13 Aiml Engineering Jobs

Job Description: Forbes Advisor is a part of the Forbes Marketplace initiative aimed at providing consumers with journalist- and expert-written insights, news, and reviews covering personal finance, health, business, and lifestyle decisions. The primary goal is to empower consumers by offering them the necessary knowledge and research to make well-informed decisions they can trust, enabling them to focus on their priorities. Marketplace is committed to helping individuals achieve their goals by offering reliable advice and guidance. The team comprises industry experts with extensive experience in various domains such as Content, SEO, Business Intelligence, Finance, HR, Marketing, Production, Technology, and Sales. This diverse team collaborates to provide global coverage on topics like consumer credit, health, home improvement, banking, investing, and more. The Data Extraction Team is pivotal to the organization, responsible for developing and managing advanced web scraping frameworks. Their core responsibilities include creating efficient tools and methodologies to extract precise data from digital platforms. Moreover, the team focuses on building robust data pipelines and implementing Extract, Transform, Load (ETL) processes to ensure seamless data transfer for analysis and utilization. As a Data Research Engineer, you will play a crucial role in exploring the potential of AI/LLM technologies within the team. Your responsibilities will involve conceptualizing innovative ways to leverage AI tools, predicting future technology trends, acquiring data from various sources, and collaborating with cross-functional teams. Additionally, staying updated with emerging technologies and contributing to the development milestones are key aspects of this role. Responsibilities: - Develop strategies to harness the power of LLM and AI technologies within the team. - Proactively seek new solutions to integrate AI/LLM tools and streamline processes. - Anticipate future technology trends and explore their applications for the team's benefit. - Assist in acquiring and integrating data from different sources, including web crawling and API integration. - Stay abreast of emerging technologies and industry trends. - Collaborate with cross-functional teams to understand data requirements and achieve development milestones. - Prioritize tasks to ensure timely delivery in a fast-paced environment with changing priorities. - Support and collaborate with fellow members of the Data Research Engineering Team. - Effectively utilize online resources for problem-solving and knowledge enhancement. Qualifications: Skills and Experience - Bachelor's degree in Computer Science, Data Science, or related field (Higher qualifications preferred). - Proactive thinking towards integrating AI/LLM technologies for team and company benefits. - Experience in managing AI platforms and implementing AI models. - Proficiency in Python programming and SQL, with familiarity in web crawling and API integration. - Strong background in AI/ML engineering and data extraction, with expertise in LLMs and NLP frameworks. - Profound understanding of machine learning frameworks like TensorFlow and PyTorch. - Ability to design and build AI models using LLMs, integrate solutions via APIs, and optimize model performance. - Experience with Agile methodologies, version control systems, and collaborative development. - Excellent problem-solving, analytical, and communication skills, with a proactive and creative mindset. - Comfortable working independently and in a team-oriented environment. Perks: - Day off on the 3rd Friday of every month for extended weekends. - Monthly Wellness Reimbursement Program for promoting health and well-being. - Monthly Office Commutation Reimbursement Program. - Paid paternity and maternity leaves.,

We have an exciting and rewarding opportunity for you to take your software engineering career to the next level. As a Software Engineer III at JPMorgan Chase within the Corporate Technology Consumer and Community Banking Risk Technology team, you serve as a seasoned member of an agile team to design and deliver trusted market-leading technology products in a secure, stable, and scalable way. You are responsible for carrying out critical technology solutions across multiple technical areas within various business functions in support of the firm's business objectives. You will be responsible for executing software solutions, design, development, and technical troubleshooting with the ability to think beyond routine or conventional approaches to build solutions or break down technical problems. Additionally, you will work with product managers, data scientists, ML engineers, and other stakeholders to understand requirements and develop API/services for model deployment, ensuring scalability, reliability, and efficiency. Building applications to automate manual steps in MLOPs pipeline, executing POC for innovative ideas to solve complex business problems, and staying informed about the latest trends and advancements in the latest LLM/GenAI research are also part of your responsibilities. Furthermore, you will add to the team culture of diversity, equity, inclusion, and respect. Required qualifications, capabilities, and skills include formal training or certification on software engineering concepts and 3+ years of applied experience, proficiency in programming languages like Python for model development and Python for BigData (i.e., Pyspark, Spark SQL on EMR experience). Experience in web applications/APIs with AWS Lambda, cloud gateway, experimentation, and integration with OpenAI API, building API and restful services using Flask/Django/FastAPI, solid understanding of agile methodologies like CI/CD, Application Resiliency, and Security, experience with cloud computing platforms (e.g., AWS, Azure, or Google Cloud Platform), containerization technologies (e.g., Docker and Kubernetes), and microservices design, implementation, and performance optimization, as well as understanding the fundamentals of machine learning and LLMs, and experience in applied AI/ML engineering, with a track record of deploying business-critical machine learning models in production. Preferred qualifications, capabilities, and skills include familiarity with modern front-end technologies and the financial services industries.,

