Posted:6 days ago|
Platform:
On-site
Part Time
Job Description: We are looking for a highly skilled AI/ML Engineer who can design, implement, and optimize machine learning solutions, including traditional models, deep learning architectures, and generative AI systems. The ideal candidate will have strong hands-on experience with MLOps, data pipelines, and LLM optimization. You will collaborate with data engineers and cross-functional teams to develop scalable, ethical, and high-performance AI/ML solutions that drive business impact.
Develop, implement, and optimize AI/ML models using both traditional machine learning and deep learning techniques.
Design and deploy generative AI models for innovative business applications.
Collaborate with data engineers to build and maintain high-quality data pipelines and preprocessing workflows.
Integrate responsible AI practices to ensure ethical, explainable, and unbiased model behavior.
Develop and maintain MLOps workflows to streamline training, deployment, monitoring, and continuous integration of ML models.
Optimize large language models (LLMs) for efficient inference, memory usage, and performance.
Work closely with product managers, data scientists, and engineering teams to integrate AI/ML into core business processes.
Conduct rigorous testing, validation, and benchmarking of models to ensure accuracy, reliability, and robustness.
Stay abreast of the latest research and advancements in AI/ML, LLMs, MLOps, and generative models.
Strong foundation in machine learning, deep learning, and statistical modeling techniques.
Hands-on experience with TensorFlow, PyTorch, scikit-learn, or similar ML frameworks.
Proficient in Python and ML engineering tools such as MLflow, Kubeflow, or SageMaker.
Experience deploying generative AI solutions, including text, image, or audio generation.
Understanding of responsible AI concepts, including fairness, accountability, and transparency in model building.
Solid experience with MLOps pipelines and continuous delivery of ML models.
Proficiency in optimizing transformer models or LLMs for production workloads.
Familiarity with cloud services (AWS, GCP, Azure) and containerized deployments (Docker, Kubernetes).
Excellent problem-solving and communication skills.
Ability to work collaboratively with cross-functional teams.
Experience with data versioning tools like DVC or LakeFS.
Exposure to vector databases and retrieval-augmented generation (RAG) pipelines.
Knowledge of prompt engineering, fine-tuning, and quantization techniques for LLMs.
Familiarity with Agile workflows and sprint-based delivery.
Contributions to open-source AI/ML projects or published papers in conferences/journals.
About Company / Benefits: Lucent Innovation is a company 8 years old, India's premier IT solutions provider company that offers web & web application development services to global clients. We are Shopify Expert and Shopify Plus Partner, have its office registered in India. Lucent Innovation has a highly skilled team of IT professionals. We ensure that our employees have a work-life balance. In order to achieve the same, We work 5 days working, no night shift and employees are encouraged to report to the office on time and leave on time.
Lucent Innovation
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