Job Overview: We are seeking a highly skilled and experienced Senior AI/ML Engineer to join our dynamic team. The ideal candidate will have a strong background in machine learning and artificial intelligence, with a proven track record of developing and deploying scalable ML solutions. This role involves close collaboration with cross-functional teams to design, implement, and optimize AI-driven products and services. Key Responsibilities:1. Machine Learning Model Development and Deployment: Design, develop, and deploy machine learning models to solve complex business problems. Implement MLOps practices to ensure robust and scalable model deployment. Optimize model performance and ensure scalability and efficiency. 2. Data Analysis and Feature Engineering: Analyze large datasets to extract meaningful insights. Develop and select appropriate features to enhance model performance. Collaborate with data engineers to ensure seamless data integration. 3. Collaboration and Leadership: Work closely with data scientists, software engineers, and product managers to integrate ML solutions into products. Mentor junior team members and provide technical guidance. Communicate technical concepts to both technical and non-technical stakeholders. 4. Research and Innovation: Stay abreast of the latest developments in AI/ML technologies. Evaluate and implement new tools and frameworks to improve existing systems. Drive innovation and continuous improvement in AI/ML solutions. What You'll Do Innovate: Design, develop, and deploy state-of-the-art machine learning models that solve complex problems and drive strategic decisions. Collaborate: Work cross-functionally with data scientists, software engineers, and product managers to integrate AI solutions seamlessly into our products. Lead: Mentor junior team members, fostering a culture of continuous learning and innovation. Optimize: Implement MLOps best practices to ensure scalable, reliable, and efficient model deployment and monitoring. Explore: Stay abreast of the latest advancements in AI/ML, evaluating and integrating new technologies to keep us at the forefront of innovation. Required Qualifications: Educational Background: Bachelor's or Master's degree in Computer Science, Data Science, or a related field. Professional Experience: Minimum of 5 years of experience in machine learning engineering or a similar role. Technical Skills: Proficiency in programming languages such as Python or R. Experience with ML frameworks like TensorFlow, PyTorch, or Scikit-learn. Familiarity with cloud platforms (e.g., AWS, GCP, Azure) and containerization tools (e.g., Docker, Kubernetes). Strong understanding of data structures, algorithms, and software engineering principles. Soft Skills: Excellent problem-solving and analytical abilities. Strong communication and teamwork skills. Preferred Qualifications: Experience with big data technologies (e.g., Spark, Hadoop). Knowledge of NLP techniques and applications. Familiarity with CI/CD pipelines and version control systems like Git. Contributions to open-source projects or publications in reputable journals. What We Offer: Competitive salary and benefits package. Opportunities for professional growth and development. A collaborative and inclusive work environment. Access to cutting-edge technologies and tools. Job Types: Full-time, Permanent Pay: ₹1,000,000.00 - ₹5,000,000.00 per year Benefits: Health insurance Paid sick time Provident Fund Work from home Schedule: Day shift Fixed shift Monday to Friday Supplemental Pay: Performance bonus Work Location: In person

Job Title: Senior AI/ML Engineer Location: Bengaluru, India (Hybrid/Remote) Experience: 10+ years Employment Type: Full-time We are seeking a seasoned Senior AI/ML Engineer to lead the design, development, and deployment of advanced machine learning models and AI solutions. This role involves collaborating with cross-functional teams to drive innovation and deliver impactful AI-driven products.This senior, cross-functional role is responsible for setting our strategic direction on GenAI, Intelligent automation and data-powered operations. You will guide the implementation of AI solutions across the business, delivering meaningful process improvements, with a keen eye on AI governance. What you will do Lead the design development and deployment of AI powered business workflows using the latest LLMs, agents and intelligent automation tools Guide AI governance, ethical use, and standardisation across all AI-enabled solutions Support business units by training staff and promoting the effective use of AI tools in daily operations. Stay current on the latest AI developments (releases, tooling, methodologies) and recommend relevant applications that could improve all areas of the business. Supervise, mentor, and support a small but growing AI engineering team, fostering a culture of collaboration, innovation and driving improvements across the business. Engage in hands-on development as required, building prototypes and working solutions for internal stakeholders Work alongside our Power Platform team to enhance advanced model-driven app solutions and Business Reporting using AI capabilities Contribute to long-term planning, vendor evaluations, and strategy for scalable and secure AI adoption Match the business needs with Industry standards on governance like ISO 27001 to allow the business to remain compliant. Collaborate with global colleagues across time zones, some flexibility will be required What we are looking for Deep understanding of generative AI, LLMs and agent frameworks. Track record in designing, building