5 Ml Development Jobs

The metrics insights and analytics team at LTIMindtree is looking for a talented individual to join them in building dashboards and analytical solutions using AI ML based on business requirements. Your role will involve providing predictive and prescriptive analytics based on various delivery execution parameters, as well as offering actionable insights to users. You will be responsible for automating processes using new-age machine learning algorithms. Key Responsibilities: - Conceptualize, maintain, and automate dashboards as per the requirements. - Automation of existing processes to enhance productivity and time to market. - Enable decision making and action plan identification through metrics analytics. - Conduct training sessions and presentations. - Collaborate with various stakeholders to understand business problems and provide solutions. - Introduce new age solutions and techniques into the way of working. Skills Required: - Minimum 2-5 years of experience with power BI dashboards/TABLEAU and python. - Minimum 2-5 years of experience in AI/ML development. - Strong analytical skills with a focus on solutioning and problem-solving, along with an inclination towards numbers. - Experience working with Text analytics and NLP. - Proficiency in data cleansing, pre-processing data, and exploratory data analysis. - Knowledge of Azure ADF, Excel MACRO, and RPA will be advantageous. - Ability to perform feature engineering, normalize data, and build correlation maps. - Proficient in SQL. - Hands-on experience in model operationalization and pipeline management. - Capability to work effectively with global teams. - Good presentation and training skills. About LTIMindtree: LTIMindtree is a global technology consulting and digital solutions company that helps enterprises across industries to reimagine business models, accelerate innovation, and maximize growth through digital technologies. With a team of nearly 90,000 professionals in over 30 countries, LTIMindtree combines domain and technology expertise to drive superior competitive differentiation, customer experiences, and business outcomes in a converging world. Visit www.ltimindtree.com for more information.,

At CommBank, we are dedicated to enhancing the financial well-being of individuals and businesses by assisting them in making informed financial decisions and achieving their goals and aspirations. Regardless of your role within our organization, your initiative, talent, ideas, and energy are all valuable contributions to the positive impact we strive to make through our work. Together, we can accomplish remarkable things. We are currently seeking a Principal Software Engineer - GenAI to join our team in Bengaluru at Manyata Tech Park. As part of the Gen AI Domain, you will play a pivotal role in developing tools and capabilities that leverage Generative AI technology to address key needs within the group. Specifically, you will be involved in leading the Transformer Banking initiative. In this role, your primary responsibility will be to utilize your advanced technical expertise in engineering principles and practices within the Gen AI platform to drive business outcomes. By providing core technology and domain knowledge, you will support the technical strategy of the team and lead the design of solutions for complex challenges within Gen AI. This position offers the opportunity to be at the forefront of AI innovation within Australia's largest bank and fintech sector, shaping the future of banking with cutting-edge Gen AI solutions. Key Responsibilities: - Act as a thought and technology leader, providing technical guidance and overseeing engineering projects across AWS, Azure, AI, and ML development. - Champion strategic practice development within the Gen AI domain and mentor team members on design and technical aspects. - Build Gen AI capability among engineers through Knowledge Engineering, Prompt Engineering, and Platform Engineering. - Stay updated on advancements in generative AI, suggest best practices for infrastructure design, and ensure clear documentation of AI/ML/LLM processes. - Collaborate with other teams to integrate AI solutions into existing workflows and systems, ensuring scalability, reliability, and high availability. - Implement security best practices, monitoring systems, and Responsible AI guardrails to safeguard the platform and ensure data privacy and governance. Essential Skills: - Minimum 12 years of experience with a strong background in tech delivery and cross-cultural communication. - Proficiency in IT SDLC processes, written documentation, and key capabilities such as Prompt Engineering, Platform Engineering, and Knowledge Engineering. - Track record of building and leading engineering teams and exposure to cloud solutions, Gen AI frameworks, databases, and machine learning. Education Qualifications: - Bachelors/Masters degree in Engineering in Computer Science/Information Technology. If you are part of the Commonwealth Bank Group and interested in this opportunity, please apply through Sidekick. We are committed to supporting you in advancing your career. For any accessibility support, please contact HR Direct at 1800 989 696. Join us in shaping the future of banking through innovative Gen AI solutions!,