You should have industrial experience of 6-10 years with at least 3 years of experience in building and deploying LLM-based systems. A Bachelors degree (or above) in a relevant field such as Computer Science or Statistics is strongly preferred. Additionally, you must possess 3+ years of hands-on experience in AI/ML engineering, including real-world deployment of models and pipelines. Proficiency in Python is essential for this role. Moreover, the ideal candidate will have proven experience in building and deploying LLM-based systems, especially those utilizing retrieval-augmented generation (RAG). A solid understanding of vector databases, embeddings, and semantic search architecture is required. Strong skills in data engineering, including ETL pipelines, data cleaning, transformation, and large-scale processing, are also necessary. Experience in building REST APIs, containerizing services with Docker, and deploying to cloud infrastructure (preferably Azure or AWS) is highly desirable. A strong understanding of cloud platforms and modern data architectures (e.g., AWS, GCP, Azure) will be beneficial for this position.,

As an established global provider of business process and technology management services, Sutherland offers a wide range of analytics-driven solutions to support the entire customer lifecycle. With over 30 years of experience, we have been helping customers across various industries achieve greater agility through transformed and automated customer experiences. We are currently looking for a skilled and delivery-focused AI Manager (L5) to lead the development and implementation of AI solutions under the guidance of the AI Architect. In this role, you will be responsible for managing cross-functional teams of AI developers, data scientists, and MLOps engineers to build scalable, production-grade AI systems including Generative AI, Agentic AI, and Transformer-based models. Your responsibilities will include managing day-to-day execution of AI projects, ensuring timely delivery, quality, and alignment to architectural design. You will lead AI developers and collaborate closely with data scientists, BAs, and MLOps engineers to build end-to-end AI workflows. Additionally, you will translate architectural blueprints into executable components, prototypes, and production-ready services. You will oversee the development of GenAI applications, RAG pipelines, and agent-based solutions using frameworks like LangChain and LangGraph. Supervising the integration of AI services with business systems and ensuring model outputs are usable, interpretable, and reliable will also be part of your role. Monitoring project KPIs, technical progress, and resource allocation, and escalating risks and blockers as needed will be essential. You will review code, support reusable component development, and enforce engineering best practices. Moreover, coaching and mentoring junior engineers and analysts within the AI team will also be expected from you. To qualify for this role, you should have at least 7 years of experience in AI/ML engineering or software development, with 2-3 years in team leadership roles. Experience delivering projects using GenAI, LLMs, or Transformer models is required. A solid understanding of prompt engineering, APIs, data preprocessing, and model integration is essential. Hands-on coding proficiency in Python and familiarity with ML libraries (PyTorch, HuggingFace, LangChain, etc.) is necessary. Exposure to vector databases and RAG architectures for enterprise knowledge retrieval is beneficial. Strong organizational, problem-solving, and team leadership skills are a must. A Bachelors or Masters degree in computer science, AI, or related technical field is preferred. Preferred skills for this role include experience working in agile delivery environments with CI/CD pipelines and MLOps tools, familiarity with multi-agent orchestration platforms, LLMOps, or auto-evaluation frameworks, prior experience in AI delivery within telecom, BFSI, healthcare, or manufacturing domains, and the ability to interface with business stakeholders to gather requirements and validate outcomes.,

