About Preplaced:Preplaced is a leading mentorship platform that offers personalized, long-term guidance to help mentees secure positions in their dream companies. It emphasizes a tailored mentorship approach to ensure individual progress and success, supported by mentors from top companies across various domains.Role Overview:The AI Engineer at Preplaced will be instrumental in enhancing our platform's and mentors' capabilities using AI technologies. This role involves developing and integrating machine learning pipelines to personalize the mentorship experience, optimize matchmaking between mentees and mentors, and automate key processes to improve efficiency and user satisfaction.Key Responsibilities:<ul><li>Design and build LLMops pipelines / Agents to tailor the mentorship experience to individual user needs.</li><li>Collaborate with the Product and Engineering teams to integrate AI solutions into the existing platform.</li><li>Analyze user interactions and feedback to continuously improve the AI models.</li><li>Lead the AI initiatives, acting as the technical authority within the team.</li><li>Mentor junior engineers and collaborate with cross-functional teams to promote AI-driven innovations.</li></ul>Requirements:<ul><li>A minimum of 3 years of experience in software engineering/Data Science with a strong background in machine learning and AI.</li><li>Proven track record of developing and deploying AI models in production environments.</li><li>Experience with natural language processing, Generative AI, LLMs and recommendation systems.</li><li>Strong problem-solving skills and the ability to work in a dynamic, fast-paced environment.</li><li>Excellent communication skills with a knack for explaining complex technical concepts in simple terms.</li></ul>Why Join Us:<ul><li>Be part of a vibrant team that's making a tangible impact on people’s careers.</li><li>Work in an environment that values creativity, innovation, and diversity.</li><li>Engage with a broad network of industry experts and gain insights into various professional domains.</li><li>Competitive salary, flexible working hours, and a supportive work culture.</li></ul>Benefits:<ul><li>Health insurance, wellness programs, and comprehensive medical coverage.</li><li>A generous leave policy and the flexibility to balance work-life commitments.</li><li>Continuous learning and professional development opportunities to advance your skills.</li></ul>This role at Preplaced not only offers the chance to work on innovative projects but also the opportunity to make a significant impact in the career development sector by leveraging AI technologies.For more information about Preplaced and its offerings, visit their official website of Preplaced.

Company DescriptionIksha Labs is a technology company based in Gurugram. We are a strong cross-functional team of designers, software developers, and hardware experts who love creating technology products and services. With our deep expertise across several business verticals, we bring our best practices to ensure a smooth product journey for our clients. We have a passion for healthcare, medical devices, finance, consumer electronics, and other areas where we can build innovative technology solutions. We are constantly learning and expanding our horizons to create novel concepts and products. Role DescriptionThis is a full-time on-site role for a Machine Learning Engineer at Iksha Labs, located in Gurugram. As a Machine Learning Engineer, your day-to-day tasks will involve pattern recognition, computer science, neural networks, statistics, and algorithms. You will be responsible for developing and implementing machine learning models and algorithms, analyzing data sets, and collaborating with cross-functional teams to deliver high-quality solutions. Responsibilities:<ul><li>Enhance and fine-tune Python code for improved execution speed and memory efficiency, guaranteeing the effective operation of machine learning models in production settings.</li><li>Design methodologies for the periodic updating of machine learning models with fresh data, monitor their performance metrics continuously, and automate the process of model refreshment.</li><li>Set up systems for monitoring and alerts to keep track of the performance, uptime, and overall health of machine learning models in production, addressing any irregularities or issues swiftly.</li><li>Work closely with data scientists and software engineers to seamlessly integrate machine learning models into existing production environments and applications, ensuring smooth deployment and workflow compatibility.</li><li>Establish and uphold guidelines and tools for the versioning, monitoring, and management of machine learning models and their related components across their entire lifecycle.</li><li>Employ SQL and Python for efficient data handling and manipulation, including database querying and enhancement of data retrieval methods.</li><li>Create and sustain detailed documentation for databases, features, codebases, and models to support team collaboration and the sharing of knowledge.</li><li>Engage with diverse teams to ensure that machine learning solutions are effectively incorporated into production systems, with an emphasis on compatibility and scalability.</li><li>Remain abreast of the latest trends in MLOps, DevOps, and associated technologies, adopting innovative tools and practices to advance operational procedures and workflows.</li><li>Offer technical mentorship and support to colleagues, fostering an environment of knowledge exchange and cooperative effort across various disciplines.</li></ul> Qualifications<ul><li>Strong background in pattern recognition, computer science, and statistics</li><li>Experience with SQL</li><li> Experience with cloud platforms such as AWS</li><li> Familiarity with Docker</li><li> Experience with model deployment and monitoring in production environments.</li><li> Excellent problem-solving skills and attention to detail.</li><li> Strong communication and collaboration skills</li><li>Experience with neural networks and algorithms</li><li>Proficiency in programming languages such as Python or R</li><li>Experience with machine learning frameworks and libraries</li><li>Ability to analyze and interpret complex data sets</li><li>Excellent problem-solving and critical thinking skills</li><li>Strong communication and collaboration skills</li><li>Bachelor's or Master's degree in Computer Science, Engineering, or related field</li><li>Experience in the healthcare or finance industry is a plus</li></ul>

