Gen AI Developer

8 years

0 Lacs

Posted:6 days ago| Platform: GlassDoor logo

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Work Mode

On-site

Job Type

Part Time

Job Description

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.


Requirements: Key Responsibilities:

  • 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.

Required Skills & Qualifications:

  • 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.

Preferred Qualifications:

  • 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.

The company organizes several indoor/outdoor activities throughout the year. Besides these, the company organizes trips for employees. Celebrations are an integral part of our work culture. We celebrate all major festivals like Diwali, Holi, Lohri, Christmas day, Navratra (Dandia), Makar Sankranti etc. We also enjoy several other important occasions like New Year, Independence Day, Republic Day, Women's Day, Mother's day, etc.
Perks:
- 5days working
  • Flexible working hours
  • No hidden policy
  • Friendly working Environment
  • In-house training
  • Quarterly and Yearly rewards & Appreciation

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