As an AI Lead Engineer, you will play a crucial role in leading the technical implementation of AI solutions. This will involve coordinating and mentoring a team of engineers to ensure successful project delivery. You will serve as the technical expert for specific AI/ML projects, ensuring adherence to best practices, code quality, and performance optimization throughout the development lifecycle. Your responsibilities will include overseeing the end-to-end development process, from prototyping and R&D to deployment and maintenance of AI/ML systems. You will be tasked with translating project requirements into actionable engineering tasks, effectively managing risk, resource allocation, and timelines. Acting as the technical interface between business/product stakeholders and the engineering team, you will facilitate effective communication and collaboration. In addition, you will drive the adoption of modern engineering workflows such as CI/CD, Agile methodologies, and cloud deployment practices. Your leadership will be instrumental in spearheading the development of a natural language processing system, ensuring model performance, mentoring staff, overseeing best practices, and coordinating cross-functional bug fixes. From a technical standpoint, your role will involve deep AI/ML engineering, hands-on coding, optimization, and deployment of AI solutions. As a leader, you will be responsible for team leadership, mentoring team members, and ensuring successful project delivery. Effective communication skills will be essential in providing technical guidance and constructive feedback to team members. Your main focus will be on delivery and execution, with the main output being working AI/ML solutions and high team performance. Collaboration with engineering teams and product managers will be key to your success in making project/module-level decisions. If you are interested in this role, please share your updated resume with us at fjayaraj@griddynamics.com. We will review your application and reach out to you shortly with the next steps. Kindly include details of your current CTC, expected CTC, and notice period in your application. We look forward to the possibility of connecting with you and exploring this exciting opportunity further.,

Qualcomm India Private Limited is looking for a passionate and skilled AI/ML Engineer to be a part of the cutting-edge Extended Reality (XR) Software team. Your role will involve working on next-generation XR products that merge the physical and digital worlds, utilizing artificial intelligence and machine learning to create immersive, intelligent, and responsive experiences. Collaboration with cross-functional teams of researchers, engineers, and designers will be crucial in developing real-time AI/ML software optimized for XR platforms. A strong background in C++ or embedded firmware development is essential as you will be closely working with hardware and performance-critical systems. Your key responsibilities will include designing, developing, and optimizing AI/ML models for XR applications such as computer vision, sensor fusion, gesture recognition, and spatial understanding. Implementing real-time inference pipelines on embedded or edge devices will also be part of your tasks. Collaboration with firmware and hardware teams to integrate ML models into XR systems, analyzing system performance, and optimizing for latency, power, and memory will be essential. Staying updated with the latest research and trends in AI/ML and XR technologies is also expected from you. Additionally, contributing to the full lifecycle of product development from prototyping to production is a key part of your role. To qualify for this position, you should hold a Bachelor's or Master's degree in Computer Science, Electrical Engineering, or a related field, along with 1-10 years of industry experience in AI/ML engineering or embedded systems. Proficiency in C++ and/or embedded firmware development, a solid understanding of machine learning fundamentals, experience with frameworks like TensorFlow, PyTorch, or ONNX, deployment of ML models on edge devices, and familiarity with XR technologies, sensor data processing, or 3D spatial computing are required qualifications. Moreover, a Bachelor's degree in Engineering, Information Systems, Computer Science, or related field along with 3+ years of Systems Engineering or related work experience, or a Master's degree in Engineering, Information Systems, Computer Science, or related field along with 2+ years of Systems Engineering or related work experience, or a PhD in Engineering, Information Systems, Computer Science, or related field along with 1+ year of Systems Engineering or related work experience are the minimum qualifications. Qualcomm is an equal opportunity employer and is committed to providing accessible processes for individuals with disabilities during the application/hiring process. If you require accommodations, you may reach out to Qualcomm's toll-free number or email. Qualcomm expects its employees to adhere to all applicable policies and procedures, including security and confidentiality requirements regarding the protection of company confidential information. Please note that Qualcomm's Careers Site is exclusively for individuals seeking jobs at Qualcomm. Staffing and recruiting agencies and individuals being represented by an agency are not authorized to use this site or submit profiles, applications, or resumes. Unsolicited submissions from agencies will not be accepted, and Qualcomm does not accept unsolicited resumes or applications from agencies. For more information about this role, feel free to contact Qualcomm Careers.,