and deploying AI-enabled workflows and solutions. Hands on experience developing workflows and using Microsoft’s Power Platform. Experience of implementing AI solutions with the ISO 27001 is desirable (not audit level). Experience designing and implementing AI solutions with CRM Systems is desirable. Demonstrated ability to lead, inspire and mentor technical teams. Experience Very strong organisational skills 10+ years in a technical role, including 5+ years building AI/ML powered workflows and automation solutions Leadership or team lead experience, particularly within AI Innovation Hands-on experience with Azure AI, Open AI Apis, Copilot MLOps and Cloud-native data engineering Experience working across departments and coaching non-technical stakeholders Experience with Azure OpenAI studio or Similar enterprise AI environments Exposure to model-driven apps and Dataverse integration Working knowledge Microsoft Power platform suites Experience contributing to AI/ML strategy at an organisational level Awareness of AI safety, compliance and ethical frameworks PowerShell scripting, SQL Query creations. Power platform workflow creation User rollout of cloud based IT solutions Knowledge and skills Keen attention to detail A confident and charismatic person, able to engage with any level of user within the business. A good level of numeracy The ability to lead AI automation projects and work within project scopes Ability to juggle different tasks effectively Ability to lead a team and provide mentorship The ability to understand how users learn and adapt to technology Flexibility with working hours due to the nature of the role Strong written and verbal communication skills are a must Job Type: Full-time Pay: ₹1,000,000.00 - ₹7,000,000.00 per year Benefits: Health insurance Paid sick time Provident Fund Work from home Schedule: Fixed shift Monday to Friday Supplemental Pay: Commission pay Performance bonus Quarterly bonus Yearly bonus Work Location: In person

Job Overview: We are seeking a highly skilled and experienced Senior AI/ML Engineer to join our dynamic team. The ideal candidate will have a strong background in machine learning and artificial intelligence, with a proven track record of developing and deploying scalable ML solutions. This role involves close collaboration with cross-functional teams to design, implement, and optimize AI-driven products and services. Key Responsibilities:1. Machine Learning Model Development and Deployment: Design, develop, and deploy machine learning models to solve complex business problems. Implement MLOps practices to ensure robust and scalable model deployment. Optimize model performance and ensure scalability and efficiency. 2. Data Analysis and Feature Engineering: Analyze large datasets to extract meaningful insights. Develop and select appropriate features to enhance model performance. Collaborate with data engineers to ensure seamless data integration. 3. Collaboration and Leadership: Work closely with data scientists, software engineers, and product managers to integrate ML solutions into products. Mentor junior team members and provide technical guidance. Communicate technical concepts to both technical and non-technical stakeholders. 4. Research and Innovation: Stay abreast of the latest developments in AI/ML technologies. Evaluate and implement new tools and frameworks to improve existing systems. Drive innovation and continuous improvement in AI/ML solutions. What You'll Do Innovate: Design, develop, and deploy state-of-the-art machine learning models that solve complex problems and drive strategic decisions. Collaborate: Work cross-functionally with data scientists, software engineers, and product managers to integrate AI solutions seamlessly into our products. Lead: Mentor junior team members, fostering a culture of continuous learning and innovation. Optimize: Implement MLOps best practices to ensure scalable, reliable, and efficient model deployment and monitoring. Explore: Stay abreast of the latest advancements in AI/ML, evaluating and integrating new technologies to keep us at the forefront of innovation. Required Qualifications: Educational Background: Bachelor's or Master's degree in Computer Science, Data Science, or a related field. Professional Experience: Minimum of 5 years of experience in machine learning engineering or a similar role. Technical Skills: Proficiency in programming languages such as Python or R. Experience with ML frameworks like TensorFlow, PyTorch, or Scikit-learn. Familiarity with cloud platforms (e.g., AWS, GCP, Azure) and containerization tools (e.g., Docker, Kubernetes). Strong understanding of data structures, algorithms, and software engineering principles. Soft Skills: Excellent problem-solving and analytical abilities. Strong communication and teamwork skills. Preferred Qualifications: Experience with big data technologies (e.g., Spark, Hadoop). Knowledge of NLP techniques and applications. Familiarity with CI/CD pipelines and version control systems like Git. Contributions to open-source projects or publications in reputable journals. What We Offer: Competitive salary and benefits package. Opportunities for professional growth and development. A collaborative and inclusive work environment. Access to cutting-edge technologies and tools. Job Types: Full-time, Permanent Pay: ₹1,000,000.00 - ₹7,000,000.00 per year Benefits: Health insurance Paid sick time Provident Fund Work from home Schedule: Day shift Fixed shift Monday to Friday Supplemental Pay: Commission pay Performance bonus Quarterly bonus Yearly bonus Work Location: In person