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Artificial Intelligence(AI), Machine Learning(ML)

TalentOnLease

 

Gurgaon, Haryana, India

Posted On: 5 days ago
Experience: 5+ years
Availability: Onsite
Openings: 2
Category: Artificial Intelligence (AI) & Machine Learning
Tenure: No Preference/Any
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Description

Role Overview : We are seeking a highly skilled and motivated AI/ML Engineer to join our team. The ideal candidate will have a strong background in machine learning and data science, with experience working on large-scale machine learning projects. As an AI/ML Engineer, you will be responsible for designing, implementing, and optimizing machine learning models, AI applications, and algorithms to solve complex business problems. You will work closely with cross-functional teams, including data scientists, software engineers, product managers, and business stakeholders, to develop innovative solutions that drive business growth. Key Requirements: ? Bachelor’s or master’s degree in Computer Science, Data Science, or a related technical discipline. ? 5+ years of overall software development experience, including 2+ years of hands-on experience in machine learning or AI application development, with a proven track record of delivering production-grade solutions. ? Strong programming proficiency in Python, with demonstrated experience in API development using FastAPI or Flask. ? Backend development experience in C# or Java is considered an added advantage. ? Solid experience developing AI solutions within the AWS ecosystem, including hands-on use of services such as Amazon Bedrock, SageMaker, Lambda, API Gateway, and S3. ? Practical knowledge and implementation experience with Large Language Models and Generative AI frameworks such as LangChain, LlamaIndex, or custom RAG architectures. ? In-depth understanding of RAG systems, including embedding generation, document chunking, retrieval, ranking, and response synthesis. ? Experience with vector databases such as Pinecone, FAISS, or OpenSearch, as well as text embeddings and prompt engineering, is an added advantage. ? Strong understanding of cloud security, including OAuth 2.0-based authentication, IAM policies, secure API design, and data protection practices. ? Familiarity with DevOps practices and tools, including CI/CD pipelines, Docker, and Infrastructure as Code tools such as CloudFormation, AWS CDK, or Terraform. ? Proficiency in relational databases such as SQL and strong understanding of data modelling. ? Solid grasp of machine learning algorithms and techniques, including deep learning architectures. ? Skilled in data preprocessing, feature engineering, and data manipulation using modern data science tools and libraries. ? Demonstrated experience working across the full AI/ML project lifecycle, from business requirements analysis to model deployment and productization. ? Practical experience using AI-assisted engineering tools such as GitHub Copilot or similar capabilities to improve productivity, code quality, documentation, testing, and development efficiency. ? Strong understanding of responsible AI usage in software and AI/ML engineering, including validation of AI-generated outputs, secure coding practices, data privacy, explainability, and adherence to enterprise standards. ? Strong analytical and problem-solving skills, with a structured approach to debugging, model evaluation, performance tuning, and optimization. ? Excellent communication and collaboration abilities, with experience working in cross-functional and agile teams. People Skills: ? Ability to translate complex business problems into technical challenges that can be solved using data science, machine learning, and AI techniques. ? Ability to communicate technical ideas, model outcomes, and AI/ML solution approaches effectively to non-technical audiences. ? Ability to work effectively in a team-oriented environment. ? Curious and open-minded attitude toward new approaches, technologies, and methodologies. ? Strong ownership mindset with the ability to drive initiatives from concept through delivery. Basic Requirement for all candidates –Clear and excellent communication skills as these are client facing roles.Education Criteria – BTech – IT, BTech-CS, BTech – ENTC, BTech – Electronics, AI/ML, Data Science – Similar for MTech as well. Preferred Tier 1, Tier 2 College

Education

Any Graduate

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