We have an exciting and rewarding opportunity for you to impact your career and provide an adventure where you can push the limits of what's possible. Our team focuses on applying GenAI, ML, and statistical models to solve business problems in the Global Wealth Management space. As a Lead Software Engineer - Infrastructure Cloud at JPMorgan Chase within the Asset and Wealth Management Technology Team, you will collaborate with development teams to enhance the developer experience, delivering end-to-end cutting-edge solutions in the form of cloud-native microservices architecture applications. You will be involved in the design and architecture of solutions, focusing on the entire SDLC lifecycle stages. Our team works in tribes and squads, allowing you to move between projects based on your strengths and interests, making a significant impact on our clients and business partners worldwide. Job responsibilities Collaborate with development teams to enhance the developer experience, providing tools and infrastructure that support agile methodologies and continuous integration/continuous deployment. Execute software solutions, design, development, and technical troubleshooting with the ability to think beyond routine or conventional approaches. Create secure and high-quality production code to deploy infrastructure. Develop and maintain automated pipelines for model/product deployment, ensuring scalability, reliability, and efficiency. Produce architecture and design artifacts for complex applications, ensuring design constraints are met by software code development. Gather, analyze, synthesize, and develop visualizations and reporting from large, diverse sets for continuous improvement of software applications and systems. Identify hidden problems and patterns in data, using insights to drive improvements to coding hygiene and system architecture. Contribute to software engineering communities of practice and events that explore new and emerging technologies. Add to team culture of diversity, equity, inclusion, and respect. Required qualifications, capabilities, and skills Formal training or certification in software engineering concepts and 5+ years of applied experience. Hands-on practical experience in system design, application development, testing, and operational stability. Proficient with Public Cloud services in Production (AWS or other) with proficiency in Python scripting language. Experience in developing, debugging, and maintaining code in a large corporate environment with one or more modern programming languages (Python) and database querying language. Experience with Infrastructure as Code (Terraform or other). Experience in applied AI/ML engineering, with a track record of deploying business critical GenAI, machine learning models in production. Demonstrated knowledge of software applications and technical processes within a technical discipline (e.g., cloud, mobile, etc.). Ability to tackle design and functionality problems independently. Solid understanding of agile methodologies such as CI/CD, Application Resiliency, and Security. Experience in architecting, supporting, and implementing advanced, strategic CICD migrations. Strong collaboration skills to work effectively with cross-functional teams, communicate complex concepts, and contribute to interdisciplinary projects. Preferred qualifications, capabilities, and skills Experience with any of GitHub, GitHub Actions, Artifactory, Terraform Cloud, Slack, Grafana, SonarQube is considered a plus. Experience in designing and implementing AI/ML/LLM/GenAI pipelines. Stay informed about the latest trends and advancements in the latest AI/ML/LLM/GenAI research, implement cutting-edge techniques, and leverage external APIs for enhanced functionality.,

This position is pivotal in identifying and incubating cutting-edge AI technologies that align with the strategic goals of the company, enhancing the capabilities in data-driven decision-making and is crucial in defining and promoting best practices in AI model development and deployment. As an AI Engineer, you will ensure seamless integration of innovative AI solutions into existing frameworks, making sure they are scalable, reliable, and tailored to meet the unique demands of the pharmaceutical industry. Your contributions will be instrumental in advancing healthcare through technology, ultimately improving patient outcomes and driving business success. You will be responsible for understanding complex and critical business problems, formulating an integrated analytical approach to mine data sources, employing statistical methods and machine learning algorithms to contribute to solving unmet medical needs, discovering actionable insights, and automating processes for reducing effort and time for repeated use. Your role will involve architecting and developing end-to-end AI/ML and Gen AI solutions, focusing on scalability, performance, and modularity while ensuring alignment and best practices with enterprise architecture standards. Additionally, you will manage the implementation and adherence to the overall data lifecycle of enterprise data from data acquisition or creation through enrichment, consumption, retention, and retirement. This will enable the availability of useful, clean, and accurate data throughout its useful lifecycle. Your high agility will allow you to work across various business domains, integrating business presentations, smart visualization tools, and contextual storytelling to translate findings back to business users with a clear impact. You will also independently manage the budget, ensuring appropriate staffing and coordinating projects within the area while collaborating with globally dispersed internal stakeholders and cross-functional teams to solve critical business problems and deliver successfully on high visibility strategic initiatives. The ideal candidate for this role will have an advanced degree in Computer Science, Engineering, or a related field (PhD preferred) and at least 8 years of experience in AI/ML engineering, with a focus on designing and deploying LLM-based solutions for a minimum of 2 years. Strong proficiency in building AI/ML architectures and deploying models at scale, experience in cloud computing platforms such as AWS, Google Cloud, or Azure, deep knowledge of LLMs, containerization technologies (Docker, Kubernetes), CI/CD pipelines, and hands-on experience with cloud platforms and MLOps tools for scalable deployment are essential requirements. Additionally, experience with API development, integration, model deployment pipelines, strong problem-solving skills, proactive approach to challenges, effective communication in cross-functional teams, and excellent organizational skills with attention to detail in managing complex systems are necessary for this role. Novartis is committed to building an outstanding, inclusive work environment and diverse teams representative of the patients and communities served. If you require accommodations due to a medical condition or disability, please reach out to diversityandincl.india@novartis.com. This role at Novartis offers the opportunity to be part of a community of smart, passionate individuals dedicated to creating breakthroughs that change patients" lives. If you are ready to contribute to a brighter future, visit https://www.novartis.com/about/strategy/people-and-culture to learn more about Novartis and its commitment to diversity and inclusion.,