As an Artificial Intelligence Specialist at Gen AI, you will be responsible for driving customer conversations, understanding customer requirements, creating Gen AI solution architectures, and developing customer proposals and RFP responses. You will guide solution engineers in creating Gen AI POCs and solutions for various industry verticals. Your role will involve staying updated on the latest technology developments, industry best practices, and incorporating them into Gen AI applications. Additionally, you will design and deploy Proof of Concepts (POCs) and Points of View (POVs) across different industry verticals to showcase the potential of Generative AI applications. To qualify for this role, you should have at least 8 years of experience in software development, with a minimum of 3 years of experience in Generative AI solution development. A bachelor's degree or higher in Computer Science, Software Engineering, or related fields is required. You should be adept at critical thinking, logical reasoning, and have a strong ability to learn new industry domains quickly. Being a team player who can deliver under pressure is essential. Furthermore, you should have experience with cloud technologies such as Azure, AWS, or GCP, as well as a good understanding of NVIDIA or similar technologies. A solid appreciation of AI/ML concepts and sound design principles is necessary for this role. In terms of required skills, you should be extremely dynamic and enthusiastic about technology. Development experience with languages like C++, Java, JavaScript, HTML, C#, Python, or node.js is preferred. You should be able to adapt quickly to new challenges and evolving technology stacks. Excellent written and verbal communication skills in English are essential, along with strong analytical and critical thinking abilities. A customer-focused attitude, initiative-taking, self-driven nature, and the ability to learn quickly are also important qualities for this role. Knowledge of Python, ML Algorithms, Statistics, source code maintenance, versioning tools, Object-Oriented Programming Concepts, debugging, and analytical skills is required. Preferred skills for this position include at least 5 years of experience in ML development and MLOps. Strong programming skills in Python, knowledge of ML, Data, and API libraries, and expertise in creating end-to-end data pipelines are advantageous. Experience with ML models, ModelOps/MLOps, AutoML, AI Ethics, Trust, Explainable AI, and popular ML frameworks like SparkML, TensorFlow, scikit-learn, XGBoost, H2O, etc., is beneficial. Familiarity with working in cloud environments (AWS, Azure, GCP) or containerized environments (Mesos, Kubernetes), interest in understanding functional and industry business challenges, and knowledge of IT industry and GenAI use cases in insurance processes are preferred. Expertise in Big Data and Data Modeling is also desirable for this role.,

Role Summary: The AI/ML Platform Engineering Lead is a pivotal leadership role responsible for managing the day-to-day operations and development of the AI/ML platform team. In this role, you will guide the team in designing, building, and maintaining scalable platforms, while collaborating with other engineering and data science teams to ensure successful model deployment and lifecycle management. You can apply directly using the link below: https://jobs.lever.co/welocalize/628f87a7-4edd-4b4f-b440-3b602aa4dadc Key Responsibilities: Lead and manage a team of platform engineers in developing and maintaining robust AI/ML platforms. Define and implement best practices for machine learning infrastructure, ensuring scalability, performance, and security. Collaborate closely with data scientists and DevOps teams to optimize the ML lifecycle from model training to deployment. Establish and enforce standards for platform automation, monitoring, and operational efficiency. Serve as the primary liaison between engineering teams, product teams, and leadership. Mentor and develop junior engineers, providing technical guidance and performance feedback. Stay abreast of the latest advancements in AI/ML infrastructure and integrate new technologies where applicable. Qualifications: Bachelors or Masters degree in Computer Science, Engineering, or a related field. 8+ years of experience in AI/ML platform development and infrastructure. Proven experience in leading engineering teams and driving large-scale projects. Extensive expertise in cloud infrastructure (AWS, GCP, Azure), MLOps tools (e.g., Kubeflow, MLflow), and infrastructure as code (Terraform) Strong programming skills in Python and Node.js , with a proven track record of building scalable and maintainable systems that support AI/ML workflows. Hands-on experience with monitoring and observability tools, such as Datadog, to ensure platform reliability and performance. Strong leadership and communication skills with the ability to influence cross-functional teams. Excellent problem-solving skills and the ability to work in a fast-paced, collaborative environment.

Your tasks and responsibilities: You manage and extend our pool of MRI training and validation data. You ensure compliant data ingestion from customers, collaboration partners, and internal teams. You organize and store data efficiently and implement quality control measures for data. You establish Standard Operating Procedures for data handling and storage within the organization. You ensure data integrity and accessibility for machine learning projects. You support ML development activities by assisting in data selection and dataset curation considering statistical soundness and requirements for regulatory approvals. You work closely with our scientists and engineers to train, evaluate, and improve ML models. You perform tests and scientific evaluations on our data. You support regulatory submission processes by delivering data management specifications. To find out more about the specific business, have a look at Magnetic Resonance Imaging Your qualifications and experience: You have successfully completed a university degree (Master's/Diploma/PhD) in Computer Science, Data Science, Machine Learning, Bio-Medical Engineering or similar. You have 2 to 5 years of professional experience in data science and machine learning, preferably within medical imaging or healthcare. You have proficiency in Python, R; experience with TensorFlow, PyTorch, scikit-learn and C++ You have a proven track record of establishing and maintaining standard operating procedures for data handling and storage. You are familiar with ensuring data integrity and accessibility for advanced ML projects. You have knowledge of statistical modeling and methods and regulatory requirements in data management. Your attributes and skills: Since the development teams of the Application Release Train are spread internationally across three locations, strong English Communications skills are required. We win together - that's why you are proactively committed to delivering the best possible solutions to our customers You present your ideas and results confidently and convincingly in cross-functional development teams Personally, you are characterized by your strong teamwork and cooperation skills as well as your persuasiveness The highest quality standards in product development are a matter of course for you