Solutions Architect

Solutions Architect (Director/Associate Director)

Total Years of Experience : 10+ Years

Required Skills: LLM Finetuning, AI ML,NLP,

Work Mode : Remote

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About Firstsource

Firstsource Solutions Limited, an RP-Sanjiv Goenka Group company (NSE: FSL, BSE: 532809, Reuters: FISO.BO, Bloomberg: FSOL:IN), is a specialized global business process services partner, providing transformational solutions and services spanning the customer lifecycle across Healthcare, Banking and Financial Services, Communications, Media and Technology, Retail, and other diverse industries. With an established presence in the US, the UK, India, Mexico, Australia, South Africa, and the Philippines, we make it happen for our clients, solving their biggest challenges with hyper-focused, domain-centered teams and cutting-edge tech, data, and analytics. Our real-world practitioners work collaboratively to deliver future-focused outcomes.

Key Responsibilities:

Design and Oversee AI Architecture: Develop the overall architecture for the LLM from pretraining to supervised fine tuning and RLHF

Technical Strategy & Roadmap: Define and execute comprehensive ML/AI strategy aligned with business objectives, including LLM infrastructure, retrieval pipelines, and generative workflows

Architecture Oversight: Lead system architecture decisions for scalable ML platforms, ensuring robust model deployment and operational excellence

Cross-functional Collaboration: Partner closely with product management, engineering, and business stakeholders to translate requirements into technical solutions

Model Development: Actively participate in designing, training, and optimizing machine learning models, maintaining technical currency with 20-30% hands-on contribution

Code Reviews & Technical Guidance: Conduct thorough code reviews and provide technical mentorship to ensure engineering excellence across the team

Team Building: Recruit, hire, and develop top-tier ML engineers, data scientists, and researchers while fostering a culture of innovation and continuous learning

Mentorship: Guide team members through complex technical challenges, career development, and best practices in ML engineering

Required Skills:

Programming Proficiency: Expert-level skills in Python, R, with deep knowledge of ML frameworks (TensorFlow, PyTorch, Scikit-learn, Pandas, NumPy)

Machine Learning: Extensive experience with statistical modeling, deep learning, NLP, computer vision, and generative AI technologies

Infrastructure & Deployment: Hands-on experience with cloud platforms (AWS, Azure, GCP), containerization (Docker, Kubernetes), and ML pipeline orchestration

Data Engineering: Strong understanding of data architectures, feature engineering, and big data technologies (Spark, Hadoop, Kafka)

Programming Proficiency: Expert-level skills in Python, R, with deep knowledge of ML frameworks (TensorFlow, PyTorch, Scikit-learn, Pandas, NumPy)

Leadership Skills: Strong leadership abilities to guide technical teams and communicate effectively with non-technical stakeholders.

Problem-Solving Abilities: Excellent analytical skills to address complex technical challenges and devise innovative solutions.

Background in building and scaling ML platforms in high-growth technology companies

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