate and have big picture vision for this role. You have excellent communication skills, both verbal and written You are entrepreneurial and are open to different cultures You are customer focused, enthusiastic, and professional You can work under time pressure to respect deadlines You can integrate smoothly into the existing team and stimulate the knowledge sharing between your colleagues You can collaborate easily with colleagues from other business functions in the Global IT Hub and GECIA You also maintain good relations with third parties. In return, we offer An opportunity to shape the future of AI in a global organization. This is a strategic role focused on defining the roadmap for the artificial intelligence competence and achieving it. Collaborative and inclusive work environment Global exposure and opportunities This role is ideal for you, if you wish to challenge yourself on the technological front and creating a competence centre for AI This role gives you enough opportunities to build your professional network among technical fraternity within the group This role also expects you to build a very strong network of local ecosystem and bring the benefits for Atlas Copco Job location Hybrid This role offers a hybrid working arrangement, allowing you to split your time between working remotely and being on-site in Pune. Contact information Talent Acquisition Team: Shreya Pore Uniting curious minds Behind every innovative solution, there are people working together to transform the future. With careers sparked by initiative and lifelong learning, we unite curious minds, and you could be one of them.

ABOUT XENONSTACK XenonStack is the fastest-growing Data and AI Foundry for Agentic Systems, enabling people and organizations to gain real-time, intelligent business insights. We deliver innovation through Akira AI Building Agentic Systems for AI Agents, XenonStack Vision AI Vision AI Platform, and NexaStack AI Inference AI Infrastructure for Agentic Systems. Our mission is to accelerate the world's transition to AI + Human Intelligence by building secure, transparent, and responsible AI systems. THE OPPORTUNITY We are seeking a Responsible AI Engineer with 2-4 years of experience in AI/ML systems, governance, and compliance to ensure our Agentic AI solutions are ethical, explainable, secure, and compliant with global standards. In this role, you will work at the intersection of AI engineering, governance frameworks, and policy enforcement, ensuring that our AI agents behave in ways that are aligned with human values and organizational principles. JOB ROLES AND RESPONSIBILITIES Ethics & Governance Implementation Embed Responsible AI principles into the full lifecycle of AI agents - design, training, deployment, and monitoring. Implement frameworks for explainability (XAI), bias detection, and fairness in AI models. Ensure compliance with AI regulations and standards (EU AI Act, NIST AI RMF, ISO/IEC AI standards). Risk & Policy Management Define and monitor risk assessment processes for AI agents in production. Establish guardrails for Agentic AI to prevent harmful or unintended behaviors. Work with legal and compliance teams to align technical solutions with governance policies. AI Monitoring & Auditing Implement audit trails for AI agent decisions and tool use. Develop monitoring pipelines to detect drift, hallucinations, or security risks. Build human-in-the-loop (HITL) review systems for high-impact AI decisions. Collaboration & Continuous Improvement Partner with AI Engineers, Product Managers, and UX teams to design ethical AI workflows. Stay ahead of evolving Responsible AI research, regulations, and best practices. Advocate for trust, transparency, and accountability in all AI deployments. SKILLS REQUIREMENTS Technical Skills 2-4 years of experience in AI/ML, MLOps, or AI Governance engineering. Knowledge of ML fairness, bias mitigation, and explainability techniques. Familiarity with AI governance frameworks (NIST AI RMF, OECD AI Principles, ISO/IEC AI). Understanding of model risk management and AI security best practices. Proficiency in Python for ML pipeline development and monitoring. Experience with AI monitoring tools (Fiddler, Arize, WhyLabs, MLflow) is a plus. Professional Attributes Strong analytical and problem-solving skills. Ability to translate ethical principles into technical requirements. Excellent communication for engaging both technical and non-technical stakeholders. Passion for building trustworthy, human-aligned AI systems. CAREER GROWTH AND BENEFITS 1) Continuous Learning & Growth Access to Responsible AI certifications and compliance training. Work on cutting-edge Agentic AI deployments in regulated industries. 2) Recognition & Rewards Regular feedback and recognition for Responsible AI innovations. Performance-based incentives and special project allowances. 3) Work Benefits & Well-Being Comprehensive health insurance and wellness programs. Cab facilities for women employees and allowances for specific projects. XENONSTACK CULTURE - JOIN US & MAKE AN IMPACT At XenonStack, we believe AI must be as accountable as it is intelligent. We are obsessed with building transparent, ethical, and compliant AI agents that scale responsibly. Our Product Philosophy: Obsessed with Trust - Every AI decision must be explainable and defensible. Obsessed with Accountability - AI must be governed, monitored, and aligned with human values. Be part of our mission to govern the algorithms that govern us and ensure AI + Human Intelligence thrives responsibly.,