As a member of the 7-Eleven Global Solution Center team, you will have the opportunity to take ownership and responsibility within specific product areas, contributing to end-to-end solution delivery. You will support local teams and integrate new digital assets while challenging yourself to work on products deployed across a vast network of convenience stores processing over a billion transactions annually. Your role will involve building scalable solutions to address the diverse needs of 84,000+ stores in 19 countries. At 7-Eleven GSC, you will experience growth through cross-functional learning opportunities and be encouraged to embody leadership and service in meeting the needs of customers and communities. We are guided by our Leadership Principles at 7-Eleven, each of which is associated with specific behaviors that help us serve customers and support stores effectively. As a part of the team, you will be expected to be customer-obsessed, courageous in expressing your views, challenge the status quo, act like an entrepreneur, maintain a can-do attitude, do the right thing, and be accountable for your actions. 7-Eleven Global Solution Center is currently seeking a highly skilled senior AI/ML engineer to design, implement, and deploy innovative and efficient AI/ML solutions. The ideal candidate will possess extensive experience in Langchain, NLP, RAG-based systems, Prompt Engineering, Agentic Systems, and cloud platforms such as Azure and AWS. You will be responsible for building AI-driven applications and optimizing Langchain, Gen AI, and NLP models for specific use cases. Additionally, you will experiment with different machine learning models, propose feasible solutions quickly, and communicate effectively with leadership. The qualifications required for this role include 3-5 years of experience in AI/ML engineering, proficiency in Python and machine learning frameworks like TensorFlow and PyTorch, expertise in Generative AI, NLP, and conversational AI technologies, and experience in building and deploying AI-powered applications at scale. You should also have a strong understanding of machine learning algorithms, structured and unstructured data, model evaluation metrics, and business requirements translation into technical requirements. A bachelor's or master's degree in computer science, Artificial Intelligence, Machine Learning, or a related field is necessary, along with familiarity with Git versioning tools and exposure to the retail industry. At 7-Eleven Global Solution Center, we are committed to diversity in the workplace and focus on workplace culture, diverse talent, and our engagement with the communities we serve. We embrace diversity, equity, and inclusion as a business imperative, recognizing the importance of these aspects for our customers, franchisees, and employees. In addition to a challenging and rewarding career, 7-Eleven Global Solution Center offers a comprehensive benefits plan to improve the overall experience of our employees. This plan includes flexible work schedules, diverse leave options, medical coverage for family members, transportation, cafeteria facilities, certification and training programs, and support for employee relocation to Bangalore, India.,

