Website:
hirenza.in
Job details:
About The Company
Firstsource is a leading global provider of business process management (BPM) services, dedicated to delivering innovative solutions that enhance customer experience and operational efficiency. With a strong presence across multiple industries including telecommunications, banking, healthcare, and media, Firstsource leverages cutting-edge technology and a customer-centric approach to drive digital transformation for its clients. The company prides itself on fostering a collaborative and inclusive work environment, emphasizing continuous learning and professional growth. Committed to sustainability and ethical business practices, Firstsource aims to create value for its stakeholders while making a positive impact on society.
About The Role
We are seeking a Machine Learning Engineer specializing in Generative AI to join our innovative team at Firstsource. In this role, you will be responsible for designing, developing, and deploying advanced AI models that generate human-like content across various modalities including text, images, audio, and multimodal applications. Your work will directly contribute to the development of next-generation AI solutions that can be integrated into our products and services, enabling enhanced customer engagement, personalized experiences, and operational efficiencies. You will collaborate closely with cross-functional teams such as product management, software development, and data science to translate business needs into scalable AI solutions. The ideal candidate will possess a deep understanding of generative models, strong programming skills, and a passion for pushing the boundaries of AI technology.
Qualifications
The ideal candidate should hold a Bachelor's or Master's degree in Computer Science, Artificial Intelligence, Machine Learning, or a related field. Proven experience with Python programming and familiarity with machine learning frameworks such as TensorFlow, PyTorch, and Hugging Face Transformers is essential. Candidates should have hands-on experience working with large language models (LLMs), generative adversarial networks (GANs), variational autoencoders (VAEs), diffusion models, retrieval-augmented generation (RAG), embeddings, and prompt engineering. A solid understanding of natural language processing (NLP), computer vision, audio/speech modeling, and multimodal AI is required. Experience deploying models on cloud platforms like AWS, GCP, or Azure, along with containerization tools such as Docker and Kubernetes, is highly desirable. Knowledge of vector databases, SQL/NoSQL data pipelines, and MLOps practices including CI/CD, monitoring, and model lifecycle management will be advantageous. Strong problem-solving, analytical thinking, and effective communication skills are also essential for success in this role.
Responsibilities
Your primary responsibilities will include designing, training, and deploying generative AI models such as LLMs, GANs, VAEs, diffusion models, and multimodal systems. You will implement retrieval-augmented generation pipelines, embeddings, and fine-tuning techniques to enhance model performance. Building and maintaining end-to-end machine learning pipelines covering data preprocessing, feature engineering, model training, evaluation, and deployment in production environments will be a core part of your role. Collaborating with product, software, and data teams to integrate AI solutions into real-world applications like chatbots, content generation tools, recommendation engines, and personalization systems will be vital. You will optimize models for latency, scalability, cost-efficiency, and robustness to ensure reliable deployment. Implementing MLOps practices such as CI/CD pipelines, model versioning, monitoring, logging, and automated testing will be crucial for maintaining high-quality AI systems. Ensuring ethical AI practices, bias mitigation, and content safety across all models will be a key responsibility. Additionally, you will stay abreast of the latest advancements in generative AI, conducting research and applying innovative techniques to improve model efficiency, creativity, and output quality. Regular evaluation of model outputs using metrics such as BLEU, ROUGE, FID, and human evaluation scores will be necessary to maintain high standards of performance.
Benefits
Firstsource offers a comprehensive benefits package designed to support the well-being and professional growth of our employees. This includes competitive salary packages, health insurance coverage, and retirement plans. We provide opportunities for continuous learning through training programs, certifications, and participation in industry conferences. Our work environment promotes collaboration, innovation, and flexibility, with options for remote work and flexible hours to support work-life balance. Employees also benefit from a vibrant company culture that values diversity, inclusion, and employee engagement initiatives. Additionally, Firstsource encourages internal mobility and career development through mentorship programs and leadership training, ensuring our team members can grow and succeed within the organization.
Equal Opportunity
Firstsource is an equal opportunity employer. We are committed to fostering an inclusive workplace that values diversity and provides equal employment opportunities to all employees and applicants without regard to race, color, religion, gender, gender identity or expression, sexual orientation, national origin, age, disability, or any other protected characteristic. We believe that a diverse workforce enhances our ability to innovate and serve our clients effectively. We are dedicated to creating a work environment where everyone feels respected, valued, and empowered to contribute their best.
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