This is a remote position.Company Mission Leegality is India’s first Document Infrastructure Platform - a radical new digital way for businesses to complete paperwork (agreements, forms and other legal documents). Over the last 7 years, Leegality has changed the way 2000+ Businesses do their paperwork from large enterprises like HDFC, SBI Cards, Federal Bank, ICICI Lombard, Axis Finance, Tata Capital etc. to high-growth companies like Razorpay, Rupeek, Cars24, Dunzo etc. To see our impact on customers click here https://www.leegality.com/case-studies Company Environment Leegality has an Employee Net Promoter Score of 97 - the highest on xto10x’s eNPS Survey for Q1 2022. The highest among 60+ notable startups. This makes us, arguably, the most employee-loved startup in the country Creating a category-defining company - and changing the way businesses perform a critical function like paperwork - requires powerful marketing that resonates with people. Job Brief:<ul><li>As ML Engineer, you will develop solutions to interesting technical problems, explore exciting growth opportunities and have a real impact on our product.</li><li>To ensure success as a machine learning engineer, you should demonstrate solid data science knowledge and experience in a related ML role.</li><li>A first-class machine learning engineer will be someone whose expertise translates into the enhanced performance of predictive automation software.</li></ul> Responsibilities:<ul><li>Designing machine learning systems and self-running artificial intelligence (AI) software to automate predictive models.</li><li>Transforming data science prototypes and applying appropriate ML algorithms and tools.</li><li>Solving complex problems with multi-layered data sets, as well as optimizing existing machine learning libraries and frameworks.</li><li>Developing ML algorithms to analyze huge volumes of historical data to make predictions.</li><li>Running tests, performing statistical analysis, and interpreting test results.</li><li>Documenting machine learning processes.</li><li>Keeping abreast of developments in machine learning.</li></ul> Requirements: <ul><li>2+ years of relevant experience in Machine Learning Engineering.</li><li>Advanced proficiency with Python.</li><li>Extensive knowledge of ML frameworks, libraries, data structures, data modeling, and software architecture.</li><li>In-depth knowledge of mathematics, statistics, and algorithms.</li><li>Superb analytical and problem-solving abilities.</li><li>Great communication and collaboration skills.</li><li>Excellent time management and organizational abilities.</li></ul> Preferences: <ul><li>Start-up experience is good to have.</li><li>Willing to join immediately ideally. </li></ul> Recruitment Process:  <ul><li>To effectively evaluate your application, it is important that we get to know you better. It is necessary that you complete the job-based assessment.</li><li>Please answer all questions in the assessment thoroughly.</li><li>You will be shortlisted based on your profile and answers to the job - based assessment.</li><li>On being shortlisted, you would be contacted for the interview process.</li><li>We further have 3 rounds of interviews.</li><li>Your final CTC would be decided on the basis of your skills, experience and final assessment.</li></ul>Apply directly through our career page: https://careers.leegality.com/jobs/Careers For more information about us please visit our:Our Company and Culture: https://bit.ly/3Iqm5SBOur Website: https://www.leegality.com/Our LinkedIn Page: https://www.linkedin.com/company/leegality/