DecisionX is pioneering a new category with the world's first Decision AI, an AI Super-Agent that assists high-growth teams in making smarter, faster decisions by transforming fragmented data into clear next steps. Whether it involves strategic decisions in the boardroom or operational decisions across various departments like Sales, Marketing, Product, and Engineering, down to the minutiae that drives daily operations, Decision AI serves as your invisible co-pilot, thinking alongside you, acting ahead of you, and evolving beyond you. We are seeking a dedicated and hands-on AI Engineer to join our Founding team. In this role, you will collaborate closely with leading AI experts to develop the intelligence layer of our exclusive "Agentic Number System." Key Responsibilities - Building, fine-tuning, and deploying AI/ML models for tasks such as segmentation, scoring, recommendation, and orchestration. - Developing and optimizing agent workflows using LLMs (OpenAI, Claude, Mistral, etc.) for contextual reasoning and task execution. - Creating vector-based memory systems utilizing tools like FAISS, Chroma, or Weaviate. - Working with APIs and connectors to incorporate third-party data sources (e.g., Salesforce, HubSpot, GSuite, Snowflake). - Designing pipelines that transform structured and unstructured signals into actionable insights. - Collaborating with GTM and product teams to define practical AI agent use cases. - Staying informed about the latest developments in LLMs, retrieval-augmented generation (RAG), and agent orchestration frameworks (e.g., CrewAI, AutoGen, LangGraph). Must Have Skills - 5-8 years of experience in AI/ML engineering or applied data science. - Proficient programming skills in Python, with expertise in LangChain, Pandas, NumPy, and Scikit-learn. - Experience with LLMs (OpenAI, Anthropic, etc.), prompt engineering, and RAG pipelines. - Familiarity with vector stores, embeddings, and semantic search. - Expertise in data wrangling, feature engineering, and model deployment. - Knowledge of MLOps tools such as MLflow, Weights & Biases, or equivalent. What you will get - Opportunity to shape the AI architecture of a high-ambition startup. - Close collaboration with a visionary founder and experienced product team. - Ownership, autonomy, and the thrill of building something from 0 to 1. - Early team equity and a fast growth trajectory.,

As a Machine Learning and Python Senior Engineer at JPMorgan Chase within the Asset and Wealth Management Team, you serve as a seasoned member of an agile team to design and deliver trusted market-leading technology products in a secure, stable, and scalable way. You are responsible for carrying out critical technology solutions across multiple technical areas within various business functions in support of the firm's business objectives. You will be involved in the development and deployment of AI/ML solutions to drive business value. Your role includes designing, developing, and deploying state-of-the-art AI/ML/LLM/GenAI solutions that align with business objectives. You will conduct thorough evaluations of Gen AI models, iterate on model architectures, and implement improvements to enhance overall performance across applications. Additionally, you will develop appropriate testing frameworks for models and guide India team developers through the Machine Learning Development Lifecycle (MDLC). Collaboration is key in this role, as you will work directly with the US Core Client Service AI team to drive AI implementations from India. You are expected to collaborate with cross-functional teams to understand requirements and translate them into technical solutions. It is essential to stay updated with the latest trends and advancements in data science, machine learning, and related fields to continuously enhance your skills and knowledge. In terms of qualifications, capabilities, and skills, you are required to have formal training or certification in Computer Science, Engineering, or a related field with at least 3 years of applied experience. Proficiency in programming skills, particularly in Python, is necessary. Hands-on experience in applied AI/ML engineering, leading developers, and working in a fast-paced environment is crucial. You should also be proficient in programming languages like Python for model development, experimentation, and integration with Azure OpenAI API. Strong collaboration and communication skills are essential to work effectively with geographically spread cross-functional teams, communicate complex concepts, and contribute to interdisciplinary projects. Problem-solving and analytical skills with a keen attention to detail are highly valued. Experience with cloud platforms for deploying and scaling AI/ML models is advantageous. Preferred qualifications include experience in backend development, knowledge of SRE practices, and exposure to cloud automation technologies. Additionally, familiarity with large language models (LLMs), databases, programming languages, web frameworks, APIs, and microservices is beneficial. You should be able to assess and choose suitable LLM tools and models for various tasks, curate custom datasets, fine-tune LLM models, and design advanced LLM prompts. Your role may involve executing experiments to push the capability limits of LLM models and enhance their dependability.,

