Lead Data Scientist
Gujarat, Ahmedabad, India
Simform
Simform is a premier digital engineering services company specializing in Cloud MACH architectures, Data, and AI to create digital experiences and scalable products.Location: Ahmedabad, Gujarat
Job Type: Full Time
Department: Machine learningAbout Simform: Simform is a premier digital engineering company specializing in Cloud, Data, AI/ML, and Experience Engineering to create seamless digital experiences and scalable products. As a trusted partner for Microsoft, AWS, Google Cloud, and Databricks, we serve clients across North America, the UK, and Northern Europe. Simform prides itself on being one of the most reputable employers in the region, fostering a work culture that emphasizes work-life balance, personal freedom, and growth opportunities. Role Overview: We are seeking a Lead Data Scientist who is passionate about leveraging AI and machine learning to develop innovative solutions. This role requires a deep expertise in AI/ML-powered services and a proven track record of building enterprise-scale solutions. Successful candidates will possess strong leadership skills, effective communication abilities, and a keen problem-solving mindset.
Key Responsibilities:
- Lead the design, development, and implementation of enterprise-scale AI/ML solutions optimized for real-world applications.
- Collaborate with cross-functional teams to identify business requirements and translate them into robust AI/ML strategies.
- Develop and optimize generative AI solutions using tools and frameworks such as LangChain, LangSmith, LlamaIndex, MCP, Semantic Kernel, Autogen, and Agents.
- Utilize Python along with frameworks such as PyTorch and TensorFlow to build sophisticated machine learning models and algorithms.
- Conduct analysis of data and identify trends, providing actionable insights to stakeholders.
- Mentor and guide junior data scientists, promoting a culture of innovation and continuous learning within the team.
- Engage with clients to communicate project updates, understand their analytical needs, and deliver tailored AI solutions.
- Apply strong analytical skills to solve complex problems and improve existing models and algorithms.
- Minimum 5 years of experience in developing and implementing AI/ML-powered services and algorithms.
- Experience with deep learning models for structured/unstructured data.
- Proven track record of building enterprise-scale AI/ML solutions, demonstrating initiative and strategic thinking.
- Extensive hands-on experience with generative AI and large language models (LLMs).
- Proficiency in Python and a strong understanding of ML frameworks such as PyTorch and TensorFlow.
- Familiarity with cloud ML stacks, including Azure and AWS.
- Strong analytical and problem-solving skills with the ability to derive insights from complex datasets.
- Excellent communication skills with demonstrated ability to lead cross-functional teams effectively.Good understanding of ETL processes and working with data pipelines.
- Model evaluation and validation techniques (cross-validation, hyperparameter tuning).
- Time Series Analysis and Forecasting.
- Model deployment and monitoring (e.g., Docker, Kubernetes, MLflow, Airflow).
- Building reproducible pipelines for training and serving models.
- Experience in both team leadership and as an individual contributor.
- Young Team, Thriving Culture
- Flat-hierarchical, friendly, engineering-oriented, and growth-focused culture.
- Well-balanced learning and growth opportunities
- Free health insurance.
- Office facilities with a game zone, in-office kitchen with affordable lunch service, and free snacks.
- Sponsorship for certifications/events and library service.
- Flexible work timing, leaves for life events, WFH, and hybrid options
* Salary range is an estimate based on our AI, ML, Data Science Salary Index 💰
Tags: Airflow AWS Azure Databricks Data pipelines Deep Learning Docker Engineering ETL GCP Generative AI Google Cloud Kubernetes LangChain LLMs Machine Learning MLFlow ML models Model deployment Pipelines Python PyTorch TensorFlow Unstructured data
Perks/benefits: Career development Flex hours Startup environment Team events
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