About the Role: We are looking for a highly capable machine learning engineer to optimize our machine learning systems. You will be evaluating existing machine learning (ML) processes, performing statistical analysis to resolve data set problems, and enhancing the accuracy of our AI software's predictive automation capabilities. Job Responsibilities: Mandatory Skills:· Work experience 1-3 years In data analysis and data manipulation· Knowledge of cloud environments (data bricks, aws, azure etc.) for data handling and analysis is mandatoryCoding requirements:· Hand-on work experience on advance level of python, SQL, big data interfaces - pyspark, hadoop etc. Other required skills:· Develop and implement machine learning algorithms and models to solve complex business problem· Collaborate with data scientists, software engineers, and business stakeholders to identify opportunities to apply machine learning to improve business outcomes· Design, develop, and implement end-to-end machine learning systems, including data pre-processing, feature engineering, model training and evaluation, and deployment· Create and own cloud native API to deploy ML Models· Participate in code and design reviews, and contribute to the development of best practices and standards for the machine learning team· Automate campaigns in a scalable manner to optimize compute and infrastructure cost Education, Work Experience, Key Skill Set Requirements: · Bachelor's or Master's degree in Computer Science, Machine Learning, Data Science, or a related field· 2+ years of experience in machine learning, data science, or a related field· Strong programming skills in Python and experience with popular machine learning libraries such as TensorFlow, PyTorch, or scikit-learn· Pyspark experience is a plus· Experience with data pre-processing, feature engineering, model selection, and evaluation· Experience with cloud platforms and their AI/ML offerings· Strong understanding of statistical concepts and their applications in machine learning· Excellent written and verbal communication skills, with the ability to effectively communicate technical concepts to non-technical stakeholders· Financial industry experience is a plus About the Digital Business Unit at IndusInd: The mandate of the Digital Business Unit at IndusInd Bank is as follows: · Building customer centric products with human centered design principles for retail Individual and micro, small and medium enterprise (MSME) customer segments· Build innovative products and propositions backed with problem solving mindset to discover and solve latent needs of customers · Build Embedded Finance (Banking as a Service) applications · Ensure designs are highly available, highly modular, highly scalable and highly secure · Drive digital business Some of the applications managed by the Digital Business Unit include IndusMobile (bank’s mobile app for retail individual clients), Indusnet (net banking application of the bank), IndusMerchantSolutions app, Whatsapp Banking, Chatbots, easycredit for Individuals, easycredit for Business Owners, savings, current account and fixed deposit online platforms. There are many more innovative digital products and solutions in pipeline. The unit’s objectives are three fold – (a) Drive better customer experience and engagement (b) transform existing lines of businesses and (c) build new digital only or banking as a service led digital business models

Machine Learning Engineer Jobs in Gurugram

Machine Learning Engineer
April 26, 2024

Machine Learning Engineer
April 10, 2024

Machine Learning Engineer
April 7, 2024

Machine Learning Engineer
April 7, 2024

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Machine Learning Engineer Jobs in Gurugram

Machine Learning EngineerApril 26, 2024

Machine Learning EngineerApril 10, 2024

Machine Learning EngineerApril 7, 2024

Machine Learning EngineerApril 7, 2024

Quick filters

Top companies

Machine Learning Engineer
April 26, 2024

Machine Learning Engineer
April 10, 2024

Machine Learning Engineer
April 7, 2024

Machine Learning Engineer
April 7, 2024