The role of AI Architect is open for PAN India and welcomes applicants who are interested in revolutionizing HR operations within a fast-paced IT services environment. As an AI Architect, you will play a pivotal role in designing and implementing AI-driven solutions that enhance various HR capabilities. Your expertise will be crucial in integrating AI tools into enterprise platforms, developing predictive models, implementing automation solutions, and ensuring compliance with data privacy regulations. Additionally, you will be responsible for evaluating emerging AI technologies, driving scalability and optimization of AI models, and contributing to the continuous improvement of HR operations. As an AI Architect, your key responsibilities will include: - Architecting intelligent systems to improve HR functions such as talent acquisition, workforce planning, employee engagement, and learning & development. - Collaborating with HR, IT, and data teams to integrate AI tools into enterprise platforms like Workday, SAP SuccessFactors, Oracle HCM, and ServiceNow. - Leading the development of predictive models for attrition prediction, talent matching, career pathing, and performance forecasting. - Implementing intelligent automation solutions such as resume parsing, chatbot-based onboarding, and personalized employee experiences. - Ensuring AI solutions comply with global data privacy and ethical standards, focusing on responsible AI practices. - Evaluating emerging AI technologies and recommending adoption strategies for HR transformation. - Driving scalability and optimization of AI models in multi-client, service-based HR environments. The ideal candidate for this role should possess: - A Bachelors or Masters degree in Computer Science, Data Science, Engineering, or a related field. - 11+ years of experience in AI/ML systems development or architecture, with exposure to enterprise transformation initiatives. - Strong understanding of HR operations and challenges in global workforce management. - Hands-on experience with cloud platforms (AWS, Azure, GCP) and AI/ML frameworks. - Familiarity with HR systems and APIs, such as Workday, SAP, Oracle, and ServiceNow. Preferred qualifications for this role include: - Experience with AI applications in recruitment, learning, performance management, or employee experience. - Knowledge of ethical AI practices, bias mitigation, and responsible data usage in workforce analytics. - Certifications in AI/ML or HR analytics, such as Microsoft AI Engineer, SHRM-CP, or PHR. Join us as an AI Architect to drive innovation at the intersection of AI and HR transformation, lead digital HR initiatives, and be a part of a collaborative culture with access to cutting-edge technologies and thought leadership.,

As a ML Specialist GenAI at Claidroid Technologies Pvt. Ltd., your primary responsibility will be to design, develop, and deploy scalable Generative AI systems. This role involves implementing LLM agents, RAG architectures, and MLOps pipelines, and managing the full GenAI product lifecycle. You will lead AI developers, build solutions using LLMs, Diffusion Models, and GenAI agents, and fine-tune models with LangChain, LangGraph, and promptflow. Deployment will utilize Azure, containerization, and CI/CD practices. It will be your duty to ensure model observability, optimize performance and cost, apply ethical AI principles, and effectively communicate insights to stakeholders. This position is based in Pune/Trivandrum with options for WFH/Hybrid, working from 11 AM to 8 PM IST, suitable for candidates with under a 30-day notice period. To excel in this role, you should possess 5-10 years of experience in ML Engineering and Generative AI. Proficiency in technologies like LLMs, RAG, Prompt Engineering, LangChain, LangGraph, promptflow, and Autogen is essential. Strong skills in Python, PyTorch/TensorFlow, FastAPI, and AsyncIO are required. Experience with CI/CD pipelines (specifically GitHub Actions), Docker, Kubernetes, Azure cloud services (preferred), or AWS/GCP is advantageous. Additionally, expertise in MLOps, model deployment, monitoring, performance tuning, and understanding of Responsible AI principles, bias mitigation, and model explainability are crucial for this role. Claidroid Technologies is a leader in digital transformation, specializing in Enterprise Service Management and Enterprise Security Management solutions. With headquarters in India and offices in Helsinki, Finland, and the USA, we aim to deliver bespoke services to a wider audience globally. Joining our team offers competitive compensation, a hybrid working model, generous benefits such as comprehensive health insurance and performance bonuses, as well as ample opportunities for career growth in a dynamic and innovative environment. Be part of our collaborative and inclusive work culture that values your contributions and supports your professional development.,

We are looking for a skilled Generative AI Developer to be a part of our team and contribute to the development of advanced generative models. In this role, you will focus on creating AI systems that have the ability to produce innovative and human-like content across various domains such as natural language generation, image generation, and even video or music synthesis. To excel in this position, you should possess expertise in machine learning, deep learning, and natural language processing, along with a thorough understanding of specific generative models like GANs, VAEs, and other neural networks. Your responsibilities will involve developing and refining generative models using techniques such as GANs, VAEs, Transformers, and Diffusion models. You will also be working on tasks related to text generation, image generation, music or sound generation, video creation, and other creative AI applications. Furthermore, you will be expected to design, construct, and deploy models utilizing frameworks like TensorFlow, PyTorch, Hugging Face, OpenAI's GPT, or similar tools. It will be crucial to optimize AI models for performance, accuracy, and scalability in real-world production environments. Staying updated on the latest trends, research papers, and breakthroughs in the field of generative AI will also be a part of your role. Collaboration with other teams, such as data scientists, machine learning engineers, and product teams, to integrate models into production systems will be essential. Additionally, you will work on data preprocessing, augmentation, and designing pipelines to ensure high-quality input for model training. Documenting your code, processes, and model outputs for team-wide visibility and knowledge sharing will also be a key aspect of your responsibilities. **Required Qualifications & Skills:** - Bachelor's or Master's degree in Computer Science or related fields. - 3-4 years of hands-on experience in developing Generative AI solutions. - Strong understanding of deep learning algorithms, particularly in generative models like GANs, VAEs, Diffusion models, or large-scale language models like GPT. - Hands-on experience with machine learning frameworks and libraries such as TensorFlow, PyTorch, or Hugging Face. - Experience working with neural networks, unsupervised learning, and natural language processing. - Proficient programming skills in Python, including deep learning libraries like TensorFlow, Keras, and PyTorch. - Familiarity with cloud platforms (AWS, GCP, or Azure) for model training and deployment. - Solid mathematical and statistical knowledge, especially in probability theory, linear algebra, and optimization. - Experience in large-scale model training, fine-tuning, or distributed computing. - Knowledge of reinforcement learning and self-supervised learning. - Understanding of AI ethics, bias mitigation, and interpretability in generative models.,