We are looking for a skilled and motivated Data Scientist with a strong background in backend development and AI/ML engineering. The ideal candidate should have experience in constructing, deploying, and expanding machine learning solutions using Python and modern ML frameworks. Responsibilities: - Develop and implement machine learning models, including advanced architectures like Large Language Models (LLMs). - Collaborate with various teams to create scalable AI-driven solutions using sound software engineering principles. - Utilize Python and object-oriented programming to build efficient, maintainable, and production-grade ML pipelines. - Work with popular ML frameworks such as TensorFlow, PyTorch, and Scikit-learn for model development and testing. - Integrate AI/ML models into applications via RESTful APIs while ensuring performance, scalability, and reliability. - Use tools like Hugging Face, LangChain, and OpenAI APIs for NLP and generative AI model development. - Manage containerized services using Docker for seamless deployment and reproducibility of ML solutions. - Follow best practices in version control (Git) and software development lifecycles to support collaborative and agile workflows. - Develop and maintain relational databases (e.g., MySQL, PostgreSQL, Oracle) to support data-driven applications. - Contribute to microservices-based architectures for AI/ML systems. - Apply agent communication protocols and multi-agent system design in relevant AI applications. - Analyze large datasets, extract actionable insights, and continuously improve models. Required Skills and Qualifications: - Minimum 4 years of experience in data science, machine learning, or backend development. - Proficiency in Python and solid foundations in object-oriented programming. - Hands-on experience with the entire machine learning model lifecycle, from training to production deployment and monitoring. - Understanding of scalable system design and microservices architecture. - Strong problem-solving skills, attention to detail, and knowledge of data structures and algorithms. - Excellent communication and collaboration abilities, with a knack for working in a dynamic team setting. Preferred Qualifications: - Expertise in Generative AI, particularly with Large Language Models (LLMs) like GPT and LLaMA. - Proficiency in prompt engineering, fine-tuning LLMs, and evaluating AI model performance. - Familiarity with AI system architecture, including orchestration frameworks and agent-based designs. - Experience with advanced AI tools, platforms, and APIs for scalable systems. - Strong communication skills and proven track record of effective collaboration in cross-disciplinary teams. - Knowledge of ethical AI principles, including model interpretability, fairness, responsible AI deployment, and ongoing monitoring.,

We are looking for a highly skilled AI/ML Engineer with expertise in developing machine learning solutions, utilizing graph databases like Neo4j, and constructing scalable production systems. As our ideal candidate, you should have a strong passion for applying artificial intelligence, machine learning, and data science techniques to solve real-world problems. You should also possess experience in dealing with complex rules, logic, and reasoning systems. Your responsibilities will include designing, developing, and deploying machine learning models and algorithms for production environments, ensuring their scalability and robustness. You will be expected to utilize graph databases, particularly Neo4j, to model, query, and analyze data relationships in large-scale connected data systems. Building and optimizing ML pipelines to ensure they are production-ready and capable of handling real-time data volumes will be a crucial aspect of your role. In addition, you will develop rule-based systems and collaborate with data scientists, software engineers, and product teams to integrate ML solutions into existing products and platforms. Implementing algorithms for entity resolution, recommendation engines, fraud detection, or other graph-related tasks using graph-based ML techniques will also be part of your responsibilities. You will work with large datasets, perform exploratory data analysis, feature engineering, and model evaluation. Post-deployment, you will monitor, test, and iterate on ML models to ensure continuous improvement in model performance and adaptability. Furthermore, you will participate in architectural decisions to ensure the efficient use of graph databases and ML models, while staying up-to-date with the latest advancements in AI/ML research, particularly in graph-based machine learning, reasoning systems, and logical AI. Requirements: - Bachelor's or Master's degree in Computer Science, Machine Learning, Artificial Intelligence, or a related field. - 1+ years of experience in AI/ML engineering or a related field, with hands-on experience in building and deploying ML models in production environments and self-made projects using graph databases. - Proficiency in Neo4j or other graph databases, with a deep understanding of Cypher query language and graph theory concepts. - Strong programming skills in Python, Java, or Scala, along with experience using ML frameworks (e.g., TensorFlow, PyTorch, Scikit-learn). - Experience with machine learning pipelines and tools like Airflow, Kubeflow, or MLflow for model tracking and deployment. - Hands-on experience with rule engines or logic programming systems (e.g., Drools, Prolog). - Experience with cloud platforms such as AWS, GCP, or Azure for ML deployments. - Familiarity with containerization and orchestration technologies like Docker and Kubernetes. - Experience working with large datasets, SQL/NoSQL databases, and handling data preprocessing at scale.,